org.nd4j.linalg.api.blas.BlasBufferUtil Maven / Gradle / Ivy
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
package org.nd4j.linalg.api.blas;
import org.nd4j.linalg.api.buffer.DataBuffer;
import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.NDArrayFactory;
/**
* Blas buffer util for interopping with the underlying buffers
* and the given ndarrays
*
* @author Adam Gibson
*/
public class BlasBufferUtil {
/**
* Get blas stride for the
* given array
* @param arr the array
* @return the blas stride
*/
public static long getBlasOffset(INDArray arr) {
return arr.offset();
}
/**
* Get blas stride for the
* given array
* @param arr the array
* @return the blas stride
*/
public static int getBlasStride(INDArray arr) {
return arr.elementWiseStride();
}
/**
* Returns the float data
* for this ndarray.
* If possible (the offset is 0 representing the whole buffer)
* it will return a direct reference to the underlying array
* @param buf the ndarray to get the data for
* @return the float data for this ndarray
*/
public static float[] getFloatData(INDArray buf) {
if (buf.data().dataType() != DataType.FLOAT)
throw new IllegalArgumentException("Float data must be obtained from a float buffer");
if (buf.data().allocationMode() == DataBuffer.AllocationMode.HEAP) {
return buf.data().asFloat();
} else {
float[] ret = new float[(int) buf.length()];
INDArray linear = buf.reshape(-1);
for (int i = 0; i < buf.length(); i++)
ret[i] = linear.getFloat(i);
return ret;
}
}
/**
* Returns the double data
* for this ndarray.
* If possible (the offset is 0 representing the whole buffer)
* it will return a direct reference to the underlying array
* @param buf the ndarray to get the data for
* @return the double data for this ndarray
*/
public static double[] getDoubleData(INDArray buf) {
if (buf.data().dataType() != DataType.DOUBLE)
throw new IllegalArgumentException("Double data must be obtained from a double buffer");
if (buf.data().allocationMode() == DataBuffer.AllocationMode.HEAP) {
return buf.data().asDouble();
} else {
double[] ret = new double[(int) buf.length()];
INDArray linear = buf.reshape(-1);
for (int i = 0; i < buf.length(); i++)
ret[i] = linear.getDouble(i);
return ret;
}
}
/**
* Returns the proper character for
* how to interpret a buffer (fortran being N C being T)
* @param arr the array to get the transpose for
* @return the character for transpose of a particular
* array
*/
public static char getCharForTranspose(INDArray arr) {
return 'n';
}
/**
* Return the proper stride
* through a vector
* relative to the ordering of the array
* This is for incX/incY parameters in BLAS.
*
* @param arr the array to get the stride for
* @return the stride wrt the ordering
* for the given array
*/
public static int getStrideForOrdering(INDArray arr) {
if (arr.ordering() == NDArrayFactory.FORTRAN) {
return getBlasStride(arr);
} else {
return arr.stride(1);
}
}
/**
* Get the dimension associated with
* the given ordering.
*
* When working with blas routines, they typically assume
* c ordering, instead you can invert the rows/columns
* which enable you to do no copy blas operations.
*
*
*
* @param arr
* @param defaultRows
* @return
*/
public static long getDimension(INDArray arr, boolean defaultRows) {
//ignore ordering for vectors
if (arr.isVector()) {
return defaultRows ? arr.rows() : arr.columns();
}
if (arr.ordering() == NDArrayFactory.C)
return defaultRows ? arr.columns() : arr.rows();
return defaultRows ? arr.rows() : arr.columns();
}
/**
* Get the leading dimension
* for a blas invocation.
*
* The lead dimension is usually
* arr.size(0) (this is only for fortran ordering though).
* It can be size(1) (assuming matrix) for C ordering though.
* @param arr the array to
* @return the leading dimension wrt the ordering of the array
*
*/
public static int getLd(INDArray arr) {
//ignore ordering for vectors
if (arr.isVector()) {
return (int) arr.length();
}
return arr.ordering() == NDArrayFactory.C ? (int) arr.size(1) : (int) arr.size(0);
}
/**
* Returns the float data
* for this buffer.
* If possible (the offset is 0 representing the whole buffer)
* it will return a direct reference to the underlying array
* @param buf the ndarray to get the data for
* @return the double data for this ndarray
*/
public static float[] getFloatData(DataBuffer buf) {
if (buf.allocationMode() == DataBuffer.AllocationMode.HEAP) {
return buf.asFloat();
} else {
float[] ret = new float[(int) buf.length()];
for (int i = 0; i < buf.length(); i++)
ret[i] = buf.getFloat(i);
return ret;
}
}
/**
* Returns the double data
* for this buffer.
* If possible (the offset is 0 representing the whole buffer)
* it will return a direct reference to the underlying array
* @param buf the ndarray to get the data for
* @return the double data for this buffer
*/
public static double[] getDoubleData(DataBuffer buf) {
if (buf.allocationMode() == DataBuffer.AllocationMode.HEAP)
return buf.asDouble();
else {
double[] ret = new double[(int) buf.length()];
for (int i = 0; i < buf.length(); i++)
ret[i] = buf.getDouble(i);
return ret;
}
}
/**
* Set the data for the underlying array.
* If the underlying buffer's array is equivalent to this array
* it returns (avoiding an unneccessary copy)
*
* If the underlying storage mechanism isn't heap (no arrays)
* it just copied the data over (strided access with offsets where neccessary)
*
* This is meant to be used with blas operations where the underlying blas implementation
* takes an array but the data buffer being used might not be an array.
*
* This is also for situations where there is strided access and it's not
* optimal to want to use the whole data buffer but just the subset of the
* buffer needed for calculations.
*
*
* @param data the data to set
* @param toSet the array to set the data to
*/
public static void setData(float[] data, INDArray toSet) {
if (toSet.data().dataType() != DataType.FLOAT) {
throw new IllegalArgumentException("Unable to set double data for opType " + toSet.data().dataType());
}
if (toSet.data().allocationMode() == DataBuffer.AllocationMode.HEAP) {
Object array = toSet.data().array();
//data is assumed to have already been updated
if (array == data)
return;
else {
//copy the data over directly to the underlying array
float[] d = (float[]) array;
if (toSet.offset() == 0 && toSet.length() == data.length)
System.arraycopy(data, 0, d, 0, d.length);
else {
int count = 0;
//need to do strided access with offset
for (int i = 0; i < data.length; i++) {
// FIXME: LONG
int dIndex = (int) toSet.offset() + (i * toSet.stride(-1));
d[dIndex] = data[count++];
}
}
}
} else {
//assumes the underlying data is in the right order
DataBuffer underlyingData = toSet.data();
if (data.length == toSet.length() && toSet.offset() == 0) {
for (int i = 0; i < toSet.length(); i++) {
underlyingData.put(i, data[i]);
}
} else {
int count = 0;
//need to do strided access with offset
for (int i = 0; i < data.length; i++) {
// FIXME: LONG
int dIndex = (int) toSet.offset() + (i * toSet.stride(-1));
underlyingData.put(dIndex, data[count++]);
}
}
}
}
/**
* Set the data for the underlying array.
* If the underlying buffer's array is equivalent to this array
* it returns (avoiding an unneccessary copy)
*
* If the underlying storage mechanism isn't heap (no arrays)
* it just copied the data over (strided access with offsets where neccessary)
*
* This is meant to be used with blas operations where the underlying blas implementation
* takes an array but the data buffer being used might not be an array.
*
* This is also for situations where there is strided access and it's not
* optimal to want to use the whole data buffer but just the subset of the
* buffer needed for calculations.
*
*
* @param data the data to set
* @param toSet the array to set the data to
*/
public static void setData(double[] data, INDArray toSet) {
if (toSet.data().dataType() != DataType.DOUBLE) {
throw new IllegalArgumentException("Unable to set double data for opType " + toSet.data().dataType());
}
if (toSet.data().allocationMode() == DataBuffer.AllocationMode.HEAP) {
Object array = toSet.data().array();
//data is assumed to have already been updated
if (array == data)
return;
else {
//copy the data over directly to the underlying array
double[] d = (double[]) array;
if (toSet.offset() == 0 && toSet.length() == data.length)
System.arraycopy(data, 0, d, 0, d.length);
else {
int count = 0;
//need to do strided access with offset
for (int i = 0; i < data.length; i++) {
// FIXME: LONG
int dIndex = (int) toSet.offset() + (i * toSet.stride(-1));
d[dIndex] = data[count++];
}
}
}
} else {
//assumes the underlying data is in the right order
DataBuffer underlyingData = toSet.data();
if (data.length == toSet.length() && toSet.offset() == 0) {
for (int i = 0; i < toSet.length(); i++) {
underlyingData.put(i, data[i]);
}
} else {
int count = 0;
//need to do strided access with offset
for (int i = 0; i < data.length; i++) {
// FIXME: LONG
int dIndex = (int) toSet.offset() + (i * toSet.stride(-1));
underlyingData.put(dIndex, data[count++]);
}
}
}
}
}
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