org.bytedeco.javacpp.cuda Maven / Gradle / Ivy
// Targeted by JavaCPP version 1.3: DO NOT EDIT THIS FILE
package org.bytedeco.javacpp;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
public class cuda extends org.bytedeco.javacpp.presets.cuda {
static { Loader.load(); }
// Parsed from
/*
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* NOTICE TO LICENSEE:
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* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
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* OF THESE LICENSED DELIVERABLES.
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* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
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// #ifndef __cuda_cuda_h__
// #define __cuda_cuda_h__
// #include
/**
* CUDA API versioning support
*/
// #if defined(CUDA_FORCE_API_VERSION)
// #else
public static final int __CUDA_API_VERSION = 7050;
// #endif /* CUDA_FORCE_API_VERSION */
// #if defined(__CUDA_API_VERSION_INTERNAL) || defined(CUDA_API_PER_THREAD_DEFAULT_STREAM)
// #define __CUDA_API_PER_THREAD_DEFAULT_STREAM
// #define __CUDA_API_PTDS(api) api ## _ptds
// #define __CUDA_API_PTSZ(api) api ## _ptsz
// #else
// #define __CUDA_API_PTDS(api) api
// #define __CUDA_API_PTSZ(api) api
// #endif
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION >= 3020
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION >= 3020 */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION >= 4000
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION >= 4000 */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION >= 4010
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION >= 4010 */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION >= 6050
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION >= 6050 */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION >= 6050
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION >= 6050 */
// #if !defined(__CUDA_API_VERSION_INTERNAL)
// #if defined(__CUDA_API_VERSION) && __CUDA_API_VERSION >= 3020 && __CUDA_API_VERSION < 4010
// #endif /* __CUDA_API_VERSION && __CUDA_API_VERSION >= 3020 && __CUDA_API_VERSION < 4010 */
// #endif /* __CUDA_API_VERSION_INTERNAL */
// #if defined(__CUDA_API_PER_THREAD_DEFAULT_STREAM)
// #endif
/**
* \file cuda.h
* \brief Header file for the CUDA Toolkit application programming interface.
*
* \file cudaGL.h
* \brief Header file for the OpenGL interoperability functions of the
* low-level CUDA driver application programming interface.
*
* \file cudaD3D9.h
* \brief Header file for the Direct3D 9 interoperability functions of the
* low-level CUDA driver application programming interface.
*/
/**
* \defgroup CUDA_TYPES Data types used by CUDA driver
* \{
*/
/**
* CUDA API version number
*/
public static final int CUDA_VERSION = 7050;
// #ifdef __cplusplus
// #endif
/**
* CUDA device pointer
* CUdeviceptr is defined as an unsigned integer type whose size matches the size of a pointer on the target platform.
*/
// #if __CUDA_API_VERSION >= 3020
// #if defined(_WIN64) || defined(__LP64__)
// #else
// #endif
// #endif /* __CUDA_API_VERSION >= 3020 */
/** CUDA device */
/** CUDA context */
@Opaque public static class CUctx_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUctx_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUctx_st(Pointer p) { super(p); }
}
/** CUDA module */
@Opaque public static class CUmod_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUmod_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUmod_st(Pointer p) { super(p); }
}
/** CUDA function */
@Opaque public static class CUfunc_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUfunc_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUfunc_st(Pointer p) { super(p); }
}
/** CUDA array */
@Opaque public static class CUarray_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUarray_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUarray_st(Pointer p) { super(p); }
}
/** CUDA mipmapped array */
@Opaque public static class CUmipmappedArray_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUmipmappedArray_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUmipmappedArray_st(Pointer p) { super(p); }
}
/** CUDA texture reference */
@Opaque public static class CUtexref_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUtexref_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUtexref_st(Pointer p) { super(p); }
}
/** CUDA surface reference */
@Opaque public static class CUsurfref_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUsurfref_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUsurfref_st(Pointer p) { super(p); }
}
/** CUDA event */
@Opaque public static class CUevent_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUevent_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUevent_st(Pointer p) { super(p); }
}
/** CUDA stream */
@Opaque public static class CUstream_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUstream_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUstream_st(Pointer p) { super(p); }
}
/** CUDA graphics interop resource */
@Opaque public static class CUgraphicsResource_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUgraphicsResource_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUgraphicsResource_st(Pointer p) { super(p); }
}
/** An opaque value that represents a CUDA texture object */
/** An opaque value that represents a CUDA surface object */
public static class CUuuid extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUuuid() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUuuid(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUuuid(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUuuid position(long position) {
return (CUuuid)super.position(position);
}
public native @Cast("char") byte bytes(int i); public native CUuuid bytes(int i, byte bytes);
@MemberGetter public native @Cast("char*") BytePointer bytes();
}
// #if __CUDA_API_VERSION >= 4010
/**
* CUDA IPC handle size
*/
public static final int CU_IPC_HANDLE_SIZE = 64;
/**
* CUDA IPC event handle
*/
public static class CUipcEventHandle extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUipcEventHandle() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUipcEventHandle(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUipcEventHandle(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUipcEventHandle position(long position) {
return (CUipcEventHandle)super.position(position);
}
public native @Cast("char") byte reserved(int i); public native CUipcEventHandle reserved(int i, byte reserved);
@MemberGetter public native @Cast("char*") BytePointer reserved();
}
/**
* CUDA IPC mem handle
*/
public static class CUipcMemHandle extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUipcMemHandle() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUipcMemHandle(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUipcMemHandle(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUipcMemHandle position(long position) {
return (CUipcMemHandle)super.position(position);
}
public native @Cast("char") byte reserved(int i); public native CUipcMemHandle reserved(int i, byte reserved);
@MemberGetter public native @Cast("char*") BytePointer reserved();
}
/**
* CUDA Ipc Mem Flags
*/
/** enum CUipcMem_flags */
public static final int
/** Automatically enable peer access between remote devices as needed */
CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS = 0x1;
// #endif
/**
* CUDA Mem Attach Flags
*/
/** enum CUmemAttach_flags */
public static final int
/** Memory can be accessed by any stream on any device */
CU_MEM_ATTACH_GLOBAL = 0x1,
/** Memory cannot be accessed by any stream on any device */
CU_MEM_ATTACH_HOST = 0x2,
/** Memory can only be accessed by a single stream on the associated device */
CU_MEM_ATTACH_SINGLE = 0x4;
/**
* Context creation flags
*/
/** enum CUctx_flags */
public static final int
/** Automatic scheduling */
CU_CTX_SCHED_AUTO = 0x00,
/** Set spin as default scheduling */
CU_CTX_SCHED_SPIN = 0x01,
/** Set yield as default scheduling */
CU_CTX_SCHED_YIELD = 0x02,
/** Set blocking synchronization as default scheduling */
CU_CTX_SCHED_BLOCKING_SYNC = 0x04,
/** Set blocking synchronization as default scheduling
* @deprecated This flag was deprecated as of CUDA 4.0
* and was replaced with ::CU_CTX_SCHED_BLOCKING_SYNC. */
CU_CTX_BLOCKING_SYNC = 0x04,
CU_CTX_SCHED_MASK = 0x07,
/** Support mapped pinned allocations */
CU_CTX_MAP_HOST = 0x08,
/** Keep local memory allocation after launch */
CU_CTX_LMEM_RESIZE_TO_MAX = 0x10,
CU_CTX_FLAGS_MASK = 0x1f;
/**
* Stream creation flags
*/
/** enum CUstream_flags */
public static final int
/** Default stream flag */
CU_STREAM_DEFAULT = 0x0,
/** Stream does not synchronize with stream 0 (the NULL stream) */
CU_STREAM_NON_BLOCKING = 0x1;
/**
* Legacy stream handle
*
* Stream handle that can be passed as a CUstream to use an implicit stream
* with legacy synchronization behavior.
*
* See details of the \link_sync_behavior
*/
public static native @MemberGetter CUstream_st CU_STREAM_LEGACY();
public static final CUstream_st CU_STREAM_LEGACY = CU_STREAM_LEGACY();
/**
* Per-thread stream handle
*
* Stream handle that can be passed as a CUstream to use an implicit stream
* with per-thread synchronization behavior.
*
* See details of the \link_sync_behavior
*/
public static native @MemberGetter CUstream_st CU_STREAM_PER_THREAD();
public static final CUstream_st CU_STREAM_PER_THREAD = CU_STREAM_PER_THREAD();
/**
* Event creation flags
*/
/** enum CUevent_flags */
public static final int
/** Default event flag */
CU_EVENT_DEFAULT = 0x0,
/** Event uses blocking synchronization */
CU_EVENT_BLOCKING_SYNC = 0x1,
/** Event will not record timing data */
CU_EVENT_DISABLE_TIMING = 0x2,
/** Event is suitable for interprocess use. CU_EVENT_DISABLE_TIMING must be set */
CU_EVENT_INTERPROCESS = 0x4;
/**
* Occupancy calculator flag
*/
/** enum CUoccupancy_flags */
public static final int
/** Default behavior */
CU_OCCUPANCY_DEFAULT = 0x0,
/** Assume global caching is enabled and cannot be automatically turned off */
CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE = 0x1;
/**
* Array formats
*/
/** enum CUarray_format */
public static final int
/** Unsigned 8-bit integers */
CU_AD_FORMAT_UNSIGNED_INT8 = 0x01,
/** Unsigned 16-bit integers */
CU_AD_FORMAT_UNSIGNED_INT16 = 0x02,
/** Unsigned 32-bit integers */
CU_AD_FORMAT_UNSIGNED_INT32 = 0x03,
/** Signed 8-bit integers */
CU_AD_FORMAT_SIGNED_INT8 = 0x08,
/** Signed 16-bit integers */
CU_AD_FORMAT_SIGNED_INT16 = 0x09,
/** Signed 32-bit integers */
CU_AD_FORMAT_SIGNED_INT32 = 0x0a,
/** 16-bit floating point */
CU_AD_FORMAT_HALF = 0x10,
/** 32-bit floating point */
CU_AD_FORMAT_FLOAT = 0x20;
/**
* Texture reference addressing modes
*/
/** enum CUaddress_mode */
public static final int
/** Wrapping address mode */
CU_TR_ADDRESS_MODE_WRAP = 0,
/** Clamp to edge address mode */
CU_TR_ADDRESS_MODE_CLAMP = 1,
/** Mirror address mode */
CU_TR_ADDRESS_MODE_MIRROR = 2,
/** Border address mode */
CU_TR_ADDRESS_MODE_BORDER = 3;
/**
* Texture reference filtering modes
*/
/** enum CUfilter_mode */
public static final int
/** Point filter mode */
CU_TR_FILTER_MODE_POINT = 0,
/** Linear filter mode */
CU_TR_FILTER_MODE_LINEAR = 1;
/**
* Device properties
*/
/** enum CUdevice_attribute */
public static final int
/** Maximum number of threads per block */
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 1,
/** Maximum block dimension X */
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X = 2,
/** Maximum block dimension Y */
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y = 3,
/** Maximum block dimension Z */
CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z = 4,
/** Maximum grid dimension X */
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X = 5,
/** Maximum grid dimension Y */
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y = 6,
/** Maximum grid dimension Z */
CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z = 7,
/** Maximum shared memory available per block in bytes */
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK = 8,
/** Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK */
CU_DEVICE_ATTRIBUTE_SHARED_MEMORY_PER_BLOCK = 8,
/** Memory available on device for __constant__ variables in a CUDA C kernel in bytes */
CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY = 9,
/** Warp size in threads */
CU_DEVICE_ATTRIBUTE_WARP_SIZE = 10,
/** Maximum pitch in bytes allowed by memory copies */
CU_DEVICE_ATTRIBUTE_MAX_PITCH = 11,
/** Maximum number of 32-bit registers available per block */
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK = 12,
/** Deprecated, use CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK */
CU_DEVICE_ATTRIBUTE_REGISTERS_PER_BLOCK = 12,
/** Typical clock frequency in kilohertz */
CU_DEVICE_ATTRIBUTE_CLOCK_RATE = 13,
/** Alignment requirement for textures */
CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT = 14,
/** Device can possibly copy memory and execute a kernel concurrently. Deprecated. Use instead CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT. */
CU_DEVICE_ATTRIBUTE_GPU_OVERLAP = 15,
/** Number of multiprocessors on device */
CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT = 16,
/** Specifies whether there is a run time limit on kernels */
CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT = 17,
/** Device is integrated with host memory */
CU_DEVICE_ATTRIBUTE_INTEGRATED = 18,
/** Device can map host memory into CUDA address space */
CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY = 19,
/** Compute mode (See ::CUcomputemode for details) */
CU_DEVICE_ATTRIBUTE_COMPUTE_MODE = 20,
/** Maximum 1D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH = 21,
/** Maximum 2D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH = 22,
/** Maximum 2D texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT = 23,
/** Maximum 3D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH = 24,
/** Maximum 3D texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT = 25,
/** Maximum 3D texture depth */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH = 26,
/** Maximum 2D layered texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH = 27,
/** Maximum 2D layered texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT = 28,
/** Maximum layers in a 2D layered texture */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS = 29,
/** Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_WIDTH = 27,
/** Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_HEIGHT = 28,
/** Deprecated, use CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_ARRAY_NUMSLICES = 29,
/** Alignment requirement for surfaces */
CU_DEVICE_ATTRIBUTE_SURFACE_ALIGNMENT = 30,
/** Device can possibly execute multiple kernels concurrently */
CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS = 31,
/** Device has ECC support enabled */
CU_DEVICE_ATTRIBUTE_ECC_ENABLED = 32,
/** PCI bus ID of the device */
CU_DEVICE_ATTRIBUTE_PCI_BUS_ID = 33,
/** PCI device ID of the device */
CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID = 34,
/** Device is using TCC driver model */
CU_DEVICE_ATTRIBUTE_TCC_DRIVER = 35,
/** Peak memory clock frequency in kilohertz */
CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE = 36,
/** Global memory bus width in bits */
CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH = 37,
/** Size of L2 cache in bytes */
CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE = 38,
/** Maximum resident threads per multiprocessor */
CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR = 39,
/** Number of asynchronous engines */
CU_DEVICE_ATTRIBUTE_ASYNC_ENGINE_COUNT = 40,
/** Device shares a unified address space with the host */
CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING = 41,
/** Maximum 1D layered texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH = 42,
/** Maximum layers in a 1D layered texture */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS = 43,
/** Deprecated, do not use. */
CU_DEVICE_ATTRIBUTE_CAN_TEX2D_GATHER = 44,
/** Maximum 2D texture width if CUDA_ARRAY3D_TEXTURE_GATHER is set */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH = 45,
/** Maximum 2D texture height if CUDA_ARRAY3D_TEXTURE_GATHER is set */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT = 46,
/** Alternate maximum 3D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE = 47,
/** Alternate maximum 3D texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE = 48,
/** Alternate maximum 3D texture depth */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE = 49,
/** PCI domain ID of the device */
CU_DEVICE_ATTRIBUTE_PCI_DOMAIN_ID = 50,
/** Pitch alignment requirement for textures */
CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT = 51,
/** Maximum cubemap texture width/height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH = 52,
/** Maximum cubemap layered texture width/height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH = 53,
/** Maximum layers in a cubemap layered texture */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS = 54,
/** Maximum 1D surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH = 55,
/** Maximum 2D surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH = 56,
/** Maximum 2D surface height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT = 57,
/** Maximum 3D surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH = 58,
/** Maximum 3D surface height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT = 59,
/** Maximum 3D surface depth */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH = 60,
/** Maximum 1D layered surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH = 61,
/** Maximum layers in a 1D layered surface */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS = 62,
/** Maximum 2D layered surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH = 63,
/** Maximum 2D layered surface height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT = 64,
/** Maximum layers in a 2D layered surface */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS = 65,
/** Maximum cubemap surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH = 66,
/** Maximum cubemap layered surface width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH = 67,
/** Maximum layers in a cubemap layered surface */
CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS = 68,
/** Maximum 1D linear texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH = 69,
/** Maximum 2D linear texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH = 70,
/** Maximum 2D linear texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT = 71,
/** Maximum 2D linear texture pitch in bytes */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH = 72,
/** Maximum mipmapped 2D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH = 73,
/** Maximum mipmapped 2D texture height */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT = 74,
/** Major compute capability version number */
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR = 75,
/** Minor compute capability version number */
CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR = 76,
/** Maximum mipmapped 1D texture width */
CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH = 77,
/** Device supports stream priorities */
CU_DEVICE_ATTRIBUTE_STREAM_PRIORITIES_SUPPORTED = 78,
/** Device supports caching globals in L1 */
CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED = 79,
/** Device supports caching locals in L1 */
CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED = 80,
/** Maximum shared memory available per multiprocessor in bytes */
CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR = 81,
/** Maximum number of 32-bit registers available per multiprocessor */
CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR = 82,
/** Device can allocate managed memory on this system */
CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY = 83,
/** Device is on a multi-GPU board */
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD = 84,
/** Unique id for a group of devices on the same multi-GPU board */
CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID = 85,
CU_DEVICE_ATTRIBUTE_MAX = 86;
/**
* Legacy device properties
*/
public static class CUdevprop extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUdevprop() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUdevprop(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUdevprop(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUdevprop position(long position) {
return (CUdevprop)super.position(position);
}
/** Maximum number of threads per block */
public native int maxThreadsPerBlock(); public native CUdevprop maxThreadsPerBlock(int maxThreadsPerBlock);
/** Maximum size of each dimension of a block */
public native int maxThreadsDim(int i); public native CUdevprop maxThreadsDim(int i, int maxThreadsDim);
@MemberGetter public native IntPointer maxThreadsDim();
/** Maximum size of each dimension of a grid */
public native int maxGridSize(int i); public native CUdevprop maxGridSize(int i, int maxGridSize);
@MemberGetter public native IntPointer maxGridSize();
/** Shared memory available per block in bytes */
public native int sharedMemPerBlock(); public native CUdevprop sharedMemPerBlock(int sharedMemPerBlock);
/** Constant memory available on device in bytes */
public native int totalConstantMemory(); public native CUdevprop totalConstantMemory(int totalConstantMemory);
/** Warp size in threads */
public native int SIMDWidth(); public native CUdevprop SIMDWidth(int SIMDWidth);
/** Maximum pitch in bytes allowed by memory copies */
public native int memPitch(); public native CUdevprop memPitch(int memPitch);
/** 32-bit registers available per block */
public native int regsPerBlock(); public native CUdevprop regsPerBlock(int regsPerBlock);
/** Clock frequency in kilohertz */
public native int clockRate(); public native CUdevprop clockRate(int clockRate);
/** Alignment requirement for textures */
public native int textureAlign(); public native CUdevprop textureAlign(int textureAlign);
}
/**
* Pointer information
*/
/** enum CUpointer_attribute */
public static final int
/** The ::CUcontext on which a pointer was allocated or registered */
CU_POINTER_ATTRIBUTE_CONTEXT = 1,
/** The ::CUmemorytype describing the physical location of a pointer */
CU_POINTER_ATTRIBUTE_MEMORY_TYPE = 2,
/** The address at which a pointer's memory may be accessed on the device */
CU_POINTER_ATTRIBUTE_DEVICE_POINTER = 3,
/** The address at which a pointer's memory may be accessed on the host */
CU_POINTER_ATTRIBUTE_HOST_POINTER = 4,
/** A pair of tokens for use with the nv-p2p.h Linux kernel interface */
CU_POINTER_ATTRIBUTE_P2P_TOKENS = 5,
/** Synchronize every synchronous memory operation initiated on this region */
CU_POINTER_ATTRIBUTE_SYNC_MEMOPS = 6,
/** A process-wide unique ID for an allocated memory region*/
CU_POINTER_ATTRIBUTE_BUFFER_ID = 7,
/** Indicates if the pointer points to managed memory */
CU_POINTER_ATTRIBUTE_IS_MANAGED = 8;
/**
* Function properties
*/
/** enum CUfunction_attribute */
public static final int
/**
* The maximum number of threads per block, beyond which a launch of the
* function would fail. This number depends on both the function and the
* device on which the function is currently loaded.
*/
CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK = 0,
/**
* The size in bytes of statically-allocated shared memory required by
* this function. This does not include dynamically-allocated shared
* memory requested by the user at runtime.
*/
CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES = 1,
/**
* The size in bytes of user-allocated constant memory required by this
* function.
*/
CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES = 2,
/**
* The size in bytes of local memory used by each thread of this function.
*/
CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES = 3,
/**
* The number of registers used by each thread of this function.
*/
CU_FUNC_ATTRIBUTE_NUM_REGS = 4,
/**
* The PTX virtual architecture version for which the function was
* compiled. This value is the major PTX version * 10 + the minor PTX
* version, so a PTX version 1.3 function would return the value 13.
* Note that this may return the undefined value of 0 for cubins
* compiled prior to CUDA 3.0.
*/
CU_FUNC_ATTRIBUTE_PTX_VERSION = 5,
/**
* The binary architecture version for which the function was compiled.
* This value is the major binary version * 10 + the minor binary version,
* so a binary version 1.3 function would return the value 13. Note that
* this will return a value of 10 for legacy cubins that do not have a
* properly-encoded binary architecture version.
*/
CU_FUNC_ATTRIBUTE_BINARY_VERSION = 6,
/**
* The attribute to indicate whether the function has been compiled with
* user specified option "-Xptxas --dlcm=ca" set .
*/
CU_FUNC_ATTRIBUTE_CACHE_MODE_CA = 7,
CU_FUNC_ATTRIBUTE_MAX = 8;
/**
* Function cache configurations
*/
/** enum CUfunc_cache */
public static final int
/** no preference for shared memory or L1 (default) */
CU_FUNC_CACHE_PREFER_NONE = 0x00,
/** prefer larger shared memory and smaller L1 cache */
CU_FUNC_CACHE_PREFER_SHARED = 0x01,
/** prefer larger L1 cache and smaller shared memory */
CU_FUNC_CACHE_PREFER_L1 = 0x02,
/** prefer equal sized L1 cache and shared memory */
CU_FUNC_CACHE_PREFER_EQUAL = 0x03;
/**
* Shared memory configurations
*/
/** enum CUsharedconfig */
public static final int
/** set default shared memory bank size */
CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE = 0x00,
/** set shared memory bank width to four bytes */
CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE = 0x01,
/** set shared memory bank width to eight bytes */
CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE = 0x02;
/**
* Memory types
*/
/** enum CUmemorytype */
public static final int
/** Host memory */
CU_MEMORYTYPE_HOST = 0x01,
/** Device memory */
CU_MEMORYTYPE_DEVICE = 0x02,
/** Array memory */
CU_MEMORYTYPE_ARRAY = 0x03,
/** Unified device or host memory */
CU_MEMORYTYPE_UNIFIED = 0x04;
/**
* Compute Modes
*/
/** enum CUcomputemode */
public static final int
/** Default compute mode (Multiple contexts allowed per device) */
CU_COMPUTEMODE_DEFAULT = 0,
/** Compute-exclusive-thread mode (Only one context used by a single thread can be present on this device at a time) */
CU_COMPUTEMODE_EXCLUSIVE = 1,
/** Compute-prohibited mode (No contexts can be created on this device at this time) */
CU_COMPUTEMODE_PROHIBITED = 2,
/** Compute-exclusive-process mode (Only one context used by a single process can be present on this device at a time) */
CU_COMPUTEMODE_EXCLUSIVE_PROCESS = 3;
/**
* Online compiler and linker options
*/
/** enum CUjit_option */
public static final int
/**
* Max number of registers that a thread may use.\n
* Option type: unsigned int\n
* Applies to: compiler only
*/
CU_JIT_MAX_REGISTERS = 0,
/**
* IN: Specifies minimum number of threads per block to target compilation
* for\n
* OUT: Returns the number of threads the compiler actually targeted.
* This restricts the resource utilization fo the compiler (e.g. max
* registers) such that a block with the given number of threads should be
* able to launch based on register limitations. Note, this option does not
* currently take into account any other resource limitations, such as
* shared memory utilization.\n
* Cannot be combined with ::CU_JIT_TARGET.\n
* Option type: unsigned int\n
* Applies to: compiler only
*/
CU_JIT_THREADS_PER_BLOCK = 1,
/**
* Overwrites the option value with the total wall clock time, in
* milliseconds, spent in the compiler and linker\n
* Option type: float\n
* Applies to: compiler and linker
*/
CU_JIT_WALL_TIME = 2,
/**
* Pointer to a buffer in which to print any log messages
* that are informational in nature (the buffer size is specified via
* option ::CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES)\n
* Option type: char *\n
* Applies to: compiler and linker
*/
CU_JIT_INFO_LOG_BUFFER = 3,
/**
* IN: Log buffer size in bytes. Log messages will be capped at this size
* (including null terminator)\n
* OUT: Amount of log buffer filled with messages\n
* Option type: unsigned int\n
* Applies to: compiler and linker
*/
CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES = 4,
/**
* Pointer to a buffer in which to print any log messages that
* reflect errors (the buffer size is specified via option
* ::CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES)\n
* Option type: char *\n
* Applies to: compiler and linker
*/
CU_JIT_ERROR_LOG_BUFFER = 5,
/**
* IN: Log buffer size in bytes. Log messages will be capped at this size
* (including null terminator)\n
* OUT: Amount of log buffer filled with messages\n
* Option type: unsigned int\n
* Applies to: compiler and linker
*/
CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES = 6,
/**
* Level of optimizations to apply to generated code (0 - 4), with 4
* being the default and highest level of optimizations.\n
* Option type: unsigned int\n
* Applies to: compiler only
*/
CU_JIT_OPTIMIZATION_LEVEL = 7,
/**
* No option value required. Determines the target based on the current
* attached context (default)\n
* Option type: No option value needed\n
* Applies to: compiler and linker
*/
CU_JIT_TARGET_FROM_CUCONTEXT = 8,
/**
* Target is chosen based on supplied ::CUjit_target. Cannot be
* combined with ::CU_JIT_THREADS_PER_BLOCK.\n
* Option type: unsigned int for enumerated type ::CUjit_target\n
* Applies to: compiler and linker
*/
CU_JIT_TARGET = 9,
/**
* Specifies choice of fallback strategy if matching cubin is not found.
* Choice is based on supplied ::CUjit_fallback. This option cannot be
* used with cuLink* APIs as the linker requires exact matches.\n
* Option type: unsigned int for enumerated type ::CUjit_fallback\n
* Applies to: compiler only
*/
CU_JIT_FALLBACK_STRATEGY = 10,
/**
* Specifies whether to create debug information in output (-g)
* (0: false, default)\n
* Option type: int\n
* Applies to: compiler and linker
*/
CU_JIT_GENERATE_DEBUG_INFO = 11,
/**
* Generate verbose log messages (0: false, default)\n
* Option type: int\n
* Applies to: compiler and linker
*/
CU_JIT_LOG_VERBOSE = 12,
/**
* Generate line number information (-lineinfo) (0: false, default)\n
* Option type: int\n
* Applies to: compiler only
*/
CU_JIT_GENERATE_LINE_INFO = 13,
/**
* Specifies whether to enable caching explicitly (-dlcm) \n
* Choice is based on supplied ::CUjit_cacheMode_enum.\n
* Option type: unsigned int for enumerated type ::CUjit_cacheMode_enum\n
* Applies to: compiler only
*/
CU_JIT_CACHE_MODE = 14,
CU_JIT_NUM_OPTIONS = 15;
/**
* Online compilation targets
*/
/** enum CUjit_target */
public static final int
/** Compute device class 1.0 */
CU_TARGET_COMPUTE_10 = 10,
/** Compute device class 1.1 */
CU_TARGET_COMPUTE_11 = 11,
/** Compute device class 1.2 */
CU_TARGET_COMPUTE_12 = 12,
/** Compute device class 1.3 */
CU_TARGET_COMPUTE_13 = 13,
/** Compute device class 2.0 */
CU_TARGET_COMPUTE_20 = 20,
/** Compute device class 2.1 */
CU_TARGET_COMPUTE_21 = 21,
/** Compute device class 3.0 */
CU_TARGET_COMPUTE_30 = 30,
/** Compute device class 3.2 */
CU_TARGET_COMPUTE_32 = 32,
/** Compute device class 3.5 */
CU_TARGET_COMPUTE_35 = 35,
/** Compute device class 3.7 */
CU_TARGET_COMPUTE_37 = 37,
/** Compute device class 5.0 */
CU_TARGET_COMPUTE_50 = 50,
/** Compute device class 5.2 */
CU_TARGET_COMPUTE_52 = 52;
/**
* Cubin matching fallback strategies
*/
/** enum CUjit_fallback */
public static final int
/** Prefer to compile ptx if exact binary match not found */
CU_PREFER_PTX = 0,
/** Prefer to fall back to compatible binary code if exact match not found */
CU_PREFER_BINARY = 1;
/**
* Caching modes for dlcm
*/
/** enum CUjit_cacheMode */
public static final int
/** Compile with no -dlcm flag specified */
CU_JIT_CACHE_OPTION_NONE = 0,
/** Compile with L1 cache disabled */
CU_JIT_CACHE_OPTION_CG = 1,
/** Compile with L1 cache enabled */
CU_JIT_CACHE_OPTION_CA = 2;
/**
* Device code formats
*/
/** enum CUjitInputType */
public static final int
/**
* Compiled device-class-specific device code\n
* Applicable options: none
*/
CU_JIT_INPUT_CUBIN = 0,
/**
* PTX source code\n
* Applicable options: PTX compiler options
*/
CU_JIT_INPUT_PTX = 1,
/**
* Bundle of multiple cubins and/or PTX of some device code\n
* Applicable options: PTX compiler options, ::CU_JIT_FALLBACK_STRATEGY
*/
CU_JIT_INPUT_FATBINARY = 2,
/**
* Host object with embedded device code\n
* Applicable options: PTX compiler options, ::CU_JIT_FALLBACK_STRATEGY
*/
CU_JIT_INPUT_OBJECT = 3,
/**
* Archive of host objects with embedded device code\n
* Applicable options: PTX compiler options, ::CU_JIT_FALLBACK_STRATEGY
*/
CU_JIT_INPUT_LIBRARY = 4,
CU_JIT_NUM_INPUT_TYPES = 5;
// #if __CUDA_API_VERSION >= 5050
@Opaque public static class CUlinkState_st extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public CUlinkState_st() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUlinkState_st(Pointer p) { super(p); }
}
// #endif /* __CUDA_API_VERSION >= 5050 */
/**
* Flags to register a graphics resource
*/
/** enum CUgraphicsRegisterFlags */
public static final int
CU_GRAPHICS_REGISTER_FLAGS_NONE = 0x00,
CU_GRAPHICS_REGISTER_FLAGS_READ_ONLY = 0x01,
CU_GRAPHICS_REGISTER_FLAGS_WRITE_DISCARD = 0x02,
CU_GRAPHICS_REGISTER_FLAGS_SURFACE_LDST = 0x04,
CU_GRAPHICS_REGISTER_FLAGS_TEXTURE_GATHER = 0x08;
/**
* Flags for mapping and unmapping interop resources
*/
/** enum CUgraphicsMapResourceFlags */
public static final int
CU_GRAPHICS_MAP_RESOURCE_FLAGS_NONE = 0x00,
CU_GRAPHICS_MAP_RESOURCE_FLAGS_READ_ONLY = 0x01,
CU_GRAPHICS_MAP_RESOURCE_FLAGS_WRITE_DISCARD = 0x02;
/**
* Array indices for cube faces
*/
/** enum CUarray_cubemap_face */
public static final int
/** Positive X face of cubemap */
CU_CUBEMAP_FACE_POSITIVE_X = 0x00,
/** Negative X face of cubemap */
CU_CUBEMAP_FACE_NEGATIVE_X = 0x01,
/** Positive Y face of cubemap */
CU_CUBEMAP_FACE_POSITIVE_Y = 0x02,
/** Negative Y face of cubemap */
CU_CUBEMAP_FACE_NEGATIVE_Y = 0x03,
/** Positive Z face of cubemap */
CU_CUBEMAP_FACE_POSITIVE_Z = 0x04,
/** Negative Z face of cubemap */
CU_CUBEMAP_FACE_NEGATIVE_Z = 0x05;
/**
* Limits
*/
/** enum CUlimit */
public static final int
/** GPU thread stack size */
CU_LIMIT_STACK_SIZE = 0x00,
/** GPU printf FIFO size */
CU_LIMIT_PRINTF_FIFO_SIZE = 0x01,
/** GPU malloc heap size */
CU_LIMIT_MALLOC_HEAP_SIZE = 0x02,
/** GPU device runtime launch synchronize depth */
CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH = 0x03,
/** GPU device runtime pending launch count */
CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT = 0x04,
CU_LIMIT_MAX = 0x04 + 1;
/**
* Resource types
*/
/** enum CUresourcetype */
public static final int
/** Array resoure */
CU_RESOURCE_TYPE_ARRAY = 0x00,
/** Mipmapped array resource */
CU_RESOURCE_TYPE_MIPMAPPED_ARRAY = 0x01,
/** Linear resource */
CU_RESOURCE_TYPE_LINEAR = 0x02,
/** Pitch 2D resource */
CU_RESOURCE_TYPE_PITCH2D = 0x03;
/**
* Error codes
*/
/** enum CUresult */
public static final int
/**
* The API call returned with no errors. In the case of query calls, this
* can also mean that the operation being queried is complete (see
* ::cuEventQuery() and ::cuStreamQuery()).
*/
CUDA_SUCCESS = 0,
/**
* This indicates that one or more of the parameters passed to the API call
* is not within an acceptable range of values.
*/
CUDA_ERROR_INVALID_VALUE = 1,
/**
* The API call failed because it was unable to allocate enough memory to
* perform the requested operation.
*/
CUDA_ERROR_OUT_OF_MEMORY = 2,
/**
* This indicates that the CUDA driver has not been initialized with
* ::cuInit() or that initialization has failed.
*/
CUDA_ERROR_NOT_INITIALIZED = 3,
/**
* This indicates that the CUDA driver is in the process of shutting down.
*/
CUDA_ERROR_DEINITIALIZED = 4,
/**
* This indicates profiler is not initialized for this run. This can
* happen when the application is running with external profiling tools
* like visual profiler.
*/
CUDA_ERROR_PROFILER_DISABLED = 5,
/**
* @deprecated
* This error return is deprecated as of CUDA 5.0. It is no longer an error
* to attempt to enable/disable the profiling via ::cuProfilerStart or
* ::cuProfilerStop without initialization.
*/
CUDA_ERROR_PROFILER_NOT_INITIALIZED = 6,
/**
* @deprecated
* This error return is deprecated as of CUDA 5.0. It is no longer an error
* to call cuProfilerStart() when profiling is already enabled.
*/
CUDA_ERROR_PROFILER_ALREADY_STARTED = 7,
/**
* @deprecated
* This error return is deprecated as of CUDA 5.0. It is no longer an error
* to call cuProfilerStop() when profiling is already disabled.
*/
CUDA_ERROR_PROFILER_ALREADY_STOPPED = 8,
/**
* This indicates that no CUDA-capable devices were detected by the installed
* CUDA driver.
*/
CUDA_ERROR_NO_DEVICE = 100,
/**
* This indicates that the device ordinal supplied by the user does not
* correspond to a valid CUDA device.
*/
CUDA_ERROR_INVALID_DEVICE = 101,
/**
* This indicates that the device kernel image is invalid. This can also
* indicate an invalid CUDA module.
*/
CUDA_ERROR_INVALID_IMAGE = 200,
/**
* This most frequently indicates that there is no context bound to the
* current thread. This can also be returned if the context passed to an
* API call is not a valid handle (such as a context that has had
* ::cuCtxDestroy() invoked on it). This can also be returned if a user
* mixes different API versions (i.e. 3010 context with 3020 API calls).
* See ::cuCtxGetApiVersion() for more details.
*/
CUDA_ERROR_INVALID_CONTEXT = 201,
/**
* This indicated that the context being supplied as a parameter to the
* API call was already the active context.
* @deprecated
* This error return is deprecated as of CUDA 3.2. It is no longer an
* error to attempt to push the active context via ::cuCtxPushCurrent().
*/
CUDA_ERROR_CONTEXT_ALREADY_CURRENT = 202,
/**
* This indicates that a map or register operation has failed.
*/
CUDA_ERROR_MAP_FAILED = 205,
/**
* This indicates that an unmap or unregister operation has failed.
*/
CUDA_ERROR_UNMAP_FAILED = 206,
/**
* This indicates that the specified array is currently mapped and thus
* cannot be destroyed.
*/
CUDA_ERROR_ARRAY_IS_MAPPED = 207,
/**
* This indicates that the resource is already mapped.
*/
CUDA_ERROR_ALREADY_MAPPED = 208,
/**
* This indicates that there is no kernel image available that is suitable
* for the device. This can occur when a user specifies code generation
* options for a particular CUDA source file that do not include the
* corresponding device configuration.
*/
CUDA_ERROR_NO_BINARY_FOR_GPU = 209,
/**
* This indicates that a resource has already been acquired.
*/
CUDA_ERROR_ALREADY_ACQUIRED = 210,
/**
* This indicates that a resource is not mapped.
*/
CUDA_ERROR_NOT_MAPPED = 211,
/**
* This indicates that a mapped resource is not available for access as an
* array.
*/
CUDA_ERROR_NOT_MAPPED_AS_ARRAY = 212,
/**
* This indicates that a mapped resource is not available for access as a
* pointer.
*/
CUDA_ERROR_NOT_MAPPED_AS_POINTER = 213,
/**
* This indicates that an uncorrectable ECC error was detected during
* execution.
*/
CUDA_ERROR_ECC_UNCORRECTABLE = 214,
/**
* This indicates that the ::CUlimit passed to the API call is not
* supported by the active device.
*/
CUDA_ERROR_UNSUPPORTED_LIMIT = 215,
/**
* This indicates that the ::CUcontext passed to the API call can
* only be bound to a single CPU thread at a time but is already
* bound to a CPU thread.
*/
CUDA_ERROR_CONTEXT_ALREADY_IN_USE = 216,
/**
* This indicates that peer access is not supported across the given
* devices.
*/
CUDA_ERROR_PEER_ACCESS_UNSUPPORTED = 217,
/**
* This indicates that a PTX JIT compilation failed.
*/
CUDA_ERROR_INVALID_PTX = 218,
/**
* This indicates an error with OpenGL or DirectX context.
*/
CUDA_ERROR_INVALID_GRAPHICS_CONTEXT = 219,
/**
* This indicates that the device kernel source is invalid.
*/
CUDA_ERROR_INVALID_SOURCE = 300,
/**
* This indicates that the file specified was not found.
*/
CUDA_ERROR_FILE_NOT_FOUND = 301,
/**
* This indicates that a link to a shared object failed to resolve.
*/
CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND = 302,
/**
* This indicates that initialization of a shared object failed.
*/
CUDA_ERROR_SHARED_OBJECT_INIT_FAILED = 303,
/**
* This indicates that an OS call failed.
*/
CUDA_ERROR_OPERATING_SYSTEM = 304,
/**
* This indicates that a resource handle passed to the API call was not
* valid. Resource handles are opaque types like ::CUstream and ::CUevent.
*/
CUDA_ERROR_INVALID_HANDLE = 400,
/**
* This indicates that a named symbol was not found. Examples of symbols
* are global/constant variable names, texture names, and surface names.
*/
CUDA_ERROR_NOT_FOUND = 500,
/**
* This indicates that asynchronous operations issued previously have not
* completed yet. This result is not actually an error, but must be indicated
* differently than ::CUDA_SUCCESS (which indicates completion). Calls that
* may return this value include ::cuEventQuery() and ::cuStreamQuery().
*/
CUDA_ERROR_NOT_READY = 600,
/**
* While executing a kernel, the device encountered a
* load or store instruction on an invalid memory address.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_ILLEGAL_ADDRESS = 700,
/**
* This indicates that a launch did not occur because it did not have
* appropriate resources. This error usually indicates that the user has
* attempted to pass too many arguments to the device kernel, or the
* kernel launch specifies too many threads for the kernel's register
* count. Passing arguments of the wrong size (i.e. a 64-bit pointer
* when a 32-bit int is expected) is equivalent to passing too many
* arguments and can also result in this error.
*/
CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES = 701,
/**
* This indicates that the device kernel took too long to execute. This can
* only occur if timeouts are enabled - see the device attribute
* ::CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT for more information. The
* context cannot be used (and must be destroyed similar to
* ::CUDA_ERROR_LAUNCH_FAILED). All existing device memory allocations from
* this context are invalid and must be reconstructed if the program is to
* continue using CUDA.
*/
CUDA_ERROR_LAUNCH_TIMEOUT = 702,
/**
* This error indicates a kernel launch that uses an incompatible texturing
* mode.
*/
CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING = 703,
/**
* This error indicates that a call to ::cuCtxEnablePeerAccess() is
* trying to re-enable peer access to a context which has already
* had peer access to it enabled.
*/
CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED = 704,
/**
* This error indicates that ::cuCtxDisablePeerAccess() is
* trying to disable peer access which has not been enabled yet
* via ::cuCtxEnablePeerAccess().
*/
CUDA_ERROR_PEER_ACCESS_NOT_ENABLED = 705,
/**
* This error indicates that the primary context for the specified device
* has already been initialized.
*/
CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE = 708,
/**
* This error indicates that the context current to the calling thread
* has been destroyed using ::cuCtxDestroy, or is a primary context which
* has not yet been initialized.
*/
CUDA_ERROR_CONTEXT_IS_DESTROYED = 709,
/**
* A device-side assert triggered during kernel execution. The context
* cannot be used anymore, and must be destroyed. All existing device
* memory allocations from this context are invalid and must be
* reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_ASSERT = 710,
/**
* This error indicates that the hardware resources required to enable
* peer access have been exhausted for one or more of the devices
* passed to ::cuCtxEnablePeerAccess().
*/
CUDA_ERROR_TOO_MANY_PEERS = 711,
/**
* This error indicates that the memory range passed to ::cuMemHostRegister()
* has already been registered.
*/
CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED = 712,
/**
* This error indicates that the pointer passed to ::cuMemHostUnregister()
* does not correspond to any currently registered memory region.
*/
CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED = 713,
/**
* While executing a kernel, the device encountered a stack error.
* This can be due to stack corruption or exceeding the stack size limit.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_HARDWARE_STACK_ERROR = 714,
/**
* While executing a kernel, the device encountered an illegal instruction.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_ILLEGAL_INSTRUCTION = 715,
/**
* While executing a kernel, the device encountered a load or store instruction
* on a memory address which is not aligned.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_MISALIGNED_ADDRESS = 716,
/**
* While executing a kernel, the device encountered an instruction
* which can only operate on memory locations in certain address spaces
* (global, shared, or local), but was supplied a memory address not
* belonging to an allowed address space.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_INVALID_ADDRESS_SPACE = 717,
/**
* While executing a kernel, the device program counter wrapped its address space.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_INVALID_PC = 718,
/**
* An exception occurred on the device while executing a kernel. Common
* causes include dereferencing an invalid device pointer and accessing
* out of bounds shared memory. The context cannot be used, so it must
* be destroyed (and a new one should be created). All existing device
* memory allocations from this context are invalid and must be
* reconstructed if the program is to continue using CUDA.
*/
CUDA_ERROR_LAUNCH_FAILED = 719,
/**
* This error indicates that the attempted operation is not permitted.
*/
CUDA_ERROR_NOT_PERMITTED = 800,
/**
* This error indicates that the attempted operation is not supported
* on the current system or device.
*/
CUDA_ERROR_NOT_SUPPORTED = 801,
/**
* This indicates that an unknown internal error has occurred.
*/
CUDA_ERROR_UNKNOWN = 999;
// #ifdef _WIN32
// #define CUDA_CB __stdcall
// #else
// #define CUDA_CB
// #endif
/**
* CUDA stream callback
* @param hStream The stream the callback was added to, as passed to ::cuStreamAddCallback. May be NULL.
* @param status ::CUDA_SUCCESS or any persistent error on the stream.
* @param userData User parameter provided at registration.
*/
@Convention("CUDA_CB") public static class CUstreamCallback extends FunctionPointer {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUstreamCallback(Pointer p) { super(p); }
protected CUstreamCallback() { allocate(); }
private native void allocate();
public native void call(CUstream_st hStream, @Cast("CUresult") int status, Pointer userData);
}
/**
* Block size to per-block dynamic shared memory mapping for a certain
* kernel @param blockSize Block size of the kernel.
*
* @return The dynamic shared memory needed by a block.
*/
@Convention("CUDA_CB") public static class CUoccupancyB2DSize extends FunctionPointer {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUoccupancyB2DSize(Pointer p) { super(p); }
protected CUoccupancyB2DSize() { allocate(); }
private native void allocate();
public native @Cast("size_t") long call(int blockSize);
}
/**
* If set, host memory is portable between CUDA contexts.
* Flag for ::cuMemHostAlloc()
*/
public static final int CU_MEMHOSTALLOC_PORTABLE = 0x01;
/**
* If set, host memory is mapped into CUDA address space and
* ::cuMemHostGetDevicePointer() may be called on the host pointer.
* Flag for ::cuMemHostAlloc()
*/
public static final int CU_MEMHOSTALLOC_DEVICEMAP = 0x02;
/**
* If set, host memory is allocated as write-combined - fast to write,
* faster to DMA, slow to read except via SSE4 streaming load instruction
* (MOVNTDQA).
* Flag for ::cuMemHostAlloc()
*/
public static final int CU_MEMHOSTALLOC_WRITECOMBINED = 0x04;
/**
* If set, host memory is portable between CUDA contexts.
* Flag for ::cuMemHostRegister()
*/
public static final int CU_MEMHOSTREGISTER_PORTABLE = 0x01;
/**
* If set, host memory is mapped into CUDA address space and
* ::cuMemHostGetDevicePointer() may be called on the host pointer.
* Flag for ::cuMemHostRegister()
*/
public static final int CU_MEMHOSTREGISTER_DEVICEMAP = 0x02;
/**
* If set, the passed memory pointer is treated as pointing to some
* memory-mapped I/O space, e.g. belonging to a third-party PCIe device.
* On Windows the flag is a no-op.
* On Linux that memory is marked as non cache-coherent for the GPU and
* is expected to be physically contiguous. It may return
* CUDA_ERROR_NOT_PERMITTED if run as an unprivileged user,
* CUDA_ERROR_NOT_SUPPORTED on older Linux kernel versions.
* On all other platforms, it is not supported and CUDA_ERROR_NOT_SUPPORTED
* is returned.
* Flag for ::cuMemHostRegister()
*/
public static final int CU_MEMHOSTREGISTER_IOMEMORY = 0x04;
// #if __CUDA_API_VERSION >= 3020
/**
* 2D memory copy parameters
*/
public static class CUDA_MEMCPY2D extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_MEMCPY2D() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_MEMCPY2D(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_MEMCPY2D(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_MEMCPY2D position(long position) {
return (CUDA_MEMCPY2D)super.position(position);
}
/** Source X in bytes */
public native @Cast("size_t") long srcXInBytes(); public native CUDA_MEMCPY2D srcXInBytes(long srcXInBytes);
/** Source Y */
public native @Cast("size_t") long srcY(); public native CUDA_MEMCPY2D srcY(long srcY);
/** Source memory type (host, device, array) */
public native @Cast("CUmemorytype") int srcMemoryType(); public native CUDA_MEMCPY2D srcMemoryType(int srcMemoryType);
/** Source host pointer */
@MemberGetter public native @Const Pointer srcHost();
/** Source device pointer */
public native @Cast("CUdeviceptr") long srcDevice(); public native CUDA_MEMCPY2D srcDevice(long srcDevice);
/** Source array reference */
public native CUarray_st srcArray(); public native CUDA_MEMCPY2D srcArray(CUarray_st srcArray);
/** Source pitch (ignored when src is array) */
public native @Cast("size_t") long srcPitch(); public native CUDA_MEMCPY2D srcPitch(long srcPitch);
/** Destination X in bytes */
public native @Cast("size_t") long dstXInBytes(); public native CUDA_MEMCPY2D dstXInBytes(long dstXInBytes);
/** Destination Y */
public native @Cast("size_t") long dstY(); public native CUDA_MEMCPY2D dstY(long dstY);
/** Destination memory type (host, device, array) */
public native @Cast("CUmemorytype") int dstMemoryType(); public native CUDA_MEMCPY2D dstMemoryType(int dstMemoryType);
/** Destination host pointer */
public native Pointer dstHost(); public native CUDA_MEMCPY2D dstHost(Pointer dstHost);
/** Destination device pointer */
public native @Cast("CUdeviceptr") long dstDevice(); public native CUDA_MEMCPY2D dstDevice(long dstDevice);
/** Destination array reference */
public native CUarray_st dstArray(); public native CUDA_MEMCPY2D dstArray(CUarray_st dstArray);
/** Destination pitch (ignored when dst is array) */
public native @Cast("size_t") long dstPitch(); public native CUDA_MEMCPY2D dstPitch(long dstPitch);
/** Width of 2D memory copy in bytes */
public native @Cast("size_t") long WidthInBytes(); public native CUDA_MEMCPY2D WidthInBytes(long WidthInBytes);
/** Height of 2D memory copy */
public native @Cast("size_t") long Height(); public native CUDA_MEMCPY2D Height(long Height);
}
/**
* 3D memory copy parameters
*/
public static class CUDA_MEMCPY3D extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_MEMCPY3D() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_MEMCPY3D(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_MEMCPY3D(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_MEMCPY3D position(long position) {
return (CUDA_MEMCPY3D)super.position(position);
}
/** Source X in bytes */
public native @Cast("size_t") long srcXInBytes(); public native CUDA_MEMCPY3D srcXInBytes(long srcXInBytes);
/** Source Y */
public native @Cast("size_t") long srcY(); public native CUDA_MEMCPY3D srcY(long srcY);
/** Source Z */
public native @Cast("size_t") long srcZ(); public native CUDA_MEMCPY3D srcZ(long srcZ);
/** Source LOD */
public native @Cast("size_t") long srcLOD(); public native CUDA_MEMCPY3D srcLOD(long srcLOD);
/** Source memory type (host, device, array) */
public native @Cast("CUmemorytype") int srcMemoryType(); public native CUDA_MEMCPY3D srcMemoryType(int srcMemoryType);
/** Source host pointer */
@MemberGetter public native @Const Pointer srcHost();
/** Source device pointer */
public native @Cast("CUdeviceptr") long srcDevice(); public native CUDA_MEMCPY3D srcDevice(long srcDevice);
/** Source array reference */
public native CUarray_st srcArray(); public native CUDA_MEMCPY3D srcArray(CUarray_st srcArray);
/** Must be NULL */
public native Pointer reserved0(); public native CUDA_MEMCPY3D reserved0(Pointer reserved0);
/** Source pitch (ignored when src is array) */
public native @Cast("size_t") long srcPitch(); public native CUDA_MEMCPY3D srcPitch(long srcPitch);
/** Source height (ignored when src is array; may be 0 if Depth==1) */
public native @Cast("size_t") long srcHeight(); public native CUDA_MEMCPY3D srcHeight(long srcHeight);
/** Destination X in bytes */
public native @Cast("size_t") long dstXInBytes(); public native CUDA_MEMCPY3D dstXInBytes(long dstXInBytes);
/** Destination Y */
public native @Cast("size_t") long dstY(); public native CUDA_MEMCPY3D dstY(long dstY);
/** Destination Z */
public native @Cast("size_t") long dstZ(); public native CUDA_MEMCPY3D dstZ(long dstZ);
/** Destination LOD */
public native @Cast("size_t") long dstLOD(); public native CUDA_MEMCPY3D dstLOD(long dstLOD);
/** Destination memory type (host, device, array) */
public native @Cast("CUmemorytype") int dstMemoryType(); public native CUDA_MEMCPY3D dstMemoryType(int dstMemoryType);
/** Destination host pointer */
public native Pointer dstHost(); public native CUDA_MEMCPY3D dstHost(Pointer dstHost);
/** Destination device pointer */
public native @Cast("CUdeviceptr") long dstDevice(); public native CUDA_MEMCPY3D dstDevice(long dstDevice);
/** Destination array reference */
public native CUarray_st dstArray(); public native CUDA_MEMCPY3D dstArray(CUarray_st dstArray);
/** Must be NULL */
public native Pointer reserved1(); public native CUDA_MEMCPY3D reserved1(Pointer reserved1);
/** Destination pitch (ignored when dst is array) */
public native @Cast("size_t") long dstPitch(); public native CUDA_MEMCPY3D dstPitch(long dstPitch);
/** Destination height (ignored when dst is array; may be 0 if Depth==1) */
public native @Cast("size_t") long dstHeight(); public native CUDA_MEMCPY3D dstHeight(long dstHeight);
/** Width of 3D memory copy in bytes */
public native @Cast("size_t") long WidthInBytes(); public native CUDA_MEMCPY3D WidthInBytes(long WidthInBytes);
/** Height of 3D memory copy */
public native @Cast("size_t") long Height(); public native CUDA_MEMCPY3D Height(long Height);
/** Depth of 3D memory copy */
public native @Cast("size_t") long Depth(); public native CUDA_MEMCPY3D Depth(long Depth);
}
/**
* 3D memory cross-context copy parameters
*/
public static class CUDA_MEMCPY3D_PEER extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_MEMCPY3D_PEER() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_MEMCPY3D_PEER(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_MEMCPY3D_PEER(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_MEMCPY3D_PEER position(long position) {
return (CUDA_MEMCPY3D_PEER)super.position(position);
}
/** Source X in bytes */
public native @Cast("size_t") long srcXInBytes(); public native CUDA_MEMCPY3D_PEER srcXInBytes(long srcXInBytes);
/** Source Y */
public native @Cast("size_t") long srcY(); public native CUDA_MEMCPY3D_PEER srcY(long srcY);
/** Source Z */
public native @Cast("size_t") long srcZ(); public native CUDA_MEMCPY3D_PEER srcZ(long srcZ);
/** Source LOD */
public native @Cast("size_t") long srcLOD(); public native CUDA_MEMCPY3D_PEER srcLOD(long srcLOD);
/** Source memory type (host, device, array) */
public native @Cast("CUmemorytype") int srcMemoryType(); public native CUDA_MEMCPY3D_PEER srcMemoryType(int srcMemoryType);
/** Source host pointer */
@MemberGetter public native @Const Pointer srcHost();
/** Source device pointer */
public native @Cast("CUdeviceptr") long srcDevice(); public native CUDA_MEMCPY3D_PEER srcDevice(long srcDevice);
/** Source array reference */
public native CUarray_st srcArray(); public native CUDA_MEMCPY3D_PEER srcArray(CUarray_st srcArray);
/** Source context (ignored with srcMemoryType is ::CU_MEMORYTYPE_ARRAY) */
public native CUctx_st srcContext(); public native CUDA_MEMCPY3D_PEER srcContext(CUctx_st srcContext);
/** Source pitch (ignored when src is array) */
public native @Cast("size_t") long srcPitch(); public native CUDA_MEMCPY3D_PEER srcPitch(long srcPitch);
/** Source height (ignored when src is array; may be 0 if Depth==1) */
public native @Cast("size_t") long srcHeight(); public native CUDA_MEMCPY3D_PEER srcHeight(long srcHeight);
/** Destination X in bytes */
public native @Cast("size_t") long dstXInBytes(); public native CUDA_MEMCPY3D_PEER dstXInBytes(long dstXInBytes);
/** Destination Y */
public native @Cast("size_t") long dstY(); public native CUDA_MEMCPY3D_PEER dstY(long dstY);
/** Destination Z */
public native @Cast("size_t") long dstZ(); public native CUDA_MEMCPY3D_PEER dstZ(long dstZ);
/** Destination LOD */
public native @Cast("size_t") long dstLOD(); public native CUDA_MEMCPY3D_PEER dstLOD(long dstLOD);
/** Destination memory type (host, device, array) */
public native @Cast("CUmemorytype") int dstMemoryType(); public native CUDA_MEMCPY3D_PEER dstMemoryType(int dstMemoryType);
/** Destination host pointer */
public native Pointer dstHost(); public native CUDA_MEMCPY3D_PEER dstHost(Pointer dstHost);
/** Destination device pointer */
public native @Cast("CUdeviceptr") long dstDevice(); public native CUDA_MEMCPY3D_PEER dstDevice(long dstDevice);
/** Destination array reference */
public native CUarray_st dstArray(); public native CUDA_MEMCPY3D_PEER dstArray(CUarray_st dstArray);
/** Destination context (ignored with dstMemoryType is ::CU_MEMORYTYPE_ARRAY) */
public native CUctx_st dstContext(); public native CUDA_MEMCPY3D_PEER dstContext(CUctx_st dstContext);
/** Destination pitch (ignored when dst is array) */
public native @Cast("size_t") long dstPitch(); public native CUDA_MEMCPY3D_PEER dstPitch(long dstPitch);
/** Destination height (ignored when dst is array; may be 0 if Depth==1) */
public native @Cast("size_t") long dstHeight(); public native CUDA_MEMCPY3D_PEER dstHeight(long dstHeight);
/** Width of 3D memory copy in bytes */
public native @Cast("size_t") long WidthInBytes(); public native CUDA_MEMCPY3D_PEER WidthInBytes(long WidthInBytes);
/** Height of 3D memory copy */
public native @Cast("size_t") long Height(); public native CUDA_MEMCPY3D_PEER Height(long Height);
/** Depth of 3D memory copy */
public native @Cast("size_t") long Depth(); public native CUDA_MEMCPY3D_PEER Depth(long Depth);
}
/**
* Array descriptor
*/
public static class CUDA_ARRAY_DESCRIPTOR extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_ARRAY_DESCRIPTOR() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_ARRAY_DESCRIPTOR(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_ARRAY_DESCRIPTOR(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_ARRAY_DESCRIPTOR position(long position) {
return (CUDA_ARRAY_DESCRIPTOR)super.position(position);
}
/** Width of array */
public native @Cast("size_t") long Width(); public native CUDA_ARRAY_DESCRIPTOR Width(long Width);
/** Height of array */
public native @Cast("size_t") long Height(); public native CUDA_ARRAY_DESCRIPTOR Height(long Height);
/** Array format */
public native @Cast("CUarray_format") int Format(); public native CUDA_ARRAY_DESCRIPTOR Format(int Format);
/** Channels per array element */
public native @Cast("unsigned int") int NumChannels(); public native CUDA_ARRAY_DESCRIPTOR NumChannels(int NumChannels);
}
/**
* 3D array descriptor
*/
public static class CUDA_ARRAY3D_DESCRIPTOR extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_ARRAY3D_DESCRIPTOR() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_ARRAY3D_DESCRIPTOR(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_ARRAY3D_DESCRIPTOR(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_ARRAY3D_DESCRIPTOR position(long position) {
return (CUDA_ARRAY3D_DESCRIPTOR)super.position(position);
}
/** Width of 3D array */
public native @Cast("size_t") long Width(); public native CUDA_ARRAY3D_DESCRIPTOR Width(long Width);
/** Height of 3D array */
public native @Cast("size_t") long Height(); public native CUDA_ARRAY3D_DESCRIPTOR Height(long Height);
/** Depth of 3D array */
public native @Cast("size_t") long Depth(); public native CUDA_ARRAY3D_DESCRIPTOR Depth(long Depth);
/** Array format */
public native @Cast("CUarray_format") int Format(); public native CUDA_ARRAY3D_DESCRIPTOR Format(int Format);
/** Channels per array element */
public native @Cast("unsigned int") int NumChannels(); public native CUDA_ARRAY3D_DESCRIPTOR NumChannels(int NumChannels);
/** Flags */
public native @Cast("unsigned int") int Flags(); public native CUDA_ARRAY3D_DESCRIPTOR Flags(int Flags);
}
// #endif /* __CUDA_API_VERSION >= 3020 */
// #if __CUDA_API_VERSION >= 5000
/**
* CUDA Resource descriptor
*/
public static class CUDA_RESOURCE_DESC extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_RESOURCE_DESC() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_RESOURCE_DESC(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_RESOURCE_DESC(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_RESOURCE_DESC position(long position) {
return (CUDA_RESOURCE_DESC)super.position(position);
}
/** Resource type */
public native @Cast("CUresourcetype") int resType(); public native CUDA_RESOURCE_DESC resType(int resType);
/** CUDA array */
@Name("res.array.hArray") public native CUarray_st res_array_hArray(); public native CUDA_RESOURCE_DESC res_array_hArray(CUarray_st res_array_hArray);
/** CUDA mipmapped array */
@Name("res.mipmap.hMipmappedArray") public native CUmipmappedArray_st res_mipmap_hMipmappedArray(); public native CUDA_RESOURCE_DESC res_mipmap_hMipmappedArray(CUmipmappedArray_st res_mipmap_hMipmappedArray);
/** Device pointer */
@Name("res.linear.devPtr") public native @Cast("CUdeviceptr") long res_linear_devPtr(); public native CUDA_RESOURCE_DESC res_linear_devPtr(long res_linear_devPtr);
/** Array format */
@Name("res.linear.format") public native @Cast("CUarray_format") int res_linear_format(); public native CUDA_RESOURCE_DESC res_linear_format(int res_linear_format);
/** Channels per array element */
@Name("res.linear.numChannels") public native @Cast("unsigned int") int res_linear_numChannels(); public native CUDA_RESOURCE_DESC res_linear_numChannels(int res_linear_numChannels);
/** Size in bytes */
@Name("res.linear.sizeInBytes") public native @Cast("size_t") long res_linear_sizeInBytes(); public native CUDA_RESOURCE_DESC res_linear_sizeInBytes(long res_linear_sizeInBytes);
/** Device pointer */
@Name("res.pitch2D.devPtr") public native @Cast("CUdeviceptr") long res_pitch2D_devPtr(); public native CUDA_RESOURCE_DESC res_pitch2D_devPtr(long res_pitch2D_devPtr);
/** Array format */
@Name("res.pitch2D.format") public native @Cast("CUarray_format") int res_pitch2D_format(); public native CUDA_RESOURCE_DESC res_pitch2D_format(int res_pitch2D_format);
/** Channels per array element */
@Name("res.pitch2D.numChannels") public native @Cast("unsigned int") int res_pitch2D_numChannels(); public native CUDA_RESOURCE_DESC res_pitch2D_numChannels(int res_pitch2D_numChannels);
/** Width of the array in elements */
@Name("res.pitch2D.width") public native @Cast("size_t") long res_pitch2D_width(); public native CUDA_RESOURCE_DESC res_pitch2D_width(long res_pitch2D_width);
/** Height of the array in elements */
@Name("res.pitch2D.height") public native @Cast("size_t") long res_pitch2D_height(); public native CUDA_RESOURCE_DESC res_pitch2D_height(long res_pitch2D_height);
/** Pitch between two rows in bytes */
@Name("res.pitch2D.pitchInBytes") public native @Cast("size_t") long res_pitch2D_pitchInBytes(); public native CUDA_RESOURCE_DESC res_pitch2D_pitchInBytes(long res_pitch2D_pitchInBytes);
@Name("res.reserved.reserved") public native int res_reserved_reserved(int i); public native CUDA_RESOURCE_DESC res_reserved_reserved(int i, int res_reserved_reserved);
@Name("res.reserved.reserved") @MemberGetter public native IntPointer res_reserved_reserved();
/** Flags (must be zero) */
public native @Cast("unsigned int") int flags(); public native CUDA_RESOURCE_DESC flags(int flags);
}
/**
* Texture descriptor
*/
public static class CUDA_TEXTURE_DESC extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_TEXTURE_DESC() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_TEXTURE_DESC(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_TEXTURE_DESC(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_TEXTURE_DESC position(long position) {
return (CUDA_TEXTURE_DESC)super.position(position);
}
/** Address modes */
public native @Cast("CUaddress_mode") int addressMode(int i); public native CUDA_TEXTURE_DESC addressMode(int i, int addressMode);
@MemberGetter public native @Cast("CUaddress_mode*") IntPointer addressMode();
/** Filter mode */
public native @Cast("CUfilter_mode") int filterMode(); public native CUDA_TEXTURE_DESC filterMode(int filterMode);
/** Flags */
public native @Cast("unsigned int") int flags(); public native CUDA_TEXTURE_DESC flags(int flags);
/** Maximum anisotropy ratio */
public native @Cast("unsigned int") int maxAnisotropy(); public native CUDA_TEXTURE_DESC maxAnisotropy(int maxAnisotropy);
/** Mipmap filter mode */
public native @Cast("CUfilter_mode") int mipmapFilterMode(); public native CUDA_TEXTURE_DESC mipmapFilterMode(int mipmapFilterMode);
/** Mipmap level bias */
public native float mipmapLevelBias(); public native CUDA_TEXTURE_DESC mipmapLevelBias(float mipmapLevelBias);
/** Mipmap minimum level clamp */
public native float minMipmapLevelClamp(); public native CUDA_TEXTURE_DESC minMipmapLevelClamp(float minMipmapLevelClamp);
/** Mipmap maximum level clamp */
public native float maxMipmapLevelClamp(); public native CUDA_TEXTURE_DESC maxMipmapLevelClamp(float maxMipmapLevelClamp);
public native int reserved(int i); public native CUDA_TEXTURE_DESC reserved(int i, int reserved);
@MemberGetter public native IntPointer reserved();
}
/**
* Resource view format
*/
/** enum CUresourceViewFormat */
public static final int
/** No resource view format (use underlying resource format) */
CU_RES_VIEW_FORMAT_NONE = 0x00,
/** 1 channel unsigned 8-bit integers */
CU_RES_VIEW_FORMAT_UINT_1X8 = 0x01,
/** 2 channel unsigned 8-bit integers */
CU_RES_VIEW_FORMAT_UINT_2X8 = 0x02,
/** 4 channel unsigned 8-bit integers */
CU_RES_VIEW_FORMAT_UINT_4X8 = 0x03,
/** 1 channel signed 8-bit integers */
CU_RES_VIEW_FORMAT_SINT_1X8 = 0x04,
/** 2 channel signed 8-bit integers */
CU_RES_VIEW_FORMAT_SINT_2X8 = 0x05,
/** 4 channel signed 8-bit integers */
CU_RES_VIEW_FORMAT_SINT_4X8 = 0x06,
/** 1 channel unsigned 16-bit integers */
CU_RES_VIEW_FORMAT_UINT_1X16 = 0x07,
/** 2 channel unsigned 16-bit integers */
CU_RES_VIEW_FORMAT_UINT_2X16 = 0x08,
/** 4 channel unsigned 16-bit integers */
CU_RES_VIEW_FORMAT_UINT_4X16 = 0x09,
/** 1 channel signed 16-bit integers */
CU_RES_VIEW_FORMAT_SINT_1X16 = 0x0a,
/** 2 channel signed 16-bit integers */
CU_RES_VIEW_FORMAT_SINT_2X16 = 0x0b,
/** 4 channel signed 16-bit integers */
CU_RES_VIEW_FORMAT_SINT_4X16 = 0x0c,
/** 1 channel unsigned 32-bit integers */
CU_RES_VIEW_FORMAT_UINT_1X32 = 0x0d,
/** 2 channel unsigned 32-bit integers */
CU_RES_VIEW_FORMAT_UINT_2X32 = 0x0e,
/** 4 channel unsigned 32-bit integers */
CU_RES_VIEW_FORMAT_UINT_4X32 = 0x0f,
/** 1 channel signed 32-bit integers */
CU_RES_VIEW_FORMAT_SINT_1X32 = 0x10,
/** 2 channel signed 32-bit integers */
CU_RES_VIEW_FORMAT_SINT_2X32 = 0x11,
/** 4 channel signed 32-bit integers */
CU_RES_VIEW_FORMAT_SINT_4X32 = 0x12,
/** 1 channel 16-bit floating point */
CU_RES_VIEW_FORMAT_FLOAT_1X16 = 0x13,
/** 2 channel 16-bit floating point */
CU_RES_VIEW_FORMAT_FLOAT_2X16 = 0x14,
/** 4 channel 16-bit floating point */
CU_RES_VIEW_FORMAT_FLOAT_4X16 = 0x15,
/** 1 channel 32-bit floating point */
CU_RES_VIEW_FORMAT_FLOAT_1X32 = 0x16,
/** 2 channel 32-bit floating point */
CU_RES_VIEW_FORMAT_FLOAT_2X32 = 0x17,
/** 4 channel 32-bit floating point */
CU_RES_VIEW_FORMAT_FLOAT_4X32 = 0x18,
/** Block compressed 1 */
CU_RES_VIEW_FORMAT_UNSIGNED_BC1 = 0x19,
/** Block compressed 2 */
CU_RES_VIEW_FORMAT_UNSIGNED_BC2 = 0x1a,
/** Block compressed 3 */
CU_RES_VIEW_FORMAT_UNSIGNED_BC3 = 0x1b,
/** Block compressed 4 unsigned */
CU_RES_VIEW_FORMAT_UNSIGNED_BC4 = 0x1c,
/** Block compressed 4 signed */
CU_RES_VIEW_FORMAT_SIGNED_BC4 = 0x1d,
/** Block compressed 5 unsigned */
CU_RES_VIEW_FORMAT_UNSIGNED_BC5 = 0x1e,
/** Block compressed 5 signed */
CU_RES_VIEW_FORMAT_SIGNED_BC5 = 0x1f,
/** Block compressed 6 unsigned half-float */
CU_RES_VIEW_FORMAT_UNSIGNED_BC6H = 0x20,
/** Block compressed 6 signed half-float */
CU_RES_VIEW_FORMAT_SIGNED_BC6H = 0x21,
/** Block compressed 7 */
CU_RES_VIEW_FORMAT_UNSIGNED_BC7 = 0x22;
/**
* Resource view descriptor
*/
public static class CUDA_RESOURCE_VIEW_DESC extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_RESOURCE_VIEW_DESC() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_RESOURCE_VIEW_DESC(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_RESOURCE_VIEW_DESC(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_RESOURCE_VIEW_DESC position(long position) {
return (CUDA_RESOURCE_VIEW_DESC)super.position(position);
}
/** Resource view format */
public native @Cast("CUresourceViewFormat") int format(); public native CUDA_RESOURCE_VIEW_DESC format(int format);
/** Width of the resource view */
public native @Cast("size_t") long width(); public native CUDA_RESOURCE_VIEW_DESC width(long width);
/** Height of the resource view */
public native @Cast("size_t") long height(); public native CUDA_RESOURCE_VIEW_DESC height(long height);
/** Depth of the resource view */
public native @Cast("size_t") long depth(); public native CUDA_RESOURCE_VIEW_DESC depth(long depth);
/** First defined mipmap level */
public native @Cast("unsigned int") int firstMipmapLevel(); public native CUDA_RESOURCE_VIEW_DESC firstMipmapLevel(int firstMipmapLevel);
/** Last defined mipmap level */
public native @Cast("unsigned int") int lastMipmapLevel(); public native CUDA_RESOURCE_VIEW_DESC lastMipmapLevel(int lastMipmapLevel);
/** First layer index */
public native @Cast("unsigned int") int firstLayer(); public native CUDA_RESOURCE_VIEW_DESC firstLayer(int firstLayer);
/** Last layer index */
public native @Cast("unsigned int") int lastLayer(); public native CUDA_RESOURCE_VIEW_DESC lastLayer(int lastLayer);
public native @Cast("unsigned int") int reserved(int i); public native CUDA_RESOURCE_VIEW_DESC reserved(int i, int reserved);
@MemberGetter public native @Cast("unsigned int*") IntPointer reserved();
}
/**
* GPU Direct v3 tokens
*/
public static class CUDA_POINTER_ATTRIBUTE_P2P_TOKENS extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public CUDA_POINTER_ATTRIBUTE_P2P_TOKENS() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public CUDA_POINTER_ATTRIBUTE_P2P_TOKENS(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public CUDA_POINTER_ATTRIBUTE_P2P_TOKENS(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public CUDA_POINTER_ATTRIBUTE_P2P_TOKENS position(long position) {
return (CUDA_POINTER_ATTRIBUTE_P2P_TOKENS)super.position(position);
}
public native @Cast("unsigned long long") long p2pToken(); public native CUDA_POINTER_ATTRIBUTE_P2P_TOKENS p2pToken(long p2pToken);
public native @Cast("unsigned int") int vaSpaceToken(); public native CUDA_POINTER_ATTRIBUTE_P2P_TOKENS vaSpaceToken(int vaSpaceToken);
}
// #endif /* __CUDA_API_VERSION >= 5000 */
/**
* If set, the CUDA array is a collection of layers, where each layer is either a 1D
* or a 2D array and the Depth member of CUDA_ARRAY3D_DESCRIPTOR specifies the number
* of layers, not the depth of a 3D array.
*/
public static final int CUDA_ARRAY3D_LAYERED = 0x01;
/**
* Deprecated, use CUDA_ARRAY3D_LAYERED
*/
public static final int CUDA_ARRAY3D_2DARRAY = 0x01;
/**
* This flag must be set in order to bind a surface reference
* to the CUDA array
*/
public static final int CUDA_ARRAY3D_SURFACE_LDST = 0x02;
/**
* If set, the CUDA array is a collection of six 2D arrays, representing faces of a cube. The
* width of such a CUDA array must be equal to its height, and Depth must be six.
* If ::CUDA_ARRAY3D_LAYERED flag is also set, then the CUDA array is a collection of cubemaps
* and Depth must be a multiple of six.
*/
public static final int CUDA_ARRAY3D_CUBEMAP = 0x04;
/**
* This flag must be set in order to perform texture gather operations
* on a CUDA array.
*/
public static final int CUDA_ARRAY3D_TEXTURE_GATHER = 0x08;
/**
* This flag if set indicates that the CUDA
* array is a DEPTH_TEXTURE.
*/
public static final int CUDA_ARRAY3D_DEPTH_TEXTURE = 0x10;
/**
* Override the texref format with a format inferred from the array.
* Flag for ::cuTexRefSetArray()
*/
public static final int CU_TRSA_OVERRIDE_FORMAT = 0x01;
/**
* Read the texture as integers rather than promoting the values to floats
* in the range [0,1].
* Flag for ::cuTexRefSetFlags()
*/
public static final int CU_TRSF_READ_AS_INTEGER = 0x01;
/**
* Use normalized texture coordinates in the range [0,1) instead of [0,dim).
* Flag for ::cuTexRefSetFlags()
*/
public static final int CU_TRSF_NORMALIZED_COORDINATES = 0x02;
/**
* Perform sRGB->linear conversion during texture read.
* Flag for ::cuTexRefSetFlags()
*/
public static final int CU_TRSF_SRGB = 0x10;
/**
* End of array terminator for the \p extra parameter to
* ::cuLaunchKernel
*/
public static native @MemberGetter Pointer CU_LAUNCH_PARAM_END();
public static final Pointer CU_LAUNCH_PARAM_END = CU_LAUNCH_PARAM_END();
/**
* Indicator that the next value in the \p extra parameter to
* ::cuLaunchKernel will be a pointer to a buffer containing all kernel
* parameters used for launching kernel \p f. This buffer needs to
* honor all alignment/padding requirements of the individual parameters.
* If ::CU_LAUNCH_PARAM_BUFFER_SIZE is not also specified in the
* \p extra array, then ::CU_LAUNCH_PARAM_BUFFER_POINTER will have no
* effect.
*/
public static native @MemberGetter Pointer CU_LAUNCH_PARAM_BUFFER_POINTER();
public static final Pointer CU_LAUNCH_PARAM_BUFFER_POINTER = CU_LAUNCH_PARAM_BUFFER_POINTER();
/**
* Indicator that the next value in the \p extra parameter to
* ::cuLaunchKernel will be a pointer to a size_t which contains the
* size of the buffer specified with ::CU_LAUNCH_PARAM_BUFFER_POINTER.
* It is required that ::CU_LAUNCH_PARAM_BUFFER_POINTER also be specified
* in the \p extra array if the value associated with
* ::CU_LAUNCH_PARAM_BUFFER_SIZE is not zero.
*/
public static native @MemberGetter Pointer CU_LAUNCH_PARAM_BUFFER_SIZE();
public static final Pointer CU_LAUNCH_PARAM_BUFFER_SIZE = CU_LAUNCH_PARAM_BUFFER_SIZE();
/**
* For texture references loaded into the module, use default texunit from
* texture reference.
*/
public static final int CU_PARAM_TR_DEFAULT = -1;
/** \} */ /* END CUDA_TYPES */
// #ifdef _WIN32
// #define CUDAAPI __stdcall
// #else
// #define CUDAAPI
// #endif
/**
* \defgroup CUDA_ERROR Error Handling
*
* ___MANBRIEF___ error handling functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the error handling functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Gets the string description of an error code
*
* Sets \p *pStr to the address of a NULL-terminated string description
* of the error code \p error.
* If the error code is not recognized, ::CUDA_ERROR_INVALID_VALUE
* will be returned and \p *pStr will be set to the NULL address.
*
* @param error - Error code to convert to string
* @param pStr - Address of the string pointer.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::CUresult
*/
public static native @Cast("CUresult") int cuGetErrorString(@Cast("CUresult") int error, @Cast("const char**") PointerPointer pStr);
public static native @Cast("CUresult") int cuGetErrorString(@Cast("CUresult") int error, @Cast("const char**") @ByPtrPtr BytePointer pStr);
public static native @Cast("CUresult") int cuGetErrorString(@Cast("CUresult") int error, @Cast("const char**") @ByPtrPtr ByteBuffer pStr);
public static native @Cast("CUresult") int cuGetErrorString(@Cast("CUresult") int error, @Cast("const char**") @ByPtrPtr byte[] pStr);
/**
* \brief Gets the string representation of an error code enum name
*
* Sets \p *pStr to the address of a NULL-terminated string representation
* of the name of the enum error code \p error.
* If the error code is not recognized, ::CUDA_ERROR_INVALID_VALUE
* will be returned and \p *pStr will be set to the NULL address.
*
* @param error - Error code to convert to string
* @param pStr - Address of the string pointer.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::CUresult
*/
public static native @Cast("CUresult") int cuGetErrorName(@Cast("CUresult") int error, @Cast("const char**") PointerPointer pStr);
public static native @Cast("CUresult") int cuGetErrorName(@Cast("CUresult") int error, @Cast("const char**") @ByPtrPtr BytePointer pStr);
public static native @Cast("CUresult") int cuGetErrorName(@Cast("CUresult") int error, @Cast("const char**") @ByPtrPtr ByteBuffer pStr);
public static native @Cast("CUresult") int cuGetErrorName(@Cast("CUresult") int error, @Cast("const char**") @ByPtrPtr byte[] pStr);
/** \} */ /* END CUDA_ERROR */
/**
* \defgroup CUDA_INITIALIZE Initialization
*
* ___MANBRIEF___ initialization functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the initialization functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Initialize the CUDA driver API
*
* Initializes the driver API and must be called before any other function from
* the driver API. Currently, the \p Flags parameter must be 0. If ::cuInit()
* has not been called, any function from the driver API will return
* ::CUDA_ERROR_NOT_INITIALIZED.
*
* @param Flags - Initialization flag for CUDA.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*/
public static native @Cast("CUresult") int cuInit(@Cast("unsigned int") int Flags);
/** \} */ /* END CUDA_INITIALIZE */
/**
* \defgroup CUDA_VERSION Version Management
*
* ___MANBRIEF___ version management functions of the low-level CUDA driver
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the version management functions of the low-level
* CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Returns the CUDA driver version
*
* Returns in \p *driverVersion the version number of the installed CUDA
* driver. This function automatically returns ::CUDA_ERROR_INVALID_VALUE if
* the \p driverVersion argument is NULL.
*
* @param driverVersion - Returns the CUDA driver version
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*/
public static native @Cast("CUresult") int cuDriverGetVersion(IntPointer driverVersion);
public static native @Cast("CUresult") int cuDriverGetVersion(IntBuffer driverVersion);
public static native @Cast("CUresult") int cuDriverGetVersion(int[] driverVersion);
/** \} */ /* END CUDA_VERSION */
/**
* \defgroup CUDA_DEVICE Device Management
*
* ___MANBRIEF___ device management functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the device management functions of the low-level
* CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Returns a handle to a compute device
*
* Returns in \p *device a device handle given an ordinal in the range [0,
* ::cuDeviceGetCount()-1].
*
* @param device - Returned device handle
* @param ordinal - Device number to get handle for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa
* ::cuDeviceGetAttribute,
* ::cuDeviceGetCount,
* ::cuDeviceGetName,
* ::cuDeviceTotalMem
*/
public static native @Cast("CUresult") int cuDeviceGet(@Cast("CUdevice*") IntPointer device, int ordinal);
public static native @Cast("CUresult") int cuDeviceGet(@Cast("CUdevice*") IntBuffer device, int ordinal);
public static native @Cast("CUresult") int cuDeviceGet(@Cast("CUdevice*") int[] device, int ordinal);
/**
* \brief Returns the number of compute-capable devices
*
* Returns in \p *count the number of devices with compute capability greater
* than or equal to 1.0 that are available for execution. If there is no such
* device, ::cuDeviceGetCount() returns 0.
*
* @param count - Returned number of compute-capable devices
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa
* ::cuDeviceGetAttribute,
* ::cuDeviceGetName,
* ::cuDeviceGet,
* ::cuDeviceTotalMem
*/
public static native @Cast("CUresult") int cuDeviceGetCount(IntPointer count);
public static native @Cast("CUresult") int cuDeviceGetCount(IntBuffer count);
public static native @Cast("CUresult") int cuDeviceGetCount(int[] count);
/**
* \brief Returns an identifer string for the device
*
* Returns an ASCII string identifying the device \p dev in the NULL-terminated
* string pointed to by \p name. \p len specifies the maximum length of the
* string that may be returned.
*
* @param name - Returned identifier string for the device
* @param len - Maximum length of string to store in \p name
* @param dev - Device to get identifier string for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa
* ::cuDeviceGetAttribute,
* ::cuDeviceGetCount,
* ::cuDeviceGet,
* ::cuDeviceTotalMem
*/
public static native @Cast("CUresult") int cuDeviceGetName(@Cast("char*") BytePointer name, int len, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceGetName(@Cast("char*") ByteBuffer name, int len, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceGetName(@Cast("char*") byte[] name, int len, @Cast("CUdevice") int dev);
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Returns the total amount of memory on the device
*
* Returns in \p *bytes the total amount of memory available on the device
* \p dev in bytes.
*
* @param bytes - Returned memory available on device in bytes
* @param dev - Device handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa
* ::cuDeviceGetAttribute,
* ::cuDeviceGetCount,
* ::cuDeviceGetName,
* ::cuDeviceGet,
*/
public static native @Cast("CUresult") int cuDeviceTotalMem(@Cast("size_t*") SizeTPointer bytes, @Cast("CUdevice") int dev);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Returns information about the device
*
* Returns in \p *pi the integer value of the attribute \p attrib on device
* \p dev. The supported attributes are:
* - ::CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_BLOCK: Maximum number of threads per
* block;
* - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_X: Maximum x-dimension of a block;
* - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Y: Maximum y-dimension of a block;
* - ::CU_DEVICE_ATTRIBUTE_MAX_BLOCK_DIM_Z: Maximum z-dimension of a block;
* - ::CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_X: Maximum x-dimension of a grid;
* - ::CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Y: Maximum y-dimension of a grid;
* - ::CU_DEVICE_ATTRIBUTE_MAX_GRID_DIM_Z: Maximum z-dimension of a grid;
* - ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_BLOCK: Maximum amount of
* shared memory available to a thread block in bytes;
* - ::CU_DEVICE_ATTRIBUTE_TOTAL_CONSTANT_MEMORY: Memory available on device for
* __constant__ variables in a CUDA C kernel in bytes;
* - ::CU_DEVICE_ATTRIBUTE_WARP_SIZE: Warp size in threads;
* - ::CU_DEVICE_ATTRIBUTE_MAX_PITCH: Maximum pitch in bytes allowed by the
* memory copy functions that involve memory regions allocated through
* ::cuMemAllocPitch();
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH: Maximum 1D
* texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH: Maximum width
* for a 1D texture bound to linear memory;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH: Maximum
* mipmapped 1D texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_WIDTH: Maximum 2D
* texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_HEIGHT: Maximum 2D
* texture height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH: Maximum width
* for a 2D texture bound to linear memory;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT: Maximum height
* for a 2D texture bound to linear memory;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH: Maximum pitch
* in bytes for a 2D texture bound to linear memory;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_WIDTH: Maximum
* mipmapped 2D texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_MIPMAPPED_HEIGHT: Maximum
* mipmapped 2D texture height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH: Maximum 3D
* texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT: Maximum 3D
* texture height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH: Maximum 3D
* texture depth;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_WIDTH_ALTERNATE:
* Alternate maximum 3D texture width, 0 if no alternate
* maximum 3D texture size is supported;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_HEIGHT_ALTERNATE:
* Alternate maximum 3D texture height, 0 if no alternate
* maximum 3D texture size is supported;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE3D_DEPTH_ALTERNATE:
* Alternate maximum 3D texture depth, 0 if no alternate
* maximum 3D texture size is supported;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_WIDTH:
* Maximum cubemap texture width or height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_WIDTH:
* Maximum 1D layered texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LAYERED_LAYERS:
* Maximum layers in a 1D layered texture;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_WIDTH:
* Maximum 2D layered texture width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_HEIGHT:
* Maximum 2D layered texture height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LAYERED_LAYERS:
* Maximum layers in a 2D layered texture;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_WIDTH:
* Maximum cubemap layered texture width or height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURECUBEMAP_LAYERED_LAYERS:
* Maximum layers in a cubemap layered texture;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_WIDTH:
* Maximum 1D surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_WIDTH:
* Maximum 2D surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_HEIGHT:
* Maximum 2D surface height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_WIDTH:
* Maximum 3D surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_HEIGHT:
* Maximum 3D surface height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE3D_DEPTH:
* Maximum 3D surface depth;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_WIDTH:
* Maximum 1D layered surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE1D_LAYERED_LAYERS:
* Maximum layers in a 1D layered surface;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_WIDTH:
* Maximum 2D layered surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_HEIGHT:
* Maximum 2D layered surface height;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACE2D_LAYERED_LAYERS:
* Maximum layers in a 2D layered surface;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_WIDTH:
* Maximum cubemap surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_WIDTH:
* Maximum cubemap layered surface width;
* - ::CU_DEVICE_ATTRIBUTE_MAXIMUM_SURFACECUBEMAP_LAYERED_LAYERS:
* Maximum layers in a cubemap layered surface;
* - ::CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_BLOCK: Maximum number of 32-bit
* registers available to a thread block;
* - ::CU_DEVICE_ATTRIBUTE_CLOCK_RATE: The typical clock frequency in kilohertz;
* - ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT: Alignment requirement; texture
* base addresses aligned to ::textureAlign bytes do not need an offset
* applied to texture fetches;
* - ::CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT: Pitch alignment requirement
* for 2D texture references bound to pitched memory;
* - ::CU_DEVICE_ATTRIBUTE_GPU_OVERLAP: 1 if the device can concurrently copy
* memory between host and device while executing a kernel, or 0 if not;
* - ::CU_DEVICE_ATTRIBUTE_MULTIPROCESSOR_COUNT: Number of multiprocessors on
* the device;
* - ::CU_DEVICE_ATTRIBUTE_KERNEL_EXEC_TIMEOUT: 1 if there is a run time limit
* for kernels executed on the device, or 0 if not;
* - ::CU_DEVICE_ATTRIBUTE_INTEGRATED: 1 if the device is integrated with the
* memory subsystem, or 0 if not;
* - ::CU_DEVICE_ATTRIBUTE_CAN_MAP_HOST_MEMORY: 1 if the device can map host
* memory into the CUDA address space, or 0 if not;
* - ::CU_DEVICE_ATTRIBUTE_COMPUTE_MODE: Compute mode that device is currently
* in. Available modes are as follows:
* - ::CU_COMPUTEMODE_DEFAULT: Default mode - Device is not restricted and
* can have multiple CUDA contexts present at a single time.
* - ::CU_COMPUTEMODE_EXCLUSIVE: Compute-exclusive mode - Device can have
* only one CUDA context present on it at a time.
* - ::CU_COMPUTEMODE_PROHIBITED: Compute-prohibited mode - Device is
* prohibited from creating new CUDA contexts.
* - ::CU_COMPUTEMODE_EXCLUSIVE_PROCESS: Compute-exclusive-process mode - Device
* can have only one context used by a single process at a time.
* - ::CU_DEVICE_ATTRIBUTE_CONCURRENT_KERNELS: 1 if the device supports
* executing multiple kernels within the same context simultaneously, or 0 if
* not. It is not guaranteed that multiple kernels will be resident
* on the device concurrently so this feature should not be relied upon for
* correctness;
* - ::CU_DEVICE_ATTRIBUTE_ECC_ENABLED: 1 if error correction is enabled on the
* device, 0 if error correction is disabled or not supported by the device;
* - ::CU_DEVICE_ATTRIBUTE_PCI_BUS_ID: PCI bus identifier of the device;
* - ::CU_DEVICE_ATTRIBUTE_PCI_DEVICE_ID: PCI device (also known as slot) identifier
* of the device;
* - ::CU_DEVICE_ATTRIBUTE_TCC_DRIVER: 1 if the device is using a TCC driver. TCC
* is only available on Tesla hardware running Windows Vista or later;
* - ::CU_DEVICE_ATTRIBUTE_MEMORY_CLOCK_RATE: Peak memory clock frequency in kilohertz;
* - ::CU_DEVICE_ATTRIBUTE_GLOBAL_MEMORY_BUS_WIDTH: Global memory bus width in bits;
* - ::CU_DEVICE_ATTRIBUTE_L2_CACHE_SIZE: Size of L2 cache in bytes. 0 if the device doesn't have L2 cache;
* - ::CU_DEVICE_ATTRIBUTE_MAX_THREADS_PER_MULTIPROCESSOR: Maximum resident threads per multiprocessor;
* - ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING: 1 if the device shares a unified address space with
* the host, or 0 if not;
* - ::CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MAJOR: Major compute capability version number;
* - ::CU_DEVICE_ATTRIBUTE_COMPUTE_CAPABILITY_MINOR: Minor compute capability version number;
* - ::CU_DEVICE_ATTRIBUTE_GLOBAL_L1_CACHE_SUPPORTED: 1 if device supports caching globals
* in L1 cache, 0 if caching globals in L1 cache is not supported by the device;
* - ::CU_DEVICE_ATTRIBUTE_LOCAL_L1_CACHE_SUPPORTED: 1 if device supports caching locals
* in L1 cache, 0 if caching locals in L1 cache is not supported by the device;
* - ::CU_DEVICE_ATTRIBUTE_MAX_SHARED_MEMORY_PER_MULTIPROCESSOR: Maximum amount of
* shared memory available to a multiprocessor in bytes; this amount is shared
* by all thread blocks simultaneously resident on a multiprocessor;
* - ::CU_DEVICE_ATTRIBUTE_MAX_REGISTERS_PER_MULTIPROCESSOR: Maximum number of 32-bit
* registers available to a multiprocessor; this number is shared by all thread
* blocks simultaneously resident on a multiprocessor;
* - ::CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY: 1 if device supports allocating managed memory
* on this system, 0 if allocating managed memory is not supported by the device on this system.
* - ::CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD: 1 if device is on a multi-GPU board, 0 if not.
* - ::CU_DEVICE_ATTRIBUTE_MULTI_GPU_BOARD_GROUP_ID: Unique identifier for a group of devices
* associated with the same board. Devices on the same multi-GPU board will share the same identifier.
*
* @param pi - Returned device attribute value
* @param attrib - Device attribute to query
* @param dev - Device handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa
* ::cuDeviceGetCount,
* ::cuDeviceGetName,
* ::cuDeviceGet,
* ::cuDeviceTotalMem
*/
public static native @Cast("CUresult") int cuDeviceGetAttribute(IntPointer pi, @Cast("CUdevice_attribute") int attrib, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceGetAttribute(IntBuffer pi, @Cast("CUdevice_attribute") int attrib, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceGetAttribute(int[] pi, @Cast("CUdevice_attribute") int attrib, @Cast("CUdevice") int dev);
/** \} */ /* END CUDA_DEVICE */
/**
* \defgroup CUDA_DEVICE_DEPRECATED Device Management [DEPRECATED]
*
* ___MANBRIEF___ deprecated device management functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the device management functions of the low-level
* CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Returns properties for a selected device
*
* @deprecated
*
* This function was deprecated as of CUDA 5.0 and replaced by ::cuDeviceGetAttribute().
*
* Returns in \p *prop the properties of device \p dev. The ::CUdevprop
* structure is defined as:
*
* {@code
typedef struct CUdevprop_st {
int maxThreadsPerBlock;
int maxThreadsDim[3];
int maxGridSize[3];
int sharedMemPerBlock;
int totalConstantMemory;
int SIMDWidth;
int memPitch;
int regsPerBlock;
int clockRate;
int textureAlign
} CUdevprop;
* }
* where:
*
* - ::maxThreadsPerBlock is the maximum number of threads per block;
* - ::maxThreadsDim[3] is the maximum sizes of each dimension of a block;
* - ::maxGridSize[3] is the maximum sizes of each dimension of a grid;
* - ::sharedMemPerBlock is the total amount of shared memory available per
* block in bytes;
* - ::totalConstantMemory is the total amount of constant memory available on
* the device in bytes;
* - ::SIMDWidth is the warp size;
* - ::memPitch is the maximum pitch allowed by the memory copy functions that
* involve memory regions allocated through ::cuMemAllocPitch();
* - ::regsPerBlock is the total number of registers available per block;
* - ::clockRate is the clock frequency in kilohertz;
* - ::textureAlign is the alignment requirement; texture base addresses that
* are aligned to ::textureAlign bytes do not need an offset applied to
* texture fetches.
*
* @param prop - Returned properties of device
* @param dev - Device to get properties for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa
* ::cuDeviceGetAttribute,
* ::cuDeviceGetCount,
* ::cuDeviceGetName,
* ::cuDeviceGet,
* ::cuDeviceTotalMem
*/
public static native @Cast("CUresult") int cuDeviceGetProperties(CUdevprop prop, @Cast("CUdevice") int dev);
/**
* \brief Returns the compute capability of the device
*
* @deprecated
*
* This function was deprecated as of CUDA 5.0 and its functionality superceded
* by ::cuDeviceGetAttribute().
*
* Returns in \p *major and \p *minor the major and minor revision numbers that
* define the compute capability of the device \p dev.
*
* @param major - Major revision number
* @param minor - Minor revision number
* @param dev - Device handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa
* ::cuDeviceGetAttribute,
* ::cuDeviceGetCount,
* ::cuDeviceGetName,
* ::cuDeviceGet,
* ::cuDeviceTotalMem
*/
public static native @Cast("CUresult") int cuDeviceComputeCapability(IntPointer major, IntPointer minor, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceComputeCapability(IntBuffer major, IntBuffer minor, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceComputeCapability(int[] major, int[] minor, @Cast("CUdevice") int dev);
/** \} */ /* END CUDA_DEVICE_DEPRECATED */
/**
* \defgroup CUDA_PRIMARY_CTX Primary Context Management
*
* ___MANBRIEF___ primary context management functions of the low-level CUDA driver
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the primary context management functions of the low-level
* CUDA driver application programming interface.
*
* The primary context unique per device and it's shared with CUDA runtime API.
* Those functions allows seemless integration with other libraries using CUDA.
*
* \{
*/
// #if __CUDA_API_VERSION >= 7000
/**
* \brief Retain the primary context on the GPU
*
* Retains the primary context on the device, creating it if necessary,
* increasing its usage count. The caller must call
* ::cuDevicePrimaryCtxRelease() when done using the context.
* Unlike ::cuCtxCreate() the newly created context is not pushed onto the stack.
*
* Context creation will fail with ::CUDA_ERROR_UNKNOWN if the compute mode of
* the device is ::CU_COMPUTEMODE_PROHIBITED. Similarly, context creation will
* also fail with ::CUDA_ERROR_UNKNOWN if the compute mode for the device is
* set to ::CU_COMPUTEMODE_EXCLUSIVE and there is already an active, non-primary,
* context on the device. The function ::cuDeviceGetAttribute() can be used with
* ::CU_DEVICE_ATTRIBUTE_COMPUTE_MODE to determine the compute mode of the
* device. The nvidia-smi tool can be used to set the compute mode for
* devices. Documentation for nvidia-smi can be obtained by passing a
* -h option to it.
*
* Please note that the primary context always supports pinned allocations. Other
* flags can be specified by ::cuDevicePrimaryCtxSetFlags().
*
* @param pctx - Returned context handle of the new context
* @param dev - Device for which primary context is requested
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_DEVICE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa ::cuDevicePrimaryCtxRelease,
* ::cuDevicePrimaryCtxSetFlags,
* ::cuCtxCreate,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuDevicePrimaryCtxRetain(@ByPtrPtr CUctx_st pctx, @Cast("CUdevice") int dev);
/**
* \brief Release the primary context on the GPU
*
* Releases the primary context interop on the device by decreasing the usage
* count by 1. If the usage drops to 0 the primary context of device \p dev
* will be destroyed regardless of how many threads it is current to.
*
* Please note that unlike ::cuCtxDestroy() this method does not pop the context
* from stack in any circumstances.
*
* @param dev - Device which primary context is released
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa ::cuDevicePrimaryCtxRetain,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuDevicePrimaryCtxRelease(@Cast("CUdevice") int dev);
/**
* \brief Set flags for the primary context
*
* Sets the flags for the primary context on the device overwriting perviously
* set ones. If the primary context is already created
* ::CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE is returned.
*
* The three LSBs of the \p flags parameter can be used to control how the OS
* thread, which owns the CUDA context at the time of an API call, interacts
* with the OS scheduler when waiting for results from the GPU. Only one of
* the scheduling flags can be set when creating a context.
*
* - ::CU_CTX_SCHED_SPIN: Instruct CUDA to actively spin when waiting for
* results from the GPU. This can decrease latency when waiting for the GPU,
* but may lower the performance of CPU threads if they are performing work in
* parallel with the CUDA thread.
*
* - ::CU_CTX_SCHED_YIELD: Instruct CUDA to yield its thread when waiting for
* results from the GPU. This can increase latency when waiting for the GPU,
* but can increase the performance of CPU threads performing work in parallel
* with the GPU.
*
* - ::CU_CTX_SCHED_BLOCKING_SYNC: Instruct CUDA to block the CPU thread on a
* synchronization primitive when waiting for the GPU to finish work.
*
* - ::CU_CTX_BLOCKING_SYNC: Instruct CUDA to block the CPU thread on a
* synchronization primitive when waiting for the GPU to finish work.
* Deprecated: This flag was deprecated as of CUDA 4.0 and was
* replaced with ::CU_CTX_SCHED_BLOCKING_SYNC.
*
* - ::CU_CTX_SCHED_AUTO: The default value if the \p flags parameter is zero,
* uses a heuristic based on the number of active CUDA contexts in the
* process \e C and the number of logical processors in the system \e P. If
* \e C > \e P, then CUDA will yield to other OS threads when waiting for
* the GPU (::CU_CTX_SCHED_YIELD), otherwise CUDA will not yield while
* waiting for results and actively spin on the processor (::CU_CTX_SCHED_SPIN).
* However, on low power devices like Tegra, it always defaults to
* ::CU_CTX_SCHED_BLOCKING_SYNC.
*
* - ::CU_CTX_LMEM_RESIZE_TO_MAX: Instruct CUDA to not reduce local memory
* after resizing local memory for a kernel. This can prevent thrashing by
* local memory allocations when launching many kernels with high local
* memory usage at the cost of potentially increased memory usage.
*
* @param dev - Device for which the primary context flags are set
* @param flags - New flags for the device
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_DEVICE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE
* \notefnerr
*
* \sa ::cuDevicePrimaryCtxRetain,
* ::cuDevicePrimaryCtxGetState,
* ::cuCtxCreate,
* ::cuCtxGetFlags
*/
public static native @Cast("CUresult") int cuDevicePrimaryCtxSetFlags(@Cast("CUdevice") int dev, @Cast("unsigned int") int flags);
/**
* \brief Get the state of the primary context
*
* Returns in \p *flags the flags for the primary context of \p dev, and in
* \p *active whether it is active. See ::cuDevicePrimaryCtxSetFlags for flag
* values.
*
* @param dev - Device to get primary context flags for
* @param flags - Pointer to store flags
* @param active - Pointer to store context state; 0 = inactive, 1 = active
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_DEVICE,
* ::CUDA_ERROR_INVALID_VALUE,
* \notefnerr
*
* \sa ::cuDevicePrimaryCtxSetFlags,
* ::cuCtxGetFlags
*/
public static native @Cast("CUresult") int cuDevicePrimaryCtxGetState(@Cast("CUdevice") int dev, @Cast("unsigned int*") IntPointer flags, IntPointer active);
public static native @Cast("CUresult") int cuDevicePrimaryCtxGetState(@Cast("CUdevice") int dev, @Cast("unsigned int*") IntBuffer flags, IntBuffer active);
public static native @Cast("CUresult") int cuDevicePrimaryCtxGetState(@Cast("CUdevice") int dev, @Cast("unsigned int*") int[] flags, int[] active);
/**
* \brief Destroy all allocations and reset all state on the primary context
*
* Explicitly destroys and cleans up all resources associated with the current
* device in the current process.
*
* Note that it is responsibility of the calling function to ensure that no
* other module in the process is using the device any more. For that reason
* it is recommended to use ::cuDevicePrimaryCtxRelease() in most cases.
* However it is safe for other modules to call ::cuDevicePrimaryCtxRelease()
* even after resetting the device.
*
* @param dev - Device for which primary context is destroyed
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_DEVICE,
* ::CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE
* \notefnerr
*
* \sa ::cuDevicePrimaryCtxRetain,
* ::cuDevicePrimaryCtxRelease,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*
*/
public static native @Cast("CUresult") int cuDevicePrimaryCtxReset(@Cast("CUdevice") int dev);
// #endif /* __CUDA_API_VERSION >= 7000 */
/** \} */ /* END CUDA_PRIMARY_CTX */
/**
* \defgroup CUDA_CTX Context Management
*
* ___MANBRIEF___ context management functions of the low-level CUDA driver
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the context management functions of the low-level
* CUDA driver application programming interface.
*
* \{
*/
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Create a CUDA context
*
* Creates a new CUDA context and associates it with the calling thread. The
* \p flags parameter is described below. The context is created with a usage
* count of 1 and the caller of ::cuCtxCreate() must call ::cuCtxDestroy() or
* when done using the context. If a context is already current to the thread,
* it is supplanted by the newly created context and may be restored by a subsequent
* call to ::cuCtxPopCurrent().
*
* The three LSBs of the \p flags parameter can be used to control how the OS
* thread, which owns the CUDA context at the time of an API call, interacts
* with the OS scheduler when waiting for results from the GPU. Only one of
* the scheduling flags can be set when creating a context.
*
* - ::CU_CTX_SCHED_SPIN: Instruct CUDA to actively spin when waiting for
* results from the GPU. This can decrease latency when waiting for the GPU,
* but may lower the performance of CPU threads if they are performing work in
* parallel with the CUDA thread.
*
* - ::CU_CTX_SCHED_YIELD: Instruct CUDA to yield its thread when waiting for
* results from the GPU. This can increase latency when waiting for the GPU,
* but can increase the performance of CPU threads performing work in parallel
* with the GPU.
*
* - ::CU_CTX_SCHED_BLOCKING_SYNC: Instruct CUDA to block the CPU thread on a
* synchronization primitive when waiting for the GPU to finish work.
*
* - ::CU_CTX_BLOCKING_SYNC: Instruct CUDA to block the CPU thread on a
* synchronization primitive when waiting for the GPU to finish work.
* Deprecated: This flag was deprecated as of CUDA 4.0 and was
* replaced with ::CU_CTX_SCHED_BLOCKING_SYNC.
*
* - ::CU_CTX_SCHED_AUTO: The default value if the \p flags parameter is zero,
* uses a heuristic based on the number of active CUDA contexts in the
* process \e C and the number of logical processors in the system \e P. If
* \e C > \e P, then CUDA will yield to other OS threads when waiting for
* the GPU (::CU_CTX_SCHED_YIELD), otherwise CUDA will not yield while
* waiting for results and actively spin on the processor (::CU_CTX_SCHED_SPIN).
* However, on low power devices like Tegra, it always defaults to
* ::CU_CTX_SCHED_BLOCKING_SYNC.
*
* - ::CU_CTX_MAP_HOST: Instruct CUDA to support mapped pinned allocations.
* This flag must be set in order to allocate pinned host memory that is
* accessible to the GPU.
*
* - ::CU_CTX_LMEM_RESIZE_TO_MAX: Instruct CUDA to not reduce local memory
* after resizing local memory for a kernel. This can prevent thrashing by
* local memory allocations when launching many kernels with high local
* memory usage at the cost of potentially increased memory usage.
*
* Context creation will fail with ::CUDA_ERROR_UNKNOWN if the compute mode of
* the device is ::CU_COMPUTEMODE_PROHIBITED. Similarly, context creation will
* also fail with ::CUDA_ERROR_UNKNOWN if the compute mode for the device is
* set to ::CU_COMPUTEMODE_EXCLUSIVE and there is already an active context on
* the device. The function ::cuDeviceGetAttribute() can be used with
* ::CU_DEVICE_ATTRIBUTE_COMPUTE_MODE to determine the compute mode of the
* device. The nvidia-smi tool can be used to set the compute mode for
* devices. Documentation for nvidia-smi can be obtained by passing a
* -h option to it.
*
* @param pctx - Returned context handle of the new context
* @param flags - Context creation flags
* @param dev - Device to create context on
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_DEVICE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxCreate(@ByPtrPtr CUctx_st pctx, @Cast("unsigned int") int flags, @Cast("CUdevice") int dev);
// #endif /* __CUDA_API_VERSION >= 3020 */
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Destroy a CUDA context
*
* Destroys the CUDA context specified by \p ctx. The context \p ctx will be
* destroyed regardless of how many threads it is current to.
* It is the responsibility of the calling function to ensure that no API
* call issues using \p ctx while ::cuCtxDestroy() is executing.
*
* If \p ctx is current to the calling thread then \p ctx will also be
* popped from the current thread's context stack (as though ::cuCtxPopCurrent()
* were called). If \p ctx is current to other threads, then \p ctx will
* remain current to those threads, and attempting to access \p ctx from
* those threads will result in the error ::CUDA_ERROR_CONTEXT_IS_DESTROYED.
*
* @param ctx - Context to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxDestroy(CUctx_st ctx);
// #endif /* __CUDA_API_VERSION >= 4000 */
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Pushes a context on the current CPU thread
*
* Pushes the given context \p ctx onto the CPU thread's stack of current
* contexts. The specified context becomes the CPU thread's current context, so
* all CUDA functions that operate on the current context are affected.
*
* The previous current context may be made current again by calling
* ::cuCtxDestroy() or ::cuCtxPopCurrent().
*
* @param ctx - Context to push
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxPushCurrent(CUctx_st ctx);
/**
* \brief Pops the current CUDA context from the current CPU thread.
*
* Pops the current CUDA context from the CPU thread and passes back the
* old context handle in \p *pctx. That context may then be made current
* to a different CPU thread by calling ::cuCtxPushCurrent().
*
* If a context was current to the CPU thread before ::cuCtxCreate() or
* ::cuCtxPushCurrent() was called, this function makes that context current to
* the CPU thread again.
*
* @param pctx - Returned new context handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxPopCurrent(@ByPtrPtr CUctx_st pctx);
/**
* \brief Binds the specified CUDA context to the calling CPU thread
*
* Binds the specified CUDA context to the calling CPU thread.
* If \p ctx is NULL then the CUDA context previously bound to the
* calling CPU thread is unbound and ::CUDA_SUCCESS is returned.
*
* If there exists a CUDA context stack on the calling CPU thread, this
* will replace the top of that stack with \p ctx.
* If \p ctx is NULL then this will be equivalent to popping the top
* of the calling CPU thread's CUDA context stack (or a no-op if the
* calling CPU thread's CUDA context stack is empty).
*
* @param ctx - Context to bind to the calling CPU thread
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT
* \notefnerr
*
* \sa ::cuCtxGetCurrent, ::cuCtxCreate, ::cuCtxDestroy
*/
public static native @Cast("CUresult") int cuCtxSetCurrent(CUctx_st ctx);
/**
* \brief Returns the CUDA context bound to the calling CPU thread.
*
* Returns in \p *pctx the CUDA context bound to the calling CPU thread.
* If no context is bound to the calling CPU thread then \p *pctx is
* set to NULL and ::CUDA_SUCCESS is returned.
*
* @param pctx - Returned context handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* \notefnerr
*
* \sa ::cuCtxSetCurrent, ::cuCtxCreate, ::cuCtxDestroy
*/
public static native @Cast("CUresult") int cuCtxGetCurrent(@ByPtrPtr CUctx_st pctx);
// #endif /* __CUDA_API_VERSION >= 4000 */
/**
* \brief Returns the device ID for the current context
*
* Returns in \p *device the ordinal of the current context's device.
*
* @param device - Returned device ID for the current context
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxGetDevice(@Cast("CUdevice*") IntPointer device);
public static native @Cast("CUresult") int cuCtxGetDevice(@Cast("CUdevice*") IntBuffer device);
public static native @Cast("CUresult") int cuCtxGetDevice(@Cast("CUdevice*") int[] device);
// #if __CUDA_API_VERSION >= 7000
/**
* \brief Returns the flags for the current context
*
* Returns in \p *flags the flags of the current context. See ::cuCtxCreate
* for flag values.
*
* @param flags - Pointer to store flags of current context
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetCurrent,
* ::cuCtxGetDevice
* ::cuCtxGetLimit,
* ::cuCtxGetSharedMemConfig,
* ::cuCtxGetStreamPriorityRange
*/
public static native @Cast("CUresult") int cuCtxGetFlags(@Cast("unsigned int*") IntPointer flags);
public static native @Cast("CUresult") int cuCtxGetFlags(@Cast("unsigned int*") IntBuffer flags);
public static native @Cast("CUresult") int cuCtxGetFlags(@Cast("unsigned int*") int[] flags);
// #endif /* __CUDA_API_VERSION >= 7000 */
/**
* \brief Block for a context's tasks to complete
*
* Blocks until the device has completed all preceding requested tasks.
* ::cuCtxSynchronize() returns an error if one of the preceding tasks failed.
* If the context was created with the ::CU_CTX_SCHED_BLOCKING_SYNC flag, the
* CPU thread will block until the GPU context has finished its work.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit
*/
public static native @Cast("CUresult") int cuCtxSynchronize();
/**
* \brief Set resource limits
*
* Setting \p limit to \p value is a request by the application to update
* the current limit maintained by the context. The driver is free to
* modify the requested value to meet h/w requirements (this could be
* clamping to minimum or maximum values, rounding up to nearest element
* size, etc). The application can use ::cuCtxGetLimit() to find out exactly
* what the limit has been set to.
*
* Setting each ::CUlimit has its own specific restrictions, so each is
* discussed here.
*
* - ::CU_LIMIT_STACK_SIZE controls the stack size in bytes of each GPU thread.
* This limit is only applicable to devices of compute capability 2.0 and
* higher. Attempting to set this limit on devices of compute capability
* less than 2.0 will result in the error ::CUDA_ERROR_UNSUPPORTED_LIMIT
* being returned.
*
* - ::CU_LIMIT_PRINTF_FIFO_SIZE controls the size in bytes of the FIFO used
* by the ::printf() device system call. Setting ::CU_LIMIT_PRINTF_FIFO_SIZE
* must be performed before launching any kernel that uses the ::printf()
* device system call, otherwise ::CUDA_ERROR_INVALID_VALUE will be returned.
* This limit is only applicable to devices of compute capability 2.0 and
* higher. Attempting to set this limit on devices of compute capability
* less than 2.0 will result in the error ::CUDA_ERROR_UNSUPPORTED_LIMIT
* being returned.
*
* - ::CU_LIMIT_MALLOC_HEAP_SIZE controls the size in bytes of the heap used
* by the ::malloc() and ::free() device system calls. Setting
* ::CU_LIMIT_MALLOC_HEAP_SIZE must be performed before launching any kernel
* that uses the ::malloc() or ::free() device system calls, otherwise
* ::CUDA_ERROR_INVALID_VALUE will be returned. This limit is only applicable
* to devices of compute capability 2.0 and higher. Attempting to set this
* limit on devices of compute capability less than 2.0 will result in the
* error ::CUDA_ERROR_UNSUPPORTED_LIMIT being returned.
*
* - ::CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH controls the maximum nesting depth of
* a grid at which a thread can safely call ::cudaDeviceSynchronize(). Setting
* this limit must be performed before any launch of a kernel that uses the
* device runtime and calls ::cudaDeviceSynchronize() above the default sync
* depth, two levels of grids. Calls to ::cudaDeviceSynchronize() will fail
* with error code ::cudaErrorSyncDepthExceeded if the limitation is
* violated. This limit can be set smaller than the default or up the maximum
* launch depth of 24. When setting this limit, keep in mind that additional
* levels of sync depth require the driver to reserve large amounts of device
* memory which can no longer be used for user allocations. If these
* reservations of device memory fail, ::cuCtxSetLimit will return
* ::CUDA_ERROR_OUT_OF_MEMORY, and the limit can be reset to a lower value.
* This limit is only applicable to devices of compute capability 3.5 and
* higher. Attempting to set this limit on devices of compute capability less
* than 3.5 will result in the error ::CUDA_ERROR_UNSUPPORTED_LIMIT being
* returned.
*
* - ::CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT controls the maximum number of
* outstanding device runtime launches that can be made from the current
* context. A grid is outstanding from the point of launch up until the grid
* is known to have been completed. Device runtime launches which violate
* this limitation fail and return ::cudaErrorLaunchPendingCountExceeded when
* ::cudaGetLastError() is called after launch. If more pending launches than
* the default (2048 launches) are needed for a module using the device
* runtime, this limit can be increased. Keep in mind that being able to
* sustain additional pending launches will require the driver to reserve
* larger amounts of device memory upfront which can no longer be used for
* allocations. If these reservations fail, ::cuCtxSetLimit will return
* ::CUDA_ERROR_OUT_OF_MEMORY, and the limit can be reset to a lower value.
* This limit is only applicable to devices of compute capability 3.5 and
* higher. Attempting to set this limit on devices of compute capability less
* than 3.5 will result in the error ::CUDA_ERROR_UNSUPPORTED_LIMIT being
* returned.
*
* @param limit - Limit to set
* @param value - Size of limit
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_UNSUPPORTED_LIMIT,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxSetLimit(@Cast("CUlimit") int limit, @Cast("size_t") long value);
/**
* \brief Returns resource limits
*
* Returns in \p *pvalue the current size of \p limit. The supported
* ::CUlimit values are:
* - ::CU_LIMIT_STACK_SIZE: stack size in bytes of each GPU thread.
* - ::CU_LIMIT_PRINTF_FIFO_SIZE: size in bytes of the FIFO used by the
* ::printf() device system call.
* - ::CU_LIMIT_MALLOC_HEAP_SIZE: size in bytes of the heap used by the
* ::malloc() and ::free() device system calls.
* - ::CU_LIMIT_DEV_RUNTIME_SYNC_DEPTH: maximum grid depth at which a thread
* can issue the device runtime call ::cudaDeviceSynchronize() to wait on
* child grid launches to complete.
* - ::CU_LIMIT_DEV_RUNTIME_PENDING_LAUNCH_COUNT: maximum number of outstanding
* device runtime launches that can be made from this context.
*
* @param limit - Limit to query
* @param pvalue - Returned size of limit
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_UNSUPPORTED_LIMIT
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxGetLimit(@Cast("size_t*") SizeTPointer pvalue, @Cast("CUlimit") int limit);
/**
* \brief Returns the preferred cache configuration for the current context.
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this function returns through \p pconfig the preferred cache configuration
* for the current context. This is only a preference. The driver will use
* the requested configuration if possible, but it is free to choose a different
* configuration if required to execute functions.
*
* This will return a \p pconfig of ::CU_FUNC_CACHE_PREFER_NONE on devices
* where the size of the L1 cache and shared memory are fixed.
*
* The supported cache configurations are:
* - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)
* - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache
* - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory
* - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory
*
* @param pconfig - Returned cache configuration
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize,
* ::cuFuncSetCacheConfig
*/
public static native @Cast("CUresult") int cuCtxGetCacheConfig(@Cast("CUfunc_cache*") IntPointer pconfig);
public static native @Cast("CUresult") int cuCtxGetCacheConfig(@Cast("CUfunc_cache*") IntBuffer pconfig);
public static native @Cast("CUresult") int cuCtxGetCacheConfig(@Cast("CUfunc_cache*") int[] pconfig);
/**
* \brief Sets the preferred cache configuration for the current context.
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this sets through \p config the preferred cache configuration for
* the current context. This is only a preference. The driver will use
* the requested configuration if possible, but it is free to choose a different
* configuration if required to execute the function. Any function preference
* set via ::cuFuncSetCacheConfig() will be preferred over this context-wide
* setting. Setting the context-wide cache configuration to
* ::CU_FUNC_CACHE_PREFER_NONE will cause subsequent kernel launches to prefer
* to not change the cache configuration unless required to launch the kernel.
*
* This setting does nothing on devices where the size of the L1 cache and
* shared memory are fixed.
*
* Launching a kernel with a different preference than the most recent
* preference setting may insert a device-side synchronization point.
*
* The supported cache configurations are:
* - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)
* - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache
* - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory
* - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory
*
* @param config - Requested cache configuration
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize,
* ::cuFuncSetCacheConfig
*/
public static native @Cast("CUresult") int cuCtxSetCacheConfig(@Cast("CUfunc_cache") int config);
// #if __CUDA_API_VERSION >= 4020
/**
* \brief Returns the current shared memory configuration for the current context.
*
* This function will return in \p pConfig the current size of shared memory banks
* in the current context. On devices with configurable shared memory banks,
* ::cuCtxSetSharedMemConfig can be used to change this setting, so that all
* subsequent kernel launches will by default use the new bank size. When
* ::cuCtxGetSharedMemConfig is called on devices without configurable shared
* memory, it will return the fixed bank size of the hardware.
*
* The returned bank configurations can be either:
* - ::CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE: shared memory bank width is
* four bytes.
* - ::CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE: shared memory bank width will
* eight bytes.
*
* @param pConfig - returned shared memory configuration
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize,
* ::cuCtxGetSharedMemConfig,
* ::cuFuncSetCacheConfig,
*/
public static native @Cast("CUresult") int cuCtxGetSharedMemConfig(@Cast("CUsharedconfig*") IntPointer pConfig);
public static native @Cast("CUresult") int cuCtxGetSharedMemConfig(@Cast("CUsharedconfig*") IntBuffer pConfig);
public static native @Cast("CUresult") int cuCtxGetSharedMemConfig(@Cast("CUsharedconfig*") int[] pConfig);
/**
* \brief Sets the shared memory configuration for the current context.
*
* On devices with configurable shared memory banks, this function will set
* the context's shared memory bank size which is used for subsequent kernel
* launches.
*
* Changed the shared memory configuration between launches may insert a device
* side synchronization point between those launches.
*
* Changing the shared memory bank size will not increase shared memory usage
* or affect occupancy of kernels, but may have major effects on performance.
* Larger bank sizes will allow for greater potential bandwidth to shared memory,
* but will change what kinds of accesses to shared memory will result in bank
* conflicts.
*
* This function will do nothing on devices with fixed shared memory bank size.
*
* The supported bank configurations are:
* - ::CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE: set bank width to the default initial
* setting (currently, four bytes).
* - ::CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE: set shared memory bank width to
* be natively four bytes.
* - ::CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE: set shared memory bank width to
* be natively eight bytes.
*
* @param config - requested shared memory configuration
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize,
* ::cuCtxGetSharedMemConfig,
* ::cuFuncSetCacheConfig,
*/
public static native @Cast("CUresult") int cuCtxSetSharedMemConfig(@Cast("CUsharedconfig") int config);
// #endif
/**
* \brief Gets the context's API version.
*
* Returns a version number in \p version corresponding to the capabilities of
* the context (e.g. 3010 or 3020), which library developers can use to direct
* callers to a specific API version. If \p ctx is NULL, returns the API version
* used to create the currently bound context.
*
* Note that new API versions are only introduced when context capabilities are
* changed that break binary compatibility, so the API version and driver version
* may be different. For example, it is valid for the API version to be 3020 while
* the driver version is 4020.
*
* @param ctx - Context to check
* @param version - Pointer to version
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxGetApiVersion(CUctx_st ctx, @Cast("unsigned int*") IntPointer version);
public static native @Cast("CUresult") int cuCtxGetApiVersion(CUctx_st ctx, @Cast("unsigned int*") IntBuffer version);
public static native @Cast("CUresult") int cuCtxGetApiVersion(CUctx_st ctx, @Cast("unsigned int*") int[] version);
/**
* \brief Returns numerical values that correspond to the least and
* greatest stream priorities.
*
* Returns in \p *leastPriority and \p *greatestPriority the numerical values that correspond
* to the least and greatest stream priorities respectively. Stream priorities
* follow a convention where lower numbers imply greater priorities. The range of
* meaningful stream priorities is given by [\p *greatestPriority, \p *leastPriority].
* If the user attempts to create a stream with a priority value that is
* outside the meaningful range as specified by this API, the priority is
* automatically clamped down or up to either \p *leastPriority or \p *greatestPriority
* respectively. See ::cuStreamCreateWithPriority for details on creating a
* priority stream.
* A NULL may be passed in for \p *leastPriority or \p *greatestPriority if the value
* is not desired.
*
* This function will return '0' in both \p *leastPriority and \p *greatestPriority if
* the current context's device does not support stream priorities
* (see ::cuDeviceGetAttribute).
*
* @param leastPriority - Pointer to an int in which the numerical value for least
* stream priority is returned
* @param greatestPriority - Pointer to an int in which the numerical value for greatest
* stream priority is returned
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE,
* \notefnerr
*
* \sa ::cuStreamCreateWithPriority,
* ::cuStreamGetPriority,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxGetStreamPriorityRange(IntPointer leastPriority, IntPointer greatestPriority);
public static native @Cast("CUresult") int cuCtxGetStreamPriorityRange(IntBuffer leastPriority, IntBuffer greatestPriority);
public static native @Cast("CUresult") int cuCtxGetStreamPriorityRange(int[] leastPriority, int[] greatestPriority);
/** \} */ /* END CUDA_CTX */
/**
* \defgroup CUDA_CTX_DEPRECATED Context Management [DEPRECATED]
*
* ___MANBRIEF___ deprecated context management functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the deprecated context management functions of the low-level
* CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Increment a context's usage-count
*
* @deprecated
*
* Note that this function is deprecated and should not be used.
*
* Increments the usage count of the context and passes back a context handle
* in \p *pctx that must be passed to ::cuCtxDetach() when the application is
* done with the context. ::cuCtxAttach() fails if there is no context current
* to the thread.
*
* Currently, the \p flags parameter must be 0.
*
* @param pctx - Returned context handle of the current context
* @param flags - Context attach flags (must be 0)
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxDetach,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxAttach(@ByPtrPtr CUctx_st pctx, @Cast("unsigned int") int flags);
/**
* \brief Decrement a context's usage-count
*
* @deprecated
*
* Note that this function is deprecated and should not be used.
*
* Decrements the usage count of the context \p ctx, and destroys the context
* if the usage count goes to 0. The context must be a handle that was passed
* back by ::cuCtxCreate() or ::cuCtxAttach(), and must be current to the
* calling thread.
*
* @param ctx - Context to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT
* \notefnerr
*
* \sa ::cuCtxCreate,
* ::cuCtxDestroy,
* ::cuCtxGetApiVersion,
* ::cuCtxGetCacheConfig,
* ::cuCtxGetDevice,
* ::cuCtxGetFlags,
* ::cuCtxGetLimit,
* ::cuCtxPopCurrent,
* ::cuCtxPushCurrent,
* ::cuCtxSetCacheConfig,
* ::cuCtxSetLimit,
* ::cuCtxSynchronize
*/
public static native @Cast("CUresult") int cuCtxDetach(CUctx_st ctx);
/** \} */ /* END CUDA_CTX_DEPRECATED */
/**
* \defgroup CUDA_MODULE Module Management
*
* ___MANBRIEF___ module management functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the module management functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Loads a compute module
*
* Takes a filename \p fname and loads the corresponding module \p module into
* the current context. The CUDA driver API does not attempt to lazily
* allocate the resources needed by a module; if the memory for functions and
* data (constant and global) needed by the module cannot be allocated,
* ::cuModuleLoad() fails. The file should be a \e cubin file as output by
* \b nvcc, or a \e PTX file either as output by \b nvcc or handwritten, or
* a \e fatbin file as output by \b nvcc from toolchain 4.0 or later.
*
* @param module - Returned module
* @param fname - Filename of module to load
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_PTX,
* ::CUDA_ERROR_NOT_FOUND,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_FILE_NOT_FOUND,
* ::CUDA_ERROR_NO_BINARY_FOR_GPU,
* ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleLoad(@ByPtrPtr CUmod_st module, @Cast("const char*") BytePointer fname);
public static native @Cast("CUresult") int cuModuleLoad(@ByPtrPtr CUmod_st module, String fname);
/**
* \brief Load a module's data
*
* Takes a pointer \p image and loads the corresponding module \p module into
* the current context. The pointer may be obtained by mapping a \e cubin or
* \e PTX or \e fatbin file, passing a \e cubin or \e PTX or \e fatbin file
* as a NULL-terminated text string, or incorporating a \e cubin or \e fatbin
* object into the executable resources and using operating system calls such
* as Windows \c FindResource() to obtain the pointer.
*
* @param module - Returned module
* @param image - Module data to load
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_PTX,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_NO_BINARY_FOR_GPU,
* ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleLoadData(@ByPtrPtr CUmod_st module, @Const Pointer image);
/**
* \brief Load a module's data with options
*
* Takes a pointer \p image and loads the corresponding module \p module into
* the current context. The pointer may be obtained by mapping a \e cubin or
* \e PTX or \e fatbin file, passing a \e cubin or \e PTX or \e fatbin file
* as a NULL-terminated text string, or incorporating a \e cubin or \e fatbin
* object into the executable resources and using operating system calls such
* as Windows \c FindResource() to obtain the pointer. Options are passed as
* an array via \p options and any corresponding parameters are passed in
* \p optionValues. The number of total options is supplied via \p numOptions.
* Any outputs will be returned via \p optionValues.
*
* @param module - Returned module
* @param image - Module data to load
* @param numOptions - Number of options
* @param options - Options for JIT
* @param optionValues - Option values for JIT
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_PTX,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_NO_BINARY_FOR_GPU,
* ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleLoadDataEx(@ByPtrPtr CUmod_st module, @Const Pointer image, @Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") PointerPointer optionValues);
public static native @Cast("CUresult") int cuModuleLoadDataEx(@ByPtrPtr CUmod_st module, @Const Pointer image, @Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuModuleLoadDataEx(@ByPtrPtr CUmod_st module, @Const Pointer image, @Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntBuffer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuModuleLoadDataEx(@ByPtrPtr CUmod_st module, @Const Pointer image, @Cast("unsigned int") int numOptions, @Cast("CUjit_option*") int[] options, @Cast("void**") @ByPtrPtr Pointer optionValues);
/**
* \brief Load a module's data
*
* Takes a pointer \p fatCubin and loads the corresponding module \p module
* into the current context. The pointer represents a fat binary object,
* which is a collection of different \e cubin and/or \e PTX files, all
* representing the same device code, but compiled and optimized for different
* architectures.
*
* Prior to CUDA 4.0, there was no documented API for constructing and using
* fat binary objects by programmers. Starting with CUDA 4.0, fat binary
* objects can be constructed by providing the -fatbin option to \b nvcc.
* More information can be found in the \b nvcc document.
*
* @param module - Returned module
* @param fatCubin - Fat binary to load
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_PTX,
* ::CUDA_ERROR_NOT_FOUND,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_NO_BINARY_FOR_GPU,
* ::CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleLoadFatBinary(@ByPtrPtr CUmod_st module, @Const Pointer fatCubin);
/**
* \brief Unloads a module
*
* Unloads a module \p hmod from the current context.
*
* @param hmod - Module to unload
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary
*/
public static native @Cast("CUresult") int cuModuleUnload(CUmod_st hmod);
/**
* \brief Returns a function handle
*
* Returns in \p *hfunc the handle of the function of name \p name located in
* module \p hmod. If no function of that name exists, ::cuModuleGetFunction()
* returns ::CUDA_ERROR_NOT_FOUND.
*
* @param hfunc - Returned function handle
* @param hmod - Module to retrieve function from
* @param name - Name of function to retrieve
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_NOT_FOUND
* \notefnerr
*
* \sa ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleGetFunction(@ByPtrPtr CUfunc_st hfunc, CUmod_st hmod, @Cast("const char*") BytePointer name);
public static native @Cast("CUresult") int cuModuleGetFunction(@ByPtrPtr CUfunc_st hfunc, CUmod_st hmod, String name);
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Returns a global pointer from a module
*
* Returns in \p *dptr and \p *bytes the base pointer and size of the
* global of name \p name located in module \p hmod. If no variable of that name
* exists, ::cuModuleGetGlobal() returns ::CUDA_ERROR_NOT_FOUND. Both
* parameters \p dptr and \p bytes are optional. If one of them is
* NULL, it is ignored.
*
* @param dptr - Returned global device pointer
* @param bytes - Returned global size in bytes
* @param hmod - Module to retrieve global from
* @param name - Name of global to retrieve
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_NOT_FOUND
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleGetGlobal(@Cast("CUdeviceptr*") LongPointer dptr, @Cast("size_t*") SizeTPointer bytes, CUmod_st hmod, @Cast("const char*") BytePointer name);
public static native @Cast("CUresult") int cuModuleGetGlobal(@Cast("CUdeviceptr*") LongBuffer dptr, @Cast("size_t*") SizeTPointer bytes, CUmod_st hmod, String name);
public static native @Cast("CUresult") int cuModuleGetGlobal(@Cast("CUdeviceptr*") long[] dptr, @Cast("size_t*") SizeTPointer bytes, CUmod_st hmod, @Cast("const char*") BytePointer name);
public static native @Cast("CUresult") int cuModuleGetGlobal(@Cast("CUdeviceptr*") LongPointer dptr, @Cast("size_t*") SizeTPointer bytes, CUmod_st hmod, String name);
public static native @Cast("CUresult") int cuModuleGetGlobal(@Cast("CUdeviceptr*") LongBuffer dptr, @Cast("size_t*") SizeTPointer bytes, CUmod_st hmod, @Cast("const char*") BytePointer name);
public static native @Cast("CUresult") int cuModuleGetGlobal(@Cast("CUdeviceptr*") long[] dptr, @Cast("size_t*") SizeTPointer bytes, CUmod_st hmod, String name);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Returns a handle to a texture reference
*
* Returns in \p *pTexRef the handle of the texture reference of name \p name
* in the module \p hmod. If no texture reference of that name exists,
* ::cuModuleGetTexRef() returns ::CUDA_ERROR_NOT_FOUND. This texture reference
* handle should not be destroyed, since it will be destroyed when the module
* is unloaded.
*
* @param pTexRef - Returned texture reference
* @param hmod - Module to retrieve texture reference from
* @param name - Name of texture reference to retrieve
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_NOT_FOUND
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetSurfRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleGetTexRef(@ByPtrPtr CUtexref_st pTexRef, CUmod_st hmod, @Cast("const char*") BytePointer name);
public static native @Cast("CUresult") int cuModuleGetTexRef(@ByPtrPtr CUtexref_st pTexRef, CUmod_st hmod, String name);
/**
* \brief Returns a handle to a surface reference
*
* Returns in \p *pSurfRef the handle of the surface reference of name \p name
* in the module \p hmod. If no surface reference of that name exists,
* ::cuModuleGetSurfRef() returns ::CUDA_ERROR_NOT_FOUND.
*
* @param pSurfRef - Returned surface reference
* @param hmod - Module to retrieve surface reference from
* @param name - Name of surface reference to retrieve
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_NOT_FOUND
* \notefnerr
*
* \sa ::cuModuleGetFunction,
* ::cuModuleGetGlobal,
* ::cuModuleGetTexRef,
* ::cuModuleLoad,
* ::cuModuleLoadData,
* ::cuModuleLoadDataEx,
* ::cuModuleLoadFatBinary,
* ::cuModuleUnload
*/
public static native @Cast("CUresult") int cuModuleGetSurfRef(@ByPtrPtr CUsurfref_st pSurfRef, CUmod_st hmod, @Cast("const char*") BytePointer name);
public static native @Cast("CUresult") int cuModuleGetSurfRef(@ByPtrPtr CUsurfref_st pSurfRef, CUmod_st hmod, String name);
// #if __CUDA_API_VERSION >= 5050
/**
* \brief Creates a pending JIT linker invocation.
*
* If the call is successful, the caller owns the returned CUlinkState, which
* should eventually be destroyed with ::cuLinkDestroy. The
* device code machine size (32 or 64 bit) will match the calling application.
*
* Both linker and compiler options may be specified. Compiler options will
* be applied to inputs to this linker action which must be compiled from PTX.
* The options ::CU_JIT_WALL_TIME,
* ::CU_JIT_INFO_LOG_BUFFER_SIZE_BYTES, and ::CU_JIT_ERROR_LOG_BUFFER_SIZE_BYTES
* will accumulate data until the CUlinkState is destroyed.
*
* \p optionValues must remain valid for the life of the CUlinkState if output
* options are used. No other references to inputs are maintained after this
* call returns.
*
* @param numOptions Size of options arrays
* @param options Array of linker and compiler options
* @param optionValues Array of option values, each cast to void *
* @param stateOut On success, this will contain a CUlinkState to specify
* and complete this action
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuLinkAddData,
* ::cuLinkAddFile,
* ::cuLinkComplete,
* ::cuLinkDestroy
*/
public static native @Cast("CUresult") int cuLinkCreate(@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") PointerPointer optionValues, @ByPtrPtr CUlinkState_st stateOut);
public static native @Cast("CUresult") int cuLinkCreate(@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") @ByPtrPtr Pointer optionValues, @ByPtrPtr CUlinkState_st stateOut);
public static native @Cast("CUresult") int cuLinkCreate(@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntBuffer options, @Cast("void**") @ByPtrPtr Pointer optionValues, @ByPtrPtr CUlinkState_st stateOut);
public static native @Cast("CUresult") int cuLinkCreate(@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") int[] options, @Cast("void**") @ByPtrPtr Pointer optionValues, @ByPtrPtr CUlinkState_st stateOut);
/**
* \brief Add an input to a pending linker invocation
*
* Ownership of \p data is retained by the caller. No reference is retained to any
* inputs after this call returns.
*
* This method accepts only compiler options, which are used if the data must
* be compiled from PTX, and does not accept any of
* ::CU_JIT_WALL_TIME, ::CU_JIT_INFO_LOG_BUFFER, ::CU_JIT_ERROR_LOG_BUFFER,
* ::CU_JIT_TARGET_FROM_CUCONTEXT, or ::CU_JIT_TARGET.
*
* @param state A pending linker action.
* @param type The type of the input data.
* @param data The input data. PTX must be NULL-terminated.
* @param size The length of the input data.
* @param name An optional name for this input in log messages.
* @param numOptions Size of options.
* @param options Options to be applied only for this input (overrides options from ::cuLinkCreate).
* @param optionValues Array of option values, each cast to void *.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_IMAGE,
* ::CUDA_ERROR_INVALID_PTX,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_NO_BINARY_FOR_GPU
*
* \sa ::cuLinkCreate,
* ::cuLinkAddFile,
* ::cuLinkComplete,
* ::cuLinkDestroy
*/
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, @Cast("const char*") BytePointer name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") PointerPointer optionValues);
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, @Cast("const char*") BytePointer name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, String name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntBuffer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, @Cast("const char*") BytePointer name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") int[] options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, String name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, @Cast("const char*") BytePointer name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntBuffer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddData(CUlinkState_st state, @Cast("CUjitInputType") int type, Pointer data, @Cast("size_t") long size, String name,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") int[] options, @Cast("void**") @ByPtrPtr Pointer optionValues);
/**
* \brief Add a file input to a pending linker invocation
*
* No reference is retained to any inputs after this call returns.
*
* This method accepts only compiler options, which are used if the input
* must be compiled from PTX, and does not accept any of
* ::CU_JIT_WALL_TIME, ::CU_JIT_INFO_LOG_BUFFER, ::CU_JIT_ERROR_LOG_BUFFER,
* ::CU_JIT_TARGET_FROM_CUCONTEXT, or ::CU_JIT_TARGET.
*
* This method is equivalent to invoking ::cuLinkAddData on the contents
* of the file.
*
* @param state A pending linker action
* @param type The type of the input data
* @param path Path to the input file
* @param numOptions Size of options
* @param options Options to be applied only for this input (overrides options from ::cuLinkCreate)
* @param optionValues Array of option values, each cast to void *
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_FILE_NOT_FOUND
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_IMAGE,
* ::CUDA_ERROR_INVALID_PTX,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_NO_BINARY_FOR_GPU
*
* \sa ::cuLinkCreate,
* ::cuLinkAddData,
* ::cuLinkComplete,
* ::cuLinkDestroy
*/
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, @Cast("const char*") BytePointer path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") PointerPointer optionValues);
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, @Cast("const char*") BytePointer path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, String path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntBuffer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, @Cast("const char*") BytePointer path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") int[] options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, String path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntPointer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, @Cast("const char*") BytePointer path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") IntBuffer options, @Cast("void**") @ByPtrPtr Pointer optionValues);
public static native @Cast("CUresult") int cuLinkAddFile(CUlinkState_st state, @Cast("CUjitInputType") int type, String path,
@Cast("unsigned int") int numOptions, @Cast("CUjit_option*") int[] options, @Cast("void**") @ByPtrPtr Pointer optionValues);
/**
* \brief Complete a pending linker invocation
*
* Completes the pending linker action and returns the cubin image for the linked
* device code, which can be used with ::cuModuleLoadData. The cubin is owned by
* \p state, so it should be loaded before \p state is destroyed via ::cuLinkDestroy.
* This call does not destroy \p state.
*
* @param state A pending linker invocation
* @param cubinOut On success, this will point to the output image
* @param sizeOut Optional parameter to receive the size of the generated image
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_OUT_OF_MEMORY
*
* \sa ::cuLinkCreate,
* ::cuLinkAddData,
* ::cuLinkAddFile,
* ::cuLinkDestroy,
* ::cuModuleLoadData
*/
public static native @Cast("CUresult") int cuLinkComplete(CUlinkState_st state, @Cast("void**") PointerPointer cubinOut, @Cast("size_t*") SizeTPointer sizeOut);
public static native @Cast("CUresult") int cuLinkComplete(CUlinkState_st state, @Cast("void**") @ByPtrPtr Pointer cubinOut, @Cast("size_t*") SizeTPointer sizeOut);
/**
* \brief Destroys state for a JIT linker invocation.
*
* @param state State object for the linker invocation
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_HANDLE
*
* \sa ::cuLinkCreate
*/
public static native @Cast("CUresult") int cuLinkDestroy(CUlinkState_st state);
// #endif /* __CUDA_API_VERSION >= 5050 */
/** \} */ /* END CUDA_MODULE */
/**
* \defgroup CUDA_MEM Memory Management
*
* ___MANBRIEF___ memory management functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the memory management functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Gets free and total memory
*
* Returns in \p *free and \p *total respectively, the free and total amount of
* memory available for allocation by the CUDA context, in bytes.
*
* @param free - Returned free memory in bytes
* @param total - Returned total memory in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemGetInfo(@Cast("size_t*") SizeTPointer free, @Cast("size_t*") SizeTPointer total);
/**
* \brief Allocates device memory
*
* Allocates \p bytesize bytes of linear memory on the device and returns in
* \p *dptr a pointer to the allocated memory. The allocated memory is suitably
* aligned for any kind of variable. The memory is not cleared. If \p bytesize
* is 0, ::cuMemAlloc() returns ::CUDA_ERROR_INVALID_VALUE.
*
* @param dptr - Returned device pointer
* @param bytesize - Requested allocation size in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemAlloc(@Cast("CUdeviceptr*") LongPointer dptr, @Cast("size_t") long bytesize);
public static native @Cast("CUresult") int cuMemAlloc(@Cast("CUdeviceptr*") LongBuffer dptr, @Cast("size_t") long bytesize);
public static native @Cast("CUresult") int cuMemAlloc(@Cast("CUdeviceptr*") long[] dptr, @Cast("size_t") long bytesize);
/**
* \brief Allocates pitched device memory
*
* Allocates at least \p WidthInBytes * \p Height bytes of linear memory on
* the device and returns in \p *dptr a pointer to the allocated memory. The
* function may pad the allocation to ensure that corresponding pointers in
* any given row will continue to meet the alignment requirements for
* coalescing as the address is updated from row to row. \p ElementSizeBytes
* specifies the size of the largest reads and writes that will be performed
* on the memory range. \p ElementSizeBytes may be 4, 8 or 16 (since coalesced
* memory transactions are not possible on other data sizes). If
* \p ElementSizeBytes is smaller than the actual read/write size of a kernel,
* the kernel will run correctly, but possibly at reduced speed. The pitch
* returned in \p *pPitch by ::cuMemAllocPitch() is the width in bytes of the
* allocation. The intended usage of pitch is as a separate parameter of the
* allocation, used to compute addresses within the 2D array. Given the row
* and column of an array element of type \b T, the address is computed as:
* {@code
T* pElement = (T*)((char*)BaseAddress + Row * Pitch) + Column;
* }
*
* The pitch returned by ::cuMemAllocPitch() is guaranteed to work with
* ::cuMemcpy2D() under all circumstances. For allocations of 2D arrays, it is
* recommended that programmers consider performing pitch allocations using
* ::cuMemAllocPitch(). Due to alignment restrictions in the hardware, this is
* especially true if the application will be performing 2D memory copies
* between different regions of device memory (whether linear memory or CUDA
* arrays).
*
* The byte alignment of the pitch returned by ::cuMemAllocPitch() is guaranteed
* to match or exceed the alignment requirement for texture binding with
* ::cuTexRefSetAddress2D().
*
* @param dptr - Returned device pointer
* @param pPitch - Returned pitch of allocation in bytes
* @param WidthInBytes - Requested allocation width in bytes
* @param Height - Requested allocation height in rows
* @param ElementSizeBytes - Size of largest reads/writes for range
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemAllocPitch(@Cast("CUdeviceptr*") LongPointer dptr, @Cast("size_t*") SizeTPointer pPitch, @Cast("size_t") long WidthInBytes, @Cast("size_t") long Height, @Cast("unsigned int") int ElementSizeBytes);
public static native @Cast("CUresult") int cuMemAllocPitch(@Cast("CUdeviceptr*") LongBuffer dptr, @Cast("size_t*") SizeTPointer pPitch, @Cast("size_t") long WidthInBytes, @Cast("size_t") long Height, @Cast("unsigned int") int ElementSizeBytes);
public static native @Cast("CUresult") int cuMemAllocPitch(@Cast("CUdeviceptr*") long[] dptr, @Cast("size_t*") SizeTPointer pPitch, @Cast("size_t") long WidthInBytes, @Cast("size_t") long Height, @Cast("unsigned int") int ElementSizeBytes);
/**
* \brief Frees device memory
*
* Frees the memory space pointed to by \p dptr, which must have been returned
* by a previous call to ::cuMemAlloc() or ::cuMemAllocPitch().
*
* @param dptr - Pointer to memory to free
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemFree(@Cast("CUdeviceptr") long dptr);
/**
* \brief Get information on memory allocations
*
* Returns the base address in \p *pbase and size in \p *psize of the
* allocation by ::cuMemAlloc() or ::cuMemAllocPitch() that contains the input
* pointer \p dptr. Both parameters \p pbase and \p psize are optional. If one
* of them is NULL, it is ignored.
*
* @param pbase - Returned base address
* @param psize - Returned size of device memory allocation
* @param dptr - Device pointer to query
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemGetAddressRange(@Cast("CUdeviceptr*") LongPointer pbase, @Cast("size_t*") SizeTPointer psize, @Cast("CUdeviceptr") long dptr);
public static native @Cast("CUresult") int cuMemGetAddressRange(@Cast("CUdeviceptr*") LongBuffer pbase, @Cast("size_t*") SizeTPointer psize, @Cast("CUdeviceptr") long dptr);
public static native @Cast("CUresult") int cuMemGetAddressRange(@Cast("CUdeviceptr*") long[] pbase, @Cast("size_t*") SizeTPointer psize, @Cast("CUdeviceptr") long dptr);
/**
* \brief Allocates page-locked host memory
*
* Allocates \p bytesize bytes of host memory that is page-locked and
* accessible to the device. The driver tracks the virtual memory ranges
* allocated with this function and automatically accelerates calls to
* functions such as ::cuMemcpy(). Since the memory can be accessed directly by
* the device, it can be read or written with much higher bandwidth than
* pageable memory obtained with functions such as ::malloc(). Allocating
* excessive amounts of memory with ::cuMemAllocHost() may degrade system
* performance, since it reduces the amount of memory available to the system
* for paging. As a result, this function is best used sparingly to allocate
* staging areas for data exchange between host and device.
*
* Note all host memory allocated using ::cuMemHostAlloc() will automatically
* be immediately accessible to all contexts on all devices which support unified
* addressing (as may be queried using ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING).
* The device pointer that may be used to access this host memory from those
* contexts is always equal to the returned host pointer \p *pp.
* See \ref CUDA_UNIFIED for additional details.
*
* @param pp - Returned host pointer to page-locked memory
* @param bytesize - Requested allocation size in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemAllocHost(@Cast("void**") PointerPointer pp, @Cast("size_t") long bytesize);
public static native @Cast("CUresult") int cuMemAllocHost(@Cast("void**") @ByPtrPtr Pointer pp, @Cast("size_t") long bytesize);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Frees page-locked host memory
*
* Frees the memory space pointed to by \p p, which must have been returned by
* a previous call to ::cuMemAllocHost().
*
* @param p - Pointer to memory to free
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemFreeHost(Pointer p);
/**
* \brief Allocates page-locked host memory
*
* Allocates \p bytesize bytes of host memory that is page-locked and accessible
* to the device. The driver tracks the virtual memory ranges allocated with
* this function and automatically accelerates calls to functions such as
* ::cuMemcpyHtoD(). Since the memory can be accessed directly by the device,
* it can be read or written with much higher bandwidth than pageable memory
* obtained with functions such as ::malloc(). Allocating excessive amounts of
* pinned memory may degrade system performance, since it reduces the amount
* of memory available to the system for paging. As a result, this function is
* best used sparingly to allocate staging areas for data exchange between
* host and device.
*
* The \p Flags parameter enables different options to be specified that
* affect the allocation, as follows.
*
* - ::CU_MEMHOSTALLOC_PORTABLE: The memory returned by this call will be
* considered as pinned memory by all CUDA contexts, not just the one that
* performed the allocation.
*
* - ::CU_MEMHOSTALLOC_DEVICEMAP: Maps the allocation into the CUDA address
* space. The device pointer to the memory may be obtained by calling
* ::cuMemHostGetDevicePointer(). This feature is available only on GPUs
* with compute capability greater than or equal to 1.1.
*
* - ::CU_MEMHOSTALLOC_WRITECOMBINED: Allocates the memory as write-combined
* (WC). WC memory can be transferred across the PCI Express bus more
* quickly on some system configurations, but cannot be read efficiently by
* most CPUs. WC memory is a good option for buffers that will be written by
* the CPU and read by the GPU via mapped pinned memory or host->device
* transfers.
*
* All of these flags are orthogonal to one another: a developer may allocate
* memory that is portable, mapped and/or write-combined with no restrictions.
*
* The CUDA context must have been created with the ::CU_CTX_MAP_HOST flag in
* order for the ::CU_MEMHOSTALLOC_DEVICEMAP flag to have any effect.
*
* The ::CU_MEMHOSTALLOC_DEVICEMAP flag may be specified on CUDA contexts for
* devices that do not support mapped pinned memory. The failure is deferred
* to ::cuMemHostGetDevicePointer() because the memory may be mapped into
* other CUDA contexts via the ::CU_MEMHOSTALLOC_PORTABLE flag.
*
* The memory allocated by this function must be freed with ::cuMemFreeHost().
*
* Note all host memory allocated using ::cuMemHostAlloc() will automatically
* be immediately accessible to all contexts on all devices which support unified
* addressing (as may be queried using ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING).
* Unless the flag ::CU_MEMHOSTALLOC_WRITECOMBINED is specified, the device pointer
* that may be used to access this host memory from those contexts is always equal
* to the returned host pointer \p *pp. If the flag ::CU_MEMHOSTALLOC_WRITECOMBINED
* is specified, then the function ::cuMemHostGetDevicePointer() must be used
* to query the device pointer, even if the context supports unified addressing.
* See \ref CUDA_UNIFIED for additional details.
*
* @param pp - Returned host pointer to page-locked memory
* @param bytesize - Requested allocation size in bytes
* @param Flags - Flags for allocation request
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemHostAlloc(@Cast("void**") PointerPointer pp, @Cast("size_t") long bytesize, @Cast("unsigned int") int Flags);
public static native @Cast("CUresult") int cuMemHostAlloc(@Cast("void**") @ByPtrPtr Pointer pp, @Cast("size_t") long bytesize, @Cast("unsigned int") int Flags);
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Passes back device pointer of mapped pinned memory
*
* Passes back the device pointer \p pdptr corresponding to the mapped, pinned
* host buffer \p p allocated by ::cuMemHostAlloc.
*
* ::cuMemHostGetDevicePointer() will fail if the ::CU_MEMHOSTALLOC_DEVICEMAP
* flag was not specified at the time the memory was allocated, or if the
* function is called on a GPU that does not support mapped pinned memory.
*
* \p Flags provides for future releases. For now, it must be set to 0.
*
* @param pdptr - Returned device pointer
* @param p - Host pointer
* @param Flags - Options (must be 0)
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemHostGetDevicePointer(@Cast("CUdeviceptr*") LongPointer pdptr, Pointer p, @Cast("unsigned int") int Flags);
public static native @Cast("CUresult") int cuMemHostGetDevicePointer(@Cast("CUdeviceptr*") LongBuffer pdptr, Pointer p, @Cast("unsigned int") int Flags);
public static native @Cast("CUresult") int cuMemHostGetDevicePointer(@Cast("CUdeviceptr*") long[] pdptr, Pointer p, @Cast("unsigned int") int Flags);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Passes back flags that were used for a pinned allocation
*
* Passes back the flags \p pFlags that were specified when allocating
* the pinned host buffer \p p allocated by ::cuMemHostAlloc.
*
* ::cuMemHostGetFlags() will fail if the pointer does not reside in
* an allocation performed by ::cuMemAllocHost() or ::cuMemHostAlloc().
*
* @param pFlags - Returned flags word
* @param p - Host pointer
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuMemAllocHost, ::cuMemHostAlloc
*/
public static native @Cast("CUresult") int cuMemHostGetFlags(@Cast("unsigned int*") IntPointer pFlags, Pointer p);
public static native @Cast("CUresult") int cuMemHostGetFlags(@Cast("unsigned int*") IntBuffer pFlags, Pointer p);
public static native @Cast("CUresult") int cuMemHostGetFlags(@Cast("unsigned int*") int[] pFlags, Pointer p);
// #if __CUDA_API_VERSION >= 6000
/**
* \brief Allocates memory that will be automatically managed by the Unified Memory system
*
* Allocates \p bytesize bytes of managed memory on the device and returns in
* \p *dptr a pointer to the allocated memory. If the device doesn't support
* allocating managed memory, ::CUDA_ERROR_NOT_SUPPORTED is returned. Support
* for managed memory can be queried using the device attribute
* ::CU_DEVICE_ATTRIBUTE_MANAGED_MEMORY. The allocated memory is suitably
* aligned for any kind of variable. The memory is not cleared. If \p bytesize
* is 0, ::cuMemAllocManaged returns ::CUDA_ERROR_INVALID_VALUE. The pointer
* is valid on the CPU and on all GPUs in the system that support managed memory.
* All accesses to this pointer must obey the Unified Memory programming model.
*
* \p flags specifies the default stream association for this allocation.
* \p flags must be one of ::CU_MEM_ATTACH_GLOBAL or ::CU_MEM_ATTACH_HOST. If
* ::CU_MEM_ATTACH_GLOBAL is specified, then this memory is accessible from
* any stream on any device. If ::CU_MEM_ATTACH_HOST is specified, then the
* allocation is created with initial visibility restricted to host access only;
* an explicit call to ::cuStreamAttachMemAsync will be required to enable access
* on the device.
*
* If the association is later changed via ::cuStreamAttachMemAsync to
* a single stream, the default association as specifed during ::cuMemAllocManaged
* is restored when that stream is destroyed. For __managed__ variables, the
* default association is always ::CU_MEM_ATTACH_GLOBAL. Note that destroying a
* stream is an asynchronous operation, and as a result, the change to default
* association won't happen until all work in the stream has completed.
*
* Memory allocated with ::cuMemAllocManaged should be released with ::cuMemFree.
*
* On a multi-GPU system with peer-to-peer support, where multiple GPUs support
* managed memory, the physical storage is created on the GPU which is active
* at the time ::cuMemAllocManaged is called. All other GPUs will reference the
* data at reduced bandwidth via peer mappings over the PCIe bus. The Unified
* Memory management system does not migrate memory between GPUs.
*
* On a multi-GPU system where multiple GPUs support managed memory, but not
* all pairs of such GPUs have peer-to-peer support between them, the physical
* storage is created in 'zero-copy' or system memory. All GPUs will reference
* the data at reduced bandwidth over the PCIe bus. In these circumstances,
* use of the environment variable, CUDA_VISIBLE_DEVICES, is recommended to
* restrict CUDA to only use those GPUs that have peer-to-peer support.
* Alternatively, users can also set CUDA_MANAGED_FORCE_DEVICE_ALLOC to a
* non-zero value to force the driver to always use device memory for physical storage.
* When this environment variable is set to a non-zero value, all contexts created in
* that process on devices that support managed memory have to be peer-to-peer compatible
* with each other. Context creation will fail if a context is created on a device that
* supports managed memory and is not peer-to-peer compatible with any of the other
* managed memory supporting devices on which contexts were previously created, even if
* those contexts have been destroyed. These environment variables are described
* in the CUDA programming guide under the "CUDA environment variables" section.
*
* @param dptr - Returned device pointer
* @param bytesize - Requested allocation size in bytes
* @param flags - Must be one of ::CU_MEM_ATTACH_GLOBAL or ::CU_MEM_ATTACH_HOST
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_NOT_SUPPORTED,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32,
* ::cuDeviceGetAttribute, ::cuStreamAttachMemAsync
*/
public static native @Cast("CUresult") int cuMemAllocManaged(@Cast("CUdeviceptr*") LongPointer dptr, @Cast("size_t") long bytesize, @Cast("unsigned int") int flags);
public static native @Cast("CUresult") int cuMemAllocManaged(@Cast("CUdeviceptr*") LongBuffer dptr, @Cast("size_t") long bytesize, @Cast("unsigned int") int flags);
public static native @Cast("CUresult") int cuMemAllocManaged(@Cast("CUdeviceptr*") long[] dptr, @Cast("size_t") long bytesize, @Cast("unsigned int") int flags);
// #endif /* __CUDA_API_VERSION >= 6000 */
// #if __CUDA_API_VERSION >= 4010
/**
* \brief Returns a handle to a compute device
*
* Returns in \p *device a device handle given a PCI bus ID string.
*
* @param dev - Returned device handle
*
* @param pciBusId - String in one of the following forms:
* [domain]:[bus]:[device].[function]
* [domain]:[bus]:[device]
* [bus]:[device].[function]
* where \p domain, \p bus, \p device, and \p function are all hexadecimal values
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa ::cuDeviceGet, ::cuDeviceGetAttribute, ::cuDeviceGetPCIBusId
*/
public static native @Cast("CUresult") int cuDeviceGetByPCIBusId(@Cast("CUdevice*") IntPointer dev, @Cast("const char*") BytePointer pciBusId);
public static native @Cast("CUresult") int cuDeviceGetByPCIBusId(@Cast("CUdevice*") IntBuffer dev, String pciBusId);
public static native @Cast("CUresult") int cuDeviceGetByPCIBusId(@Cast("CUdevice*") int[] dev, @Cast("const char*") BytePointer pciBusId);
public static native @Cast("CUresult") int cuDeviceGetByPCIBusId(@Cast("CUdevice*") IntPointer dev, String pciBusId);
public static native @Cast("CUresult") int cuDeviceGetByPCIBusId(@Cast("CUdevice*") IntBuffer dev, @Cast("const char*") BytePointer pciBusId);
public static native @Cast("CUresult") int cuDeviceGetByPCIBusId(@Cast("CUdevice*") int[] dev, String pciBusId);
/**
* \brief Returns a PCI Bus Id string for the device
*
* Returns an ASCII string identifying the device \p dev in the NULL-terminated
* string pointed to by \p pciBusId. \p len specifies the maximum length of the
* string that may be returned.
*
* @param pciBusId - Returned identifier string for the device in the following format
* [domain]:[bus]:[device].[function]
* where \p domain, \p bus, \p device, and \p function are all hexadecimal values.
* pciBusId should be large enough to store 13 characters including the NULL-terminator.
*
* @param len - Maximum length of string to store in \p name
*
* @param dev - Device to get identifier string for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa ::cuDeviceGet, ::cuDeviceGetAttribute, ::cuDeviceGetByPCIBusId
*/
public static native @Cast("CUresult") int cuDeviceGetPCIBusId(@Cast("char*") BytePointer pciBusId, int len, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceGetPCIBusId(@Cast("char*") ByteBuffer pciBusId, int len, @Cast("CUdevice") int dev);
public static native @Cast("CUresult") int cuDeviceGetPCIBusId(@Cast("char*") byte[] pciBusId, int len, @Cast("CUdevice") int dev);
/**
* \brief Gets an interprocess handle for a previously allocated event
*
* Takes as input a previously allocated event. This event must have been
* created with the ::CU_EVENT_INTERPROCESS and ::CU_EVENT_DISABLE_TIMING
* flags set. This opaque handle may be copied into other processes and
* opened with ::cuIpcOpenEventHandle to allow efficient hardware
* synchronization between GPU work in different processes.
*
* After the event has been opened in the importing process,
* ::cuEventRecord, ::cuEventSynchronize, ::cuStreamWaitEvent and
* ::cuEventQuery may be used in either process. Performing operations
* on the imported event after the exported event has been freed
* with ::cuEventDestroy will result in undefined behavior.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param pHandle - Pointer to a user allocated CUipcEventHandle
* in which to return the opaque event handle
* @param event - Event allocated with ::CU_EVENT_INTERPROCESS and
* ::CU_EVENT_DISABLE_TIMING flags.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_MAP_FAILED
*
* \sa
* ::cuEventCreate,
* ::cuEventDestroy,
* ::cuEventSynchronize,
* ::cuEventQuery,
* ::cuStreamWaitEvent,
* ::cuIpcOpenEventHandle,
* ::cuIpcGetMemHandle,
* ::cuIpcOpenMemHandle,
* ::cuIpcCloseMemHandle
*/
public static native @Cast("CUresult") int cuIpcGetEventHandle(CUipcEventHandle pHandle, CUevent_st event);
/**
* \brief Opens an interprocess event handle for use in the current process
*
* Opens an interprocess event handle exported from another process with
* ::cuIpcGetEventHandle. This function returns a ::CUevent that behaves like
* a locally created event with the ::CU_EVENT_DISABLE_TIMING flag specified.
* This event must be freed with ::cuEventDestroy.
*
* Performing operations on the imported event after the exported event has
* been freed with ::cuEventDestroy will result in undefined behavior.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param phEvent - Returns the imported event
* @param handle - Interprocess handle to open
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_MAP_FAILED,
* ::CUDA_ERROR_PEER_ACCESS_UNSUPPORTED,
* ::CUDA_ERROR_INVALID_HANDLE
*
* \sa
* ::cuEventCreate,
* ::cuEventDestroy,
* ::cuEventSynchronize,
* ::cuEventQuery,
* ::cuStreamWaitEvent,
* ::cuIpcGetEventHandle,
* ::cuIpcGetMemHandle,
* ::cuIpcOpenMemHandle,
* ::cuIpcCloseMemHandle
*/
public static native @Cast("CUresult") int cuIpcOpenEventHandle(@ByPtrPtr CUevent_st phEvent, @ByVal CUipcEventHandle handle);
/**
* \brief Gets an interprocess memory handle for an existing device memory
* allocation
*
* Takes a pointer to the base of an existing device memory allocation created
* with ::cuMemAlloc and exports it for use in another process. This is a
* lightweight operation and may be called multiple times on an allocation
* without adverse effects.
*
* If a region of memory is freed with ::cuMemFree and a subsequent call
* to ::cuMemAlloc returns memory with the same device address,
* ::cuIpcGetMemHandle will return a unique handle for the
* new memory.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param pHandle - Pointer to user allocated ::CUipcMemHandle to return
* the handle in.
* @param dptr - Base pointer to previously allocated device memory
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_MAP_FAILED,
*
* \sa
* ::cuMemAlloc,
* ::cuMemFree,
* ::cuIpcGetEventHandle,
* ::cuIpcOpenEventHandle,
* ::cuIpcOpenMemHandle,
* ::cuIpcCloseMemHandle
*/
public static native @Cast("CUresult") int cuIpcGetMemHandle(CUipcMemHandle pHandle, @Cast("CUdeviceptr") long dptr);
/**
* \brief Opens an interprocess memory handle exported from another process
* and returns a device pointer usable in the local process.
*
* Maps memory exported from another process with ::cuIpcGetMemHandle into
* the current device address space. For contexts on different devices
* ::cuIpcOpenMemHandle can attempt to enable peer access between the
* devices as if the user called ::cuCtxEnablePeerAccess. This behavior is
* controlled by the ::CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS flag.
* ::cuDeviceCanAccessPeer can determine if a mapping is possible.
*
* Contexts that may open ::CUipcMemHandles are restricted in the following way.
* ::CUipcMemHandles from each ::CUdevice in a given process may only be opened
* by one ::CUcontext per ::CUdevice per other process.
*
* Memory returned from ::cuIpcOpenMemHandle must be freed with
* ::cuIpcCloseMemHandle.
*
* Calling ::cuMemFree on an exported memory region before calling
* ::cuIpcCloseMemHandle in the importing context will result in undefined
* behavior.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param pdptr - Returned device pointer
* @param handle - ::CUipcMemHandle to open
* @param Flags - Flags for this operation. Must be specified as ::CU_IPC_MEM_LAZY_ENABLE_PEER_ACCESS
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_MAP_FAILED,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_TOO_MANY_PEERS
*
* \note No guarantees are made about the address returned in \p *pdptr.
* In particular, multiple processes may not receive the same address for the same \p handle.
*
* \sa
* ::cuMemAlloc,
* ::cuMemFree,
* ::cuIpcGetEventHandle,
* ::cuIpcOpenEventHandle,
* ::cuIpcGetMemHandle,
* ::cuIpcCloseMemHandle,
* ::cuCtxEnablePeerAccess,
* ::cuDeviceCanAccessPeer,
*/
public static native @Cast("CUresult") int cuIpcOpenMemHandle(@Cast("CUdeviceptr*") LongPointer pdptr, @ByVal CUipcMemHandle handle, @Cast("unsigned int") int Flags);
public static native @Cast("CUresult") int cuIpcOpenMemHandle(@Cast("CUdeviceptr*") LongBuffer pdptr, @ByVal CUipcMemHandle handle, @Cast("unsigned int") int Flags);
public static native @Cast("CUresult") int cuIpcOpenMemHandle(@Cast("CUdeviceptr*") long[] pdptr, @ByVal CUipcMemHandle handle, @Cast("unsigned int") int Flags);
/**
* \brief Close memory mapped with ::cuIpcOpenMemHandle
*
* Unmaps memory returnd by ::cuIpcOpenMemHandle. The original allocation
* in the exporting process as well as imported mappings in other processes
* will be unaffected.
*
* Any resources used to enable peer access will be freed if this is the
* last mapping using them.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param dptr - Device pointer returned by ::cuIpcOpenMemHandle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_MAP_FAILED,
* ::CUDA_ERROR_INVALID_HANDLE,
*
* \sa
* ::cuMemAlloc,
* ::cuMemFree,
* ::cuIpcGetEventHandle,
* ::cuIpcOpenEventHandle,
* ::cuIpcGetMemHandle,
* ::cuIpcOpenMemHandle,
*/
public static native @Cast("CUresult") int cuIpcCloseMemHandle(@Cast("CUdeviceptr") long dptr);
// #endif /* __CUDA_API_VERSION >= 4010 */
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Registers an existing host memory range for use by CUDA
*
* Page-locks the memory range specified by \p p and \p bytesize and maps it
* for the device(s) as specified by \p Flags. This memory range also is added
* to the same tracking mechanism as ::cuMemHostAlloc to automatically accelerate
* calls to functions such as ::cuMemcpyHtoD(). Since the memory can be accessed
* directly by the device, it can be read or written with much higher bandwidth
* than pageable memory that has not been registered. Page-locking excessive
* amounts of memory may degrade system performance, since it reduces the amount
* of memory available to the system for paging. As a result, this function is
* best used sparingly to register staging areas for data exchange between
* host and device.
*
* This function has limited support on Mac OS X. OS 10.7 or higher is required.
*
* The \p Flags parameter enables different options to be specified that
* affect the allocation, as follows.
*
* - ::CU_MEMHOSTREGISTER_PORTABLE: The memory returned by this call will be
* considered as pinned memory by all CUDA contexts, not just the one that
* performed the allocation.
*
* - ::CU_MEMHOSTREGISTER_DEVICEMAP: Maps the allocation into the CUDA address
* space. The device pointer to the memory may be obtained by calling
* ::cuMemHostGetDevicePointer(). This feature is available only on GPUs
* with compute capability greater than or equal to 1.1.
*
* - ::CU_MEMHOSTREGISTER_IOMEMORY: The pointer is treated as pointing to some
* I/O memory space, e.g. the PCI Express resource of a 3rd party device.
*
* All of these flags are orthogonal to one another: a developer may page-lock
* memory that is portable or mapped with no restrictions.
*
* The CUDA context must have been created with the ::CU_CTX_MAP_HOST flag in
* order for the ::CU_MEMHOSTREGISTER_DEVICEMAP flag to have any effect.
*
* The ::CU_MEMHOSTREGISTER_DEVICEMAP flag may be specified on CUDA contexts for
* devices that do not support mapped pinned memory. The failure is deferred
* to ::cuMemHostGetDevicePointer() because the memory may be mapped into
* other CUDA contexts via the ::CU_MEMHOSTREGISTER_PORTABLE flag.
*
* The memory page-locked by this function must be unregistered with
* ::cuMemHostUnregister().
*
* @param p - Host pointer to memory to page-lock
* @param bytesize - Size in bytes of the address range to page-lock
* @param Flags - Flags for allocation request
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED,
* ::CUDA_ERROR_NOT_PERMITTED,
* ::CUDA_ERROR_NOT_SUPPORTED
* \notefnerr
*
* \sa ::cuMemHostUnregister, ::cuMemHostGetFlags, ::cuMemHostGetDevicePointer
*/
public static native @Cast("CUresult") int cuMemHostRegister(Pointer p, @Cast("size_t") long bytesize, @Cast("unsigned int") int Flags);
/**
* \brief Unregisters a memory range that was registered with cuMemHostRegister.
*
* Unmaps the memory range whose base address is specified by \p p, and makes
* it pageable again.
*
* The base address must be the same one specified to ::cuMemHostRegister().
*
* @param p - Host pointer to memory to unregister
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED,
* \notefnerr
*
* \sa ::cuMemHostRegister
*/
public static native @Cast("CUresult") int cuMemHostUnregister(Pointer p);
/**
* \brief Copies memory
*
* Copies data between two pointers.
* \p dst and \p src are base pointers of the destination and source, respectively.
* \p ByteCount specifies the number of bytes to copy.
* Note that this function infers the type of the transfer (host to host, host to
* device, device to device, or device to host) from the pointer values. This
* function is only allowed in contexts which support unified addressing.
*
* @param dst - Destination unified virtual address space pointer
* @param src - Source unified virtual address space pointer
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpy(@Cast("CUdeviceptr") long dst, @Cast("CUdeviceptr") long src, @Cast("size_t") long ByteCount);
/**
* \brief Copies device memory between two contexts
*
* Copies from device memory in one context to device memory in another
* context. \p dstDevice is the base device pointer of the destination memory
* and \p dstContext is the destination context. \p srcDevice is the base
* device pointer of the source memory and \p srcContext is the source pointer.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstDevice - Destination device pointer
* @param dstContext - Destination context
* @param srcDevice - Source device pointer
* @param srcContext - Source context
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuMemcpyDtoD, ::cuMemcpy3DPeer, ::cuMemcpyDtoDAsync, ::cuMemcpyPeerAsync,
* ::cuMemcpy3DPeerAsync
*/
public static native @Cast("CUresult") int cuMemcpyPeer(@Cast("CUdeviceptr") long dstDevice, CUctx_st dstContext, @Cast("CUdeviceptr") long srcDevice, CUctx_st srcContext, @Cast("size_t") long ByteCount);
// #endif /* __CUDA_API_VERSION >= 4000 */
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Copies memory from Host to Device
*
* Copies from host memory to device memory. \p dstDevice and \p srcHost are
* the base addresses of the destination and source, respectively. \p ByteCount
* specifies the number of bytes to copy.
*
* @param dstDevice - Destination device pointer
* @param srcHost - Source host pointer
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyHtoD(@Cast("CUdeviceptr") long dstDevice, @Const Pointer srcHost, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Device to Host
*
* Copies from device to host memory. \p dstHost and \p srcDevice specify the
* base pointers of the destination and source, respectively. \p ByteCount
* specifies the number of bytes to copy.
*
* @param dstHost - Destination host pointer
* @param srcDevice - Source device pointer
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyDtoH(Pointer dstHost, @Cast("CUdeviceptr") long srcDevice, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Device to Device
*
* Copies from device memory to device memory. \p dstDevice and \p srcDevice
* are the base pointers of the destination and source, respectively.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstDevice - Destination device pointer
* @param srcDevice - Source device pointer
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyDtoD(@Cast("CUdeviceptr") long dstDevice, @Cast("CUdeviceptr") long srcDevice, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Device to Array
*
* Copies from device memory to a 1D CUDA array. \p dstArray and \p dstOffset
* specify the CUDA array handle and starting index of the destination data.
* \p srcDevice specifies the base pointer of the source. \p ByteCount
* specifies the number of bytes to copy.
*
* @param dstArray - Destination array
* @param dstOffset - Offset in bytes of destination array
* @param srcDevice - Source device pointer
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyDtoA(CUarray_st dstArray, @Cast("size_t") long dstOffset, @Cast("CUdeviceptr") long srcDevice, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Array to Device
*
* Copies from one 1D CUDA array to device memory. \p dstDevice specifies the
* base pointer of the destination and must be naturally aligned with the CUDA
* array elements. \p srcArray and \p srcOffset specify the CUDA array handle
* and the offset in bytes into the array where the copy is to begin.
* \p ByteCount specifies the number of bytes to copy and must be evenly
* divisible by the array element size.
*
* @param dstDevice - Destination device pointer
* @param srcArray - Source array
* @param srcOffset - Offset in bytes of source array
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyAtoD(@Cast("CUdeviceptr") long dstDevice, CUarray_st srcArray, @Cast("size_t") long srcOffset, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Host to Array
*
* Copies from host memory to a 1D CUDA array. \p dstArray and \p dstOffset
* specify the CUDA array handle and starting offset in bytes of the destination
* data. \p pSrc specifies the base address of the source. \p ByteCount specifies
* the number of bytes to copy.
*
* @param dstArray - Destination array
* @param dstOffset - Offset in bytes of destination array
* @param srcHost - Source host pointer
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyHtoA(CUarray_st dstArray, @Cast("size_t") long dstOffset, @Const Pointer srcHost, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Array to Host
*
* Copies from one 1D CUDA array to host memory. \p dstHost specifies the base
* pointer of the destination. \p srcArray and \p srcOffset specify the CUDA
* array handle and starting offset in bytes of the source data.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstHost - Destination device pointer
* @param srcArray - Source array
* @param srcOffset - Offset in bytes of source array
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyAtoH(Pointer dstHost, CUarray_st srcArray, @Cast("size_t") long srcOffset, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory from Array to Array
*
* Copies from one 1D CUDA array to another. \p dstArray and \p srcArray
* specify the handles of the destination and source CUDA arrays for the copy,
* respectively. \p dstOffset and \p srcOffset specify the destination and
* source offsets in bytes into the CUDA arrays. \p ByteCount is the number of
* bytes to be copied. The size of the elements in the CUDA arrays need not be
* the same format, but the elements must be the same size; and count must be
* evenly divisible by that size.
*
* @param dstArray - Destination array
* @param dstOffset - Offset in bytes of destination array
* @param srcArray - Source array
* @param srcOffset - Offset in bytes of source array
* @param ByteCount - Size of memory copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpyAtoA(CUarray_st dstArray, @Cast("size_t") long dstOffset, CUarray_st srcArray, @Cast("size_t") long srcOffset, @Cast("size_t") long ByteCount);
/**
* \brief Copies memory for 2D arrays
*
* Perform a 2D memory copy according to the parameters specified in \p pCopy.
* The ::CUDA_MEMCPY2D structure is defined as:
*
* {@code
typedef struct CUDA_MEMCPY2D_st {
unsigned int srcXInBytes, srcY;
CUmemorytype srcMemoryType;
const void *srcHost;
CUdeviceptr srcDevice;
CUarray srcArray;
unsigned int srcPitch;
unsigned int dstXInBytes, dstY;
CUmemorytype dstMemoryType;
void *dstHost;
CUdeviceptr dstDevice;
CUarray dstArray;
unsigned int dstPitch;
unsigned int WidthInBytes;
unsigned int Height;
} CUDA_MEMCPY2D;
* }
* where:
* - ::srcMemoryType and ::dstMemoryType specify the type of memory of the
* source and destination, respectively; ::CUmemorytype_enum is defined as:
*
* {@code
typedef enum CUmemorytype_enum {
CU_MEMORYTYPE_HOST = 0x01,
CU_MEMORYTYPE_DEVICE = 0x02,
CU_MEMORYTYPE_ARRAY = 0x03,
CU_MEMORYTYPE_UNIFIED = 0x04
} CUmemorytype;
* }
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::srcDevice and ::srcPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::srcArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_HOST, ::srcHost and ::srcPitch
* specify the (host) base address of the source data and the bytes per row to
* apply. ::srcArray is ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_DEVICE, ::srcDevice and ::srcPitch
* specify the (device) base address of the source data and the bytes per row
* to apply. ::srcArray is ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_ARRAY, ::srcArray specifies the
* handle of the source data. ::srcHost, ::srcDevice and ::srcPitch are
* ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_HOST, ::dstHost and ::dstPitch
* specify the (host) base address of the destination data and the bytes per
* row to apply. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::dstDevice and ::dstPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::dstArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_DEVICE, ::dstDevice and ::dstPitch
* specify the (device) base address of the destination data and the bytes per
* row to apply. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_ARRAY, ::dstArray specifies the
* handle of the destination data. ::dstHost, ::dstDevice and ::dstPitch are
* ignored.
*
* - ::srcXInBytes and ::srcY specify the base address of the source data for
* the copy.
*
* \par
* For host pointers, the starting address is
* {@code
void* Start = (void*)((char*)srcHost+srcY*srcPitch + srcXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr Start = srcDevice+srcY*srcPitch+srcXInBytes;
* }
*
* \par
* For CUDA arrays, ::srcXInBytes must be evenly divisible by the array
* element size.
*
* - ::dstXInBytes and ::dstY specify the base address of the destination data
* for the copy.
*
* \par
* For host pointers, the base address is
* {@code
void* dstStart = (void*)((char*)dstHost+dstY*dstPitch + dstXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr dstStart = dstDevice+dstY*dstPitch+dstXInBytes;
* }
*
* \par
* For CUDA arrays, ::dstXInBytes must be evenly divisible by the array
* element size.
*
* - ::WidthInBytes and ::Height specify the width (in bytes) and height of
* the 2D copy being performed.
* - If specified, ::srcPitch must be greater than or equal to ::WidthInBytes +
* ::srcXInBytes, and ::dstPitch must be greater than or equal to
* ::WidthInBytes + dstXInBytes.
*
* \par
* ::cuMemcpy2D() returns an error if any pitch is greater than the maximum
* allowed (::CU_DEVICE_ATTRIBUTE_MAX_PITCH). ::cuMemAllocPitch() passes back
* pitches that always work with ::cuMemcpy2D(). On intra-device memory copies
* (device to device, CUDA array to device, CUDA array to CUDA array),
* ::cuMemcpy2D() may fail for pitches not computed by ::cuMemAllocPitch().
* ::cuMemcpy2DUnaligned() does not have this restriction, but may run
* significantly slower in the cases where ::cuMemcpy2D() would have returned
* an error code.
*
* @param pCopy - Parameters for the memory copy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpy2D(@Const CUDA_MEMCPY2D pCopy);
/**
* \brief Copies memory for 2D arrays
*
* Perform a 2D memory copy according to the parameters specified in \p pCopy.
* The ::CUDA_MEMCPY2D structure is defined as:
*
* {@code
typedef struct CUDA_MEMCPY2D_st {
unsigned int srcXInBytes, srcY;
CUmemorytype srcMemoryType;
const void *srcHost;
CUdeviceptr srcDevice;
CUarray srcArray;
unsigned int srcPitch;
unsigned int dstXInBytes, dstY;
CUmemorytype dstMemoryType;
void *dstHost;
CUdeviceptr dstDevice;
CUarray dstArray;
unsigned int dstPitch;
unsigned int WidthInBytes;
unsigned int Height;
} CUDA_MEMCPY2D;
* }
* where:
* - ::srcMemoryType and ::dstMemoryType specify the type of memory of the
* source and destination, respectively; ::CUmemorytype_enum is defined as:
*
* {@code
typedef enum CUmemorytype_enum {
CU_MEMORYTYPE_HOST = 0x01,
CU_MEMORYTYPE_DEVICE = 0x02,
CU_MEMORYTYPE_ARRAY = 0x03,
CU_MEMORYTYPE_UNIFIED = 0x04
} CUmemorytype;
* }
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::srcDevice and ::srcPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::srcArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_HOST, ::srcHost and ::srcPitch
* specify the (host) base address of the source data and the bytes per row to
* apply. ::srcArray is ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_DEVICE, ::srcDevice and ::srcPitch
* specify the (device) base address of the source data and the bytes per row
* to apply. ::srcArray is ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_ARRAY, ::srcArray specifies the
* handle of the source data. ::srcHost, ::srcDevice and ::srcPitch are
* ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::dstDevice and ::dstPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::dstArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_HOST, ::dstHost and ::dstPitch
* specify the (host) base address of the destination data and the bytes per
* row to apply. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_DEVICE, ::dstDevice and ::dstPitch
* specify the (device) base address of the destination data and the bytes per
* row to apply. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_ARRAY, ::dstArray specifies the
* handle of the destination data. ::dstHost, ::dstDevice and ::dstPitch are
* ignored.
*
* - ::srcXInBytes and ::srcY specify the base address of the source data for
* the copy.
*
* \par
* For host pointers, the starting address is
* {@code
void* Start = (void*)((char*)srcHost+srcY*srcPitch + srcXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr Start = srcDevice+srcY*srcPitch+srcXInBytes;
* }
*
* \par
* For CUDA arrays, ::srcXInBytes must be evenly divisible by the array
* element size.
*
* - ::dstXInBytes and ::dstY specify the base address of the destination data
* for the copy.
*
* \par
* For host pointers, the base address is
* {@code
void* dstStart = (void*)((char*)dstHost+dstY*dstPitch + dstXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr dstStart = dstDevice+dstY*dstPitch+dstXInBytes;
* }
*
* \par
* For CUDA arrays, ::dstXInBytes must be evenly divisible by the array
* element size.
*
* - ::WidthInBytes and ::Height specify the width (in bytes) and height of
* the 2D copy being performed.
* - If specified, ::srcPitch must be greater than or equal to ::WidthInBytes +
* ::srcXInBytes, and ::dstPitch must be greater than or equal to
* ::WidthInBytes + dstXInBytes.
*
* \par
* ::cuMemcpy2D() returns an error if any pitch is greater than the maximum
* allowed (::CU_DEVICE_ATTRIBUTE_MAX_PITCH). ::cuMemAllocPitch() passes back
* pitches that always work with ::cuMemcpy2D(). On intra-device memory copies
* (device to device, CUDA array to device, CUDA array to CUDA array),
* ::cuMemcpy2D() may fail for pitches not computed by ::cuMemAllocPitch().
* ::cuMemcpy2DUnaligned() does not have this restriction, but may run
* significantly slower in the cases where ::cuMemcpy2D() would have returned
* an error code.
*
* @param pCopy - Parameters for the memory copy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpy2DUnaligned(@Const CUDA_MEMCPY2D pCopy);
/**
* \brief Copies memory for 3D arrays
*
* Perform a 3D memory copy according to the parameters specified in
* \p pCopy. The ::CUDA_MEMCPY3D structure is defined as:
*
* {@code
typedef struct CUDA_MEMCPY3D_st {
unsigned int srcXInBytes, srcY, srcZ;
unsigned int srcLOD;
CUmemorytype srcMemoryType;
const void *srcHost;
CUdeviceptr srcDevice;
CUarray srcArray;
unsigned int srcPitch; // ignored when src is array
unsigned int srcHeight; // ignored when src is array; may be 0 if Depth==1
unsigned int dstXInBytes, dstY, dstZ;
unsigned int dstLOD;
CUmemorytype dstMemoryType;
void *dstHost;
CUdeviceptr dstDevice;
CUarray dstArray;
unsigned int dstPitch; // ignored when dst is array
unsigned int dstHeight; // ignored when dst is array; may be 0 if Depth==1
unsigned int WidthInBytes;
unsigned int Height;
unsigned int Depth;
} CUDA_MEMCPY3D;
* }
* where:
* - ::srcMemoryType and ::dstMemoryType specify the type of memory of the
* source and destination, respectively; ::CUmemorytype_enum is defined as:
*
* {@code
typedef enum CUmemorytype_enum {
CU_MEMORYTYPE_HOST = 0x01,
CU_MEMORYTYPE_DEVICE = 0x02,
CU_MEMORYTYPE_ARRAY = 0x03,
CU_MEMORYTYPE_UNIFIED = 0x04
} CUmemorytype;
* }
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::srcDevice and ::srcPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::srcArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_HOST, ::srcHost, ::srcPitch and
* ::srcHeight specify the (host) base address of the source data, the bytes
* per row, and the height of each 2D slice of the 3D array. ::srcArray is
* ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_DEVICE, ::srcDevice, ::srcPitch and
* ::srcHeight specify the (device) base address of the source data, the bytes
* per row, and the height of each 2D slice of the 3D array. ::srcArray is
* ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_ARRAY, ::srcArray specifies the
* handle of the source data. ::srcHost, ::srcDevice, ::srcPitch and
* ::srcHeight are ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::dstDevice and ::dstPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::dstArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_HOST, ::dstHost and ::dstPitch
* specify the (host) base address of the destination data, the bytes per row,
* and the height of each 2D slice of the 3D array. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_DEVICE, ::dstDevice and ::dstPitch
* specify the (device) base address of the destination data, the bytes per
* row, and the height of each 2D slice of the 3D array. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_ARRAY, ::dstArray specifies the
* handle of the destination data. ::dstHost, ::dstDevice, ::dstPitch and
* ::dstHeight are ignored.
*
* - ::srcXInBytes, ::srcY and ::srcZ specify the base address of the source
* data for the copy.
*
* \par
* For host pointers, the starting address is
* {@code
void* Start = (void*)((char*)srcHost+(srcZ*srcHeight+srcY)*srcPitch + srcXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr Start = srcDevice+(srcZ*srcHeight+srcY)*srcPitch+srcXInBytes;
* }
*
* \par
* For CUDA arrays, ::srcXInBytes must be evenly divisible by the array
* element size.
*
* - dstXInBytes, ::dstY and ::dstZ specify the base address of the
* destination data for the copy.
*
* \par
* For host pointers, the base address is
* {@code
void* dstStart = (void*)((char*)dstHost+(dstZ*dstHeight+dstY)*dstPitch + dstXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr dstStart = dstDevice+(dstZ*dstHeight+dstY)*dstPitch+dstXInBytes;
* }
*
* \par
* For CUDA arrays, ::dstXInBytes must be evenly divisible by the array
* element size.
*
* - ::WidthInBytes, ::Height and ::Depth specify the width (in bytes), height
* and depth of the 3D copy being performed.
* - If specified, ::srcPitch must be greater than or equal to ::WidthInBytes +
* ::srcXInBytes, and ::dstPitch must be greater than or equal to
* ::WidthInBytes + dstXInBytes.
* - If specified, ::srcHeight must be greater than or equal to ::Height +
* ::srcY, and ::dstHeight must be greater than or equal to ::Height + ::dstY.
*
* \par
* ::cuMemcpy3D() returns an error if any pitch is greater than the maximum
* allowed (::CU_DEVICE_ATTRIBUTE_MAX_PITCH).
*
* The ::srcLOD and ::dstLOD members of the ::CUDA_MEMCPY3D structure must be
* set to 0.
*
* @param pCopy - Parameters for the memory copy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemcpy3D(@Const CUDA_MEMCPY3D pCopy);
// #endif /* __CUDA_API_VERSION >= 3020 */
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Copies memory between contexts
*
* Perform a 3D memory copy according to the parameters specified in
* \p pCopy. See the definition of the ::CUDA_MEMCPY3D_PEER structure
* for documentation of its parameters.
*
* @param pCopy - Parameters for the memory copy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_sync
*
* \sa ::cuMemcpyDtoD, ::cuMemcpyPeer, ::cuMemcpyDtoDAsync, ::cuMemcpyPeerAsync,
* ::cuMemcpy3DPeerAsync
*/
public static native @Cast("CUresult") int cuMemcpy3DPeer(@Const CUDA_MEMCPY3D_PEER pCopy);
/**
* \brief Copies memory asynchronously
*
* Copies data between two pointers.
* \p dst and \p src are base pointers of the destination and source, respectively.
* \p ByteCount specifies the number of bytes to copy.
* Note that this function infers the type of the transfer (host to host, host to
* device, device to device, or device to host) from the pointer values. This
* function is only allowed in contexts which support unified addressing.
*
* @param dst - Destination unified virtual address space pointer
* @param src - Source unified virtual address space pointer
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpyAsync(@Cast("CUdeviceptr") long dst, @Cast("CUdeviceptr") long src, @Cast("size_t") long ByteCount, CUstream_st hStream);
/**
* \brief Copies device memory between two contexts asynchronously.
*
* Copies from device memory in one context to device memory in another
* context. \p dstDevice is the base device pointer of the destination memory
* and \p dstContext is the destination context. \p srcDevice is the base
* device pointer of the source memory and \p srcContext is the source pointer.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstDevice - Destination device pointer
* @param dstContext - Destination context
* @param srcDevice - Source device pointer
* @param srcContext - Source context
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuMemcpyDtoD, ::cuMemcpyPeer, ::cuMemcpy3DPeer, ::cuMemcpyDtoDAsync,
* ::cuMemcpy3DPeerAsync
*/
public static native @Cast("CUresult") int cuMemcpyPeerAsync(@Cast("CUdeviceptr") long dstDevice, CUctx_st dstContext, @Cast("CUdeviceptr") long srcDevice, CUctx_st srcContext, @Cast("size_t") long ByteCount, CUstream_st hStream);
// #endif /* __CUDA_API_VERSION >= 4000 */
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Copies memory from Host to Device
*
* Copies from host memory to device memory. \p dstDevice and \p srcHost are
* the base addresses of the destination and source, respectively. \p ByteCount
* specifies the number of bytes to copy.
*
* @param dstDevice - Destination device pointer
* @param srcHost - Source host pointer
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpyHtoDAsync(@Cast("CUdeviceptr") long dstDevice, @Const Pointer srcHost, @Cast("size_t") long ByteCount, CUstream_st hStream);
/**
* \brief Copies memory from Device to Host
*
* Copies from device to host memory. \p dstHost and \p srcDevice specify the
* base pointers of the destination and source, respectively. \p ByteCount
* specifies the number of bytes to copy.
*
* @param dstHost - Destination host pointer
* @param srcDevice - Source device pointer
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpyDtoHAsync(Pointer dstHost, @Cast("CUdeviceptr") long srcDevice, @Cast("size_t") long ByteCount, CUstream_st hStream);
/**
* \brief Copies memory from Device to Device
*
* Copies from device memory to device memory. \p dstDevice and \p srcDevice
* are the base pointers of the destination and source, respectively.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstDevice - Destination device pointer
* @param srcDevice - Source device pointer
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpyDtoDAsync(@Cast("CUdeviceptr") long dstDevice, @Cast("CUdeviceptr") long srcDevice, @Cast("size_t") long ByteCount, CUstream_st hStream);
/**
* \brief Copies memory from Host to Array
*
* Copies from host memory to a 1D CUDA array. \p dstArray and \p dstOffset
* specify the CUDA array handle and starting offset in bytes of the
* destination data. \p srcHost specifies the base address of the source.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstArray - Destination array
* @param dstOffset - Offset in bytes of destination array
* @param srcHost - Source host pointer
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpyHtoAAsync(CUarray_st dstArray, @Cast("size_t") long dstOffset, @Const Pointer srcHost, @Cast("size_t") long ByteCount, CUstream_st hStream);
/**
* \brief Copies memory from Array to Host
*
* Copies from one 1D CUDA array to host memory. \p dstHost specifies the base
* pointer of the destination. \p srcArray and \p srcOffset specify the CUDA
* array handle and starting offset in bytes of the source data.
* \p ByteCount specifies the number of bytes to copy.
*
* @param dstHost - Destination pointer
* @param srcArray - Source array
* @param srcOffset - Offset in bytes of source array
* @param ByteCount - Size of memory copy in bytes
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpyAtoHAsync(Pointer dstHost, CUarray_st srcArray, @Cast("size_t") long srcOffset, @Cast("size_t") long ByteCount, CUstream_st hStream);
/**
* \brief Copies memory for 2D arrays
*
* Perform a 2D memory copy according to the parameters specified in \p pCopy.
* The ::CUDA_MEMCPY2D structure is defined as:
*
* {@code
typedef struct CUDA_MEMCPY2D_st {
unsigned int srcXInBytes, srcY;
CUmemorytype srcMemoryType;
const void *srcHost;
CUdeviceptr srcDevice;
CUarray srcArray;
unsigned int srcPitch;
unsigned int dstXInBytes, dstY;
CUmemorytype dstMemoryType;
void *dstHost;
CUdeviceptr dstDevice;
CUarray dstArray;
unsigned int dstPitch;
unsigned int WidthInBytes;
unsigned int Height;
} CUDA_MEMCPY2D;
* }
* where:
* - ::srcMemoryType and ::dstMemoryType specify the type of memory of the
* source and destination, respectively; ::CUmemorytype_enum is defined as:
*
* {@code
typedef enum CUmemorytype_enum {
CU_MEMORYTYPE_HOST = 0x01,
CU_MEMORYTYPE_DEVICE = 0x02,
CU_MEMORYTYPE_ARRAY = 0x03,
CU_MEMORYTYPE_UNIFIED = 0x04
} CUmemorytype;
* }
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_HOST, ::srcHost and ::srcPitch
* specify the (host) base address of the source data and the bytes per row to
* apply. ::srcArray is ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::srcDevice and ::srcPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::srcArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_DEVICE, ::srcDevice and ::srcPitch
* specify the (device) base address of the source data and the bytes per row
* to apply. ::srcArray is ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_ARRAY, ::srcArray specifies the
* handle of the source data. ::srcHost, ::srcDevice and ::srcPitch are
* ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::dstDevice and ::dstPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::dstArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_HOST, ::dstHost and ::dstPitch
* specify the (host) base address of the destination data and the bytes per
* row to apply. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_DEVICE, ::dstDevice and ::dstPitch
* specify the (device) base address of the destination data and the bytes per
* row to apply. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_ARRAY, ::dstArray specifies the
* handle of the destination data. ::dstHost, ::dstDevice and ::dstPitch are
* ignored.
*
* - ::srcXInBytes and ::srcY specify the base address of the source data for
* the copy.
*
* \par
* For host pointers, the starting address is
* {@code
void* Start = (void*)((char*)srcHost+srcY*srcPitch + srcXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr Start = srcDevice+srcY*srcPitch+srcXInBytes;
* }
*
* \par
* For CUDA arrays, ::srcXInBytes must be evenly divisible by the array
* element size.
*
* - ::dstXInBytes and ::dstY specify the base address of the destination data
* for the copy.
*
* \par
* For host pointers, the base address is
* {@code
void* dstStart = (void*)((char*)dstHost+dstY*dstPitch + dstXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr dstStart = dstDevice+dstY*dstPitch+dstXInBytes;
* }
*
* \par
* For CUDA arrays, ::dstXInBytes must be evenly divisible by the array
* element size.
*
* - ::WidthInBytes and ::Height specify the width (in bytes) and height of
* the 2D copy being performed.
* - If specified, ::srcPitch must be greater than or equal to ::WidthInBytes +
* ::srcXInBytes, and ::dstPitch must be greater than or equal to
* ::WidthInBytes + dstXInBytes.
* - If specified, ::srcPitch must be greater than or equal to ::WidthInBytes +
* ::srcXInBytes, and ::dstPitch must be greater than or equal to
* ::WidthInBytes + dstXInBytes.
* - If specified, ::srcHeight must be greater than or equal to ::Height +
* ::srcY, and ::dstHeight must be greater than or equal to ::Height + ::dstY.
*
* \par
* ::cuMemcpy2DAsync() returns an error if any pitch is greater than the maximum
* allowed (::CU_DEVICE_ATTRIBUTE_MAX_PITCH). ::cuMemAllocPitch() passes back
* pitches that always work with ::cuMemcpy2D(). On intra-device memory copies
* (device to device, CUDA array to device, CUDA array to CUDA array),
* ::cuMemcpy2DAsync() may fail for pitches not computed by ::cuMemAllocPitch().
*
* @param pCopy - Parameters for the memory copy
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpy2DAsync(@Const CUDA_MEMCPY2D pCopy, CUstream_st hStream);
/**
* \brief Copies memory for 3D arrays
*
* Perform a 3D memory copy according to the parameters specified in
* \p pCopy. The ::CUDA_MEMCPY3D structure is defined as:
*
* {@code
typedef struct CUDA_MEMCPY3D_st {
unsigned int srcXInBytes, srcY, srcZ;
unsigned int srcLOD;
CUmemorytype srcMemoryType;
const void *srcHost;
CUdeviceptr srcDevice;
CUarray srcArray;
unsigned int srcPitch; // ignored when src is array
unsigned int srcHeight; // ignored when src is array; may be 0 if Depth==1
unsigned int dstXInBytes, dstY, dstZ;
unsigned int dstLOD;
CUmemorytype dstMemoryType;
void *dstHost;
CUdeviceptr dstDevice;
CUarray dstArray;
unsigned int dstPitch; // ignored when dst is array
unsigned int dstHeight; // ignored when dst is array; may be 0 if Depth==1
unsigned int WidthInBytes;
unsigned int Height;
unsigned int Depth;
} CUDA_MEMCPY3D;
* }
* where:
* - ::srcMemoryType and ::dstMemoryType specify the type of memory of the
* source and destination, respectively; ::CUmemorytype_enum is defined as:
*
* {@code
typedef enum CUmemorytype_enum {
CU_MEMORYTYPE_HOST = 0x01,
CU_MEMORYTYPE_DEVICE = 0x02,
CU_MEMORYTYPE_ARRAY = 0x03,
CU_MEMORYTYPE_UNIFIED = 0x04
} CUmemorytype;
* }
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::srcDevice and ::srcPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::srcArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_HOST, ::srcHost, ::srcPitch and
* ::srcHeight specify the (host) base address of the source data, the bytes
* per row, and the height of each 2D slice of the 3D array. ::srcArray is
* ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_DEVICE, ::srcDevice, ::srcPitch and
* ::srcHeight specify the (device) base address of the source data, the bytes
* per row, and the height of each 2D slice of the 3D array. ::srcArray is
* ignored.
*
* \par
* If ::srcMemoryType is ::CU_MEMORYTYPE_ARRAY, ::srcArray specifies the
* handle of the source data. ::srcHost, ::srcDevice, ::srcPitch and
* ::srcHeight are ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_UNIFIED, ::dstDevice and ::dstPitch
* specify the (unified virtual address space) base address of the source data
* and the bytes per row to apply. ::dstArray is ignored.
* This value may be used only if unified addressing is supported in the calling
* context.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_HOST, ::dstHost and ::dstPitch
* specify the (host) base address of the destination data, the bytes per row,
* and the height of each 2D slice of the 3D array. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_DEVICE, ::dstDevice and ::dstPitch
* specify the (device) base address of the destination data, the bytes per
* row, and the height of each 2D slice of the 3D array. ::dstArray is ignored.
*
* \par
* If ::dstMemoryType is ::CU_MEMORYTYPE_ARRAY, ::dstArray specifies the
* handle of the destination data. ::dstHost, ::dstDevice, ::dstPitch and
* ::dstHeight are ignored.
*
* - ::srcXInBytes, ::srcY and ::srcZ specify the base address of the source
* data for the copy.
*
* \par
* For host pointers, the starting address is
* {@code
void* Start = (void*)((char*)srcHost+(srcZ*srcHeight+srcY)*srcPitch + srcXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr Start = srcDevice+(srcZ*srcHeight+srcY)*srcPitch+srcXInBytes;
* }
*
* \par
* For CUDA arrays, ::srcXInBytes must be evenly divisible by the array
* element size.
*
* - dstXInBytes, ::dstY and ::dstZ specify the base address of the
* destination data for the copy.
*
* \par
* For host pointers, the base address is
* {@code
void* dstStart = (void*)((char*)dstHost+(dstZ*dstHeight+dstY)*dstPitch + dstXInBytes);
* }
*
* \par
* For device pointers, the starting address is
* {@code
CUdeviceptr dstStart = dstDevice+(dstZ*dstHeight+dstY)*dstPitch+dstXInBytes;
* }
*
* \par
* For CUDA arrays, ::dstXInBytes must be evenly divisible by the array
* element size.
*
* - ::WidthInBytes, ::Height and ::Depth specify the width (in bytes), height
* and depth of the 3D copy being performed.
* - If specified, ::srcPitch must be greater than or equal to ::WidthInBytes +
* ::srcXInBytes, and ::dstPitch must be greater than or equal to
* ::WidthInBytes + dstXInBytes.
* - If specified, ::srcHeight must be greater than or equal to ::Height +
* ::srcY, and ::dstHeight must be greater than or equal to ::Height + ::dstY.
*
* \par
* ::cuMemcpy3DAsync() returns an error if any pitch is greater than the maximum
* allowed (::CU_DEVICE_ATTRIBUTE_MAX_PITCH).
*
* The ::srcLOD and ::dstLOD members of the ::CUDA_MEMCPY3D structure must be
* set to 0.
*
* @param pCopy - Parameters for the memory copy
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemcpy3DAsync(@Const CUDA_MEMCPY3D pCopy, CUstream_st hStream);
// #endif /* __CUDA_API_VERSION >= 3020 */
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Copies memory between contexts asynchronously.
*
* Perform a 3D memory copy according to the parameters specified in
* \p pCopy. See the definition of the ::CUDA_MEMCPY3D_PEER structure
* for documentation of its parameters.
*
* @param pCopy - Parameters for the memory copy
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cuMemcpyDtoD, ::cuMemcpyPeer, ::cuMemcpyDtoDAsync, ::cuMemcpyPeerAsync,
* ::cuMemcpy3DPeerAsync
*/
public static native @Cast("CUresult") int cuMemcpy3DPeerAsync(@Const CUDA_MEMCPY3D_PEER pCopy, CUstream_st hStream);
// #endif /* __CUDA_API_VERSION >= 4000 */
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Initializes device memory
*
* Sets the memory range of \p N 8-bit values to the specified value
* \p uc.
*
* @param dstDevice - Destination device pointer
* @param uc - Value to set
* @param N - Number of elements
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD8(@Cast("CUdeviceptr") long dstDevice, @Cast("unsigned char") byte uc, @Cast("size_t") long N);
/**
* \brief Initializes device memory
*
* Sets the memory range of \p N 16-bit values to the specified value
* \p us. The \p dstDevice pointer must be two byte aligned.
*
* @param dstDevice - Destination device pointer
* @param us - Value to set
* @param N - Number of elements
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD16(@Cast("CUdeviceptr") long dstDevice, @Cast("unsigned short") short us, @Cast("size_t") long N);
/**
* \brief Initializes device memory
*
* Sets the memory range of \p N 32-bit values to the specified value
* \p ui. The \p dstDevice pointer must be four byte aligned.
*
* @param dstDevice - Destination device pointer
* @param ui - Value to set
* @param N - Number of elements
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD32(@Cast("CUdeviceptr") long dstDevice, @Cast("unsigned int") int ui, @Cast("size_t") long N);
/**
* \brief Initializes device memory
*
* Sets the 2D memory range of \p Width 8-bit values to the specified value
* \p uc. \p Height specifies the number of rows to set, and \p dstPitch
* specifies the number of bytes between each row. This function performs
* fastest when the pitch is one that has been passed back by
* ::cuMemAllocPitch().
*
* @param dstDevice - Destination device pointer
* @param dstPitch - Pitch of destination device pointer
* @param uc - Value to set
* @param Width - Width of row
* @param Height - Number of rows
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD2D8(@Cast("CUdeviceptr") long dstDevice, @Cast("size_t") long dstPitch, @Cast("unsigned char") byte uc, @Cast("size_t") long Width, @Cast("size_t") long Height);
/**
* \brief Initializes device memory
*
* Sets the 2D memory range of \p Width 16-bit values to the specified value
* \p us. \p Height specifies the number of rows to set, and \p dstPitch
* specifies the number of bytes between each row. The \p dstDevice pointer
* and \p dstPitch offset must be two byte aligned. This function performs
* fastest when the pitch is one that has been passed back by
* ::cuMemAllocPitch().
*
* @param dstDevice - Destination device pointer
* @param dstPitch - Pitch of destination device pointer
* @param us - Value to set
* @param Width - Width of row
* @param Height - Number of rows
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD2D16(@Cast("CUdeviceptr") long dstDevice, @Cast("size_t") long dstPitch, @Cast("unsigned short") short us, @Cast("size_t") long Width, @Cast("size_t") long Height);
/**
* \brief Initializes device memory
*
* Sets the 2D memory range of \p Width 32-bit values to the specified value
* \p ui. \p Height specifies the number of rows to set, and \p dstPitch
* specifies the number of bytes between each row. The \p dstDevice pointer
* and \p dstPitch offset must be four byte aligned. This function performs
* fastest when the pitch is one that has been passed back by
* ::cuMemAllocPitch().
*
* @param dstDevice - Destination device pointer
* @param dstPitch - Pitch of destination device pointer
* @param ui - Value to set
* @param Width - Width of row
* @param Height - Number of rows
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD2D32(@Cast("CUdeviceptr") long dstDevice, @Cast("size_t") long dstPitch, @Cast("unsigned int") int ui, @Cast("size_t") long Width, @Cast("size_t") long Height);
/**
* \brief Sets device memory
*
* Sets the memory range of \p N 8-bit values to the specified value
* \p uc.
*
* @param dstDevice - Destination device pointer
* @param uc - Value to set
* @param N - Number of elements
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD8Async(@Cast("CUdeviceptr") long dstDevice, @Cast("unsigned char") byte uc, @Cast("size_t") long N, CUstream_st hStream);
/**
* \brief Sets device memory
*
* Sets the memory range of \p N 16-bit values to the specified value
* \p us. The \p dstDevice pointer must be two byte aligned.
*
* @param dstDevice - Destination device pointer
* @param us - Value to set
* @param N - Number of elements
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD16Async(@Cast("CUdeviceptr") long dstDevice, @Cast("unsigned short") short us, @Cast("size_t") long N, CUstream_st hStream);
/**
* \brief Sets device memory
*
* Sets the memory range of \p N 32-bit values to the specified value
* \p ui. The \p dstDevice pointer must be four byte aligned.
*
* @param dstDevice - Destination device pointer
* @param ui - Value to set
* @param N - Number of elements
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuMemsetD32Async(@Cast("CUdeviceptr") long dstDevice, @Cast("unsigned int") int ui, @Cast("size_t") long N, CUstream_st hStream);
/**
* \brief Sets device memory
*
* Sets the 2D memory range of \p Width 8-bit values to the specified value
* \p uc. \p Height specifies the number of rows to set, and \p dstPitch
* specifies the number of bytes between each row. This function performs
* fastest when the pitch is one that has been passed back by
* ::cuMemAllocPitch().
*
* @param dstDevice - Destination device pointer
* @param dstPitch - Pitch of destination device pointer
* @param uc - Value to set
* @param Width - Width of row
* @param Height - Number of rows
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD2D8Async(@Cast("CUdeviceptr") long dstDevice, @Cast("size_t") long dstPitch, @Cast("unsigned char") byte uc, @Cast("size_t") long Width, @Cast("size_t") long Height, CUstream_st hStream);
/**
* \brief Sets device memory
*
* Sets the 2D memory range of \p Width 16-bit values to the specified value
* \p us. \p Height specifies the number of rows to set, and \p dstPitch
* specifies the number of bytes between each row. The \p dstDevice pointer
* and \p dstPitch offset must be two byte aligned. This function performs
* fastest when the pitch is one that has been passed back by
* ::cuMemAllocPitch().
*
* @param dstDevice - Destination device pointer
* @param dstPitch - Pitch of destination device pointer
* @param us - Value to set
* @param Width - Width of row
* @param Height - Number of rows
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D32, ::cuMemsetD2D32Async,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD2D16Async(@Cast("CUdeviceptr") long dstDevice, @Cast("size_t") long dstPitch, @Cast("unsigned short") short us, @Cast("size_t") long Width, @Cast("size_t") long Height, CUstream_st hStream);
/**
* \brief Sets device memory
*
* Sets the 2D memory range of \p Width 32-bit values to the specified value
* \p ui. \p Height specifies the number of rows to set, and \p dstPitch
* specifies the number of bytes between each row. The \p dstDevice pointer
* and \p dstPitch offset must be four byte aligned. This function performs
* fastest when the pitch is one that has been passed back by
* ::cuMemAllocPitch().
*
* @param dstDevice - Destination device pointer
* @param dstPitch - Pitch of destination device pointer
* @param ui - Value to set
* @param Width - Width of row
* @param Height - Number of rows
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D8Async,
* ::cuMemsetD2D16, ::cuMemsetD2D16Async, ::cuMemsetD2D32,
* ::cuMemsetD8, ::cuMemsetD8Async, ::cuMemsetD16, ::cuMemsetD16Async,
* ::cuMemsetD32, ::cuMemsetD32Async
*/
public static native @Cast("CUresult") int cuMemsetD2D32Async(@Cast("CUdeviceptr") long dstDevice, @Cast("size_t") long dstPitch, @Cast("unsigned int") int ui, @Cast("size_t") long Width, @Cast("size_t") long Height, CUstream_st hStream);
/**
* \brief Creates a 1D or 2D CUDA array
*
* Creates a CUDA array according to the ::CUDA_ARRAY_DESCRIPTOR structure
* \p pAllocateArray and returns a handle to the new CUDA array in \p *pHandle.
* The ::CUDA_ARRAY_DESCRIPTOR is defined as:
*
* {@code
typedef struct {
unsigned int Width;
unsigned int Height;
CUarray_format Format;
unsigned int NumChannels;
} CUDA_ARRAY_DESCRIPTOR;
* }
* where:
*
* - \p Width, and \p Height are the width, and height of the CUDA array (in
* elements); the CUDA array is one-dimensional if height is 0, two-dimensional
* otherwise;
* - ::Format specifies the format of the elements; ::CUarray_format is
* defined as:
* {@code
typedef enum CUarray_format_enum {
CU_AD_FORMAT_UNSIGNED_INT8 = 0x01,
CU_AD_FORMAT_UNSIGNED_INT16 = 0x02,
CU_AD_FORMAT_UNSIGNED_INT32 = 0x03,
CU_AD_FORMAT_SIGNED_INT8 = 0x08,
CU_AD_FORMAT_SIGNED_INT16 = 0x09,
CU_AD_FORMAT_SIGNED_INT32 = 0x0a,
CU_AD_FORMAT_HALF = 0x10,
CU_AD_FORMAT_FLOAT = 0x20
} CUarray_format;
* }
* - \p NumChannels specifies the number of packed components per CUDA array
* element; it may be 1, 2, or 4;
*
* Here are examples of CUDA array descriptions:
*
* Description for a CUDA array of 2048 floats:
* {@code
CUDA_ARRAY_DESCRIPTOR desc;
desc.Format = CU_AD_FORMAT_FLOAT;
desc.NumChannels = 1;
desc.Width = 2048;
desc.Height = 1;
* }
*
* Description for a 64 x 64 CUDA array of floats:
* {@code
CUDA_ARRAY_DESCRIPTOR desc;
desc.Format = CU_AD_FORMAT_FLOAT;
desc.NumChannels = 1;
desc.Width = 64;
desc.Height = 64;
* }
*
* Description for a \p width x \p height CUDA array of 64-bit, 4x16-bit
* float16's:
* {@code
CUDA_ARRAY_DESCRIPTOR desc;
desc.FormatFlags = CU_AD_FORMAT_HALF;
desc.NumChannels = 4;
desc.Width = width;
desc.Height = height;
* }
*
* Description for a \p width x \p height CUDA array of 16-bit elements, each
* of which is two 8-bit unsigned chars:
* {@code
CUDA_ARRAY_DESCRIPTOR arrayDesc;
desc.FormatFlags = CU_AD_FORMAT_UNSIGNED_INT8;
desc.NumChannels = 2;
desc.Width = width;
desc.Height = height;
* }
*
* @param pHandle - Returned array
* @param pAllocateArray - Array descriptor
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuArrayCreate(@ByPtrPtr CUarray_st pHandle, @Const CUDA_ARRAY_DESCRIPTOR pAllocateArray);
/**
* \brief Get a 1D or 2D CUDA array descriptor
*
* Returns in \p *pArrayDescriptor a descriptor containing information on the
* format and dimensions of the CUDA array \p hArray. It is useful for
* subroutines that have been passed a CUDA array, but need to know the CUDA
* array parameters for validation or other purposes.
*
* @param pArrayDescriptor - Returned array descriptor
* @param hArray - Array to get descriptor of
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuArrayGetDescriptor(CUDA_ARRAY_DESCRIPTOR pArrayDescriptor, CUarray_st hArray);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Destroys a CUDA array
*
* Destroys the CUDA array \p hArray.
*
* @param hArray - Array to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_ARRAY_IS_MAPPED
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuArrayDestroy(CUarray_st hArray);
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Creates a 3D CUDA array
*
* Creates a CUDA array according to the ::CUDA_ARRAY3D_DESCRIPTOR structure
* \p pAllocateArray and returns a handle to the new CUDA array in \p *pHandle.
* The ::CUDA_ARRAY3D_DESCRIPTOR is defined as:
*
* {@code
typedef struct {
unsigned int Width;
unsigned int Height;
unsigned int Depth;
CUarray_format Format;
unsigned int NumChannels;
unsigned int Flags;
} CUDA_ARRAY3D_DESCRIPTOR;
* }
* where:
*
* - \p Width, \p Height, and \p Depth are the width, height, and depth of the
* CUDA array (in elements); the following types of CUDA arrays can be allocated:
* - A 1D array is allocated if \p Height and \p Depth extents are both zero.
* - A 2D array is allocated if only \p Depth extent is zero.
* - A 3D array is allocated if all three extents are non-zero.
* - A 1D layered CUDA array is allocated if only \p Height is zero and the
* ::CUDA_ARRAY3D_LAYERED flag is set. Each layer is a 1D array. The number
* of layers is determined by the depth extent.
* - A 2D layered CUDA array is allocated if all three extents are non-zero and
* the ::CUDA_ARRAY3D_LAYERED flag is set. Each layer is a 2D array. The number
* of layers is determined by the depth extent.
* - A cubemap CUDA array is allocated if all three extents are non-zero and the
* ::CUDA_ARRAY3D_CUBEMAP flag is set. \p Width must be equal to \p Height, and
* \p Depth must be six. A cubemap is a special type of 2D layered CUDA array,
* where the six layers represent the six faces of a cube. The order of the six
* layers in memory is the same as that listed in ::CUarray_cubemap_face.
* - A cubemap layered CUDA array is allocated if all three extents are non-zero,
* and both, ::CUDA_ARRAY3D_CUBEMAP and ::CUDA_ARRAY3D_LAYERED flags are set.
* \p Width must be equal to \p Height, and \p Depth must be a multiple of six.
* A cubemap layered CUDA array is a special type of 2D layered CUDA array that
* consists of a collection of cubemaps. The first six layers represent the first
* cubemap, the next six layers form the second cubemap, and so on.
*
* - ::Format specifies the format of the elements; ::CUarray_format is
* defined as:
* {@code
typedef enum CUarray_format_enum {
CU_AD_FORMAT_UNSIGNED_INT8 = 0x01,
CU_AD_FORMAT_UNSIGNED_INT16 = 0x02,
CU_AD_FORMAT_UNSIGNED_INT32 = 0x03,
CU_AD_FORMAT_SIGNED_INT8 = 0x08,
CU_AD_FORMAT_SIGNED_INT16 = 0x09,
CU_AD_FORMAT_SIGNED_INT32 = 0x0a,
CU_AD_FORMAT_HALF = 0x10,
CU_AD_FORMAT_FLOAT = 0x20
} CUarray_format;
* }
*
* - \p NumChannels specifies the number of packed components per CUDA array
* element; it may be 1, 2, or 4;
*
* - ::Flags may be set to
* - ::CUDA_ARRAY3D_LAYERED to enable creation of layered CUDA arrays. If this flag is set,
* \p Depth specifies the number of layers, not the depth of a 3D array.
* - ::CUDA_ARRAY3D_SURFACE_LDST to enable surface references to be bound to the CUDA array.
* If this flag is not set, ::cuSurfRefSetArray will fail when attempting to bind the CUDA array
* to a surface reference.
* - ::CUDA_ARRAY3D_CUBEMAP to enable creation of cubemaps. If this flag is set, \p Width must be
* equal to \p Height, and \p Depth must be six. If the ::CUDA_ARRAY3D_LAYERED flag is also set,
* then \p Depth must be a multiple of six.
* - ::CUDA_ARRAY3D_TEXTURE_GATHER to indicate that the CUDA array will be used for texture gather.
* Texture gather can only be performed on 2D CUDA arrays.
*
* \p Width, \p Height and \p Depth must meet certain size requirements as listed in the following table.
* All values are specified in elements. Note that for brevity's sake, the full name of the device attribute
* is not specified. For ex., TEXTURE1D_WIDTH refers to the device attribute
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_WIDTH.
*
* Note that 2D CUDA arrays have different size requirements if the ::CUDA_ARRAY3D_TEXTURE_GATHER flag
* is set. \p Width and \p Height must not be greater than ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_WIDTH
* and ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_GATHER_HEIGHT respectively, in that case.
*
*
* CUDA array type
* Valid extents that must always be met
{(width range in elements), (height range),
* (depth range)}
* Valid extents with CUDA_ARRAY3D_SURFACE_LDST set
* {(width range in elements), (height range), (depth range)} 1D
* { (1,TEXTURE1D_WIDTH), 0, 0 }
* { (1,SURFACE1D_WIDTH), 0, 0 } 2D
* { (1,TEXTURE2D_WIDTH), (1,TEXTURE2D_HEIGHT), 0 }
* { (1,SURFACE2D_WIDTH), (1,SURFACE2D_HEIGHT), 0 } 3D
* { (1,TEXTURE3D_WIDTH), (1,TEXTURE3D_HEIGHT), (1,TEXTURE3D_DEPTH) }
*
OR
{ (1,TEXTURE3D_WIDTH_ALTERNATE), (1,TEXTURE3D_HEIGHT_ALTERNATE),
* (1,TEXTURE3D_DEPTH_ALTERNATE) }
* { (1,SURFACE3D_WIDTH), (1,SURFACE3D_HEIGHT),
* (1,SURFACE3D_DEPTH) } 1D Layered
* { (1,TEXTURE1D_LAYERED_WIDTH), 0,
* (1,TEXTURE1D_LAYERED_LAYERS) }
* { (1,SURFACE1D_LAYERED_WIDTH), 0,
* (1,SURFACE1D_LAYERED_LAYERS) } 2D Layered
* { (1,TEXTURE2D_LAYERED_WIDTH), (1,TEXTURE2D_LAYERED_HEIGHT),
* (1,TEXTURE2D_LAYERED_LAYERS) }
* { (1,SURFACE2D_LAYERED_WIDTH), (1,SURFACE2D_LAYERED_HEIGHT),
* (1,SURFACE2D_LAYERED_LAYERS) } Cubemap
* { (1,TEXTURECUBEMAP_WIDTH), (1,TEXTURECUBEMAP_WIDTH), 6 }
* { (1,SURFACECUBEMAP_WIDTH),
* (1,SURFACECUBEMAP_WIDTH), 6 } Cubemap Layered
* { (1,TEXTURECUBEMAP_LAYERED_WIDTH), (1,TEXTURECUBEMAP_LAYERED_WIDTH),
* (1,TEXTURECUBEMAP_LAYERED_LAYERS) }
* { (1,SURFACECUBEMAP_LAYERED_WIDTH), (1,SURFACECUBEMAP_LAYERED_WIDTH),
* (1,SURFACECUBEMAP_LAYERED_LAYERS) }
*
* Here are examples of CUDA array descriptions:
*
* Description for a CUDA array of 2048 floats:
* {@code
CUDA_ARRAY3D_DESCRIPTOR desc;
desc.Format = CU_AD_FORMAT_FLOAT;
desc.NumChannels = 1;
desc.Width = 2048;
desc.Height = 0;
desc.Depth = 0;
* }
*
* Description for a 64 x 64 CUDA array of floats:
* {@code
CUDA_ARRAY3D_DESCRIPTOR desc;
desc.Format = CU_AD_FORMAT_FLOAT;
desc.NumChannels = 1;
desc.Width = 64;
desc.Height = 64;
desc.Depth = 0;
* }
*
* Description for a \p width x \p height x \p depth CUDA array of 64-bit,
* 4x16-bit float16's:
* {@code
CUDA_ARRAY3D_DESCRIPTOR desc;
desc.FormatFlags = CU_AD_FORMAT_HALF;
desc.NumChannels = 4;
desc.Width = width;
desc.Height = height;
desc.Depth = depth;
* }
*
* @param pHandle - Returned array
* @param pAllocateArray - 3D array descriptor
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa ::cuArray3DGetDescriptor, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuArray3DCreate(@ByPtrPtr CUarray_st pHandle, @Const CUDA_ARRAY3D_DESCRIPTOR pAllocateArray);
/**
* \brief Get a 3D CUDA array descriptor
*
* Returns in \p *pArrayDescriptor a descriptor containing information on the
* format and dimensions of the CUDA array \p hArray. It is useful for
* subroutines that have been passed a CUDA array, but need to know the CUDA
* array parameters for validation or other purposes.
*
* This function may be called on 1D and 2D arrays, in which case the \p Height
* and/or \p Depth members of the descriptor struct will be set to 0.
*
* @param pArrayDescriptor - Returned 3D array descriptor
* @param hArray - 3D array to get descriptor of
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE
* \notefnerr
*
* \sa ::cuArray3DCreate, ::cuArrayCreate,
* ::cuArrayDestroy, ::cuArrayGetDescriptor, ::cuMemAlloc, ::cuMemAllocHost,
* ::cuMemAllocPitch, ::cuMemcpy2D, ::cuMemcpy2DAsync, ::cuMemcpy2DUnaligned,
* ::cuMemcpy3D, ::cuMemcpy3DAsync, ::cuMemcpyAtoA, ::cuMemcpyAtoD,
* ::cuMemcpyAtoH, ::cuMemcpyAtoHAsync, ::cuMemcpyDtoA, ::cuMemcpyDtoD, ::cuMemcpyDtoDAsync,
* ::cuMemcpyDtoH, ::cuMemcpyDtoHAsync, ::cuMemcpyHtoA, ::cuMemcpyHtoAAsync,
* ::cuMemcpyHtoD, ::cuMemcpyHtoDAsync, ::cuMemFree, ::cuMemFreeHost,
* ::cuMemGetAddressRange, ::cuMemGetInfo, ::cuMemHostAlloc,
* ::cuMemHostGetDevicePointer, ::cuMemsetD2D8, ::cuMemsetD2D16,
* ::cuMemsetD2D32, ::cuMemsetD8, ::cuMemsetD16, ::cuMemsetD32
*/
public static native @Cast("CUresult") int cuArray3DGetDescriptor(CUDA_ARRAY3D_DESCRIPTOR pArrayDescriptor, CUarray_st hArray);
// #endif /* __CUDA_API_VERSION >= 3020 */
// #if __CUDA_API_VERSION >= 5000
/**
* \brief Creates a CUDA mipmapped array
*
* Creates a CUDA mipmapped array according to the ::CUDA_ARRAY3D_DESCRIPTOR structure
* \p pMipmappedArrayDesc and returns a handle to the new CUDA mipmapped array in \p *pHandle.
* \p numMipmapLevels specifies the number of mipmap levels to be allocated. This value is
* clamped to the range [1, 1 + floor(log2(max(width, height, depth)))].
*
* The ::CUDA_ARRAY3D_DESCRIPTOR is defined as:
*
* {@code
typedef struct {
unsigned int Width;
unsigned int Height;
unsigned int Depth;
CUarray_format Format;
unsigned int NumChannels;
unsigned int Flags;
} CUDA_ARRAY3D_DESCRIPTOR;
* }
* where:
*
* - \p Width, \p Height, and \p Depth are the width, height, and depth of the
* CUDA array (in elements); the following types of CUDA arrays can be allocated:
* - A 1D mipmapped array is allocated if \p Height and \p Depth extents are both zero.
* - A 2D mipmapped array is allocated if only \p Depth extent is zero.
* - A 3D mipmapped array is allocated if all three extents are non-zero.
* - A 1D layered CUDA mipmapped array is allocated if only \p Height is zero and the
* ::CUDA_ARRAY3D_LAYERED flag is set. Each layer is a 1D array. The number
* of layers is determined by the depth extent.
* - A 2D layered CUDA mipmapped array is allocated if all three extents are non-zero and
* the ::CUDA_ARRAY3D_LAYERED flag is set. Each layer is a 2D array. The number
* of layers is determined by the depth extent.
* - A cubemap CUDA mipmapped array is allocated if all three extents are non-zero and the
* ::CUDA_ARRAY3D_CUBEMAP flag is set. \p Width must be equal to \p Height, and
* \p Depth must be six. A cubemap is a special type of 2D layered CUDA array,
* where the six layers represent the six faces of a cube. The order of the six
* layers in memory is the same as that listed in ::CUarray_cubemap_face.
* - A cubemap layered CUDA mipmapped array is allocated if all three extents are non-zero,
* and both, ::CUDA_ARRAY3D_CUBEMAP and ::CUDA_ARRAY3D_LAYERED flags are set.
* \p Width must be equal to \p Height, and \p Depth must be a multiple of six.
* A cubemap layered CUDA array is a special type of 2D layered CUDA array that
* consists of a collection of cubemaps. The first six layers represent the first
* cubemap, the next six layers form the second cubemap, and so on.
*
* - ::Format specifies the format of the elements; ::CUarray_format is
* defined as:
* {@code
typedef enum CUarray_format_enum {
CU_AD_FORMAT_UNSIGNED_INT8 = 0x01,
CU_AD_FORMAT_UNSIGNED_INT16 = 0x02,
CU_AD_FORMAT_UNSIGNED_INT32 = 0x03,
CU_AD_FORMAT_SIGNED_INT8 = 0x08,
CU_AD_FORMAT_SIGNED_INT16 = 0x09,
CU_AD_FORMAT_SIGNED_INT32 = 0x0a,
CU_AD_FORMAT_HALF = 0x10,
CU_AD_FORMAT_FLOAT = 0x20
} CUarray_format;
* }
*
* - \p NumChannels specifies the number of packed components per CUDA array
* element; it may be 1, 2, or 4;
*
* - ::Flags may be set to
* - ::CUDA_ARRAY3D_LAYERED to enable creation of layered CUDA mipmapped arrays. If this flag is set,
* \p Depth specifies the number of layers, not the depth of a 3D array.
* - ::CUDA_ARRAY3D_SURFACE_LDST to enable surface references to be bound to individual mipmap levels of
* the CUDA mipmapped array. If this flag is not set, ::cuSurfRefSetArray will fail when attempting to
* bind a mipmap level of the CUDA mipmapped array to a surface reference.
* - ::CUDA_ARRAY3D_CUBEMAP to enable creation of mipmapped cubemaps. If this flag is set, \p Width must be
* equal to \p Height, and \p Depth must be six. If the ::CUDA_ARRAY3D_LAYERED flag is also set,
* then \p Depth must be a multiple of six.
* - ::CUDA_ARRAY3D_TEXTURE_GATHER to indicate that the CUDA mipmapped array will be used for texture gather.
* Texture gather can only be performed on 2D CUDA mipmapped arrays.
*
* \p Width, \p Height and \p Depth must meet certain size requirements as listed in the following table.
* All values are specified in elements. Note that for brevity's sake, the full name of the device attribute
* is not specified. For ex., TEXTURE1D_MIPMAPPED_WIDTH refers to the device attribute
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_MIPMAPPED_WIDTH.
*
*
* CUDA array type
* Valid extents that must always be met
{(width range in elements), (height range),
* (depth range)} 1D
* { (1,TEXTURE1D_MIPMAPPED_WIDTH), 0, 0 } 2D
* { (1,TEXTURE2D_MIPMAPPED_WIDTH), (1,TEXTURE2D_MIPMAPPED_HEIGHT), 0 } 3D
* { (1,TEXTURE3D_WIDTH), (1,TEXTURE3D_HEIGHT), (1,TEXTURE3D_DEPTH) }
*
OR
{ (1,TEXTURE3D_WIDTH_ALTERNATE), (1,TEXTURE3D_HEIGHT_ALTERNATE),
* (1,TEXTURE3D_DEPTH_ALTERNATE) } 1D Layered
* { (1,TEXTURE1D_LAYERED_WIDTH), 0,
* (1,TEXTURE1D_LAYERED_LAYERS) } 2D Layered
* { (1,TEXTURE2D_LAYERED_WIDTH), (1,TEXTURE2D_LAYERED_HEIGHT),
* (1,TEXTURE2D_LAYERED_LAYERS) } Cubemap
* { (1,TEXTURECUBEMAP_WIDTH), (1,TEXTURECUBEMAP_WIDTH), 6 } Cubemap Layered
* { (1,TEXTURECUBEMAP_LAYERED_WIDTH), (1,TEXTURECUBEMAP_LAYERED_WIDTH),
* (1,TEXTURECUBEMAP_LAYERED_LAYERS) }
*
*
* @param pHandle - Returned mipmapped array
* @param pMipmappedArrayDesc - mipmapped array descriptor
* @param numMipmapLevels - Number of mipmap levels
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa ::cuMipmappedArrayDestroy, ::cuMipmappedArrayGetLevel, ::cuArrayCreate,
*/
public static native @Cast("CUresult") int cuMipmappedArrayCreate(@ByPtrPtr CUmipmappedArray_st pHandle, @Const CUDA_ARRAY3D_DESCRIPTOR pMipmappedArrayDesc, @Cast("unsigned int") int numMipmapLevels);
/**
* \brief Gets a mipmap level of a CUDA mipmapped array
*
* Returns in \p *pLevelArray a CUDA array that represents a single mipmap level
* of the CUDA mipmapped array \p hMipmappedArray.
*
* If \p level is greater than the maximum number of levels in this mipmapped array,
* ::CUDA_ERROR_INVALID_VALUE is returned.
*
* @param pLevelArray - Returned mipmap level CUDA array
* @param hMipmappedArray - CUDA mipmapped array
* @param level - Mipmap level
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE
* \notefnerr
*
* \sa ::cuMipmappedArrayCreate, ::cuMipmappedArrayDestroy, ::cuArrayCreate,
*/
public static native @Cast("CUresult") int cuMipmappedArrayGetLevel(@ByPtrPtr CUarray_st pLevelArray, CUmipmappedArray_st hMipmappedArray, @Cast("unsigned int") int level);
/**
* \brief Destroys a CUDA mipmapped array
*
* Destroys the CUDA mipmapped array \p hMipmappedArray.
*
* @param hMipmappedArray - Mipmapped array to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_ARRAY_IS_MAPPED
* \notefnerr
*
* \sa ::cuMipmappedArrayCreate, ::cuMipmappedArrayGetLevel, ::cuArrayCreate,
*/
public static native @Cast("CUresult") int cuMipmappedArrayDestroy(CUmipmappedArray_st hMipmappedArray);
// #endif /* __CUDA_API_VERSION >= 5000 */
/** \} */ /* END CUDA_MEM */
/**
* \defgroup CUDA_UNIFIED Unified Addressing
*
* ___MANBRIEF___ unified addressing functions of the low-level CUDA driver
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the unified addressing functions of the
* low-level CUDA driver application programming interface.
*
* \{
*
* \section CUDA_UNIFIED_overview Overview
*
* CUDA devices can share a unified address space with the host.
* For these devices there is no distinction between a device
* pointer and a host pointer -- the same pointer value may be
* used to access memory from the host program and from a kernel
* running on the device (with exceptions enumerated below).
*
* \section CUDA_UNIFIED_support Supported Platforms
*
* Whether or not a device supports unified addressing may be
* queried by calling ::cuDeviceGetAttribute() with the device
* attribute ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING.
*
* Unified addressing is automatically enabled in 64-bit processes
* on devices with compute capability greater than or equal to 2.0.
*
* \section CUDA_UNIFIED_lookup Looking Up Information from Pointer Values
*
* It is possible to look up information about the memory which backs a
* pointer value. For instance, one may want to know if a pointer points
* to host or device memory. As another example, in the case of device
* memory, one may want to know on which CUDA device the memory
* resides. These properties may be queried using the function
* ::cuPointerGetAttribute()
*
* Since pointers are unique, it is not necessary to specify information
* about the pointers specified to the various copy functions in the
* CUDA API. The function ::cuMemcpy() may be used to perform a copy
* between two pointers, ignoring whether they point to host or device
* memory (making ::cuMemcpyHtoD(), ::cuMemcpyDtoD(), and ::cuMemcpyDtoH()
* unnecessary for devices supporting unified addressing). For
* multidimensional copies, the memory type ::CU_MEMORYTYPE_UNIFIED may be
* used to specify that the CUDA driver should infer the location of the
* pointer from its value.
*
* \section CUDA_UNIFIED_automaphost Automatic Mapping of Host Allocated Host Memory
*
* All host memory allocated in all contexts using ::cuMemAllocHost() and
* ::cuMemHostAlloc() is always directly accessible from all contexts on
* all devices that support unified addressing. This is the case regardless
* of whether or not the flags ::CU_MEMHOSTALLOC_PORTABLE and
* ::CU_MEMHOSTALLOC_DEVICEMAP are specified.
*
* The pointer value through which allocated host memory may be accessed
* in kernels on all devices that support unified addressing is the same
* as the pointer value through which that memory is accessed on the host,
* so it is not necessary to call ::cuMemHostGetDevicePointer() to get the device
* pointer for these allocations.
*
* Note that this is not the case for memory allocated using the flag
* ::CU_MEMHOSTALLOC_WRITECOMBINED, as discussed below.
*
* \section CUDA_UNIFIED_autopeerregister Automatic Registration of Peer Memory
*
* Upon enabling direct access from a context that supports unified addressing
* to another peer context that supports unified addressing using
* ::cuCtxEnablePeerAccess() all memory allocated in the peer context using
* ::cuMemAlloc() and ::cuMemAllocPitch() will immediately be accessible
* by the current context. The device pointer value through
* which any peer memory may be accessed in the current context
* is the same pointer value through which that memory may be
* accessed in the peer context.
*
* \section CUDA_UNIFIED_exceptions Exceptions, Disjoint Addressing
*
* Not all memory may be accessed on devices through the same pointer
* value through which they are accessed on the host. These exceptions
* are host memory registered using ::cuMemHostRegister() and host memory
* allocated using the flag ::CU_MEMHOSTALLOC_WRITECOMBINED. For these
* exceptions, there exists a distinct host and device address for the
* memory. The device address is guaranteed to not overlap any valid host
* pointer range and is guaranteed to have the same value across all
* contexts that support unified addressing.
*
* This device address may be queried using ::cuMemHostGetDevicePointer()
* when a context using unified addressing is current. Either the host
* or the unified device pointer value may be used to refer to this memory
* through ::cuMemcpy() and similar functions using the
* ::CU_MEMORYTYPE_UNIFIED memory type.
*
*/
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Returns information about a pointer
*
* The supported attributes are:
*
* - ::CU_POINTER_ATTRIBUTE_CONTEXT:
*
* Returns in \p *data the ::CUcontext in which \p ptr was allocated or
* registered.
* The type of \p data must be ::CUcontext *.
*
* If \p ptr was not allocated by, mapped by, or registered with
* a ::CUcontext which uses unified virtual addressing then
* ::CUDA_ERROR_INVALID_VALUE is returned.
*
* - ::CU_POINTER_ATTRIBUTE_MEMORY_TYPE:
*
* Returns in \p *data the physical memory type of the memory that
* \p ptr addresses as a ::CUmemorytype enumerated value.
* The type of \p data must be unsigned int.
*
* If \p ptr addresses device memory then \p *data is set to
* ::CU_MEMORYTYPE_DEVICE. The particular ::CUdevice on which the
* memory resides is the ::CUdevice of the ::CUcontext returned by the
* ::CU_POINTER_ATTRIBUTE_CONTEXT attribute of \p ptr.
*
* If \p ptr addresses host memory then \p *data is set to
* ::CU_MEMORYTYPE_HOST.
*
* If \p ptr was not allocated by, mapped by, or registered with
* a ::CUcontext which uses unified virtual addressing then
* ::CUDA_ERROR_INVALID_VALUE is returned.
*
* If the current ::CUcontext does not support unified virtual
* addressing then ::CUDA_ERROR_INVALID_CONTEXT is returned.
*
* - ::CU_POINTER_ATTRIBUTE_DEVICE_POINTER:
*
* Returns in \p *data the device pointer value through which
* \p ptr may be accessed by kernels running in the current
* ::CUcontext.
* The type of \p data must be CUdeviceptr *.
*
* If there exists no device pointer value through which
* kernels running in the current ::CUcontext may access
* \p ptr then ::CUDA_ERROR_INVALID_VALUE is returned.
*
* If there is no current ::CUcontext then
* ::CUDA_ERROR_INVALID_CONTEXT is returned.
*
* Except in the exceptional disjoint addressing cases discussed
* below, the value returned in \p *data will equal the input
* value \p ptr.
*
* - ::CU_POINTER_ATTRIBUTE_HOST_POINTER:
*
* Returns in \p *data the host pointer value through which
* \p ptr may be accessed by by the host program.
* The type of \p data must be void **.
* If there exists no host pointer value through which
* the host program may directly access \p ptr then
* ::CUDA_ERROR_INVALID_VALUE is returned.
*
* Except in the exceptional disjoint addressing cases discussed
* below, the value returned in \p *data will equal the input
* value \p ptr.
*
* - ::CU_POINTER_ATTRIBUTE_P2P_TOKENS:
*
* Returns in \p *data two tokens for use with the nv-p2p.h Linux
* kernel interface. \p data must be a struct of type
* CUDA_POINTER_ATTRIBUTE_P2P_TOKENS.
*
* \p ptr must be a pointer to memory obtained from :cuMemAlloc().
* Note that p2pToken and vaSpaceToken are only valid for the
* lifetime of the source allocation. A subsequent allocation at
* the same address may return completely different tokens.
* Querying this attribute has a side effect of setting the attribute
* ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS for the region of memory that
* \p ptr points to.
*
* - ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS:
*
* A boolean attribute which when set, ensures that synchronous memory operations
* initiated on the region of memory that \p ptr points to will always synchronize.
* See further documentation in the section titled "API synchronization behavior"
* to learn more about cases when synchronous memory operations can
* exhibit asynchronous behavior.
*
* - ::CU_POINTER_ATTRIBUTE_BUFFER_ID:
*
* Returns in \p *data a buffer ID which is guaranteed to be unique within the process.
* \p data must point to an unsigned long long.
*
* \p ptr must be a pointer to memory obtained from a CUDA memory allocation API.
* Every memory allocation from any of the CUDA memory allocation APIs will
* have a unique ID over a process lifetime. Subsequent allocations do not reuse IDs
* from previous freed allocations. IDs are only unique within a single process.
*
*
* - ::CU_POINTER_ATTRIBUTE_IS_MANAGED:
*
* Returns in \p *data a boolean that indicates whether the pointer points to
* managed memory or not.
*
* \par
*
* Note that for most allocations in the unified virtual address space
* the host and device pointer for accessing the allocation will be the
* same. The exceptions to this are
* - user memory registered using ::cuMemHostRegister
* - host memory allocated using ::cuMemHostAlloc with the
* ::CU_MEMHOSTALLOC_WRITECOMBINED flag
* For these types of allocation there will exist separate, disjoint host
* and device addresses for accessing the allocation. In particular
* - The host address will correspond to an invalid unmapped device address
* (which will result in an exception if accessed from the device)
* - The device address will correspond to an invalid unmapped host address
* (which will result in an exception if accessed from the host).
* For these types of allocations, querying ::CU_POINTER_ATTRIBUTE_HOST_POINTER
* and ::CU_POINTER_ATTRIBUTE_DEVICE_POINTER may be used to retrieve the host
* and device addresses from either address.
*
* @param data - Returned pointer attribute value
* @param attribute - Pointer attribute to query
* @param ptr - Pointer
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa cuPointerSetAttribute,
* ::cuMemAlloc,
* ::cuMemFree,
* ::cuMemAllocHost,
* ::cuMemFreeHost,
* ::cuMemHostAlloc,
* ::cuMemHostRegister,
* ::cuMemHostUnregister
*/
public static native @Cast("CUresult") int cuPointerGetAttribute(Pointer data, @Cast("CUpointer_attribute") int attribute, @Cast("CUdeviceptr") long ptr);
// #endif /* __CUDA_API_VERSION >= 4000 */
// #if __CUDA_API_VERSION >= 6000
/**
* \brief Set attributes on a previously allocated memory region
*
* The supported attributes are:
*
* - ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS:
*
* A boolean attribute that can either be set (1) or unset (0). When set,
* the region of memory that \p ptr points to is guaranteed to always synchronize
* memory operations that are synchronous. If there are some previously initiated
* synchronous memory operations that are pending when this attribute is set, the
* function does not return until those memory operations are complete.
* See further documentation in the section titled "API synchronization behavior"
* to learn more about cases when synchronous memory operations can
* exhibit asynchronous behavior.
* \p value will be considered as a pointer to an unsigned integer to which this attribute is to be set.
*
* @param value - Pointer to memory containing the value to be set
* @param attribute - Pointer attribute to set
* @param ptr - Pointer to a memory region allocated using CUDA memory allocation APIs
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa ::cuPointerGetAttribute,
* ::cuPointerGetAttributes,
* ::cuMemAlloc,
* ::cuMemFree,
* ::cuMemAllocHost,
* ::cuMemFreeHost,
* ::cuMemHostAlloc,
* ::cuMemHostRegister,
* ::cuMemHostUnregister
*/
public static native @Cast("CUresult") int cuPointerSetAttribute(@Const Pointer value, @Cast("CUpointer_attribute") int attribute, @Cast("CUdeviceptr") long ptr);
// #endif /* __CUDA_API_VERSION >= 6000 */
// #if __CUDA_API_VERSION >= 7000
/**
* \brief Returns information about a pointer.
*
* The supported attributes are (refer to ::cuPointerGetAttribute for attribute descriptions and restrictions):
*
* - ::CU_POINTER_ATTRIBUTE_CONTEXT
* - ::CU_POINTER_ATTRIBUTE_MEMORY_TYPE
* - ::CU_POINTER_ATTRIBUTE_DEVICE_POINTER
* - ::CU_POINTER_ATTRIBUTE_HOST_POINTER
* - ::CU_POINTER_ATTRIBUTE_SYNC_MEMOPS
* - ::CU_POINTER_ATTRIBUTE_BUFFER_ID
* - ::CU_POINTER_ATTRIBUTE_IS_MANAGED
*
* @param numAttributes - Number of attributes to query
* @param attributes - An array of attributes to query
* (numAttributes and the number of attributes in this array should match)
* @param data - A two-dimensional array containing pointers to memory
* locations where the result of each attribute query will be written to.
* @param ptr - Pointer to query
*
* Unlike ::cuPointerGetAttribute, this function will not return an error when the \p ptr
* encountered is not a valid CUDA pointer. Instead, the attributes are assigned default NULL values
* and CUDA_SUCCESS is returned.
*
* If \p ptr was not allocated by, mapped by, or registered with a ::CUcontext which uses UVA
* (Unified Virtual Addressing), ::CUDA_ERROR_INVALID_CONTEXT is returned.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa ::cuPointerGetAttribute,
* ::cuPointerSetAttribute
*/
public static native @Cast("CUresult") int cuPointerGetAttributes(@Cast("unsigned int") int numAttributes, @Cast("CUpointer_attribute*") IntPointer attributes, @Cast("void**") PointerPointer data, @Cast("CUdeviceptr") long ptr);
public static native @Cast("CUresult") int cuPointerGetAttributes(@Cast("unsigned int") int numAttributes, @Cast("CUpointer_attribute*") IntPointer attributes, @Cast("void**") @ByPtrPtr Pointer data, @Cast("CUdeviceptr") long ptr);
public static native @Cast("CUresult") int cuPointerGetAttributes(@Cast("unsigned int") int numAttributes, @Cast("CUpointer_attribute*") IntBuffer attributes, @Cast("void**") @ByPtrPtr Pointer data, @Cast("CUdeviceptr") long ptr);
public static native @Cast("CUresult") int cuPointerGetAttributes(@Cast("unsigned int") int numAttributes, @Cast("CUpointer_attribute*") int[] attributes, @Cast("void**") @ByPtrPtr Pointer data, @Cast("CUdeviceptr") long ptr);
// #endif /* __CUDA_API_VERSION >= 7000 */
/** \} */ /* END CUDA_UNIFIED */
/**
* \defgroup CUDA_STREAM Stream Management
*
* ___MANBRIEF___ stream management functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the stream management functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Create a stream
*
* Creates a stream and returns a handle in \p phStream. The \p Flags argument
* determines behaviors of the stream. Valid values for \p Flags are:
* - ::CU_STREAM_DEFAULT: Default stream creation flag.
* - ::CU_STREAM_NON_BLOCKING: Specifies that work running in the created
* stream may run concurrently with work in stream 0 (the NULL stream), and that
* the created stream should perform no implicit synchronization with stream 0.
*
* @param phStream - Returned newly created stream
* @param Flags - Parameters for stream creation
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuStreamDestroy,
* ::cuStreamCreateWithPriority,
* ::cuStreamGetPriority,
* ::cuStreamGetFlags,
* ::cuStreamWaitEvent,
* ::cuStreamQuery,
* ::cuStreamSynchronize,
* ::cuStreamAddCallback
*/
public static native @Cast("CUresult") int cuStreamCreate(@ByPtrPtr CUstream_st phStream, @Cast("unsigned int") int Flags);
/**
* \brief Create a stream with the given priority
*
* Creates a stream with the specified priority and returns a handle in \p phStream.
* This API alters the scheduler priority of work in the stream. Work in a higher
* priority stream may preempt work already executing in a low priority stream.
*
* \p priority follows a convention where lower numbers represent higher priorities.
* '0' represents default priority. The range of meaningful numerical priorities can
* be queried using ::cuCtxGetStreamPriorityRange. If the specified priority is
* outside the numerical range returned by ::cuCtxGetStreamPriorityRange,
* it will automatically be clamped to the lowest or the highest number in the range.
*
* @param phStream - Returned newly created stream
* @param flags - Flags for stream creation. See ::cuStreamCreate for a list of
* valid flags
* @param priority - Stream priority. Lower numbers represent higher priorities.
* See ::cuCtxGetStreamPriorityRange for more information about
* meaningful stream priorities that can be passed.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \note Stream priorities are supported only on Quadro and Tesla GPUs
* with compute capability 3.5 or higher.
*
* \note In the current implementation, only compute kernels launched in
* priority streams are affected by the stream's priority. Stream priorities have
* no effect on host-to-device and device-to-host memory operations.
*
* \sa ::cuStreamDestroy,
* ::cuStreamCreate,
* ::cuStreamGetPriority,
* ::cuCtxGetStreamPriorityRange,
* ::cuStreamGetFlags,
* ::cuStreamWaitEvent,
* ::cuStreamQuery,
* ::cuStreamSynchronize,
* ::cuStreamAddCallback
*/
public static native @Cast("CUresult") int cuStreamCreateWithPriority(@ByPtrPtr CUstream_st phStream, @Cast("unsigned int") int flags, int priority);
/**
* \brief Query the priority of a given stream
*
* Query the priority of a stream created using ::cuStreamCreate or ::cuStreamCreateWithPriority
* and return the priority in \p priority. Note that if the stream was created with a
* priority outside the numerical range returned by ::cuCtxGetStreamPriorityRange,
* this function returns the clamped priority.
* See ::cuStreamCreateWithPriority for details about priority clamping.
*
* @param hStream - Handle to the stream to be queried
* @param priority - Pointer to a signed integer in which the stream's priority is returned
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuStreamDestroy,
* ::cuStreamCreate,
* ::cuStreamCreateWithPriority,
* ::cuCtxGetStreamPriorityRange,
* ::cuStreamGetFlags
*/
public static native @Cast("CUresult") int cuStreamGetPriority(CUstream_st hStream, IntPointer priority);
public static native @Cast("CUresult") int cuStreamGetPriority(CUstream_st hStream, IntBuffer priority);
public static native @Cast("CUresult") int cuStreamGetPriority(CUstream_st hStream, int[] priority);
/**
* \brief Query the flags of a given stream
*
* Query the flags of a stream created using ::cuStreamCreate or ::cuStreamCreateWithPriority
* and return the flags in \p flags.
*
* @param hStream - Handle to the stream to be queried
* @param flags - Pointer to an unsigned integer in which the stream's flags are returned
* The value returned in \p flags is a logical 'OR' of all flags that
* were used while creating this stream. See ::cuStreamCreate for the list
* of valid flags
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa ::cuStreamDestroy,
* ::cuStreamCreate,
* ::cuStreamGetPriority
*/
public static native @Cast("CUresult") int cuStreamGetFlags(CUstream_st hStream, @Cast("unsigned int*") IntPointer flags);
public static native @Cast("CUresult") int cuStreamGetFlags(CUstream_st hStream, @Cast("unsigned int*") IntBuffer flags);
public static native @Cast("CUresult") int cuStreamGetFlags(CUstream_st hStream, @Cast("unsigned int*") int[] flags);
/**
* \brief Make a compute stream wait on an event
*
* Makes all future work submitted to \p hStream wait until \p hEvent
* reports completion before beginning execution. This synchronization
* will be performed efficiently on the device. The event \p hEvent may
* be from a different context than \p hStream, in which case this function
* will perform cross-device synchronization.
*
* The stream \p hStream will wait only for the completion of the most recent
* host call to ::cuEventRecord() on \p hEvent. Once this call has returned,
* any functions (including ::cuEventRecord() and ::cuEventDestroy()) may be
* called on \p hEvent again, and subsequent calls will not have any
* effect on \p hStream.
*
* If ::cuEventRecord() has not been called on \p hEvent, this call acts as if
* the record has already completed, and so is a functional no-op.
*
* @param hStream - Stream to wait
* @param hEvent - Event to wait on (may not be NULL)
* @param Flags - Parameters for the operation (must be 0)
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* \note_null_stream
* \notefnerr
*
* \sa ::cuStreamCreate,
* ::cuEventRecord,
* ::cuStreamQuery,
* ::cuStreamSynchronize,
* ::cuStreamAddCallback,
* ::cuStreamDestroy
*/
public static native @Cast("CUresult") int cuStreamWaitEvent(CUstream_st hStream, CUevent_st hEvent, @Cast("unsigned int") int Flags);
/**
* \brief Add a callback to a compute stream
*
* Adds a callback to be called on the host after all currently enqueued
* items in the stream have completed. For each
* cuStreamAddCallback call, the callback will be executed exactly once.
* The callback will block later work in the stream until it is finished.
*
* The callback may be passed ::CUDA_SUCCESS or an error code. In the event
* of a device error, all subsequently executed callbacks will receive an
* appropriate ::CUresult.
*
* Callbacks must not make any CUDA API calls. Attempting to use a CUDA API
* will result in ::CUDA_ERROR_NOT_PERMITTED. Callbacks must not perform any
* synchronization that may depend on outstanding device work or other callbacks
* that are not mandated to run earlier. Callbacks without a mandated order
* (in independent streams) execute in undefined order and may be serialized.
*
* This API requires compute capability 1.1 or greater. See
* ::cuDeviceGetAttribute or ::cuDeviceGetProperties to query compute
* capability. Attempting to use this API with earlier compute versions will
* return ::CUDA_ERROR_NOT_SUPPORTED.
*
* For the purposes of Unified Memory, callback execution makes a number of
* guarantees:
*
* - The callback stream is considered idle for the duration of the
* callback. Thus, for example, a callback may always use memory attached
* to the callback stream.
* - The start of execution of a callback has the same effect as
* synchronizing an event recorded in the same stream immediately prior to
* the callback. It thus synchronizes streams which have been "joined"
* prior to the callback.
* - Adding device work to any stream does not have the effect of making
* the stream active until all preceding callbacks have executed. Thus, for
* example, a callback might use global attached memory even if work has
* been added to another stream, if it has been properly ordered with an
* event.
* - Completion of a callback does not cause a stream to become
* active except as described above. The callback stream will remain idle
* if no device work follows the callback, and will remain idle across
* consecutive callbacks without device work in between. Thus, for example,
* stream synchronization can be done by signaling from a callback at the
* end of the stream.
*
*
* @param hStream - Stream to add callback to
* @param callback - The function to call once preceding stream operations are complete
* @param userData - User specified data to be passed to the callback function
* @param flags - Reserved for future use, must be 0
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_SUPPORTED
* \note_null_stream
* \notefnerr
*
* \sa ::cuStreamCreate,
* ::cuStreamQuery,
* ::cuStreamSynchronize,
* ::cuStreamWaitEvent,
* ::cuStreamDestroy,
* ::cuMemAllocManaged,
* ::cuStreamAttachMemAsync
*/
public static native @Cast("CUresult") int cuStreamAddCallback(CUstream_st hStream, CUstreamCallback callback, Pointer userData, @Cast("unsigned int") int flags);
// #if __CUDA_API_VERSION >= 6000
/**
* \brief Attach memory to a stream asynchronously
*
* Enqueues an operation in \p hStream to specify stream association of
* \p length bytes of memory starting from \p dptr. This function is a
* stream-ordered operation, meaning that it is dependent on, and will
* only take effect when, previous work in stream has completed. Any
* previous association is automatically replaced.
*
* \p dptr must point to an address within managed memory space declared
* using the __managed__ keyword or allocated with ::cuMemAllocManaged.
*
* \p length must be zero, to indicate that the entire allocation's
* stream association is being changed. Currently, it's not possible
* to change stream association for a portion of an allocation.
*
* The stream association is specified using \p flags which must be
* one of ::CUmemAttach_flags.
* If the ::CU_MEM_ATTACH_GLOBAL flag is specified, the memory can be accessed
* by any stream on any device.
* If the ::CU_MEM_ATTACH_HOST flag is specified, the program makes a guarantee
* that it won't access the memory on the device from any stream.
* If the ::CU_MEM_ATTACH_SINGLE flag is specified, the program makes a guarantee
* that it will only access the memory on the device from \p hStream. It is illegal
* to attach singly to the NULL stream, because the NULL stream is a virtual global
* stream and not a specific stream. An error will be returned in this case.
*
* When memory is associated with a single stream, the Unified Memory system will
* allow CPU access to this memory region so long as all operations in \p hStream
* have completed, regardless of whether other streams are active. In effect,
* this constrains exclusive ownership of the managed memory region by
* an active GPU to per-stream activity instead of whole-GPU activity.
*
* Accessing memory on the device from streams that are not associated with
* it will produce undefined results. No error checking is performed by the
* Unified Memory system to ensure that kernels launched into other streams
* do not access this region.
*
* It is a program's responsibility to order calls to ::cuStreamAttachMemAsync
* via events, synchronization or other means to ensure legal access to memory
* at all times. Data visibility and coherency will be changed appropriately
* for all kernels which follow a stream-association change.
*
* If \p hStream is destroyed while data is associated with it, the association is
* removed and the association reverts to the default visibility of the allocation
* as specified at ::cuMemAllocManaged. For __managed__ variables, the default
* association is always ::CU_MEM_ATTACH_GLOBAL. Note that destroying a stream is an
* asynchronous operation, and as a result, the change to default association won't
* happen until all work in the stream has completed.
*
* @param hStream - Stream in which to enqueue the attach operation
* @param dptr - Pointer to memory (must be a pointer to managed memory)
* @param length - Length of memory (must be zero)
* @param flags - Must be one of ::CUmemAttach_flags
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_SUPPORTED
* \note_null_stream
* \notefnerr
*
* \sa ::cuStreamCreate,
* ::cuStreamQuery,
* ::cuStreamSynchronize,
* ::cuStreamWaitEvent,
* ::cuStreamDestroy,
* ::cuMemAllocManaged
*/
public static native @Cast("CUresult") int cuStreamAttachMemAsync(CUstream_st hStream, @Cast("CUdeviceptr") long dptr, @Cast("size_t") long length, @Cast("unsigned int") int flags);
// #endif /* __CUDA_API_VERSION >= 6000 */
/**
* \brief Determine status of a compute stream
*
* Returns ::CUDA_SUCCESS if all operations in the stream specified by
* \p hStream have completed, or ::CUDA_ERROR_NOT_READY if not.
*
* For the purposes of Unified Memory, a return value of ::CUDA_SUCCESS
* is equivalent to having called ::cuStreamSynchronize().
*
* @param hStream - Stream to query status of
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_READY
* \note_null_stream
* \notefnerr
*
* \sa ::cuStreamCreate,
* ::cuStreamWaitEvent,
* ::cuStreamDestroy,
* ::cuStreamSynchronize,
* ::cuStreamAddCallback
*/
public static native @Cast("CUresult") int cuStreamQuery(CUstream_st hStream);
/**
* \brief Wait until a stream's tasks are completed
*
* Waits until the device has completed all operations in the stream specified
* by \p hStream. If the context was created with the
* ::CU_CTX_SCHED_BLOCKING_SYNC flag, the CPU thread will block until the
* stream is finished with all of its tasks.
*
* @param hStream - Stream to wait for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE
* \note_null_stream
* \notefnerr
*
* \sa ::cuStreamCreate,
* ::cuStreamDestroy,
* ::cuStreamWaitEvent,
* ::cuStreamQuery,
* ::cuStreamAddCallback
*/
public static native @Cast("CUresult") int cuStreamSynchronize(CUstream_st hStream);
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Destroys a stream
*
* Destroys the stream specified by \p hStream.
*
* In case the device is still doing work in the stream \p hStream
* when ::cuStreamDestroy() is called, the function will return immediately
* and the resources associated with \p hStream will be released automatically
* once the device has completed all work in \p hStream.
*
* @param hStream - Stream to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuStreamCreate,
* ::cuStreamWaitEvent,
* ::cuStreamQuery,
* ::cuStreamSynchronize,
* ::cuStreamAddCallback
*/
public static native @Cast("CUresult") int cuStreamDestroy(CUstream_st hStream);
// #endif /* __CUDA_API_VERSION >= 4000 */
/** \} */ /* END CUDA_STREAM */
/**
* \defgroup CUDA_EVENT Event Management
*
* ___MANBRIEF___ event management functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the event management functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Creates an event
*
* Creates an event *phEvent with the flags specified via \p Flags. Valid flags
* include:
* - ::CU_EVENT_DEFAULT: Default event creation flag.
* - ::CU_EVENT_BLOCKING_SYNC: Specifies that the created event should use blocking
* synchronization. A CPU thread that uses ::cuEventSynchronize() to wait on
* an event created with this flag will block until the event has actually
* been recorded.
* - ::CU_EVENT_DISABLE_TIMING: Specifies that the created event does not need
* to record timing data. Events created with this flag specified and
* the ::CU_EVENT_BLOCKING_SYNC flag not specified will provide the best
* performance when used with ::cuStreamWaitEvent() and ::cuEventQuery().
* - ::CU_EVENT_INTERPROCESS: Specifies that the created event may be used as an
* interprocess event by ::cuIpcGetEventHandle(). ::CU_EVENT_INTERPROCESS must
* be specified along with ::CU_EVENT_DISABLE_TIMING.
*
* @param phEvent - Returns newly created event
* @param Flags - Event creation flags
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_OUT_OF_MEMORY
* \notefnerr
*
* \sa
* ::cuEventRecord,
* ::cuEventQuery,
* ::cuEventSynchronize,
* ::cuEventDestroy,
* ::cuEventElapsedTime
*/
public static native @Cast("CUresult") int cuEventCreate(@ByPtrPtr CUevent_st phEvent, @Cast("unsigned int") int Flags);
/**
* \brief Records an event
*
* Records an event. See note on NULL stream behavior. Since operation is
* asynchronous, ::cuEventQuery or ::cuEventSynchronize() must be used
* to determine when the event has actually been recorded.
*
* If ::cuEventRecord() has previously been called on \p hEvent, then this
* call will overwrite any existing state in \p hEvent. Any subsequent calls
* which examine the status of \p hEvent will only examine the completion of
* this most recent call to ::cuEventRecord().
*
* It is necessary that \p hEvent and \p hStream be created on the same context.
*
* @param hEvent - Event to record
* @param hStream - Stream to record event for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE
* \note_null_stream
* \notefnerr
*
* \sa ::cuEventCreate,
* ::cuEventQuery,
* ::cuEventSynchronize,
* ::cuStreamWaitEvent,
* ::cuEventDestroy,
* ::cuEventElapsedTime
*/
public static native @Cast("CUresult") int cuEventRecord(CUevent_st hEvent, CUstream_st hStream);
/**
* \brief Queries an event's status
*
* Query the status of all device work preceding the most recent
* call to ::cuEventRecord() (in the appropriate compute streams,
* as specified by the arguments to ::cuEventRecord()).
*
* If this work has successfully been completed by the device, or if
* ::cuEventRecord() has not been called on \p hEvent, then ::CUDA_SUCCESS is
* returned. If this work has not yet been completed by the device then
* ::CUDA_ERROR_NOT_READY is returned.
*
* For the purposes of Unified Memory, a return value of ::CUDA_SUCCESS
* is equivalent to having called ::cuEventSynchronize().
*
* @param hEvent - Event to query
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_NOT_READY
* \notefnerr
*
* \sa ::cuEventCreate,
* ::cuEventRecord,
* ::cuEventSynchronize,
* ::cuEventDestroy,
* ::cuEventElapsedTime
*/
public static native @Cast("CUresult") int cuEventQuery(CUevent_st hEvent);
/**
* \brief Waits for an event to complete
*
* Wait until the completion of all device work preceding the most recent
* call to ::cuEventRecord() (in the appropriate compute streams, as specified
* by the arguments to ::cuEventRecord()).
*
* If ::cuEventRecord() has not been called on \p hEvent, ::CUDA_SUCCESS is
* returned immediately.
*
* Waiting for an event that was created with the ::CU_EVENT_BLOCKING_SYNC
* flag will cause the calling CPU thread to block until the event has
* been completed by the device. If the ::CU_EVENT_BLOCKING_SYNC flag has
* not been set, then the CPU thread will busy-wait until the event has
* been completed by the device.
*
* @param hEvent - Event to wait for
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE
* \notefnerr
*
* \sa ::cuEventCreate,
* ::cuEventRecord,
* ::cuEventQuery,
* ::cuEventDestroy,
* ::cuEventElapsedTime
*/
public static native @Cast("CUresult") int cuEventSynchronize(CUevent_st hEvent);
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Destroys an event
*
* Destroys the event specified by \p hEvent.
*
* In case \p hEvent has been recorded but has not yet been completed
* when ::cuEventDestroy() is called, the function will return immediately and
* the resources associated with \p hEvent will be released automatically once
* the device has completed \p hEvent.
*
* @param hEvent - Event to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE
* \notefnerr
*
* \sa ::cuEventCreate,
* ::cuEventRecord,
* ::cuEventQuery,
* ::cuEventSynchronize,
* ::cuEventElapsedTime
*/
public static native @Cast("CUresult") int cuEventDestroy(CUevent_st hEvent);
// #endif /* __CUDA_API_VERSION >= 4000 */
/**
* \brief Computes the elapsed time between two events
*
* Computes the elapsed time between two events (in milliseconds with a
* resolution of around 0.5 microseconds).
*
* If either event was last recorded in a non-NULL stream, the resulting time
* may be greater than expected (even if both used the same stream handle). This
* happens because the ::cuEventRecord() operation takes place asynchronously
* and there is no guarantee that the measured latency is actually just between
* the two events. Any number of other different stream operations could execute
* in between the two measured events, thus altering the timing in a significant
* way.
*
* If ::cuEventRecord() has not been called on either event then
* ::CUDA_ERROR_INVALID_HANDLE is returned. If ::cuEventRecord() has been called
* on both events but one or both of them has not yet been completed (that is,
* ::cuEventQuery() would return ::CUDA_ERROR_NOT_READY on at least one of the
* events), ::CUDA_ERROR_NOT_READY is returned. If either event was created with
* the ::CU_EVENT_DISABLE_TIMING flag, then this function will return
* ::CUDA_ERROR_INVALID_HANDLE.
*
* @param pMilliseconds - Time between \p hStart and \p hEnd in ms
* @param hStart - Starting event
* @param hEnd - Ending event
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_READY
* \notefnerr
*
* \sa ::cuEventCreate,
* ::cuEventRecord,
* ::cuEventQuery,
* ::cuEventSynchronize,
* ::cuEventDestroy
*/
public static native @Cast("CUresult") int cuEventElapsedTime(FloatPointer pMilliseconds, CUevent_st hStart, CUevent_st hEnd);
public static native @Cast("CUresult") int cuEventElapsedTime(FloatBuffer pMilliseconds, CUevent_st hStart, CUevent_st hEnd);
public static native @Cast("CUresult") int cuEventElapsedTime(float[] pMilliseconds, CUevent_st hStart, CUevent_st hEnd);
/** \} */ /* END CUDA_EVENT */
/**
* \defgroup CUDA_EXEC Execution Control
*
* ___MANBRIEF___ execution control functions of the low-level CUDA driver API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the execution control functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Returns information about a function
*
* Returns in \p *pi the integer value of the attribute \p attrib on the kernel
* given by \p hfunc. The supported attributes are:
* - ::CU_FUNC_ATTRIBUTE_MAX_THREADS_PER_BLOCK: The maximum number of threads
* per block, beyond which a launch of the function would fail. This number
* depends on both the function and the device on which the function is
* currently loaded.
* - ::CU_FUNC_ATTRIBUTE_SHARED_SIZE_BYTES: The size in bytes of
* statically-allocated shared memory per block required by this function.
* This does not include dynamically-allocated shared memory requested by
* the user at runtime.
* - ::CU_FUNC_ATTRIBUTE_CONST_SIZE_BYTES: The size in bytes of user-allocated
* constant memory required by this function.
* - ::CU_FUNC_ATTRIBUTE_LOCAL_SIZE_BYTES: The size in bytes of local memory
* used by each thread of this function.
* - ::CU_FUNC_ATTRIBUTE_NUM_REGS: The number of registers used by each thread
* of this function.
* - ::CU_FUNC_ATTRIBUTE_PTX_VERSION: The PTX virtual architecture version for
* which the function was compiled. This value is the major PTX version * 10
* + the minor PTX version, so a PTX version 1.3 function would return the
* value 13. Note that this may return the undefined value of 0 for cubins
* compiled prior to CUDA 3.0.
* - ::CU_FUNC_ATTRIBUTE_BINARY_VERSION: The binary architecture version for
* which the function was compiled. This value is the major binary
* version * 10 + the minor binary version, so a binary version 1.3 function
* would return the value 13. Note that this will return a value of 10 for
* legacy cubins that do not have a properly-encoded binary architecture
* version.
* - ::CU_FUNC_CACHE_MODE_CA: The attribute to indicate whether the function has
* been compiled with user specified option "-Xptxas --dlcm=ca" set .
*
* @param pi - Returned attribute value
* @param attrib - Attribute requested
* @param hfunc - Function to query attribute of
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuCtxGetCacheConfig,
* ::cuCtxSetCacheConfig,
* ::cuFuncSetCacheConfig,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuFuncGetAttribute(IntPointer pi, @Cast("CUfunction_attribute") int attrib, CUfunc_st hfunc);
public static native @Cast("CUresult") int cuFuncGetAttribute(IntBuffer pi, @Cast("CUfunction_attribute") int attrib, CUfunc_st hfunc);
public static native @Cast("CUresult") int cuFuncGetAttribute(int[] pi, @Cast("CUfunction_attribute") int attrib, CUfunc_st hfunc);
/**
* \brief Sets the preferred cache configuration for a device function
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this sets through \p config the preferred cache configuration for
* the device function \p hfunc. This is only a preference. The driver will use
* the requested configuration if possible, but it is free to choose a different
* configuration if required to execute \p hfunc. Any context-wide preference
* set via ::cuCtxSetCacheConfig() will be overridden by this per-function
* setting unless the per-function setting is ::CU_FUNC_CACHE_PREFER_NONE. In
* that case, the current context-wide setting will be used.
*
* This setting does nothing on devices where the size of the L1 cache and
* shared memory are fixed.
*
* Launching a kernel with a different preference than the most recent
* preference setting may insert a device-side synchronization point.
*
*
* The supported cache configurations are:
* - ::CU_FUNC_CACHE_PREFER_NONE: no preference for shared memory or L1 (default)
* - ::CU_FUNC_CACHE_PREFER_SHARED: prefer larger shared memory and smaller L1 cache
* - ::CU_FUNC_CACHE_PREFER_L1: prefer larger L1 cache and smaller shared memory
* - ::CU_FUNC_CACHE_PREFER_EQUAL: prefer equal sized L1 cache and shared memory
*
* @param hfunc - Kernel to configure cache for
* @param config - Requested cache configuration
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT
* \notefnerr
*
* \sa ::cuCtxGetCacheConfig,
* ::cuCtxSetCacheConfig,
* ::cuFuncGetAttribute,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuFuncSetCacheConfig(CUfunc_st hfunc, @Cast("CUfunc_cache") int config);
// #if __CUDA_API_VERSION >= 4020
/**
* \brief Sets the shared memory configuration for a device function.
*
* On devices with configurable shared memory banks, this function will
* force all subsequent launches of the specified device function to have
* the given shared memory bank size configuration. On any given launch of the
* function, the shared memory configuration of the device will be temporarily
* changed if needed to suit the function's preferred configuration. Changes in
* shared memory configuration between subsequent launches of functions,
* may introduce a device side synchronization point.
*
* Any per-function setting of shared memory bank size set via
* ::cuFuncSetSharedMemConfig will override the context wide setting set with
* ::cuCtxSetSharedMemConfig.
*
* Changing the shared memory bank size will not increase shared memory usage
* or affect occupancy of kernels, but may have major effects on performance.
* Larger bank sizes will allow for greater potential bandwidth to shared memory,
* but will change what kinds of accesses to shared memory will result in bank
* conflicts.
*
* This function will do nothing on devices with fixed shared memory bank size.
*
* The supported bank configurations are:
* - ::CU_SHARED_MEM_CONFIG_DEFAULT_BANK_SIZE: use the context's shared memory
* configuration when launching this function.
* - ::CU_SHARED_MEM_CONFIG_FOUR_BYTE_BANK_SIZE: set shared memory bank width to
* be natively four bytes when launching this function.
* - ::CU_SHARED_MEM_CONFIG_EIGHT_BYTE_BANK_SIZE: set shared memory bank width to
* be natively eight bytes when launching this function.
*
* @param hfunc - kernel to be given a shared memory config
* @param config - requested shared memory configuration
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT
* \notefnerr
*
* \sa ::cuCtxGetCacheConfig,
* ::cuCtxSetCacheConfig,
* ::cuCtxGetSharedMemConfig,
* ::cuCtxSetSharedMemConfig,
* ::cuFuncGetAttribute,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuFuncSetSharedMemConfig(CUfunc_st hfunc, @Cast("CUsharedconfig") int config);
// #endif
// #if __CUDA_API_VERSION >= 4000
/**
* \brief Launches a CUDA function
*
* Invokes the kernel \p f on a \p gridDimX x \p gridDimY x \p gridDimZ
* grid of blocks. Each block contains \p blockDimX x \p blockDimY x
* \p blockDimZ threads.
*
* \p sharedMemBytes sets the amount of dynamic shared memory that will be
* available to each thread block.
*
* Kernel parameters to \p f can be specified in one of two ways:
*
* 1) Kernel parameters can be specified via \p kernelParams. If \p f
* has N parameters, then \p kernelParams needs to be an array of N
* pointers. Each of \p kernelParams[0] through \p kernelParams[N-1]
* must point to a region of memory from which the actual kernel
* parameter will be copied. The number of kernel parameters and their
* offsets and sizes do not need to be specified as that information is
* retrieved directly from the kernel's image.
*
* 2) Kernel parameters can also be packaged by the application into
* a single buffer that is passed in via the \p extra parameter.
* This places the burden on the application of knowing each kernel
* parameter's size and alignment/padding within the buffer. Here is
* an example of using the \p extra parameter in this manner:
* {@code
size_t argBufferSize;
char argBuffer[256];
// populate argBuffer and argBufferSize
void *config[] = {
CU_LAUNCH_PARAM_BUFFER_POINTER, argBuffer,
CU_LAUNCH_PARAM_BUFFER_SIZE, &argBufferSize,
CU_LAUNCH_PARAM_END
};
status = cuLaunchKernel(f, gx, gy, gz, bx, by, bz, sh, s, NULL, config);
* }
*
* The \p extra parameter exists to allow ::cuLaunchKernel to take
* additional less commonly used arguments. \p extra specifies a list of
* names of extra settings and their corresponding values. Each extra
* setting name is immediately followed by the corresponding value. The
* list must be terminated with either NULL or ::CU_LAUNCH_PARAM_END.
*
* - ::CU_LAUNCH_PARAM_END, which indicates the end of the \p extra
* array;
* - ::CU_LAUNCH_PARAM_BUFFER_POINTER, which specifies that the next
* value in \p extra will be a pointer to a buffer containing all
* the kernel parameters for launching kernel \p f;
* - ::CU_LAUNCH_PARAM_BUFFER_SIZE, which specifies that the next
* value in \p extra will be a pointer to a size_t containing the
* size of the buffer specified with ::CU_LAUNCH_PARAM_BUFFER_POINTER;
*
* The error ::CUDA_ERROR_INVALID_VALUE will be returned if kernel
* parameters are specified with both \p kernelParams and \p extra
* (i.e. both \p kernelParams and \p extra are non-NULL).
*
* Calling ::cuLaunchKernel() sets persistent function state that is
* the same as function state set through the following deprecated APIs:
* ::cuFuncSetBlockShape(),
* ::cuFuncSetSharedSize(),
* ::cuParamSetSize(),
* ::cuParamSeti(),
* ::cuParamSetf(),
* ::cuParamSetv().
*
* When the kernel \p f is launched via ::cuLaunchKernel(), the previous
* block shape, shared size and parameter info associated with \p f
* is overwritten.
*
* Note that to use ::cuLaunchKernel(), the kernel \p f must either have
* been compiled with toolchain version 3.2 or later so that it will
* contain kernel parameter information, or have no kernel parameters.
* If either of these conditions is not met, then ::cuLaunchKernel() will
* return ::CUDA_ERROR_INVALID_IMAGE.
*
* @param f - Kernel to launch
* @param gridDimX - Width of grid in blocks
* @param gridDimY - Height of grid in blocks
* @param gridDimZ - Depth of grid in blocks
* @param blockDimX - X dimension of each thread block
* @param blockDimY - Y dimension of each thread block
* @param blockDimZ - Z dimension of each thread block
* @param sharedMemBytes - Dynamic shared-memory size per thread block in bytes
* @param hStream - Stream identifier
* @param kernelParams - Array of pointers to kernel parameters
* @param extra - Extra options
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_IMAGE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_LAUNCH_FAILED,
* ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,
* ::CUDA_ERROR_LAUNCH_TIMEOUT,
* ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \note_null_stream
* \notefnerr
*
* \sa ::cuCtxGetCacheConfig,
* ::cuCtxSetCacheConfig,
* ::cuFuncSetCacheConfig,
* ::cuFuncGetAttribute
*/
public static native @Cast("CUresult") int cuLaunchKernel(CUfunc_st f,
@Cast("unsigned int") int gridDimX,
@Cast("unsigned int") int gridDimY,
@Cast("unsigned int") int gridDimZ,
@Cast("unsigned int") int blockDimX,
@Cast("unsigned int") int blockDimY,
@Cast("unsigned int") int blockDimZ,
@Cast("unsigned int") int sharedMemBytes,
CUstream_st hStream,
@Cast("void**") PointerPointer kernelParams,
@Cast("void**") PointerPointer extra);
public static native @Cast("CUresult") int cuLaunchKernel(CUfunc_st f,
@Cast("unsigned int") int gridDimX,
@Cast("unsigned int") int gridDimY,
@Cast("unsigned int") int gridDimZ,
@Cast("unsigned int") int blockDimX,
@Cast("unsigned int") int blockDimY,
@Cast("unsigned int") int blockDimZ,
@Cast("unsigned int") int sharedMemBytes,
CUstream_st hStream,
@Cast("void**") @ByPtrPtr Pointer kernelParams,
@Cast("void**") @ByPtrPtr Pointer extra);
// #endif /* __CUDA_API_VERSION >= 4000 */
/** \} */ /* END CUDA_EXEC */
/**
* \defgroup CUDA_EXEC_DEPRECATED Execution Control [DEPRECATED]
*
* ___MANBRIEF___ deprecated execution control functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the deprecated execution control functions of the
* low-level CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Sets the block-dimensions for the function
*
* @deprecated
*
* Specifies the \p x, \p y, and \p z dimensions of the thread blocks that are
* created when the kernel given by \p hfunc is launched.
*
* @param hfunc - Kernel to specify dimensions of
* @param x - X dimension
* @param y - Y dimension
* @param z - Z dimension
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuFuncSetSharedSize,
* ::cuFuncSetCacheConfig,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSeti,
* ::cuParamSetf,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuFuncSetBlockShape(CUfunc_st hfunc, int x, int y, int z);
/**
* \brief Sets the dynamic shared-memory size for the function
*
* @deprecated
*
* Sets through \p bytes the amount of dynamic shared memory that will be
* available to each thread block when the kernel given by \p hfunc is launched.
*
* @param hfunc - Kernel to specify dynamic shared-memory size for
* @param bytes - Dynamic shared-memory size per thread in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetCacheConfig,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSeti,
* ::cuParamSetf,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuFuncSetSharedSize(CUfunc_st hfunc, @Cast("unsigned int") int bytes);
/**
* \brief Sets the parameter size for the function
*
* @deprecated
*
* Sets through \p numbytes the total size in bytes needed by the function
* parameters of the kernel corresponding to \p hfunc.
*
* @param hfunc - Kernel to set parameter size for
* @param numbytes - Size of parameter list in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetf,
* ::cuParamSeti,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuParamSetSize(CUfunc_st hfunc, @Cast("unsigned int") int numbytes);
/**
* \brief Adds an integer parameter to the function's argument list
*
* @deprecated
*
* Sets an integer parameter that will be specified the next time the
* kernel corresponding to \p hfunc will be invoked. \p offset is a byte offset.
*
* @param hfunc - Kernel to add parameter to
* @param offset - Offset to add parameter to argument list
* @param value - Value of parameter
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSetf,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuParamSeti(CUfunc_st hfunc, int offset, @Cast("unsigned int") int value);
/**
* \brief Adds a floating-point parameter to the function's argument list
*
* @deprecated
*
* Sets a floating-point parameter that will be specified the next time the
* kernel corresponding to \p hfunc will be invoked. \p offset is a byte offset.
*
* @param hfunc - Kernel to add parameter to
* @param offset - Offset to add parameter to argument list
* @param value - Value of parameter
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSeti,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuParamSetf(CUfunc_st hfunc, int offset, float value);
/**
* \brief Adds arbitrary data to the function's argument list
*
* @deprecated
*
* Copies an arbitrary amount of data (specified in \p numbytes) from \p ptr
* into the parameter space of the kernel corresponding to \p hfunc. \p offset
* is a byte offset.
*
* @param hfunc - Kernel to add data to
* @param offset - Offset to add data to argument list
* @param ptr - Pointer to arbitrary data
* @param numbytes - Size of data to copy in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSetf,
* ::cuParamSeti,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuParamSetv(CUfunc_st hfunc, int offset, Pointer ptr, @Cast("unsigned int") int numbytes);
/**
* \brief Launches a CUDA function
*
* @deprecated
*
* Invokes the kernel \p f on a 1 x 1 x 1 grid of blocks. The block
* contains the number of threads specified by a previous call to
* ::cuFuncSetBlockShape().
*
* @param f - Kernel to launch
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_LAUNCH_FAILED,
* ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,
* ::CUDA_ERROR_LAUNCH_TIMEOUT,
* ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSetf,
* ::cuParamSeti,
* ::cuParamSetv,
* ::cuLaunchGrid,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuLaunch(CUfunc_st f);
/**
* \brief Launches a CUDA function
*
* @deprecated
*
* Invokes the kernel \p f on a \p grid_width x \p grid_height grid of
* blocks. Each block contains the number of threads specified by a previous
* call to ::cuFuncSetBlockShape().
*
* @param f - Kernel to launch
* @param grid_width - Width of grid in blocks
* @param grid_height - Height of grid in blocks
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_LAUNCH_FAILED,
* ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,
* ::CUDA_ERROR_LAUNCH_TIMEOUT,
* ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSetf,
* ::cuParamSeti,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGridAsync,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuLaunchGrid(CUfunc_st f, int grid_width, int grid_height);
/**
* \brief Launches a CUDA function
*
* @deprecated
*
* Invokes the kernel \p f on a \p grid_width x \p grid_height grid of
* blocks. Each block contains the number of threads specified by a previous
* call to ::cuFuncSetBlockShape().
*
* @param f - Kernel to launch
* @param grid_width - Width of grid in blocks
* @param grid_height - Height of grid in blocks
* @param hStream - Stream identifier
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_LAUNCH_FAILED,
* ::CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES,
* ::CUDA_ERROR_LAUNCH_TIMEOUT,
* ::CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING,
* ::CUDA_ERROR_SHARED_OBJECT_INIT_FAILED
*
* \note In certain cases where cubins are created with no ABI (i.e., using \p ptxas \p --abi-compile \p no),
* this function may serialize kernel launches. In order to force the CUDA driver to retain
* asynchronous behavior, set the ::CU_CTX_LMEM_RESIZE_TO_MAX flag during context creation (see ::cuCtxCreate).
*
* \note_null_stream
* \notefnerr
*
* \sa ::cuFuncSetBlockShape,
* ::cuFuncSetSharedSize,
* ::cuFuncGetAttribute,
* ::cuParamSetSize,
* ::cuParamSetf,
* ::cuParamSeti,
* ::cuParamSetv,
* ::cuLaunch,
* ::cuLaunchGrid,
* ::cuLaunchKernel
*/
public static native @Cast("CUresult") int cuLaunchGridAsync(CUfunc_st f, int grid_width, int grid_height, CUstream_st hStream);
/**
* \brief Adds a texture-reference to the function's argument list
*
* @deprecated
*
* Makes the CUDA array or linear memory bound to the texture reference
* \p hTexRef available to a device program as a texture. In this version of
* CUDA, the texture-reference must be obtained via ::cuModuleGetTexRef() and
* the \p texunit parameter must be set to ::CU_PARAM_TR_DEFAULT.
*
* @param hfunc - Kernel to add texture-reference to
* @param texunit - Texture unit (must be ::CU_PARAM_TR_DEFAULT)
* @param hTexRef - Texture-reference to add to argument list
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*/
public static native @Cast("CUresult") int cuParamSetTexRef(CUfunc_st hfunc, int texunit, CUtexref_st hTexRef);
/** \} */ /* END CUDA_EXEC_DEPRECATED */
// #if __CUDA_API_VERSION >= 6050
/**
* \defgroup CUDA_OCCUPANCY Occupancy
*
* ___MANBRIEF___ occupancy calculation functions of the low-level CUDA driver
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the occupancy calculation functions of the low-level CUDA
* driver application programming interface.
*
* \{
*/
/**
* \brief Returns occupancy of a function
*
* Returns in \p *numBlocks the number of the maximum active blocks per
* streaming multiprocessor.
*
* @param numBlocks - Returned occupancy
* @param func - Kernel for which occupancy is calculated
* @param blockSize - Block size the kernel is intended to be launched with
* @param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
*/
public static native @Cast("CUresult") int cuOccupancyMaxActiveBlocksPerMultiprocessor(IntPointer numBlocks, CUfunc_st func, int blockSize, @Cast("size_t") long dynamicSMemSize);
public static native @Cast("CUresult") int cuOccupancyMaxActiveBlocksPerMultiprocessor(IntBuffer numBlocks, CUfunc_st func, int blockSize, @Cast("size_t") long dynamicSMemSize);
public static native @Cast("CUresult") int cuOccupancyMaxActiveBlocksPerMultiprocessor(int[] numBlocks, CUfunc_st func, int blockSize, @Cast("size_t") long dynamicSMemSize);
/**
* \brief Returns occupancy of a function
*
* Returns in \p *numBlocks the number of the maximum active blocks per
* streaming multiprocessor.
*
* The \p Flags parameter controls how special cases are handled. The
* valid flags are:
*
* - ::CU_OCCUPANCY_DEFAULT, which maintains the default behavior as
* ::cuOccupancyMaxActiveBlocksPerMultiprocessor;
*
* - ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE, which suppresses the
* default behavior on platform where global caching affects
* occupancy. On such platforms, if caching is enabled, but
* per-block SM resource usage would result in zero occupancy, the
* occupancy calculator will calculate the occupancy as if caching
* is disabled. Setting ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE makes
* the occupancy calculator to return 0 in such cases. More information
* can be found about this feature in the "Unified L1/Texture Cache"
* section of the Maxwell tuning guide.
*
* @param numBlocks - Returned occupancy
* @param func - Kernel for which occupancy is calculated
* @param blockSize - Block size the kernel is intended to be launched with
* @param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes
* @param flags - Requested behavior for the occupancy calculator
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
*/
public static native @Cast("CUresult") int cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(IntPointer numBlocks, CUfunc_st func, int blockSize, @Cast("size_t") long dynamicSMemSize, @Cast("unsigned int") int flags);
public static native @Cast("CUresult") int cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(IntBuffer numBlocks, CUfunc_st func, int blockSize, @Cast("size_t") long dynamicSMemSize, @Cast("unsigned int") int flags);
public static native @Cast("CUresult") int cuOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(int[] numBlocks, CUfunc_st func, int blockSize, @Cast("size_t") long dynamicSMemSize, @Cast("unsigned int") int flags);
/**
* \brief Suggest a launch configuration with reasonable occupancy
*
* Returns in \p *blockSize a reasonable block size that can achieve
* the maximum occupancy (or, the maximum number of active warps with
* the fewest blocks per multiprocessor), and in \p *minGridSize the
* minimum grid size to achieve the maximum occupancy.
*
* If \p blockSizeLimit is 0, the configurator will use the maximum
* block size permitted by the device / function instead.
*
* If per-block dynamic shared memory allocation is not needed, the
* user should leave both \p blockSizeToDynamicSMemSize and \p
* dynamicSMemSize as 0.
*
* If per-block dynamic shared memory allocation is needed, then if
* the dynamic shared memory size is constant regardless of block
* size, the size should be passed through \p dynamicSMemSize, and \p
* blockSizeToDynamicSMemSize should be NULL.
*
* Otherwise, if the per-block dynamic shared memory size varies with
* different block sizes, the user needs to provide a unary function
* through \p blockSizeToDynamicSMemSize that computes the dynamic
* shared memory needed by \p func for any given block size. \p
* dynamicSMemSize is ignored. An example signature is:
*
* {@code
* // Take block size, returns dynamic shared memory needed
* size_t blockToSmem(int blockSize);
* }
*
* @param minGridSize - Returned minimum grid size needed to achieve the maximum occupancy
* @param blockSize - Returned maximum block size that can achieve the maximum occupancy
* @param func - Kernel for which launch configuration is calculated
* @param blockSizeToDynamicSMemSize - A function that calculates how much per-block dynamic shared memory \p func uses based on the block size
* @param dynamicSMemSize - Dynamic shared memory usage intended, in bytes
* @param blockSizeLimit - The maximum block size \p func is designed to handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
*/
public static native @Cast("CUresult") int cuOccupancyMaxPotentialBlockSize(IntPointer minGridSize, IntPointer blockSize, CUfunc_st func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, @Cast("size_t") long dynamicSMemSize, int blockSizeLimit);
public static native @Cast("CUresult") int cuOccupancyMaxPotentialBlockSize(IntBuffer minGridSize, IntBuffer blockSize, CUfunc_st func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, @Cast("size_t") long dynamicSMemSize, int blockSizeLimit);
public static native @Cast("CUresult") int cuOccupancyMaxPotentialBlockSize(int[] minGridSize, int[] blockSize, CUfunc_st func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, @Cast("size_t") long dynamicSMemSize, int blockSizeLimit);
/**
* \brief Suggest a launch configuration with reasonable occupancy
*
* An extended version of ::cuOccupancyMaxPotentialBlockSize. In
* addition to arguments passed to ::cuOccupancyMaxPotentialBlockSize,
* ::cuOccupancyMaxPotentialBlockSizeWithFlags also takes a \p Flags
* parameter.
*
* The \p Flags parameter controls how special cases are handled. The
* valid flags are:
*
* - ::CU_OCCUPANCY_DEFAULT, which maintains the default behavior as
* ::cuOccupancyMaxPotentialBlockSize;
*
* - ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE, which suppresses the
* default behavior on platform where global caching affects
* occupancy. On such platforms, the launch configurations that
* produces maximal occupancy might not support global
* caching. Setting ::CU_OCCUPANCY_DISABLE_CACHING_OVERRIDE
* guarantees that the the produced launch configuration is global
* caching compatible at a potential cost of occupancy. More information
* can be found about this feature in the "Unified L1/Texture Cache"
* section of the Maxwell tuning guide.
*
* @param minGridSize - Returned minimum grid size needed to achieve the maximum occupancy
* @param blockSize - Returned maximum block size that can achieve the maximum occupancy
* @param func - Kernel for which launch configuration is calculated
* @param blockSizeToDynamicSMemSize - A function that calculates how much per-block dynamic shared memory \p func uses based on the block size
* @param dynamicSMemSize - Dynamic shared memory usage intended, in bytes
* @param blockSizeLimit - The maximum block size \p func is designed to handle
* @param flags - Options
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
*/
public static native @Cast("CUresult") int cuOccupancyMaxPotentialBlockSizeWithFlags(IntPointer minGridSize, IntPointer blockSize, CUfunc_st func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, @Cast("size_t") long dynamicSMemSize, int blockSizeLimit, @Cast("unsigned int") int flags);
public static native @Cast("CUresult") int cuOccupancyMaxPotentialBlockSizeWithFlags(IntBuffer minGridSize, IntBuffer blockSize, CUfunc_st func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, @Cast("size_t") long dynamicSMemSize, int blockSizeLimit, @Cast("unsigned int") int flags);
public static native @Cast("CUresult") int cuOccupancyMaxPotentialBlockSizeWithFlags(int[] minGridSize, int[] blockSize, CUfunc_st func, CUoccupancyB2DSize blockSizeToDynamicSMemSize, @Cast("size_t") long dynamicSMemSize, int blockSizeLimit, @Cast("unsigned int") int flags);
/** \} */ /* END CUDA_OCCUPANCY */
// #endif /* __CUDA_API_VERSION >= 6050 */
/**
* \defgroup CUDA_TEXREF Texture Reference Management
*
* ___MANBRIEF___ texture reference management functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the texture reference management functions of the
* low-level CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Binds an array as a texture reference
*
* Binds the CUDA array \p hArray to the texture reference \p hTexRef. Any
* previous address or CUDA array state associated with the texture reference
* is superseded by this function. \p Flags must be set to
* ::CU_TRSA_OVERRIDE_FORMAT. Any CUDA array previously bound to \p hTexRef is
* unbound.
*
* @param hTexRef - Texture reference to bind
* @param hArray - Array to bind
* @param Flags - Options (must be ::CU_TRSA_OVERRIDE_FORMAT)
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetArray(CUtexref_st hTexRef, CUarray_st hArray, @Cast("unsigned int") int Flags);
/**
* \brief Binds a mipmapped array to a texture reference
*
* Binds the CUDA mipmapped array \p hMipmappedArray to the texture reference \p hTexRef.
* Any previous address or CUDA array state associated with the texture reference
* is superseded by this function. \p Flags must be set to ::CU_TRSA_OVERRIDE_FORMAT.
* Any CUDA array previously bound to \p hTexRef is unbound.
*
* @param hTexRef - Texture reference to bind
* @param hMipmappedArray - Mipmapped array to bind
* @param Flags - Options (must be ::CU_TRSA_OVERRIDE_FORMAT)
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetMipmappedArray(CUtexref_st hTexRef, CUmipmappedArray_st hMipmappedArray, @Cast("unsigned int") int Flags);
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Binds an address as a texture reference
*
* Binds a linear address range to the texture reference \p hTexRef. Any
* previous address or CUDA array state associated with the texture reference
* is superseded by this function. Any memory previously bound to \p hTexRef
* is unbound.
*
* Since the hardware enforces an alignment requirement on texture base
* addresses, ::cuTexRefSetAddress() passes back a byte offset in
* \p *ByteOffset that must be applied to texture fetches in order to read from
* the desired memory. This offset must be divided by the texel size and
* passed to kernels that read from the texture so they can be applied to the
* ::tex1Dfetch() function.
*
* If the device memory pointer was returned from ::cuMemAlloc(), the offset
* is guaranteed to be 0 and NULL may be passed as the \p ByteOffset parameter.
*
* The total number of elements (or texels) in the linear address range
* cannot exceed ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH.
* The number of elements is computed as (\p bytes / bytesPerElement),
* where bytesPerElement is determined from the data format and number of
* components set using ::cuTexRefSetFormat().
*
* @param ByteOffset - Returned byte offset
* @param hTexRef - Texture reference to bind
* @param dptr - Device pointer to bind
* @param bytes - Size of memory to bind in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetAddress(@Cast("size_t*") SizeTPointer ByteOffset, CUtexref_st hTexRef, @Cast("CUdeviceptr") long dptr, @Cast("size_t") long bytes);
/**
* \brief Binds an address as a 2D texture reference
*
* Binds a linear address range to the texture reference \p hTexRef. Any
* previous address or CUDA array state associated with the texture reference
* is superseded by this function. Any memory previously bound to \p hTexRef
* is unbound.
*
* Using a ::tex2D() function inside a kernel requires a call to either
* ::cuTexRefSetArray() to bind the corresponding texture reference to an
* array, or ::cuTexRefSetAddress2D() to bind the texture reference to linear
* memory.
*
* Function calls to ::cuTexRefSetFormat() cannot follow calls to
* ::cuTexRefSetAddress2D() for the same texture reference.
*
* It is required that \p dptr be aligned to the appropriate hardware-specific
* texture alignment. You can query this value using the device attribute
* ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT. If an unaligned \p dptr is
* supplied, ::CUDA_ERROR_INVALID_VALUE is returned.
*
* \p Pitch has to be aligned to the hardware-specific texture pitch alignment.
* This value can be queried using the device attribute
* ::CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT. If an unaligned \p Pitch is
* supplied, ::CUDA_ERROR_INVALID_VALUE is returned.
*
* Width and Height, which are specified in elements (or texels), cannot exceed
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH and
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT respectively.
* \p Pitch, which is specified in bytes, cannot exceed
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH.
*
* @param hTexRef - Texture reference to bind
* @param desc - Descriptor of CUDA array
* @param dptr - Device pointer to bind
* @param Pitch - Line pitch in bytes
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetAddress2D(CUtexref_st hTexRef, @Const CUDA_ARRAY_DESCRIPTOR desc, @Cast("CUdeviceptr") long dptr, @Cast("size_t") long Pitch);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Sets the format for a texture reference
*
* Specifies the format of the data to be read by the texture reference
* \p hTexRef. \p fmt and \p NumPackedComponents are exactly analogous to the
* ::Format and ::NumChannels members of the ::CUDA_ARRAY_DESCRIPTOR structure:
* They specify the format of each component and the number of components per
* array element.
*
* @param hTexRef - Texture reference
* @param fmt - Format to set
* @param NumPackedComponents - Number of components per array element
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetFormat(CUtexref_st hTexRef, @Cast("CUarray_format") int fmt, int NumPackedComponents);
/**
* \brief Sets the addressing mode for a texture reference
*
* Specifies the addressing mode \p am for the given dimension \p dim of the
* texture reference \p hTexRef. If \p dim is zero, the addressing mode is
* applied to the first parameter of the functions used to fetch from the
* texture; if \p dim is 1, the second, and so on. ::CUaddress_mode is defined
* as:
* {@code
typedef enum CUaddress_mode_enum {
CU_TR_ADDRESS_MODE_WRAP = 0,
CU_TR_ADDRESS_MODE_CLAMP = 1,
CU_TR_ADDRESS_MODE_MIRROR = 2,
CU_TR_ADDRESS_MODE_BORDER = 3
} CUaddress_mode;
* }
*
* Note that this call has no effect if \p hTexRef is bound to linear memory.
* Also, if the flag, ::CU_TRSF_NORMALIZED_COORDINATES, is not set, the only
* supported address mode is ::CU_TR_ADDRESS_MODE_CLAMP.
*
* @param hTexRef - Texture reference
* @param dim - Dimension
* @param am - Addressing mode to set
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetAddressMode(CUtexref_st hTexRef, int dim, @Cast("CUaddress_mode") int am);
/**
* \brief Sets the filtering mode for a texture reference
*
* Specifies the filtering mode \p fm to be used when reading memory through
* the texture reference \p hTexRef. ::CUfilter_mode_enum is defined as:
*
* {@code
typedef enum CUfilter_mode_enum {
CU_TR_FILTER_MODE_POINT = 0,
CU_TR_FILTER_MODE_LINEAR = 1
} CUfilter_mode;
* }
*
* Note that this call has no effect if \p hTexRef is bound to linear memory.
*
* @param hTexRef - Texture reference
* @param fm - Filtering mode to set
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetFilterMode(CUtexref_st hTexRef, @Cast("CUfilter_mode") int fm);
/**
* \brief Sets the mipmap filtering mode for a texture reference
*
* Specifies the mipmap filtering mode \p fm to be used when reading memory through
* the texture reference \p hTexRef. ::CUfilter_mode_enum is defined as:
*
* {@code
typedef enum CUfilter_mode_enum {
CU_TR_FILTER_MODE_POINT = 0,
CU_TR_FILTER_MODE_LINEAR = 1
} CUfilter_mode;
* }
*
* Note that this call has no effect if \p hTexRef is not bound to a mipmapped array.
*
* @param hTexRef - Texture reference
* @param fm - Filtering mode to set
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetMipmapFilterMode(CUtexref_st hTexRef, @Cast("CUfilter_mode") int fm);
/**
* \brief Sets the mipmap level bias for a texture reference
*
* Specifies the mipmap level bias \p bias to be added to the specified mipmap level when
* reading memory through the texture reference \p hTexRef.
*
* Note that this call has no effect if \p hTexRef is not bound to a mipmapped array.
*
* @param hTexRef - Texture reference
* @param bias - Mipmap level bias
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetMipmapLevelBias(CUtexref_st hTexRef, float bias);
/**
* \brief Sets the mipmap min/max mipmap level clamps for a texture reference
*
* Specifies the min/max mipmap level clamps, \p minMipmapLevelClamp and \p maxMipmapLevelClamp
* respectively, to be used when reading memory through the texture reference
* \p hTexRef.
*
* Note that this call has no effect if \p hTexRef is not bound to a mipmapped array.
*
* @param hTexRef - Texture reference
* @param minMipmapLevelClamp - Mipmap min level clamp
* @param maxMipmapLevelClamp - Mipmap max level clamp
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetMipmapLevelClamp(CUtexref_st hTexRef, float minMipmapLevelClamp, float maxMipmapLevelClamp);
/**
* \brief Sets the maximum anisotropy for a texture reference
*
* Specifies the maximum anisotropy \p maxAniso to be used when reading memory through
* the texture reference \p hTexRef.
*
* Note that this call has no effect if \p hTexRef is bound to linear memory.
*
* @param hTexRef - Texture reference
* @param maxAniso - Maximum anisotropy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetMaxAnisotropy(CUtexref_st hTexRef, @Cast("unsigned int") int maxAniso);
/**
* \brief Sets the flags for a texture reference
*
* Specifies optional flags via \p Flags to specify the behavior of data
* returned through the texture reference \p hTexRef. The valid flags are:
*
* - ::CU_TRSF_READ_AS_INTEGER, which suppresses the default behavior of
* having the texture promote integer data to floating point data in the
* range [0, 1]. Note that texture with 32-bit integer format
* would not be promoted, regardless of whether or not this
* flag is specified;
* - ::CU_TRSF_NORMALIZED_COORDINATES, which suppresses the
* default behavior of having the texture coordinates range
* from [0, Dim) where Dim is the width or height of the CUDA
* array. Instead, the texture coordinates [0, 1.0) reference
* the entire breadth of the array dimension;
*
* @param hTexRef - Texture reference
* @param Flags - Optional flags to set
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefSetFlags(CUtexref_st hTexRef, @Cast("unsigned int") int Flags);
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Gets the address associated with a texture reference
*
* Returns in \p *pdptr the base address bound to the texture reference
* \p hTexRef, or returns ::CUDA_ERROR_INVALID_VALUE if the texture reference
* is not bound to any device memory range.
*
* @param pdptr - Returned device address
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetAddress(@Cast("CUdeviceptr*") LongPointer pdptr, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetAddress(@Cast("CUdeviceptr*") LongBuffer pdptr, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetAddress(@Cast("CUdeviceptr*") long[] pdptr, CUtexref_st hTexRef);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Gets the array bound to a texture reference
*
* Returns in \p *phArray the CUDA array bound to the texture reference
* \p hTexRef, or returns ::CUDA_ERROR_INVALID_VALUE if the texture reference
* is not bound to any CUDA array.
*
* @param phArray - Returned array
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetArray(@ByPtrPtr CUarray_st phArray, CUtexref_st hTexRef);
/**
* \brief Gets the mipmapped array bound to a texture reference
*
* Returns in \p *phMipmappedArray the CUDA mipmapped array bound to the texture
* reference \p hTexRef, or returns ::CUDA_ERROR_INVALID_VALUE if the texture reference
* is not bound to any CUDA mipmapped array.
*
* @param phMipmappedArray - Returned mipmapped array
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetMipmappedArray(@ByPtrPtr CUmipmappedArray_st phMipmappedArray, CUtexref_st hTexRef);
/**
* \brief Gets the addressing mode used by a texture reference
*
* Returns in \p *pam the addressing mode corresponding to the
* dimension \p dim of the texture reference \p hTexRef. Currently, the only
* valid value for \p dim are 0 and 1.
*
* @param pam - Returned addressing mode
* @param hTexRef - Texture reference
* @param dim - Dimension
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetAddressMode(@Cast("CUaddress_mode*") IntPointer pam, CUtexref_st hTexRef, int dim);
public static native @Cast("CUresult") int cuTexRefGetAddressMode(@Cast("CUaddress_mode*") IntBuffer pam, CUtexref_st hTexRef, int dim);
public static native @Cast("CUresult") int cuTexRefGetAddressMode(@Cast("CUaddress_mode*") int[] pam, CUtexref_st hTexRef, int dim);
/**
* \brief Gets the filter-mode used by a texture reference
*
* Returns in \p *pfm the filtering mode of the texture reference
* \p hTexRef.
*
* @param pfm - Returned filtering mode
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetFilterMode(@Cast("CUfilter_mode*") IntPointer pfm, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetFilterMode(@Cast("CUfilter_mode*") IntBuffer pfm, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetFilterMode(@Cast("CUfilter_mode*") int[] pfm, CUtexref_st hTexRef);
/**
* \brief Gets the format used by a texture reference
*
* Returns in \p *pFormat and \p *pNumChannels the format and number
* of components of the CUDA array bound to the texture reference \p hTexRef.
* If \p pFormat or \p pNumChannels is NULL, it will be ignored.
*
* @param pFormat - Returned format
* @param pNumChannels - Returned number of components
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags
*/
public static native @Cast("CUresult") int cuTexRefGetFormat(@Cast("CUarray_format*") IntPointer pFormat, IntPointer pNumChannels, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetFormat(@Cast("CUarray_format*") IntBuffer pFormat, IntBuffer pNumChannels, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetFormat(@Cast("CUarray_format*") int[] pFormat, int[] pNumChannels, CUtexref_st hTexRef);
/**
* \brief Gets the mipmap filtering mode for a texture reference
*
* Returns the mipmap filtering mode in \p pfm that's used when reading memory through
* the texture reference \p hTexRef.
*
* @param pfm - Returned mipmap filtering mode
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetMipmapFilterMode(@Cast("CUfilter_mode*") IntPointer pfm, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMipmapFilterMode(@Cast("CUfilter_mode*") IntBuffer pfm, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMipmapFilterMode(@Cast("CUfilter_mode*") int[] pfm, CUtexref_st hTexRef);
/**
* \brief Gets the mipmap level bias for a texture reference
*
* Returns the mipmap level bias in \p pBias that's added to the specified mipmap
* level when reading memory through the texture reference \p hTexRef.
*
* @param pbias - Returned mipmap level bias
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetMipmapLevelBias(FloatPointer pbias, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMipmapLevelBias(FloatBuffer pbias, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMipmapLevelBias(float[] pbias, CUtexref_st hTexRef);
/**
* \brief Gets the min/max mipmap level clamps for a texture reference
*
* Returns the min/max mipmap level clamps in \p pminMipmapLevelClamp and \p pmaxMipmapLevelClamp
* that's used when reading memory through the texture reference \p hTexRef.
*
* @param pminMipmapLevelClamp - Returned mipmap min level clamp
* @param pmaxMipmapLevelClamp - Returned mipmap max level clamp
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetMipmapLevelClamp(FloatPointer pminMipmapLevelClamp, FloatPointer pmaxMipmapLevelClamp, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMipmapLevelClamp(FloatBuffer pminMipmapLevelClamp, FloatBuffer pmaxMipmapLevelClamp, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMipmapLevelClamp(float[] pminMipmapLevelClamp, float[] pmaxMipmapLevelClamp, CUtexref_st hTexRef);
/**
* \brief Gets the maximum anisotropy for a texture reference
*
* Returns the maximum anisotropy in \p pmaxAniso that's used when reading memory through
* the texture reference \p hTexRef.
*
* @param pmaxAniso - Returned maximum anisotropy
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFlags, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetMaxAnisotropy(IntPointer pmaxAniso, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMaxAnisotropy(IntBuffer pmaxAniso, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetMaxAnisotropy(int[] pmaxAniso, CUtexref_st hTexRef);
/**
* \brief Gets the flags used by a texture reference
*
* Returns in \p *pFlags the flags of the texture reference \p hTexRef.
*
* @param pFlags - Returned flags
* @param hTexRef - Texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefSetAddress,
* ::cuTexRefSetAddress2D, ::cuTexRefSetAddressMode, ::cuTexRefSetArray,
* ::cuTexRefSetFilterMode, ::cuTexRefSetFlags, ::cuTexRefSetFormat,
* ::cuTexRefGetAddress, ::cuTexRefGetAddressMode, ::cuTexRefGetArray,
* ::cuTexRefGetFilterMode, ::cuTexRefGetFormat
*/
public static native @Cast("CUresult") int cuTexRefGetFlags(@Cast("unsigned int*") IntPointer pFlags, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetFlags(@Cast("unsigned int*") IntBuffer pFlags, CUtexref_st hTexRef);
public static native @Cast("CUresult") int cuTexRefGetFlags(@Cast("unsigned int*") int[] pFlags, CUtexref_st hTexRef);
/** \} */ /* END CUDA_TEXREF */
/**
* \defgroup CUDA_TEXREF_DEPRECATED Texture Reference Management [DEPRECATED]
*
* ___MANBRIEF___ deprecated texture reference management functions of the
* low-level CUDA driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the deprecated texture reference management
* functions of the low-level CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Creates a texture reference
*
* @deprecated
*
* Creates a texture reference and returns its handle in \p *pTexRef. Once
* created, the application must call ::cuTexRefSetArray() or
* ::cuTexRefSetAddress() to associate the reference with allocated memory.
* Other texture reference functions are used to specify the format and
* interpretation (addressing, filtering, etc.) to be used when the memory is
* read through this texture reference.
*
* @param pTexRef - Returned texture reference
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefDestroy
*/
public static native @Cast("CUresult") int cuTexRefCreate(@ByPtrPtr CUtexref_st pTexRef);
/**
* \brief Destroys a texture reference
*
* @deprecated
*
* Destroys the texture reference specified by \p hTexRef.
*
* @param hTexRef - Texture reference to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexRefCreate
*/
public static native @Cast("CUresult") int cuTexRefDestroy(CUtexref_st hTexRef);
/** \} */ /* END CUDA_TEXREF_DEPRECATED */
/**
* \defgroup CUDA_SURFREF Surface Reference Management
*
* ___MANBRIEF___ surface reference management functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the surface reference management functions of the
* low-level CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Sets the CUDA array for a surface reference.
*
* Sets the CUDA array \p hArray to be read and written by the surface reference
* \p hSurfRef. Any previous CUDA array state associated with the surface
* reference is superseded by this function. \p Flags must be set to 0.
* The ::CUDA_ARRAY3D_SURFACE_LDST flag must have been set for the CUDA array.
* Any CUDA array previously bound to \p hSurfRef is unbound.
* @param hSurfRef - Surface reference handle
* @param hArray - CUDA array handle
* @param Flags - set to 0
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuModuleGetSurfRef, ::cuSurfRefGetArray
*/
public static native @Cast("CUresult") int cuSurfRefSetArray(CUsurfref_st hSurfRef, CUarray_st hArray, @Cast("unsigned int") int Flags);
/**
* \brief Passes back the CUDA array bound to a surface reference.
*
* Returns in \p *phArray the CUDA array bound to the surface reference
* \p hSurfRef, or returns ::CUDA_ERROR_INVALID_VALUE if the surface reference
* is not bound to any CUDA array.
* @param phArray - Surface reference handle
* @param hSurfRef - Surface reference handle
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuModuleGetSurfRef, ::cuSurfRefSetArray
*/
public static native @Cast("CUresult") int cuSurfRefGetArray(@ByPtrPtr CUarray_st phArray, CUsurfref_st hSurfRef);
/** \} */ /* END CUDA_SURFREF */
// #if __CUDA_API_VERSION >= 5000
/**
* \defgroup CUDA_TEXOBJECT Texture Object Management
*
* ___MANBRIEF___ texture object management functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the texture object management functions of the
* low-level CUDA driver application programming interface. The texture
* object API is only supported on devices of compute capability 3.0 or higher.
*
* \{
*/
/**
* \brief Creates a texture object
*
* Creates a texture object and returns it in \p pTexObject. \p pResDesc describes
* the data to texture from. \p pTexDesc describes how the data should be sampled.
* \p pResViewDesc is an optional argument that specifies an alternate format for
* the data described by \p pResDesc, and also describes the subresource region
* to restrict access to when texturing. \p pResViewDesc can only be specified if
* the type of resource is a CUDA array or a CUDA mipmapped array.
*
* Texture objects are only supported on devices of compute capability 3.0 or higher.
* Additionally, a texture object is an opaque value, and, as such, should only be
* accessed through CUDA API calls.
*
* The ::CUDA_RESOURCE_DESC structure is defined as:
*
{@code
typedef struct CUDA_RESOURCE_DESC_st
{
CUresourcetype resType;
union {
struct {
CUarray hArray;
} array;
struct {
CUmipmappedArray hMipmappedArray;
} mipmap;
struct {
CUdeviceptr devPtr;
CUarray_format format;
unsigned int numChannels;
size_t sizeInBytes;
} linear;
struct {
CUdeviceptr devPtr;
CUarray_format format;
unsigned int numChannels;
size_t width;
size_t height;
size_t pitchInBytes;
} pitch2D;
} res;
unsigned int flags;
} CUDA_RESOURCE_DESC;
* }
* where:
* - ::CUDA_RESOURCE_DESC::resType specifies the type of resource to texture from.
* CUresourceType is defined as:
* {@code
typedef enum CUresourcetype_enum {
CU_RESOURCE_TYPE_ARRAY = 0x00,
CU_RESOURCE_TYPE_MIPMAPPED_ARRAY = 0x01,
CU_RESOURCE_TYPE_LINEAR = 0x02,
CU_RESOURCE_TYPE_PITCH2D = 0x03
} CUresourcetype;
* }
*
* \par
* If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_ARRAY, ::CUDA_RESOURCE_DESC::res::array::hArray
* must be set to a valid CUDA array handle.
*
* \par
* If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_MIPMAPPED_ARRAY, ::CUDA_RESOURCE_DESC::res::mipmap::hMipmappedArray
* must be set to a valid CUDA mipmapped array handle.
*
* \par
* If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_LINEAR, ::CUDA_RESOURCE_DESC::res::linear::devPtr
* must be set to a valid device pointer, that is aligned to ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT.
* ::CUDA_RESOURCE_DESC::res::linear::format and ::CUDA_RESOURCE_DESC::res::linear::numChannels
* describe the format of each component and the number of components per array element. ::CUDA_RESOURCE_DESC::res::linear::sizeInBytes
* specifies the size of the array in bytes. The total number of elements in the linear address range cannot exceed
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE1D_LINEAR_WIDTH. The number of elements is computed as (sizeInBytes / (sizeof(format) * numChannels)).
*
* \par
* If ::CUDA_RESOURCE_DESC::resType is set to ::CU_RESOURCE_TYPE_PITCH2D, ::CUDA_RESOURCE_DESC::res::pitch2D::devPtr
* must be set to a valid device pointer, that is aligned to ::CU_DEVICE_ATTRIBUTE_TEXTURE_ALIGNMENT.
* ::CUDA_RESOURCE_DESC::res::pitch2D::format and ::CUDA_RESOURCE_DESC::res::pitch2D::numChannels
* describe the format of each component and the number of components per array element. ::CUDA_RESOURCE_DESC::res::pitch2D::width
* and ::CUDA_RESOURCE_DESC::res::pitch2D::height specify the width and height of the array in elements, and cannot exceed
* ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_WIDTH and ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_HEIGHT respectively.
* ::CUDA_RESOURCE_DESC::res::pitch2D::pitchInBytes specifies the pitch between two rows in bytes and has to be aligned to
* ::CU_DEVICE_ATTRIBUTE_TEXTURE_PITCH_ALIGNMENT. Pitch cannot exceed ::CU_DEVICE_ATTRIBUTE_MAXIMUM_TEXTURE2D_LINEAR_PITCH.
*
* - ::flags must be set to zero.
*
*
* The ::CUDA_TEXTURE_DESC struct is defined as
* {@code
typedef struct CUDA_TEXTURE_DESC_st {
CUaddress_mode addressMode[3];
CUfilter_mode filterMode;
unsigned int flags;
unsigned int maxAnisotropy;
CUfilter_mode mipmapFilterMode;
float mipmapLevelBias;
float minMipmapLevelClamp;
float maxMipmapLevelClamp;
} CUDA_TEXTURE_DESC;
* }
* where
* - ::CUDA_TEXTURE_DESC::addressMode specifies the addressing mode for each dimension of the texture data. ::CUaddress_mode is defined as:
* {@code
typedef enum CUaddress_mode_enum {
CU_TR_ADDRESS_MODE_WRAP = 0,
CU_TR_ADDRESS_MODE_CLAMP = 1,
CU_TR_ADDRESS_MODE_MIRROR = 2,
CU_TR_ADDRESS_MODE_BORDER = 3
} CUaddress_mode;
* }
* This is ignored if ::CUDA_RESOURCE_DESC::resType is ::CU_RESOURCE_TYPE_LINEAR. Also, if the flag, ::CU_TRSF_NORMALIZED_COORDINATES
* is not set, the only supported address mode is ::CU_TR_ADDRESS_MODE_CLAMP.
*
* - ::CUDA_TEXTURE_DESC::filterMode specifies the filtering mode to be used when fetching from the texture. CUfilter_mode is defined as:
* {@code
typedef enum CUfilter_mode_enum {
CU_TR_FILTER_MODE_POINT = 0,
CU_TR_FILTER_MODE_LINEAR = 1
} CUfilter_mode;
* }
* This is ignored if ::CUDA_RESOURCE_DESC::resType is ::CU_RESOURCE_TYPE_LINEAR.
*
* - ::CUDA_TEXTURE_DESC::flags can be any combination of the following:
* - ::CU_TRSF_READ_AS_INTEGER, which suppresses the default behavior of having the texture promote integer data to floating point data in the
* range [0, 1]. Note that texture with 32-bit integer format would not be promoted, regardless of whether or not this flag is specified.
* - ::CU_TRSF_NORMALIZED_COORDINATES, which suppresses the default behavior of having the texture coordinates range from [0, Dim) where Dim is
* the width or height of the CUDA array. Instead, the texture coordinates [0, 1.0) reference the entire breadth of the array dimension; Note
* that for CUDA mipmapped arrays, this flag has to be set.
*
* - ::CUDA_TEXTURE_DESC::maxAnisotropy specifies the maximum anisotropy ratio to be used when doing anisotropic filtering. This value will be
* clamped to the range [1,16].
*
* - ::CUDA_TEXTURE_DESC::mipmapFilterMode specifies the filter mode when the calculated mipmap level lies between two defined mipmap levels.
*
* - ::CUDA_TEXTURE_DESC::mipmapLevelBias specifies the offset to be applied to the calculated mipmap level.
*
* - ::CUDA_TEXTURE_DESC::minMipmapLevelClamp specifies the lower end of the mipmap level range to clamp access to.
*
* - ::CUDA_TEXTURE_DESC::maxMipmapLevelClamp specifies the upper end of the mipmap level range to clamp access to.
*
*
* The ::CUDA_RESOURCE_VIEW_DESC struct is defined as
* {@code
typedef struct CUDA_RESOURCE_VIEW_DESC_st
{
CUresourceViewFormat format;
size_t width;
size_t height;
size_t depth;
unsigned int firstMipmapLevel;
unsigned int lastMipmapLevel;
unsigned int firstLayer;
unsigned int lastLayer;
} CUDA_RESOURCE_VIEW_DESC;
* }
* where:
* - ::CUDA_RESOURCE_VIEW_DESC::format specifies how the data contained in the CUDA array or CUDA mipmapped array should
* be interpreted. Note that this can incur a change in size of the texture data. If the resource view format is a block
* compressed format, then the underlying CUDA array or CUDA mipmapped array has to have a base of format ::CU_AD_FORMAT_UNSIGNED_INT32.
* with 2 or 4 channels, depending on the block compressed format. For ex., BC1 and BC4 require the underlying CUDA array to have
* a format of ::CU_AD_FORMAT_UNSIGNED_INT32 with 2 channels. The other BC formats require the underlying resource to have the same base
* format but with 4 channels.
*
* - ::CUDA_RESOURCE_VIEW_DESC::width specifies the new width of the texture data. If the resource view format is a block
* compressed format, this value has to be 4 times the original width of the resource. For non block compressed formats,
* this value has to be equal to that of the original resource.
*
* - ::CUDA_RESOURCE_VIEW_DESC::height specifies the new height of the texture data. If the resource view format is a block
* compressed format, this value has to be 4 times the original height of the resource. For non block compressed formats,
* this value has to be equal to that of the original resource.
*
* - ::CUDA_RESOURCE_VIEW_DESC::depth specifies the new depth of the texture data. This value has to be equal to that of the
* original resource.
*
* - ::CUDA_RESOURCE_VIEW_DESC::firstMipmapLevel specifies the most detailed mipmap level. This will be the new mipmap level zero.
* For non-mipmapped resources, this value has to be zero.::CUDA_TEXTURE_DESC::minMipmapLevelClamp and ::CUDA_TEXTURE_DESC::maxMipmapLevelClamp
* will be relative to this value. For ex., if the firstMipmapLevel is set to 2, and a minMipmapLevelClamp of 1.2 is specified,
* then the actual minimum mipmap level clamp will be 3.2.
*
* - ::CUDA_RESOURCE_VIEW_DESC::lastMipmapLevel specifies the least detailed mipmap level. For non-mipmapped resources, this value
* has to be zero.
*
* - ::CUDA_RESOURCE_VIEW_DESC::firstLayer specifies the first layer index for layered textures. This will be the new layer zero.
* For non-layered resources, this value has to be zero.
*
* - ::CUDA_RESOURCE_VIEW_DESC::lastLayer specifies the last layer index for layered textures. For non-layered resources,
* this value has to be zero.
*
*
* @param pTexObject - Texture object to create
* @param pResDesc - Resource descriptor
* @param pTexDesc - Texture descriptor
* @param pResViewDesc - Resource view descriptor
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexObjectDestroy
*/
public static native @Cast("CUresult") int cuTexObjectCreate(@Cast("CUtexObject*") LongPointer pTexObject, @Const CUDA_RESOURCE_DESC pResDesc, @Const CUDA_TEXTURE_DESC pTexDesc, @Const CUDA_RESOURCE_VIEW_DESC pResViewDesc);
public static native @Cast("CUresult") int cuTexObjectCreate(@Cast("CUtexObject*") LongBuffer pTexObject, @Const CUDA_RESOURCE_DESC pResDesc, @Const CUDA_TEXTURE_DESC pTexDesc, @Const CUDA_RESOURCE_VIEW_DESC pResViewDesc);
public static native @Cast("CUresult") int cuTexObjectCreate(@Cast("CUtexObject*") long[] pTexObject, @Const CUDA_RESOURCE_DESC pResDesc, @Const CUDA_TEXTURE_DESC pTexDesc, @Const CUDA_RESOURCE_VIEW_DESC pResViewDesc);
/**
* \brief Destroys a texture object
*
* Destroys the texture object specified by \p texObject.
*
* @param texObject - Texture object to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexObjectCreate
*/
public static native @Cast("CUresult") int cuTexObjectDestroy(@Cast("CUtexObject") long texObject);
/**
* \brief Returns a texture object's resource descriptor
*
* Returns the resource descriptor for the texture object specified by \p texObject.
*
* @param pResDesc - Resource descriptor
* @param texObject - Texture object
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexObjectCreate
*/
public static native @Cast("CUresult") int cuTexObjectGetResourceDesc(CUDA_RESOURCE_DESC pResDesc, @Cast("CUtexObject") long texObject);
/**
* \brief Returns a texture object's texture descriptor
*
* Returns the texture descriptor for the texture object specified by \p texObject.
*
* @param pTexDesc - Texture descriptor
* @param texObject - Texture object
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexObjectCreate
*/
public static native @Cast("CUresult") int cuTexObjectGetTextureDesc(CUDA_TEXTURE_DESC pTexDesc, @Cast("CUtexObject") long texObject);
/**
* \brief Returns a texture object's resource view descriptor
*
* Returns the resource view descriptor for the texture object specified by \p texObject.
* If no resource view was set for \p texObject, the ::CUDA_ERROR_INVALID_VALUE is returned.
*
* @param pResViewDesc - Resource view descriptor
* @param texObject - Texture object
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuTexObjectCreate
*/
public static native @Cast("CUresult") int cuTexObjectGetResourceViewDesc(CUDA_RESOURCE_VIEW_DESC pResViewDesc, @Cast("CUtexObject") long texObject);
/** \} */ /* END CUDA_TEXOBJECT */
/**
* \defgroup CUDA_SURFOBJECT Surface Object Management
*
* ___MANBRIEF___ surface object management functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the surface object management functions of the
* low-level CUDA driver application programming interface. The surface
* object API is only supported on devices of compute capability 3.0 or higher.
*
* \{
*/
/**
* \brief Creates a surface object
*
* Creates a surface object and returns it in \p pSurfObject. \p pResDesc describes
* the data to perform surface load/stores on. ::CUDA_RESOURCE_DESC::resType must be
* ::CU_RESOURCE_TYPE_ARRAY and ::CUDA_RESOURCE_DESC::res::array::hArray
* must be set to a valid CUDA array handle. ::CUDA_RESOURCE_DESC::flags must be set to zero.
*
* Surface objects are only supported on devices of compute capability 3.0 or higher.
* Additionally, a surface object is an opaque value, and, as such, should only be
* accessed through CUDA API calls.
*
* @param pSurfObject - Surface object to create
* @param pResDesc - Resource descriptor
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuSurfObjectDestroy
*/
public static native @Cast("CUresult") int cuSurfObjectCreate(@Cast("CUsurfObject*") LongPointer pSurfObject, @Const CUDA_RESOURCE_DESC pResDesc);
public static native @Cast("CUresult") int cuSurfObjectCreate(@Cast("CUsurfObject*") LongBuffer pSurfObject, @Const CUDA_RESOURCE_DESC pResDesc);
public static native @Cast("CUresult") int cuSurfObjectCreate(@Cast("CUsurfObject*") long[] pSurfObject, @Const CUDA_RESOURCE_DESC pResDesc);
/**
* \brief Destroys a surface object
*
* Destroys the surface object specified by \p surfObject.
*
* @param surfObject - Surface object to destroy
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuSurfObjectCreate
*/
public static native @Cast("CUresult") int cuSurfObjectDestroy(@Cast("CUsurfObject") long surfObject);
/**
* \brief Returns a surface object's resource descriptor
*
* Returns the resource descriptor for the surface object specified by \p surfObject.
*
* @param pResDesc - Resource descriptor
* @param surfObject - Surface object
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE
*
* \sa ::cuSurfObjectCreate
*/
public static native @Cast("CUresult") int cuSurfObjectGetResourceDesc(CUDA_RESOURCE_DESC pResDesc, @Cast("CUsurfObject") long surfObject);
/** \} */ /* END CUDA_SURFOBJECT */
// #endif /* __CUDA_API_VERSION >= 5000 */
// #if __CUDA_API_VERSION >= 4000
/**
* \defgroup CUDA_PEER_ACCESS Peer Context Memory Access
*
* ___MANBRIEF___ direct peer context memory access functions of the low-level
* CUDA driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the direct peer context memory access functions
* of the low-level CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Queries if a device may directly access a peer device's memory.
*
* Returns in \p *canAccessPeer a value of 1 if contexts on \p dev are capable of
* directly accessing memory from contexts on \p peerDev and 0 otherwise.
* If direct access of \p peerDev from \p dev is possible, then access may be
* enabled on two specific contexts by calling ::cuCtxEnablePeerAccess().
*
* @param canAccessPeer - Returned access capability
* @param dev - Device from which allocations on \p peerDev are to
* be directly accessed.
* @param peerDev - Device on which the allocations to be directly accessed
* by \p dev reside.
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_DEVICE
* \notefnerr
*
* \sa ::cuCtxEnablePeerAccess,
* ::cuCtxDisablePeerAccess
*/
public static native @Cast("CUresult") int cuDeviceCanAccessPeer(IntPointer canAccessPeer, @Cast("CUdevice") int dev, @Cast("CUdevice") int peerDev);
public static native @Cast("CUresult") int cuDeviceCanAccessPeer(IntBuffer canAccessPeer, @Cast("CUdevice") int dev, @Cast("CUdevice") int peerDev);
public static native @Cast("CUresult") int cuDeviceCanAccessPeer(int[] canAccessPeer, @Cast("CUdevice") int dev, @Cast("CUdevice") int peerDev);
/**
* \brief Enables direct access to memory allocations in a peer context.
*
* If both the current context and \p peerContext are on devices which support unified
* addressing (as may be queried using ::CU_DEVICE_ATTRIBUTE_UNIFIED_ADDRESSING) and same
* major compute capability, then on success all allocations from \p peerContext will
* immediately be accessible by the current context. See \ref CUDA_UNIFIED for additional
* details.
*
* Note that access granted by this call is unidirectional and that in order to access
* memory from the current context in \p peerContext, a separate symmetric call
* to ::cuCtxEnablePeerAccess() is required.
*
* There is a system-wide maximum of eight peer connections per device.
*
* Returns ::CUDA_ERROR_PEER_ACCESS_UNSUPPORTED if ::cuDeviceCanAccessPeer() indicates
* that the ::CUdevice of the current context cannot directly access memory
* from the ::CUdevice of \p peerContext.
*
* Returns ::CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED if direct access of
* \p peerContext from the current context has already been enabled.
*
* Returns ::CUDA_ERROR_TOO_MANY_PEERS if direct peer access is not possible
* because hardware resources required for peer access have been exhausted.
*
* Returns ::CUDA_ERROR_INVALID_CONTEXT if there is no current context, \p peerContext
* is not a valid context, or if the current context is \p peerContext.
*
* Returns ::CUDA_ERROR_INVALID_VALUE if \p Flags is not 0.
*
* @param peerContext - Peer context to enable direct access to from the current context
* @param Flags - Reserved for future use and must be set to 0
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED,
* ::CUDA_ERROR_TOO_MANY_PEERS,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_PEER_ACCESS_UNSUPPORTED,
* ::CUDA_ERROR_INVALID_VALUE
* \notefnerr
*
* \sa ::cuDeviceCanAccessPeer,
* ::cuCtxDisablePeerAccess
*/
public static native @Cast("CUresult") int cuCtxEnablePeerAccess(CUctx_st peerContext, @Cast("unsigned int") int Flags);
/**
* \brief Disables direct access to memory allocations in a peer context and
* unregisters any registered allocations.
*
Returns ::CUDA_ERROR_PEER_ACCESS_NOT_ENABLED if direct peer access has
* not yet been enabled from \p peerContext to the current context.
*
* Returns ::CUDA_ERROR_INVALID_CONTEXT if there is no current context, or if
* \p peerContext is not a valid context.
*
* @param peerContext - Peer context to disable direct access to
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_PEER_ACCESS_NOT_ENABLED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* \notefnerr
*
* \sa ::cuDeviceCanAccessPeer,
* ::cuCtxEnablePeerAccess
*/
public static native @Cast("CUresult") int cuCtxDisablePeerAccess(CUctx_st peerContext);
/** \} */ /* END CUDA_PEER_ACCESS */
// #endif /* __CUDA_API_VERSION >= 4000 */
/**
* \defgroup CUDA_GRAPHICS Graphics Interoperability
*
* ___MANBRIEF___ graphics interoperability functions of the low-level CUDA
* driver API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the graphics interoperability functions of the
* low-level CUDA driver application programming interface.
*
* \{
*/
/**
* \brief Unregisters a graphics resource for access by CUDA
*
* Unregisters the graphics resource \p resource so it is not accessible by
* CUDA unless registered again.
*
* If \p resource is invalid then ::CUDA_ERROR_INVALID_HANDLE is
* returned.
*
* @param resource - Resource to unregister
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_UNKNOWN
* \notefnerr
*
* \sa
* ::cuGraphicsD3D9RegisterResource,
* ::cuGraphicsD3D10RegisterResource,
* ::cuGraphicsD3D11RegisterResource,
* ::cuGraphicsGLRegisterBuffer,
* ::cuGraphicsGLRegisterImage
*/
public static native @Cast("CUresult") int cuGraphicsUnregisterResource(CUgraphicsResource_st resource);
/**
* \brief Get an array through which to access a subresource of a mapped graphics resource.
*
* Returns in \p *pArray an array through which the subresource of the mapped
* graphics resource \p resource which corresponds to array index \p arrayIndex
* and mipmap level \p mipLevel may be accessed. The value set in \p *pArray may
* change every time that \p resource is mapped.
*
* If \p resource is not a texture then it cannot be accessed via an array and
* ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY is returned.
* If \p arrayIndex is not a valid array index for \p resource then
* ::CUDA_ERROR_INVALID_VALUE is returned.
* If \p mipLevel is not a valid mipmap level for \p resource then
* ::CUDA_ERROR_INVALID_VALUE is returned.
* If \p resource is not mapped then ::CUDA_ERROR_NOT_MAPPED is returned.
*
* @param pArray - Returned array through which a subresource of \p resource may be accessed
* @param resource - Mapped resource to access
* @param arrayIndex - Array index for array textures or cubemap face
* index as defined by ::CUarray_cubemap_face for
* cubemap textures for the subresource to access
* @param mipLevel - Mipmap level for the subresource to access
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_MAPPED,
* ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY
* \notefnerr
*
* \sa ::cuGraphicsResourceGetMappedPointer
*/
public static native @Cast("CUresult") int cuGraphicsSubResourceGetMappedArray(@ByPtrPtr CUarray_st pArray, CUgraphicsResource_st resource, @Cast("unsigned int") int arrayIndex, @Cast("unsigned int") int mipLevel);
// #if __CUDA_API_VERSION >= 5000
/**
* \brief Get a mipmapped array through which to access a mapped graphics resource.
*
* Returns in \p *pMipmappedArray a mipmapped array through which the mapped graphics
* resource \p resource. The value set in \p *pMipmappedArray may change every time
* that \p resource is mapped.
*
* If \p resource is not a texture then it cannot be accessed via a mipmapped array and
* ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY is returned.
* If \p resource is not mapped then ::CUDA_ERROR_NOT_MAPPED is returned.
*
* @param pMipmappedArray - Returned mipmapped array through which \p resource may be accessed
* @param resource - Mapped resource to access
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_MAPPED,
* ::CUDA_ERROR_NOT_MAPPED_AS_ARRAY
* \notefnerr
*
* \sa ::cuGraphicsResourceGetMappedPointer
*/
public static native @Cast("CUresult") int cuGraphicsResourceGetMappedMipmappedArray(@ByPtrPtr CUmipmappedArray_st pMipmappedArray, CUgraphicsResource_st resource);
// #endif /* __CUDA_API_VERSION >= 5000 */
// #if __CUDA_API_VERSION >= 3020
/**
* \brief Get a device pointer through which to access a mapped graphics resource.
*
* Returns in \p *pDevPtr a pointer through which the mapped graphics resource
* \p resource may be accessed.
* Returns in \p pSize the size of the memory in bytes which may be accessed from that pointer.
* The value set in \p pPointer may change every time that \p resource is mapped.
*
* If \p resource is not a buffer then it cannot be accessed via a pointer and
* ::CUDA_ERROR_NOT_MAPPED_AS_POINTER is returned.
* If \p resource is not mapped then ::CUDA_ERROR_NOT_MAPPED is returned.
* *
* @param pDevPtr - Returned pointer through which \p resource may be accessed
* @param pSize - Returned size of the buffer accessible starting at \p *pPointer
* @param resource - Mapped resource to access
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_MAPPED,
* ::CUDA_ERROR_NOT_MAPPED_AS_POINTER
* \notefnerr
*
* \sa
* ::cuGraphicsMapResources,
* ::cuGraphicsSubResourceGetMappedArray
*/
public static native @Cast("CUresult") int cuGraphicsResourceGetMappedPointer(@Cast("CUdeviceptr*") LongPointer pDevPtr, @Cast("size_t*") SizeTPointer pSize, CUgraphicsResource_st resource);
public static native @Cast("CUresult") int cuGraphicsResourceGetMappedPointer(@Cast("CUdeviceptr*") LongBuffer pDevPtr, @Cast("size_t*") SizeTPointer pSize, CUgraphicsResource_st resource);
public static native @Cast("CUresult") int cuGraphicsResourceGetMappedPointer(@Cast("CUdeviceptr*") long[] pDevPtr, @Cast("size_t*") SizeTPointer pSize, CUgraphicsResource_st resource);
// #endif /* __CUDA_API_VERSION >= 3020 */
/**
* \brief Set usage flags for mapping a graphics resource
*
* Set \p flags for mapping the graphics resource \p resource.
*
* Changes to \p flags will take effect the next time \p resource is mapped.
* The \p flags argument may be any of the following:
* - ::CU_GRAPHICS_MAP_RESOURCE_FLAGS_NONE: Specifies no hints about how this
* resource will be used. It is therefore assumed that this resource will be
* read from and written to by CUDA kernels. This is the default value.
* - ::CU_GRAPHICS_MAP_RESOURCE_FLAGS_READONLY: Specifies that CUDA kernels which
* access this resource will not write to this resource.
* - ::CU_GRAPHICS_MAP_RESOURCE_FLAGS_WRITEDISCARD: Specifies that CUDA kernels
* which access this resource will not read from this resource and will
* write over the entire contents of the resource, so none of the data
* previously stored in the resource will be preserved.
*
* If \p resource is presently mapped for access by CUDA then
* ::CUDA_ERROR_ALREADY_MAPPED is returned.
* If \p flags is not one of the above values then ::CUDA_ERROR_INVALID_VALUE is returned.
*
* @param resource - Registered resource to set flags for
* @param flags - Parameters for resource mapping
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_VALUE,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_ALREADY_MAPPED
* \notefnerr
*
* \sa
* ::cuGraphicsMapResources
*/
public static native @Cast("CUresult") int cuGraphicsResourceSetMapFlags(CUgraphicsResource_st resource, @Cast("unsigned int") int flags);
/**
* \brief Map graphics resources for access by CUDA
*
* Maps the \p count graphics resources in \p resources for access by CUDA.
*
* The resources in \p resources may be accessed by CUDA until they
* are unmapped. The graphics API from which \p resources were registered
* should not access any resources while they are mapped by CUDA. If an
* application does so, the results are undefined.
*
* This function provides the synchronization guarantee that any graphics calls
* issued before ::cuGraphicsMapResources() will complete before any subsequent CUDA
* work issued in \p stream begins.
*
* If \p resources includes any duplicate entries then ::CUDA_ERROR_INVALID_HANDLE is returned.
* If any of \p resources are presently mapped for access by CUDA then ::CUDA_ERROR_ALREADY_MAPPED is returned.
*
* @param count - Number of resources to map
* @param resources - Resources to map for CUDA usage
* @param hStream - Stream with which to synchronize
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_ALREADY_MAPPED,
* ::CUDA_ERROR_UNKNOWN
* \note_null_stream
* \notefnerr
*
* \sa
* ::cuGraphicsResourceGetMappedPointer,
* ::cuGraphicsSubResourceGetMappedArray,
* ::cuGraphicsUnmapResources
*/
public static native @Cast("CUresult") int cuGraphicsMapResources(@Cast("unsigned int") int count, @ByPtrPtr CUgraphicsResource_st resources, CUstream_st hStream);
/**
* \brief Unmap graphics resources.
*
* Unmaps the \p count graphics resources in \p resources.
*
* Once unmapped, the resources in \p resources may not be accessed by CUDA
* until they are mapped again.
*
* This function provides the synchronization guarantee that any CUDA work issued
* in \p stream before ::cuGraphicsUnmapResources() will complete before any
* subsequently issued graphics work begins.
*
*
* If \p resources includes any duplicate entries then ::CUDA_ERROR_INVALID_HANDLE is returned.
* If any of \p resources are not presently mapped for access by CUDA then ::CUDA_ERROR_NOT_MAPPED is returned.
*
* @param count - Number of resources to unmap
* @param resources - Resources to unmap
* @param hStream - Stream with which to synchronize
*
* @return
* ::CUDA_SUCCESS,
* ::CUDA_ERROR_DEINITIALIZED,
* ::CUDA_ERROR_NOT_INITIALIZED,
* ::CUDA_ERROR_INVALID_CONTEXT,
* ::CUDA_ERROR_INVALID_HANDLE,
* ::CUDA_ERROR_NOT_MAPPED,
* ::CUDA_ERROR_UNKNOWN
* \note_null_stream
* \notefnerr
*
* \sa
* ::cuGraphicsMapResources
*/
public static native @Cast("CUresult") int cuGraphicsUnmapResources(@Cast("unsigned int") int count, @ByPtrPtr CUgraphicsResource_st resources, CUstream_st hStream);
/** \} */ /* END CUDA_GRAPHICS */
public static native @Cast("CUresult") int cuGetExportTable(@Cast("const void**") PointerPointer ppExportTable, @Const CUuuid pExportTableId);
public static native @Cast("CUresult") int cuGetExportTable(@Cast("const void**") @ByPtrPtr Pointer ppExportTable, @Const CUuuid pExportTableId);
/**
* CUDA API versioning support
*/
// #if defined(__CUDA_API_VERSION_INTERNAL)
// #endif /* __CUDA_API_VERSION_INTERNAL */
// #if defined(__CUDA_API_VERSION_INTERNAL) || (__CUDA_API_VERSION >= 4000 && __CUDA_API_VERSION < 6050)
// #endif /* defined(__CUDA_API_VERSION_INTERNAL) || (__CUDA_API_VERSION >= 4000 && __CUDA_API_VERSION < 6050) */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION < 6050
// #endif /* defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION < 6050 */
// #if defined(__CUDA_API_VERSION_INTERNAL) || (__CUDA_API_VERSION >= 5050 && __CUDA_API_VERSION < 6050)
// #endif /* __CUDA_API_VERSION_INTERNAL || (__CUDA_API_VERSION >= 5050 && __CUDA_API_VERSION < 6050) */
// #if defined(__CUDA_API_VERSION_INTERNAL) || (__CUDA_API_VERSION >= 3020 && __CUDA_API_VERSION < 4010)
// #endif /* __CUDA_API_VERSION_INTERNAL || (__CUDA_API_VERSION >= 3020 && __CUDA_API_VERSION < 4010) */
/**
* CUDA API made obselete at API version 3020
*/
// #if defined(__CUDA_API_VERSION_INTERNAL)
// #endif /* CUDA_FORCE_LEGACY32_INTERNAL */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION < 3020
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION < 3020 */
// #if defined(__CUDA_API_VERSION_INTERNAL) || __CUDA_API_VERSION < 4000
// #endif /* __CUDA_API_VERSION_INTERNAL || __CUDA_API_VERSION < 4000 */
// #if defined(__CUDA_API_VERSION_INTERNAL)
// #endif /* __CUDA_API_VERSION_INTERNAL */
// #if defined(__CUDA_API_VERSION_INTERNAL)
// #endif
// #ifdef __cplusplus
// #endif
// #undef __CUDA_API_VERSION
// #endif /* __cuda_cuda_h__ */
// Parsed from
/*
* Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__HOST_DEFINES_H__)
// #define __HOST_DEFINES_H__
/* CUDA JIT mode (__CUDACC_RTC__) also uses GNU style attributes */
// #if defined(__GNUC__) || defined(__CUDA_LIBDEVICE__) || defined(__CUDACC_RTC__)
// #if defined(__CUDACC_RTC__)
// #define __volatile__ volatile
// #endif /* __CUDACC_RTC__ */
// #define __no_return__
// __attribute__((noreturn))
// #if defined(__CUDACC__) || defined(__CUDA_ARCH__)
/* gcc allows users to define attributes with underscores,
e.g., __attribute__((__noinline__)).
Consider a non-CUDA source file (e.g. .cpp) that has the
above attribute specification, and includes this header file. In that case,
defining __noinline__ as below would cause a gcc compilation error.
Hence, only define __noinline__ when the code is being processed
by a CUDA compiler component.
*/
// #define __noinline__
// __attribute__((noinline))
// #endif /* __CUDACC__ || __CUDA_ARCH__ */
// #define __forceinline__
// __inline__ __attribute__((always_inline))
// #define __align__(n)
// __attribute__((aligned(n)))
// #define __thread__
// __thread
// #define __import__
// #define __export__
// #define __cdecl
// #define __annotate__(a)
// __attribute__((a))
// #define __location__(a)
// __annotate__(a)
// #define CUDARTAPI
// #elif defined(_MSC_VER)
// #if _MSC_VER >= 1400
// #define __restrict__
// __restrict
// #else /* _MSC_VER >= 1400 */
// #define __restrict__
// #endif /* _MSC_VER >= 1400 */
// #define __inline__
// __inline
// #define __no_return__
// __declspec(noreturn)
// #define __noinline__
// __declspec(noinline)
// #define __forceinline__
// __forceinline
// #define __align__(n)
// __declspec(align(n))
// #define __thread__
// __declspec(thread)
// #define __import__
// __declspec(dllimport)
// #define __export__
// __declspec(dllexport)
// #define __annotate__(a)
// __declspec(a)
// #define __location__(a)
// __annotate__(__##a##__)
// #define CUDARTAPI
// __stdcall
// #else /* __GNUC__ || __CUDA_LIBDEVICE__ || __CUDACC_RTC__ */
// #define __inline__
// #if !defined(__align__)
// #error --- !!! UNKNOWN COMPILER: please provide a CUDA compatible definition for '__align__' !!! ---
// #endif /* !__align__ */
// #if !defined(CUDARTAPI)
// #error --- !!! UNKNOWN COMPILER: please provide a CUDA compatible definition for 'CUDARTAPI' !!! ---
// #endif /* !CUDARTAPI */
// #endif /* __GNUC__ || __CUDA_LIBDEVICE__ || __CUDACC_RTC__ */
// #if (defined(__GNUC__) && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 3 && !defined(__clang__)))) ||
// (defined(_MSC_VER) && _MSC_VER < 1900) ||
// (!defined(__GNUC__) && !defined(_MSC_VER))
// #define __specialization_static
// static
// #else /* (__GNUC__ && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 3 && !__clang__))) ||
// (_MSC_VER && _MSC_VER < 1900) ||
// (!__GNUC__ && !_MSC_VER) */
// #define __specialization_static
// #endif /* (__GNUC__ && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 3 && !__clang__))) ||
// (_MSC_VER && _MSC_VER < 1900) ||
// (!__GNUC__ && !_MSC_VER) */
// #if !defined(__CUDACC__) && !defined(__CUDABE__)
// #undef __annotate__
// #define __annotate__(a)
// #else /* !__CUDACC__ && !__CUDABE__ */
// #define __launch_bounds__(...)
// __annotate__(launch_bounds(__VA_ARGS__))
// #endif /* !__CUDACC__ && !__CUDABE__ */
// #if defined(__CUDACC__) || defined(__CUDABE__) ||
// defined(__GNUC__) || defined(_WIN64)
// #define __builtin_align__(a)
// __align__(a)
// #else /* __CUDACC__ || __CUDABE__ || __GNUC__ || _WIN64 */
// #define __builtin_align__(a)
// #endif /* __CUDACC__ || __CUDABE__ || __GNUC__ || _WIN64 */
// #define __host__
// __location__(host)
// #define __device__
// __location__(device)
// #define __global__
// __location__(global)
// #define __shared__
// __location__(shared)
// #define __constant__
// __location__(constant)
// #define __managed__
// __location__(managed)
// #if (defined(__CUDABE__) && !defined(__CUDACC_INTEGRATED__)) || !defined(__CUDACC__)
// #define __device_builtin__
// #define __device_builtin_texture_type__
// #define __device_builtin_surface_type__
// #define __cudart_builtin__
// #else /* (defined(__CUDABE__) && !defined(__CUDACC_INTEGRATED__)) || !__CUDACC__ */
// #define __device_builtin__
// __location__(device_builtin)
// #define __device_builtin_texture_type__
// __location__(device_builtin_texture_type)
// #define __device_builtin_surface_type__
// __location__(device_builtin_surface_type)
// #define __cudart_builtin__
// __location__(cudart_builtin)
// #endif /* (defined(__CUDABE__) && !defined(__CUDACC_INTEGRATED__)) || !__CUDACC__ */
// #if defined(__CUDACC__) && defined(__clang__)
// #if !defined(__has_feature)
// #error --- !!! The Clang version does not support __has_feature !!! ---
// #endif /* !__has_feature */
// #if defined(__cplusplus) && defined(__CUDACC__)
// #if (__has_feature(cxx_noexcept))
// #define NV_CLANG_ATOMIC_NOEXCEPT noexcept
// #define NV_CLANG_ATOMIC_NOEXCEPT_(x) noexcept(x)
// #else /* !__has_feature(cxx_noexcept) */
// #define NV_CLANG_ATOMIC_NOEXCEPT throw()
// #define NV_CLANG_ATOMIC_NOEXCEPT_(x)
// #endif /* __has_feature(cxx_noexcept) */
// #define _Atomic(X) __nv_clang_atomic_t
// #endif /* defined(__cplusplus) && defined(__CUDACC__) */
// #endif /* __CUDACC__ && __clang__ */
// #endif /* !__HOST_DEFINES_H__ */
// Parsed from
/*
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__DEVICE_TYPES_H__)
// #define __DEVICE_TYPES_H__
// #include "host_defines.h"
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
/** enum cudaRoundMode */
public static final int
cudaRoundNearest = 0,
cudaRoundZero = 1,
cudaRoundPosInf = 2,
cudaRoundMinInf = 3;
// #endif /* !__DEVICE_TYPES_H__ */
// Parsed from
/*
* Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__DRIVER_TYPES_H__)
// #define __DRIVER_TYPES_H__
// #include "host_defines.h"
/**
* \defgroup CUDART_TYPES Data types used by CUDA Runtime
* \ingroup CUDART
*
* \{
*/
/*******************************************************************************
* *
* TYPE DEFINITIONS USED BY RUNTIME API *
* *
*******************************************************************************/
// #if !defined(__CUDA_INTERNAL_COMPILATION__) && !defined(__CUDACC_RTC__)
// #include
// #include
/** Default page-locked allocation flag */
public static final int cudaHostAllocDefault = 0x00;
/** Pinned memory accessible by all CUDA contexts */
public static final int cudaHostAllocPortable = 0x01;
/** Map allocation into device space */
public static final int cudaHostAllocMapped = 0x02;
/** Write-combined memory */
public static final int cudaHostAllocWriteCombined = 0x04;
/** Default host memory registration flag */
public static final int cudaHostRegisterDefault = 0x00;
/** Pinned memory accessible by all CUDA contexts */
public static final int cudaHostRegisterPortable = 0x01;
/** Map registered memory into device space */
public static final int cudaHostRegisterMapped = 0x02;
/** Memory-mapped I/O space */
public static final int cudaHostRegisterIoMemory = 0x04;
/** Default peer addressing enable flag */
public static final int cudaPeerAccessDefault = 0x00;
/** Default stream flag */
public static final int cudaStreamDefault = 0x00;
/** Stream does not synchronize with stream 0 (the NULL stream) */
public static final int cudaStreamNonBlocking = 0x01;
/**
* Legacy stream handle
*
* Stream handle that can be passed as a cudaStream_t to use an implicit stream
* with legacy synchronization behavior.
*
* See details of the \link_sync_behavior
*/
public static native @MemberGetter CUstream_st cudaStreamLegacy();
public static final CUstream_st cudaStreamLegacy = cudaStreamLegacy();
/**
* Per-thread stream handle
*
* Stream handle that can be passed as a cudaStream_t to use an implicit stream
* with per-thread synchronization behavior.
*
* See details of the \link_sync_behavior
*/
public static native @MemberGetter CUstream_st cudaStreamPerThread();
public static final CUstream_st cudaStreamPerThread = cudaStreamPerThread();
/** Default event flag */
public static final int cudaEventDefault = 0x00;
/** Event uses blocking synchronization */
public static final int cudaEventBlockingSync = 0x01;
/** Event will not record timing data */
public static final int cudaEventDisableTiming = 0x02;
/** Event is suitable for interprocess use. cudaEventDisableTiming must be set */
public static final int cudaEventInterprocess = 0x04;
/** Device flag - Automatic scheduling */
public static final int cudaDeviceScheduleAuto = 0x00;
/** Device flag - Spin default scheduling */
public static final int cudaDeviceScheduleSpin = 0x01;
/** Device flag - Yield default scheduling */
public static final int cudaDeviceScheduleYield = 0x02;
/** Device flag - Use blocking synchronization */
public static final int cudaDeviceScheduleBlockingSync = 0x04;
/** Device flag - Use blocking synchronization
* @deprecated This flag was deprecated as of CUDA 4.0 and
* replaced with ::cudaDeviceScheduleBlockingSync. */
public static final int cudaDeviceBlockingSync = 0x04;
/** Device schedule flags mask */
public static final int cudaDeviceScheduleMask = 0x07;
/** Device flag - Support mapped pinned allocations */
public static final int cudaDeviceMapHost = 0x08;
/** Device flag - Keep local memory allocation after launch */
public static final int cudaDeviceLmemResizeToMax = 0x10;
/** Device flags mask */
public static final int cudaDeviceMask = 0x1f;
/** Default CUDA array allocation flag */
public static final int cudaArrayDefault = 0x00;
/** Must be set in cudaMalloc3DArray to create a layered CUDA array */
public static final int cudaArrayLayered = 0x01;
/** Must be set in cudaMallocArray or cudaMalloc3DArray in order to bind surfaces to the CUDA array */
public static final int cudaArraySurfaceLoadStore = 0x02;
/** Must be set in cudaMalloc3DArray to create a cubemap CUDA array */
public static final int cudaArrayCubemap = 0x04;
/** Must be set in cudaMallocArray or cudaMalloc3DArray in order to perform texture gather operations on the CUDA array */
public static final int cudaArrayTextureGather = 0x08;
/** Automatically enable peer access between remote devices as needed */
public static final int cudaIpcMemLazyEnablePeerAccess = 0x01;
/** Memory can be accessed by any stream on any device*/
public static final int cudaMemAttachGlobal = 0x01;
/** Memory cannot be accessed by any stream on any device */
public static final int cudaMemAttachHost = 0x02;
/** Memory can only be accessed by a single stream on the associated device */
public static final int cudaMemAttachSingle = 0x04;
/** Default behavior */
public static final int cudaOccupancyDefault = 0x00;
/** Assume global caching is enabled and cannot be automatically turned off */
public static final int cudaOccupancyDisableCachingOverride = 0x01;
// #endif /* !__CUDA_INTERNAL_COMPILATION__ && !__CUDACC_RTC__ */
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
/**
* CUDA error types
*/
/** enum cudaError */
public static final int
/**
* The API call returned with no errors. In the case of query calls, this
* can also mean that the operation being queried is complete (see
* ::cudaEventQuery() and ::cudaStreamQuery()).
*/
cudaSuccess = 0,
/**
* The device function being invoked (usually via ::cudaLaunchKernel()) was not
* previously configured via the ::cudaConfigureCall() function.
*/
cudaErrorMissingConfiguration = 1,
/**
* The API call failed because it was unable to allocate enough memory to
* perform the requested operation.
*/
cudaErrorMemoryAllocation = 2,
/**
* The API call failed because the CUDA driver and runtime could not be
* initialized.
*/
cudaErrorInitializationError = 3,
/**
* An exception occurred on the device while executing a kernel. Common
* causes include dereferencing an invalid device pointer and accessing
* out of bounds shared memory. The device cannot be used until
* ::cudaThreadExit() is called. All existing device memory allocations
* are invalid and must be reconstructed if the program is to continue
* using CUDA.
*/
cudaErrorLaunchFailure = 4,
/**
* This indicated that a previous kernel launch failed. This was previously
* used for device emulation of kernel launches.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Device emulation mode was
* removed with the CUDA 3.1 release.
*/
cudaErrorPriorLaunchFailure = 5,
/**
* This indicates that the device kernel took too long to execute. This can
* only occur if timeouts are enabled - see the device property
* \ref ::cudaDeviceProp::kernelExecTimeoutEnabled "kernelExecTimeoutEnabled"
* for more information. The device cannot be used until ::cudaThreadExit()
* is called. All existing device memory allocations are invalid and must be
* reconstructed if the program is to continue using CUDA.
*/
cudaErrorLaunchTimeout = 6,
/**
* This indicates that a launch did not occur because it did not have
* appropriate resources. Although this error is similar to
* ::cudaErrorInvalidConfiguration, this error usually indicates that the
* user has attempted to pass too many arguments to the device kernel, or the
* kernel launch specifies too many threads for the kernel's register count.
*/
cudaErrorLaunchOutOfResources = 7,
/**
* The requested device function does not exist or is not compiled for the
* proper device architecture.
*/
cudaErrorInvalidDeviceFunction = 8,
/**
* This indicates that a kernel launch is requesting resources that can
* never be satisfied by the current device. Requesting more shared memory
* per block than the device supports will trigger this error, as will
* requesting too many threads or blocks. See ::cudaDeviceProp for more
* device limitations.
*/
cudaErrorInvalidConfiguration = 9,
/**
* This indicates that the device ordinal supplied by the user does not
* correspond to a valid CUDA device.
*/
cudaErrorInvalidDevice = 10,
/**
* This indicates that one or more of the parameters passed to the API call
* is not within an acceptable range of values.
*/
cudaErrorInvalidValue = 11,
/**
* This indicates that one or more of the pitch-related parameters passed
* to the API call is not within the acceptable range for pitch.
*/
cudaErrorInvalidPitchValue = 12,
/**
* This indicates that the symbol name/identifier passed to the API call
* is not a valid name or identifier.
*/
cudaErrorInvalidSymbol = 13,
/**
* This indicates that the buffer object could not be mapped.
*/
cudaErrorMapBufferObjectFailed = 14,
/**
* This indicates that the buffer object could not be unmapped.
*/
cudaErrorUnmapBufferObjectFailed = 15,
/**
* This indicates that at least one host pointer passed to the API call is
* not a valid host pointer.
*/
cudaErrorInvalidHostPointer = 16,
/**
* This indicates that at least one device pointer passed to the API call is
* not a valid device pointer.
*/
cudaErrorInvalidDevicePointer = 17,
/**
* This indicates that the texture passed to the API call is not a valid
* texture.
*/
cudaErrorInvalidTexture = 18,
/**
* This indicates that the texture binding is not valid. This occurs if you
* call ::cudaGetTextureAlignmentOffset() with an unbound texture.
*/
cudaErrorInvalidTextureBinding = 19,
/**
* This indicates that the channel descriptor passed to the API call is not
* valid. This occurs if the format is not one of the formats specified by
* ::cudaChannelFormatKind, or if one of the dimensions is invalid.
*/
cudaErrorInvalidChannelDescriptor = 20,
/**
* This indicates that the direction of the memcpy passed to the API call is
* not one of the types specified by ::cudaMemcpyKind.
*/
cudaErrorInvalidMemcpyDirection = 21,
/**
* This indicated that the user has taken the address of a constant variable,
* which was forbidden up until the CUDA 3.1 release.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Variables in constant
* memory may now have their address taken by the runtime via
* ::cudaGetSymbolAddress().
*/
cudaErrorAddressOfConstant = 22,
/**
* This indicated that a texture fetch was not able to be performed.
* This was previously used for device emulation of texture operations.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Device emulation mode was
* removed with the CUDA 3.1 release.
*/
cudaErrorTextureFetchFailed = 23,
/**
* This indicated that a texture was not bound for access.
* This was previously used for device emulation of texture operations.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Device emulation mode was
* removed with the CUDA 3.1 release.
*/
cudaErrorTextureNotBound = 24,
/**
* This indicated that a synchronization operation had failed.
* This was previously used for some device emulation functions.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Device emulation mode was
* removed with the CUDA 3.1 release.
*/
cudaErrorSynchronizationError = 25,
/**
* This indicates that a non-float texture was being accessed with linear
* filtering. This is not supported by CUDA.
*/
cudaErrorInvalidFilterSetting = 26,
/**
* This indicates that an attempt was made to read a non-float texture as a
* normalized float. This is not supported by CUDA.
*/
cudaErrorInvalidNormSetting = 27,
/**
* Mixing of device and device emulation code was not allowed.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Device emulation mode was
* removed with the CUDA 3.1 release.
*/
cudaErrorMixedDeviceExecution = 28,
/**
* This indicates that a CUDA Runtime API call cannot be executed because
* it is being called during process shut down, at a point in time after
* CUDA driver has been unloaded.
*/
cudaErrorCudartUnloading = 29,
/**
* This indicates that an unknown internal error has occurred.
*/
cudaErrorUnknown = 30,
/**
* This indicates that the API call is not yet implemented. Production
* releases of CUDA will never return this error.
* @deprecated
* This error return is deprecated as of CUDA 4.1.
*/
cudaErrorNotYetImplemented = 31,
/**
* This indicated that an emulated device pointer exceeded the 32-bit address
* range.
* @deprecated
* This error return is deprecated as of CUDA 3.1. Device emulation mode was
* removed with the CUDA 3.1 release.
*/
cudaErrorMemoryValueTooLarge = 32,
/**
* This indicates that a resource handle passed to the API call was not
* valid. Resource handles are opaque types like ::cudaStream_t and
* ::cudaEvent_t.
*/
cudaErrorInvalidResourceHandle = 33,
/**
* This indicates that asynchronous operations issued previously have not
* completed yet. This result is not actually an error, but must be indicated
* differently than ::cudaSuccess (which indicates completion). Calls that
* may return this value include ::cudaEventQuery() and ::cudaStreamQuery().
*/
cudaErrorNotReady = 34,
/**
* This indicates that the installed NVIDIA CUDA driver is older than the
* CUDA runtime library. This is not a supported configuration. Users should
* install an updated NVIDIA display driver to allow the application to run.
*/
cudaErrorInsufficientDriver = 35,
/**
* This indicates that the user has called ::cudaSetValidDevices(),
* ::cudaSetDeviceFlags(), ::cudaD3D9SetDirect3DDevice(),
* ::cudaD3D10SetDirect3DDevice, ::cudaD3D11SetDirect3DDevice(), or
* ::cudaVDPAUSetVDPAUDevice() after initializing the CUDA runtime by
* calling non-device management operations (allocating memory and
* launching kernels are examples of non-device management operations).
* This error can also be returned if using runtime/driver
* interoperability and there is an existing ::CUcontext active on the
* host thread.
*/
cudaErrorSetOnActiveProcess = 36,
/**
* This indicates that the surface passed to the API call is not a valid
* surface.
*/
cudaErrorInvalidSurface = 37,
/**
* This indicates that no CUDA-capable devices were detected by the installed
* CUDA driver.
*/
cudaErrorNoDevice = 38,
/**
* This indicates that an uncorrectable ECC error was detected during
* execution.
*/
cudaErrorECCUncorrectable = 39,
/**
* This indicates that a link to a shared object failed to resolve.
*/
cudaErrorSharedObjectSymbolNotFound = 40,
/**
* This indicates that initialization of a shared object failed.
*/
cudaErrorSharedObjectInitFailed = 41,
/**
* This indicates that the ::cudaLimit passed to the API call is not
* supported by the active device.
*/
cudaErrorUnsupportedLimit = 42,
/**
* This indicates that multiple global or constant variables (across separate
* CUDA source files in the application) share the same string name.
*/
cudaErrorDuplicateVariableName = 43,
/**
* This indicates that multiple textures (across separate CUDA source
* files in the application) share the same string name.
*/
cudaErrorDuplicateTextureName = 44,
/**
* This indicates that multiple surfaces (across separate CUDA source
* files in the application) share the same string name.
*/
cudaErrorDuplicateSurfaceName = 45,
/**
* This indicates that all CUDA devices are busy or unavailable at the current
* time. Devices are often busy/unavailable due to use of
* ::cudaComputeModeExclusive, ::cudaComputeModeProhibited or when long
* running CUDA kernels have filled up the GPU and are blocking new work
* from starting. They can also be unavailable due to memory constraints
* on a device that already has active CUDA work being performed.
*/
cudaErrorDevicesUnavailable = 46,
/**
* This indicates that the device kernel image is invalid.
*/
cudaErrorInvalidKernelImage = 47,
/**
* This indicates that there is no kernel image available that is suitable
* for the device. This can occur when a user specifies code generation
* options for a particular CUDA source file that do not include the
* corresponding device configuration.
*/
cudaErrorNoKernelImageForDevice = 48,
/**
* This indicates that the current context is not compatible with this
* the CUDA Runtime. This can only occur if you are using CUDA
* Runtime/Driver interoperability and have created an existing Driver
* context using the driver API. The Driver context may be incompatible
* either because the Driver context was created using an older version
* of the API, because the Runtime API call expects a primary driver
* context and the Driver context is not primary, or because the Driver
* context has been destroyed. Please see \ref CUDART_DRIVER "Interactions
* with the CUDA Driver API" for more information.
*/
cudaErrorIncompatibleDriverContext = 49,
/**
* This error indicates that a call to ::cudaDeviceEnablePeerAccess() is
* trying to re-enable peer addressing on from a context which has already
* had peer addressing enabled.
*/
cudaErrorPeerAccessAlreadyEnabled = 50,
/**
* This error indicates that ::cudaDeviceDisablePeerAccess() is trying to
* disable peer addressing which has not been enabled yet via
* ::cudaDeviceEnablePeerAccess().
*/
cudaErrorPeerAccessNotEnabled = 51,
/**
* This indicates that a call tried to access an exclusive-thread device that
* is already in use by a different thread.
*/
cudaErrorDeviceAlreadyInUse = 54,
/**
* This indicates profiler is not initialized for this run. This can
* happen when the application is running with external profiling tools
* like visual profiler.
*/
cudaErrorProfilerDisabled = 55,
/**
* @deprecated
* This error return is deprecated as of CUDA 5.0. It is no longer an error
* to attempt to enable/disable the profiling via ::cudaProfilerStart or
* ::cudaProfilerStop without initialization.
*/
cudaErrorProfilerNotInitialized = 56,
/**
* @deprecated
* This error return is deprecated as of CUDA 5.0. It is no longer an error
* to call cudaProfilerStart() when profiling is already enabled.
*/
cudaErrorProfilerAlreadyStarted = 57,
/**
* @deprecated
* This error return is deprecated as of CUDA 5.0. It is no longer an error
* to call cudaProfilerStop() when profiling is already disabled.
*/
cudaErrorProfilerAlreadyStopped = 58,
/**
* An assert triggered in device code during kernel execution. The device
* cannot be used again until ::cudaThreadExit() is called. All existing
* allocations are invalid and must be reconstructed if the program is to
* continue using CUDA.
*/
cudaErrorAssert = 59,
/**
* This error indicates that the hardware resources required to enable
* peer access have been exhausted for one or more of the devices
* passed to ::cudaEnablePeerAccess().
*/
cudaErrorTooManyPeers = 60,
/**
* This error indicates that the memory range passed to ::cudaHostRegister()
* has already been registered.
*/
cudaErrorHostMemoryAlreadyRegistered = 61,
/**
* This error indicates that the pointer passed to ::cudaHostUnregister()
* does not correspond to any currently registered memory region.
*/
cudaErrorHostMemoryNotRegistered = 62,
/**
* This error indicates that an OS call failed.
*/
cudaErrorOperatingSystem = 63,
/**
* This error indicates that P2P access is not supported across the given
* devices.
*/
cudaErrorPeerAccessUnsupported = 64,
/**
* This error indicates that a device runtime grid launch did not occur
* because the depth of the child grid would exceed the maximum supported
* number of nested grid launches.
*/
cudaErrorLaunchMaxDepthExceeded = 65,
/**
* This error indicates that a grid launch did not occur because the kernel
* uses file-scoped textures which are unsupported by the device runtime.
* Kernels launched via the device runtime only support textures created with
* the Texture Object API's.
*/
cudaErrorLaunchFileScopedTex = 66,
/**
* This error indicates that a grid launch did not occur because the kernel
* uses file-scoped surfaces which are unsupported by the device runtime.
* Kernels launched via the device runtime only support surfaces created with
* the Surface Object API's.
*/
cudaErrorLaunchFileScopedSurf = 67,
/**
* This error indicates that a call to ::cudaDeviceSynchronize made from
* the device runtime failed because the call was made at grid depth greater
* than than either the default (2 levels of grids) or user specified device
* limit ::cudaLimitDevRuntimeSyncDepth. To be able to synchronize on
* launched grids at a greater depth successfully, the maximum nested
* depth at which ::cudaDeviceSynchronize will be called must be specified
* with the ::cudaLimitDevRuntimeSyncDepth limit to the ::cudaDeviceSetLimit
* api before the host-side launch of a kernel using the device runtime.
* Keep in mind that additional levels of sync depth require the runtime
* to reserve large amounts of device memory that cannot be used for
* user allocations.
*/
cudaErrorSyncDepthExceeded = 68,
/**
* This error indicates that a device runtime grid launch failed because
* the launch would exceed the limit ::cudaLimitDevRuntimePendingLaunchCount.
* For this launch to proceed successfully, ::cudaDeviceSetLimit must be
* called to set the ::cudaLimitDevRuntimePendingLaunchCount to be higher
* than the upper bound of outstanding launches that can be issued to the
* device runtime. Keep in mind that raising the limit of pending device
* runtime launches will require the runtime to reserve device memory that
* cannot be used for user allocations.
*/
cudaErrorLaunchPendingCountExceeded = 69,
/**
* This error indicates the attempted operation is not permitted.
*/
cudaErrorNotPermitted = 70,
/**
* This error indicates the attempted operation is not supported
* on the current system or device.
*/
cudaErrorNotSupported = 71,
/**
* Device encountered an error in the call stack during kernel execution,
* possibly due to stack corruption or exceeding the stack size limit.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
cudaErrorHardwareStackError = 72,
/**
* The device encountered an illegal instruction during kernel execution
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
cudaErrorIllegalInstruction = 73,
/**
* The device encountered a load or store instruction
* on a memory address which is not aligned.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
cudaErrorMisalignedAddress = 74,
/**
* While executing a kernel, the device encountered an instruction
* which can only operate on memory locations in certain address spaces
* (global, shared, or local), but was supplied a memory address not
* belonging to an allowed address space.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
cudaErrorInvalidAddressSpace = 75,
/**
* The device encountered an invalid program counter.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
cudaErrorInvalidPc = 76,
/**
* The device encountered a load or store instruction on an invalid memory address.
* The context cannot be used, so it must be destroyed (and a new one should be created).
* All existing device memory allocations from this context are invalid
* and must be reconstructed if the program is to continue using CUDA.
*/
cudaErrorIllegalAddress = 77,
/**
* A PTX compilation failed. The runtime may fall back to compiling PTX if
* an application does not contain a suitable binary for the current device.
*/
cudaErrorInvalidPtx = 78,
/**
* This indicates an error with the OpenGL or DirectX context.
*/
cudaErrorInvalidGraphicsContext = 79,
/**
* This indicates an internal startup failure in the CUDA runtime.
*/
cudaErrorStartupFailure = 0x7f,
/**
* Any unhandled CUDA driver error is added to this value and returned via
* the runtime. Production releases of CUDA should not return such errors.
* @deprecated
* This error return is deprecated as of CUDA 4.1.
*/
cudaErrorApiFailureBase = 10000;
/**
* Channel format kind
*/
/** enum cudaChannelFormatKind */
public static final int
/** Signed channel format */
cudaChannelFormatKindSigned = 0,
/** Unsigned channel format */
cudaChannelFormatKindUnsigned = 1,
/** Float channel format */
cudaChannelFormatKindFloat = 2,
/** No channel format */
cudaChannelFormatKindNone = 3;
/**
* CUDA Channel format descriptor
*/
public static class cudaChannelFormatDesc extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaChannelFormatDesc() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaChannelFormatDesc(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaChannelFormatDesc(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaChannelFormatDesc position(long position) {
return (cudaChannelFormatDesc)super.position(position);
}
/** x */
public native int x(); public native cudaChannelFormatDesc x(int x);
/** y */
public native int y(); public native cudaChannelFormatDesc y(int y);
/** z */
public native int z(); public native cudaChannelFormatDesc z(int z);
/** w */
public native int w(); public native cudaChannelFormatDesc w(int w);
/** Channel format kind */
public native @Cast("cudaChannelFormatKind") int f(); public native cudaChannelFormatDesc f(int f);
}
/**
* CUDA array
*/
@Opaque public static class cudaArray extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public cudaArray() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaArray(Pointer p) { super(p); }
}
/**
* CUDA array (as source copy argument)
*/
/**
* CUDA mipmapped array
*/
@Opaque public static class cudaMipmappedArray extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public cudaMipmappedArray() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaMipmappedArray(Pointer p) { super(p); }
}
/**
* CUDA mipmapped array (as source argument)
*/
/**
* CUDA memory types
*/
/** enum cudaMemoryType */
public static final int
/** Host memory */
cudaMemoryTypeHost = 1,
/** Device memory */
cudaMemoryTypeDevice = 2;
/**
* CUDA memory copy types
*/
/** enum cudaMemcpyKind */
public static final int
/** Host -> Host */
cudaMemcpyHostToHost = 0,
/** Host -> Device */
cudaMemcpyHostToDevice = 1,
/** Device -> Host */
cudaMemcpyDeviceToHost = 2,
/** Device -> Device */
cudaMemcpyDeviceToDevice = 3,
/** Default based unified virtual address space */
cudaMemcpyDefault = 4;
/**
* CUDA Pitched memory pointer
*
* \sa ::make_cudaPitchedPtr
*/
public static class cudaPitchedPtr extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaPitchedPtr() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaPitchedPtr(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaPitchedPtr(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaPitchedPtr position(long position) {
return (cudaPitchedPtr)super.position(position);
}
/** Pointer to allocated memory */
public native Pointer ptr(); public native cudaPitchedPtr ptr(Pointer ptr);
/** Pitch of allocated memory in bytes */
public native @Cast("size_t") long pitch(); public native cudaPitchedPtr pitch(long pitch);
/** Logical width of allocation in elements */
public native @Cast("size_t") long xsize(); public native cudaPitchedPtr xsize(long xsize);
/** Logical height of allocation in elements */
public native @Cast("size_t") long ysize(); public native cudaPitchedPtr ysize(long ysize);
}
/**
* CUDA extent
*
* \sa ::make_cudaExtent
*/
public static class cudaExtent extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaExtent() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaExtent(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaExtent(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaExtent position(long position) {
return (cudaExtent)super.position(position);
}
/** Width in elements when referring to array memory, in bytes when referring to linear memory */
public native @Cast("size_t") long width(); public native cudaExtent width(long width);
/** Height in elements */
public native @Cast("size_t") long height(); public native cudaExtent height(long height);
/** Depth in elements */
public native @Cast("size_t") long depth(); public native cudaExtent depth(long depth);
}
/**
* CUDA 3D position
*
* \sa ::make_cudaPos
*/
public static class cudaPos extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaPos() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaPos(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaPos(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaPos position(long position) {
return (cudaPos)super.position(position);
}
/** x */
public native @Cast("size_t") long x(); public native cudaPos x(long x);
/** y */
public native @Cast("size_t") long y(); public native cudaPos y(long y);
/** z */
public native @Cast("size_t") long z(); public native cudaPos z(long z);
}
/**
* CUDA 3D memory copying parameters
*/
public static class cudaMemcpy3DParms extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaMemcpy3DParms() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaMemcpy3DParms(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaMemcpy3DParms(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaMemcpy3DParms position(long position) {
return (cudaMemcpy3DParms)super.position(position);
}
/** Source memory address */
public native cudaArray srcArray(); public native cudaMemcpy3DParms srcArray(cudaArray srcArray);
/** Source position offset */
public native @ByRef cudaPos srcPos(); public native cudaMemcpy3DParms srcPos(cudaPos srcPos);
/** Pitched source memory address */
public native @ByRef cudaPitchedPtr srcPtr(); public native cudaMemcpy3DParms srcPtr(cudaPitchedPtr srcPtr);
/** Destination memory address */
public native cudaArray dstArray(); public native cudaMemcpy3DParms dstArray(cudaArray dstArray);
/** Destination position offset */
public native @ByRef cudaPos dstPos(); public native cudaMemcpy3DParms dstPos(cudaPos dstPos);
/** Pitched destination memory address */
public native @ByRef cudaPitchedPtr dstPtr(); public native cudaMemcpy3DParms dstPtr(cudaPitchedPtr dstPtr);
/** Requested memory copy size */
public native @ByRef cudaExtent extent(); public native cudaMemcpy3DParms extent(cudaExtent extent);
/** Type of transfer */
public native @Cast("cudaMemcpyKind") int kind(); public native cudaMemcpy3DParms kind(int kind);
}
/**
* CUDA 3D cross-device memory copying parameters
*/
public static class cudaMemcpy3DPeerParms extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaMemcpy3DPeerParms() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaMemcpy3DPeerParms(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaMemcpy3DPeerParms(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaMemcpy3DPeerParms position(long position) {
return (cudaMemcpy3DPeerParms)super.position(position);
}
/** Source memory address */
public native cudaArray srcArray(); public native cudaMemcpy3DPeerParms srcArray(cudaArray srcArray);
/** Source position offset */
public native @ByRef cudaPos srcPos(); public native cudaMemcpy3DPeerParms srcPos(cudaPos srcPos);
/** Pitched source memory address */
public native @ByRef cudaPitchedPtr srcPtr(); public native cudaMemcpy3DPeerParms srcPtr(cudaPitchedPtr srcPtr);
/** Source device */
public native int srcDevice(); public native cudaMemcpy3DPeerParms srcDevice(int srcDevice);
/** Destination memory address */
public native cudaArray dstArray(); public native cudaMemcpy3DPeerParms dstArray(cudaArray dstArray);
/** Destination position offset */
public native @ByRef cudaPos dstPos(); public native cudaMemcpy3DPeerParms dstPos(cudaPos dstPos);
/** Pitched destination memory address */
public native @ByRef cudaPitchedPtr dstPtr(); public native cudaMemcpy3DPeerParms dstPtr(cudaPitchedPtr dstPtr);
/** Destination device */
public native int dstDevice(); public native cudaMemcpy3DPeerParms dstDevice(int dstDevice);
/** Requested memory copy size */
public native @ByRef cudaExtent extent(); public native cudaMemcpy3DPeerParms extent(cudaExtent extent);
}
/**
* CUDA graphics interop resource
*/
@Opaque public static class cudaGraphicsResource extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public cudaGraphicsResource() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaGraphicsResource(Pointer p) { super(p); }
}
/**
* CUDA graphics interop register flags
*/
/** enum cudaGraphicsRegisterFlags */
public static final int
/** Default */
cudaGraphicsRegisterFlagsNone = 0,
/** CUDA will not write to this resource */
cudaGraphicsRegisterFlagsReadOnly = 1,
/** CUDA will only write to and will not read from this resource */
cudaGraphicsRegisterFlagsWriteDiscard = 2,
/** CUDA will bind this resource to a surface reference */
cudaGraphicsRegisterFlagsSurfaceLoadStore = 4,
/** CUDA will perform texture gather operations on this resource */
cudaGraphicsRegisterFlagsTextureGather = 8;
/**
* CUDA graphics interop map flags
*/
/** enum cudaGraphicsMapFlags */
public static final int
/** Default; Assume resource can be read/written */
cudaGraphicsMapFlagsNone = 0,
/** CUDA will not write to this resource */
cudaGraphicsMapFlagsReadOnly = 1,
/** CUDA will only write to and will not read from this resource */
cudaGraphicsMapFlagsWriteDiscard = 2;
/**
* CUDA graphics interop array indices for cube maps
*/
/** enum cudaGraphicsCubeFace */
public static final int
/** Positive X face of cubemap */
cudaGraphicsCubeFacePositiveX = 0x00,
/** Negative X face of cubemap */
cudaGraphicsCubeFaceNegativeX = 0x01,
/** Positive Y face of cubemap */
cudaGraphicsCubeFacePositiveY = 0x02,
/** Negative Y face of cubemap */
cudaGraphicsCubeFaceNegativeY = 0x03,
/** Positive Z face of cubemap */
cudaGraphicsCubeFacePositiveZ = 0x04,
/** Negative Z face of cubemap */
cudaGraphicsCubeFaceNegativeZ = 0x05;
/**
* CUDA resource types
*/
/** enum cudaResourceType */
public static final int
/** Array resource */
cudaResourceTypeArray = 0x00,
/** Mipmapped array resource */
cudaResourceTypeMipmappedArray = 0x01,
/** Linear resource */
cudaResourceTypeLinear = 0x02,
/** Pitch 2D resource */
cudaResourceTypePitch2D = 0x03;
/**
* CUDA texture resource view formats
*/
/** enum cudaResourceViewFormat */
public static final int
/** No resource view format (use underlying resource format) */
cudaResViewFormatNone = 0x00,
/** 1 channel unsigned 8-bit integers */
cudaResViewFormatUnsignedChar1 = 0x01,
/** 2 channel unsigned 8-bit integers */
cudaResViewFormatUnsignedChar2 = 0x02,
/** 4 channel unsigned 8-bit integers */
cudaResViewFormatUnsignedChar4 = 0x03,
/** 1 channel signed 8-bit integers */
cudaResViewFormatSignedChar1 = 0x04,
/** 2 channel signed 8-bit integers */
cudaResViewFormatSignedChar2 = 0x05,
/** 4 channel signed 8-bit integers */
cudaResViewFormatSignedChar4 = 0x06,
/** 1 channel unsigned 16-bit integers */
cudaResViewFormatUnsignedShort1 = 0x07,
/** 2 channel unsigned 16-bit integers */
cudaResViewFormatUnsignedShort2 = 0x08,
/** 4 channel unsigned 16-bit integers */
cudaResViewFormatUnsignedShort4 = 0x09,
/** 1 channel signed 16-bit integers */
cudaResViewFormatSignedShort1 = 0x0a,
/** 2 channel signed 16-bit integers */
cudaResViewFormatSignedShort2 = 0x0b,
/** 4 channel signed 16-bit integers */
cudaResViewFormatSignedShort4 = 0x0c,
/** 1 channel unsigned 32-bit integers */
cudaResViewFormatUnsignedInt1 = 0x0d,
/** 2 channel unsigned 32-bit integers */
cudaResViewFormatUnsignedInt2 = 0x0e,
/** 4 channel unsigned 32-bit integers */
cudaResViewFormatUnsignedInt4 = 0x0f,
/** 1 channel signed 32-bit integers */
cudaResViewFormatSignedInt1 = 0x10,
/** 2 channel signed 32-bit integers */
cudaResViewFormatSignedInt2 = 0x11,
/** 4 channel signed 32-bit integers */
cudaResViewFormatSignedInt4 = 0x12,
/** 1 channel 16-bit floating point */
cudaResViewFormatHalf1 = 0x13,
/** 2 channel 16-bit floating point */
cudaResViewFormatHalf2 = 0x14,
/** 4 channel 16-bit floating point */
cudaResViewFormatHalf4 = 0x15,
/** 1 channel 32-bit floating point */
cudaResViewFormatFloat1 = 0x16,
/** 2 channel 32-bit floating point */
cudaResViewFormatFloat2 = 0x17,
/** 4 channel 32-bit floating point */
cudaResViewFormatFloat4 = 0x18,
/** Block compressed 1 */
cudaResViewFormatUnsignedBlockCompressed1 = 0x19,
/** Block compressed 2 */
cudaResViewFormatUnsignedBlockCompressed2 = 0x1a,
/** Block compressed 3 */
cudaResViewFormatUnsignedBlockCompressed3 = 0x1b,
/** Block compressed 4 unsigned */
cudaResViewFormatUnsignedBlockCompressed4 = 0x1c,
/** Block compressed 4 signed */
cudaResViewFormatSignedBlockCompressed4 = 0x1d,
/** Block compressed 5 unsigned */
cudaResViewFormatUnsignedBlockCompressed5 = 0x1e,
/** Block compressed 5 signed */
cudaResViewFormatSignedBlockCompressed5 = 0x1f,
/** Block compressed 6 unsigned half-float */
cudaResViewFormatUnsignedBlockCompressed6H = 0x20,
/** Block compressed 6 signed half-float */
cudaResViewFormatSignedBlockCompressed6H = 0x21,
/** Block compressed 7 */
cudaResViewFormatUnsignedBlockCompressed7 = 0x22;
/**
* CUDA resource descriptor
*/
public static class cudaResourceDesc extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaResourceDesc() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaResourceDesc(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaResourceDesc(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaResourceDesc position(long position) {
return (cudaResourceDesc)super.position(position);
}
/** Resource type */
public native @Cast("cudaResourceType") int resType(); public native cudaResourceDesc resType(int resType);
/** CUDA array */
@Name("res.array.array") public native cudaArray res_array_array(); public native cudaResourceDesc res_array_array(cudaArray res_array_array);
/** CUDA mipmapped array */
@Name("res.mipmap.mipmap") public native cudaMipmappedArray res_mipmap_mipmap(); public native cudaResourceDesc res_mipmap_mipmap(cudaMipmappedArray res_mipmap_mipmap);
/** Device pointer */
@Name("res.linear.devPtr") public native Pointer res_linear_devPtr(); public native cudaResourceDesc res_linear_devPtr(Pointer res_linear_devPtr);
/** Channel descriptor */
@Name("res.linear.desc") public native @ByRef cudaChannelFormatDesc res_linear_desc(); public native cudaResourceDesc res_linear_desc(cudaChannelFormatDesc res_linear_desc);
/** Size in bytes */
@Name("res.linear.sizeInBytes") public native @Cast("size_t") long res_linear_sizeInBytes(); public native cudaResourceDesc res_linear_sizeInBytes(long res_linear_sizeInBytes);
/** Device pointer */
@Name("res.pitch2D.devPtr") public native Pointer res_pitch2D_devPtr(); public native cudaResourceDesc res_pitch2D_devPtr(Pointer res_pitch2D_devPtr);
/** Channel descriptor */
@Name("res.pitch2D.desc") public native @ByRef cudaChannelFormatDesc res_pitch2D_desc(); public native cudaResourceDesc res_pitch2D_desc(cudaChannelFormatDesc res_pitch2D_desc);
/** Width of the array in elements */
@Name("res.pitch2D.width") public native @Cast("size_t") long res_pitch2D_width(); public native cudaResourceDesc res_pitch2D_width(long res_pitch2D_width);
/** Height of the array in elements */
@Name("res.pitch2D.height") public native @Cast("size_t") long res_pitch2D_height(); public native cudaResourceDesc res_pitch2D_height(long res_pitch2D_height);
/** Pitch between two rows in bytes */
@Name("res.pitch2D.pitchInBytes") public native @Cast("size_t") long res_pitch2D_pitchInBytes(); public native cudaResourceDesc res_pitch2D_pitchInBytes(long res_pitch2D_pitchInBytes);
}
/**
* CUDA resource view descriptor
*/
public static class cudaResourceViewDesc extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaResourceViewDesc() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaResourceViewDesc(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaResourceViewDesc(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaResourceViewDesc position(long position) {
return (cudaResourceViewDesc)super.position(position);
}
/** Resource view format */
public native @Cast("cudaResourceViewFormat") int format(); public native cudaResourceViewDesc format(int format);
/** Width of the resource view */
public native @Cast("size_t") long width(); public native cudaResourceViewDesc width(long width);
/** Height of the resource view */
public native @Cast("size_t") long height(); public native cudaResourceViewDesc height(long height);
/** Depth of the resource view */
public native @Cast("size_t") long depth(); public native cudaResourceViewDesc depth(long depth);
/** First defined mipmap level */
public native @Cast("unsigned int") int firstMipmapLevel(); public native cudaResourceViewDesc firstMipmapLevel(int firstMipmapLevel);
/** Last defined mipmap level */
public native @Cast("unsigned int") int lastMipmapLevel(); public native cudaResourceViewDesc lastMipmapLevel(int lastMipmapLevel);
/** First layer index */
public native @Cast("unsigned int") int firstLayer(); public native cudaResourceViewDesc firstLayer(int firstLayer);
/** Last layer index */
public native @Cast("unsigned int") int lastLayer(); public native cudaResourceViewDesc lastLayer(int lastLayer);
}
/**
* CUDA pointer attributes
*/
public static class cudaPointerAttributes extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaPointerAttributes() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaPointerAttributes(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaPointerAttributes(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaPointerAttributes position(long position) {
return (cudaPointerAttributes)super.position(position);
}
/**
* The physical location of the memory, ::cudaMemoryTypeHost or
* ::cudaMemoryTypeDevice.
*/
public native @Cast("cudaMemoryType") int memoryType(); public native cudaPointerAttributes memoryType(int memoryType);
/**
* The device against which the memory was allocated or registered.
* If the memory type is ::cudaMemoryTypeDevice then this identifies
* the device on which the memory referred physically resides. If
* the memory type is ::cudaMemoryTypeHost then this identifies the
* device which was current when the memory was allocated or registered
* (and if that device is deinitialized then this allocation will vanish
* with that device's state).
*/
public native int device(); public native cudaPointerAttributes device(int device);
/**
* The address which may be dereferenced on the current device to access
* the memory or NULL if no such address exists.
*/
public native Pointer devicePointer(); public native cudaPointerAttributes devicePointer(Pointer devicePointer);
/**
* The address which may be dereferenced on the host to access the
* memory or NULL if no such address exists.
*/
public native Pointer hostPointer(); public native cudaPointerAttributes hostPointer(Pointer hostPointer);
/**
* Indicates if this pointer points to managed memory
*/
public native int isManaged(); public native cudaPointerAttributes isManaged(int isManaged);
}
/**
* CUDA function attributes
*/
public static class cudaFuncAttributes extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaFuncAttributes() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaFuncAttributes(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaFuncAttributes(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaFuncAttributes position(long position) {
return (cudaFuncAttributes)super.position(position);
}
/**
* The size in bytes of statically-allocated shared memory per block
* required by this function. This does not include dynamically-allocated
* shared memory requested by the user at runtime.
*/
public native @Cast("size_t") long sharedSizeBytes(); public native cudaFuncAttributes sharedSizeBytes(long sharedSizeBytes);
/**
* The size in bytes of user-allocated constant memory required by this
* function.
*/
public native @Cast("size_t") long constSizeBytes(); public native cudaFuncAttributes constSizeBytes(long constSizeBytes);
/**
* The size in bytes of local memory used by each thread of this function.
*/
public native @Cast("size_t") long localSizeBytes(); public native cudaFuncAttributes localSizeBytes(long localSizeBytes);
/**
* The maximum number of threads per block, beyond which a launch of the
* function would fail. This number depends on both the function and the
* device on which the function is currently loaded.
*/
public native int maxThreadsPerBlock(); public native cudaFuncAttributes maxThreadsPerBlock(int maxThreadsPerBlock);
/**
* The number of registers used by each thread of this function.
*/
public native int numRegs(); public native cudaFuncAttributes numRegs(int numRegs);
/**
* The PTX virtual architecture version for which the function was
* compiled. This value is the major PTX version * 10 + the minor PTX
* version, so a PTX version 1.3 function would return the value 13.
*/
public native int ptxVersion(); public native cudaFuncAttributes ptxVersion(int ptxVersion);
/**
* The binary architecture version for which the function was compiled.
* This value is the major binary version * 10 + the minor binary version,
* so a binary version 1.3 function would return the value 13.
*/
public native int binaryVersion(); public native cudaFuncAttributes binaryVersion(int binaryVersion);
/**
* The attribute to indicate whether the function has been compiled with
* user specified option "-Xptxas --dlcm=ca" set.
*/
public native int cacheModeCA(); public native cudaFuncAttributes cacheModeCA(int cacheModeCA);
}
/**
* CUDA function cache configurations
*/
/** enum cudaFuncCache */
public static final int
/** Default function cache configuration, no preference */
cudaFuncCachePreferNone = 0,
/** Prefer larger shared memory and smaller L1 cache */
cudaFuncCachePreferShared = 1,
/** Prefer larger L1 cache and smaller shared memory */
cudaFuncCachePreferL1 = 2,
/** Prefer equal size L1 cache and shared memory */
cudaFuncCachePreferEqual = 3;
/**
* CUDA shared memory configuration
*/
/** enum cudaSharedMemConfig */
public static final int
cudaSharedMemBankSizeDefault = 0,
cudaSharedMemBankSizeFourByte = 1,
cudaSharedMemBankSizeEightByte = 2;
/**
* CUDA device compute modes
*/
/** enum cudaComputeMode */
public static final int
/** Default compute mode (Multiple threads can use ::cudaSetDevice() with this device) */
cudaComputeModeDefault = 0,
/** Compute-exclusive-thread mode (Only one thread in one process will be able to use ::cudaSetDevice() with this device) */
cudaComputeModeExclusive = 1,
/** Compute-prohibited mode (No threads can use ::cudaSetDevice() with this device) */
cudaComputeModeProhibited = 2,
/** Compute-exclusive-process mode (Many threads in one process will be able to use ::cudaSetDevice() with this device) */
cudaComputeModeExclusiveProcess = 3;
/**
* CUDA Limits
*/
/** enum cudaLimit */
public static final int
/** GPU thread stack size */
cudaLimitStackSize = 0x00,
/** GPU printf/fprintf FIFO size */
cudaLimitPrintfFifoSize = 0x01,
/** GPU malloc heap size */
cudaLimitMallocHeapSize = 0x02,
/** GPU device runtime synchronize depth */
cudaLimitDevRuntimeSyncDepth = 0x03,
/** GPU device runtime pending launch count */
cudaLimitDevRuntimePendingLaunchCount = 0x04;
/**
* CUDA Profiler Output modes
*/
/** enum cudaOutputMode */
public static final int
/** Output mode Key-Value pair format. */
cudaKeyValuePair = 0x00,
/** Output mode Comma separated values format. */
cudaCSV = 0x01;
/**
* CUDA device attributes
*/
/** enum cudaDeviceAttr */
public static final int
/** Maximum number of threads per block */
cudaDevAttrMaxThreadsPerBlock = 1,
/** Maximum block dimension X */
cudaDevAttrMaxBlockDimX = 2,
/** Maximum block dimension Y */
cudaDevAttrMaxBlockDimY = 3,
/** Maximum block dimension Z */
cudaDevAttrMaxBlockDimZ = 4,
/** Maximum grid dimension X */
cudaDevAttrMaxGridDimX = 5,
/** Maximum grid dimension Y */
cudaDevAttrMaxGridDimY = 6,
/** Maximum grid dimension Z */
cudaDevAttrMaxGridDimZ = 7,
/** Maximum shared memory available per block in bytes */
cudaDevAttrMaxSharedMemoryPerBlock = 8,
/** Memory available on device for __constant__ variables in a CUDA C kernel in bytes */
cudaDevAttrTotalConstantMemory = 9,
/** Warp size in threads */
cudaDevAttrWarpSize = 10,
/** Maximum pitch in bytes allowed by memory copies */
cudaDevAttrMaxPitch = 11,
/** Maximum number of 32-bit registers available per block */
cudaDevAttrMaxRegistersPerBlock = 12,
/** Peak clock frequency in kilohertz */
cudaDevAttrClockRate = 13,
/** Alignment requirement for textures */
cudaDevAttrTextureAlignment = 14,
/** Device can possibly copy memory and execute a kernel concurrently */
cudaDevAttrGpuOverlap = 15,
/** Number of multiprocessors on device */
cudaDevAttrMultiProcessorCount = 16,
/** Specifies whether there is a run time limit on kernels */
cudaDevAttrKernelExecTimeout = 17,
/** Device is integrated with host memory */
cudaDevAttrIntegrated = 18,
/** Device can map host memory into CUDA address space */
cudaDevAttrCanMapHostMemory = 19,
/** Compute mode (See ::cudaComputeMode for details) */
cudaDevAttrComputeMode = 20,
/** Maximum 1D texture width */
cudaDevAttrMaxTexture1DWidth = 21,
/** Maximum 2D texture width */
cudaDevAttrMaxTexture2DWidth = 22,
/** Maximum 2D texture height */
cudaDevAttrMaxTexture2DHeight = 23,
/** Maximum 3D texture width */
cudaDevAttrMaxTexture3DWidth = 24,
/** Maximum 3D texture height */
cudaDevAttrMaxTexture3DHeight = 25,
/** Maximum 3D texture depth */
cudaDevAttrMaxTexture3DDepth = 26,
/** Maximum 2D layered texture width */
cudaDevAttrMaxTexture2DLayeredWidth = 27,
/** Maximum 2D layered texture height */
cudaDevAttrMaxTexture2DLayeredHeight = 28,
/** Maximum layers in a 2D layered texture */
cudaDevAttrMaxTexture2DLayeredLayers = 29,
/** Alignment requirement for surfaces */
cudaDevAttrSurfaceAlignment = 30,
/** Device can possibly execute multiple kernels concurrently */
cudaDevAttrConcurrentKernels = 31,
/** Device has ECC support enabled */
cudaDevAttrEccEnabled = 32,
/** PCI bus ID of the device */
cudaDevAttrPciBusId = 33,
/** PCI device ID of the device */
cudaDevAttrPciDeviceId = 34,
/** Device is using TCC driver model */
cudaDevAttrTccDriver = 35,
/** Peak memory clock frequency in kilohertz */
cudaDevAttrMemoryClockRate = 36,
/** Global memory bus width in bits */
cudaDevAttrGlobalMemoryBusWidth = 37,
/** Size of L2 cache in bytes */
cudaDevAttrL2CacheSize = 38,
/** Maximum resident threads per multiprocessor */
cudaDevAttrMaxThreadsPerMultiProcessor = 39,
/** Number of asynchronous engines */
cudaDevAttrAsyncEngineCount = 40,
/** Device shares a unified address space with the host */
cudaDevAttrUnifiedAddressing = 41,
/** Maximum 1D layered texture width */
cudaDevAttrMaxTexture1DLayeredWidth = 42,
/** Maximum layers in a 1D layered texture */
cudaDevAttrMaxTexture1DLayeredLayers = 43,
/** Maximum 2D texture width if cudaArrayTextureGather is set */
cudaDevAttrMaxTexture2DGatherWidth = 45,
/** Maximum 2D texture height if cudaArrayTextureGather is set */
cudaDevAttrMaxTexture2DGatherHeight = 46,
/** Alternate maximum 3D texture width */
cudaDevAttrMaxTexture3DWidthAlt = 47,
/** Alternate maximum 3D texture height */
cudaDevAttrMaxTexture3DHeightAlt = 48,
/** Alternate maximum 3D texture depth */
cudaDevAttrMaxTexture3DDepthAlt = 49,
/** PCI domain ID of the device */
cudaDevAttrPciDomainId = 50,
/** Pitch alignment requirement for textures */
cudaDevAttrTexturePitchAlignment = 51,
/** Maximum cubemap texture width/height */
cudaDevAttrMaxTextureCubemapWidth = 52,
/** Maximum cubemap layered texture width/height */
cudaDevAttrMaxTextureCubemapLayeredWidth = 53,
/** Maximum layers in a cubemap layered texture */
cudaDevAttrMaxTextureCubemapLayeredLayers = 54,
/** Maximum 1D surface width */
cudaDevAttrMaxSurface1DWidth = 55,
/** Maximum 2D surface width */
cudaDevAttrMaxSurface2DWidth = 56,
/** Maximum 2D surface height */
cudaDevAttrMaxSurface2DHeight = 57,
/** Maximum 3D surface width */
cudaDevAttrMaxSurface3DWidth = 58,
/** Maximum 3D surface height */
cudaDevAttrMaxSurface3DHeight = 59,
/** Maximum 3D surface depth */
cudaDevAttrMaxSurface3DDepth = 60,
/** Maximum 1D layered surface width */
cudaDevAttrMaxSurface1DLayeredWidth = 61,
/** Maximum layers in a 1D layered surface */
cudaDevAttrMaxSurface1DLayeredLayers = 62,
/** Maximum 2D layered surface width */
cudaDevAttrMaxSurface2DLayeredWidth = 63,
/** Maximum 2D layered surface height */
cudaDevAttrMaxSurface2DLayeredHeight = 64,
/** Maximum layers in a 2D layered surface */
cudaDevAttrMaxSurface2DLayeredLayers = 65,
/** Maximum cubemap surface width */
cudaDevAttrMaxSurfaceCubemapWidth = 66,
/** Maximum cubemap layered surface width */
cudaDevAttrMaxSurfaceCubemapLayeredWidth = 67,
/** Maximum layers in a cubemap layered surface */
cudaDevAttrMaxSurfaceCubemapLayeredLayers = 68,
/** Maximum 1D linear texture width */
cudaDevAttrMaxTexture1DLinearWidth = 69,
/** Maximum 2D linear texture width */
cudaDevAttrMaxTexture2DLinearWidth = 70,
/** Maximum 2D linear texture height */
cudaDevAttrMaxTexture2DLinearHeight = 71,
/** Maximum 2D linear texture pitch in bytes */
cudaDevAttrMaxTexture2DLinearPitch = 72,
/** Maximum mipmapped 2D texture width */
cudaDevAttrMaxTexture2DMipmappedWidth = 73,
/** Maximum mipmapped 2D texture height */
cudaDevAttrMaxTexture2DMipmappedHeight = 74,
/** Major compute capability version number */
cudaDevAttrComputeCapabilityMajor = 75,
/** Minor compute capability version number */
cudaDevAttrComputeCapabilityMinor = 76,
/** Maximum mipmapped 1D texture width */
cudaDevAttrMaxTexture1DMipmappedWidth = 77,
/** Device supports stream priorities */
cudaDevAttrStreamPrioritiesSupported = 78,
/** Device supports caching globals in L1 */
cudaDevAttrGlobalL1CacheSupported = 79,
/** Device supports caching locals in L1 */
cudaDevAttrLocalL1CacheSupported = 80,
/** Maximum shared memory available per multiprocessor in bytes */
cudaDevAttrMaxSharedMemoryPerMultiprocessor = 81,
/** Maximum number of 32-bit registers available per multiprocessor */
cudaDevAttrMaxRegistersPerMultiprocessor = 82,
/** Device can allocate managed memory on this system */
cudaDevAttrManagedMemory = 83,
/** Device is on a multi-GPU board */
cudaDevAttrIsMultiGpuBoard = 84,
/** Unique identifier for a group of devices on the same multi-GPU board */
cudaDevAttrMultiGpuBoardGroupID = 85;
/**
* CUDA device properties
*/
public static class cudaDeviceProp extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaDeviceProp() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaDeviceProp(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaDeviceProp(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaDeviceProp position(long position) {
return (cudaDeviceProp)super.position(position);
}
/** ASCII string identifying device */
public native @Cast("char") byte name(int i); public native cudaDeviceProp name(int i, byte name);
@MemberGetter public native @Cast("char*") BytePointer name();
/** Global memory available on device in bytes */
public native @Cast("size_t") long totalGlobalMem(); public native cudaDeviceProp totalGlobalMem(long totalGlobalMem);
/** Shared memory available per block in bytes */
public native @Cast("size_t") long sharedMemPerBlock(); public native cudaDeviceProp sharedMemPerBlock(long sharedMemPerBlock);
/** 32-bit registers available per block */
public native int regsPerBlock(); public native cudaDeviceProp regsPerBlock(int regsPerBlock);
/** Warp size in threads */
public native int warpSize(); public native cudaDeviceProp warpSize(int warpSize);
/** Maximum pitch in bytes allowed by memory copies */
public native @Cast("size_t") long memPitch(); public native cudaDeviceProp memPitch(long memPitch);
/** Maximum number of threads per block */
public native int maxThreadsPerBlock(); public native cudaDeviceProp maxThreadsPerBlock(int maxThreadsPerBlock);
/** Maximum size of each dimension of a block */
public native int maxThreadsDim(int i); public native cudaDeviceProp maxThreadsDim(int i, int maxThreadsDim);
@MemberGetter public native IntPointer maxThreadsDim();
/** Maximum size of each dimension of a grid */
public native int maxGridSize(int i); public native cudaDeviceProp maxGridSize(int i, int maxGridSize);
@MemberGetter public native IntPointer maxGridSize();
/** Clock frequency in kilohertz */
public native int clockRate(); public native cudaDeviceProp clockRate(int clockRate);
/** Constant memory available on device in bytes */
public native @Cast("size_t") long totalConstMem(); public native cudaDeviceProp totalConstMem(long totalConstMem);
/** Major compute capability */
public native int major(); public native cudaDeviceProp major(int major);
/** Minor compute capability */
public native int minor(); public native cudaDeviceProp minor(int minor);
/** Alignment requirement for textures */
public native @Cast("size_t") long textureAlignment(); public native cudaDeviceProp textureAlignment(long textureAlignment);
/** Pitch alignment requirement for texture references bound to pitched memory */
public native @Cast("size_t") long texturePitchAlignment(); public native cudaDeviceProp texturePitchAlignment(long texturePitchAlignment);
/** Device can concurrently copy memory and execute a kernel. Deprecated. Use instead asyncEngineCount. */
public native int deviceOverlap(); public native cudaDeviceProp deviceOverlap(int deviceOverlap);
/** Number of multiprocessors on device */
public native int multiProcessorCount(); public native cudaDeviceProp multiProcessorCount(int multiProcessorCount);
/** Specified whether there is a run time limit on kernels */
public native int kernelExecTimeoutEnabled(); public native cudaDeviceProp kernelExecTimeoutEnabled(int kernelExecTimeoutEnabled);
/** Device is integrated as opposed to discrete */
public native int integrated(); public native cudaDeviceProp integrated(int integrated);
/** Device can map host memory with cudaHostAlloc/cudaHostGetDevicePointer */
public native int canMapHostMemory(); public native cudaDeviceProp canMapHostMemory(int canMapHostMemory);
/** Compute mode (See ::cudaComputeMode) */
public native int computeMode(); public native cudaDeviceProp computeMode(int computeMode);
/** Maximum 1D texture size */
public native int maxTexture1D(); public native cudaDeviceProp maxTexture1D(int maxTexture1D);
/** Maximum 1D mipmapped texture size */
public native int maxTexture1DMipmap(); public native cudaDeviceProp maxTexture1DMipmap(int maxTexture1DMipmap);
/** Maximum size for 1D textures bound to linear memory */
public native int maxTexture1DLinear(); public native cudaDeviceProp maxTexture1DLinear(int maxTexture1DLinear);
/** Maximum 2D texture dimensions */
public native int maxTexture2D(int i); public native cudaDeviceProp maxTexture2D(int i, int maxTexture2D);
@MemberGetter public native IntPointer maxTexture2D();
/** Maximum 2D mipmapped texture dimensions */
public native int maxTexture2DMipmap(int i); public native cudaDeviceProp maxTexture2DMipmap(int i, int maxTexture2DMipmap);
@MemberGetter public native IntPointer maxTexture2DMipmap();
/** Maximum dimensions (width, height, pitch) for 2D textures bound to pitched memory */
public native int maxTexture2DLinear(int i); public native cudaDeviceProp maxTexture2DLinear(int i, int maxTexture2DLinear);
@MemberGetter public native IntPointer maxTexture2DLinear();
/** Maximum 2D texture dimensions if texture gather operations have to be performed */
public native int maxTexture2DGather(int i); public native cudaDeviceProp maxTexture2DGather(int i, int maxTexture2DGather);
@MemberGetter public native IntPointer maxTexture2DGather();
/** Maximum 3D texture dimensions */
public native int maxTexture3D(int i); public native cudaDeviceProp maxTexture3D(int i, int maxTexture3D);
@MemberGetter public native IntPointer maxTexture3D();
/** Maximum alternate 3D texture dimensions */
public native int maxTexture3DAlt(int i); public native cudaDeviceProp maxTexture3DAlt(int i, int maxTexture3DAlt);
@MemberGetter public native IntPointer maxTexture3DAlt();
/** Maximum Cubemap texture dimensions */
public native int maxTextureCubemap(); public native cudaDeviceProp maxTextureCubemap(int maxTextureCubemap);
/** Maximum 1D layered texture dimensions */
public native int maxTexture1DLayered(int i); public native cudaDeviceProp maxTexture1DLayered(int i, int maxTexture1DLayered);
@MemberGetter public native IntPointer maxTexture1DLayered();
/** Maximum 2D layered texture dimensions */
public native int maxTexture2DLayered(int i); public native cudaDeviceProp maxTexture2DLayered(int i, int maxTexture2DLayered);
@MemberGetter public native IntPointer maxTexture2DLayered();
/** Maximum Cubemap layered texture dimensions */
public native int maxTextureCubemapLayered(int i); public native cudaDeviceProp maxTextureCubemapLayered(int i, int maxTextureCubemapLayered);
@MemberGetter public native IntPointer maxTextureCubemapLayered();
/** Maximum 1D surface size */
public native int maxSurface1D(); public native cudaDeviceProp maxSurface1D(int maxSurface1D);
/** Maximum 2D surface dimensions */
public native int maxSurface2D(int i); public native cudaDeviceProp maxSurface2D(int i, int maxSurface2D);
@MemberGetter public native IntPointer maxSurface2D();
/** Maximum 3D surface dimensions */
public native int maxSurface3D(int i); public native cudaDeviceProp maxSurface3D(int i, int maxSurface3D);
@MemberGetter public native IntPointer maxSurface3D();
/** Maximum 1D layered surface dimensions */
public native int maxSurface1DLayered(int i); public native cudaDeviceProp maxSurface1DLayered(int i, int maxSurface1DLayered);
@MemberGetter public native IntPointer maxSurface1DLayered();
/** Maximum 2D layered surface dimensions */
public native int maxSurface2DLayered(int i); public native cudaDeviceProp maxSurface2DLayered(int i, int maxSurface2DLayered);
@MemberGetter public native IntPointer maxSurface2DLayered();
/** Maximum Cubemap surface dimensions */
public native int maxSurfaceCubemap(); public native cudaDeviceProp maxSurfaceCubemap(int maxSurfaceCubemap);
/** Maximum Cubemap layered surface dimensions */
public native int maxSurfaceCubemapLayered(int i); public native cudaDeviceProp maxSurfaceCubemapLayered(int i, int maxSurfaceCubemapLayered);
@MemberGetter public native IntPointer maxSurfaceCubemapLayered();
/** Alignment requirements for surfaces */
public native @Cast("size_t") long surfaceAlignment(); public native cudaDeviceProp surfaceAlignment(long surfaceAlignment);
/** Device can possibly execute multiple kernels concurrently */
public native int concurrentKernels(); public native cudaDeviceProp concurrentKernels(int concurrentKernels);
/** Device has ECC support enabled */
public native int ECCEnabled(); public native cudaDeviceProp ECCEnabled(int ECCEnabled);
/** PCI bus ID of the device */
public native int pciBusID(); public native cudaDeviceProp pciBusID(int pciBusID);
/** PCI device ID of the device */
public native int pciDeviceID(); public native cudaDeviceProp pciDeviceID(int pciDeviceID);
/** PCI domain ID of the device */
public native int pciDomainID(); public native cudaDeviceProp pciDomainID(int pciDomainID);
/** 1 if device is a Tesla device using TCC driver, 0 otherwise */
public native int tccDriver(); public native cudaDeviceProp tccDriver(int tccDriver);
/** Number of asynchronous engines */
public native int asyncEngineCount(); public native cudaDeviceProp asyncEngineCount(int asyncEngineCount);
/** Device shares a unified address space with the host */
public native int unifiedAddressing(); public native cudaDeviceProp unifiedAddressing(int unifiedAddressing);
/** Peak memory clock frequency in kilohertz */
public native int memoryClockRate(); public native cudaDeviceProp memoryClockRate(int memoryClockRate);
/** Global memory bus width in bits */
public native int memoryBusWidth(); public native cudaDeviceProp memoryBusWidth(int memoryBusWidth);
/** Size of L2 cache in bytes */
public native int l2CacheSize(); public native cudaDeviceProp l2CacheSize(int l2CacheSize);
/** Maximum resident threads per multiprocessor */
public native int maxThreadsPerMultiProcessor(); public native cudaDeviceProp maxThreadsPerMultiProcessor(int maxThreadsPerMultiProcessor);
/** Device supports stream priorities */
public native int streamPrioritiesSupported(); public native cudaDeviceProp streamPrioritiesSupported(int streamPrioritiesSupported);
/** Device supports caching globals in L1 */
public native int globalL1CacheSupported(); public native cudaDeviceProp globalL1CacheSupported(int globalL1CacheSupported);
/** Device supports caching locals in L1 */
public native int localL1CacheSupported(); public native cudaDeviceProp localL1CacheSupported(int localL1CacheSupported);
/** Shared memory available per multiprocessor in bytes */
public native @Cast("size_t") long sharedMemPerMultiprocessor(); public native cudaDeviceProp sharedMemPerMultiprocessor(long sharedMemPerMultiprocessor);
/** 32-bit registers available per multiprocessor */
public native int regsPerMultiprocessor(); public native cudaDeviceProp regsPerMultiprocessor(int regsPerMultiprocessor);
/** Device supports allocating managed memory on this system */
public native int managedMemory(); public native cudaDeviceProp managedMemory(int managedMemory);
/** Device is on a multi-GPU board */
public native int isMultiGpuBoard(); public native cudaDeviceProp isMultiGpuBoard(int isMultiGpuBoard);
/** Unique identifier for a group of devices on the same multi-GPU board */
public native int multiGpuBoardGroupID(); public native cudaDeviceProp multiGpuBoardGroupID(int multiGpuBoardGroupID);
}
/** Empty device properties */
// #define cudaDevicePropDontCare
// {
// {'\0'}, /* char name[256]; */
// 0, /* size_t totalGlobalMem; */
// 0, /* size_t sharedMemPerBlock; */
// 0, /* int regsPerBlock; */
// 0, /* int warpSize; */
// 0, /* size_t memPitch; */
// 0, /* int maxThreadsPerBlock; */
// {0, 0, 0}, /* int maxThreadsDim[3]; */
// {0, 0, 0}, /* int maxGridSize[3]; */
// 0, /* int clockRate; */
// 0, /* size_t totalConstMem; */
// -1, /* int major; */
// -1, /* int minor; */
// 0, /* size_t textureAlignment; */
// 0, /* size_t texturePitchAlignment */
// -1, /* int deviceOverlap; */
// 0, /* int multiProcessorCount; */
// 0, /* int kernelExecTimeoutEnabled */
// 0, /* int integrated */
// 0, /* int canMapHostMemory */
// 0, /* int computeMode */
// 0, /* int maxTexture1D */
// 0, /* int maxTexture1DMipmap */
// 0, /* int maxTexture1DLinear */
// {0, 0}, /* int maxTexture2D[2] */
// {0, 0}, /* int maxTexture2DMipmap[2] */
// {0, 0, 0}, /* int maxTexture2DLinear[3] */
// {0, 0}, /* int maxTexture2DGather[2] */
// {0, 0, 0}, /* int maxTexture3D[3] */
// {0, 0, 0}, /* int maxTexture3DAlt[3] */
// 0, /* int maxTextureCubemap */
// {0, 0}, /* int maxTexture1DLayered[2] */
// {0, 0, 0}, /* int maxTexture2DLayered[3] */
// {0, 0}, /* int maxTextureCubemapLayered[2] */
// 0, /* int maxSurface1D */
// {0, 0}, /* int maxSurface2D[2] */
// {0, 0, 0}, /* int maxSurface3D[3] */
// {0, 0}, /* int maxSurface1DLayered[2] */
// {0, 0, 0}, /* int maxSurface2DLayered[3] */
// 0, /* int maxSurfaceCubemap */
// {0, 0}, /* int maxSurfaceCubemapLayered[2] */
// 0, /* size_t surfaceAlignment */
// 0, /* int concurrentKernels */
// 0, /* int ECCEnabled */
// 0, /* int pciBusID */
// 0, /* int pciDeviceID */
// 0, /* int pciDomainID */
// 0, /* int tccDriver */
// 0, /* int asyncEngineCount */
// 0, /* int unifiedAddressing */
// 0, /* int memoryClockRate */
// 0, /* int memoryBusWidth */
// 0, /* int l2CacheSize */
// 0, /* int maxThreadsPerMultiProcessor */
// 0, /* int streamPrioritiesSupported */
// 0, /* int globalL1CacheSupported */
// 0, /* int localL1CacheSupported */
// 0, /* size_t sharedMemPerMultiprocessor; */
// 0, /* int regsPerMultiprocessor; */
// 0, /* int managedMemory */
// 0, /* int isMultiGpuBoard */
// 0, /* int multiGpuBoardGroupID */
// }
/**
* CUDA IPC Handle Size
*/
public static final int CUDA_IPC_HANDLE_SIZE = 64;
/**
* CUDA IPC event handle
*/
public static class cudaIpcEventHandle_t extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaIpcEventHandle_t() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaIpcEventHandle_t(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaIpcEventHandle_t(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaIpcEventHandle_t position(long position) {
return (cudaIpcEventHandle_t)super.position(position);
}
public native @Cast("char") byte reserved(int i); public native cudaIpcEventHandle_t reserved(int i, byte reserved);
@MemberGetter public native @Cast("char*") BytePointer reserved();
}
/**
* CUDA IPC memory handle
*/
public static class cudaIpcMemHandle_t extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaIpcMemHandle_t() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaIpcMemHandle_t(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaIpcMemHandle_t(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaIpcMemHandle_t position(long position) {
return (cudaIpcMemHandle_t)super.position(position);
}
public native @Cast("char") byte reserved(int i); public native cudaIpcMemHandle_t reserved(int i, byte reserved);
@MemberGetter public native @Cast("char*") BytePointer reserved();
}
/*******************************************************************************
* *
* SHORTHAND TYPE DEFINITION USED BY RUNTIME API *
* *
*******************************************************************************/
/**
* CUDA Error types
*/
/**
* CUDA stream
*/
/**
* CUDA event types
*/
/**
* CUDA graphics resource types
*/
/**
* CUDA UUID types
*/
@Opaque public static class cudaUUID_t extends Pointer {
/** Empty constructor. Calls {@code super((Pointer)null)}. */
public cudaUUID_t() { super((Pointer)null); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaUUID_t(Pointer p) { super(p); }
}
/**
* CUDA output file modes
*/
/** \} */
/** \} */ /* END CUDART_TYPES */
// #endif /* !__DRIVER_TYPES_H__ */
// Parsed from
/*
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__SURFACE_TYPES_H__)
// #define __SURFACE_TYPES_H__
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
// #include "driver_types.h"
/**
* \addtogroup CUDART_TYPES
*
* \{
*/
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
public static final int cudaSurfaceType1D = 0x01;
public static final int cudaSurfaceType2D = 0x02;
public static final int cudaSurfaceType3D = 0x03;
public static final int cudaSurfaceTypeCubemap = 0x0C;
public static final int cudaSurfaceType1DLayered = 0xF1;
public static final int cudaSurfaceType2DLayered = 0xF2;
public static final int cudaSurfaceTypeCubemapLayered = 0xFC;
/**
* CUDA Surface boundary modes
*/
/** enum cudaSurfaceBoundaryMode */
public static final int
/** Zero boundary mode */
cudaBoundaryModeZero = 0,
/** Clamp boundary mode */
cudaBoundaryModeClamp = 1,
/** Trap boundary mode */
cudaBoundaryModeTrap = 2;
/**
* CUDA Surface format modes
*/
/** enum cudaSurfaceFormatMode */
public static final int
/** Forced format mode */
cudaFormatModeForced = 0,
/** Auto format mode */
cudaFormatModeAuto = 1;
/**
* CUDA Surface reference
*/
public static class surfaceReference extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public surfaceReference() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public surfaceReference(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public surfaceReference(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public surfaceReference position(long position) {
return (surfaceReference)super.position(position);
}
/**
* Channel descriptor for surface reference
*/
public native @ByRef cudaChannelFormatDesc channelDesc(); public native surfaceReference channelDesc(cudaChannelFormatDesc channelDesc);
}
/**
* An opaque value that represents a CUDA Surface object
*/
/** \} */
/** \} */ /* END CUDART_TYPES */
// #endif /* !__SURFACE_TYPES_H__ */
// Parsed from
/*
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__TEXTURE_TYPES_H__)
// #define __TEXTURE_TYPES_H__
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
// #include "driver_types.h"
/**
* \addtogroup CUDART_TYPES
*
* \{
*/
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
public static final int cudaTextureType1D = 0x01;
public static final int cudaTextureType2D = 0x02;
public static final int cudaTextureType3D = 0x03;
public static final int cudaTextureTypeCubemap = 0x0C;
public static final int cudaTextureType1DLayered = 0xF1;
public static final int cudaTextureType2DLayered = 0xF2;
public static final int cudaTextureTypeCubemapLayered = 0xFC;
/**
* CUDA texture address modes
*/
/** enum cudaTextureAddressMode */
public static final int
/** Wrapping address mode */
cudaAddressModeWrap = 0,
/** Clamp to edge address mode */
cudaAddressModeClamp = 1,
/** Mirror address mode */
cudaAddressModeMirror = 2,
/** Border address mode */
cudaAddressModeBorder = 3;
/**
* CUDA texture filter modes
*/
/** enum cudaTextureFilterMode */
public static final int
/** Point filter mode */
cudaFilterModePoint = 0,
/** Linear filter mode */
cudaFilterModeLinear = 1;
/**
* CUDA texture read modes
*/
/** enum cudaTextureReadMode */
public static final int
/** Read texture as specified element type */
cudaReadModeElementType = 0,
/** Read texture as normalized float */
cudaReadModeNormalizedFloat = 1;
/**
* CUDA texture reference
*/
public static class textureReference extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public textureReference() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public textureReference(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public textureReference(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public textureReference position(long position) {
return (textureReference)super.position(position);
}
/**
* Indicates whether texture reads are normalized or not
*/
public native int normalized(); public native textureReference normalized(int normalized);
/**
* Texture filter mode
*/
public native @Cast("cudaTextureFilterMode") int filterMode(); public native textureReference filterMode(int filterMode);
/**
* Texture address mode for up to 3 dimensions
*/
public native @Cast("cudaTextureAddressMode") int addressMode(int i); public native textureReference addressMode(int i, int addressMode);
@MemberGetter public native @Cast("cudaTextureAddressMode*") IntPointer addressMode();
/**
* Channel descriptor for the texture reference
*/
public native @ByRef cudaChannelFormatDesc channelDesc(); public native textureReference channelDesc(cudaChannelFormatDesc channelDesc);
/**
* Perform sRGB->linear conversion during texture read
*/
public native int sRGB(); public native textureReference sRGB(int sRGB);
/**
* Limit to the anisotropy ratio
*/
public native @Cast("unsigned int") int maxAnisotropy(); public native textureReference maxAnisotropy(int maxAnisotropy);
/**
* Mipmap filter mode
*/
public native @Cast("cudaTextureFilterMode") int mipmapFilterMode(); public native textureReference mipmapFilterMode(int mipmapFilterMode);
/**
* Offset applied to the supplied mipmap level
*/
public native float mipmapLevelBias(); public native textureReference mipmapLevelBias(float mipmapLevelBias);
/**
* Lower end of the mipmap level range to clamp access to
*/
public native float minMipmapLevelClamp(); public native textureReference minMipmapLevelClamp(float minMipmapLevelClamp);
/**
* Upper end of the mipmap level range to clamp access to
*/
public native float maxMipmapLevelClamp(); public native textureReference maxMipmapLevelClamp(float maxMipmapLevelClamp);
public native int __cudaReserved(int i); public native textureReference __cudaReserved(int i, int __cudaReserved);
@MemberGetter public native IntPointer __cudaReserved();
}
/**
* CUDA texture descriptor
*/
public static class cudaTextureDesc extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cudaTextureDesc() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cudaTextureDesc(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaTextureDesc(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cudaTextureDesc position(long position) {
return (cudaTextureDesc)super.position(position);
}
/**
* Texture address mode for up to 3 dimensions
*/
public native @Cast("cudaTextureAddressMode") int addressMode(int i); public native cudaTextureDesc addressMode(int i, int addressMode);
@MemberGetter public native @Cast("cudaTextureAddressMode*") IntPointer addressMode();
/**
* Texture filter mode
*/
public native @Cast("cudaTextureFilterMode") int filterMode(); public native cudaTextureDesc filterMode(int filterMode);
/**
* Texture read mode
*/
public native @Cast("cudaTextureReadMode") int readMode(); public native cudaTextureDesc readMode(int readMode);
/**
* Perform sRGB->linear conversion during texture read
*/
public native int sRGB(); public native cudaTextureDesc sRGB(int sRGB);
/**
* Indicates whether texture reads are normalized or not
*/
public native int normalizedCoords(); public native cudaTextureDesc normalizedCoords(int normalizedCoords);
/**
* Limit to the anisotropy ratio
*/
public native @Cast("unsigned int") int maxAnisotropy(); public native cudaTextureDesc maxAnisotropy(int maxAnisotropy);
/**
* Mipmap filter mode
*/
public native @Cast("cudaTextureFilterMode") int mipmapFilterMode(); public native cudaTextureDesc mipmapFilterMode(int mipmapFilterMode);
/**
* Offset applied to the supplied mipmap level
*/
public native float mipmapLevelBias(); public native cudaTextureDesc mipmapLevelBias(float mipmapLevelBias);
/**
* Lower end of the mipmap level range to clamp access to
*/
public native float minMipmapLevelClamp(); public native cudaTextureDesc minMipmapLevelClamp(float minMipmapLevelClamp);
/**
* Upper end of the mipmap level range to clamp access to
*/
public native float maxMipmapLevelClamp(); public native cudaTextureDesc maxMipmapLevelClamp(float maxMipmapLevelClamp);
}
/**
* An opaque value that represents a CUDA texture object
*/
/** \} */
/** \} */ /* END CUDART_TYPES */
// #endif /* !__TEXTURE_TYPES_H__ */
// Parsed from
/*
* Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__VECTOR_TYPES_H__)
// #define __VECTOR_TYPES_H__
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
// #if !defined(__CUDA_LIBDEVICE__) && !defined(__CUDACC_RTC__)
// #define EXCLUDE_FROM_RTC
// #include "builtin_types.h"
// #undef EXCLUDE_FROM_RTC
// #endif /* !__CUDA_LIBDEVICE__ && !__CUDACC_RTC__ */
// #include "host_defines.h"
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
// #if !defined(__CUDACC__) && !defined(__CUDACC_RTC__) && !defined(__CUDABE__) &&
// defined(_WIN32) && !defined(_WIN64)
// #else /* !__CUDACC__ && !__CUDACC_RTC__ && !__CUDABE__ && _WIN32 && !_WIN64 */
// #define __cuda_builtin_vector_align8(tag, members)
// struct __device_builtin__ __align__(8) tag
// {
// members
// }
// #endif /* !__CUDACC__ && !__CUDACC_RTC__ && !__CUDABE__ && _WIN32 && !_WIN64 */
public static class char1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public char1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public char1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public char1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public char1 position(long position) {
return (char1)super.position(position);
}
public native byte x(); public native char1 x(byte x);
}
public static class uchar1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uchar1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uchar1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uchar1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uchar1 position(long position) {
return (uchar1)super.position(position);
}
public native @Cast("unsigned char") byte x(); public native uchar1 x(byte x);
}
public static class char2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public char2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public char2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public char2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public char2 position(long position) {
return (char2)super.position(position);
}
public native byte x(); public native char2 x(byte x);
public native byte y(); public native char2 y(byte y);
}
public static class uchar2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uchar2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uchar2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uchar2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uchar2 position(long position) {
return (uchar2)super.position(position);
}
public native @Cast("unsigned char") byte x(); public native uchar2 x(byte x);
public native @Cast("unsigned char") byte y(); public native uchar2 y(byte y);
}
public static class char3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public char3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public char3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public char3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public char3 position(long position) {
return (char3)super.position(position);
}
public native byte x(); public native char3 x(byte x);
public native byte y(); public native char3 y(byte y);
public native byte z(); public native char3 z(byte z);
}
public static class uchar3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uchar3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uchar3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uchar3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uchar3 position(long position) {
return (uchar3)super.position(position);
}
public native @Cast("unsigned char") byte x(); public native uchar3 x(byte x);
public native @Cast("unsigned char") byte y(); public native uchar3 y(byte y);
public native @Cast("unsigned char") byte z(); public native uchar3 z(byte z);
}
public static class char4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public char4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public char4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public char4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public char4 position(long position) {
return (char4)super.position(position);
}
public native byte x(); public native char4 x(byte x);
public native byte y(); public native char4 y(byte y);
public native byte z(); public native char4 z(byte z);
public native byte w(); public native char4 w(byte w);
}
public static class uchar4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uchar4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uchar4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uchar4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uchar4 position(long position) {
return (uchar4)super.position(position);
}
public native @Cast("unsigned char") byte x(); public native uchar4 x(byte x);
public native @Cast("unsigned char") byte y(); public native uchar4 y(byte y);
public native @Cast("unsigned char") byte z(); public native uchar4 z(byte z);
public native @Cast("unsigned char") byte w(); public native uchar4 w(byte w);
}
public static class short1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public short1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public short1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public short1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public short1 position(long position) {
return (short1)super.position(position);
}
public native short x(); public native short1 x(short x);
}
public static class ushort1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ushort1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ushort1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ushort1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ushort1 position(long position) {
return (ushort1)super.position(position);
}
public native @Cast("unsigned short") short x(); public native ushort1 x(short x);
}
public static class short2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public short2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public short2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public short2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public short2 position(long position) {
return (short2)super.position(position);
}
public native short x(); public native short2 x(short x);
public native short y(); public native short2 y(short y);
}
public static class ushort2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ushort2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ushort2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ushort2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ushort2 position(long position) {
return (ushort2)super.position(position);
}
public native @Cast("unsigned short") short x(); public native ushort2 x(short x);
public native @Cast("unsigned short") short y(); public native ushort2 y(short y);
}
public static class short3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public short3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public short3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public short3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public short3 position(long position) {
return (short3)super.position(position);
}
public native short x(); public native short3 x(short x);
public native short y(); public native short3 y(short y);
public native short z(); public native short3 z(short z);
}
public static class ushort3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ushort3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ushort3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ushort3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ushort3 position(long position) {
return (ushort3)super.position(position);
}
public native @Cast("unsigned short") short x(); public native ushort3 x(short x);
public native @Cast("unsigned short") short y(); public native ushort3 y(short y);
public native @Cast("unsigned short") short z(); public native ushort3 z(short z);
}
public static class short4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public short4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public short4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public short4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public short4 position(long position) {
return (short4)super.position(position);
}
public native short x(); public native short4 x(short x); public native short y(); public native short4 y(short y); public native short z(); public native short4 z(short z); public native short w(); public native short4 w(short w);
}
public static class ushort4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ushort4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ushort4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ushort4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ushort4 position(long position) {
return (ushort4)super.position(position);
}
public native @Cast("unsigned short") short x(); public native ushort4 x(short x); public native @Cast("unsigned short") short y(); public native ushort4 y(short y); public native @Cast("unsigned short") short z(); public native ushort4 z(short z); public native @Cast("unsigned short") short w(); public native ushort4 w(short w);
}
public static class int1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public int1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public int1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public int1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public int1 position(long position) {
return (int1)super.position(position);
}
public native int x(); public native int1 x(int x);
}
public static class uint1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uint1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uint1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uint1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uint1 position(long position) {
return (uint1)super.position(position);
}
public native @Cast("unsigned int") int x(); public native uint1 x(int x);
}
public static class int2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public int2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public int2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public int2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public int2 position(long position) {
return (int2)super.position(position);
}
public native int x(); public native int2 x(int x); public native int y(); public native int2 y(int y);
}
public static class uint2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uint2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uint2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uint2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uint2 position(long position) {
return (uint2)super.position(position);
}
public native @Cast("unsigned int") int x(); public native uint2 x(int x); public native @Cast("unsigned int") int y(); public native uint2 y(int y);
}
public static class int3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public int3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public int3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public int3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public int3 position(long position) {
return (int3)super.position(position);
}
public native int x(); public native int3 x(int x);
public native int y(); public native int3 y(int y);
public native int z(); public native int3 z(int z);
}
public static class uint3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uint3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uint3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uint3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uint3 position(long position) {
return (uint3)super.position(position);
}
public native @Cast("unsigned int") int x(); public native uint3 x(int x);
public native @Cast("unsigned int") int y(); public native uint3 y(int y);
public native @Cast("unsigned int") int z(); public native uint3 z(int z);
}
public static class int4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public int4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public int4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public int4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public int4 position(long position) {
return (int4)super.position(position);
}
public native int x(); public native int4 x(int x);
public native int y(); public native int4 y(int y);
public native int z(); public native int4 z(int z);
public native int w(); public native int4 w(int w);
}
public static class uint4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public uint4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public uint4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public uint4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public uint4 position(long position) {
return (uint4)super.position(position);
}
public native @Cast("unsigned int") int x(); public native uint4 x(int x);
public native @Cast("unsigned int") int y(); public native uint4 y(int y);
public native @Cast("unsigned int") int z(); public native uint4 z(int z);
public native @Cast("unsigned int") int w(); public native uint4 w(int w);
}
public static class long1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public long1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public long1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public long1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public long1 position(long position) {
return (long1)super.position(position);
}
public native long x(); public native long1 x(long x);
}
public static class ulong1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulong1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulong1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulong1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulong1 position(long position) {
return (ulong1)super.position(position);
}
public native @Cast("unsigned long") long x(); public native ulong1 x(long x);
}
// #if defined(__CUDACC_RTC__) || defined(_WIN32)
public static class long2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public long2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public long2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public long2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public long2 position(long position) {
return (long2)super.position(position);
}
public native long x(); public native long2 x(long x); public native long y(); public native long2 y(long y);
}
public static class ulong2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulong2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulong2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulong2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulong2 position(long position) {
return (ulong2)super.position(position);
}
public native @Cast("unsigned long int") long x(); public native ulong2 x(long x); public native @Cast("unsigned long int") long y(); public native ulong2 y(long y);
}
// #else /* __CUDACC_RTC__ || _WIN32 */
// #endif /* __CUDACC_RTC__ || _WIN32 */
public static class long3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public long3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public long3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public long3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public long3 position(long position) {
return (long3)super.position(position);
}
public native long x(); public native long3 x(long x);
public native long y(); public native long3 y(long y);
public native long z(); public native long3 z(long z);
}
public static class ulong3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulong3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulong3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulong3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulong3 position(long position) {
return (ulong3)super.position(position);
}
public native @Cast("unsigned long int") long x(); public native ulong3 x(long x);
public native @Cast("unsigned long int") long y(); public native ulong3 y(long y);
public native @Cast("unsigned long int") long z(); public native ulong3 z(long z);
}
public static class long4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public long4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public long4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public long4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public long4 position(long position) {
return (long4)super.position(position);
}
public native long x(); public native long4 x(long x);
public native long y(); public native long4 y(long y);
public native long z(); public native long4 z(long z);
public native long w(); public native long4 w(long w);
}
public static class ulong4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulong4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulong4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulong4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulong4 position(long position) {
return (ulong4)super.position(position);
}
public native @Cast("unsigned long int") long x(); public native ulong4 x(long x);
public native @Cast("unsigned long int") long y(); public native ulong4 y(long y);
public native @Cast("unsigned long int") long z(); public native ulong4 z(long z);
public native @Cast("unsigned long int") long w(); public native ulong4 w(long w);
}
public static class float1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public float1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public float1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public float1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public float1 position(long position) {
return (float1)super.position(position);
}
public native float x(); public native float1 x(float x);
}
// #if !defined(__CUDACC__) && !defined(__CUDABE__) && defined(__arm__) &&
// defined(__ARM_PCS_VFP) && __GNUC__ == 4 && __GNUC_MINOR__ == 6
// #else /* !__CUDACC__ && !__CUDABE__ && __arm__ && __ARM_PCS_VFP &&
// __GNUC__ == 4&& __GNUC_MINOR__ == 6 */
public static class float2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public float2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public float2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public float2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public float2 position(long position) {
return (float2)super.position(position);
}
public native float x(); public native float2 x(float x); public native float y(); public native float2 y(float y);
}
// #endif /* !__CUDACC__ && !__CUDABE__ && __arm__ && __ARM_PCS_VFP &&
// __GNUC__ == 4&& __GNUC_MINOR__ == 6 */
public static class float3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public float3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public float3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public float3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public float3 position(long position) {
return (float3)super.position(position);
}
public native float x(); public native float3 x(float x);
public native float y(); public native float3 y(float y);
public native float z(); public native float3 z(float z);
}
public static class float4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public float4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public float4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public float4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public float4 position(long position) {
return (float4)super.position(position);
}
public native float x(); public native float4 x(float x);
public native float y(); public native float4 y(float y);
public native float z(); public native float4 z(float z);
public native float w(); public native float4 w(float w);
}
public static class longlong1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public longlong1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public longlong1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public longlong1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public longlong1 position(long position) {
return (longlong1)super.position(position);
}
public native long x(); public native longlong1 x(long x);
}
public static class ulonglong1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulonglong1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulonglong1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulonglong1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulonglong1 position(long position) {
return (ulonglong1)super.position(position);
}
public native @Cast("unsigned long long int") long x(); public native ulonglong1 x(long x);
}
public static class longlong2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public longlong2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public longlong2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public longlong2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public longlong2 position(long position) {
return (longlong2)super.position(position);
}
public native long x(); public native longlong2 x(long x);
public native long y(); public native longlong2 y(long y);
}
public static class ulonglong2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulonglong2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulonglong2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulonglong2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulonglong2 position(long position) {
return (ulonglong2)super.position(position);
}
public native @Cast("unsigned long long int") long x(); public native ulonglong2 x(long x);
public native @Cast("unsigned long long int") long y(); public native ulonglong2 y(long y);
}
public static class longlong3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public longlong3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public longlong3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public longlong3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public longlong3 position(long position) {
return (longlong3)super.position(position);
}
public native long x(); public native longlong3 x(long x);
public native long y(); public native longlong3 y(long y);
public native long z(); public native longlong3 z(long z);
}
public static class ulonglong3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulonglong3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulonglong3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulonglong3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulonglong3 position(long position) {
return (ulonglong3)super.position(position);
}
public native @Cast("unsigned long long int") long x(); public native ulonglong3 x(long x);
public native @Cast("unsigned long long int") long y(); public native ulonglong3 y(long y);
public native @Cast("unsigned long long int") long z(); public native ulonglong3 z(long z);
}
public static class longlong4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public longlong4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public longlong4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public longlong4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public longlong4 position(long position) {
return (longlong4)super.position(position);
}
public native long x(); public native longlong4 x(long x);
public native long y(); public native longlong4 y(long y);
public native long z(); public native longlong4 z(long z);
public native long w(); public native longlong4 w(long w);
}
public static class ulonglong4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public ulonglong4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public ulonglong4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public ulonglong4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public ulonglong4 position(long position) {
return (ulonglong4)super.position(position);
}
public native @Cast("unsigned long long int") long x(); public native ulonglong4 x(long x);
public native @Cast("unsigned long long int") long y(); public native ulonglong4 y(long y);
public native @Cast("unsigned long long int") long z(); public native ulonglong4 z(long z);
public native @Cast("unsigned long long int") long w(); public native ulonglong4 w(long w);
}
public static class double1 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public double1() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public double1(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public double1(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public double1 position(long position) {
return (double1)super.position(position);
}
public native double x(); public native double1 x(double x);
}
public static class double2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public double2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public double2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public double2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public double2 position(long position) {
return (double2)super.position(position);
}
public native double x(); public native double2 x(double x);
public native double y(); public native double2 y(double y);
}
public static class double3 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public double3() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public double3(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public double3(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public double3 position(long position) {
return (double3)super.position(position);
}
public native double x(); public native double3 x(double x);
public native double y(); public native double3 y(double y);
public native double z(); public native double3 z(double z);
}
public static class double4 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public double4() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public double4(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public double4(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public double4 position(long position) {
return (double4)super.position(position);
}
public native double x(); public native double4 x(double x);
public native double y(); public native double4 y(double y);
public native double z(); public native double4 z(double z);
public native double w(); public native double4 w(double w);
}
// #if !defined(__CUDACC__) && !defined(__CUDABE__) &&
// defined(_WIN32) && !defined(_WIN64)
// #endif /* !__CUDACC__ && !__CUDABE__ && _WIN32 && !_WIN64 */
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
@NoOffset public static class dim3 extends Pointer {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public dim3(Pointer p) { super(p); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public dim3(long size) { super((Pointer)null); allocateArray(size); }
private native void allocateArray(long size);
@Override public dim3 position(long position) {
return (dim3)super.position(position);
}
public native @Cast("unsigned int") int x(); public native dim3 x(int x);
public native @Cast("unsigned int") int y(); public native dim3 y(int y);
public native @Cast("unsigned int") int z(); public native dim3 z(int z);
// #if defined(__cplusplus)
public dim3(@Cast("unsigned int") int vx/*=1*/, @Cast("unsigned int") int vy/*=1*/, @Cast("unsigned int") int vz/*=1*/) { super((Pointer)null); allocate(vx, vy, vz); }
private native void allocate(@Cast("unsigned int") int vx/*=1*/, @Cast("unsigned int") int vy/*=1*/, @Cast("unsigned int") int vz/*=1*/);
public dim3() { super((Pointer)null); allocate(); }
private native void allocate();
public dim3(@ByVal uint3 v) { super((Pointer)null); allocate(v); }
private native void allocate(@ByVal uint3 v);
public native @ByVal @Name("operator uint3") uint3 asUint3();
// #endif /* __cplusplus */
}
// #undef __cuda_builtin_vector_align8
// #endif /* !__VECTOR_TYPES_H__ */
// Parsed from
/*
* Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
// #include "device_types.h"
// #if !defined(__CUDACC_RTC__)
// #define EXCLUDE_FROM_RTC
// #include "driver_types.h"
// #undef EXCLUDE_FROM_RTC
// #endif /* !__CUDACC_RTC__ */
// #include "surface_types.h"
// #include "texture_types.h"
// #include "vector_types.h"
// Parsed from
/*
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__CUDA_RUNTIME_API_H__)
// #define __CUDA_RUNTIME_API_H__
/**
* \latexonly
* \page sync_async API synchronization behavior
*
* \section memcpy_sync_async_behavior Memcpy
* The API provides memcpy/memset functions in both synchronous and asynchronous forms,
* the latter having an \e "Async" suffix. This is a misnomer as each function
* may exhibit synchronous or asynchronous behavior depending on the arguments
* passed to the function. In the reference documentation, each memcpy function is
* categorized as \e synchronous or \e asynchronous, corresponding to the definitions
* below.
*
* \subsection MemcpySynchronousBehavior Synchronous
*
*
* - For transfers from pageable host memory to device memory, a stream sync is performed
* before the copy is initiated. The function will return once the pageable
* buffer has been copied to the staging memory for DMA transfer to device memory,
* but the DMA to final destination may not have completed.
*
*
- For transfers from pinned host memory to device memory, the function is synchronous
* with respect to the host.
*
*
- For transfers from device to either pageable or pinned host memory, the function returns
* only once the copy has completed.
*
*
- For transfers from device memory to device memory, no host-side synchronization is
* performed.
*
*
- For transfers from any host memory to any host memory, the function is fully
* synchronous with respect to the host.
*
*
* \subsection MemcpyAsynchronousBehavior Asynchronous
*
*
* - For transfers from device memory to pageable host memory, the function
* will return only once the copy has completed.
*
*
- For transfers from any host memory to any host memory, the function is fully
* synchronous with respect to the host.
*
*
- For all other transfers, the function is fully asynchronous. If pageable
* memory must first be staged to pinned memory, this will be handled
* asynchronously with a worker thread.
*
*
* \section memset_sync_async_behavior Memset
* The cudaMemset functions are asynchronous with respect to the host
* except when the target memory is pinned host memory. The \e Async
* versions are always asynchronous with respect to the host.
*
* \section kernel_launch_details Kernel Launches
* Kernel launches are asynchronous with respect to the host. Details of
* concurrent kernel execution and data transfers can be found in the CUDA
* Programmers Guide.
*
* \endlatexonly
*/
/**
* There are two levels for the runtime API.
*
* The C API (cuda_runtime_api.h) is
* a C-style interface that does not require compiling with \p nvcc.
*
* The \ref CUDART_HIGHLEVEL "C++ API" (cuda_runtime.h) is a
* C++-style interface built on top of the C API. It wraps some of the
* C API routines, using overloading, references and default arguments.
* These wrappers can be used from C++ code and can be compiled with any C++
* compiler. The C++ API also has some CUDA-specific wrappers that wrap
* C API routines that deal with symbols, textures, and device functions.
* These wrappers require the use of \p nvcc because they depend on code being
* generated by the compiler. For example, the execution configuration syntax
* to invoke kernels is only available in source code compiled with \p nvcc.
*/
/** CUDA Runtime API Version */
public static final int CUDART_VERSION = 7050;
// #include "host_defines.h"
// #include "builtin_types.h"
// #if !defined(__CUDACC_INTEGRATED__)
// #include "cuda_device_runtime_api.h"
// #endif /* !defined(__CUDACC_INTEGRATED__) */
// #if defined(CUDA_API_PER_THREAD_DEFAULT_STREAM) || defined(__CUDA_API_VERSION_INTERNAL)
// #define __CUDART_API_PER_THREAD_DEFAULT_STREAM
// #define __CUDART_API_PTDS(api) api ## _ptds
// #define __CUDART_API_PTSZ(api) api ## _ptsz
// #else
// #define __CUDART_API_PTDS(api) api
// #define __CUDART_API_PTSZ(api) api
// #endif
// #if defined(__CUDART_API_PER_THREAD_DEFAULT_STREAM)
// #endif
/** \cond impl_private */
// #if !defined(__dv)
// #if defined(__cplusplus)
// #define __dv(v)
// = v
// #else /* __cplusplus */
// #define __dv(v)
// #endif /* __cplusplus */
// #endif /* !__dv */
/** \endcond impl_private */
// #if !defined(__CUDACC_INTEGRATED__) && (!defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 350)) /** Visible to SM>=3.5 and "__host__ __device__" only **/
// #define CUDART_DEVICE __device__
// #else
// #define CUDART_DEVICE
// #endif /** CUDART_DEVICE */
// #if defined(__cplusplus)
// #endif /* __cplusplus */
/**
* \defgroup CUDART_DEVICE Device Management
*
* ___MANBRIEF___ device management functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the device management functions of the CUDA runtime
* application programming interface.
*
* \{
*/
/**
* \brief Destroy all allocations and reset all state on the current device
* in the current process.
*
* Explicitly destroys and cleans up all resources associated with the current
* device in the current process. Any subsequent API call to this device will
* reinitialize the device.
*
* Note that this function will reset the device immediately. It is the caller's
* responsibility to ensure that the device is not being accessed by any
* other host threads from the process when this function is called.
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \sa ::cudaDeviceSynchronize
*/
public static native @Cast("cudaError_t") int cudaDeviceReset();
/**
* \brief Wait for compute device to finish
*
* Blocks until the device has completed all preceding requested tasks.
* ::cudaDeviceSynchronize() returns an error if one of the preceding tasks
* has failed. If the ::cudaDeviceScheduleBlockingSync flag was set for
* this device, the host thread will block until the device has finished
* its work.
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \sa ::cudaDeviceReset
*/
public static native @Cast("cudaError_t") int cudaDeviceSynchronize();
/**
* \brief Set resource limits
*
* Setting \p limit to \p value is a request by the application to update
* the current limit maintained by the device. The driver is free to
* modify the requested value to meet h/w requirements (this could be
* clamping to minimum or maximum values, rounding up to nearest element
* size, etc). The application can use ::cudaDeviceGetLimit() to find out
* exactly what the limit has been set to.
*
* Setting each ::cudaLimit has its own specific restrictions, so each is
* discussed here.
*
* - ::cudaLimitStackSize controls the stack size in bytes of each GPU thread.
*
* - ::cudaLimitPrintfFifoSize controls the size in bytes of the shared FIFO
* used by the ::printf() and ::fprintf() device system calls. Setting
* ::cudaLimitPrintfFifoSize must not be performed after launching any kernel
* that uses the ::printf() or ::fprintf() device system calls - in such case
* ::cudaErrorInvalidValue will be returned.
*
* - ::cudaLimitMallocHeapSize controls the size in bytes of the heap used by
* the ::malloc() and ::free() device system calls. Setting
* ::cudaLimitMallocHeapSize must not be performed after launching any kernel
* that uses the ::malloc() or ::free() device system calls - in such case
* ::cudaErrorInvalidValue will be returned.
*
* - ::cudaLimitDevRuntimeSyncDepth controls the maximum nesting depth of a
* grid at which a thread can safely call ::cudaDeviceSynchronize(). Setting
* this limit must be performed before any launch of a kernel that uses the
* device runtime and calls ::cudaDeviceSynchronize() above the default sync
* depth, two levels of grids. Calls to ::cudaDeviceSynchronize() will fail
* with error code ::cudaErrorSyncDepthExceeded if the limitation is
* violated. This limit can be set smaller than the default or up the maximum
* launch depth of 24. When setting this limit, keep in mind that additional
* levels of sync depth require the runtime to reserve large amounts of
* device memory which can no longer be used for user allocations. If these
* reservations of device memory fail, ::cudaDeviceSetLimit will return
* ::cudaErrorMemoryAllocation, and the limit can be reset to a lower value.
* This limit is only applicable to devices of compute capability 3.5 and
* higher. Attempting to set this limit on devices of compute capability less
* than 3.5 will result in the error ::cudaErrorUnsupportedLimit being
* returned.
*
* - ::cudaLimitDevRuntimePendingLaunchCount controls the maximum number of
* outstanding device runtime launches that can be made from the current
* device. A grid is outstanding from the point of launch up until the grid
* is known to have been completed. Device runtime launches which violate
* this limitation fail and return ::cudaErrorLaunchPendingCountExceeded when
* ::cudaGetLastError() is called after launch. If more pending launches than
* the default (2048 launches) are needed for a module using the device
* runtime, this limit can be increased. Keep in mind that being able to
* sustain additional pending launches will require the runtime to reserve
* larger amounts of device memory upfront which can no longer be used for
* allocations. If these reservations fail, ::cudaDeviceSetLimit will return
* ::cudaErrorMemoryAllocation, and the limit can be reset to a lower value.
* This limit is only applicable to devices of compute capability 3.5 and
* higher. Attempting to set this limit on devices of compute capability less
* than 3.5 will result in the error ::cudaErrorUnsupportedLimit being
* returned.
*
* @param limit - Limit to set
* @param value - Size of limit
*
* @return
* ::cudaSuccess,
* ::cudaErrorUnsupportedLimit,
* ::cudaErrorInvalidValue,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaDeviceGetLimit
*/
public static native @Cast("cudaError_t") int cudaDeviceSetLimit(@Cast("cudaLimit") int limit, @Cast("size_t") long value);
/**
* \brief Returns resource limits
*
* Returns in \p *pValue the current size of \p limit. The supported
* ::cudaLimit values are:
* - ::cudaLimitStackSize: stack size in bytes of each GPU thread;
* - ::cudaLimitPrintfFifoSize: size in bytes of the shared FIFO used by the
* ::printf() and ::fprintf() device system calls.
* - ::cudaLimitMallocHeapSize: size in bytes of the heap used by the
* ::malloc() and ::free() device system calls;
* - ::cudaLimitDevRuntimeSyncDepth: maximum grid depth at which a
* thread can isssue the device runtime call ::cudaDeviceSynchronize()
* to wait on child grid launches to complete.
* - ::cudaLimitDevRuntimePendingLaunchCount: maximum number of outstanding
* device runtime launches.
*
* @param limit - Limit to query
* @param pValue - Returned size of the limit
*
* @return
* ::cudaSuccess,
* ::cudaErrorUnsupportedLimit,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaDeviceSetLimit
*/
public static native @Cast("cudaError_t") int cudaDeviceGetLimit(@Cast("size_t*") SizeTPointer pValue, @Cast("cudaLimit") int limit);
/**
* \brief Returns the preferred cache configuration for the current device.
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this returns through \p pCacheConfig the preferred cache
* configuration for the current device. This is only a preference. The
* runtime will use the requested configuration if possible, but it is free to
* choose a different configuration if required to execute functions.
*
* This will return a \p pCacheConfig of ::cudaFuncCachePreferNone on devices
* where the size of the L1 cache and shared memory are fixed.
*
* The supported cache configurations are:
* - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default)
* - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache
* - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory
* - ::cudaFuncCachePreferEqual: prefer equal size L1 cache and shared memory
*
* @param pCacheConfig - Returned cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa cudaDeviceSetCacheConfig,
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaDeviceGetCacheConfig(@Cast("cudaFuncCache*") IntPointer pCacheConfig);
public static native @Cast("cudaError_t") int cudaDeviceGetCacheConfig(@Cast("cudaFuncCache*") IntBuffer pCacheConfig);
public static native @Cast("cudaError_t") int cudaDeviceGetCacheConfig(@Cast("cudaFuncCache*") int[] pCacheConfig);
/**
* \brief Returns numerical values that correspond to the least and
* greatest stream priorities.
*
* Returns in \p *leastPriority and \p *greatestPriority the numerical values that correspond
* to the least and greatest stream priorities respectively. Stream priorities
* follow a convention where lower numbers imply greater priorities. The range of
* meaningful stream priorities is given by [\p *greatestPriority, \p *leastPriority].
* If the user attempts to create a stream with a priority value that is
* outside the the meaningful range as specified by this API, the priority is
* automatically clamped down or up to either \p *leastPriority or \p *greatestPriority
* respectively. See ::cudaStreamCreateWithPriority for details on creating a
* priority stream.
* A NULL may be passed in for \p *leastPriority or \p *greatestPriority if the value
* is not desired.
*
* This function will return '0' in both \p *leastPriority and \p *greatestPriority if
* the current context's device does not support stream priorities
* (see ::cudaDeviceGetAttribute).
*
* @param leastPriority - Pointer to an int in which the numerical value for least
* stream priority is returned
* @param greatestPriority - Pointer to an int in which the numerical value for greatest
* stream priority is returned
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaStreamCreateWithPriority,
* ::cudaStreamGetPriority
*/
public static native @Cast("cudaError_t") int cudaDeviceGetStreamPriorityRange(IntPointer leastPriority, IntPointer greatestPriority);
public static native @Cast("cudaError_t") int cudaDeviceGetStreamPriorityRange(IntBuffer leastPriority, IntBuffer greatestPriority);
public static native @Cast("cudaError_t") int cudaDeviceGetStreamPriorityRange(int[] leastPriority, int[] greatestPriority);
/**
* \brief Sets the preferred cache configuration for the current device.
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this sets through \p cacheConfig the preferred cache
* configuration for the current device. This is only a preference. The
* runtime will use the requested configuration if possible, but it is free to
* choose a different configuration if required to execute the function. Any
* function preference set via
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)"
* or
* \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)"
* will be preferred over this device-wide setting. Setting the device-wide
* cache configuration to ::cudaFuncCachePreferNone will cause subsequent
* kernel launches to prefer to not change the cache configuration unless
* required to launch the kernel.
*
* This setting does nothing on devices where the size of the L1 cache and
* shared memory are fixed.
*
* Launching a kernel with a different preference than the most recent
* preference setting may insert a device-side synchronization point.
*
* The supported cache configurations are:
* - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default)
* - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache
* - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory
* - ::cudaFuncCachePreferEqual: prefer equal size L1 cache and shared memory
*
* @param cacheConfig - Requested cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaDeviceGetCacheConfig,
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaDeviceSetCacheConfig(@Cast("cudaFuncCache") int cacheConfig);
/**
* \brief Returns the shared memory configuration for the current device.
*
* This function will return in \p pConfig the current size of shared memory banks
* on the current device. On devices with configurable shared memory banks,
* ::cudaDeviceSetSharedMemConfig can be used to change this setting, so that all
* subsequent kernel launches will by default use the new bank size. When
* ::cudaDeviceGetSharedMemConfig is called on devices without configurable shared
* memory, it will return the fixed bank size of the hardware.
*
* The returned bank configurations can be either:
* - ::cudaSharedMemBankSizeFourByte - shared memory bank width is four bytes.
* - ::cudaSharedMemBankSizeEightByte - shared memory bank width is eight bytes.
*
* @param pConfig - Returned cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaDeviceSetCacheConfig,
* ::cudaDeviceGetCacheConfig,
* ::cudaDeviceSetSharedMemConfig,
* ::cudaFuncSetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaDeviceGetSharedMemConfig(@Cast("cudaSharedMemConfig*") IntPointer pConfig);
public static native @Cast("cudaError_t") int cudaDeviceGetSharedMemConfig(@Cast("cudaSharedMemConfig*") IntBuffer pConfig);
public static native @Cast("cudaError_t") int cudaDeviceGetSharedMemConfig(@Cast("cudaSharedMemConfig*") int[] pConfig);
/**
* \brief Sets the shared memory configuration for the current device.
*
* On devices with configurable shared memory banks, this function will set
* the shared memory bank size which is used for all subsequent kernel launches.
* Any per-function setting of shared memory set via ::cudaFuncSetSharedMemConfig
* will override the device wide setting.
*
* Changing the shared memory configuration between launches may introduce
* a device side synchronization point.
*
* Changing the shared memory bank size will not increase shared memory usage
* or affect occupancy of kernels, but may have major effects on performance.
* Larger bank sizes will allow for greater potential bandwidth to shared memory,
* but will change what kinds of accesses to shared memory will result in bank
* conflicts.
*
* This function will do nothing on devices with fixed shared memory bank size.
*
* The supported bank configurations are:
* - ::cudaSharedMemBankSizeDefault: set bank width the device default (currently,
* four bytes)
* - ::cudaSharedMemBankSizeFourByte: set shared memory bank width to be four bytes
* natively.
* - ::cudaSharedMemBankSizeEightByte: set shared memory bank width to be eight
* bytes natively.
*
* @param config - Requested cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaDeviceSetCacheConfig,
* ::cudaDeviceGetCacheConfig,
* ::cudaDeviceGetSharedMemConfig,
* ::cudaFuncSetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaDeviceSetSharedMemConfig(@Cast("cudaSharedMemConfig") int config);
/**
* \brief Returns a handle to a compute device
*
* Returns in \p *device a device ordinal given a PCI bus ID string.
*
* @param device - Returned device ordinal
*
* @param pciBusId - String in one of the following forms:
* [domain]:[bus]:[device].[function]
* [domain]:[bus]:[device]
* [bus]:[device].[function]
* where \p domain, \p bus, \p device, and \p function are all hexadecimal values
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
*
* \sa ::cudaDeviceGetPCIBusId
*/
public static native @Cast("cudaError_t") int cudaDeviceGetByPCIBusId(IntPointer device, @Cast("const char*") BytePointer pciBusId);
public static native @Cast("cudaError_t") int cudaDeviceGetByPCIBusId(IntBuffer device, String pciBusId);
public static native @Cast("cudaError_t") int cudaDeviceGetByPCIBusId(int[] device, @Cast("const char*") BytePointer pciBusId);
public static native @Cast("cudaError_t") int cudaDeviceGetByPCIBusId(IntPointer device, String pciBusId);
public static native @Cast("cudaError_t") int cudaDeviceGetByPCIBusId(IntBuffer device, @Cast("const char*") BytePointer pciBusId);
public static native @Cast("cudaError_t") int cudaDeviceGetByPCIBusId(int[] device, String pciBusId);
/**
* \brief Returns a PCI Bus Id string for the device
*
* Returns an ASCII string identifying the device \p dev in the NULL-terminated
* string pointed to by \p pciBusId. \p len specifies the maximum length of the
* string that may be returned.
*
* @param pciBusId - Returned identifier string for the device in the following format
* [domain]:[bus]:[device].[function]
* where \p domain, \p bus, \p device, and \p function are all hexadecimal values.
* pciBusId should be large enough to store 13 characters including the NULL-terminator.
*
* @param len - Maximum length of string to store in \p name
*
* @param device - Device to get identifier string for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
*
* \sa ::cudaDeviceGetByPCIBusId
*/
public static native @Cast("cudaError_t") int cudaDeviceGetPCIBusId(@Cast("char*") BytePointer pciBusId, int len, int device);
public static native @Cast("cudaError_t") int cudaDeviceGetPCIBusId(@Cast("char*") ByteBuffer pciBusId, int len, int device);
public static native @Cast("cudaError_t") int cudaDeviceGetPCIBusId(@Cast("char*") byte[] pciBusId, int len, int device);
/**
* \brief Gets an interprocess handle for a previously allocated event
*
* Takes as input a previously allocated event. This event must have been
* created with the ::cudaEventInterprocess and ::cudaEventDisableTiming
* flags set. This opaque handle may be copied into other processes and
* opened with ::cudaIpcOpenEventHandle to allow efficient hardware
* synchronization between GPU work in different processes.
*
* After the event has been been opened in the importing process,
* ::cudaEventRecord, ::cudaEventSynchronize, ::cudaStreamWaitEvent and
* ::cudaEventQuery may be used in either process. Performing operations
* on the imported event after the exported event has been freed
* with ::cudaEventDestroy will result in undefined behavior.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param handle - Pointer to a user allocated cudaIpcEventHandle
* in which to return the opaque event handle
* @param event - Event allocated with ::cudaEventInterprocess and
* ::cudaEventDisableTiming flags.
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorMemoryAllocation,
* ::cudaErrorMapBufferObjectFailed
*
* \sa
* ::cudaEventCreate,
* ::cudaEventDestroy,
* ::cudaEventSynchronize,
* ::cudaEventQuery,
* ::cudaStreamWaitEvent,
* ::cudaIpcOpenEventHandle,
* ::cudaIpcGetMemHandle,
* ::cudaIpcOpenMemHandle,
* ::cudaIpcCloseMemHandle
*/
public static native @Cast("cudaError_t") int cudaIpcGetEventHandle(cudaIpcEventHandle_t handle, CUevent_st event);
/**
* \brief Opens an interprocess event handle for use in the current process
*
* Opens an interprocess event handle exported from another process with
* ::cudaIpcGetEventHandle. This function returns a ::cudaEvent_t that behaves like
* a locally created event with the ::cudaEventDisableTiming flag specified.
* This event must be freed with ::cudaEventDestroy.
*
* Performing operations on the imported event after the exported event has
* been freed with ::cudaEventDestroy will result in undefined behavior.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param event - Returns the imported event
* @param handle - Interprocess handle to open
*
* @return
* ::cudaSuccess,
* ::cudaErrorMapBufferObjectFailed,
* ::cudaErrorInvalidResourceHandle
*
* \sa
* ::cudaEventCreate,
* ::cudaEventDestroy,
* ::cudaEventSynchronize,
* ::cudaEventQuery,
* ::cudaStreamWaitEvent,
* ::cudaIpcGetEventHandle,
* ::cudaIpcGetMemHandle,
* ::cudaIpcOpenMemHandle,
* ::cudaIpcCloseMemHandle
*/
public static native @Cast("cudaError_t") int cudaIpcOpenEventHandle(@ByPtrPtr CUevent_st event, @ByVal cudaIpcEventHandle_t handle);
/**
* \brief Gets an interprocess memory handle for an existing device memory
* allocation
*
* Takes a pointer to the base of an existing device memory allocation created
* with ::cudaMalloc and exports it for use in another process. This is a
* lightweight operation and may be called multiple times on an allocation
* without adverse effects.
*
* If a region of memory is freed with ::cudaFree and a subsequent call
* to ::cudaMalloc returns memory with the same device address,
* ::cudaIpcGetMemHandle will return a unique handle for the
* new memory.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param handle - Pointer to user allocated ::cudaIpcMemHandle to return
* the handle in.
* @param devPtr - Base pointer to previously allocated device memory
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorMemoryAllocation,
* ::cudaErrorMapBufferObjectFailed,
*
* \sa
* ::cudaMalloc,
* ::cudaFree,
* ::cudaIpcGetEventHandle,
* ::cudaIpcOpenEventHandle,
* ::cudaIpcOpenMemHandle,
* ::cudaIpcCloseMemHandle
*/
public static native @Cast("cudaError_t") int cudaIpcGetMemHandle(cudaIpcMemHandle_t handle, Pointer devPtr);
/**
* \brief Opens an interprocess memory handle exported from another process
* and returns a device pointer usable in the local process.
*
* Maps memory exported from another process with ::cudaIpcGetMemHandle into
* the current device address space. For contexts on different devices
* ::cudaIpcOpenMemHandle can attempt to enable peer access between the
* devices as if the user called ::cudaDeviceEnablePeerAccess. This behavior is
* controlled by the ::cudaIpcMemLazyEnablePeerAccess flag.
* ::cudaDeviceCanAccessPeer can determine if a mapping is possible.
*
* Contexts that may open ::cudaIpcMemHandles are restricted in the following way.
* ::cudaIpcMemHandles from each device in a given process may only be opened
* by one context per device per other process.
*
* Memory returned from ::cudaIpcOpenMemHandle must be freed with
* ::cudaIpcCloseMemHandle.
*
* Calling ::cudaFree on an exported memory region before calling
* ::cudaIpcCloseMemHandle in the importing context will result in undefined
* behavior.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param devPtr - Returned device pointer
* @param handle - ::cudaIpcMemHandle to open
* @param flags - Flags for this operation. Must be specified as ::cudaIpcMemLazyEnablePeerAccess
*
* @return
* ::cudaSuccess,
* ::cudaErrorMapBufferObjectFailed,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorTooManyPeers
*
* \note No guarantees are made about the address returned in \p *devPtr.
* In particular, multiple processes may not receive the same address for the same \p handle.
*
* \sa
* ::cudaMalloc,
* ::cudaFree,
* ::cudaIpcGetEventHandle,
* ::cudaIpcOpenEventHandle,
* ::cudaIpcGetMemHandle,
* ::cudaIpcCloseMemHandle,
* ::cudaDeviceEnablePeerAccess,
* ::cudaDeviceCanAccessPeer,
*/
public static native @Cast("cudaError_t") int cudaIpcOpenMemHandle(@Cast("void**") PointerPointer devPtr, @ByVal cudaIpcMemHandle_t handle, @Cast("unsigned int") int flags);
public static native @Cast("cudaError_t") int cudaIpcOpenMemHandle(@Cast("void**") @ByPtrPtr Pointer devPtr, @ByVal cudaIpcMemHandle_t handle, @Cast("unsigned int") int flags);
/**
* \brief Close memory mapped with cudaIpcOpenMemHandle
*
* Unmaps memory returnd by ::cudaIpcOpenMemHandle. The original allocation
* in the exporting process as well as imported mappings in other processes
* will be unaffected.
*
* Any resources used to enable peer access will be freed if this is the
* last mapping using them.
*
* IPC functionality is restricted to devices with support for unified
* addressing on Linux operating systems.
*
* @param devPtr - Device pointer returned by ::cudaIpcOpenMemHandle
*
* @return
* ::cudaSuccess,
* ::cudaErrorMapBufferObjectFailed,
* ::cudaErrorInvalidResourceHandle,
*
* \sa
* ::cudaMalloc,
* ::cudaFree,
* ::cudaIpcGetEventHandle,
* ::cudaIpcOpenEventHandle,
* ::cudaIpcGetMemHandle,
* ::cudaIpcOpenMemHandle,
*/
public static native @Cast("cudaError_t") int cudaIpcCloseMemHandle(Pointer devPtr);
/** \} */ /* END CUDART_DEVICE */
/**
* \defgroup CUDART_THREAD_DEPRECATED Thread Management [DEPRECATED]
*
* ___MANBRIEF___ deprecated thread management functions of the CUDA runtime
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes deprecated thread management functions of the CUDA runtime
* application programming interface.
*
* \{
*/
/**
* \brief Exit and clean up from CUDA launches
*
* @deprecated
*
* Note that this function is deprecated because its name does not
* reflect its behavior. Its functionality is identical to the
* non-deprecated function ::cudaDeviceReset(), which should be used
* instead.
*
* Explicitly destroys all cleans up all resources associated with the current
* device in the current process. Any subsequent API call to this device will
* reinitialize the device.
*
* Note that this function will reset the device immediately. It is the caller's
* responsibility to ensure that the device is not being accessed by any
* other host threads from the process when this function is called.
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \sa ::cudaDeviceReset
*/
public static native @Cast("cudaError_t") int cudaThreadExit();
/**
* \brief Wait for compute device to finish
*
* @deprecated
*
* Note that this function is deprecated because its name does not
* reflect its behavior. Its functionality is similar to the
* non-deprecated function ::cudaDeviceSynchronize(), which should be used
* instead.
*
* Blocks until the device has completed all preceding requested tasks.
* ::cudaThreadSynchronize() returns an error if one of the preceding tasks
* has failed. If the ::cudaDeviceScheduleBlockingSync flag was set for
* this device, the host thread will block until the device has finished
* its work.
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \sa ::cudaDeviceSynchronize
*/
public static native @Cast("cudaError_t") int cudaThreadSynchronize();
/**
* \brief Set resource limits
*
* @deprecated
*
* Note that this function is deprecated because its name does not
* reflect its behavior. Its functionality is identical to the
* non-deprecated function ::cudaDeviceSetLimit(), which should be used
* instead.
*
* Setting \p limit to \p value is a request by the application to update
* the current limit maintained by the device. The driver is free to
* modify the requested value to meet h/w requirements (this could be
* clamping to minimum or maximum values, rounding up to nearest element
* size, etc). The application can use ::cudaThreadGetLimit() to find out
* exactly what the limit has been set to.
*
* Setting each ::cudaLimit has its own specific restrictions, so each is
* discussed here.
*
* - ::cudaLimitStackSize controls the stack size of each GPU thread.
*
* - ::cudaLimitPrintfFifoSize controls the size of the shared FIFO
* used by the ::printf() and ::fprintf() device system calls.
* Setting ::cudaLimitPrintfFifoSize must be performed before
* launching any kernel that uses the ::printf() or ::fprintf() device
* system calls, otherwise ::cudaErrorInvalidValue will be returned.
*
* - ::cudaLimitMallocHeapSize controls the size of the heap used
* by the ::malloc() and ::free() device system calls. Setting
* ::cudaLimitMallocHeapSize must be performed before launching
* any kernel that uses the ::malloc() or ::free() device system calls,
* otherwise ::cudaErrorInvalidValue will be returned.
*
* @param limit - Limit to set
* @param value - Size in bytes of limit
*
* @return
* ::cudaSuccess,
* ::cudaErrorUnsupportedLimit,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaDeviceSetLimit
*/
public static native @Cast("cudaError_t") int cudaThreadSetLimit(@Cast("cudaLimit") int limit, @Cast("size_t") long value);
/**
* \brief Returns resource limits
*
* @deprecated
*
* Note that this function is deprecated because its name does not
* reflect its behavior. Its functionality is identical to the
* non-deprecated function ::cudaDeviceGetLimit(), which should be used
* instead.
*
* Returns in \p *pValue the current size of \p limit. The supported
* ::cudaLimit values are:
* - ::cudaLimitStackSize: stack size of each GPU thread;
* - ::cudaLimitPrintfFifoSize: size of the shared FIFO used by the
* ::printf() and ::fprintf() device system calls.
* - ::cudaLimitMallocHeapSize: size of the heap used by the
* ::malloc() and ::free() device system calls;
*
* @param limit - Limit to query
* @param pValue - Returned size in bytes of limit
*
* @return
* ::cudaSuccess,
* ::cudaErrorUnsupportedLimit,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaDeviceGetLimit
*/
public static native @Cast("cudaError_t") int cudaThreadGetLimit(@Cast("size_t*") SizeTPointer pValue, @Cast("cudaLimit") int limit);
/**
* \brief Returns the preferred cache configuration for the current device.
*
* @deprecated
*
* Note that this function is deprecated because its name does not
* reflect its behavior. Its functionality is identical to the
* non-deprecated function ::cudaDeviceGetCacheConfig(), which should be
* used instead.
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this returns through \p pCacheConfig the preferred cache
* configuration for the current device. This is only a preference. The
* runtime will use the requested configuration if possible, but it is free to
* choose a different configuration if required to execute functions.
*
* This will return a \p pCacheConfig of ::cudaFuncCachePreferNone on devices
* where the size of the L1 cache and shared memory are fixed.
*
* The supported cache configurations are:
* - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default)
* - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache
* - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory
*
* @param pCacheConfig - Returned cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa cudaDeviceGetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaThreadGetCacheConfig(@Cast("cudaFuncCache*") IntPointer pCacheConfig);
public static native @Cast("cudaError_t") int cudaThreadGetCacheConfig(@Cast("cudaFuncCache*") IntBuffer pCacheConfig);
public static native @Cast("cudaError_t") int cudaThreadGetCacheConfig(@Cast("cudaFuncCache*") int[] pCacheConfig);
/**
* \brief Sets the preferred cache configuration for the current device.
*
* @deprecated
*
* Note that this function is deprecated because its name does not
* reflect its behavior. Its functionality is identical to the
* non-deprecated function ::cudaDeviceSetCacheConfig(), which should be
* used instead.
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this sets through \p cacheConfig the preferred cache
* configuration for the current device. This is only a preference. The
* runtime will use the requested configuration if possible, but it is free to
* choose a different configuration if required to execute the function. Any
* function preference set via
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)"
* or
* \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)"
* will be preferred over this device-wide setting. Setting the device-wide
* cache configuration to ::cudaFuncCachePreferNone will cause subsequent
* kernel launches to prefer to not change the cache configuration unless
* required to launch the kernel.
*
* This setting does nothing on devices where the size of the L1 cache and
* shared memory are fixed.
*
* Launching a kernel with a different preference than the most recent
* preference setting may insert a device-side synchronization point.
*
* The supported cache configurations are:
* - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default)
* - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache
* - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory
*
* @param cacheConfig - Requested cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaDeviceSetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaThreadSetCacheConfig(@Cast("cudaFuncCache") int cacheConfig);
/** \} */ /* END CUDART_THREAD_DEPRECATED */
/**
* \defgroup CUDART_ERROR Error Handling
*
* ___MANBRIEF___ error handling functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the error handling functions of the CUDA runtime
* application programming interface.
*
* \{
*/
/**
* \brief Returns the last error from a runtime call
*
* Returns the last error that has been produced by any of the runtime calls
* in the same host thread and resets it to ::cudaSuccess.
*
* @return
* ::cudaSuccess,
* ::cudaErrorMissingConfiguration,
* ::cudaErrorMemoryAllocation,
* ::cudaErrorInitializationError,
* ::cudaErrorLaunchFailure,
* ::cudaErrorLaunchTimeout,
* ::cudaErrorLaunchOutOfResources,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidConfiguration,
* ::cudaErrorInvalidDevice,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidSymbol,
* ::cudaErrorUnmapBufferObjectFailed,
* ::cudaErrorInvalidHostPointer,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidTexture,
* ::cudaErrorInvalidTextureBinding,
* ::cudaErrorInvalidChannelDescriptor,
* ::cudaErrorInvalidMemcpyDirection,
* ::cudaErrorInvalidFilterSetting,
* ::cudaErrorInvalidNormSetting,
* ::cudaErrorUnknown,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorInsufficientDriver,
* ::cudaErrorSetOnActiveProcess,
* ::cudaErrorStartupFailure,
* \notefnerr
*
* \sa ::cudaPeekAtLastError, ::cudaGetErrorName, ::cudaGetErrorString, ::cudaError
*/
public static native @Cast("cudaError_t") int cudaGetLastError();
/**
* \brief Returns the last error from a runtime call
*
* Returns the last error that has been produced by any of the runtime calls
* in the same host thread. Note that this call does not reset the error to
* ::cudaSuccess like ::cudaGetLastError().
*
* @return
* ::cudaSuccess,
* ::cudaErrorMissingConfiguration,
* ::cudaErrorMemoryAllocation,
* ::cudaErrorInitializationError,
* ::cudaErrorLaunchFailure,
* ::cudaErrorLaunchTimeout,
* ::cudaErrorLaunchOutOfResources,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidConfiguration,
* ::cudaErrorInvalidDevice,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidSymbol,
* ::cudaErrorUnmapBufferObjectFailed,
* ::cudaErrorInvalidHostPointer,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidTexture,
* ::cudaErrorInvalidTextureBinding,
* ::cudaErrorInvalidChannelDescriptor,
* ::cudaErrorInvalidMemcpyDirection,
* ::cudaErrorInvalidFilterSetting,
* ::cudaErrorInvalidNormSetting,
* ::cudaErrorUnknown,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorInsufficientDriver,
* ::cudaErrorSetOnActiveProcess,
* ::cudaErrorStartupFailure,
* \notefnerr
*
* \sa ::cudaGetLastError, ::cudaGetErrorName, ::cudaGetErrorString, ::cudaError
*/
public static native @Cast("cudaError_t") int cudaPeekAtLastError();
/**
* \brief Returns the string representation of an error code enum name
*
* Returns a string containing the name of an error code in the enum. If the error
* code is not recognized, "unrecognized error code" is returned.
*
* @param error - Error code to convert to string
*
* @return
* \p char* pointer to a NULL-terminated string
*
* \sa ::cudaGetErrorString, ::cudaGetLastError, ::cudaPeekAtLastError, ::cudaError
*/
public static native @Cast("const char*") BytePointer cudaGetErrorName(@Cast("cudaError_t") int error);
/**
* \brief Returns the description string for an error code
*
* Returns the description string for an error code. If the error
* code is not recognized, "unrecognized error code" is returned.
*
* @param error - Error code to convert to string
*
* @return
* \p char* pointer to a NULL-terminated string
*
* \sa ::cudaGetErrorName, ::cudaGetLastError, ::cudaPeekAtLastError, ::cudaError
*/
public static native @Cast("const char*") BytePointer cudaGetErrorString(@Cast("cudaError_t") int error);
/** \} */ /* END CUDART_ERROR */
/**
* \addtogroup CUDART_DEVICE
*
* \{
*/
/**
* \brief Returns the number of compute-capable devices
*
* Returns in \p *count the number of devices with compute capability greater
* or equal to 2.0 that are available for execution. If there is no such
* device then ::cudaGetDeviceCount() will return ::cudaErrorNoDevice.
* If no driver can be loaded to determine if any such devices exist then
* ::cudaGetDeviceCount() will return ::cudaErrorInsufficientDriver.
*
* @param count - Returns the number of devices with compute capability
* greater or equal to 2.0
*
* @return
* ::cudaSuccess,
* ::cudaErrorNoDevice,
* ::cudaErrorInsufficientDriver
* \notefnerr
*
* \sa ::cudaGetDevice, ::cudaSetDevice, ::cudaGetDeviceProperties,
* ::cudaChooseDevice
*/
public static native @Cast("cudaError_t") int cudaGetDeviceCount(IntPointer count);
public static native @Cast("cudaError_t") int cudaGetDeviceCount(IntBuffer count);
public static native @Cast("cudaError_t") int cudaGetDeviceCount(int[] count);
/**
* \brief Returns information about the compute-device
*
* Returns in \p *prop the properties of device \p dev. The ::cudaDeviceProp
* structure is defined as:
*
{@code
struct cudaDeviceProp {
char name[256];
size_t totalGlobalMem;
size_t sharedMemPerBlock;
int regsPerBlock;
int warpSize;
size_t memPitch;
int maxThreadsPerBlock;
int maxThreadsDim[3];
int maxGridSize[3];
int clockRate;
size_t totalConstMem;
int major;
int minor;
size_t textureAlignment;
size_t texturePitchAlignment;
int deviceOverlap;
int multiProcessorCount;
int kernelExecTimeoutEnabled;
int integrated;
int canMapHostMemory;
int computeMode;
int maxTexture1D;
int maxTexture1DMipmap;
int maxTexture1DLinear;
int maxTexture2D[2];
int maxTexture2DMipmap[2];
int maxTexture2DLinear[3];
int maxTexture2DGather[2];
int maxTexture3D[3];
int maxTexture3DAlt[3];
int maxTextureCubemap;
int maxTexture1DLayered[2];
int maxTexture2DLayered[3];
int maxTextureCubemapLayered[2];
int maxSurface1D;
int maxSurface2D[2];
int maxSurface3D[3];
int maxSurface1DLayered[2];
int maxSurface2DLayered[3];
int maxSurfaceCubemap;
int maxSurfaceCubemapLayered[2];
size_t surfaceAlignment;
int concurrentKernels;
int ECCEnabled;
int pciBusID;
int pciDeviceID;
int pciDomainID;
int tccDriver;
int asyncEngineCount;
int unifiedAddressing;
int memoryClockRate;
int memoryBusWidth;
int l2CacheSize;
int maxThreadsPerMultiProcessor;
int streamPrioritiesSupported;
int globalL1CacheSupported;
int localL1CacheSupported;
size_t sharedMemPerMultiprocessor;
int regsPerMultiprocessor;
int managedMemSupported;
int isMultiGpuBoard;
int multiGpuBoardGroupID;
}
}
* where:
* - \ref ::cudaDeviceProp::name "name[256]" is an ASCII string identifying
* the device;
* - \ref ::cudaDeviceProp::totalGlobalMem "totalGlobalMem" is the total
* amount of global memory available on the device in bytes;
* - \ref ::cudaDeviceProp::sharedMemPerBlock "sharedMemPerBlock" is the
* maximum amount of shared memory available to a thread block in bytes;
* - \ref ::cudaDeviceProp::regsPerBlock "regsPerBlock" is the maximum number
* of 32-bit registers available to a thread block;
* - \ref ::cudaDeviceProp::warpSize "warpSize" is the warp size in threads;
* - \ref ::cudaDeviceProp::memPitch "memPitch" is the maximum pitch in
* bytes allowed by the memory copy functions that involve memory regions
* allocated through ::cudaMallocPitch();
* - \ref ::cudaDeviceProp::maxThreadsPerBlock "maxThreadsPerBlock" is the
* maximum number of threads per block;
* - \ref ::cudaDeviceProp::maxThreadsDim "maxThreadsDim[3]" contains the
* maximum size of each dimension of a block;
* - \ref ::cudaDeviceProp::maxGridSize "maxGridSize[3]" contains the
* maximum size of each dimension of a grid;
* - \ref ::cudaDeviceProp::clockRate "clockRate" is the clock frequency in
* kilohertz;
* - \ref ::cudaDeviceProp::totalConstMem "totalConstMem" is the total amount
* of constant memory available on the device in bytes;
* - \ref ::cudaDeviceProp::major "major",
* \ref ::cudaDeviceProp::minor "minor" are the major and minor revision
* numbers defining the device's compute capability;
* - \ref ::cudaDeviceProp::textureAlignment "textureAlignment" is the
* alignment requirement; texture base addresses that are aligned to
* \ref ::cudaDeviceProp::textureAlignment "textureAlignment" bytes do not
* need an offset applied to texture fetches;
* - \ref ::cudaDeviceProp::texturePitchAlignment "texturePitchAlignment" is the
* pitch alignment requirement for 2D texture references that are bound to
* pitched memory;
* - \ref ::cudaDeviceProp::deviceOverlap "deviceOverlap" is 1 if the device
* can concurrently copy memory between host and device while executing a
* kernel, or 0 if not. Deprecated, use instead asyncEngineCount.
* - \ref ::cudaDeviceProp::multiProcessorCount "multiProcessorCount" is the
* number of multiprocessors on the device;
* - \ref ::cudaDeviceProp::kernelExecTimeoutEnabled "kernelExecTimeoutEnabled"
* is 1 if there is a run time limit for kernels executed on the device, or
* 0 if not.
* - \ref ::cudaDeviceProp::integrated "integrated" is 1 if the device is an
* integrated (motherboard) GPU and 0 if it is a discrete (card) component.
* - \ref ::cudaDeviceProp::canMapHostMemory "canMapHostMemory" is 1 if the
* device can map host memory into the CUDA address space for use with
* ::cudaHostAlloc()/::cudaHostGetDevicePointer(), or 0 if not;
* - \ref ::cudaDeviceProp::computeMode "computeMode" is the compute mode
* that the device is currently in. Available modes are as follows:
* - cudaComputeModeDefault: Default mode - Device is not restricted and
* multiple threads can use ::cudaSetDevice() with this device.
* - cudaComputeModeExclusive: Compute-exclusive mode - Only one thread will
* be able to use ::cudaSetDevice() with this device.
* - cudaComputeModeProhibited: Compute-prohibited mode - No threads can use
* ::cudaSetDevice() with this device.
* - cudaComputeModeExclusiveProcess: Compute-exclusive-process mode - Many
* threads in one process will be able to use ::cudaSetDevice() with this device.
*
If ::cudaSetDevice() is called on an already occupied \p device with
* computeMode ::cudaComputeModeExclusive, ::cudaErrorDeviceAlreadyInUse
* will be immediately returned indicating the device cannot be used.
* When an occupied exclusive mode device is chosen with ::cudaSetDevice,
* all subsequent non-device management runtime functions will return
* ::cudaErrorDevicesUnavailable.
* - \ref ::cudaDeviceProp::maxTexture1D "maxTexture1D" is the maximum 1D
* texture size.
* - \ref ::cudaDeviceProp::maxTexture1DMipmap "maxTexture1DMipmap" is the maximum
* 1D mipmapped texture texture size.
* - \ref ::cudaDeviceProp::maxTexture1DLinear "maxTexture1DLinear" is the maximum
* 1D texture size for textures bound to linear memory.
* - \ref ::cudaDeviceProp::maxTexture2D "maxTexture2D[2]" contains the maximum
* 2D texture dimensions.
* - \ref ::cudaDeviceProp::maxTexture2DMipmap "maxTexture2DMipmap[2]" contains the
* maximum 2D mipmapped texture dimensions.
* - \ref ::cudaDeviceProp::maxTexture2DLinear "maxTexture2DLinear[3]" contains the
* maximum 2D texture dimensions for 2D textures bound to pitch linear memory.
* - \ref ::cudaDeviceProp::maxTexture2DGather "maxTexture2DGather[2]" contains the
* maximum 2D texture dimensions if texture gather operations have to be performed.
* - \ref ::cudaDeviceProp::maxTexture3D "maxTexture3D[3]" contains the maximum
* 3D texture dimensions.
* - \ref ::cudaDeviceProp::maxTexture3DAlt "maxTexture3DAlt[3]"
* contains the maximum alternate 3D texture dimensions.
* - \ref ::cudaDeviceProp::maxTextureCubemap "maxTextureCubemap" is the
* maximum cubemap texture width or height.
* - \ref ::cudaDeviceProp::maxTexture1DLayered "maxTexture1DLayered[2]" contains
* the maximum 1D layered texture dimensions.
* - \ref ::cudaDeviceProp::maxTexture2DLayered "maxTexture2DLayered[3]" contains
* the maximum 2D layered texture dimensions.
* - \ref ::cudaDeviceProp::maxTextureCubemapLayered "maxTextureCubemapLayered[2]"
* contains the maximum cubemap layered texture dimensions.
* - \ref ::cudaDeviceProp::maxSurface1D "maxSurface1D" is the maximum 1D
* surface size.
* - \ref ::cudaDeviceProp::maxSurface2D "maxSurface2D[2]" contains the maximum
* 2D surface dimensions.
* - \ref ::cudaDeviceProp::maxSurface3D "maxSurface3D[3]" contains the maximum
* 3D surface dimensions.
* - \ref ::cudaDeviceProp::maxSurface1DLayered "maxSurface1DLayered[2]" contains
* the maximum 1D layered surface dimensions.
* - \ref ::cudaDeviceProp::maxSurface2DLayered "maxSurface2DLayered[3]" contains
* the maximum 2D layered surface dimensions.
* - \ref ::cudaDeviceProp::maxSurfaceCubemap "maxSurfaceCubemap" is the maximum
* cubemap surface width or height.
* - \ref ::cudaDeviceProp::maxSurfaceCubemapLayered "maxSurfaceCubemapLayered[2]"
* contains the maximum cubemap layered surface dimensions.
* - \ref ::cudaDeviceProp::surfaceAlignment "surfaceAlignment" specifies the
* alignment requirements for surfaces.
* - \ref ::cudaDeviceProp::concurrentKernels "concurrentKernels" is 1 if the
* device supports executing multiple kernels within the same context
* simultaneously, or 0 if not. It is not guaranteed that multiple kernels
* will be resident on the device concurrently so this feature should not be
* relied upon for correctness;
* - \ref ::cudaDeviceProp::ECCEnabled "ECCEnabled" is 1 if the device has ECC
* support turned on, or 0 if not.
* - \ref ::cudaDeviceProp::pciBusID "pciBusID" is the PCI bus identifier of
* the device.
* - \ref ::cudaDeviceProp::pciDeviceID "pciDeviceID" is the PCI device
* (sometimes called slot) identifier of the device.
* - \ref ::cudaDeviceProp::pciDomainID "pciDomainID" is the PCI domain identifier
* of the device.
* - \ref ::cudaDeviceProp::tccDriver "tccDriver" is 1 if the device is using a
* TCC driver or 0 if not.
* - \ref ::cudaDeviceProp::asyncEngineCount "asyncEngineCount" is 1 when the
* device can concurrently copy memory between host and device while executing
* a kernel. It is 2 when the device can concurrently copy memory between host
* and device in both directions and execute a kernel at the same time. It is
* 0 if neither of these is supported.
* - \ref ::cudaDeviceProp::unifiedAddressing "unifiedAddressing" is 1 if the device
* shares a unified address space with the host and 0 otherwise.
* - \ref ::cudaDeviceProp::memoryClockRate "memoryClockRate" is the peak memory
* clock frequency in kilohertz.
* - \ref ::cudaDeviceProp::memoryBusWidth "memoryBusWidth" is the memory bus width
* in bits.
* - \ref ::cudaDeviceProp::l2CacheSize "l2CacheSize" is L2 cache size in bytes.
* - \ref ::cudaDeviceProp::maxThreadsPerMultiProcessor "maxThreadsPerMultiProcessor"
* is the number of maximum resident threads per multiprocessor.
* - \ref ::cudaDeviceProp::streamPrioritiesSupported "streamPrioritiesSupported"
* is 1 if the device supports stream priorities, or 0 if it is not supported.
* - \ref ::cudaDeviceProp::globalL1CacheSupported "globalL1CacheSupported"
* is 1 if the device supports caching of globals in L1 cache, or 0 if it is not supported.
* - \ref ::cudaDeviceProp::localL1CacheSupported "localL1CacheSupported"
* is 1 if the device supports caching of locals in L1 cache, or 0 if it is not supported.
* - \ref ::cudaDeviceProp::sharedMemPerMultiprocessor "sharedMemPerMultiprocessor" is the
* maximum amount of shared memory available to a multiprocessor in bytes; this amount is
* shared by all thread blocks simultaneously resident on a multiprocessor;
* - \ref ::cudaDeviceProp::regsPerMultiprocessor "regsPerMultiprocessor" is the maximum number
* of 32-bit registers available to a multiprocessor; this number is shared
* by all thread blocks simultaneously resident on a multiprocessor;
* - \ref ::cudaDeviceProp::managedMemory "managedMemory"
* is 1 if the device supports allocating managed memory on this system, or 0 if it is not supported.
* - \ref ::cudaDeviceProp::isMultiGpuBoard "isMultiGpuBoard"
* is 1 if the device is on a multi-GPU board (e.g. Gemini cards), and 0 if not;
* - \ref ::cudaDeviceProp::multiGpuBoardGroupID "multiGpuBoardGroupID" is a unique identifier
* for a group of devices associated with the same board.
* Devices on the same multi-GPU board will share the same identifier;
*
* @param prop - Properties for the specified device
* @param device - Device number to get properties for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice
*
* \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice, ::cudaChooseDevice,
* ::cudaDeviceGetAttribute
*/
public static native @Cast("cudaError_t") int cudaGetDeviceProperties(cudaDeviceProp prop, int device);
/**
* \brief Returns information about the device
*
* Returns in \p *value the integer value of the attribute \p attr on device
* \p device. The supported attributes are:
* - ::cudaDevAttrMaxThreadsPerBlock: Maximum number of threads per block;
* - ::cudaDevAttrMaxBlockDimX: Maximum x-dimension of a block;
* - ::cudaDevAttrMaxBlockDimY: Maximum y-dimension of a block;
* - ::cudaDevAttrMaxBlockDimZ: Maximum z-dimension of a block;
* - ::cudaDevAttrMaxGridDimX: Maximum x-dimension of a grid;
* - ::cudaDevAttrMaxGridDimY: Maximum y-dimension of a grid;
* - ::cudaDevAttrMaxGridDimZ: Maximum z-dimension of a grid;
* - ::cudaDevAttrMaxSharedMemoryPerBlock: Maximum amount of shared memory
* available to a thread block in bytes;
* - ::cudaDevAttrTotalConstantMemory: Memory available on device for
* __constant__ variables in a CUDA C kernel in bytes;
* - ::cudaDevAttrWarpSize: Warp size in threads;
* - ::cudaDevAttrMaxPitch: Maximum pitch in bytes allowed by the memory copy
* functions that involve memory regions allocated through ::cudaMallocPitch();
* - ::cudaDevAttrMaxTexture1DWidth: Maximum 1D texture width;
* - ::cudaDevAttrMaxTexture1DLinearWidth: Maximum width for a 1D texture bound
* to linear memory;
* - ::cudaDevAttrMaxTexture1DMipmappedWidth: Maximum mipmapped 1D texture width;
* - ::cudaDevAttrMaxTexture2DWidth: Maximum 2D texture width;
* - ::cudaDevAttrMaxTexture2DHeight: Maximum 2D texture height;
* - ::cudaDevAttrMaxTexture2DLinearWidth: Maximum width for a 2D texture
* bound to linear memory;
* - ::cudaDevAttrMaxTexture2DLinearHeight: Maximum height for a 2D texture
* bound to linear memory;
* - ::cudaDevAttrMaxTexture2DLinearPitch: Maximum pitch in bytes for a 2D
* texture bound to linear memory;
* - ::cudaDevAttrMaxTexture2DMipmappedWidth: Maximum mipmapped 2D texture
* width;
* - ::cudaDevAttrMaxTexture2DMipmappedHeight: Maximum mipmapped 2D texture
* height;
* - ::cudaDevAttrMaxTexture3DWidth: Maximum 3D texture width;
* - ::cudaDevAttrMaxTexture3DHeight: Maximum 3D texture height;
* - ::cudaDevAttrMaxTexture3DDepth: Maximum 3D texture depth;
* - ::cudaDevAttrMaxTexture3DWidthAlt: Alternate maximum 3D texture width,
* 0 if no alternate maximum 3D texture size is supported;
* - ::cudaDevAttrMaxTexture3DHeightAlt: Alternate maximum 3D texture height,
* 0 if no alternate maximum 3D texture size is supported;
* - ::cudaDevAttrMaxTexture3DDepthAlt: Alternate maximum 3D texture depth,
* 0 if no alternate maximum 3D texture size is supported;
* - ::cudaDevAttrMaxTextureCubemapWidth: Maximum cubemap texture width or
* height;
* - ::cudaDevAttrMaxTexture1DLayeredWidth: Maximum 1D layered texture width;
* - ::cudaDevAttrMaxTexture1DLayeredLayers: Maximum layers in a 1D layered
* texture;
* - ::cudaDevAttrMaxTexture2DLayeredWidth: Maximum 2D layered texture width;
* - ::cudaDevAttrMaxTexture2DLayeredHeight: Maximum 2D layered texture height;
* - ::cudaDevAttrMaxTexture2DLayeredLayers: Maximum layers in a 2D layered
* texture;
* - ::cudaDevAttrMaxTextureCubemapLayeredWidth: Maximum cubemap layered
* texture width or height;
* - ::cudaDevAttrMaxTextureCubemapLayeredLayers: Maximum layers in a cubemap
* layered texture;
* - ::cudaDevAttrMaxSurface1DWidth: Maximum 1D surface width;
* - ::cudaDevAttrMaxSurface2DWidth: Maximum 2D surface width;
* - ::cudaDevAttrMaxSurface2DHeight: Maximum 2D surface height;
* - ::cudaDevAttrMaxSurface3DWidth: Maximum 3D surface width;
* - ::cudaDevAttrMaxSurface3DHeight: Maximum 3D surface height;
* - ::cudaDevAttrMaxSurface3DDepth: Maximum 3D surface depth;
* - ::cudaDevAttrMaxSurface1DLayeredWidth: Maximum 1D layered surface width;
* - ::cudaDevAttrMaxSurface1DLayeredLayers: Maximum layers in a 1D layered
* surface;
* - ::cudaDevAttrMaxSurface2DLayeredWidth: Maximum 2D layered surface width;
* - ::cudaDevAttrMaxSurface2DLayeredHeight: Maximum 2D layered surface height;
* - ::cudaDevAttrMaxSurface2DLayeredLayers: Maximum layers in a 2D layered
* surface;
* - ::cudaDevAttrMaxSurfaceCubemapWidth: Maximum cubemap surface width;
* - ::cudaDevAttrMaxSurfaceCubemapLayeredWidth: Maximum cubemap layered
* surface width;
* - ::cudaDevAttrMaxSurfaceCubemapLayeredLayers: Maximum layers in a cubemap
* layered surface;
* - ::cudaDevAttrMaxRegistersPerBlock: Maximum number of 32-bit registers
* available to a thread block;
* - ::cudaDevAttrClockRate: Peak clock frequency in kilohertz;
* - ::cudaDevAttrTextureAlignment: Alignment requirement; texture base
* addresses aligned to ::textureAlign bytes do not need an offset applied
* to texture fetches;
* - ::cudaDevAttrTexturePitchAlignment: Pitch alignment requirement for 2D
* texture references bound to pitched memory;
* - ::cudaDevAttrGpuOverlap: 1 if the device can concurrently copy memory
* between host and device while executing a kernel, or 0 if not;
* - ::cudaDevAttrMultiProcessorCount: Number of multiprocessors on the device;
* - ::cudaDevAttrKernelExecTimeout: 1 if there is a run time limit for kernels
* executed on the device, or 0 if not;
* - ::cudaDevAttrIntegrated: 1 if the device is integrated with the memory
* subsystem, or 0 if not;
* - ::cudaDevAttrCanMapHostMemory: 1 if the device can map host memory into
* the CUDA address space, or 0 if not;
* - ::cudaDevAttrComputeMode: Compute mode is the compute mode that the device
* is currently in. Available modes are as follows:
* - ::cudaComputeModeDefault: Default mode - Device is not restricted and
* multiple threads can use ::cudaSetDevice() with this device.
* - ::cudaComputeModeExclusive: Compute-exclusive mode - Only one thread will
* be able to use ::cudaSetDevice() with this device.
* - ::cudaComputeModeProhibited: Compute-prohibited mode - No threads can use
* ::cudaSetDevice() with this device.
* - ::cudaComputeModeExclusiveProcess: Compute-exclusive-process mode - Many
* threads in one process will be able to use ::cudaSetDevice() with this
* device.
* - ::cudaDevAttrConcurrentKernels: 1 if the device supports executing
* multiple kernels within the same context simultaneously, or 0 if
* not. It is not guaranteed that multiple kernels will be resident on the
* device concurrently so this feature should not be relied upon for
* correctness;
* - ::cudaDevAttrEccEnabled: 1 if error correction is enabled on the device,
* 0 if error correction is disabled or not supported by the device;
* - ::cudaDevAttrPciBusId: PCI bus identifier of the device;
* - ::cudaDevAttrPciDeviceId: PCI device (also known as slot) identifier of
* the device;
* - ::cudaDevAttrTccDriver: 1 if the device is using a TCC driver. TCC is only
* available on Tesla hardware running Windows Vista or later;
* - ::cudaDevAttrMemoryClockRate: Peak memory clock frequency in kilohertz;
* - ::cudaDevAttrGlobalMemoryBusWidth: Global memory bus width in bits;
* - ::cudaDevAttrL2CacheSize: Size of L2 cache in bytes. 0 if the device
* doesn't have L2 cache;
* - ::cudaDevAttrMaxThreadsPerMultiProcessor: Maximum resident threads per
* multiprocessor;
* - ::cudaDevAttrUnifiedAddressing: 1 if the device shares a unified address
* space with the host, or 0 if not;
* - ::cudaDevAttrComputeCapabilityMajor: Major compute capability version
* number;
* - ::cudaDevAttrComputeCapabilityMinor: Minor compute capability version
* number;
* - ::cudaDevAttrStreamPrioritiesSupported: 1 if the device supports stream
* priorities, or 0 if not;
* - ::cudaDevAttrGlobalL1CacheSupported: 1 if device supports caching globals
* in L1 cache, 0 if not;
* - ::cudaDevAttrGlobalL1CacheSupported: 1 if device supports caching locals
* in L1 cache, 0 if not;
* - ::cudaDevAttrMaxSharedMemoryPerMultiprocessor: Maximum amount of shared memory
* available to a multiprocessor in bytes; this amount is shared by all
* thread blocks simultaneously resident on a multiprocessor;
* - ::cudaDevAttrMaxRegistersPerMultiprocessor: Maximum number of 32-bit registers
* available to a multiprocessor; this number is shared by all thread blocks
* simultaneously resident on a multiprocessor;
* - ::cudaDevAttrManagedMemSupported: 1 if device supports allocating
* managed memory, 0 if not;
* - ::cudaDevAttrIsMultiGpuBoard: 1 if device is on a multi-GPU board, 0 if not;
* - ::cudaDevAttrMultiGpuBoardGroupID: Unique identifier for a group of devices on the
* same multi-GPU board;
*
* @param value - Returned device attribute value
* @param attr - Device attribute to query
* @param device - Device number to query
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice, ::cudaChooseDevice,
* ::cudaGetDeviceProperties
*/
public static native @Cast("cudaError_t") int cudaDeviceGetAttribute(IntPointer value, @Cast("cudaDeviceAttr") int attr, int device);
public static native @Cast("cudaError_t") int cudaDeviceGetAttribute(IntBuffer value, @Cast("cudaDeviceAttr") int attr, int device);
public static native @Cast("cudaError_t") int cudaDeviceGetAttribute(int[] value, @Cast("cudaDeviceAttr") int attr, int device);
/**
* \brief Select compute-device which best matches criteria
*
* Returns in \p *device the device which has properties that best match
* \p *prop.
*
* @param device - Device with best match
* @param prop - Desired device properties
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice,
* ::cudaGetDeviceProperties
*/
public static native @Cast("cudaError_t") int cudaChooseDevice(IntPointer device, @Const cudaDeviceProp prop);
public static native @Cast("cudaError_t") int cudaChooseDevice(IntBuffer device, @Const cudaDeviceProp prop);
public static native @Cast("cudaError_t") int cudaChooseDevice(int[] device, @Const cudaDeviceProp prop);
/**
* \brief Set device to be used for GPU executions
*
* Sets \p device as the current device for the calling host thread.
* Valid device id's are 0 to (::cudaGetDeviceCount() - 1).
*
* Any device memory subsequently allocated from this host thread
* using ::cudaMalloc(), ::cudaMallocPitch() or ::cudaMallocArray()
* will be physically resident on \p device. Any host memory allocated
* from this host thread using ::cudaMallocHost() or ::cudaHostAlloc()
* or ::cudaHostRegister() will have its lifetime associated with
* \p device. Any streams or events created from this host thread will
* be associated with \p device. Any kernels launched from this host
* thread using the <<<>>> operator or ::cudaLaunchKernel() will be executed
* on \p device.
*
* This call may be made from any host thread, to any device, and at
* any time. This function will do no synchronization with the previous
* or new device, and should be considered a very low overhead call.
*
* @param device - Device on which the active host thread should execute the
* device code.
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice,
* ::cudaErrorDeviceAlreadyInUse
* \notefnerr
*
* \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaGetDeviceProperties,
* ::cudaChooseDevice
*/
public static native @Cast("cudaError_t") int cudaSetDevice(int device);
/**
* \brief Returns which device is currently being used
*
* Returns in \p *device the current device for the calling host thread.
*
* @param device - Returns the device on which the active host thread
* executes the device code.
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \sa ::cudaGetDeviceCount, ::cudaSetDevice, ::cudaGetDeviceProperties,
* ::cudaChooseDevice
*/
public static native @Cast("cudaError_t") int cudaGetDevice(IntPointer device);
public static native @Cast("cudaError_t") int cudaGetDevice(IntBuffer device);
public static native @Cast("cudaError_t") int cudaGetDevice(int[] device);
/**
* \brief Set a list of devices that can be used for CUDA
*
* Sets a list of devices for CUDA execution in priority order using
* \p device_arr. The parameter \p len specifies the number of elements in the
* list. CUDA will try devices from the list sequentially until it finds one
* that works. If this function is not called, or if it is called with a \p len
* of 0, then CUDA will go back to its default behavior of trying devices
* sequentially from a default list containing all of the available CUDA
* devices in the system. If a specified device ID in the list does not exist,
* this function will return ::cudaErrorInvalidDevice. If \p len is not 0 and
* \p device_arr is NULL or if \p len exceeds the number of devices in
* the system, then ::cudaErrorInvalidValue is returned.
*
* @param device_arr - List of devices to try
* @param len - Number of devices in specified list
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
*
* \sa ::cudaGetDeviceCount, ::cudaSetDevice, ::cudaGetDeviceProperties,
* ::cudaSetDeviceFlags,
* ::cudaChooseDevice
*/
public static native @Cast("cudaError_t") int cudaSetValidDevices(IntPointer device_arr, int len);
public static native @Cast("cudaError_t") int cudaSetValidDevices(IntBuffer device_arr, int len);
public static native @Cast("cudaError_t") int cudaSetValidDevices(int[] device_arr, int len);
/**
* \brief Sets flags to be used for device executions
*
* Records \p flags as the flags to use when initializing the current
* device. If no device has been made current to the calling thread,
* then \p flags will be applied to the initialization of any device
* initialized by the calling host thread, unless that device has had
* its initialization flags set explicitly by this or any host thread.
*
* If the current device has been set and that device has already been
* initialized then this call will fail with the error
* ::cudaErrorSetOnActiveProcess. In this case it is necessary
* to reset \p device using ::cudaDeviceReset() before the device's
* initialization flags may be set.
*
* The two LSBs of the \p flags parameter can be used to control how the CPU
* thread interacts with the OS scheduler when waiting for results from the
* device.
*
* - ::cudaDeviceScheduleAuto: The default value if the \p flags parameter is
* zero, uses a heuristic based on the number of active CUDA contexts in the
* process \p C and the number of logical processors in the system \p P. If
* \p C \> \p P, then CUDA will yield to other OS threads when waiting for the
* device, otherwise CUDA will not yield while waiting for results and
* actively spin on the processor.
* - ::cudaDeviceScheduleSpin: Instruct CUDA to actively spin when waiting for
* results from the device. This can decrease latency when waiting for the
* device, but may lower the performance of CPU threads if they are performing
* work in parallel with the CUDA thread.
* - ::cudaDeviceScheduleYield: Instruct CUDA to yield its thread when waiting
* for results from the device. This can increase latency when waiting for the
* device, but can increase the performance of CPU threads performing work in
* parallel with the device.
* - ::cudaDeviceScheduleBlockingSync: Instruct CUDA to block the CPU thread
* on a synchronization primitive when waiting for the device to finish work.
* - ::cudaDeviceBlockingSync: Instruct CUDA to block the CPU thread on a
* synchronization primitive when waiting for the device to finish work.
* \ref deprecated "Deprecated:" This flag was deprecated as of CUDA 4.0 and
* replaced with ::cudaDeviceScheduleBlockingSync.
* - ::cudaDeviceMapHost: This flag enables allocating pinned
* host memory that is accessible to the device. It is implicit for the
* runtime but may be absent if a context is created using the driver API.
* If this flag is not set, ::cudaHostGetDevicePointer() will always return
* a failure code.
* - ::cudaDeviceLmemResizeToMax: Instruct CUDA to not reduce local memory
* after resizing local memory for a kernel. This can prevent thrashing by
* local memory allocations when launching many kernels with high local
* memory usage at the cost of potentially increased memory usage.
*
* @param flags - Parameters for device operation
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice,
* ::cudaErrorSetOnActiveProcess
*
* \sa ::cudaGetDeviceFlags, ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaGetDeviceProperties,
* ::cudaSetDevice, ::cudaSetValidDevices,
* ::cudaChooseDevice
*/
public static native @Cast("cudaError_t") int cudaSetDeviceFlags( @Cast("unsigned int") int flags );
/**
* \brief Gets the flags for the current device
*
* Returns in \p flags the flags for the current device. If there is a
* current device for the calling thread, and the device has been initialized
* or flags have been set on that device specifically, the flags for the
* device are returned. If there is no current device, but flags have been
* set for the thread with ::cudaSetDeviceFlags, the thread flags are returned.
* Finally, if there is no current device and no thread flags, the flags for
* the first device are returned, which may be the default flags. Compare
* to the behavior of ::cudaSetDeviceFlags.
*
* Typically, the flags returned should match the behavior that will be seen
* if the calling thread uses a device after this call, without any change to
* the flags or current device inbetween by this or another thread. Note that
* if the device is not initialized, it is possible for another thread to
* change the flags for the current device before it is initialized.
* Additionally, when using exclusive mode, if this thread has not requested a
* specific device, it may use a device other than the first device, contrary
* to the assumption made by this function.
*
* If a context has been created via the driver API and is current to the
* calling thread, the flags for that context are always returned.
*
* Flags returned by this function may specifically include ::cudaDeviceMapHost
* even though it is not accepted by ::cudaSetDeviceFlags because it is
* implicit in runtime API flags. The reason for this is that the current
* context may have been created via the driver API in which case the flag is
* not implicit and may be unset.
*
* @param flags - Pointer to store the device flags
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice
*
* \sa ::cudaGetDevice, ::cudaGetDeviceProperties,
* ::cudaSetDevice, ::cudaSetDeviceFlags
*/
public static native @Cast("cudaError_t") int cudaGetDeviceFlags( @Cast("unsigned int*") IntPointer flags );
public static native @Cast("cudaError_t") int cudaGetDeviceFlags( @Cast("unsigned int*") IntBuffer flags );
public static native @Cast("cudaError_t") int cudaGetDeviceFlags( @Cast("unsigned int*") int[] flags );
/** \} */ /* END CUDART_DEVICE */
/**
* \defgroup CUDART_STREAM Stream Management
*
* ___MANBRIEF___ stream management functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the stream management functions of the CUDA runtime
* application programming interface.
*
* \{
*/
/**
* \brief Create an asynchronous stream
*
* Creates a new asynchronous stream.
*
* @param pStream - Pointer to new stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaStreamCreateWithPriority,
* ::cudaStreamCreateWithFlags,
* ::cudaStreamGetPriority,
* ::cudaStreamGetFlags,
* ::cudaStreamQuery,
* ::cudaStreamSynchronize,
* ::cudaStreamWaitEvent,
* ::cudaStreamAddCallback,
* ::cudaStreamDestroy
*/
public static native @Cast("cudaError_t") int cudaStreamCreate(@ByPtrPtr CUstream_st pStream);
/**
* \brief Create an asynchronous stream
*
* Creates a new asynchronous stream. The \p flags argument determines the
* behaviors of the stream. Valid values for \p flags are
* - ::cudaStreamDefault: Default stream creation flag.
* - ::cudaStreamNonBlocking: Specifies that work running in the created
* stream may run concurrently with work in stream 0 (the NULL stream), and that
* the created stream should perform no implicit synchronization with stream 0.
*
* @param pStream - Pointer to new stream identifier
* @param flags - Parameters for stream creation
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaStreamCreate,
* ::cudaStreamCreateWithPriority,
* ::cudaStreamGetFlags,
* ::cudaStreamQuery,
* ::cudaStreamSynchronize,
* ::cudaStreamWaitEvent,
* ::cudaStreamAddCallback,
* ::cudaStreamDestroy
*/
public static native @Cast("cudaError_t") int cudaStreamCreateWithFlags(@ByPtrPtr CUstream_st pStream, @Cast("unsigned int") int flags);
/**
* \brief Create an asynchronous stream with the specified priority
*
* Creates a stream with the specified priority and returns a handle in \p pStream.
* This API alters the scheduler priority of work in the stream. Work in a higher
* priority stream may preempt work already executing in a low priority stream.
*
* \p priority follows a convention where lower numbers represent higher priorities.
* '0' represents default priority. The range of meaningful numerical priorities can
* be queried using ::cudaDeviceGetStreamPriorityRange. If the specified priority is
* outside the numerical range returned by ::cudaDeviceGetStreamPriorityRange,
* it will automatically be clamped to the lowest or the highest number in the range.
*
* @param pStream - Pointer to new stream identifier
* @param flags - Flags for stream creation. See ::cudaStreamCreateWithFlags for a list of valid flags that can be passed
* @param priority - Priority of the stream. Lower numbers represent higher priorities.
* See ::cudaDeviceGetStreamPriorityRange for more information about
* the meaningful stream priorities that can be passed.
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \note Stream priorities are supported only on GPUs
* with compute capability 3.5 or higher.
*
* \note In the current implementation, only compute kernels launched in
* priority streams are affected by the stream's priority. Stream priorities have
* no effect on host-to-device and device-to-host memory operations.
*
* \sa ::cudaStreamCreate,
* ::cudaStreamCreateWithFlags,
* ::cudaDeviceGetStreamPriorityRange,
* ::cudaStreamGetPriority,
* ::cudaStreamQuery,
* ::cudaStreamWaitEvent,
* ::cudaStreamAddCallback,
* ::cudaStreamSynchronize,
* ::cudaStreamDestroy
*/
public static native @Cast("cudaError_t") int cudaStreamCreateWithPriority(@ByPtrPtr CUstream_st pStream, @Cast("unsigned int") int flags, int priority);
/**
* \brief Query the priority of a stream
*
* Query the priority of a stream. The priority is returned in in \p priority.
* Note that if the stream was created with a priority outside the meaningful
* numerical range returned by ::cudaDeviceGetStreamPriorityRange,
* this function returns the clamped priority.
* See ::cudaStreamCreateWithPriority for details about priority clamping.
*
* @param hStream - Handle to the stream to be queried
* @param priority - Pointer to a signed integer in which the stream's priority is returned
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle
* \notefnerr
*
* \sa ::cudaStreamCreateWithPriority,
* ::cudaDeviceGetStreamPriorityRange,
* ::cudaStreamGetFlags
*/
public static native @Cast("cudaError_t") int cudaStreamGetPriority(CUstream_st hStream, IntPointer priority);
public static native @Cast("cudaError_t") int cudaStreamGetPriority(CUstream_st hStream, IntBuffer priority);
public static native @Cast("cudaError_t") int cudaStreamGetPriority(CUstream_st hStream, int[] priority);
/**
* \brief Query the flags of a stream
*
* Query the flags of a stream. The flags are returned in \p flags.
* See ::cudaStreamCreateWithFlags for a list of valid flags.
*
* @param hStream - Handle to the stream to be queried
* @param flags - Pointer to an unsigned integer in which the stream's flags are returned
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle
* \notefnerr
*
* \sa ::cudaStreamCreateWithPriority,
* ::cudaStreamCreateWithFlags,
* ::cudaStreamGetPriority
*/
public static native @Cast("cudaError_t") int cudaStreamGetFlags(CUstream_st hStream, @Cast("unsigned int*") IntPointer flags);
public static native @Cast("cudaError_t") int cudaStreamGetFlags(CUstream_st hStream, @Cast("unsigned int*") IntBuffer flags);
public static native @Cast("cudaError_t") int cudaStreamGetFlags(CUstream_st hStream, @Cast("unsigned int*") int[] flags);
/**
* \brief Destroys and cleans up an asynchronous stream
*
* Destroys and cleans up the asynchronous stream specified by \p stream.
*
* In case the device is still doing work in the stream \p stream
* when ::cudaStreamDestroy() is called, the function will return immediately
* and the resources associated with \p stream will be released automatically
* once the device has completed all work in \p stream.
*
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle
* \notefnerr
*
* \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamWaitEvent, ::cudaStreamSynchronize, ::cudaStreamAddCallback
*/
public static native @Cast("cudaError_t") int cudaStreamDestroy(CUstream_st stream);
/**
* \brief Make a compute stream wait on an event
*
* Makes all future work submitted to \p stream wait until \p event reports
* completion before beginning execution. This synchronization will be
* performed efficiently on the device. The event \p event may
* be from a different context than \p stream, in which case this function
* will perform cross-device synchronization.
*
* The stream \p stream will wait only for the completion of the most recent
* host call to ::cudaEventRecord() on \p event. Once this call has returned,
* any functions (including ::cudaEventRecord() and ::cudaEventDestroy()) may be
* called on \p event again, and the subsequent calls will not have any effect
* on \p stream.
*
* If ::cudaEventRecord() has not been called on \p event, this call acts as if
* the record has already completed, and so is a functional no-op.
*
* @param stream - Stream to wait
* @param event - Event to wait on
* @param flags - Parameters for the operation (must be 0)
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle
* \note_null_stream
* \notefnerr
*
* \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamSynchronize, ::cudaStreamAddCallback, ::cudaStreamDestroy
*/
public static native @Cast("cudaError_t") int cudaStreamWaitEvent(CUstream_st stream, CUevent_st event, @Cast("unsigned int") int flags);
// #ifdef _WIN32
// #define CUDART_CB __stdcall
// #else
// #define CUDART_CB
// #endif
/**
* Type of stream callback functions.
* @param stream The stream as passed to ::cudaStreamAddCallback, may be NULL.
* @param status ::cudaSuccess or any persistent error on the stream.
* @param userData User parameter provided at registration.
*/
@Convention("CUDART_CB") public static class cudaStreamCallback_t extends FunctionPointer {
static { Loader.load(); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cudaStreamCallback_t(Pointer p) { super(p); }
protected cudaStreamCallback_t() { allocate(); }
private native void allocate();
public native void call(CUstream_st stream, @Cast("cudaError_t") int status, Pointer userData);
}
/**
* \brief Add a callback to a compute stream
*
* Adds a callback to be called on the host after all currently enqueued
* items in the stream have completed. For each
* cudaStreamAddCallback call, a callback will be executed exactly once.
* The callback will block later work in the stream until it is finished.
*
* The callback may be passed ::cudaSuccess or an error code. In the event
* of a device error, all subsequently executed callbacks will receive an
* appropriate ::cudaError_t.
*
* Callbacks must not make any CUDA API calls. Attempting to use CUDA APIs
* will result in ::cudaErrorNotPermitted. Callbacks must not perform any
* synchronization that may depend on outstanding device work or other callbacks
* that are not mandated to run earlier. Callbacks without a mandated order
* (in independent streams) execute in undefined order and may be serialized.
*
* For the purposes of Unified Memory, callback execution makes a number of
* guarantees:
*
* - The callback stream is considered idle for the duration of the
* callback. Thus, for example, a callback may always use memory attached
* to the callback stream.
* - The start of execution of a callback has the same effect as
* synchronizing an event recorded in the same stream immediately prior to
* the callback. It thus synchronizes streams which have been "joined"
* prior to the callback.
* - Adding device work to any stream does not have the effect of making
* the stream active until all preceding callbacks have executed. Thus, for
* example, a callback might use global attached memory even if work has
* been added to another stream, if it has been properly ordered with an
* event.
* - Completion of a callback does not cause a stream to become
* active except as described above. The callback stream will remain idle
* if no device work follows the callback, and will remain idle across
* consecutive callbacks without device work in between. Thus, for example,
* stream synchronization can be done by signaling from a callback at the
* end of the stream.
*
*
* @param stream - Stream to add callback to
* @param callback - The function to call once preceding stream operations are complete
* @param userData - User specified data to be passed to the callback function
* @param flags - Reserved for future use, must be 0
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorNotSupported
* \note_null_stream
* \notefnerr
*
* \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamSynchronize, ::cudaStreamWaitEvent, ::cudaStreamDestroy, ::cudaMallocManaged, ::cudaStreamAttachMemAsync
*/
public static native @Cast("cudaError_t") int cudaStreamAddCallback(CUstream_st stream,
cudaStreamCallback_t callback, Pointer userData, @Cast("unsigned int") int flags);
/**
* \brief Waits for stream tasks to complete
*
* Blocks until \p stream has completed all operations. If the
* ::cudaDeviceScheduleBlockingSync flag was set for this device,
* the host thread will block until the stream is finished with
* all of its tasks.
*
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle
* \notefnerr
*
* \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamQuery, ::cudaStreamWaitEvent, ::cudaStreamAddCallback, ::cudaStreamDestroy
*/
public static native @Cast("cudaError_t") int cudaStreamSynchronize(CUstream_st stream);
/**
* \brief Queries an asynchronous stream for completion status
*
* Returns ::cudaSuccess if all operations in \p stream have
* completed, or ::cudaErrorNotReady if not.
*
* For the purposes of Unified Memory, a return value of ::cudaSuccess
* is equivalent to having called ::cudaStreamSynchronize().
*
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorNotReady,
* ::cudaErrorInvalidResourceHandle
* \notefnerr
*
* \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamWaitEvent, ::cudaStreamSynchronize, ::cudaStreamAddCallback, ::cudaStreamDestroy
*/
public static native @Cast("cudaError_t") int cudaStreamQuery(CUstream_st stream);
/**
* \brief Attach memory to a stream asynchronously
*
* Enqueues an operation in \p stream to specify stream association of
* \p length bytes of memory starting from \p devPtr. This function is a
* stream-ordered operation, meaning that it is dependent on, and will
* only take effect when, previous work in stream has completed. Any
* previous association is automatically replaced.
*
* \p devPtr must point to an address within managed memory space declared
* using the __managed__ keyword or allocated with ::cudaMallocManaged.
*
* \p length must be zero, to indicate that the entire allocation's
* stream association is being changed. Currently, it's not possible
* to change stream association for a portion of an allocation.
*
* The stream association is specified using \p flags which must be
* one of ::cudaMemAttachGlobal, ::cudaMemAttachHost or ::cudaMemAttachSingle.
* If the ::cudaMemAttachGlobal flag is specified, the memory can be accessed
* by any stream on any device.
* If the ::cudaMemAttachHost flag is specified, the program makes a guarantee
* that it won't access the memory on the device from any stream.
* If the ::cudaMemAttachSingle flag is specified, the program makes a guarantee
* that it will only access the memory on the device from \p stream. It is illegal
* to attach singly to the NULL stream, because the NULL stream is a virtual global
* stream and not a specific stream. An error will be returned in this case.
*
* When memory is associated with a single stream, the Unified Memory system will
* allow CPU access to this memory region so long as all operations in \p stream
* have completed, regardless of whether other streams are active. In effect,
* this constrains exclusive ownership of the managed memory region by
* an active GPU to per-stream activity instead of whole-GPU activity.
*
* Accessing memory on the device from streams that are not associated with
* it will produce undefined results. No error checking is performed by the
* Unified Memory system to ensure that kernels launched into other streams
* do not access this region.
*
* It is a program's responsibility to order calls to ::cudaStreamAttachMemAsync
* via events, synchronization or other means to ensure legal access to memory
* at all times. Data visibility and coherency will be changed appropriately
* for all kernels which follow a stream-association change.
*
* If \p stream is destroyed while data is associated with it, the association is
* removed and the association reverts to the default visibility of the allocation
* as specified at ::cudaMallocManaged. For __managed__ variables, the default
* association is always ::cudaMemAttachGlobal. Note that destroying a stream is an
* asynchronous operation, and as a result, the change to default association won't
* happen until all work in the stream has completed.
*
* @param stream - Stream in which to enqueue the attach operation
* @param devPtr - Pointer to memory (must be a pointer to managed memory)
* @param length - Length of memory (must be zero)
* @param flags - Must be one of ::cudaMemAttachGlobal, ::cudaMemAttachHost or ::cudaMemAttachSingle
*
* @return
* ::cudaSuccess,
* ::cudaErrorNotReady,
* ::cudaErrorInvalidValue
* ::cudaErrorInvalidResourceHandle
* \notefnerr
*
* \sa ::cudaStreamCreate, ::cudaStreamCreateWithFlags, ::cudaStreamWaitEvent, ::cudaStreamSynchronize, ::cudaStreamAddCallback, ::cudaStreamDestroy, ::cudaMallocManaged
*/
public static native @Cast("cudaError_t") int cudaStreamAttachMemAsync(CUstream_st stream, Pointer devPtr, @Cast("size_t") long length, @Cast("unsigned int") int flags);
/** \} */ /* END CUDART_STREAM */
/**
* \defgroup CUDART_EVENT Event Management
*
* ___MANBRIEF___ event management functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the event management functions of the CUDA runtime
* application programming interface.
*
* \{
*/
/**
* \brief Creates an event object
*
* Creates an event object using ::cudaEventDefault.
*
* @param event - Newly created event
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidValue,
* ::cudaErrorLaunchFailure,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*, unsigned int) "cudaEventCreate (C++ API)",
* ::cudaEventCreateWithFlags, ::cudaEventRecord, ::cudaEventQuery,
* ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime,
* ::cudaStreamWaitEvent
*/
public static native @Cast("cudaError_t") int cudaEventCreate(@ByPtrPtr CUevent_st event);
/**
* \brief Creates an event object with the specified flags
*
* Creates an event object with the specified flags. Valid flags include:
* - ::cudaEventDefault: Default event creation flag.
* - ::cudaEventBlockingSync: Specifies that event should use blocking
* synchronization. A host thread that uses ::cudaEventSynchronize() to wait
* on an event created with this flag will block until the event actually
* completes.
* - ::cudaEventDisableTiming: Specifies that the created event does not need
* to record timing data. Events created with this flag specified and
* the ::cudaEventBlockingSync flag not specified will provide the best
* performance when used with ::cudaStreamWaitEvent() and ::cudaEventQuery().
* - ::cudaEventInterprocess: Specifies that the created event may be used as an
* interprocess event by ::cudaIpcGetEventHandle(). ::cudaEventInterprocess must
* be specified along with ::cudaEventDisableTiming.
*
* @param event - Newly created event
* @param flags - Flags for new event
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidValue,
* ::cudaErrorLaunchFailure,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)",
* ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime,
* ::cudaStreamWaitEvent
*/
public static native @Cast("cudaError_t") int cudaEventCreateWithFlags(@ByPtrPtr CUevent_st event, @Cast("unsigned int") int flags);
/**
* \brief Records an event
*
* Records an event. See note about NULL stream behavior. Since operation
* is asynchronous, ::cudaEventQuery() or ::cudaEventSynchronize() must
* be used to determine when the event has actually been recorded.
*
* If ::cudaEventRecord() has previously been called on \p event, then this
* call will overwrite any existing state in \p event. Any subsequent calls
* which examine the status of \p event will only examine the completion of
* this most recent call to ::cudaEventRecord().
*
* @param event - Event to record
* @param stream - Stream in which to record event
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorLaunchFailure
* \note_null_stream
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)",
* ::cudaEventCreateWithFlags, ::cudaEventQuery,
* ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime,
* ::cudaStreamWaitEvent
*/
public static native @Cast("cudaError_t") int cudaEventRecord(CUevent_st event, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaEventRecord(CUevent_st event);
/**
* \brief Queries an event's status
*
* Query the status of all device work preceding the most recent call to
* ::cudaEventRecord() (in the appropriate compute streams, as specified by the
* arguments to ::cudaEventRecord()).
*
* If this work has successfully been completed by the device, or if
* ::cudaEventRecord() has not been called on \p event, then ::cudaSuccess is
* returned. If this work has not yet been completed by the device then
* ::cudaErrorNotReady is returned.
*
* For the purposes of Unified Memory, a return value of ::cudaSuccess
* is equivalent to having called ::cudaEventSynchronize().
*
* @param event - Event to query
*
* @return
* ::cudaSuccess,
* ::cudaErrorNotReady,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorLaunchFailure
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)",
* ::cudaEventCreateWithFlags, ::cudaEventRecord,
* ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventElapsedTime
*/
public static native @Cast("cudaError_t") int cudaEventQuery(CUevent_st event);
/**
* \brief Waits for an event to complete
*
* Wait until the completion of all device work preceding the most recent
* call to ::cudaEventRecord() (in the appropriate compute streams, as specified
* by the arguments to ::cudaEventRecord()).
*
* If ::cudaEventRecord() has not been called on \p event, ::cudaSuccess is
* returned immediately.
*
* Waiting for an event that was created with the ::cudaEventBlockingSync
* flag will cause the calling CPU thread to block until the event has
* been completed by the device. If the ::cudaEventBlockingSync flag has
* not been set, then the CPU thread will busy-wait until the event has
* been completed by the device.
*
* @param event - Event to wait for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorLaunchFailure
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)",
* ::cudaEventCreateWithFlags, ::cudaEventRecord,
* ::cudaEventQuery, ::cudaEventDestroy, ::cudaEventElapsedTime
*/
public static native @Cast("cudaError_t") int cudaEventSynchronize(CUevent_st event);
/**
* \brief Destroys an event object
*
* Destroys the event specified by \p event.
*
* In case \p event has been recorded but has not yet been completed
* when ::cudaEventDestroy() is called, the function will return immediately and
* the resources associated with \p event will be released automatically once
* the device has completed \p event.
*
* @param event - Event to destroy
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidValue,
* ::cudaErrorLaunchFailure
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)",
* ::cudaEventCreateWithFlags, ::cudaEventQuery,
* ::cudaEventSynchronize, ::cudaEventRecord, ::cudaEventElapsedTime
*/
public static native @Cast("cudaError_t") int cudaEventDestroy(CUevent_st event);
/**
* \brief Computes the elapsed time between events
*
* Computes the elapsed time between two events (in milliseconds with a
* resolution of around 0.5 microseconds).
*
* If either event was last recorded in a non-NULL stream, the resulting time
* may be greater than expected (even if both used the same stream handle). This
* happens because the ::cudaEventRecord() operation takes place asynchronously
* and there is no guarantee that the measured latency is actually just between
* the two events. Any number of other different stream operations could execute
* in between the two measured events, thus altering the timing in a significant
* way.
*
* If ::cudaEventRecord() has not been called on either event, then
* ::cudaErrorInvalidResourceHandle is returned. If ::cudaEventRecord() has been
* called on both events but one or both of them has not yet been completed
* (that is, ::cudaEventQuery() would return ::cudaErrorNotReady on at least one
* of the events), ::cudaErrorNotReady is returned. If either event was created
* with the ::cudaEventDisableTiming flag, then this function will return
* ::cudaErrorInvalidResourceHandle.
*
* @param ms - Time between \p start and \p end in ms
* @param start - Starting event
* @param end - Ending event
*
* @return
* ::cudaSuccess,
* ::cudaErrorNotReady,
* ::cudaErrorInvalidValue,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorLaunchFailure
* \notefnerr
*
* \sa \ref ::cudaEventCreate(cudaEvent_t*) "cudaEventCreate (C API)",
* ::cudaEventCreateWithFlags, ::cudaEventQuery,
* ::cudaEventSynchronize, ::cudaEventDestroy, ::cudaEventRecord
*/
public static native @Cast("cudaError_t") int cudaEventElapsedTime(FloatPointer ms, CUevent_st start, CUevent_st end);
public static native @Cast("cudaError_t") int cudaEventElapsedTime(FloatBuffer ms, CUevent_st start, CUevent_st end);
public static native @Cast("cudaError_t") int cudaEventElapsedTime(float[] ms, CUevent_st start, CUevent_st end);
/** \} */ /* END CUDART_EVENT */
/**
* \defgroup CUDART_EXECUTION Execution Control
*
* ___MANBRIEF___ execution control functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the execution control functions of the CUDA runtime
* application programming interface.
*
* Some functions have overloaded C++ API template versions documented separately in the
* \ref CUDART_HIGHLEVEL "C++ API Routines" module.
*
* \{
*/
// #if CUDART_VERSION >= 7000
/**
* \brief Launches a device function
*
* The function invokes kernel \p func on \p gridDim (\p gridDim.x × \p gridDim.y
* × \p gridDim.z) grid of blocks. Each block contains \p blockDim (\p blockDim.x ×
* \p blockDim.y × \p blockDim.z) threads.
*
* If the kernel has N parameters the \p args should point to array of N pointers.
* Each pointer, from args[0] to args[N - 1], point to the region
* of memory from which the actual parameter will be copied.
*
* For templated functions, pass the function symbol as follows:
* func_name
*
* \p sharedMem sets the amount of dynamic shared memory that will be available to
* each thread block.
*
* \p stream specifies a stream the invocation is associated to.
*
* @param func - Device function symbol
* @param gridDim - Grid dimentions
* @param blockDim - Block dimentions
* @param args - Arguments
* @param sharedMem - Shared memory
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidConfiguration,
* ::cudaErrorLaunchFailure,
* ::cudaErrorLaunchTimeout,
* ::cudaErrorLaunchOutOfResources,
* ::cudaErrorSharedObjectInitFailed
* \note_null_stream
* \notefnerr
*
* \ref ::cudaLaunchKernel(const T *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaLaunchKernel(@Const Pointer func, @ByVal dim3 gridDim, @ByVal dim3 blockDim, @Cast("void**") PointerPointer args, @Cast("size_t") long sharedMem, CUstream_st stream);
public static native @Cast("cudaError_t") int cudaLaunchKernel(@Const Pointer func, @ByVal dim3 gridDim, @ByVal dim3 blockDim, @Cast("void**") @ByPtrPtr Pointer args, @Cast("size_t") long sharedMem, CUstream_st stream);
// #endif /* CUDART_VERSION >= 7000 */
/**
* \brief Sets the preferred cache configuration for a device function
*
* On devices where the L1 cache and shared memory use the same hardware
* resources, this sets through \p cacheConfig the preferred cache configuration
* for the function specified via \p func. This is only a preference. The
* runtime will use the requested configuration if possible, but it is free to
* choose a different configuration if required to execute \p func.
*
* \p func is a device function symbol and must be declared as a
* \c __global__ function. If the specified function does not exist,
* then ::cudaErrorInvalidDeviceFunction is returned. For templated functions,
* pass the function symbol as follows: func_name
*
* This setting does nothing on devices where the size of the L1 cache and
* shared memory are fixed.
*
* Launching a kernel with a different preference than the most recent
* preference setting may insert a device-side synchronization point.
*
* The supported cache configurations are:
* - ::cudaFuncCachePreferNone: no preference for shared memory or L1 (default)
* - ::cudaFuncCachePreferShared: prefer larger shared memory and smaller L1 cache
* - ::cudaFuncCachePreferL1: prefer larger L1 cache and smaller shared memory
* - ::cudaFuncCachePreferEqual: prefer equal size L1 cache and shared memory
*
* @param func - Device function symbol
* @param cacheConfig - Requested cache configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidDeviceFunction
* \notefnerr
* \note_string_api_deprecation2
*
* \sa ::cudaConfigureCall,
* \ref ::cudaFuncSetCacheConfig(T*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C++ API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)",
* \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)",
* ::cudaSetDoubleForDevice,
* ::cudaSetDoubleForHost,
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)",
* ::cudaThreadGetCacheConfig,
* ::cudaThreadSetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaFuncSetCacheConfig(@Const Pointer func, @Cast("cudaFuncCache") int cacheConfig);
/**
* \brief Sets the shared memory configuration for a device function
*
* On devices with configurable shared memory banks, this function will
* force all subsequent launches of the specified device function to have
* the given shared memory bank size configuration. On any given launch of the
* function, the shared memory configuration of the device will be temporarily
* changed if needed to suit the function's preferred configuration. Changes in
* shared memory configuration between subsequent launches of functions,
* may introduce a device side synchronization point.
*
* Any per-function setting of shared memory bank size set via
* ::cudaFuncSetSharedMemConfig will override the device wide setting set by
* ::cudaDeviceSetSharedMemConfig.
*
* Changing the shared memory bank size will not increase shared memory usage
* or affect occupancy of kernels, but may have major effects on performance.
* Larger bank sizes will allow for greater potential bandwidth to shared memory,
* but will change what kinds of accesses to shared memory will result in bank
* conflicts.
*
* This function will do nothing on devices with fixed shared memory bank size.
*
* For templated functions, pass the function symbol as follows:
* func_name
*
* The supported bank configurations are:
* - ::cudaSharedMemBankSizeDefault: use the device's shared memory configuration
* when launching this function.
* - ::cudaSharedMemBankSizeFourByte: set shared memory bank width to be
* four bytes natively when launching this function.
* - ::cudaSharedMemBankSizeEightByte: set shared memory bank width to be eight
* bytes natively when launching this function.
*
* @param func - Device function symbol
* @param config - Requested shared memory configuration
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidValue,
* \notefnerr
* \note_string_api_deprecation2
*
* \sa ::cudaConfigureCall,
* ::cudaDeviceSetSharedMemConfig,
* ::cudaDeviceGetSharedMemConfig,
* ::cudaDeviceSetCacheConfig,
* ::cudaDeviceGetCacheConfig,
* ::cudaFuncSetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaFuncSetSharedMemConfig(@Const Pointer func, @Cast("cudaSharedMemConfig") int config);
/**
* \brief Find out attributes for a given function
*
* This function obtains the attributes of a function specified via \p func.
* \p func is a device function symbol and must be declared as a
* \c __global__ function. The fetched attributes are placed in \p attr.
* If the specified function does not exist, then
* ::cudaErrorInvalidDeviceFunction is returned. For templated functions, pass
* the function symbol as follows: func_name
*
* Note that some function attributes such as
* \ref ::cudaFuncAttributes::maxThreadsPerBlock "maxThreadsPerBlock"
* may vary based on the device that is currently being used.
*
* @param attr - Return pointer to function's attributes
* @param func - Device function symbol
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidDeviceFunction
* \notefnerr
* \note_string_api_deprecation2
*
* \sa ::cudaConfigureCall,
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, T*) "cudaFuncGetAttributes (C++ API)",
* \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)",
* ::cudaSetDoubleForDevice,
* ::cudaSetDoubleForHost,
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)"
*/
public static native @Cast("cudaError_t") int cudaFuncGetAttributes(cudaFuncAttributes attr, @Const Pointer func);
/**
* \brief Converts a double argument to be executed on a device
*
* @param d - Double to convert
*
* @deprecated This function is deprecated as of CUDA 7.5
*
* Converts the double value of \p d to an internal float representation if
* the device does not support double arithmetic. If the device does natively
* support doubles, then this function does nothing.
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \ref ::cudaLaunch(const void*) "cudaLaunch (C API)",
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)",
* ::cudaSetDoubleForHost,
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)"
*/
public static native @Cast("cudaError_t") int cudaSetDoubleForDevice(DoublePointer d);
public static native @Cast("cudaError_t") int cudaSetDoubleForDevice(DoubleBuffer d);
public static native @Cast("cudaError_t") int cudaSetDoubleForDevice(double[] d);
/**
* \brief Converts a double argument after execution on a device
*
* @deprecated This function is deprecated as of CUDA 7.5
*
* Converts the double value of \p d from a potentially internal float
* representation if the device does not support double arithmetic. If the
* device does natively support doubles, then this function does nothing.
*
* @param d - Double to convert
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \ref ::cudaLaunch(const void*) "cudaLaunch (C API)",
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)",
* ::cudaSetDoubleForDevice,
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)"
*/
public static native @Cast("cudaError_t") int cudaSetDoubleForHost(DoublePointer d);
public static native @Cast("cudaError_t") int cudaSetDoubleForHost(DoubleBuffer d);
public static native @Cast("cudaError_t") int cudaSetDoubleForHost(double[] d);
/** \} */ /* END CUDART_EXECUTION */
// #if CUDART_VERSION >= 6050
/**
* \defgroup CUDART_OCCUPANCY Occupancy
*
* ___MANBRIEF___ occupancy calculation functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the occupancy calculation functions of the CUDA runtime
* application programming interface.
*
* Besides the occupancy calculator functions
* (\ref ::cudaOccupancyMaxActiveBlocksPerMultiprocessor and \ref ::cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags),
* there are also C++ only occupancy-based launch configuration functions documented in
* \ref CUDART_HIGHLEVEL "C++ API Routines" module.
*
* See
* \ref ::cudaOccupancyMaxPotentialBlockSize(int*, int*, T, size_t, int) "cudaOccupancyMaxPotentialBlockSize (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeWithFlags(int*, int*, T, size_t, int, unsigned int) "cudaOccupancyMaxPotentialBlockSize (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMem(int*, int*, T, UnaryFunction, int) "cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags(int*, int*, T, UnaryFunction, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)",
*
* \{
*/
/**
* \brief Returns occupancy for a device function
*
* Returns in \p *numBlocks the maximum number of active blocks per
* streaming multiprocessor for the device function.
*
* @param numBlocks - Returned occupancy
* @param func - Kernel function for which occupancy is calculated
* @param blockSize - Block size the kernel is intended to be launched with
* @param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes
*
* @return
* ::cudaSuccess,
* ::cudaErrorCudartUnloading,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidDevice,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidValue,
* ::cudaErrorUnknown,
* \notefnerr
*
* \sa ::cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags,
* \ref ::cudaOccupancyMaxPotentialBlockSize(int*, int*, T, size_t, int) "cudaOccupancyMaxPotentialBlockSize (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeWithFlags(int*, int*, T, size_t, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeWithFlags (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMem(int*, int*, T, UnaryFunction, int) "cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)"
* \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags(int*, int*, T, UnaryFunction, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaOccupancyMaxActiveBlocksPerMultiprocessor(IntPointer numBlocks, @Const Pointer func, int blockSize, @Cast("size_t") long dynamicSMemSize);
public static native @Cast("cudaError_t") int cudaOccupancyMaxActiveBlocksPerMultiprocessor(IntBuffer numBlocks, @Const Pointer func, int blockSize, @Cast("size_t") long dynamicSMemSize);
public static native @Cast("cudaError_t") int cudaOccupancyMaxActiveBlocksPerMultiprocessor(int[] numBlocks, @Const Pointer func, int blockSize, @Cast("size_t") long dynamicSMemSize);
// #if CUDART_VERSION >= 7000
/**
* \brief Returns occupancy for a device function with the specified flags
*
* Returns in \p *numBlocks the maximum number of active blocks per
* streaming multiprocessor for the device function.
*
* The \p flags parameter controls how special cases are handled. Valid flags include:
*
* - ::cudaOccupancyDefault: keeps the default behavior as
* ::cudaOccupancyMaxActiveBlocksPerMultiprocessor
*
* - ::cudaOccupancyDisableCachingOverride: This flag suppresses the default behavior
* on platform where global caching affects occupancy. On such platforms, if caching
* is enabled, but per-block SM resource usage would result in zero occupancy, the
* occupancy calculator will calculate the occupancy as if caching is disabled.
* Setting this flag makes the occupancy calculator to return 0 in such cases.
* More information can be found about this feature in the "Unified L1/Texture Cache"
* section of the Maxwell tuning guide.
*
* @param numBlocks - Returned occupancy
* @param func - Kernel function for which occupancy is calculated
* @param blockSize - Block size the kernel is intended to be launched with
* @param dynamicSMemSize - Per-block dynamic shared memory usage intended, in bytes
* @param flags - Requested behavior for the occupancy calculator
*
* @return
* ::cudaSuccess,
* ::cudaErrorCudartUnloading,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidDevice,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidValue,
* ::cudaErrorUnknown,
* \notefnerr
*
* \sa ::cudaOccupancyMaxActiveBlocksPerMultiprocessor,
* \ref ::cudaOccupancyMaxPotentialBlockSize(int*, int*, T, size_t, int) "cudaOccupancyMaxPotentialBlockSize (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeWithFlags(int*, int*, T, size_t, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeWithFlags (C++ API)",
* \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMem(int*, int*, T, UnaryFunction, int) "cudaOccupancyMaxPotentialBlockSizeVariableSMem (C++ API)"
* \ref ::cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags(int*, int*, T, UnaryFunction, int, unsigned int) "cudaOccupancyMaxPotentialBlockSizeVariableSMemWithFlags (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(IntPointer numBlocks, @Const Pointer func, int blockSize, @Cast("size_t") long dynamicSMemSize, @Cast("unsigned int") int flags);
public static native @Cast("cudaError_t") int cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(IntBuffer numBlocks, @Const Pointer func, int blockSize, @Cast("size_t") long dynamicSMemSize, @Cast("unsigned int") int flags);
public static native @Cast("cudaError_t") int cudaOccupancyMaxActiveBlocksPerMultiprocessorWithFlags(int[] numBlocks, @Const Pointer func, int blockSize, @Cast("size_t") long dynamicSMemSize, @Cast("unsigned int") int flags);
/** \} */ /* END CUDA_OCCUPANCY */
// #endif /* CUDART_VERSION >= 7000 */
// #endif /* CUDART_VERSION >= 6050 */
/**
* \defgroup CUDART_EXECUTION_DEPRECATED Execution Control [DEPRECATED]
*
* ___MANBRIEF___ deprecated execution control functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the deprecated execution control functions of the CUDA runtime
* application programming interface.
*
* Some functions have overloaded C++ API template versions documented separately in the
* \ref CUDART_HIGHLEVEL "C++ API Routines" module.
*
* \{
*/
/**
* \brief Configure a device-launch
*
* @deprecated This function is deprecated as of CUDA 7.0
*
* Specifies the grid and block dimensions for the device call to be executed
* similar to the execution configuration syntax. ::cudaConfigureCall() is
* stack based. Each call pushes data on top of an execution stack. This data
* contains the dimension for the grid and thread blocks, together with any
* arguments for the call.
*
* @param gridDim - Grid dimensions
* @param blockDim - Block dimensions
* @param sharedMem - Shared memory
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidConfiguration
* \note_null_stream
* \notefnerr
*
* \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)",
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)",
* \ref ::cudaLaunch(const void*) "cudaLaunch (C API)",
* ::cudaSetDoubleForDevice,
* ::cudaSetDoubleForHost,
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)",
*/
public static native @Cast("cudaError_t") int cudaConfigureCall(@ByVal dim3 gridDim, @ByVal dim3 blockDim, @Cast("size_t") long sharedMem/*=0*/, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaConfigureCall(@ByVal dim3 gridDim, @ByVal dim3 blockDim);
/**
* \brief Configure a device launch
*
* @deprecated This function is deprecated as of CUDA 7.0
*
* Pushes \p size bytes of the argument pointed to by \p arg at \p offset
* bytes from the start of the parameter passing area, which starts at
* offset 0. The arguments are stored in the top of the execution stack.
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument()"
* must be preceded by a call to ::cudaConfigureCall().
*
* @param arg - Argument to push for a kernel launch
* @param size - Size of argument
* @param offset - Offset in argument stack to push new arg
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)",
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)",
* \ref ::cudaLaunch(const void*) "cudaLaunch (C API)",
* ::cudaSetDoubleForDevice,
* ::cudaSetDoubleForHost,
* \ref ::cudaSetupArgument(T, size_t) "cudaSetupArgument (C++ API)",
*/
public static native @Cast("cudaError_t") int cudaSetupArgument(@Const Pointer arg, @Cast("size_t") long size, @Cast("size_t") long offset);
/**
* \brief Launches a device function
*
* @deprecated This function is deprecated as of CUDA 7.0
*
* Launches the function \p func on the device. The parameter \p func must
* be a device function symbol. The parameter specified by \p func must be
* declared as a \p __global__ function. For templated functions, pass the
* function symbol as follows: func_name
* \ref ::cudaLaunch(const void*) "cudaLaunch()" must be preceded by a call to
* ::cudaConfigureCall() since it pops the data that was pushed by
* ::cudaConfigureCall() from the execution stack.
*
* @param func - Device function symbol
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDeviceFunction,
* ::cudaErrorInvalidConfiguration,
* ::cudaErrorLaunchFailure,
* ::cudaErrorLaunchTimeout,
* ::cudaErrorLaunchOutOfResources,
* ::cudaErrorSharedObjectInitFailed
* \notefnerr
* \note_string_api_deprecation_50
*
* \ref ::cudaLaunchKernel(const void *func, dim3 gridDim, dim3 blockDim, void **args, size_t sharedMem, cudaStream_t stream) "cudaLaunchKernel (C API)",
* \ref ::cudaFuncSetCacheConfig(const void*, enum cudaFuncCache) "cudaFuncSetCacheConfig (C API)",
* \ref ::cudaFuncGetAttributes(struct cudaFuncAttributes*, const void*) "cudaFuncGetAttributes (C API)",
* \ref ::cudaLaunch(T*) "cudaLaunch (C++ API)",
* ::cudaSetDoubleForDevice,
* ::cudaSetDoubleForHost,
* \ref ::cudaSetupArgument(const void*, size_t, size_t) "cudaSetupArgument (C API)",
* ::cudaThreadGetCacheConfig,
* ::cudaThreadSetCacheConfig
*/
public static native @Cast("cudaError_t") int cudaLaunch(@Const Pointer func);
/** \} */ /* END CUDART_EXECUTION_DEPRECATED */
/**
* \defgroup CUDART_MEMORY Memory Management
*
* ___MANBRIEF___ memory management functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the memory management functions of the CUDA runtime
* application programming interface.
*
* Some functions have overloaded C++ API template versions documented separately in the
* \ref CUDART_HIGHLEVEL "C++ API Routines" module.
*
* \{
*/
/**
* \brief Allocates memory that will be automatically managed by the Unified Memory system
*
* Allocates \p size bytes of managed memory on the device and returns in
* \p *devPtr a pointer to the allocated memory. If the device doesn't support
* allocating managed memory, ::cudaErrorNotSupported is returned. Support
* for managed memory can be queried using the device attribute
* ::cudaDevAttrManagedMemory. The allocated memory is suitably
* aligned for any kind of variable. The memory is not cleared. If \p size
* is 0, ::cudaMallocManaged returns ::cudaErrorInvalidValue. The pointer
* is valid on the CPU and on all GPUs in the system that support managed memory.
* All accesses to this pointer must obey the Unified Memory programming model.
*
* \p flags specifies the default stream association for this allocation.
* \p flags must be one of ::cudaMemAttachGlobal or ::cudaMemAttachHost.
* If ::cudaMemAttachGlobal is specified, then this memory is accessible from
* any stream on any device. If ::cudaMemAttachHost is specified, then the
* allocation is created with initial visibility restricted to host access only;
* an explicit call to ::cudaStreamAttachMemAsync will be required to enable access
* on the device.
*
* If the association is later changed via ::cudaStreamAttachMemAsync to
* a single stream, the default association, as specifed during ::cudaMallocManaged,
* is restored when that stream is destroyed. For __managed__ variables, the
* default association is always ::cudaMemAttachGlobal. Note that destroying a
* stream is an asynchronous operation, and as a result, the change to default
* association won't happen until all work in the stream has completed.
*
* Memory allocated with ::cudaMallocManaged should be released with ::cudaFree.
*
* On a multi-GPU system with peer-to-peer support, where multiple GPUs support
* managed memory, the physical storage is created on the GPU which is active
* at the time ::cudaMallocManaged is called. All other GPUs will reference the
* data at reduced bandwidth via peer mappings over the PCIe bus. The Unified
* Memory management system does not migrate memory between GPUs.
*
* On a multi-GPU system where multiple GPUs support managed memory, but not
* all pairs of such GPUs have peer-to-peer support between them, the physical
* storage is created in 'zero-copy' or system memory. All GPUs will reference
* the data at reduced bandwidth over the PCIe bus. In these circumstances,
* use of the environment variable, CUDA_VISIBLE_DEVICES, is recommended to
* restrict CUDA to only use those GPUs that have peer-to-peer support.
* Alternatively, users can also set CUDA_MANAGED_FORCE_DEVICE_ALLOC to a non-zero
* value to force the driver to always use device memory for physical storage.
* When this environment variable is set to a non-zero value, all devices used in
* that process that support managed memory have to be peer-to-peer compatible
* with each other. The error ::cudaErrorInvalidDevice will be returned if a device
* that supports managed memory is used and it is not peer-to-peer compatible with
* any of the other managed memory supporting devices that were previously used in
* that process, even if ::cudaDeviceReset has been called on those devices. These
* environment variables are described in the CUDA programming guide under the
* "CUDA environment variables" section.
*
* @param devPtr - Pointer to allocated device memory
* @param size - Requested allocation size in bytes
* @param flags - Must be either ::cudaMemAttachGlobal or ::cudaMemAttachHost
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* ::cudaErrorNotSupported
* ::cudaErrorInvalidValue
*
* \sa ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, ::cudaFreeArray,
* ::cudaMalloc3D, ::cudaMalloc3DArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc, ::cudaDeviceGetAttribute, ::cudaStreamAttachMemAsync
*/
public static native @Cast("cudaError_t") int cudaMallocManaged(@Cast("void**") PointerPointer devPtr, @Cast("size_t") long size, @Cast("unsigned int") int flags);
public static native @Cast("cudaError_t") int cudaMallocManaged(@Cast("void**") @ByPtrPtr Pointer devPtr, @Cast("size_t") long size, @Cast("unsigned int") int flags);
/**
* \brief Allocate memory on the device
*
* Allocates \p size bytes of linear memory on the device and returns in
* \p *devPtr a pointer to the allocated memory. The allocated memory is
* suitably aligned for any kind of variable. The memory is not cleared.
* ::cudaMalloc() returns ::cudaErrorMemoryAllocation in case of failure.
*
* The device version of ::cudaFree cannot be used with a \p *devPtr
* allocated using the host API, and vice versa.
*
* @param devPtr - Pointer to allocated device memory
* @param size - Requested allocation size in bytes
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
*
* \sa ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray, ::cudaFreeArray,
* ::cudaMalloc3D, ::cudaMalloc3DArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaMalloc(@Cast("void**") PointerPointer devPtr, @Cast("size_t") long size);
public static native @Cast("cudaError_t") int cudaMalloc(@Cast("void**") @ByPtrPtr Pointer devPtr, @Cast("size_t") long size);
/**
* \brief Allocates page-locked memory on the host
*
* Allocates \p size bytes of host memory that is page-locked and accessible
* to the device. The driver tracks the virtual memory ranges allocated with
* this function and automatically accelerates calls to functions such as
* ::cudaMemcpy*(). Since the memory can be accessed directly by the device,
* it can be read or written with much higher bandwidth than pageable memory
* obtained with functions such as ::malloc(). Allocating excessive amounts of
* memory with ::cudaMallocHost() may degrade system performance, since it
* reduces the amount of memory available to the system for paging. As a
* result, this function is best used sparingly to allocate staging areas for
* data exchange between host and device.
*
* @param ptr - Pointer to allocated host memory
* @param size - Requested allocation size in bytes
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaMallocArray, ::cudaMalloc3D,
* ::cudaMalloc3DArray, ::cudaHostAlloc, ::cudaFree, ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t, unsigned int) "cudaMallocHost (C++ API)",
* ::cudaFreeHost, ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaMallocHost(@Cast("void**") PointerPointer ptr, @Cast("size_t") long size);
public static native @Cast("cudaError_t") int cudaMallocHost(@Cast("void**") @ByPtrPtr Pointer ptr, @Cast("size_t") long size);
/**
* \brief Allocates pitched memory on the device
*
* Allocates at least \p width (in bytes) * \p height bytes of linear memory
* on the device and returns in \p *devPtr a pointer to the allocated memory.
* The function may pad the allocation to ensure that corresponding pointers
* in any given row will continue to meet the alignment requirements for
* coalescing as the address is updated from row to row. The pitch returned in
* \p *pitch by ::cudaMallocPitch() is the width in bytes of the allocation.
* The intended usage of \p pitch is as a separate parameter of the allocation,
* used to compute addresses within the 2D array. Given the row and column of
* an array element of type \p T, the address is computed as:
* {@code
T* pElement = (T*)((char*)BaseAddress + Row * pitch) + Column;
}
*
* For allocations of 2D arrays, it is recommended that programmers consider
* performing pitch allocations using ::cudaMallocPitch(). Due to pitch
* alignment restrictions in the hardware, this is especially true if the
* application will be performing 2D memory copies between different regions
* of device memory (whether linear memory or CUDA arrays).
*
* @param devPtr - Pointer to allocated pitched device memory
* @param pitch - Pitch for allocation
* @param width - Requested pitched allocation width (in bytes)
* @param height - Requested pitched allocation height
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaFree, ::cudaMallocArray, ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaMalloc3D, ::cudaMalloc3DArray,
* ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaMallocPitch(@Cast("void**") PointerPointer devPtr, @Cast("size_t*") SizeTPointer pitch, @Cast("size_t") long width, @Cast("size_t") long height);
public static native @Cast("cudaError_t") int cudaMallocPitch(@Cast("void**") @ByPtrPtr Pointer devPtr, @Cast("size_t*") SizeTPointer pitch, @Cast("size_t") long width, @Cast("size_t") long height);
/**
* \brief Allocate an array on the device
*
* Allocates a CUDA array according to the ::cudaChannelFormatDesc structure
* \p desc and returns a handle to the new CUDA array in \p *array.
*
* The ::cudaChannelFormatDesc is defined as:
* {@code
struct cudaChannelFormatDesc {
int x, y, z, w;
enum cudaChannelFormatKind f;
};
}
* where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned,
* ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat.
*
* The \p flags parameter enables different options to be specified that affect
* the allocation, as follows.
* - ::cudaArrayDefault: This flag's value is defined to be 0 and provides default array allocation
* - ::cudaArraySurfaceLoadStore: Allocates an array that can be read from or written to using a surface reference
* - ::cudaArrayTextureGather: This flag indicates that texture gather operations will be performed on the array.
*
* \p width and \p height must meet certain size requirements. See ::cudaMalloc3DArray() for more details.
*
* @param array - Pointer to allocated array in device memory
* @param desc - Requested channel format
* @param width - Requested array allocation width
* @param height - Requested array allocation height
* @param flags - Requested properties of allocated array
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaMalloc3D, ::cudaMalloc3DArray,
* ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaMallocArray(@ByPtrPtr cudaArray array, @Const cudaChannelFormatDesc desc, @Cast("size_t") long width, @Cast("size_t") long height/*=0*/, @Cast("unsigned int") int flags/*=0*/);
public static native @Cast("cudaError_t") int cudaMallocArray(@ByPtrPtr cudaArray array, @Const cudaChannelFormatDesc desc, @Cast("size_t") long width);
/**
* \brief Frees memory on the device
*
* Frees the memory space pointed to by \p devPtr, which must have been
* returned by a previous call to ::cudaMalloc() or ::cudaMallocPitch().
* Otherwise, or if ::cudaFree(\p devPtr) has already been called before,
* an error is returned. If \p devPtr is 0, no operation is performed.
* ::cudaFree() returns ::cudaErrorInvalidDevicePointer in case of failure.
*
* The device version of ::cudaFree cannot be used with a \p *devPtr
* allocated using the host API, and vice versa.
*
* @param devPtr - Device pointer to memory to free
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaMallocArray, ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaMalloc3D, ::cudaMalloc3DArray,
* ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaFree(Pointer devPtr);
/**
* \brief Frees page-locked memory
*
* Frees the memory space pointed to by \p hostPtr, which must have been
* returned by a previous call to ::cudaMallocHost() or ::cudaHostAlloc().
*
* @param ptr - Pointer to memory to free
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray,
* ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaMalloc3D, ::cudaMalloc3DArray, ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaFreeHost(Pointer ptr);
/**
* \brief Frees an array on the device
*
* Frees the CUDA array \p array, which must have been * returned by a
* previous call to ::cudaMallocArray(). If ::cudaFreeArray(\p array) has
* already been called before, ::cudaErrorInvalidValue is returned. If
* \p devPtr is 0, no operation is performed.
*
* @param array - Pointer to array to free
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaFreeArray(cudaArray array);
/**
* \brief Frees a mipmapped array on the device
*
* Frees the CUDA mipmapped array \p mipmappedArray, which must have been
* returned by a previous call to ::cudaMallocMipmappedArray().
* If ::cudaFreeMipmappedArray(\p mipmappedArray) has already been called before,
* ::cudaErrorInvalidValue is returned.
*
* @param mipmappedArray - Pointer to mipmapped array to free
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInitializationError
* \notefnerr
*
* \sa ::cudaMalloc, ::cudaMallocPitch, ::cudaFree, ::cudaMallocArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaFreeMipmappedArray(cudaMipmappedArray mipmappedArray);
/**
* \brief Allocates page-locked memory on the host
*
* Allocates \p size bytes of host memory that is page-locked and accessible
* to the device. The driver tracks the virtual memory ranges allocated with
* this function and automatically accelerates calls to functions such as
* ::cudaMemcpy(). Since the memory can be accessed directly by the device, it
* can be read or written with much higher bandwidth than pageable memory
* obtained with functions such as ::malloc(). Allocating excessive amounts of
* pinned memory may degrade system performance, since it reduces the amount
* of memory available to the system for paging. As a result, this function is
* best used sparingly to allocate staging areas for data exchange between host
* and device.
*
* The \p flags parameter enables different options to be specified that affect
* the allocation, as follows.
* - ::cudaHostAllocDefault: This flag's value is defined to be 0 and causes
* ::cudaHostAlloc() to emulate ::cudaMallocHost().
* - ::cudaHostAllocPortable: The memory returned by this call will be
* considered as pinned memory by all CUDA contexts, not just the one that
* performed the allocation.
* - ::cudaHostAllocMapped: Maps the allocation into the CUDA address space.
* The device pointer to the memory may be obtained by calling
* ::cudaHostGetDevicePointer().
* - ::cudaHostAllocWriteCombined: Allocates the memory as write-combined (WC).
* WC memory can be transferred across the PCI Express bus more quickly on some
* system configurations, but cannot be read efficiently by most CPUs. WC
* memory is a good option for buffers that will be written by the CPU and read
* by the device via mapped pinned memory or host->device transfers.
*
* All of these flags are orthogonal to one another: a developer may allocate
* memory that is portable, mapped and/or write-combined with no restrictions.
*
* ::cudaSetDeviceFlags() must have been called with the ::cudaDeviceMapHost
* flag in order for the ::cudaHostAllocMapped flag to have any effect.
*
* The ::cudaHostAllocMapped flag may be specified on CUDA contexts for devices
* that do not support mapped pinned memory. The failure is deferred to
* ::cudaHostGetDevicePointer() because the memory may be mapped into other
* CUDA contexts via the ::cudaHostAllocPortable flag.
*
* Memory allocated by this function must be freed with ::cudaFreeHost().
*
* @param pHost - Device pointer to allocated memory
* @param size - Requested allocation size in bytes
* @param flags - Requested properties of allocated memory
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaSetDeviceFlags,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost
*/
public static native @Cast("cudaError_t") int cudaHostAlloc(@Cast("void**") PointerPointer pHost, @Cast("size_t") long size, @Cast("unsigned int") int flags);
public static native @Cast("cudaError_t") int cudaHostAlloc(@Cast("void**") @ByPtrPtr Pointer pHost, @Cast("size_t") long size, @Cast("unsigned int") int flags);
/**
* \brief Registers an existing host memory range for use by CUDA
*
* Page-locks the memory range specified by \p ptr and \p size and maps it
* for the device(s) as specified by \p flags. This memory range also is added
* to the same tracking mechanism as ::cudaHostAlloc() to automatically accelerate
* calls to functions such as ::cudaMemcpy(). Since the memory can be accessed
* directly by the device, it can be read or written with much higher bandwidth
* than pageable memory that has not been registered. Page-locking excessive
* amounts of memory may degrade system performance, since it reduces the amount
* of memory available to the system for paging. As a result, this function is
* best used sparingly to register staging areas for data exchange between
* host and device.
*
* The \p flags parameter enables different options to be specified that
* affect the allocation, as follows.
*
* - ::cudaHostRegisterDefault: On a system with unified virtual addressing,
* the memory will be both mapped and portable. On a system with no unified
* virtual addressing, the memory will be neither mapped nor portable.
*
* - ::cudaHostRegisterPortable: The memory returned by this call will be
* considered as pinned memory by all CUDA contexts, not just the one that
* performed the allocation.
*
* - ::cudaHostRegisterMapped: Maps the allocation into the CUDA address
* space. The device pointer to the memory may be obtained by calling
* ::cudaHostGetDevicePointer().
*
* - ::cudaHostRegisterIoMemory: The passed memory pointer is treated as
* pointing to some memory-mapped I/O space, e.g. belonging to a
* third-party PCIe device, and it will marked as non cache-coherent and
* contiguous.
*
* All of these flags are orthogonal to one another: a developer may page-lock
* memory that is portable or mapped with no restrictions.
*
* The CUDA context must have been created with the ::cudaMapHost flag in
* order for the ::cudaHostRegisterMapped flag to have any effect.
*
* The ::cudaHostRegisterMapped flag may be specified on CUDA contexts for
* devices that do not support mapped pinned memory. The failure is deferred
* to ::cudaHostGetDevicePointer() because the memory may be mapped into
* other CUDA contexts via the ::cudaHostRegisterPortable flag.
*
* The memory page-locked by this function must be unregistered with ::cudaHostUnregister().
*
* @param ptr - Host pointer to memory to page-lock
* @param size - Size in bytes of the address range to page-lock in bytes
* @param flags - Flags for allocation request
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorMemoryAllocation,
* ::cudaErrorHostMemoryAlreadyRegistered
* \notefnerr
*
* \sa ::cudaHostUnregister, ::cudaHostGetFlags, ::cudaHostGetDevicePointer
*/
public static native @Cast("cudaError_t") int cudaHostRegister(Pointer ptr, @Cast("size_t") long size, @Cast("unsigned int") int flags);
/**
* \brief Unregisters a memory range that was registered with cudaHostRegister
*
* Unmaps the memory range whose base address is specified by \p ptr, and makes
* it pageable again.
*
* The base address must be the same one specified to ::cudaHostRegister().
*
* @param ptr - Host pointer to memory to unregister
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaHostUnregister
*/
public static native @Cast("cudaError_t") int cudaHostUnregister(Pointer ptr);
/**
* \brief Passes back device pointer of mapped host memory allocated by
* cudaHostAlloc or registered by cudaHostRegister
*
* Passes back the device pointer corresponding to the mapped, pinned host
* buffer allocated by ::cudaHostAlloc() or registered by ::cudaHostRegister().
*
* ::cudaHostGetDevicePointer() will fail if the ::cudaDeviceMapHost flag was
* not specified before deferred context creation occurred, or if called on a
* device that does not support mapped, pinned memory.
*
* \p flags provides for future releases. For now, it must be set to 0.
*
* @param pDevice - Returned device pointer for mapped memory
* @param pHost - Requested host pointer mapping
* @param flags - Flags for extensions (must be 0 for now)
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaSetDeviceFlags, ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaHostGetDevicePointer(@Cast("void**") PointerPointer pDevice, Pointer pHost, @Cast("unsigned int") int flags);
public static native @Cast("cudaError_t") int cudaHostGetDevicePointer(@Cast("void**") @ByPtrPtr Pointer pDevice, Pointer pHost, @Cast("unsigned int") int flags);
/**
* \brief Passes back flags used to allocate pinned host memory allocated by
* cudaHostAlloc
*
* ::cudaHostGetFlags() will fail if the input pointer does not
* reside in an address range allocated by ::cudaHostAlloc().
*
* @param pFlags - Returned flags word
* @param pHost - Host pointer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaHostAlloc
*/
public static native @Cast("cudaError_t") int cudaHostGetFlags(@Cast("unsigned int*") IntPointer pFlags, Pointer pHost);
public static native @Cast("cudaError_t") int cudaHostGetFlags(@Cast("unsigned int*") IntBuffer pFlags, Pointer pHost);
public static native @Cast("cudaError_t") int cudaHostGetFlags(@Cast("unsigned int*") int[] pFlags, Pointer pHost);
/**
* \brief Allocates logical 1D, 2D, or 3D memory objects on the device
*
* Allocates at least \p width * \p height * \p depth bytes of linear memory
* on the device and returns a ::cudaPitchedPtr in which \p ptr is a pointer
* to the allocated memory. The function may pad the allocation to ensure
* hardware alignment requirements are met. The pitch returned in the \p pitch
* field of \p pitchedDevPtr is the width in bytes of the allocation.
*
* The returned ::cudaPitchedPtr contains additional fields \p xsize and
* \p ysize, the logical width and height of the allocation, which are
* equivalent to the \p width and \p height \p extent parameters provided by
* the programmer during allocation.
*
* For allocations of 2D and 3D objects, it is highly recommended that
* programmers perform allocations using ::cudaMalloc3D() or
* ::cudaMallocPitch(). Due to alignment restrictions in the hardware, this is
* especially true if the application will be performing memory copies
* involving 2D or 3D objects (whether linear memory or CUDA arrays).
*
* @param pitchedDevPtr - Pointer to allocated pitched device memory
* @param extent - Requested allocation size (\p width field in bytes)
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaMallocPitch, ::cudaFree, ::cudaMemcpy3D, ::cudaMemset3D,
* ::cudaMalloc3DArray, ::cudaMallocArray, ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc, ::make_cudaPitchedPtr, ::make_cudaExtent
*/
public static native @Cast("cudaError_t") int cudaMalloc3D(cudaPitchedPtr pitchedDevPtr, @ByVal cudaExtent extent);
/**
* \brief Allocate an array on the device
*
* Allocates a CUDA array according to the ::cudaChannelFormatDesc structure
* \p desc and returns a handle to the new CUDA array in \p *array.
*
* The ::cudaChannelFormatDesc is defined as:
* {@code
struct cudaChannelFormatDesc {
int x, y, z, w;
enum cudaChannelFormatKind f;
};
}
* where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned,
* ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat.
*
* ::cudaMalloc3DArray() can allocate the following:
*
* - A 1D array is allocated if the height and depth extents are both zero.
* - A 2D array is allocated if only the depth extent is zero.
* - A 3D array is allocated if all three extents are non-zero.
* - A 1D layered CUDA array is allocated if only the height extent is zero and
* the cudaArrayLayered flag is set. Each layer is a 1D array. The number of layers is
* determined by the depth extent.
* - A 2D layered CUDA array is allocated if all three extents are non-zero and
* the cudaArrayLayered flag is set. Each layer is a 2D array. The number of layers is
* determined by the depth extent.
* - A cubemap CUDA array is allocated if all three extents are non-zero and the
* cudaArrayCubemap flag is set. Width must be equal to height, and depth must be six. A cubemap is
* a special type of 2D layered CUDA array, where the six layers represent the six faces of a cube.
* The order of the six layers in memory is the same as that listed in ::cudaGraphicsCubeFace.
* - A cubemap layered CUDA array is allocated if all three extents are non-zero, and both,
* cudaArrayCubemap and cudaArrayLayered flags are set. Width must be equal to height, and depth must be
* a multiple of six. A cubemap layered CUDA array is a special type of 2D layered CUDA array that consists
* of a collection of cubemaps. The first six layers represent the first cubemap, the next six layers form
* the second cubemap, and so on.
*
*
* The \p flags parameter enables different options to be specified that affect
* the allocation, as follows.
* - ::cudaArrayDefault: This flag's value is defined to be 0 and provides default array allocation
* - ::cudaArrayLayered: Allocates a layered CUDA array, with the depth extent indicating the number of layers
* - ::cudaArrayCubemap: Allocates a cubemap CUDA array. Width must be equal to height, and depth must be six.
* If the cudaArrayLayered flag is also set, depth must be a multiple of six.
* - ::cudaArraySurfaceLoadStore: Allocates a CUDA array that could be read from or written to using a surface
* reference.
* - ::cudaArrayTextureGather: This flag indicates that texture gather operations will be performed on the CUDA
* array. Texture gather can only be performed on 2D CUDA arrays.
*
* The width, height and depth extents must meet certain size requirements as listed in the following table.
* All values are specified in elements.
*
* Note that 2D CUDA arrays have different size requirements if the ::cudaArrayTextureGather flag is set. In that
* case, the valid range for (width, height, depth) is ((1,maxTexture2DGather[0]), (1,maxTexture2DGather[1]), 0).
*
* \xmlonly
*
*
*
* CUDA array type
* Valid extents that must always be met {(width range in elements),
* (height range), (depth range)}
* Valid extents with cudaArraySurfaceLoadStore set {(width range in
* elements), (height range), (depth range)}
*
*
*
*
* 1D
* { (1,maxTexture1D), 0, 0 }
* { (1,maxSurface1D), 0, 0 }
*
*
* 2D
* { (1,maxTexture2D[0]), (1,maxTexture2D[1]), 0 }
* { (1,maxSurface2D[0]), (1,maxSurface2D[1]), 0 }
*
*
* 3D
* { (1,maxTexture3D[0]), (1,maxTexture3D[1]), (1,maxTexture3D[2]) }
* OR { (1,maxTexture3DAlt[0]), (1,maxTexture3DAlt[1]),
* (1,maxTexture3DAlt[2]) }
* { (1,maxSurface3D[0]), (1,maxSurface3D[1]), (1,maxSurface3D[2]) }
*
*
* 1D Layered
* { (1,maxTexture1DLayered[0]), 0, (1,maxTexture1DLayered[1]) }
* { (1,maxSurface1DLayered[0]), 0, (1,maxSurface1DLayered[1]) }
*
*
* 2D Layered
* { (1,maxTexture2DLayered[0]), (1,maxTexture2DLayered[1]),
* (1,maxTexture2DLayered[2]) }
* { (1,maxSurface2DLayered[0]), (1,maxSurface2DLayered[1]),
* (1,maxSurface2DLayered[2]) }
*
*
* Cubemap
* { (1,maxTextureCubemap), (1,maxTextureCubemap), 6 }
* { (1,maxSurfaceCubemap), (1,maxSurfaceCubemap), 6 }
*
*
* Cubemap Layered
* { (1,maxTextureCubemapLayered[0]), (1,maxTextureCubemapLayered[0]),
* (1,maxTextureCubemapLayered[1]) }
* { (1,maxSurfaceCubemapLayered[0]), (1,maxSurfaceCubemapLayered[0]),
* (1,maxSurfaceCubemapLayered[1]) }
*
*
*
*
* \endxmlonly
*
* @param array - Pointer to allocated array in device memory
* @param desc - Requested channel format
* @param extent - Requested allocation size (\p width field in elements)
* @param flags - Flags for extensions
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaMalloc3D, ::cudaMalloc, ::cudaMallocPitch, ::cudaFree,
* ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc,
* ::make_cudaExtent
*/
public static native @Cast("cudaError_t") int cudaMalloc3DArray(@ByPtrPtr cudaArray array, @Const cudaChannelFormatDesc desc, @ByVal cudaExtent extent, @Cast("unsigned int") int flags/*=0*/);
public static native @Cast("cudaError_t") int cudaMalloc3DArray(@ByPtrPtr cudaArray array, @Const cudaChannelFormatDesc desc, @ByVal cudaExtent extent);
/**
* \brief Allocate a mipmapped array on the device
*
* Allocates a CUDA mipmapped array according to the ::cudaChannelFormatDesc structure
* \p desc and returns a handle to the new CUDA mipmapped array in \p *mipmappedArray.
* \p numLevels specifies the number of mipmap levels to be allocated. This value is
* clamped to the range [1, 1 + floor(log2(max(width, height, depth)))].
*
* The ::cudaChannelFormatDesc is defined as:
* {@code
struct cudaChannelFormatDesc {
int x, y, z, w;
enum cudaChannelFormatKind f;
};
}
* where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned,
* ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat.
*
* ::cudaMallocMipmappedArray() can allocate the following:
*
* - A 1D mipmapped array is allocated if the height and depth extents are both zero.
* - A 2D mipmapped array is allocated if only the depth extent is zero.
* - A 3D mipmapped array is allocated if all three extents are non-zero.
* - A 1D layered CUDA mipmapped array is allocated if only the height extent is zero and
* the cudaArrayLayered flag is set. Each layer is a 1D mipmapped array. The number of layers is
* determined by the depth extent.
* - A 2D layered CUDA mipmapped array is allocated if all three extents are non-zero and
* the cudaArrayLayered flag is set. Each layer is a 2D mipmapped array. The number of layers is
* determined by the depth extent.
* - A cubemap CUDA mipmapped array is allocated if all three extents are non-zero and the
* cudaArrayCubemap flag is set. Width must be equal to height, and depth must be six.
* The order of the six layers in memory is the same as that listed in ::cudaGraphicsCubeFace.
* - A cubemap layered CUDA mipmapped array is allocated if all three extents are non-zero, and both,
* cudaArrayCubemap and cudaArrayLayered flags are set. Width must be equal to height, and depth must be
* a multiple of six. A cubemap layered CUDA mipmapped array is a special type of 2D layered CUDA mipmapped
* array that consists of a collection of cubemap mipmapped arrays. The first six layers represent the
* first cubemap mipmapped array, the next six layers form the second cubemap mipmapped array, and so on.
*
*
* The \p flags parameter enables different options to be specified that affect
* the allocation, as follows.
* - ::cudaArrayDefault: This flag's value is defined to be 0 and provides default mipmapped array allocation
* - ::cudaArrayLayered: Allocates a layered CUDA mipmapped array, with the depth extent indicating the number of layers
* - ::cudaArrayCubemap: Allocates a cubemap CUDA mipmapped array. Width must be equal to height, and depth must be six.
* If the cudaArrayLayered flag is also set, depth must be a multiple of six.
* - ::cudaArraySurfaceLoadStore: This flag indicates that individual mipmap levels of the CUDA mipmapped array
* will be read from or written to using a surface reference.
* - ::cudaArrayTextureGather: This flag indicates that texture gather operations will be performed on the CUDA
* array. Texture gather can only be performed on 2D CUDA mipmapped arrays, and the gather operations are
* performed only on the most detailed mipmap level.
*
* The width, height and depth extents must meet certain size requirements as listed in the following table.
* All values are specified in elements.
*
* \xmlonly
*
*
*
* CUDA array type
* Valid extents {(width range in elements), (height range), (depth
* range)}
*
*
*
*
* 1D
* { (1,maxTexture1DMipmap), 0, 0 }
*
*
* 2D
* { (1,maxTexture2DMipmap[0]), (1,maxTexture2DMipmap[1]), 0 }
*
*
* 3D
* { (1,maxTexture3D[0]), (1,maxTexture3D[1]), (1,maxTexture3D[2]) }
*
*
* 1D Layered
* { (1,maxTexture1DLayered[0]), 0, (1,maxTexture1DLayered[1]) }
*
*
* 2D Layered
* { (1,maxTexture2DLayered[0]), (1,maxTexture2DLayered[1]),
* (1,maxTexture2DLayered[2]) }
*
*
* Cubemap
* { (1,maxTextureCubemap), (1,maxTextureCubemap), 6 }
*
*
* Cubemap Layered
* { (1,maxTextureCubemapLayered[0]), (1,maxTextureCubemapLayered[0]),
* (1,maxTextureCubemapLayered[1]) }
*
*
*
*
* \endxmlonly
*
* @param mipmappedArray - Pointer to allocated mipmapped array in device memory
* @param desc - Requested channel format
* @param extent - Requested allocation size (\p width field in elements)
* @param numLevels - Number of mipmap levels to allocate
* @param flags - Flags for extensions
*
* @return
* ::cudaSuccess,
* ::cudaErrorMemoryAllocation
* \notefnerr
*
* \sa ::cudaMalloc3D, ::cudaMalloc, ::cudaMallocPitch, ::cudaFree,
* ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc,
* ::make_cudaExtent
*/
public static native @Cast("cudaError_t") int cudaMallocMipmappedArray(@ByPtrPtr cudaMipmappedArray mipmappedArray, @Const cudaChannelFormatDesc desc, @ByVal cudaExtent extent, @Cast("unsigned int") int numLevels, @Cast("unsigned int") int flags/*=0*/);
public static native @Cast("cudaError_t") int cudaMallocMipmappedArray(@ByPtrPtr cudaMipmappedArray mipmappedArray, @Const cudaChannelFormatDesc desc, @ByVal cudaExtent extent, @Cast("unsigned int") int numLevels);
/**
* \brief Gets a mipmap level of a CUDA mipmapped array
*
* Returns in \p *levelArray a CUDA array that represents a single mipmap level
* of the CUDA mipmapped array \p mipmappedArray.
*
* If \p level is greater than the maximum number of levels in this mipmapped array,
* ::cudaErrorInvalidValue is returned.
*
* @param levelArray - Returned mipmap level CUDA array
* @param mipmappedArray - CUDA mipmapped array
* @param level - Mipmap level
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaMalloc3D, ::cudaMalloc, ::cudaMallocPitch, ::cudaFree,
* ::cudaFreeArray,
* \ref ::cudaMallocHost(void**, size_t) "cudaMallocHost (C API)",
* ::cudaFreeHost, ::cudaHostAlloc,
* ::make_cudaExtent
*/
public static native @Cast("cudaError_t") int cudaGetMipmappedArrayLevel(@ByPtrPtr cudaArray levelArray, cudaMipmappedArray mipmappedArray, @Cast("unsigned int") int level);
/**
* \brief Copies data between 3D objects
*
{@code
struct cudaExtent {
size_t width;
size_t height;
size_t depth;
};
struct cudaExtent make_cudaExtent(size_t w, size_t h, size_t d);
struct cudaPos {
size_t x;
size_t y;
size_t z;
};
struct cudaPos make_cudaPos(size_t x, size_t y, size_t z);
struct cudaMemcpy3DParms {
cudaArray_t srcArray;
struct cudaPos srcPos;
struct cudaPitchedPtr srcPtr;
cudaArray_t dstArray;
struct cudaPos dstPos;
struct cudaPitchedPtr dstPtr;
struct cudaExtent extent;
enum cudaMemcpyKind kind;
};
}
*
* ::cudaMemcpy3D() copies data betwen two 3D objects. The source and
* destination objects may be in either host memory, device memory, or a CUDA
* array. The source, destination, extent, and kind of copy performed is
* specified by the ::cudaMemcpy3DParms struct which should be initialized to
* zero before use:
{@code
cudaMemcpy3DParms myParms = {0};
}
*
* The struct passed to ::cudaMemcpy3D() must specify one of \p srcArray or
* \p srcPtr and one of \p dstArray or \p dstPtr. Passing more than one
* non-zero source or destination will cause ::cudaMemcpy3D() to return an
* error.
*
* The \p srcPos and \p dstPos fields are optional offsets into the source and
* destination objects and are defined in units of each object's elements. The
* element for a host or device pointer is assumed to be unsigned char.
* For CUDA arrays, positions must be in the range [0, 2048) for any
* dimension.
*
* The \p extent field defines the dimensions of the transferred area in
* elements. If a CUDA array is participating in the copy, the extent is
* defined in terms of that array's elements. If no CUDA array is
* participating in the copy then the extents are defined in elements of
* unsigned char.
*
* The \p kind field defines the direction of the copy. It must be one of
* ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost,
* or ::cudaMemcpyDeviceToDevice.
*
* If the source and destination are both arrays, ::cudaMemcpy3D() will return
* an error if they do not have the same element size.
*
* The source and destination object may not overlap. If overlapping source
* and destination objects are specified, undefined behavior will result.
*
* The source object must lie entirely within the region defined by \p srcPos
* and \p extent. The destination object must lie entirely within the region
* defined by \p dstPos and \p extent.
*
* ::cudaMemcpy3D() returns an error if the pitch of \p srcPtr or \p dstPtr
* exceeds the maximum allowed. The pitch of a ::cudaPitchedPtr allocated
* with ::cudaMalloc3D() will always be valid.
*
* @param p - 3D memory copy parameters
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
*
* \sa ::cudaMalloc3D, ::cudaMalloc3DArray, ::cudaMemset3D, ::cudaMemcpy3DAsync,
* ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync,
* ::make_cudaExtent, ::make_cudaPos
*/
public static native @Cast("cudaError_t") int cudaMemcpy3D(@Const cudaMemcpy3DParms p);
/**
* \brief Copies memory between devices
*
* Perform a 3D memory copy according to the parameters specified in
* \p p. See the definition of the ::cudaMemcpy3DPeerParms structure
* for documentation of its parameters.
*
* Note that this function is synchronous with respect to the host only if
* the source or destination of the transfer is host memory. Note also
* that this copy is serialized with respect to all pending and future
* asynchronous work in to the current device, the copy's source device,
* and the copy's destination device (use ::cudaMemcpy3DPeerAsync to avoid
* this synchronization).
*
* @param p - Parameters for the memory copy
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, ::cudaMemcpyPeerAsync,
* ::cudaMemcpy3DPeerAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy3DPeer(@Const cudaMemcpy3DPeerParms p);
/**
* \brief Copies data between 3D objects
*
{@code
struct cudaExtent {
size_t width;
size_t height;
size_t depth;
};
struct cudaExtent make_cudaExtent(size_t w, size_t h, size_t d);
struct cudaPos {
size_t x;
size_t y;
size_t z;
};
struct cudaPos make_cudaPos(size_t x, size_t y, size_t z);
struct cudaMemcpy3DParms {
cudaArray_t srcArray;
struct cudaPos srcPos;
struct cudaPitchedPtr srcPtr;
cudaArray_t dstArray;
struct cudaPos dstPos;
struct cudaPitchedPtr dstPtr;
struct cudaExtent extent;
enum cudaMemcpyKind kind;
};
}
*
* ::cudaMemcpy3DAsync() copies data betwen two 3D objects. The source and
* destination objects may be in either host memory, device memory, or a CUDA
* array. The source, destination, extent, and kind of copy performed is
* specified by the ::cudaMemcpy3DParms struct which should be initialized to
* zero before use:
{@code
cudaMemcpy3DParms myParms = {0};
}
*
* The struct passed to ::cudaMemcpy3DAsync() must specify one of \p srcArray
* or \p srcPtr and one of \p dstArray or \p dstPtr. Passing more than one
* non-zero source or destination will cause ::cudaMemcpy3DAsync() to return an
* error.
*
* The \p srcPos and \p dstPos fields are optional offsets into the source and
* destination objects and are defined in units of each object's elements. The
* element for a host or device pointer is assumed to be unsigned char.
* For CUDA arrays, positions must be in the range [0, 2048) for any
* dimension.
*
* The \p extent field defines the dimensions of the transferred area in
* elements. If a CUDA array is participating in the copy, the extent is
* defined in terms of that array's elements. If no CUDA array is
* participating in the copy then the extents are defined in elements of
* unsigned char.
*
* The \p kind field defines the direction of the copy. It must be one of
* ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost,
* or ::cudaMemcpyDeviceToDevice.
*
* If the source and destination are both arrays, ::cudaMemcpy3DAsync() will
* return an error if they do not have the same element size.
*
* The source and destination object may not overlap. If overlapping source
* and destination objects are specified, undefined behavior will result.
*
* The source object must lie entirely within the region defined by \p srcPos
* and \p extent. The destination object must lie entirely within the region
* defined by \p dstPos and \p extent.
*
* ::cudaMemcpy3DAsync() returns an error if the pitch of \p srcPtr or
* \p dstPtr exceeds the maximum allowed. The pitch of a
* ::cudaPitchedPtr allocated with ::cudaMalloc3D() will always be valid.
*
* ::cudaMemcpy3DAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally
* be associated to a stream by passing a non-zero \p stream argument. If
* \p kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream
* is non-zero, the copy may overlap with operations in other streams.
*
* The device version of this function only handles device to device copies and
* cannot be given local or shared pointers.
*
* @param p - 3D memory copy parameters
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMalloc3D, ::cudaMalloc3DArray, ::cudaMemset3D, ::cudaMemcpy3D,
* ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync,
* ::make_cudaExtent, ::make_cudaPos
*/
public static native @Cast("cudaError_t") int cudaMemcpy3DAsync(@Const cudaMemcpy3DParms p, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpy3DAsync(@Const cudaMemcpy3DParms p);
/**
* \brief Copies memory between devices asynchronously.
*
* Perform a 3D memory copy according to the parameters specified in
* \p p. See the definition of the ::cudaMemcpy3DPeerParms structure
* for documentation of its parameters.
*
* @param p - Parameters for the memory copy
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync, ::cudaMemcpyPeerAsync,
* ::cudaMemcpy3DPeerAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy3DPeerAsync(@Const cudaMemcpy3DPeerParms p, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpy3DPeerAsync(@Const cudaMemcpy3DPeerParms p);
/**
* \brief Gets free and total device memory
*
* Returns in \p *free and \p *total respectively, the free and total amount of
* memory available for allocation by the device in bytes.
*
* @param free - Returned free memory in bytes
* @param total - Returned total memory in bytes
*
* @return
* ::cudaSuccess,
* ::cudaErrorInitializationError,
* ::cudaErrorInvalidValue,
* ::cudaErrorLaunchFailure
* \notefnerr
*
*/
public static native @Cast("cudaError_t") int cudaMemGetInfo(@Cast("size_t*") SizeTPointer free, @Cast("size_t*") SizeTPointer total);
/**
* \brief Gets info about the specified cudaArray
*
* Returns in \p *desc, \p *extent and \p *flags respectively, the type, shape
* and flags of \p array.
*
* Any of \p *desc, \p *extent and \p *flags may be specified as NULL.
*
* @param desc - Returned array type
* @param extent - Returned array shape. 2D arrays will have depth of zero
* @param flags - Returned array flags
* @param array - The ::cudaArray to get info for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
*/
public static native @Cast("cudaError_t") int cudaArrayGetInfo(cudaChannelFormatDesc desc, cudaExtent extent, @Cast("unsigned int*") IntPointer flags, cudaArray array);
public static native @Cast("cudaError_t") int cudaArrayGetInfo(cudaChannelFormatDesc desc, cudaExtent extent, @Cast("unsigned int*") IntBuffer flags, cudaArray array);
public static native @Cast("cudaError_t") int cudaArrayGetInfo(cudaChannelFormatDesc desc, cudaExtent extent, @Cast("unsigned int*") int[] flags, cudaArray array);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the memory area pointed to by \p src to the
* memory area pointed to by \p dst, where \p kind is one of
* ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost,
* or ::cudaMemcpyDeviceToDevice, and specifies the direction of the copy. The
* memory areas may not overlap. Calling ::cudaMemcpy() with \p dst and \p src
* pointers that do not match the direction of the copy results in an
* undefined behavior.
*
* @param dst - Destination memory address
* @param src - Source memory address
* @param count - Size in bytes to copy
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
*
* \note_sync
*
* \sa ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy(Pointer dst, @Const Pointer src, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies memory between two devices
*
* Copies memory from one device to memory on another device. \p dst is the
* base device pointer of the destination memory and \p dstDevice is the
* destination device. \p src is the base device pointer of the source memory
* and \p srcDevice is the source device. \p count specifies the number of bytes
* to copy.
*
* Note that this function is asynchronous with respect to the host, but
* serialized with respect all pending and future asynchronous work in to the
* current device, \p srcDevice, and \p dstDevice (use ::cudaMemcpyPeerAsync
* to avoid this synchronization).
*
* @param dst - Destination device pointer
* @param dstDevice - Destination device
* @param src - Source device pointer
* @param srcDevice - Source device
* @param count - Size of memory copy in bytes
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpyAsync, ::cudaMemcpyPeerAsync,
* ::cudaMemcpy3DPeerAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyPeer(Pointer dst, int dstDevice, @Const Pointer src, int srcDevice, @Cast("size_t") long count);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the memory area pointed to by \p src to the
* CUDA array \p dst starting at the upper left corner
* (\p wOffset, \p hOffset), where \p kind is one of ::cudaMemcpyHostToHost,
* ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, or
* ::cudaMemcpyDeviceToDevice, and specifies the direction of the copy.
*
* @param dst - Destination memory address
* @param wOffset - Destination starting X offset
* @param hOffset - Destination starting Y offset
* @param src - Source memory address
* @param count - Size in bytes to copy
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyToArray(cudaArray dst, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Const Pointer src, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the CUDA array \p src starting at the upper
* left corner (\p wOffset, hOffset) to the memory area pointed to by \p dst,
* where \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy.
*
* @param dst - Destination memory address
* @param src - Source memory address
* @param wOffset - Source starting X offset
* @param hOffset - Source starting Y offset
* @param count - Size in bytes to copy
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyFromArray(Pointer dst, cudaArray src, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the CUDA array \p src starting at the upper
* left corner (\p wOffsetSrc, \p hOffsetSrc) to the CUDA array \p dst
* starting at the upper left corner (\p wOffsetDst, \p hOffsetDst) where
* \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy.
*
* @param dst - Destination memory address
* @param wOffsetDst - Destination starting X offset
* @param hOffsetDst - Destination starting Y offset
* @param src - Source memory address
* @param wOffsetSrc - Source starting X offset
* @param hOffsetSrc - Source starting Y offset
* @param count - Size in bytes to copy
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyArrayToArray(cudaArray dst, @Cast("size_t") long wOffsetDst, @Cast("size_t") long hOffsetDst, cudaArray src, @Cast("size_t") long wOffsetSrc, @Cast("size_t") long hOffsetSrc, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind/*=cudaMemcpyDeviceToDevice*/);
public static native @Cast("cudaError_t") int cudaMemcpyArrayToArray(cudaArray dst, @Cast("size_t") long wOffsetDst, @Cast("size_t") long hOffsetDst, cudaArray src, @Cast("size_t") long wOffsetSrc, @Cast("size_t") long hOffsetSrc, @Cast("size_t") long count);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the memory
* area pointed to by \p src to the memory area pointed to by \p dst, where
* \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy. \p dpitch and \p spitch are the widths in memory in
* bytes of the 2D arrays pointed to by \p dst and \p src, including any
* padding added to the end of each row. The memory areas may not overlap.
* \p width must not exceed either \p dpitch or \p spitch.
* Calling ::cudaMemcpy2D() with \p dst and \p src pointers that do not match
* the direction of the copy results in an undefined behavior.
* ::cudaMemcpy2D() returns an error if \p dpitch or \p spitch exceeds
* the maximum allowed.
*
* @param dst - Destination memory address
* @param dpitch - Pitch of destination memory
* @param src - Source memory address
* @param spitch - Pitch of source memory
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
*
* \sa ::cudaMemcpy, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2D(Pointer dst, @Cast("size_t") long dpitch, @Const Pointer src, @Cast("size_t") long spitch, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the memory
* area pointed to by \p src to the CUDA array \p dst starting at the
* upper left corner (\p wOffset, \p hOffset) where \p kind is one of
* ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost,
* or ::cudaMemcpyDeviceToDevice, and specifies the direction of the copy.
* \p spitch is the width in memory in bytes of the 2D array pointed to by
* \p src, including any padding added to the end of each row. \p wOffset +
* \p width must not exceed the width of the CUDA array \p dst. \p width must
* not exceed \p spitch. ::cudaMemcpy2DToArray() returns an error if \p spitch
* exceeds the maximum allowed.
*
* @param dst - Destination memory address
* @param wOffset - Destination starting X offset
* @param hOffset - Destination starting Y offset
* @param src - Source memory address
* @param spitch - Pitch of source memory
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2DToArray(cudaArray dst, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Const Pointer src, @Cast("size_t") long spitch, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the CUDA
* array \p srcArray starting at the upper left corner
* (\p wOffset, \p hOffset) to the memory area pointed to by \p dst, where
* \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy. \p dpitch is the width in memory in bytes of the 2D
* array pointed to by \p dst, including any padding added to the end of each
* row. \p wOffset + \p width must not exceed the width of the CUDA array
* \p src. \p width must not exceed \p dpitch. ::cudaMemcpy2DFromArray()
* returns an error if \p dpitch exceeds the maximum allowed.
*
* @param dst - Destination memory address
* @param dpitch - Pitch of destination memory
* @param src - Source memory address
* @param wOffset - Source starting X offset
* @param hOffset - Source starting Y offset
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2DFromArray(Pointer dst, @Cast("size_t") long dpitch, cudaArray src, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the CUDA
* array \p srcArray starting at the upper left corner
* (\p wOffsetSrc, \p hOffsetSrc) to the CUDA array \p dst starting at
* the upper left corner (\p wOffsetDst, \p hOffsetDst), where \p kind is one
* of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy. \p wOffsetDst + \p width must not exceed the width
* of the CUDA array \p dst. \p wOffsetSrc + \p width must not exceed the width
* of the CUDA array \p src.
*
* @param dst - Destination memory address
* @param wOffsetDst - Destination starting X offset
* @param hOffsetDst - Destination starting Y offset
* @param src - Source memory address
* @param wOffsetSrc - Source starting X offset
* @param hOffsetSrc - Source starting Y offset
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2DArrayToArray(cudaArray dst, @Cast("size_t") long wOffsetDst, @Cast("size_t") long hOffsetDst, cudaArray src, @Cast("size_t") long wOffsetSrc, @Cast("size_t") long hOffsetSrc, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind/*=cudaMemcpyDeviceToDevice*/);
public static native @Cast("cudaError_t") int cudaMemcpy2DArrayToArray(cudaArray dst, @Cast("size_t") long wOffsetDst, @Cast("size_t") long hOffsetDst, cudaArray src, @Cast("size_t") long wOffsetSrc, @Cast("size_t") long hOffsetSrc, @Cast("size_t") long width, @Cast("size_t") long height);
/**
* \brief Copies data to the given symbol on the device
*
* Copies \p count bytes from the memory area pointed to by \p src
* to the memory area pointed to by \p offset bytes from the start of symbol
* \p symbol. The memory areas may not overlap. \p symbol is a variable that
* resides in global or constant memory space. \p kind can be either
* ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToDevice.
*
* @param symbol - Device symbol address
* @param src - Source memory address
* @param count - Size in bytes to copy
* @param offset - Offset from start of symbol in bytes
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidSymbol,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
* \note_string_api_deprecation
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyToSymbol(@Const Pointer symbol, @Const Pointer src, @Cast("size_t") long count, @Cast("size_t") long offset/*=0*/, @Cast("cudaMemcpyKind") int kind/*=cudaMemcpyHostToDevice*/);
public static native @Cast("cudaError_t") int cudaMemcpyToSymbol(@Const Pointer symbol, @Const Pointer src, @Cast("size_t") long count);
/**
* \brief Copies data from the given symbol on the device
*
* Copies \p count bytes from the memory area pointed to by \p offset bytes
* from the start of symbol \p symbol to the memory area pointed to by \p dst.
* The memory areas may not overlap. \p symbol is a variable that
* resides in global or constant memory space. \p kind can be either
* ::cudaMemcpyDeviceToHost or ::cudaMemcpyDeviceToDevice.
*
* @param dst - Destination memory address
* @param symbol - Device symbol address
* @param count - Size in bytes to copy
* @param offset - Offset from start of symbol in bytes
* @param kind - Type of transfer
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidSymbol,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_sync
* \note_string_api_deprecation
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyFromSymbol(Pointer dst, @Const Pointer symbol, @Cast("size_t") long count, @Cast("size_t") long offset/*=0*/, @Cast("cudaMemcpyKind") int kind/*=cudaMemcpyDeviceToHost*/);
public static native @Cast("cudaError_t") int cudaMemcpyFromSymbol(Pointer dst, @Const Pointer symbol, @Cast("size_t") long count);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the memory area pointed to by \p src to the
* memory area pointed to by \p dst, where \p kind is one of
* ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost,
* or ::cudaMemcpyDeviceToDevice, and specifies the direction of the copy. The
* memory areas may not overlap. Calling ::cudaMemcpyAsync() with \p dst and
* \p src pointers that do not match the direction of the copy results in an
* undefined behavior.
*
* ::cudaMemcpyAsync() is asynchronous with respect to the host, so the call
* may return before the copy is complete. The copy can optionally be
* associated to a stream by passing a non-zero \p stream argument. If \p kind
* is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and the \p stream is
* non-zero, the copy may overlap with operations in other streams.
*
* The device version of this function only handles device to device copies and
* cannot be given local or shared pointers.
*
* @param dst - Destination memory address
* @param src - Source memory address
* @param count - Size in bytes to copy
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyAsync(Pointer dst, @Const Pointer src, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpyAsync(Pointer dst, @Const Pointer src, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies memory between two devices asynchronously.
*
* Copies memory from one device to memory on another device. \p dst is the
* base device pointer of the destination memory and \p dstDevice is the
* destination device. \p src is the base device pointer of the source memory
* and \p srcDevice is the source device. \p count specifies the number of bytes
* to copy.
*
* Note that this function is asynchronous with respect to the host and all work
* on other devices.
*
* @param dst - Destination device pointer
* @param dstDevice - Destination device
* @param src - Source device pointer
* @param srcDevice - Source device
* @param count - Size of memory copy in bytes
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevice
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpyPeer, ::cudaMemcpyAsync,
* ::cudaMemcpy3DPeerAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyPeerAsync(Pointer dst, int dstDevice, @Const Pointer src, int srcDevice, @Cast("size_t") long count, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpyPeerAsync(Pointer dst, int dstDevice, @Const Pointer src, int srcDevice, @Cast("size_t") long count);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the memory area pointed to by \p src to the
* CUDA array \p dst starting at the upper left corner
* (\p wOffset, \p hOffset), where \p kind is one of ::cudaMemcpyHostToHost,
* ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost, or
* ::cudaMemcpyDeviceToDevice, and specifies the direction of the copy.
*
* ::cudaMemcpyToArrayAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally
* be associated to a stream by passing a non-zero \p stream argument. If \p
* kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream
* is non-zero, the copy may overlap with operations in other streams.
*
* @param dst - Destination memory address
* @param wOffset - Destination starting X offset
* @param hOffset - Destination starting Y offset
* @param src - Source memory address
* @param count - Size in bytes to copy
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyToArrayAsync(cudaArray dst, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Const Pointer src, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpyToArrayAsync(cudaArray dst, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Const Pointer src, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies \p count bytes from the CUDA array \p src starting at the upper
* left corner (\p wOffset, hOffset) to the memory area pointed to by \p dst,
* where \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy.
*
* ::cudaMemcpyFromArrayAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally
* be associated to a stream by passing a non-zero \p stream argument. If \p
* kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream
* is non-zero, the copy may overlap with operations in other streams.
*
* @param dst - Destination memory address
* @param src - Source memory address
* @param wOffset - Source starting X offset
* @param hOffset - Source starting Y offset
* @param count - Size in bytes to copy
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyFromArrayAsync(Pointer dst, cudaArray src, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpyFromArrayAsync(Pointer dst, cudaArray src, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Cast("size_t") long count, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the memory
* area pointed to by \p src to the memory area pointed to by \p dst, where
* \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy. \p dpitch and \p spitch are the widths in memory in
* bytes of the 2D arrays pointed to by \p dst and \p src, including any
* padding added to the end of each row. The memory areas may not overlap.
* \p width must not exceed either \p dpitch or \p spitch.
* Calling ::cudaMemcpy2DAsync() with \p dst and \p src pointers that do not
* match the direction of the copy results in an undefined behavior.
* ::cudaMemcpy2DAsync() returns an error if \p dpitch or \p spitch is greater
* than the maximum allowed.
*
* ::cudaMemcpy2DAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally
* be associated to a stream by passing a non-zero \p stream argument. If
* \p kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and
* \p stream is non-zero, the copy may overlap with operations in other
* streams.
*
* The device version of this function only handles device to device copies and
* cannot be given local or shared pointers.
*
* @param dst - Destination memory address
* @param dpitch - Pitch of destination memory
* @param src - Source memory address
* @param spitch - Pitch of source memory
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2DAsync(Pointer dst, @Cast("size_t") long dpitch, @Const Pointer src, @Cast("size_t") long spitch, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpy2DAsync(Pointer dst, @Cast("size_t") long dpitch, @Const Pointer src, @Cast("size_t") long spitch, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the memory
* area pointed to by \p src to the CUDA array \p dst starting at the
* upper left corner (\p wOffset, \p hOffset) where \p kind is one of
* ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice, ::cudaMemcpyDeviceToHost,
* or ::cudaMemcpyDeviceToDevice, and specifies the direction of the copy.
* \p spitch is the width in memory in bytes of the 2D array pointed to by
* \p src, including any padding added to the end of each row. \p wOffset +
* \p width must not exceed the width of the CUDA array \p dst. \p width must
* not exceed \p spitch. ::cudaMemcpy2DToArrayAsync() returns an error if
* \p spitch exceeds the maximum allowed.
*
* ::cudaMemcpy2DToArrayAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally
* be associated to a stream by passing a non-zero \p stream argument. If
* \p kind is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and
* \p stream is non-zero, the copy may overlap with operations in other
* streams.
*
* @param dst - Destination memory address
* @param wOffset - Destination starting X offset
* @param hOffset - Destination starting Y offset
* @param src - Source memory address
* @param spitch - Pitch of source memory
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2DToArrayAsync(cudaArray dst, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Const Pointer src, @Cast("size_t") long spitch, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpy2DToArrayAsync(cudaArray dst, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Const Pointer src, @Cast("size_t") long spitch, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data between host and device
*
* Copies a matrix (\p height rows of \p width bytes each) from the CUDA
* array \p srcArray starting at the upper left corner
* (\p wOffset, \p hOffset) to the memory area pointed to by \p dst, where
* \p kind is one of ::cudaMemcpyHostToHost, ::cudaMemcpyHostToDevice,
* ::cudaMemcpyDeviceToHost, or ::cudaMemcpyDeviceToDevice, and specifies the
* direction of the copy. \p dpitch is the width in memory in bytes of the 2D
* array pointed to by \p dst, including any padding added to the end of each
* row. \p wOffset + \p width must not exceed the width of the CUDA array
* \p src. \p width must not exceed \p dpitch. ::cudaMemcpy2DFromArrayAsync()
* returns an error if \p dpitch exceeds the maximum allowed.
*
* ::cudaMemcpy2DFromArrayAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally be
* associated to a stream by passing a non-zero \p stream argument. If \p kind
* is ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToHost and \p stream is
* non-zero, the copy may overlap with operations in other streams.
*
* @param dst - Destination memory address
* @param dpitch - Pitch of destination memory
* @param src - Source memory address
* @param wOffset - Source starting X offset
* @param hOffset - Source starting Y offset
* @param width - Width of matrix transfer (columns in bytes)
* @param height - Height of matrix transfer (rows)
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidPitchValue,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync,
* ::cudaMemcpyToSymbolAsync, ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpy2DFromArrayAsync(Pointer dst, @Cast("size_t") long dpitch, cudaArray src, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpy2DFromArrayAsync(Pointer dst, @Cast("size_t") long dpitch, cudaArray src, @Cast("size_t") long wOffset, @Cast("size_t") long hOffset, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data to the given symbol on the device
*
* Copies \p count bytes from the memory area pointed to by \p src
* to the memory area pointed to by \p offset bytes from the start of symbol
* \p symbol. The memory areas may not overlap. \p symbol is a variable that
* resides in global or constant memory space. \p kind can be either
* ::cudaMemcpyHostToDevice or ::cudaMemcpyDeviceToDevice.
*
* ::cudaMemcpyToSymbolAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally
* be associated to a stream by passing a non-zero \p stream argument. If
* \p kind is ::cudaMemcpyHostToDevice and \p stream is non-zero, the copy
* may overlap with operations in other streams.
*
* @param symbol - Device symbol address
* @param src - Source memory address
* @param count - Size in bytes to copy
* @param offset - Offset from start of symbol in bytes
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidSymbol,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
* \note_string_api_deprecation
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyFromSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyToSymbolAsync(@Const Pointer symbol, @Const Pointer src, @Cast("size_t") long count, @Cast("size_t") long offset, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpyToSymbolAsync(@Const Pointer symbol, @Const Pointer src, @Cast("size_t") long count, @Cast("size_t") long offset, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Copies data from the given symbol on the device
*
* Copies \p count bytes from the memory area pointed to by \p offset bytes
* from the start of symbol \p symbol to the memory area pointed to by \p dst.
* The memory areas may not overlap. \p symbol is a variable that resides in
* global or constant memory space. \p kind can be either
* ::cudaMemcpyDeviceToHost or ::cudaMemcpyDeviceToDevice.
*
* ::cudaMemcpyFromSymbolAsync() is asynchronous with respect to the host, so
* the call may return before the copy is complete. The copy can optionally be
* associated to a stream by passing a non-zero \p stream argument. If \p kind
* is ::cudaMemcpyDeviceToHost and \p stream is non-zero, the copy may overlap
* with operations in other streams.
*
* @param dst - Destination memory address
* @param symbol - Device symbol address
* @param count - Size in bytes to copy
* @param offset - Offset from start of symbol in bytes
* @param kind - Type of transfer
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidSymbol,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidMemcpyDirection
* \notefnerr
* \note_async
* \note_null_stream
* \note_string_api_deprecation
*
* \sa ::cudaMemcpy, ::cudaMemcpy2D, ::cudaMemcpyToArray,
* ::cudaMemcpy2DToArray, ::cudaMemcpyFromArray, ::cudaMemcpy2DFromArray,
* ::cudaMemcpyArrayToArray, ::cudaMemcpy2DArrayToArray, ::cudaMemcpyToSymbol,
* ::cudaMemcpyFromSymbol, ::cudaMemcpyAsync, ::cudaMemcpy2DAsync,
* ::cudaMemcpyToArrayAsync, ::cudaMemcpy2DToArrayAsync,
* ::cudaMemcpyFromArrayAsync, ::cudaMemcpy2DFromArrayAsync,
* ::cudaMemcpyToSymbolAsync
*/
public static native @Cast("cudaError_t") int cudaMemcpyFromSymbolAsync(Pointer dst, @Const Pointer symbol, @Cast("size_t") long count, @Cast("size_t") long offset, @Cast("cudaMemcpyKind") int kind, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemcpyFromSymbolAsync(Pointer dst, @Const Pointer symbol, @Cast("size_t") long count, @Cast("size_t") long offset, @Cast("cudaMemcpyKind") int kind);
/**
* \brief Initializes or sets device memory to a value
*
* Fills the first \p count bytes of the memory area pointed to by \p devPtr
* with the constant byte value \p value.
*
* Note that this function is asynchronous with respect to the host unless
* \p devPtr refers to pinned host memory.
*
* @param devPtr - Pointer to device memory
* @param value - Value to set for each byte of specified memory
* @param count - Size in bytes to set
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer
* \notefnerr
* \note_memset
*
* \sa ::cudaMemset2D, ::cudaMemset3D, ::cudaMemsetAsync,
* ::cudaMemset2DAsync, ::cudaMemset3DAsync
*/
public static native @Cast("cudaError_t") int cudaMemset(Pointer devPtr, int value, @Cast("size_t") long count);
/**
* \brief Initializes or sets device memory to a value
*
* Sets to the specified value \p value a matrix (\p height rows of \p width
* bytes each) pointed to by \p dstPtr. \p pitch is the width in bytes of the
* 2D array pointed to by \p dstPtr, including any padding added to the end
* of each row. This function performs fastest when the pitch is one that has
* been passed back by ::cudaMallocPitch().
*
* Note that this function is asynchronous with respect to the host unless
* \p devPtr refers to pinned host memory.
*
* @param devPtr - Pointer to 2D device memory
* @param pitch - Pitch in bytes of 2D device memory
* @param value - Value to set for each byte of specified memory
* @param width - Width of matrix set (columns in bytes)
* @param height - Height of matrix set (rows)
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer
* \notefnerr
* \note_memset
*
* \sa ::cudaMemset, ::cudaMemset3D, ::cudaMemsetAsync,
* ::cudaMemset2DAsync, ::cudaMemset3DAsync
*/
public static native @Cast("cudaError_t") int cudaMemset2D(Pointer devPtr, @Cast("size_t") long pitch, int value, @Cast("size_t") long width, @Cast("size_t") long height);
/**
* \brief Initializes or sets device memory to a value
*
* Initializes each element of a 3D array to the specified value \p value.
* The object to initialize is defined by \p pitchedDevPtr. The \p pitch field
* of \p pitchedDevPtr is the width in memory in bytes of the 3D array pointed
* to by \p pitchedDevPtr, including any padding added to the end of each row.
* The \p xsize field specifies the logical width of each row in bytes, while
* the \p ysize field specifies the height of each 2D slice in rows.
*
* The extents of the initialized region are specified as a \p width in bytes,
* a \p height in rows, and a \p depth in slices.
*
* Extents with \p width greater than or equal to the \p xsize of
* \p pitchedDevPtr may perform significantly faster than extents narrower
* than the \p xsize. Secondarily, extents with \p height equal to the
* \p ysize of \p pitchedDevPtr will perform faster than when the \p height is
* shorter than the \p ysize.
*
* This function performs fastest when the \p pitchedDevPtr has been allocated
* by ::cudaMalloc3D().
*
* Note that this function is asynchronous with respect to the host unless
* \p pitchedDevPtr refers to pinned host memory.
*
* @param pitchedDevPtr - Pointer to pitched device memory
* @param value - Value to set for each byte of specified memory
* @param extent - Size parameters for where to set device memory (\p width field in bytes)
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer
* \notefnerr
* \note_memset
*
* \sa ::cudaMemset, ::cudaMemset2D,
* ::cudaMemsetAsync, ::cudaMemset2DAsync, ::cudaMemset3DAsync,
* ::cudaMalloc3D, ::make_cudaPitchedPtr,
* ::make_cudaExtent
*/
public static native @Cast("cudaError_t") int cudaMemset3D(@ByVal cudaPitchedPtr pitchedDevPtr, int value, @ByVal cudaExtent extent);
/**
* \brief Initializes or sets device memory to a value
*
* Fills the first \p count bytes of the memory area pointed to by \p devPtr
* with the constant byte value \p value.
*
* ::cudaMemsetAsync() is asynchronous with respect to the host, so
* the call may return before the memset is complete. The operation can optionally
* be associated to a stream by passing a non-zero \p stream argument.
* If \p stream is non-zero, the operation may overlap with operations in other streams.
*
* The device version of this function only handles device to device copies and
* cannot be given local or shared pointers.
*
* @param devPtr - Pointer to device memory
* @param value - Value to set for each byte of specified memory
* @param count - Size in bytes to set
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cudaMemset, ::cudaMemset2D, ::cudaMemset3D,
* ::cudaMemset2DAsync, ::cudaMemset3DAsync
*/
public static native @Cast("cudaError_t") int cudaMemsetAsync(Pointer devPtr, int value, @Cast("size_t") long count, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemsetAsync(Pointer devPtr, int value, @Cast("size_t") long count);
/**
* \brief Initializes or sets device memory to a value
*
* Sets to the specified value \p value a matrix (\p height rows of \p width
* bytes each) pointed to by \p dstPtr. \p pitch is the width in bytes of the
* 2D array pointed to by \p dstPtr, including any padding added to the end
* of each row. This function performs fastest when the pitch is one that has
* been passed back by ::cudaMallocPitch().
*
* ::cudaMemset2DAsync() is asynchronous with respect to the host, so
* the call may return before the memset is complete. The operation can optionally
* be associated to a stream by passing a non-zero \p stream argument.
* If \p stream is non-zero, the operation may overlap with operations in other streams.
*
* The device version of this function only handles device to device copies and
* cannot be given local or shared pointers.
*
* @param devPtr - Pointer to 2D device memory
* @param pitch - Pitch in bytes of 2D device memory
* @param value - Value to set for each byte of specified memory
* @param width - Width of matrix set (columns in bytes)
* @param height - Height of matrix set (rows)
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cudaMemset, ::cudaMemset2D, ::cudaMemset3D,
* ::cudaMemsetAsync, ::cudaMemset3DAsync
*/
public static native @Cast("cudaError_t") int cudaMemset2DAsync(Pointer devPtr, @Cast("size_t") long pitch, int value, @Cast("size_t") long width, @Cast("size_t") long height, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemset2DAsync(Pointer devPtr, @Cast("size_t") long pitch, int value, @Cast("size_t") long width, @Cast("size_t") long height);
/**
* \brief Initializes or sets device memory to a value
*
* Initializes each element of a 3D array to the specified value \p value.
* The object to initialize is defined by \p pitchedDevPtr. The \p pitch field
* of \p pitchedDevPtr is the width in memory in bytes of the 3D array pointed
* to by \p pitchedDevPtr, including any padding added to the end of each row.
* The \p xsize field specifies the logical width of each row in bytes, while
* the \p ysize field specifies the height of each 2D slice in rows.
*
* The extents of the initialized region are specified as a \p width in bytes,
* a \p height in rows, and a \p depth in slices.
*
* Extents with \p width greater than or equal to the \p xsize of
* \p pitchedDevPtr may perform significantly faster than extents narrower
* than the \p xsize. Secondarily, extents with \p height equal to the
* \p ysize of \p pitchedDevPtr will perform faster than when the \p height is
* shorter than the \p ysize.
*
* This function performs fastest when the \p pitchedDevPtr has been allocated
* by ::cudaMalloc3D().
*
* ::cudaMemset3DAsync() is asynchronous with respect to the host, so
* the call may return before the memset is complete. The operation can optionally
* be associated to a stream by passing a non-zero \p stream argument.
* If \p stream is non-zero, the operation may overlap with operations in other streams.
*
* The device version of this function only handles device to device copies and
* cannot be given local or shared pointers.
*
* @param pitchedDevPtr - Pointer to pitched device memory
* @param value - Value to set for each byte of specified memory
* @param extent - Size parameters for where to set device memory (\p width field in bytes)
* @param stream - Stream identifier
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer
* \notefnerr
* \note_memset
* \note_null_stream
*
* \sa ::cudaMemset, ::cudaMemset2D, ::cudaMemset3D,
* ::cudaMemsetAsync, ::cudaMemset2DAsync,
* ::cudaMalloc3D, ::make_cudaPitchedPtr,
* ::make_cudaExtent
*/
public static native @Cast("cudaError_t") int cudaMemset3DAsync(@ByVal cudaPitchedPtr pitchedDevPtr, int value, @ByVal cudaExtent extent, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaMemset3DAsync(@ByVal cudaPitchedPtr pitchedDevPtr, int value, @ByVal cudaExtent extent);
/**
* \brief Finds the address associated with a CUDA symbol
*
* Returns in \p *devPtr the address of symbol \p symbol on the device.
* \p symbol is a variable that resides in global or constant memory space.
* If \p symbol cannot be found, or if \p symbol is not declared in the
* global or constant memory space, \p *devPtr is unchanged and the error
* ::cudaErrorInvalidSymbol is returned.
*
* @param devPtr - Return device pointer associated with symbol
* @param symbol - Device symbol address
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidSymbol
* \notefnerr
* \note_string_api_deprecation
*
* \sa \ref ::cudaGetSymbolAddress(void**, const T&) "cudaGetSymbolAddress (C++ API)",
* \ref ::cudaGetSymbolSize(size_t*, const void*) "cudaGetSymbolSize (C API)"
*/
public static native @Cast("cudaError_t") int cudaGetSymbolAddress(@Cast("void**") PointerPointer devPtr, @Const Pointer symbol);
public static native @Cast("cudaError_t") int cudaGetSymbolAddress(@Cast("void**") @ByPtrPtr Pointer devPtr, @Const Pointer symbol);
/**
* \brief Finds the size of the object associated with a CUDA symbol
*
* Returns in \p *size the size of symbol \p symbol. \p symbol is a variable that
* resides in global or constant memory space. If \p symbol cannot be found, or
* if \p symbol is not declared in global or constant memory space, \p *size is
* unchanged and the error ::cudaErrorInvalidSymbol is returned.
*
* @param size - Size of object associated with symbol
* @param symbol - Device symbol address
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidSymbol
* \notefnerr
* \note_string_api_deprecation
*
* \sa \ref ::cudaGetSymbolAddress(void**, const void*) "cudaGetSymbolAddress (C API)",
* \ref ::cudaGetSymbolSize(size_t*, const T&) "cudaGetSymbolSize (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaGetSymbolSize(@Cast("size_t*") SizeTPointer size, @Const Pointer symbol);
/** \} */ /* END CUDART_MEMORY */
/**
* \defgroup CUDART_UNIFIED Unified Addressing
*
* ___MANBRIEF___ unified addressing functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the unified addressing functions of the CUDA
* runtime application programming interface.
*
* \{
*
* \section CUDART_UNIFIED_overview Overview
*
* CUDA devices can share a unified address space with the host.
* For these devices there is no distinction between a device
* pointer and a host pointer -- the same pointer value may be
* used to access memory from the host program and from a kernel
* running on the device (with exceptions enumerated below).
*
* \section CUDART_UNIFIED_support Supported Platforms
*
* Whether or not a device supports unified addressing may be
* queried by calling ::cudaGetDeviceProperties() with the device
* property ::cudaDeviceProp::unifiedAddressing.
*
* Unified addressing is automatically enabled in 64-bit processes .
*
* Unified addressing is not yet supported on Windows Vista or
* Windows 7 for devices that do not use the TCC driver model.
*
* \section CUDART_UNIFIED_lookup Looking Up Information from Pointer Values
*
* It is possible to look up information about the memory which backs a
* pointer value. For instance, one may want to know if a pointer points
* to host or device memory. As another example, in the case of device
* memory, one may want to know on which CUDA device the memory
* resides. These properties may be queried using the function
* ::cudaPointerGetAttributes()
*
* Since pointers are unique, it is not necessary to specify information
* about the pointers specified to ::cudaMemcpy() and other copy functions.
* The copy direction ::cudaMemcpyDefault may be used to specify that the
* CUDA runtime should infer the location of the pointer from its value.
*
* \section CUDART_UNIFIED_automaphost Automatic Mapping of Host Allocated Host Memory
*
* All host memory allocated through all devices using ::cudaMallocHost() and
* ::cudaHostAlloc() is always directly accessible from all devices that
* support unified addressing. This is the case regardless of whether or
* not the flags ::cudaHostAllocPortable and ::cudaHostAllocMapped are
* specified.
*
* The pointer value through which allocated host memory may be accessed
* in kernels on all devices that support unified addressing is the same
* as the pointer value through which that memory is accessed on the host.
* It is not necessary to call ::cudaHostGetDevicePointer() to get the device
* pointer for these allocations.
*
* Note that this is not the case for memory allocated using the flag
* ::cudaHostAllocWriteCombined, as discussed below.
*
* \section CUDART_UNIFIED_autopeerregister Direct Access of Peer Memory
* Upon enabling direct access from a device that supports unified addressing
* to another peer device that supports unified addressing using
* ::cudaDeviceEnablePeerAccess() all memory allocated in the peer device using
* ::cudaMalloc() and ::cudaMallocPitch() will immediately be accessible
* by the current device. The device pointer value through
* which any peer's memory may be accessed in the current device
* is the same pointer value through which that memory may be
* accessed from the peer device.
*
* \section CUDART_UNIFIED_exceptions Exceptions, Disjoint Addressing
*
* Not all memory may be accessed on devices through the same pointer
* value through which they are accessed on the host. These exceptions
* are host memory registered using ::cudaHostRegister() and host memory
* allocated using the flag ::cudaHostAllocWriteCombined. For these
* exceptions, there exists a distinct host and device address for the
* memory. The device address is guaranteed to not overlap any valid host
* pointer range and is guaranteed to have the same value across all devices
* that support unified addressing.
*
* This device address may be queried using ::cudaHostGetDevicePointer()
* when a device using unified addressing is current. Either the host
* or the unified device pointer value may be used to refer to this memory
* in ::cudaMemcpy() and similar functions using the ::cudaMemcpyDefault
* memory direction.
*
*/
/**
* \brief Returns attributes about a specified pointer
*
* Returns in \p *attributes the attributes of the pointer \p ptr.
* If pointer was not allocated in, mapped by or registered with context
* supporting unified addressing ::cudaErrorInvalidValue is returned.
*
* The ::cudaPointerAttributes structure is defined as:
* {@code
struct cudaPointerAttributes {
enum cudaMemoryType memoryType;
int device;
void *devicePointer;
void *hostPointer;
int isManaged;
}
}
* In this structure, the individual fields mean
*
* - \ref ::cudaPointerAttributes::memoryType "memoryType" identifies the physical
* location of the memory associated with pointer \p ptr. It can be
* ::cudaMemoryTypeHost for host memory or ::cudaMemoryTypeDevice for device
* memory.
*
* - \ref ::cudaPointerAttributes::device "device" is the device against which
* \p ptr was allocated. If \p ptr has memory type ::cudaMemoryTypeDevice
* then this identifies the device on which the memory referred to by \p ptr
* physically resides. If \p ptr has memory type ::cudaMemoryTypeHost then this
* identifies the device which was current when the allocation was made
* (and if that device is deinitialized then this allocation will vanish
* with that device's state).
*
* - \ref ::cudaPointerAttributes::devicePointer "devicePointer" is
* the device pointer alias through which the memory referred to by \p ptr
* may be accessed on the current device.
* If the memory referred to by \p ptr cannot be accessed directly by the
* current device then this is NULL.
*
* - \ref ::cudaPointerAttributes::hostPointer "hostPointer" is
* the host pointer alias through which the memory referred to by \p ptr
* may be accessed on the host.
* If the memory referred to by \p ptr cannot be accessed directly by the
* host then this is NULL.
*
* - \ref ::cudaPointerAttributes::isManaged "isManaged" indicates if
* the pointer \p ptr points to managed memory or not.
*
* @param attributes - Attributes for the specified pointer
* @param ptr - Pointer to get attributes for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice,
* ::cudaErrorInvalidValue
*
* \sa ::cudaGetDeviceCount, ::cudaGetDevice, ::cudaSetDevice,
* ::cudaChooseDevice
*/
public static native @Cast("cudaError_t") int cudaPointerGetAttributes(cudaPointerAttributes attributes, @Const Pointer ptr);
/** \} */ /* END CUDART_UNIFIED */
/**
* \defgroup CUDART_PEER Peer Device Memory Access
*
* ___MANBRIEF___ peer device memory access functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the peer device memory access functions of the CUDA runtime
* application programming interface.
*
* \{
*/
/**
* \brief Queries if a device may directly access a peer device's memory.
*
* Returns in \p *canAccessPeer a value of 1 if device \p device is capable of
* directly accessing memory from \p peerDevice and 0 otherwise. If direct
* access of \p peerDevice from \p device is possible, then access may be
* enabled by calling ::cudaDeviceEnablePeerAccess().
*
* @param canAccessPeer - Returned access capability
* @param device - Device from which allocations on \p peerDevice are to
* be directly accessed.
* @param peerDevice - Device on which the allocations to be directly accessed
* by \p device reside.
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice
* \notefnerr
*
* \sa ::cudaDeviceEnablePeerAccess,
* ::cudaDeviceDisablePeerAccess
*/
public static native @Cast("cudaError_t") int cudaDeviceCanAccessPeer(IntPointer canAccessPeer, int device, int peerDevice);
public static native @Cast("cudaError_t") int cudaDeviceCanAccessPeer(IntBuffer canAccessPeer, int device, int peerDevice);
public static native @Cast("cudaError_t") int cudaDeviceCanAccessPeer(int[] canAccessPeer, int device, int peerDevice);
/**
* \brief Enables direct access to memory allocations on a peer device.
*
* On success, all allocations from \p peerDevice will immediately be accessible by
* the current device. They will remain accessible until access is explicitly
* disabled using ::cudaDeviceDisablePeerAccess() or either device is reset using
* ::cudaDeviceReset().
*
* Note that access granted by this call is unidirectional and that in order to access
* memory on the current device from \p peerDevice, a separate symmetric call
* to ::cudaDeviceEnablePeerAccess() is required.
*
* Each device can support a system-wide maximum of eight peer connections.
*
* Peer access is not supported in 32 bit applications.
*
* Returns ::cudaErrorInvalidDevice if ::cudaDeviceCanAccessPeer() indicates
* that the current device cannot directly access memory from \p peerDevice.
*
* Returns ::cudaErrorPeerAccessAlreadyEnabled if direct access of
* \p peerDevice from the current device has already been enabled.
*
* Returns ::cudaErrorInvalidValue if \p flags is not 0.
*
* @param peerDevice - Peer device to enable direct access to from the current device
* @param flags - Reserved for future use and must be set to 0
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidDevice,
* ::cudaErrorPeerAccessAlreadyEnabled,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaDeviceCanAccessPeer,
* ::cudaDeviceDisablePeerAccess
*/
public static native @Cast("cudaError_t") int cudaDeviceEnablePeerAccess(int peerDevice, @Cast("unsigned int") int flags);
/**
* \brief Disables direct access to memory allocations on a peer device.
*
* Returns ::cudaErrorPeerAccessNotEnabled if direct access to memory on
* \p peerDevice has not yet been enabled from the current device.
*
* @param peerDevice - Peer device to disable direct access to
*
* @return
* ::cudaSuccess,
* ::cudaErrorPeerAccessNotEnabled,
* ::cudaErrorInvalidDevice
* \notefnerr
*
* \sa ::cudaDeviceCanAccessPeer,
* ::cudaDeviceEnablePeerAccess
*/
public static native @Cast("cudaError_t") int cudaDeviceDisablePeerAccess(int peerDevice);
/** \} */ /* END CUDART_PEER */
/** \defgroup CUDART_OPENGL OpenGL Interoperability */
/** \defgroup CUDART_OPENGL_DEPRECATED OpenGL Interoperability [DEPRECATED] */
/** \defgroup CUDART_D3D9 Direct3D 9 Interoperability */
/** \defgroup CUDART_D3D9_DEPRECATED Direct3D 9 Interoperability [DEPRECATED] */
/** \defgroup CUDART_D3D10 Direct3D 10 Interoperability */
/** \defgroup CUDART_D3D10_DEPRECATED Direct3D 10 Interoperability [DEPRECATED] */
/** \defgroup CUDART_D3D11 Direct3D 11 Interoperability */
/** \defgroup CUDART_D3D11_DEPRECATED Direct3D 11 Interoperability [DEPRECATED] */
/** \defgroup CUDART_VDPAU VDPAU Interoperability */
/**
* \defgroup CUDART_INTEROP Graphics Interoperability
*
* ___MANBRIEF___ graphics interoperability functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the graphics interoperability functions of the CUDA
* runtime application programming interface.
*
* \{
*/
/**
* \brief Unregisters a graphics resource for access by CUDA
*
* Unregisters the graphics resource \p resource so it is not accessible by
* CUDA unless registered again.
*
* If \p resource is invalid then ::cudaErrorInvalidResourceHandle is
* returned.
*
* @param resource - Resource to unregister
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown
* \notefnerr
*
* \sa
* ::cudaGraphicsD3D9RegisterResource,
* ::cudaGraphicsD3D10RegisterResource,
* ::cudaGraphicsD3D11RegisterResource,
* ::cudaGraphicsGLRegisterBuffer,
* ::cudaGraphicsGLRegisterImage
*/
public static native @Cast("cudaError_t") int cudaGraphicsUnregisterResource(cudaGraphicsResource resource);
/**
* \brief Set usage flags for mapping a graphics resource
*
* Set \p flags for mapping the graphics resource \p resource.
*
* Changes to \p flags will take effect the next time \p resource is mapped.
* The \p flags argument may be any of the following:
* - ::cudaGraphicsMapFlagsNone: Specifies no hints about how \p resource will
* be used. It is therefore assumed that CUDA may read from or write to \p resource.
* - ::cudaGraphicsMapFlagsReadOnly: Specifies that CUDA will not write to \p resource.
* - ::cudaGraphicsMapFlagsWriteDiscard: Specifies CUDA will not read from \p resource and will
* write over the entire contents of \p resource, so none of the data
* previously stored in \p resource will be preserved.
*
* If \p resource is presently mapped for access by CUDA then ::cudaErrorUnknown is returned.
* If \p flags is not one of the above values then ::cudaErrorInvalidValue is returned.
*
* @param resource - Registered resource to set flags for
* @param flags - Parameters for resource mapping
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown,
* \notefnerr
*
* \sa
* ::cudaGraphicsMapResources
*/
public static native @Cast("cudaError_t") int cudaGraphicsResourceSetMapFlags(cudaGraphicsResource resource, @Cast("unsigned int") int flags);
/**
* \brief Map graphics resources for access by CUDA
*
* Maps the \p count graphics resources in \p resources for access by CUDA.
*
* The resources in \p resources may be accessed by CUDA until they
* are unmapped. The graphics API from which \p resources were registered
* should not access any resources while they are mapped by CUDA. If an
* application does so, the results are undefined.
*
* This function provides the synchronization guarantee that any graphics calls
* issued before ::cudaGraphicsMapResources() will complete before any subsequent CUDA
* work issued in \p stream begins.
*
* If \p resources contains any duplicate entries then ::cudaErrorInvalidResourceHandle
* is returned. If any of \p resources are presently mapped for access by
* CUDA then ::cudaErrorUnknown is returned.
*
* @param count - Number of resources to map
* @param resources - Resources to map for CUDA
* @param stream - Stream for synchronization
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown
* \note_null_stream
* \notefnerr
*
* \sa
* ::cudaGraphicsResourceGetMappedPointer,
* ::cudaGraphicsSubResourceGetMappedArray,
* ::cudaGraphicsUnmapResources
*/
public static native @Cast("cudaError_t") int cudaGraphicsMapResources(int count, @ByPtrPtr cudaGraphicsResource resources, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaGraphicsMapResources(int count, @ByPtrPtr cudaGraphicsResource resources);
/**
* \brief Unmap graphics resources.
*
* Unmaps the \p count graphics resources in \p resources.
*
* Once unmapped, the resources in \p resources may not be accessed by CUDA
* until they are mapped again.
*
* This function provides the synchronization guarantee that any CUDA work issued
* in \p stream before ::cudaGraphicsUnmapResources() will complete before any
* subsequently issued graphics work begins.
*
* If \p resources contains any duplicate entries then ::cudaErrorInvalidResourceHandle
* is returned. If any of \p resources are not presently mapped for access by
* CUDA then ::cudaErrorUnknown is returned.
*
* @param count - Number of resources to unmap
* @param resources - Resources to unmap
* @param stream - Stream for synchronization
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown
* \note_null_stream
* \notefnerr
*
* \sa
* ::cudaGraphicsMapResources
*/
public static native @Cast("cudaError_t") int cudaGraphicsUnmapResources(int count, @ByPtrPtr cudaGraphicsResource resources, CUstream_st stream/*=0*/);
public static native @Cast("cudaError_t") int cudaGraphicsUnmapResources(int count, @ByPtrPtr cudaGraphicsResource resources);
/**
* \brief Get an device pointer through which to access a mapped graphics resource.
*
* Returns in \p *devPtr a pointer through which the mapped graphics resource
* \p resource may be accessed.
* Returns in \p *size the size of the memory in bytes which may be accessed from that pointer.
* The value set in \p devPtr may change every time that \p resource is mapped.
*
* If \p resource is not a buffer then it cannot be accessed via a pointer and
* ::cudaErrorUnknown is returned.
* If \p resource is not mapped then ::cudaErrorUnknown is returned.
* *
* @param devPtr - Returned pointer through which \p resource may be accessed
* @param size - Returned size of the buffer accessible starting at \p *devPtr
* @param resource - Mapped resource to access
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown
* \notefnerr
*
* \sa
* ::cudaGraphicsMapResources,
* ::cudaGraphicsSubResourceGetMappedArray
*/
public static native @Cast("cudaError_t") int cudaGraphicsResourceGetMappedPointer(@Cast("void**") PointerPointer devPtr, @Cast("size_t*") SizeTPointer size, cudaGraphicsResource resource);
public static native @Cast("cudaError_t") int cudaGraphicsResourceGetMappedPointer(@Cast("void**") @ByPtrPtr Pointer devPtr, @Cast("size_t*") SizeTPointer size, cudaGraphicsResource resource);
/**
* \brief Get an array through which to access a subresource of a mapped graphics resource.
*
* Returns in \p *array an array through which the subresource of the mapped
* graphics resource \p resource which corresponds to array index \p arrayIndex
* and mipmap level \p mipLevel may be accessed. The value set in \p array may
* change every time that \p resource is mapped.
*
* If \p resource is not a texture then it cannot be accessed via an array and
* ::cudaErrorUnknown is returned.
* If \p arrayIndex is not a valid array index for \p resource then
* ::cudaErrorInvalidValue is returned.
* If \p mipLevel is not a valid mipmap level for \p resource then
* ::cudaErrorInvalidValue is returned.
* If \p resource is not mapped then ::cudaErrorUnknown is returned.
*
* @param array - Returned array through which a subresource of \p resource may be accessed
* @param resource - Mapped resource to access
* @param arrayIndex - Array index for array textures or cubemap face
* index as defined by ::cudaGraphicsCubeFace for
* cubemap textures for the subresource to access
* @param mipLevel - Mipmap level for the subresource to access
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown
* \notefnerr
*
* \sa ::cudaGraphicsResourceGetMappedPointer
*/
public static native @Cast("cudaError_t") int cudaGraphicsSubResourceGetMappedArray(@ByPtrPtr cudaArray array, cudaGraphicsResource resource, @Cast("unsigned int") int arrayIndex, @Cast("unsigned int") int mipLevel);
/**
* \brief Get a mipmapped array through which to access a mapped graphics resource.
*
* Returns in \p *mipmappedArray a mipmapped array through which the mapped
* graphics resource \p resource may be accessed. The value set in \p mipmappedArray may
* change every time that \p resource is mapped.
*
* If \p resource is not a texture then it cannot be accessed via an array and
* ::cudaErrorUnknown is returned.
* If \p resource is not mapped then ::cudaErrorUnknown is returned.
*
* @param mipmappedArray - Returned mipmapped array through which \p resource may be accessed
* @param resource - Mapped resource to access
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidResourceHandle,
* ::cudaErrorUnknown
* \notefnerr
*
* \sa ::cudaGraphicsResourceGetMappedPointer
*/
public static native @Cast("cudaError_t") int cudaGraphicsResourceGetMappedMipmappedArray(@ByPtrPtr cudaMipmappedArray mipmappedArray, cudaGraphicsResource resource);
/** \} */ /* END CUDART_INTEROP */
/**
* \defgroup CUDART_TEXTURE Texture Reference Management
*
* ___MANBRIEF___ texture reference management functions of the CUDA runtime
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the low level texture reference management functions
* of the CUDA runtime application programming interface.
*
* Some functions have overloaded C++ API template versions documented separately in the
* \ref CUDART_HIGHLEVEL "C++ API Routines" module.
*
* \{
*/
/**
* \brief Get the channel descriptor of an array
*
* Returns in \p *desc the channel descriptor of the CUDA array \p array.
*
* @param desc - Channel format
* @param array - Memory array on device
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @Cast("cudaError_t") int cudaGetChannelDesc(cudaChannelFormatDesc desc, cudaArray array);
/**
* \brief Returns a channel descriptor using the specified format
*
* Returns a channel descriptor with format \p f and number of bits of each
* component \p x, \p y, \p z, and \p w. The ::cudaChannelFormatDesc is
* defined as:
* {@code
struct cudaChannelFormatDesc {
int x, y, z, w;
enum cudaChannelFormatKind f;
};
* }
*
* where ::cudaChannelFormatKind is one of ::cudaChannelFormatKindSigned,
* ::cudaChannelFormatKindUnsigned, or ::cudaChannelFormatKindFloat.
*
* @param x - X component
* @param y - Y component
* @param z - Z component
* @param w - W component
* @param f - Channel format
*
* @return
* Channel descriptor with format \p f
*
* \sa \ref ::cudaCreateChannelDesc(void) "cudaCreateChannelDesc (C++ API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @ByVal cudaChannelFormatDesc cudaCreateChannelDesc(int x, int y, int z, int w, @Cast("cudaChannelFormatKind") int f);
/**
* \brief Binds a memory area to a texture
*
* Binds \p size bytes of the memory area pointed to by \p devPtr to the
* texture reference \p texref. \p desc describes how the memory is interpreted
* when fetching values from the texture. Any memory previously bound to
* \p texref is unbound.
*
* Since the hardware enforces an alignment requirement on texture base
* addresses,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture()"
* returns in \p *offset a byte offset that
* must be applied to texture fetches in order to read from the desired memory.
* This offset must be divided by the texel size and passed to kernels that
* read from the texture so they can be applied to the ::tex1Dfetch() function.
* If the device memory pointer was returned from ::cudaMalloc(), the offset is
* guaranteed to be 0 and NULL may be passed as the \p offset parameter.
*
* The total number of elements (or texels) in the linear address range
* cannot exceed ::cudaDeviceProp::maxTexture1DLinear[0].
* The number of elements is computed as (\p size / elementSize),
* where elementSize is determined from \p desc.
*
* @param offset - Offset in bytes
* @param texref - Texture to bind
* @param devPtr - Memory area on device
* @param desc - Channel format
* @param size - Size of the memory area pointed to by devPtr
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidTexture
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct texture< T, dim, readMode>&, const void*, const struct cudaChannelFormatDesc&, size_t) "cudaBindTexture (C++ API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @Cast("cudaError_t") int cudaBindTexture(@Cast("size_t*") SizeTPointer offset, @Const textureReference texref, @Const Pointer devPtr, @Const cudaChannelFormatDesc desc, @Cast("size_t") long size/*=UINT_MAX*/);
public static native @Cast("cudaError_t") int cudaBindTexture(@Cast("size_t*") SizeTPointer offset, @Const textureReference texref, @Const Pointer devPtr, @Const cudaChannelFormatDesc desc);
/**
* \brief Binds a 2D memory area to a texture
*
* Binds the 2D memory area pointed to by \p devPtr to the
* texture reference \p texref. The size of the area is constrained by
* \p width in texel units, \p height in texel units, and \p pitch in byte
* units. \p desc describes how the memory is interpreted when fetching values
* from the texture. Any memory previously bound to \p texref is unbound.
*
* Since the hardware enforces an alignment requirement on texture base
* addresses, ::cudaBindTexture2D() returns in \p *offset a byte offset that
* must be applied to texture fetches in order to read from the desired memory.
* This offset must be divided by the texel size and passed to kernels that
* read from the texture so they can be applied to the ::tex2D() function.
* If the device memory pointer was returned from ::cudaMalloc(), the offset is
* guaranteed to be 0 and NULL may be passed as the \p offset parameter.
*
* \p width and \p height, which are specified in elements (or texels), cannot
* exceed ::cudaDeviceProp::maxTexture2DLinear[0] and ::cudaDeviceProp::maxTexture2DLinear[1]
* respectively. \p pitch, which is specified in bytes, cannot exceed
* ::cudaDeviceProp::maxTexture2DLinear[2].
*
* The driver returns ::cudaErrorInvalidValue if \p pitch is not a multiple of
* ::cudaDeviceProp::texturePitchAlignment.
*
* @param offset - Offset in bytes
* @param texref - Texture reference to bind
* @param devPtr - 2D memory area on device
* @param desc - Channel format
* @param width - Width in texel units
* @param height - Height in texel units
* @param pitch - Pitch in bytes
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidTexture
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct texture< T, dim, readMode>&, const void*, const struct cudaChannelFormatDesc&, size_t, size_t, size_t) "cudaBindTexture2D (C++ API)",
* \ref ::cudaBindTexture2D(size_t*, const struct texture&, const void*, size_t, size_t, size_t) "cudaBindTexture2D (C++ API, inherited channel descriptor)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaBindTextureToArray (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @Cast("cudaError_t") int cudaBindTexture2D(@Cast("size_t*") SizeTPointer offset, @Const textureReference texref, @Const Pointer devPtr, @Const cudaChannelFormatDesc desc, @Cast("size_t") long width, @Cast("size_t") long height, @Cast("size_t") long pitch);
/**
* \brief Binds an array to a texture
*
* Binds the CUDA array \p array to the texture reference \p texref.
* \p desc describes how the memory is interpreted when fetching values from
* the texture. Any CUDA array previously bound to \p texref is unbound.
*
* @param texref - Texture to bind
* @param array - Memory array on device
* @param desc - Channel format
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidTexture
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct texture< T, dim, readMode>&, cudaArray_const_t, const struct cudaChannelFormatDesc&) "cudaBindTextureToArray (C++ API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @Cast("cudaError_t") int cudaBindTextureToArray(@Const textureReference texref, cudaArray array, @Const cudaChannelFormatDesc desc);
/**
* \brief Binds a mipmapped array to a texture
*
* Binds the CUDA mipmapped array \p mipmappedArray to the texture reference \p texref.
* \p desc describes how the memory is interpreted when fetching values from
* the texture. Any CUDA mipmapped array previously bound to \p texref is unbound.
*
* @param texref - Texture to bind
* @param mipmappedArray - Memory mipmapped array on device
* @param desc - Channel format
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidDevicePointer,
* ::cudaErrorInvalidTexture
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct texture< T, dim, readMode>&, cudaArray_const_t, const struct cudaChannelFormatDesc&) "cudaBindTextureToArray (C++ API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @Cast("cudaError_t") int cudaBindTextureToMipmappedArray(@Const textureReference texref, cudaMipmappedArray mipmappedArray, @Const cudaChannelFormatDesc desc);
/**
* \brief Unbinds a texture
*
* Unbinds the texture bound to \p texref.
*
* @param texref - Texture to unbind
*
* @return
* ::cudaSuccess
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct texture< T, dim, readMode>&) "cudaUnbindTexture (C++ API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)"
*/
public static native @Cast("cudaError_t") int cudaUnbindTexture(@Const textureReference texref);
/**
* \brief Get the alignment offset of a texture
*
* Returns in \p *offset the offset that was returned when texture reference
* \p texref was bound.
*
* @param offset - Offset of texture reference in bytes
* @param texref - Texture to get offset of
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidTexture,
* ::cudaErrorInvalidTextureBinding
* \notefnerr
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc, ::cudaGetTextureReference,
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)",
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct texture< T, dim, readMode>&) "cudaGetTextureAlignmentOffset (C++ API)"
*/
public static native @Cast("cudaError_t") int cudaGetTextureAlignmentOffset(@Cast("size_t*") SizeTPointer offset, @Const textureReference texref);
/**
* \brief Get the texture reference associated with a symbol
*
* Returns in \p *texref the structure associated to the texture reference
* defined by symbol \p symbol.
*
* @param texref - Texture reference associated with symbol
* @param symbol - Texture to get reference for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidTexture
* \notefnerr
* \note_string_api_deprecation_50
*
* \sa \ref ::cudaCreateChannelDesc(int, int, int, int, cudaChannelFormatKind) "cudaCreateChannelDesc (C API)",
* ::cudaGetChannelDesc,
* \ref ::cudaGetTextureAlignmentOffset(size_t*, const struct textureReference*) "cudaGetTextureAlignmentOffset (C API)",
* \ref ::cudaBindTexture(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t) "cudaBindTexture (C API)",
* \ref ::cudaBindTexture2D(size_t*, const struct textureReference*, const void*, const struct cudaChannelFormatDesc*, size_t, size_t, size_t) "cudaBindTexture2D (C API)",
* \ref ::cudaBindTextureToArray(const struct textureReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindTextureToArray (C API)",
* \ref ::cudaUnbindTexture(const struct textureReference*) "cudaUnbindTexture (C API)"
*/
public static native @Cast("cudaError_t") int cudaGetTextureReference(@Cast("const textureReference**") PointerPointer texref, @Const Pointer symbol);
public static native @Cast("cudaError_t") int cudaGetTextureReference(@Const @ByPtrPtr textureReference texref, @Const Pointer symbol);
/** \} */ /* END CUDART_TEXTURE */
/**
* \defgroup CUDART_SURFACE Surface Reference Management
*
* ___MANBRIEF___ surface reference management functions of the CUDA runtime
* API (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the low level surface reference management functions
* of the CUDA runtime application programming interface.
*
* Some functions have overloaded C++ API template versions documented separately in the
* \ref CUDART_HIGHLEVEL "C++ API Routines" module.
*
* \{
*/
/**
* \brief Binds an array to a surface
*
* Binds the CUDA array \p array to the surface reference \p surfref.
* \p desc describes how the memory is interpreted when fetching values from
* the surface. Any CUDA array previously bound to \p surfref is unbound.
*
* @param surfref - Surface to bind
* @param array - Memory array on device
* @param desc - Channel format
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue,
* ::cudaErrorInvalidSurface
* \notefnerr
*
* \sa \ref ::cudaBindSurfaceToArray(const struct surface< T, dim>&, cudaArray_const_t, const struct cudaChannelFormatDesc&) "cudaBindSurfaceToArray (C++ API)",
* \ref ::cudaBindSurfaceToArray(const struct surface< T, dim>&, cudaArray_const_t) "cudaBindSurfaceToArray (C++ API, inherited channel descriptor)",
* ::cudaGetSurfaceReference
*/
public static native @Cast("cudaError_t") int cudaBindSurfaceToArray(@Const surfaceReference surfref, cudaArray array, @Const cudaChannelFormatDesc desc);
/**
* \brief Get the surface reference associated with a symbol
*
* Returns in \p *surfref the structure associated to the surface reference
* defined by symbol \p symbol.
*
* @param surfref - Surface reference associated with symbol
* @param symbol - Surface to get reference for
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidSurface
* \notefnerr
* \note_string_api_deprecation_50
*
* \sa \ref ::cudaBindSurfaceToArray(const struct surfaceReference*, cudaArray_const_t, const struct cudaChannelFormatDesc*) "cudaBindSurfaceToArray (C API)"
*/
public static native @Cast("cudaError_t") int cudaGetSurfaceReference(@Cast("const surfaceReference**") PointerPointer surfref, @Const Pointer symbol);
public static native @Cast("cudaError_t") int cudaGetSurfaceReference(@Const @ByPtrPtr surfaceReference surfref, @Const Pointer symbol);
/** \} */ /* END CUDART_SURFACE */
/**
* \defgroup CUDART_TEXTURE_OBJECT Texture Object Management
*
* ___MANBRIEF___ texture object management functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the low level texture object management functions
* of the CUDA runtime application programming interface. The texture
* object API is only supported on devices of compute capability 3.0 or higher.
*
* \{
*/
/**
* \brief Creates a texture object
*
* Creates a texture object and returns it in \p pTexObject. \p pResDesc describes
* the data to texture from. \p pTexDesc describes how the data should be sampled.
* \p pResViewDesc is an optional argument that specifies an alternate format for
* the data described by \p pResDesc, and also describes the subresource region
* to restrict access to when texturing. \p pResViewDesc can only be specified if
* the type of resource is a CUDA array or a CUDA mipmapped array.
*
* Texture objects are only supported on devices of compute capability 3.0 or higher.
* Additionally, a texture object is an opaque value, and, as such, should only be
* accessed through CUDA API calls.
*
* The ::cudaResourceDesc structure is defined as:
* {@code
struct cudaResourceDesc {
enum cudaResourceType resType;
union {
struct {
cudaArray_t array;
} array;
struct {
cudaMipmappedArray_t mipmap;
} mipmap;
struct {
void *devPtr;
struct cudaChannelFormatDesc desc;
size_t sizeInBytes;
} linear;
struct {
void *devPtr;
struct cudaChannelFormatDesc desc;
size_t width;
size_t height;
size_t pitchInBytes;
} pitch2D;
} res;
};
* }
* where:
* - ::cudaResourceDesc::resType specifies the type of resource to texture from.
* CUresourceType is defined as:
* {@code
enum cudaResourceType {
cudaResourceTypeArray = 0x00,
cudaResourceTypeMipmappedArray = 0x01,
cudaResourceTypeLinear = 0x02,
cudaResourceTypePitch2D = 0x03
};
* }
*
* \par
* If ::cudaResourceDesc::resType is set to ::cudaResourceTypeArray, ::cudaResourceDesc::res::array::array
* must be set to a valid CUDA array handle.
*
* \par
* If ::cudaResourceDesc::resType is set to ::cudaResourceTypeMipmappedArray, ::cudaResourceDesc::res::mipmap::mipmap
* must be set to a valid CUDA mipmapped array handle and ::cudaTextureDesc::normalizedCoords must be set to true.
*
* \par
* If ::cudaResourceDesc::resType is set to ::cudaResourceTypeLinear, ::cudaResourceDesc::res::linear::devPtr
* must be set to a valid device pointer, that is aligned to ::cudaDeviceProp::textureAlignment.
* ::cudaResourceDesc::res::linear::desc describes the format and the number of components per array element. ::cudaResourceDesc::res::linear::sizeInBytes
* specifies the size of the array in bytes. The total number of elements in the linear address range cannot exceed
* ::cudaDeviceProp::maxTexture1DLinear. The number of elements is computed as (sizeInBytes / sizeof(desc)).
*
* \par
* If ::cudaResourceDesc::resType is set to ::cudaResourceTypePitch2D, ::cudaResourceDesc::res::pitch2D::devPtr
* must be set to a valid device pointer, that is aligned to ::cudaDeviceProp::textureAlignment.
* ::cudaResourceDesc::res::pitch2D::desc describes the format and the number of components per array element. ::cudaResourceDesc::res::pitch2D::width
* and ::cudaResourceDesc::res::pitch2D::height specify the width and height of the array in elements, and cannot exceed
* ::cudaDeviceProp::maxTexture2DLinear[0] and ::cudaDeviceProp::maxTexture2DLinear[1] respectively.
* ::cudaResourceDesc::res::pitch2D::pitchInBytes specifies the pitch between two rows in bytes and has to be aligned to
* ::cudaDeviceProp::texturePitchAlignment. Pitch cannot exceed ::cudaDeviceProp::maxTexture2DLinear[2].
*
*
* The ::cudaTextureDesc struct is defined as
* {@code
struct cudaTextureDesc {
enum cudaTextureAddressMode addressMode[3];
enum cudaTextureFilterMode filterMode;
enum cudaTextureReadMode readMode;
int sRGB;
int normalizedCoords;
unsigned int maxAnisotropy;
enum cudaTextureFilterMode mipmapFilterMode;
float mipmapLevelBias;
float minMipmapLevelClamp;
float maxMipmapLevelClamp;
};
* }
* where
* - ::cudaTextureDesc::addressMode specifies the addressing mode for each dimension of the texture data. ::cudaTextureAddressMode is defined as:
* {@code
enum cudaTextureAddressMode {
cudaAddressModeWrap = 0,
cudaAddressModeClamp = 1,
cudaAddressModeMirror = 2,
cudaAddressModeBorder = 3
};
* }
* This is ignored if ::cudaResourceDesc::resType is ::cudaResourceTypeLinear. Also, if ::cudaTextureDesc::normalizedCoords
* is set to zero, ::cudaAddressModeWrap and ::cudaAddressModeMirror won't be supported and will be switched to ::cudaAddressModeClamp.
*
* - ::cudaTextureDesc::filterMode specifies the filtering mode to be used when fetching from the texture. ::cudaTextureFilterMode is defined as:
* {@code
enum cudaTextureFilterMode {
cudaFilterModePoint = 0,
cudaFilterModeLinear = 1
};
* }
* This is ignored if ::cudaResourceDesc::resType is ::cudaResourceTypeLinear.
*
* - ::cudaTextureDesc::readMode specifies whether integer data should be converted to floating point or not. ::cudaTextureReadMode is defined as:
* {@code
enum cudaTextureReadMode {
cudaReadModeElementType = 0,
cudaReadModeNormalizedFloat = 1
};
* }
* Note that this applies only to 8-bit and 16-bit integer formats. 32-bit integer format would not be promoted, regardless of
* whether or not this ::cudaTextureDesc::readMode is set ::cudaReadModeNormalizedFloat is specified.
*
* - ::cudaTextureDesc::sRGB specifies whether sRGB to linear conversion should be performed during texture fetch.
*
* - ::cudaTextureDesc::normalizedCoords specifies whether the texture coordinates will be normalized or not.
*
* - ::cudaTextureDesc::maxAnisotropy specifies the maximum anistropy ratio to be used when doing anisotropic filtering. This value will be
* clamped to the range [1,16].
*
* - ::cudaTextureDesc::mipmapFilterMode specifies the filter mode when the calculated mipmap level lies between two defined mipmap levels.
*
* - ::cudaTextureDesc::mipmapLevelBias specifies the offset to be applied to the calculated mipmap level.
*
* - ::cudaTextureDesc::minMipmapLevelClamp specifies the lower end of the mipmap level range to clamp access to.
*
* - ::cudaTextureDesc::maxMipmapLevelClamp specifies the upper end of the mipmap level range to clamp access to.
*
*
* The ::cudaResourceViewDesc struct is defined as
* {@code
struct cudaResourceViewDesc {
enum cudaResourceViewFormat format;
size_t width;
size_t height;
size_t depth;
unsigned int firstMipmapLevel;
unsigned int lastMipmapLevel;
unsigned int firstLayer;
unsigned int lastLayer;
};
* }
* where:
* - ::cudaResourceViewDesc::format specifies how the data contained in the CUDA array or CUDA mipmapped array should
* be interpreted. Note that this can incur a change in size of the texture data. If the resource view format is a block
* compressed format, then the underlying CUDA array or CUDA mipmapped array has to have a 32-bit unsigned integer format
* with 2 or 4 channels, depending on the block compressed format. For ex., BC1 and BC4 require the underlying CUDA array to have
* a 32-bit unsigned int with 2 channels. The other BC formats require the underlying resource to have the same 32-bit unsigned int
* format but with 4 channels.
*
* - ::cudaResourceViewDesc::width specifies the new width of the texture data. If the resource view format is a block
* compressed format, this value has to be 4 times the original width of the resource. For non block compressed formats,
* this value has to be equal to that of the original resource.
*
* - ::cudaResourceViewDesc::height specifies the new height of the texture data. If the resource view format is a block
* compressed format, this value has to be 4 times the original height of the resource. For non block compressed formats,
* this value has to be equal to that of the original resource.
*
* - ::cudaResourceViewDesc::depth specifies the new depth of the texture data. This value has to be equal to that of the
* original resource.
*
* - ::cudaResourceViewDesc::firstMipmapLevel specifies the most detailed mipmap level. This will be the new mipmap level zero.
* For non-mipmapped resources, this value has to be zero.::cudaTextureDesc::minMipmapLevelClamp and ::cudaTextureDesc::maxMipmapLevelClamp
* will be relative to this value. For ex., if the firstMipmapLevel is set to 2, and a minMipmapLevelClamp of 1.2 is specified,
* then the actual minimum mipmap level clamp will be 3.2.
*
* - ::cudaResourceViewDesc::lastMipmapLevel specifies the least detailed mipmap level. For non-mipmapped resources, this value
* has to be zero.
*
* - ::cudaResourceViewDesc::firstLayer specifies the first layer index for layered textures. This will be the new layer zero.
* For non-layered resources, this value has to be zero.
*
* - ::cudaResourceViewDesc::lastLayer specifies the last layer index for layered textures. For non-layered resources,
* this value has to be zero.
*
*
* @param pTexObject - Texture object to create
* @param pResDesc - Resource descriptor
* @param pTexDesc - Texture descriptor
* @param pResViewDesc - Resource view descriptor
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaDestroyTextureObject
*/
public static native @Cast("cudaError_t") int cudaCreateTextureObject(@Cast("cudaTextureObject_t*") LongPointer pTexObject, @Const cudaResourceDesc pResDesc, @Const cudaTextureDesc pTexDesc, @Const cudaResourceViewDesc pResViewDesc);
public static native @Cast("cudaError_t") int cudaCreateTextureObject(@Cast("cudaTextureObject_t*") LongBuffer pTexObject, @Const cudaResourceDesc pResDesc, @Const cudaTextureDesc pTexDesc, @Const cudaResourceViewDesc pResViewDesc);
public static native @Cast("cudaError_t") int cudaCreateTextureObject(@Cast("cudaTextureObject_t*") long[] pTexObject, @Const cudaResourceDesc pResDesc, @Const cudaTextureDesc pTexDesc, @Const cudaResourceViewDesc pResViewDesc);
/**
* \brief Destroys a texture object
*
* Destroys the texture object specified by \p texObject.
*
* @param texObject - Texture object to destroy
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaCreateTextureObject
*/
public static native @Cast("cudaError_t") int cudaDestroyTextureObject(@Cast("cudaTextureObject_t") long texObject);
/**
* \brief Returns a texture object's resource descriptor
*
* Returns the resource descriptor for the texture object specified by \p texObject.
*
* @param pResDesc - Resource descriptor
* @param texObject - Texture object
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaCreateTextureObject
*/
public static native @Cast("cudaError_t") int cudaGetTextureObjectResourceDesc(cudaResourceDesc pResDesc, @Cast("cudaTextureObject_t") long texObject);
/**
* \brief Returns a texture object's texture descriptor
*
* Returns the texture descriptor for the texture object specified by \p texObject.
*
* @param pTexDesc - Texture descriptor
* @param texObject - Texture object
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaCreateTextureObject
*/
public static native @Cast("cudaError_t") int cudaGetTextureObjectTextureDesc(cudaTextureDesc pTexDesc, @Cast("cudaTextureObject_t") long texObject);
/**
* \brief Returns a texture object's resource view descriptor
*
* Returns the resource view descriptor for the texture object specified by \p texObject.
* If no resource view was specified, ::cudaErrorInvalidValue is returned.
*
* @param pResViewDesc - Resource view descriptor
* @param texObject - Texture object
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaCreateTextureObject
*/
public static native @Cast("cudaError_t") int cudaGetTextureObjectResourceViewDesc(cudaResourceViewDesc pResViewDesc, @Cast("cudaTextureObject_t") long texObject);
/** \} */ /* END CUDART_TEXTURE_OBJECT */
/**
* \defgroup CUDART_SURFACE_OBJECT Surface Object Management
*
* ___MANBRIEF___ surface object management functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the low level texture object management functions
* of the CUDA runtime application programming interface. The surface object
* API is only supported on devices of compute capability 3.0 or higher.
*
* \{
*/
/**
* \brief Creates a surface object
*
* Creates a surface object and returns it in \p pSurfObject. \p pResDesc describes
* the data to perform surface load/stores on. ::cudaResourceDesc::resType must be
* ::cudaResourceTypeArray and ::cudaResourceDesc::res::array::array
* must be set to a valid CUDA array handle.
*
* Surface objects are only supported on devices of compute capability 3.0 or higher.
* Additionally, a surface object is an opaque value, and, as such, should only be
* accessed through CUDA API calls.
*
* @param pSurfObject - Surface object to create
* @param pResDesc - Resource descriptor
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaDestroySurfaceObject
*/
public static native @Cast("cudaError_t") int cudaCreateSurfaceObject(@Cast("cudaSurfaceObject_t*") LongPointer pSurfObject, @Const cudaResourceDesc pResDesc);
public static native @Cast("cudaError_t") int cudaCreateSurfaceObject(@Cast("cudaSurfaceObject_t*") LongBuffer pSurfObject, @Const cudaResourceDesc pResDesc);
public static native @Cast("cudaError_t") int cudaCreateSurfaceObject(@Cast("cudaSurfaceObject_t*") long[] pSurfObject, @Const cudaResourceDesc pResDesc);
/**
* \brief Destroys a surface object
*
* Destroys the surface object specified by \p surfObject.
*
* @param surfObject - Surface object to destroy
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaCreateSurfaceObject
*/
public static native @Cast("cudaError_t") int cudaDestroySurfaceObject(@Cast("cudaSurfaceObject_t") long surfObject);
/**
* \brief Returns a surface object's resource descriptor
* Returns the resource descriptor for the surface object specified by \p surfObject.
*
* @param pResDesc - Resource descriptor
* @param surfObject - Surface object
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaCreateSurfaceObject
*/
public static native @Cast("cudaError_t") int cudaGetSurfaceObjectResourceDesc(cudaResourceDesc pResDesc, @Cast("cudaSurfaceObject_t") long surfObject);
/** \} */ /* END CUDART_SURFACE_OBJECT */
/**
* \defgroup CUDART__VERSION Version Management
*
* \{
*/
/**
* \brief Returns the CUDA driver version
*
* Returns in \p *driverVersion the version number of the installed CUDA
* driver. If no driver is installed, then 0 is returned as the driver
* version (via \p driverVersion). This function automatically returns
* ::cudaErrorInvalidValue if the \p driverVersion argument is NULL.
*
* @param driverVersion - Returns the CUDA driver version.
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
* \notefnerr
*
* \sa ::cudaRuntimeGetVersion
*/
public static native @Cast("cudaError_t") int cudaDriverGetVersion(IntPointer driverVersion);
public static native @Cast("cudaError_t") int cudaDriverGetVersion(IntBuffer driverVersion);
public static native @Cast("cudaError_t") int cudaDriverGetVersion(int[] driverVersion);
/**
* \brief Returns the CUDA Runtime version
*
* Returns in \p *runtimeVersion the version number of the installed CUDA
* Runtime. This function automatically returns ::cudaErrorInvalidValue if
* the \p runtimeVersion argument is NULL.
*
* @param runtimeVersion - Returns the CUDA Runtime version.
*
* @return
* ::cudaSuccess,
* ::cudaErrorInvalidValue
*
* \sa ::cudaDriverGetVersion
*/
public static native @Cast("cudaError_t") int cudaRuntimeGetVersion(IntPointer runtimeVersion);
public static native @Cast("cudaError_t") int cudaRuntimeGetVersion(IntBuffer runtimeVersion);
public static native @Cast("cudaError_t") int cudaRuntimeGetVersion(int[] runtimeVersion);
/** \} */ /* END CUDART__VERSION */
/** \cond impl_private */
public static native @Cast("cudaError_t") int cudaGetExportTable(@Cast("const void**") PointerPointer ppExportTable, @Const cudaUUID_t pExportTableId);
public static native @Cast("cudaError_t") int cudaGetExportTable(@Cast("const void**") @ByPtrPtr Pointer ppExportTable, @Const cudaUUID_t pExportTableId);
/** \endcond impl_private */
/**
* \defgroup CUDART_HIGHLEVEL C++ API Routines
*
* ___MANBRIEF___ C++ high level API functions of the CUDA runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the C++ high level API functions of the CUDA runtime
* application programming interface. To use these functions, your
* application needs to be compiled with the \p nvcc compiler.
*
* \brief C++-style interface built on top of CUDA runtime API
*/
/**
* \defgroup CUDART_DRIVER Interactions with the CUDA Driver API
*
* ___MANBRIEF___ interactions between CUDA Driver API and CUDA Runtime API
* (___CURRENT_FILE___) ___ENDMANBRIEF___
*
* This section describes the interactions between the CUDA Driver API and the CUDA Runtime API
*
* \{
*
* \section CUDART_CUDA_primary Primary Contexts
*
* There exists a one to one relationship between CUDA devices in the CUDA Runtime
* API and ::CUcontext s in the CUDA Driver API within a process. The specific
* context which the CUDA Runtime API uses for a device is called the device's
* primary context. From the perspective of the CUDA Runtime API, a device and
* its primary context are synonymous.
*
* \section CUDART_CUDA_init Initialization and Tear-Down
*
* CUDA Runtime API calls operate on the CUDA Driver API ::CUcontext which is current to
* to the calling host thread.
*
* The function ::cudaSetDevice() makes the primary context for the
* specified device current to the calling thread by calling ::cuCtxSetCurrent().
*
* The CUDA Runtime API will automatically initialize the primary context for
* a device at the first CUDA Runtime API call which requires an active context.
* If no ::CUcontext is current to the calling thread when a CUDA Runtime API call
* which requires an active context is made, then the primary context for a device
* will be selected, made current to the calling thread, and initialized.
*
* The context which the CUDA Runtime API initializes will be initialized using
* the parameters specified by the CUDA Runtime API functions
* ::cudaSetDeviceFlags(),
* ::cudaD3D9SetDirect3DDevice(),
* ::cudaD3D10SetDirect3DDevice(),
* ::cudaD3D11SetDirect3DDevice(),
* ::cudaGLSetGLDevice(), and
* ::cudaVDPAUSetVDPAUDevice().
* Note that these functions will fail with ::cudaErrorSetOnActiveProcess if they are
* called when the primary context for the specified device has already been initialized.
* (or if the current device has already been initialized, in the case of
* ::cudaSetDeviceFlags()).
*
* Primary contexts will remain active until they are explicitly deinitialized
* using ::cudaDeviceReset(). The function ::cudaDeviceReset() will deinitialize the
* primary context for the calling thread's current device immediately. The context
* will remain current to all of the threads that it was current to. The next CUDA
* Runtime API call on any thread which requires an active context will trigger the
* reinitialization of that device's primary context.
*
* Note that there is no reference counting of the primary context's lifetime. It is
* recommended that the primary context not be deinitialized except just before exit
* or to recover from an unspecified launch failure.
*
* \section CUDART_CUDA_context Context Interoperability
*
* Note that the use of multiple ::CUcontext s per device within a single process
* will substantially degrade performance and is strongly discouraged. Instead,
* it is highly recommended that the implicit one-to-one device-to-context mapping
* for the process provided by the CUDA Runtime API be used.
*
* If a non-primary ::CUcontext created by the CUDA Driver API is current to a
* thread then the CUDA Runtime API calls to that thread will operate on that
* ::CUcontext, with some exceptions listed below. Interoperability between data
* types is discussed in the following sections.
*
* The function ::cudaPointerGetAttributes() will return the error
* ::cudaErrorIncompatibleDriverContext if the pointer being queried was allocated by a
* non-primary context. The function ::cudaDeviceEnablePeerAccess() and the rest of
* the peer access API may not be called when a non-primary ::CUcontext is current.
* To use the pointer query and peer access APIs with a context created using the
* CUDA Driver API, it is necessary that the CUDA Driver API be used to access
* these features.
*
* All CUDA Runtime API state (e.g, global variables' addresses and values) travels
* with its underlying ::CUcontext. In particular, if a ::CUcontext is moved from one
* thread to another then all CUDA Runtime API state will move to that thread as well.
*
* Please note that attaching to legacy contexts (those with a version of 3010 as returned
* by ::cuCtxGetApiVersion()) is not possible. The CUDA Runtime will return
* ::cudaErrorIncompatibleDriverContext in such cases.
*
* \section CUDART_CUDA_stream Interactions between CUstream and cudaStream_t
*
* The types ::CUstream and ::cudaStream_t are identical and may be used interchangeably.
*
* \section CUDART_CUDA_event Interactions between CUevent and cudaEvent_t
*
* The types ::CUevent and ::cudaEvent_t are identical and may be used interchangeably.
*
* \section CUDART_CUDA_array Interactions between CUarray and cudaArray_t
*
* The types ::CUarray and struct ::cudaArray * represent the same data type and may be used
* interchangeably by casting the two types between each other.
*
* In order to use a ::CUarray in a CUDA Runtime API function which takes a struct ::cudaArray *,
* it is necessary to explicitly cast the ::CUarray to a struct ::cudaArray *.
*
* In order to use a struct ::cudaArray * in a CUDA Driver API function which takes a ::CUarray,
* it is necessary to explicitly cast the struct ::cudaArray * to a ::CUarray .
*
* \section CUDART_CUDA_graphicsResource Interactions between CUgraphicsResource and cudaGraphicsResource_t
*
* The types ::CUgraphicsResource and ::cudaGraphicsResource_t represent the same data type and may be used
* interchangeably by casting the two types between each other.
*
* In order to use a ::CUgraphicsResource in a CUDA Runtime API function which takes a
* ::cudaGraphicsResource_t, it is necessary to explicitly cast the ::CUgraphicsResource
* to a ::cudaGraphicsResource_t.
*
* In order to use a ::cudaGraphicsResource_t in a CUDA Driver API function which takes a
* ::CUgraphicsResource, it is necessary to explicitly cast the ::cudaGraphicsResource_t
* to a ::CUgraphicsResource.
*
* \}
*/
// #if defined(__CUDA_API_VERSION_INTERNAL)
// #elif defined(__CUDART_API_PER_THREAD_DEFAULT_STREAM)
// #endif
// #if defined(__cplusplus)
// #endif /* __cplusplus */
// #undef __dv
// #endif /* !__CUDA_RUNTIME_API_H__ */
// Parsed from
/*
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__DRIVER_FUNCTIONS_H__)
// #define __DRIVER_FUNCTIONS_H__
// #include "builtin_types.h"
// #include "host_defines.h"
// #include "driver_types.h"
/**
* \addtogroup CUDART_MEMORY
*
* \{
*/
/**
* \brief Returns a cudaPitchedPtr based on input parameters
*
* Returns a ::cudaPitchedPtr based on the specified input parameters \p d,
* \p p, \p xsz, and \p ysz.
*
* @param d - Pointer to allocated memory
* @param p - Pitch of allocated memory in bytes
* @param xsz - Logical width of allocation in elements
* @param ysz - Logical height of allocation in elements
*
* @return
* ::cudaPitchedPtr specified by \p d, \p p, \p xsz, and \p ysz
*
* \sa make_cudaExtent, make_cudaPos
*/
public static native @ByVal cudaPitchedPtr make_cudaPitchedPtr(Pointer d, @Cast("size_t") long p, @Cast("size_t") long xsz, @Cast("size_t") long ysz);
/**
* \brief Returns a cudaPos based on input parameters
*
* Returns a ::cudaPos based on the specified input parameters \p x,
* \p y, and \p z.
*
* @param x - X position
* @param y - Y position
* @param z - Z position
*
* @return
* ::cudaPos specified by \p x, \p y, and \p z
*
* \sa make_cudaExtent, make_cudaPitchedPtr
*/
public static native @ByVal cudaPos make_cudaPos(@Cast("size_t") long x, @Cast("size_t") long y, @Cast("size_t") long z);
/**
* \brief Returns a cudaExtent based on input parameters
*
* Returns a ::cudaExtent based on the specified input parameters \p w,
* \p h, and \p d.
*
* @param w - Width in bytes
* @param h - Height in elements
* @param d - Depth in elements
*
* @return
* ::cudaExtent specified by \p w, \p h, and \p d
*
* \sa make_cudaPitchedPtr, make_cudaPos
*/
public static native @ByVal cudaExtent make_cudaExtent(@Cast("size_t") long w, @Cast("size_t") long h, @Cast("size_t") long d);
/** \} */ /* END CUDART_MEMORY */
// #endif /* !__DRIVER_FUNCTIONS_H__ */
// Parsed from
/*
* Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(__VECTOR_FUNCTIONS_H__)
// #define __VECTOR_FUNCTIONS_H__
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
// #include "builtin_types.h"
// #include "host_defines.h"
// #include "vector_types.h"
// #if defined(__CUDACC_RTC__)
// #define __VECTOR_FUNCTIONS_DECL__ __host__ __device__
// #else /* !__CUDACC_RTC__ */
// #define __VECTOR_FUNCTIONS_DECL__ static __inline__ __host__ __device__
// #endif /* __CUDACC_RTC__ */
/*******************************************************************************
* *
* *
* *
*******************************************************************************/
public static native @ByVal char1 make_char1(byte x);
public static native @ByVal uchar1 make_uchar1(@Cast("unsigned char") byte x);
public static native @ByVal char2 make_char2(byte x, byte y);
public static native @ByVal uchar2 make_uchar2(@Cast("unsigned char") byte x, @Cast("unsigned char") byte y);
public static native @ByVal char3 make_char3(byte x, byte y, byte z);
public static native @ByVal uchar3 make_uchar3(@Cast("unsigned char") byte x, @Cast("unsigned char") byte y, @Cast("unsigned char") byte z);
public static native @ByVal char4 make_char4(byte x, byte y, byte z, byte w);
public static native @ByVal uchar4 make_uchar4(@Cast("unsigned char") byte x, @Cast("unsigned char") byte y, @Cast("unsigned char") byte z, @Cast("unsigned char") byte w);
public static native @ByVal short1 make_short1(short x);
public static native @ByVal ushort1 make_ushort1(@Cast("unsigned short") short x);
public static native @ByVal short2 make_short2(short x, short y);
public static native @ByVal ushort2 make_ushort2(@Cast("unsigned short") short x, @Cast("unsigned short") short y);
public static native @ByVal short3 make_short3(short x,short y, short z);
public static native @ByVal ushort3 make_ushort3(@Cast("unsigned short") short x, @Cast("unsigned short") short y, @Cast("unsigned short") short z);
public static native @ByVal short4 make_short4(short x, short y, short z, short w);
public static native @ByVal ushort4 make_ushort4(@Cast("unsigned short") short x, @Cast("unsigned short") short y, @Cast("unsigned short") short z, @Cast("unsigned short") short w);
public static native @ByVal int1 make_int1(int x);
public static native @ByVal uint1 make_uint1(@Cast("unsigned int") int x);
public static native @ByVal int2 make_int2(int x, int y);
public static native @ByVal uint2 make_uint2(@Cast("unsigned int") int x, @Cast("unsigned int") int y);
public static native @ByVal int3 make_int3(int x, int y, int z);
public static native @ByVal uint3 make_uint3(@Cast("unsigned int") int x, @Cast("unsigned int") int y, @Cast("unsigned int") int z);
public static native @ByVal int4 make_int4(int x, int y, int z, int w);
public static native @ByVal uint4 make_uint4(@Cast("unsigned int") int x, @Cast("unsigned int") int y, @Cast("unsigned int") int z, @Cast("unsigned int") int w);
public static native @ByVal long1 make_long1(long x);
public static native @ByVal ulong1 make_ulong1(@Cast("unsigned long int") long x);
public static native @ByVal long2 make_long2(long x, long y);
public static native @ByVal ulong2 make_ulong2(@Cast("unsigned long int") long x, @Cast("unsigned long int") long y);
public static native @ByVal long3 make_long3(long x, long y, long z);
public static native @ByVal ulong3 make_ulong3(@Cast("unsigned long int") long x, @Cast("unsigned long int") long y, @Cast("unsigned long int") long z);
public static native @ByVal long4 make_long4(long x, long y, long z, long w);
public static native @ByVal ulong4 make_ulong4(@Cast("unsigned long int") long x, @Cast("unsigned long int") long y, @Cast("unsigned long int") long z, @Cast("unsigned long int") long w);
public static native @ByVal float1 make_float1(float x);
public static native @ByVal float2 make_float2(float x, float y);
public static native @ByVal float3 make_float3(float x, float y, float z);
public static native @ByVal float4 make_float4(float x, float y, float z, float w);
public static native @ByVal longlong1 make_longlong1(long x);
public static native @ByVal ulonglong1 make_ulonglong1(@Cast("unsigned long long int") long x);
public static native @ByVal longlong2 make_longlong2(long x, long y);
public static native @ByVal ulonglong2 make_ulonglong2(@Cast("unsigned long long int") long x, @Cast("unsigned long long int") long y);
public static native @ByVal longlong3 make_longlong3(long x, long y, long z);
public static native @ByVal ulonglong3 make_ulonglong3(@Cast("unsigned long long int") long x, @Cast("unsigned long long int") long y, @Cast("unsigned long long int") long z);
public static native @ByVal longlong4 make_longlong4(long x, long y, long z, long w);
public static native @ByVal ulonglong4 make_ulonglong4(@Cast("unsigned long long int") long x, @Cast("unsigned long long int") long y, @Cast("unsigned long long int") long z, @Cast("unsigned long long int") long w);
public static native @ByVal double1 make_double1(double x);
public static native @ByVal double2 make_double2(double x, double y);
public static native @ByVal double3 make_double3(double x, double y, double z);
public static native @ByVal double4 make_double4(double x, double y, double z, double w);
// #undef __VECTOR_FUNCTIONS_DECL__
// #if !defined(__CUDACC_RTC__)
// #include "vector_functions.hpp"
// #endif /* !__CUDACC_RTC__ */
// #endif /* !__VECTOR_FUNCTIONS_H__ */
// Parsed from
/*
* Copyright 1993-2012 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
// #if !defined(CU_COMPLEX_H_)
// #define CU_COMPLEX_H_
/* When trying to include C header file in C++ Code extern "C" is required
* But the Standard QNX headers already have ifdef extern in them when compiling C++ Code
* extern "C" cannot be nested
* Hence keep the header out of extern "C" block
*/
// #include /* import fabsf, sqrt */
// #if defined(__cplusplus)
// #endif /* __cplusplus */
// #include "vector_types.h"
public static native float cuCrealf(@ByVal @Cast("cuFloatComplex*") float2 x);
public static native float cuCimagf(@ByVal @Cast("cuFloatComplex*") float2 x);
public static native @ByVal @Cast("cuFloatComplex*") float2 make_cuFloatComplex(float r, float i);
public static native @ByVal @Cast("cuFloatComplex*") float2 cuConjf(@ByVal @Cast("cuFloatComplex*") float2 x);
public static native @ByVal @Cast("cuFloatComplex*") float2 cuCaddf(@ByVal @Cast("cuFloatComplex*") float2 x,
@ByVal @Cast("cuFloatComplex*") float2 y);
public static native @ByVal @Cast("cuFloatComplex*") float2 cuCsubf(@ByVal @Cast("cuFloatComplex*") float2 x,
@ByVal @Cast("cuFloatComplex*") float2 y);
/* This implementation could suffer from intermediate overflow even though
* the final result would be in range. However, various implementations do
* not guard against this (presumably to avoid losing performance), so we
* don't do it either to stay competitive.
*/
public static native @ByVal @Cast("cuFloatComplex*") float2 cuCmulf(@ByVal @Cast("cuFloatComplex*") float2 x,
@ByVal @Cast("cuFloatComplex*") float2 y);
/* This implementation guards against intermediate underflow and overflow
* by scaling. Such guarded implementations are usually the default for
* complex library implementations, with some also offering an unguarded,
* faster version.
*/
public static native @ByVal @Cast("cuFloatComplex*") float2 cuCdivf(@ByVal @Cast("cuFloatComplex*") float2 x,
@ByVal @Cast("cuFloatComplex*") float2 y);
/*
* We would like to call hypotf(), but it's not available on all platforms.
* This discrete implementation guards against intermediate underflow and
* overflow by scaling. Otherwise we would lose half the exponent range.
* There are various ways of doing guarded computation. For now chose the
* simplest and fastest solution, however this may suffer from inaccuracies
* if sqrt and division are not IEEE compliant.
*/
public static native float cuCabsf(@ByVal @Cast("cuFloatComplex*") float2 x);
/* Double precision */
public static native double cuCreal(@ByVal @Cast("cuDoubleComplex*") double2 x);
public static native double cuCimag(@ByVal @Cast("cuDoubleComplex*") double2 x);
public static native @ByVal @Cast("cuDoubleComplex*") double2 make_cuDoubleComplex(double r, double i);
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuConj(@ByVal @Cast("cuDoubleComplex*") double2 x);
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuCadd(@ByVal @Cast("cuDoubleComplex*") double2 x,
@ByVal @Cast("cuDoubleComplex*") double2 y);
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuCsub(@ByVal @Cast("cuDoubleComplex*") double2 x,
@ByVal @Cast("cuDoubleComplex*") double2 y);
/* This implementation could suffer from intermediate overflow even though
* the final result would be in range. However, various implementations do
* not guard against this (presumably to avoid losing performance), so we
* don't do it either to stay competitive.
*/
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuCmul(@ByVal @Cast("cuDoubleComplex*") double2 x,
@ByVal @Cast("cuDoubleComplex*") double2 y);
/* This implementation guards against intermediate underflow and overflow
* by scaling. Such guarded implementations are usually the default for
* complex library implementations, with some also offering an unguarded,
* faster version.
*/
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuCdiv(@ByVal @Cast("cuDoubleComplex*") double2 x,
@ByVal @Cast("cuDoubleComplex*") double2 y);
/* This implementation guards against intermediate underflow and overflow
* by scaling. Otherwise we would lose half the exponent range. There are
* various ways of doing guarded computation. For now chose the simplest
* and fastest solution, however this may suffer from inaccuracies if sqrt
* and division are not IEEE compliant.
*/
public static native double cuCabs(@ByVal @Cast("cuDoubleComplex*") double2 x);
// #if defined(__cplusplus)
// #endif /* __cplusplus */
/* aliases */
public static native @ByVal @Cast("cuComplex*") float2 make_cuComplex(float x,
float y);
/* float-to-double promotion */
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuComplexFloatToDouble(@ByVal @Cast("cuFloatComplex*") float2 c);
public static native @ByVal @Cast("cuFloatComplex*") float2 cuComplexDoubleToFloat(@ByVal @Cast("cuDoubleComplex*") double2 c);
public static native @ByVal @Cast("cuComplex*") float2 cuCfmaf( @ByVal @Cast("cuComplex*") float2 x, @ByVal @Cast("cuComplex*") float2 y, @ByVal @Cast("cuComplex*") float2 d);
public static native @ByVal @Cast("cuDoubleComplex*") double2 cuCfma( @ByVal @Cast("cuDoubleComplex*") double2 x, @ByVal @Cast("cuDoubleComplex*") double2 y, @ByVal @Cast("cuDoubleComplex*") double2 d);
// #endif /* !defined(CU_COMPLEX_H_) */
// Parsed from
/*
* Copyright 1993-2014 NVIDIA Corporation. All rights reserved.
*
* NOTICE TO LICENSEE:
*
* This source code and/or documentation ("Licensed Deliverables") are
* subject to NVIDIA intellectual property rights under U.S. and
* international Copyright laws.
*
* These Licensed Deliverables contained herein is PROPRIETARY and
* CONFIDENTIAL to NVIDIA and is being provided under the terms and
* conditions of a form of NVIDIA software license agreement by and
* between NVIDIA and Licensee ("License Agreement") or electronically
* accepted by Licensee. Notwithstanding any terms or conditions to
* the contrary in the License Agreement, reproduction or disclosure
* of the Licensed Deliverables to any third party without the express
* written consent of NVIDIA is prohibited.
*
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE
* SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS
* PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND.
* NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED
* DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY,
* NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE.
* NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE
* LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY
* SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY
* DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS,
* WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS
* ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE
* OF THESE LICENSED DELIVERABLES.
*
* U.S. Government End Users. These Licensed Deliverables are a
* "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT
* 1995), consisting of "commercial computer software" and "commercial
* computer software documentation" as such terms are used in 48
* C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government
* only as a commercial end item. Consistent with 48 C.F.R.12.212 and
* 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all
* U.S. Government End Users acquire the Licensed Deliverables with
* only those rights set forth herein.
*
* Any use of the Licensed Deliverables in individual and commercial
* software must include, in the user documentation and internal
* comments to the code, the above Disclaimer and U.S. Government End
* Users Notice.
*/
/**
* \defgroup CUDA_MATH_INTRINSIC_HALF Half Precision Intrinsics
* This section describes half precision intrinsic functions that are
* only supported in device code.
*/
/**
* \defgroup CUDA_MATH__HALF_ARITHMETIC Half Arithmetic Functions
* \ingroup CUDA_MATH_INTRINSIC_HALF
*/
/**
* \defgroup CUDA_MATH__HALF2_ARITHMETIC Half2 Arithmetic Functions
* \ingroup CUDA_MATH_INTRINSIC_HALF
*/
/**
* \defgroup CUDA_MATH__HALF_COMPARISON Half Comparison Functions
* \ingroup CUDA_MATH_INTRINSIC_HALF
*/
/**
* \defgroup CUDA_MATH__HALF2_COMPARISON Half2 Comparison Functions
* \ingroup CUDA_MATH_INTRINSIC_HALF
*/
/**
* \defgroup CUDA_MATH__HALF_MISC Half Precision Conversion And Data Movement
* \ingroup CUDA_MATH_INTRINSIC_HALF
*/
// #ifndef CUDA_FP16_H_JNESTUG4
// #define CUDA_FP16_H_JNESTUG4
public static class __half extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public __half() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public __half(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public __half(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public __half position(long position) {
return (__half)super.position(position);
}
public native @Cast("unsigned short") short x(); public native __half x(short x);
}
public static class __half2 extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public __half2() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public __half2(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public __half2(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public __half2 position(long position) {
return (__half2)super.position(position);
}
public native @Cast("unsigned int") int x(); public native __half2 x(int x);
}
// #ifndef CUDA_NO_HALF
// #endif /*CUDA_NO_HALF*/
// #if defined(__CUDACC__)
// #if !defined(__cplusplus)
// #include
// #endif /*!defined(__cplusplus)*/
// #if defined(__CUDACC_RTC__)
// #define __CUDA_FP16_DECL__ __host__ __device__
// #else /* !__CUDACC_RTC__ */
// #define __CUDA_FP16_DECL__ static __device__ __inline__
// #endif /* __CUDACC_RTC__ */
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts float number to half precision in round-to-nearest mode and
* returns \p half with converted value.
*
* Converts float number \p a to half precision in round-to-nearest mode.
*
* @return Returns \p half result with converted value.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts \p half number to float.
*
* Converts half number \p a to float.
*
* @return Returns float result with converted value.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts input to half precision in round-to-nearest mode and
* populates both halves of \p half2 with converted value.
*
* Converts input \p a to half precision in round-to-nearest mode and populates
* both halves of \p half2 with converted value.
*
* @return Returns \p half2 with both halves equal to the converted half
* precision number.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts both input floats to half precision in round-to-nearest mode
* and returns \p half2 with converted values.
*
* Converts both input floats to half precision in round-to-nearest mode and
* combines the results into one \p half2 number. Low 16 bits of the return
* value correspond to the input \p a, high 16 bits correspond to the input \p
* b.
*
* @return Returns \p half2 which has corresponding halves equal to the converted
* input floats.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts both components of float2 number to half precision in
* round-to-nearest mode and returns \p half2 with converted values.
*
* Converts both components of float2 to half precision in round-to-nearest mode
* and combines the results into one \p half2 number. Low 16 bits of the return
* value correspond to \p a.x and high 16 bits of the return value correspond to
* \p a.y.
*
* @return Returns \p half2 which has corresponding halves equal to the converted
* float2 components.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts both halves of \p half2 to float2 and returns the result.
*
* Converts both halves of \p half2 input \p a to float2 and returns the result.
*
* @return Returns converted float2.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts low 16 bits of \p half2 to float and returns the result
*
* Converts low 16 bits of \p half2 input \p a to 32 bit floating point number
* and returns the result.
*
* @return Returns low 16 bits of \p a converted to float.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Returns \p half2 with both halves equal to the input value.
*
* Returns \p half2 number with both halves equal to the input \p a \p half
* number.
*
* @return Returns \p half2 with both halves equal to the input \p a.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Converts high 16 bits of \p half2 to float and returns the result
*
* Converts high 16 bits of \p half2 input \p a to 32 bit floating point number
* and returns the result.
*
* @return Returns high 16 bits of \p a converted to float.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Swaps both halves of the \p half2 input.
*
* Swaps both halves of the \p half2 input and returns a new \p half2 number
* with swapped halves.
*
* @return Returns \p half2 with halves swapped.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Extracts low 16 bits from each of the two \p half2 inputs and combines
* into one \p half2 number.
*
* Extracts low 16 bits from each of the two \p half2 inputs and combines into
* one \p half2 number. Low 16 bits from input \p a is stored in low 16 bits of
* the return value, low 16 bits from input \p b is stored in high 16 bits of
* the return value.
*
* @return Returns \p half2 which contains low 16 bits from \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Extracts high 16 bits from each of the two \p half2 inputs and combines
* into one \p half2 number.
*
* Extracts high 16 bits from each of the two \p half2 inputs and combines into
* one \p half2 number. High 16 bits from input \p a is stored in low 16 bits of
* the return value, high 16 bits from input \p b is stored in high 16 bits of
* the return value.
*
* @return Returns \p half2 which contains high 16 bits from \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Returns high 16 bits of \p half2 input.
*
* Returns high 16 bits of \p half2 input \p a.
*
* @return Returns \p half which contains high 16 bits of the input.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Returns low 16 bits of \p half2 input.
*
* Returns low 16 bits of \p half2 input \p a.
*
* @return Returns \p half which contains low 16 bits of the input.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Checks if the input \p half number is infinite.
*
* Checks if the input \p half number \p a is infinite.
*
* @return Returns -1 iff \p a is equal to negative infinity, 1 iff \p a is
* equal to positive infinity and 0 otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Combines two \p half numbers into one \p half2 number.
*
* Combines two input \p half number \p a and \p b into one \p half2 number.
* Input \p a is stored in low 16 bits of the return value, input \p b is stored
* in high 16 bits of the return value.
*
* @return Returns \p half2 number which has one half equal to \p a and the
* other to \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Extracts low 16 bits from \p half2 input.
*
* Extracts low 16 bits from \p half2 input \p a and returns a new \p half2
* number which has both halves equal to the extracted bits.
*
* @return Returns \p half2 with both halves equal to low 16 bits from the input.
*/
/**
* \ingroup CUDA_MATH__HALF_MISC
* \brief Extracts high 16 bits from \p half2 input.
*
* Extracts high 16 bits from \p half2 input \p a and returns a new \p half2
* number which has both halves equal to the extracted bits.
*
* @return Returns \p half2 with both halves equal to high 16 bits from the
* input.
*/
// #if __CUDA_ARCH__ >= 300 || !defined(__CUDA_ARCH__)
// #endif /*__CUDA_ARCH__ >= 300 || !defined(__CUDA_ARCH__) */
// #if defined(__cplusplus) && ( __CUDA_ARCH__ >=320 || !defined(__CUDA_ARCH__) )
// #endif /*defined(__cplusplus) && ( __CUDA_ARCH__ >=320 || !defined(__CUDA_ARCH__) )*/
// #if __CUDA_ARCH__ >= 530 || !defined(__CUDA_ARCH__)
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs half2 vector if-equal comparison.
*
* Performs \p half2 vector if-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate false results.
*
* @return Returns the \p half2 vector result of if-equal comparison of vectors
* \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector not-equal comparison.
*
* Performs \p half2 vector not-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate false results.
*
* @return Returns the \p half2 vector result of not-equal comparison of vectors
* \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector less-equal comparison.
*
* Performs \p half2 vector less-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate false results.
*
* @return Returns the \p half2 vector result of less-equal comparison of
* vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector greater-equal comparison.
*
* Performs \p half2 vector greater-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate false results.
*
* @return Returns the \p half2 vector result of greater-equal comparison of
* vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector less-than comparison.
*
* Performs \p half2 vector less-than comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate false results.
*
* @return Returns the \p half2 vector result of less-than comparison of vectors
* \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector greater-than comparison.
*
* Performs \p half2 vector greater-than comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate false results.
*
* @return Returns the half2 vector result of greater-than comparison of vectors
* \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered if-equal comparison.
*
* Performs \p half2 vector if-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate true results.
*
* @return Returns the \p half2 vector result of unordered if-equal comparison
* of vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered not-equal comparison.
*
* Performs \p half2 vector not-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate true results.
*
* @return Returns the \p half2 vector result of unordered not-equal comparison
* of vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered less-equal comparison.
*
* Performs \p half2 vector less-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate true results.
*
* @return Returns the \p half2 vector result of unordered less-equal comparison
* of vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered greater-equal comparison.
*
* Performs \p half2 vector greater-equal comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate true results.
*
* @return Returns the \p half2 vector result of unordered greater-equal
* comparison of vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered less-than comparison.
*
* Performs \p half2 vector less-than comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate true results.
*
* @return Returns the \p half2 vector result of unordered less-than comparison
* of vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered greater-than comparison.
*
* Performs \p half2 vector greater-than comparison of inputs \p a and \p b.
* The corresponding \p half results are set to 1.0 for true, or 0.0 for false.
* NaN inputs generate true results.
*
* @return Returns the \p half2 vector result of unordered greater-than
* comparison of vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Determine whether \p half2 argument is a NaN.
*
* Determine whether each half of input \p half2 number \p a is a NaN.
*
* @return Returns \p half2 which has the corresponding \p half results set to
* 1.0 for true, or 0.0 for false.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector addition in round-to-nearest mode.
*
* Performs \p half2 vector add of inputs \p a and \p b, in round-to-nearest
* mode.
*
* @return Returns the \p half2 vector result of adding vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector subtraction in round-to-nearest mode.
*
* Subtracts \p half2 input vector \p b from input vector \p a in round-to-nearest
* mode.
*
* @return Returns the \p half2 vector result of subtraction vector \p b from \p
* a.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector multiplication in round-to-nearest mode.
*
* Performs \p half2 vector multiplication of inputs \p a and \p b, in
* round-to-nearest mode.
*
* @return Returns the \p half2 vector result of multiplying vectors \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector addition in round-to-nearest mode, with
* saturation to [0.0, 1.0].
*
* Performs \p half2 vector add of inputs \p a and \p b, in round-to-nearest mode,
* and clamps the results to range [0.0, 1.0]. NaN results are flushed to +0.0.
*
* @return Returns the \p half2 vector result of adding vectors \p a and \p b
* with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector subtraction in round-to-nearest mode, with
* saturation to [0.0, 1.0].
*
* Subtracts \p half2 input vector \p b from input vector \p a in round-to-nearest
* mode,
* and clamps the results to range [0.0, 1.0]. NaN results are flushed to +0.0.
*
* @return Returns the \p half2 vector result of subtraction vector \p b from \p a
* with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector multiplication in round-to-nearest mode, with
* saturation to [0.0, 1.0].
*
* Performs \p half2 vector multiplication of inputs \p a and \p b, in
* round-to-nearest mode, and clamps the results to range [0.0, 1.0]. NaN
* results are flushed to +0.0.
*
* @return Returns the \p half2 vector result of multiplying vectors \p a and \p
* b with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector fused multiply-add in round-to-nearest mode.
*
* Performs \p half2 vector multiply on inputs \p a and \p b,
* then performs a \p half2 vector add of the result with \p c,
* rounding the result once in round-to-nearest mode.
*
* @return Returns the \p half2 vector result of the fused multiply-add
* operation on vectors \p a, \p b, and \p c.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Performs \p half2 vector fused multiply-add in round-to-nearest mode,
* with saturation to [0.0, 1.0].
*
* Performs \p half2 vector multiply on inputs \p a and \p b,
* then performs a \p half2 vector add of the result with \p c,
* rounding the result once in round-to-nearest mode, and clamps the results to
* range [0.0, 1.0]. NaN results are flushed to +0.0.
*
* @return Returns the \p half2 vector result of the fused multiply-add
* operation on vectors \p a, \p b, and \p c with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF2_ARITHMETIC
* \brief Negates both halves of the input \p half2 number and returns the result.
*
* Negates both halves of the input \p half2 number \p a and returns the result.
*
* @return Returns \p half2 number with both halves negated.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half addition in round-to-nearest mode.
*
* Performs \p half addition of inputs \p a and \p b, in round-to-nearest mode.
*
* @return Returns the \p half result of adding \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half subtraction in round-to-nearest mode.
*
* Subtracts \p half input \p b from input \p a in round-to-nearest
* mode.
*
* @return Returns the \p half result of subtraction \p b from \p a.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half multiplication in round-to-nearest mode.
*
* Performs \p half multiplication of inputs \p a and \p b, in round-to-nearest
* mode.
*
* @return Returns the \p half result of multiplying \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half addition in round-to-nearest mode, with saturation to
* [0.0, 1.0].
*
* Performs \p half add of inputs \p a and \p b, in round-to-nearest mode,
* and clamps the result to range [0.0, 1.0]. NaN results are flushed to +0.0.
*
* @return Returns the \p half result of adding \p a and \p b with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half subtraction in round-to-nearest mode, with saturation
* to [0.0, 1.0].
*
* Subtracts \p half input \p b from input \p a in round-to-nearest
* mode,
* and clamps the result to range [0.0, 1.0]. NaN results are flushed to +0.0.
*
* @return Returns the \p half result of subtraction \p b from \p a
* with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half multiplication in round-to-nearest mode, with
* saturation to [0.0, 1.0].
*
* Performs \p half multiplication of inputs \p a and \p b, in round-to-nearest
* mode, and clamps the result to range [0.0, 1.0]. NaN results are flushed to
* +0.0.
*
* @return Returns the \p half result of multiplying \p a and \p b with
* saturation.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half fused multiply-add in round-to-nearest mode.
*
* Performs \p half multiply on inputs \p a and \p b,
* then performs a \p half add of the result with \p c,
* rounding the result once in round-to-nearest mode.
*
* @return Returns the \p half result of the fused multiply-add operation on \p
* a, \p b, and \p c.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Performs \p half fused multiply-add in round-to-nearest mode,
* with saturation to [0.0, 1.0].
*
* Performs \p half multiply on inputs \p a and \p b,
* then performs a \p half add of the result with \p c,
* rounding the result once in round-to-nearest mode, and clamps the result to
* range [0.0, 1.0]. NaN results are flushed to +0.0.
*
* @return Returns the \p half result of the fused multiply-add operation on \p
* a, \p b, and \p c with saturation.
*/
/**
* \ingroup CUDA_MATH__HALF_ARITHMETIC
* \brief Negates input \p half number and returns the result.
*
* Negates input \p half number and returns the result.
*
* @return Returns negated \p half input \p a.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector if-equal comparison, and returns boolean true
* iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector if-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half if-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate false results.
*
* @return Returns boolean true if both \p half results of if-equal comparison
* of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector not-equal comparison, and returns boolean
* true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector not-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half not-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate false results.
*
* @return Returns boolean true if both \p half results of not-equal comparison
* of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector less-equal comparison, and returns boolean
* true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector less-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half less-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate false results.
*
* @return Returns boolean true if both \p half results of less-equal comparison
* of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector greater-equal comparison, and returns boolean
* true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector greater-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half greater-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate false results.
*
* @return Returns boolean true if both \p half results of greater-equal
* comparison of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector less-than comparison, and returns boolean
* true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector less-than comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half less-than comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate false results.
*
* @return Returns boolean true if both \p half results of less-than comparison
* of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector greater-than comparison, and returns boolean
* true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector greater-than comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half greater-than comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate false results.
*
* @return Returns boolean true if both \p half results of greater-than
* comparison of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered if-equal comparison, and returns
* boolean true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector if-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half if-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate true results.
*
* @return Returns boolean true if both \p half results of unordered if-equal
* comparison of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered not-equal comparison, and returns
* boolean true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector not-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half not-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate true results.
*
* @return Returns boolean true if both \p half results of unordered not-equal
* comparison of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered less-equal comparison, and returns
* boolean true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector less-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half less-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate true results.
*
* @return Returns boolean true if both \p half results of unordered less-equal
* comparison of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered greater-equal comparison, and
* returns boolean true iff both \p half results are true, boolean false
* otherwise.
*
* Performs \p half2 vector greater-equal comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half greater-equal comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate true results.
*
* @return Returns boolean true if both \p half results of unordered
* greater-equal comparison of vectors \p a and \p b are true, boolean false
* otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered less-than comparison, and returns
* boolean true iff both \p half results are true, boolean false otherwise.
*
* Performs \p half2 vector less-than comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half less-than comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate true results.
*
* @return Returns boolean true if both \p half results of unordered less-than
* comparison of vectors \p a and \p b are true, boolean false otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF2_COMPARISON
* \brief Performs \p half2 vector unordered greater-than comparison, and
* returns boolean true iff both \p half results are true, boolean false
* otherwise.
*
* Performs \p half2 vector greater-than comparison of inputs \p a and \p b.
* The bool result is set to true only if both \p half greater-than comparisons
* evaluate to true, or false otherwise.
* NaN inputs generate true results.
*
* @return Returns boolean true if both \p half results of unordered
* greater-than comparison of vectors \p a and \p b are true, boolean false
* otherwise.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half if-equal comparison.
*
* Performs \p half if-equal comparison of inputs \p a and \p b.
* NaN inputs generate false results.
*
* @return Returns boolean result of if-equal comparison of \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half not-equal comparison.
*
* Performs \p half not-equal comparison of inputs \p a and \p b.
* NaN inputs generate false results.
*
* @return Returns boolean result of not-equal comparison of \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half less-equal comparison.
*
* Performs \p half less-equal comparison of inputs \p a and \p b.
* NaN inputs generate false results.
*
* @return Returns boolean result of less-equal comparison of \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half greater-equal comparison.
*
* Performs \p half greater-equal comparison of inputs \p a and \p b.
* NaN inputs generate false results.
*
* @return Returns boolean result of greater-equal comparison of \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half less-than comparison.
*
* Performs \p half less-than comparison of inputs \p a and \p b.
* NaN inputs generate false results.
*
* @return Returns boolean result of less-than comparison of \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half greater-than comparison.
*
* Performs \p half greater-than comparison of inputs \p a and \p b.
* NaN inputs generate false results.
*
* @return Returns boolean result of greater-than comparison of \p a and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half unordered if-equal comparison.
*
* Performs \p half if-equal comparison of inputs \p a and \p b.
* NaN inputs generate true results.
*
* @return Returns boolean result of unordered if-equal comparison of \p a and
* \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half unordered not-equal comparison.
*
* Performs \p half not-equal comparison of inputs \p a and \p b.
* NaN inputs generate true results.
*
* @return Returns boolean result of unordered not-equal comparison of \p a and
* \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half unordered less-equal comparison.
*
* Performs \p half less-equal comparison of inputs \p a and \p b.
* NaN inputs generate true results.
*
* @return Returns boolean result of unordered less-equal comparison of \p a and
* \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half unordered greater-equal comparison.
*
* Performs \p half greater-equal comparison of inputs \p a and \p b.
* NaN inputs generate true results.
*
* @return Returns boolean result of unordered greater-equal comparison of \p a
* and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half unordered less-than comparison.
*
* Performs \p half less-than comparison of inputs \p a and \p b.
* NaN inputs generate true results.
*
* @return Returns boolean result of unordered less-than comparison of \p a and
* \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Performs \p half unordered greater-than comparison.
*
* Performs \p half greater-than comparison of inputs \p a and \p b.
* NaN inputs generate true results.
*
* @return Returns boolean result of unordered greater-than comparison of \p a
* and \p b.
*/
/**
* \ingroup CUDA_MATH__HALF_COMPARISON
* \brief Determine whether \p half argument is a NaN.
*
* Determine whether \p half value \p a is a NaN.
*
* @return Returns boolean true iff argument is a NaN, boolean false otherwise.
*/
// #endif /*if __CUDA_ARCH__ >= 530 || !defined(__CUDA_ARCH__)*/
// #if __CUDA_ARCH__ >= 300 || !defined(__CUDA_ARCH__)
/******************************************************************************
* __half2 warp shuffle *
******************************************************************************/
// #define SHUFFLE_HALF2_MACRO(name) do {
// __half2 r;
// asm("{"#name" %0,%1,%2,%3;\n}"
// :"=r"(r.x): "r"(var.x), "r"(delta), "r"(c));
// return r;
// } while(0);
// #undef SHUFFLE_HALF2_MACRO
// #endif /*__CUDA_ARCH__ >= 300 || !defined(__CUDA_ARCH__)*/
/******************************************************************************
* __half and __half2 __ldg *
******************************************************************************/
// #if defined(__cplusplus) && (__CUDA_ARCH__ >= 320 || !defined(__CUDA_ARCH__))
// #if (defined(_MSC_VER) && defined(_WIN64)) || defined(__LP64__) || defined(__CUDACC_RTC__)
// #define __LDG_PTR "l"
// #else
// #define __LDG_PTR "r"
// #endif /*(defined(_MSC_VER) && defined(_WIN64)) || defined(__LP64__) || defined(__CUDACC_RTC__)*/
// #undef __LDG_PTR
// #endif /*defined(__cplusplus) && (__CUDA_ARCH__ >= 320 || !defined(__CUDA_ARCH__))*/
// #if __CUDA_ARCH__ >= 530 || !defined(__CUDA_ARCH__)
/******************************************************************************
* __half2 comparison *
******************************************************************************/
// #define COMPARISON_OP_HALF2_MACRO(name) do {
// __half2 val;
// asm( "{ "#name".f16x2.f16x2 %0,%1,%2;\n}"
// :"=r"(val.x) : "r"(a.x),"r"(b.x));
// return val;
// } while(0);
// #undef COMPARISON_OP_HALF2_MACRO
// #define BOOL_COMPARISON_OP_HALF2_MACRO(name) do {
// __half2 val;
// asm( "{ "#name".f16x2.f16x2 %0,%1,%2;\n}"
// :"=r"(val.x) : "r"(a.x),"r"(b.x));
// if (val.x == 0x3C003C00)
// return true;
// else
// return false;
// } while(0);
// #undef BOOL_COMPARISON_OP_HALF2_MACRO
/******************************************************************************
* __half comparison *
******************************************************************************/
// #define COMPARISON_OP_HALF_MACRO(name) do {
// unsigned short val;
// asm( "{ .reg .pred __$temp3;\n"
// " setp."#name".f16 __$temp3, %1, %2;\n"
// " selp.u16 %0, 1, 0, __$temp3;}"
// : "=h"(val) : "h"(a.x), "h"(b.x));
// return val ? true : false;
// } while(0);
// #undef COMPARISON_OP_HALF_MACRO
/******************************************************************************
* __half2 arithmetic *
******************************************************************************/
// #define BINARY_OP_HALF2_MACRO(name) do {
// __half2 val;
// asm( "{"#name".f16x2 %0,%1,%2;\n}"
// :"=r"(val.x) : "r"(a.x),"r"(b.x));
// return val;
// } while(0);
// #undef BINARY_OP_HALF2_MACRO
// #define TERNARY_OP_HALF2_MACRO(name) do {
// __half2 val;
// asm( "{"#name".f16x2 %0,%1,%2,%3;\n}"
// :"=r"(val.x) : "r"(a.x),"r"(b.x),"r"(c.x));
// return val;
// } while(0);
// #undef TERNARY_OP_HALF2_MACRO
/******************************************************************************
* __half arithmetic *
******************************************************************************/
// #define BINARY_OP_HALF_MACRO(name) do {
// __half val;
// asm( "{"#name".f16 %0,%1,%2;\n}"
// :"=h"(val.x) : "h"(a.x),"h"(b.x));
// return val;
// } while(0);
// #undef BINARY_OP_HALF_MACRO
// #define TERNARY_OP_HALF_MACRO(name) do {
// __half val;
// asm( "{"#name".f16 %0,%1,%2,%3;\n}"
// :"=h"(val.x) : "h"(a.x),"h"(b.x),"h"(c.x));
// return val;
// } while(0);
// #undef TERNARY_OP_HALF2_MACRO
// #endif /*__CUDA_ARCH__ >= 530 || !defined(__CUDA_ARCH__)*/
// #undef __CUDA_FP16_DECL__
// #endif /*defined(__CUDACC__)*/
// #endif /* end of include guard: CUDA_FP16_H_JNESTUG4 */
}