
org.bytedeco.cuda.cublas.cublasLtMatmulAlgo_t Maven / Gradle / Ivy
// Targeted by JavaCPP version 1.5.11: DO NOT EDIT THIS FILE
package org.bytedeco.cuda.cublas;
import java.nio.*;
import org.bytedeco.javacpp.*;
import org.bytedeco.javacpp.annotation.*;
import static org.bytedeco.javacpp.presets.javacpp.*;
import org.bytedeco.cuda.cudart.*;
import static org.bytedeco.cuda.global.cudart.*;
import static org.bytedeco.cuda.global.cublas.*;
/** Semi-opaque algorithm descriptor (to avoid complicated alloc/free schemes)
*
* This structure can be trivially serialized and later restored for use with the same version of cuBLAS library to save
* on selecting the right configuration again.
*/
@Properties(inherit = org.bytedeco.cuda.presets.cublas.class)
public class cublasLtMatmulAlgo_t extends Pointer {
static { Loader.load(); }
/** Default native constructor. */
public cublasLtMatmulAlgo_t() { super((Pointer)null); allocate(); }
/** Native array allocator. Access with {@link Pointer#position(long)}. */
public cublasLtMatmulAlgo_t(long size) { super((Pointer)null); allocateArray(size); }
/** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
public cublasLtMatmulAlgo_t(Pointer p) { super(p); }
private native void allocate();
private native void allocateArray(long size);
@Override public cublasLtMatmulAlgo_t position(long position) {
return (cublasLtMatmulAlgo_t)super.position(position);
}
@Override public cublasLtMatmulAlgo_t getPointer(long i) {
return new cublasLtMatmulAlgo_t((Pointer)this).offsetAddress(i);
}
public native @Cast("uint64_t") long data(int i); public native cublasLtMatmulAlgo_t data(int i, long setter);
@MemberGetter public native @Cast("uint64_t*") LongPointer data();
}
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