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cavis/libnd4j/blas/cuda/NativeOps.cu

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/*******************************************************************************
* 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
******************************************************************************/
#include "NativeOpExecutioner.h"
#include "../NativeOps.h"
#include <cuda.h>
#include <buffer.h>
#include <loops/transform_any.h>
#include <loops/reduce_bool.h>
#include <loops/reduce_long.h>
#include <loops/scalar.h>
#include <helpers/threshold.h>
#include <ops/specials_cuda.h>
#include <helpers/DebugHelper.h>
#include <AffinityManager.h>
#include <exceptions/datatype_exception.h>
#include <exceptions/cuda_exception.h>
#include <helpers/CudaLaunchHelper.h>
#include <GraphExecutioner.h>
#include <helpers/BlasHelper.h>
#include <graph/GraphHolder.h>
#include <ops/declarable/CustomOperations.h>
#include <PointersManager.h>
//#include <sys/time.h>
#include <curand.h>
#include <Status.h>
#include <helpers/DebugHelper.h>
using namespace nd4j;
#include <loops/special_kernels.h>
#include <performance/benchmarking/FullBenchmarkSuit.h>
#include <performance/benchmarking/LightBenchmarkSuit.h>
cudaDeviceProp *deviceProperties;
cudaFuncAttributes *funcAttributes = new cudaFuncAttributes[64];
int blockLimit = 128;
int maxThreads = 512;
bool allowedP2P = false;
bool supportedP2P = false;
#ifdef __ND4J_EXPERIMENTAL__
bool experimentalSupport = true;
#else
bool experimentalSupport = false;
#endif
int minThreads = 32;
__constant__ char deviceConstantMemory[49152];
// this method just does type conversion in fancy way
int getDeviceId(Nd4jPointer ptrToDeviceId) {
return (int)(Nd4jLong)ptrToDeviceId;
}
/*
* Basic CUDA constants here: number of blocks per MP
*/
int getDeviceBlockThreshold(int deviceId) {
int ccMinor = deviceProperties[deviceId].minor;
int ccMajor = deviceProperties[deviceId].major;
int blockThreshold = 8;
if (ccMajor >= 5)
blockThreshold = 32;
else if (ccMajor == 3)
blockThreshold = 16;
else if (ccMajor < 3)
blockThreshold = 8;
return blockThreshold;
}
/*
* This message returns shared memory threshold value. default overflow ratio is 0.3
*/
int getDeviceSharedThreshold(int deviceId) {
int ccMinor = deviceProperties[deviceId].minor;
int ccMajor = deviceProperties[deviceId].major;
// please note threshold isn't multiple of 32, and that's NOT a mistake
int shmemThreshold;
if (ccMajor == 6 && ccMinor == 0)
shmemThreshold = 65536;
else if (ccMajor == 6 && ccMinor == 1)
shmemThreshold = 49152;
else if (ccMajor == 5 && ccMinor == 2)
shmemThreshold = 98304;
else if (ccMajor == 5)
shmemThreshold = 65536;
else if (ccMajor == 3 && ccMinor == 7)
shmemThreshold = 114688;
else shmemThreshold = 49152;
return shmemThreshold / 0.3;
}
nd4j::buffer::Buffer<Nd4jLong> * createScalarBuffer(cudaStream_t stream) {
Nd4jLong *scalarShapeInfo = shape::createScalarShapeInfo();
nd4j::buffer::Buffer<Nd4jLong> *buff = nd4j::buffer::createBuffer(scalarShapeInfo,shape::shapeInfoLength(2), stream);
nd4j::buffer::copyDataToGpu(&buff, stream);
return buff;
}
class ScalarShapeInformation {
private:
nd4j::buffer::Buffer<Nd4jLong> *scalarDimension;
nd4j::buffer::Buffer<Nd4jLong> *scalarShapeInfo;
// std::thread::id threadId;
public:
ScalarShapeInformation(cudaStream_t stream) {
auto scalarDimensionBuff = reinterpret_cast<Nd4jLong *>(malloc(sizeof(Nd4jLong)));
CHECK_ALLOC(scalarDimensionBuff, "Failed to allocate ShapeInfoBuffer", sizeof(Nd4jLong));
scalarDimensionBuff[0] = MAX_DIMENSION;
scalarDimension = nd4j::buffer::createBuffer(scalarDimensionBuff,1, stream);
scalarShapeInfo = createScalarBuffer(stream);
// threadId = std::this_thread::get_id();
}
~ScalarShapeInformation() {
nd4j::buffer::freeBuffer(&scalarShapeInfo);
nd4j::buffer::freeBuffer(&scalarDimension);
}
Nd4jLong *getShapeInfoHostPointer() {
return scalarShapeInfo->data;
}
Nd4jLong * getShapeInfoGpuPointer() {
return scalarShapeInfo->gData;
}
Nd4jLong * getDimensionHostPointer() {
return scalarDimension->data;
}
Nd4jLong * getDimensionGpuPointer() {
return scalarDimension->gData;
}
};
template <typename T>
class ScalarInfo {
nd4j::buffer::Buffer<T> *scalarData;
ScalarShapeInformation *shapeInfo;
T finalResult;
cudaStream_t streamRef;
public:
ScalarInfo(cudaStream_t stream) {
T *scalarResult = reinterpret_cast<T*>(malloc(sizeof(T)));
CHECK_ALLOC(scalarResult, "Failed to allocate new scalar buffer", sizeof(T));
shapeInfo = new ScalarShapeInformation(stream);
scalarData = nd4j::buffer::createBuffer(scalarResult,1, stream);
streamRef = stream;
nd4j::buffer::copyDataToGpu(&scalarData, stream);
}
T getFinalResultFromDevice() {
nd4j::buffer::copyDataFromGpu(&scalarData, streamRef);
return scalarData->data[0];
}
/**
* Get the device shape information
* representing a scalar
*/
Nd4jLong *getDeviceShapeInfo() {
return shapeInfo->getShapeInfoGpuPointer();
}
/**
* Get the dZ pointers
*/
T *getDevicePointer() {
return scalarData->gData;
}
/**
* Get the infinite dimension device pointer
*/
Nd4jLong *getDimensionDevicePointer() {
return shapeInfo->getDimensionGpuPointer();
}
~ScalarInfo() {
nd4j::buffer::freeBuffer(&scalarData);
delete shapeInfo;
}
};
void execPairwiseTransform( Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execPairwiseTransform(&lc, opNum, dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(), extraParams);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execPairwiseTransformBool(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execPairwiseBoolTransform(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execSummaryStatsScalar(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
bool biasCorrected) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execSummaryStatsScalar(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
biasCorrected);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execBroadcastBool(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto hTADShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[9]);
auto tadOnlyShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[10]);
auto tadOffsets = reinterpret_cast<Nd4jLong *>(extraPointers[11]);
auto tadOnlyShapeInfoZ = reinterpret_cast<Nd4jLong *>(extraPointers[12]);
auto tadOffsetsZ = reinterpret_cast<Nd4jLong *>(extraPointers[13]);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execBroadcastBool(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dimension, dimensionLength,
tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
/**
*
* @param opNum
* @param dX
* @param dXShapeInfo
* @param dY
* @param dYShapeInfo
* @param dZ
* @param dZShapeInfo
* @param dimension
* @param dimensionLength
*/
void execBroadcast(
Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto hTADShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[9]);
auto tadOnlyShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[10]);
auto tadOffsets = reinterpret_cast<Nd4jLong *>(extraPointers[11]);
auto tadOnlyShapeInfoZ = reinterpret_cast<Nd4jLong *>(extraPointers[12]);
auto tadOffsetsZ = reinterpret_cast<Nd4jLong *>(extraPointers[13]);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
auto yType = nd4j::ArrayOptions::dataType(hYShapeInfo);
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execBroadcast(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
/**
*
* @param opNum
* @param dX
* @param dXShapeInfo
* @param extraParams
* @param dZ
* @param dZShapeInfo
*/
////////////////////////////////////////////////////////////////////////
void execReduceFloat(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduceFloatScalar(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduceSame(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduceSameScalar(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduceSame2(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo,
dimension,
shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduceSame(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadPack.specialShapeInfo(), tadPack.specialOffsets());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduceLong2(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo,
dimension,
shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduceLong(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadPack.specialShapeInfo(), tadPack.specialOffsets());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduceLong(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto hTADShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[9]);
auto dTADShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[10]);
auto reductionPointer = reinterpret_cast<void *>(extraPointers[4]);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
if (zType != nd4j::DataType::INT64)
throw datatype_exception::build("execReduceLong wrong Z data type", nd4j::DataType::INT64, zType);
auto xLength = shape::length(hXShapeInfo);
auto blockWidth = 256;
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
dim3 launchDims(numBlocks, blockWidth, 32768);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceLongFunction,
::execReduceScalar(launchDims, stream, opNum,
dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(), hXShapeInfo,
extraParams,
dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(), hXShapeInfo,
nullptr, 0, reductionPointer, dTADShapeInfo), LIBND4J_TYPES, LONG_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "execReduceLong(...) failed");
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduceBool2(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo,
dimension,
shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduceBool(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadPack.specialShapeInfo(), tadPack.specialOffsets());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduceBool(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto hTADShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[9]);
auto dTADShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers[10]);
auto reductionPointer = reinterpret_cast<void *>(extraPointers[4]);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
if (zType != nd4j::DataType::BOOL)
throw std::runtime_error("execReduceBool requires Z operand to have BOOL type");
auto xLength = shape::length(hXShapeInfo);
auto blockWidth = 256;
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
dim3 launchDims(numBlocks, blockWidth, 32768);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceBoolFunction,
::execReduceScalar(launchDims, stream, opNum,
dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(), hXShapeInfo,
extraParams,
dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(), hZShapeInfo,
nullptr, 0, reductionPointer, dTADShapeInfo), LIBND4J_TYPES, BOOL_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "execReduceBool(...) failed");
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
/**
*
* @param opNum
* @param dX
* @param dXShapeInfo
* @param extraParams
* @param dZ
* @param dZShapeInfo
* @param dimension
* @param dimensionLength
*/
////////////////////////////////////////////////////////////////////////
void execIndexReduce(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo,
dimension,
shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execIndexReduce(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
(int *) dbDimension->special(), dimensionLength,
tadPack.specialShapeInfo(), tadPack.specialOffsets());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
/**
*
* @param opNum
* @param dX
* @param dXShapeInfo
* @param extraParams
* @param dZ
* @param dZShapeInfo
*/
////////////////////////////////////////////////////////////////////////
void execReduceFloat2(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo,
dimension,
shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduceFloat(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadPack.specialShapeInfo(), tadPack.specialOffsets());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
/**
*
* @param opNum
* @param dX
* @param dXShapeInfo
* @param extraParams
*/
////////////////////////////////////////////////////////////////////////
void execIndexReduceScalar(
Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo){
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execIndexReduceScalar(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execTransformSame(Nd4jPointer *extraPointers,int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto tadShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[0] : nullptr);
auto tadOffsets = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[1] : nullptr);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execTransformSame(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
tadShapeInfo, tadOffsets);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execTransformBool(Nd4jPointer *extraPointers,int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto tadShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[0] : nullptr);
auto tadOffsets = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[1] : nullptr);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execTransformBool(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
tadShapeInfo, tadOffsets);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execTransformAny(Nd4jPointer *extraPointers,int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto streamSpecial = reinterpret_cast<cudaStream_t &>(extraPointers[4]);
LaunchContext lc(stream, streamSpecial, extraPointers[5], extraPointers[3],
reinterpret_cast<int *>(extraPointers[6]));
NativeOpExecutioner::execTransformAny(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
nullptr, nullptr);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execTransformStrict(Nd4jPointer *extraPointers,int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto tadShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[10] : nullptr);
auto tadOffsets = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[11] : nullptr);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execTransformStrict(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
tadShapeInfo, tadOffsets);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execTransformFloat(Nd4jPointer *extraPointers,int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
auto tadShapeInfo = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[10] : nullptr);
auto tadOffsets = reinterpret_cast<Nd4jLong *>(extraPointers != nullptr ? extraPointers[11] : nullptr);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execTransformFloat(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
tadShapeInfo, tadOffsets);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void checkP2P() {
int curDevice = 0;
cudaGetDevice(&curDevice);
int devCnt = 0;
cudaGetDeviceCount(&devCnt);
if (curDevice < 0 && curDevice > devCnt)
curDevice = 0;
bool tempSupport = true;
if (devCnt > 1) {
for (int dX = 0; dX < devCnt; dX++) {
for (int dY = 0; dY < devCnt; dY++) {
if (dX == dY)
continue;
int canAccess = 0;
cudaSetDevice(dX);
cudaDeviceCanAccessPeer(&canAccess, dX , dY);
if (!canAccess) {
tempSupport = false;
break;
}
}
}
supportedP2P = tempSupport;
cudaSetDevice(curDevice);
} else {
// if we have only 1 device - we say that we support P2P, since all data will be on 1 device
supportedP2P = true;
}
}
void enableP2P(bool enable) {
if (enable == allowedP2P)
return;
int curDevice = 0;
cudaGetDevice(&curDevice);
int devCnt = 0;
cudaGetDeviceCount(&devCnt);
if (curDevice < 0 && curDevice > devCnt)
curDevice = 0;
if (devCnt > 1) {
for (int dX = 0; dX < devCnt; dX++) {
for (int dY = 0; dY < devCnt; dY++) {
if (dX == dY)
continue;
int canAccess = 0;
cudaSetDevice(dX);
cudaDeviceCanAccessPeer(&canAccess, dX , dY);
if (canAccess) {
if (enable) {
cudaDeviceEnablePeerAccess(dY, 0);
} else {
cudaDeviceDisablePeerAccess(dY);
}
} else {
if (nd4j::Environment::getInstance()->isVerbose()) printf("Peer access [%i] -> [%i] isn't possible\n", dX, dY);
}
}
}
cudaSetDevice(curDevice);
}
allowedP2P = enable;
cudaSetDevice(curDevice);
}
bool isP2PAvailable() {
return supportedP2P;
}
void initializeDevicesAndFunctions() {
try {
int devCnt = 0;
cudaGetDeviceCount(&devCnt);
deviceProperties = new cudaDeviceProp[devCnt];
for (int i = 0; i < devCnt; i++) {
cudaSetDevice(i);
cudaGetDeviceProperties(&deviceProperties[i], i);
cudaDeviceSetLimit(cudaLimitStackSize, 4096);
}
cudaSetDevice(0);
checkP2P();
// enabling p2p gpu access if it's supported
if (supportedP2P && devCnt > 1)
enableP2P(allowedP2P);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void initializeFunctions(Nd4jPointer *functions) {
nd4j::BlasHelper::getInstance()->initializeDeviceFunctions(functions);
/*
cublasSgemv = (CublasSgemv)functions[0];
cublasDgemv = (CublasDgemv)functions[1];
cublasHgemm = (CublasHgemm)functions[2];
cublasSgemm = (CublasSgemm)functions[3];
cublasDgemm = (CublasDgemm)functions[4];
cublasSgemmEx = (CublasSgemmEx)functions[5];
cublasHgemmBatched = (CublasHgemmBatched)functions[6];
cublasSgemmBatched = (CublasSgemmBatched)functions[7];
cublasDgemmBatched = (CublasDgemmBatched)functions[8];
*/
}
/**
* This method acquires memory chunk of requested size on host side
*
* @param pointer pointer that'll be used for allocation
* @param memorySize memory size, in bytes
* @param flags optional parameter
*/
Nd4jPointer mallocHost(Nd4jLong memorySize, int flags) {
Nd4jPointer pointer;
// cudaHostAllocMapped |cudaHostAllocPortable
auto res = cudaHostAlloc(reinterpret_cast<void **>(&pointer), memorySize + 8, cudaHostAllocDefault);
if (res != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(res);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaHostAlloc failed");
}
return reinterpret_cast<int8_t*>(pointer);
}
/**
* This method acquires memory chunk of requested size on specified device
*
* @param pointer pointer that'll be used for allocation
* @param memorySize memory size, in bytes
* @param ptrToDeviceId pointer to deviceId. For cuda that's just and int, for OpenCL that's pointer to device_id, etc
* @param flags optional parameter
*/
Nd4jPointer mallocDevice(Nd4jLong memorySize, int deviceId, int flags) {
Nd4jPointer pointer;
auto res = cudaMalloc(reinterpret_cast<void **>(&pointer), memorySize + 8);
if (res != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(res);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaMalloc failed");
}
return reinterpret_cast<int8_t*>(pointer);
}
/**
* This method releases previously allocated host memory space
*
* @param pointer pointer that'll be freed
*/
int freeHost(Nd4jPointer pointer) {
auto res = cudaFreeHost(reinterpret_cast<void *>(pointer));
if (res != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(res);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaFreeHost failed");
}
return 1L;
}
/**
* This method releases previously allocated memory space on device
*
* @param pointer pointer that'll be freed
* @param ptrToDeviceId pointer to deviceId.
*/
int freeDevice(Nd4jPointer pointer, int deviceId) {
auto res = cudaFree(reinterpret_cast<void *>(pointer));
// we're intentionally skipping
if (res != 0 && res != 1) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(res);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaFree failed");
}
return res == 0 ? 1L : 0L;
}
Nd4jPointer createContext() {
return 0L;
}
Nd4jPointer createStream() {
auto stream = new cudaStream_t();
auto dZ = cudaStreamCreate(stream);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaStreamCreate failed");
}
return stream;
}
Nd4jPointer createEvent() {
Nd4jPointer nativeEvent= (Nd4jPointer) malloc(sizeof(cudaEvent_t));
CHECK_ALLOC(nativeEvent, "Failed to allocate new CUDA event buffer", sizeof(cudaEvent_t));
auto dZ = cudaEventCreateWithFlags(reinterpret_cast<cudaEvent_t *>(&nativeEvent), cudaEventDisableTiming);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaEventCreateWithFlags failed");
}
return nativeEvent;
}
int registerEvent(Nd4jPointer event, Nd4jPointer stream) {
auto pEvent = reinterpret_cast<cudaEvent_t *>(&event);
auto pStream = reinterpret_cast<cudaStream_t *>(stream);
auto dZ = cudaEventRecord(*pEvent, *pStream);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaEventRecord failed");
}
return 1;
}
int setDevice(int deviceId) {
AffinityManager::setCurrentDevice(deviceId);
return 1;
}
Nd4jLong getDeviceFreeMemoryDefault() {
size_t memFree = 0;
size_t memTotal = 0;
cudaMemGetInfo(&memFree, &memTotal);
return (Nd4jLong) memFree;
}
Nd4jLong getDeviceFreeMemory(int device) {
int orig = -1;
cudaGetDevice(&orig);
if (device >= 0 && device != orig) {
cudaSetDevice(device);
}
size_t memFree = 0;
size_t memTotal = 0;
cudaMemGetInfo(&memFree, &memTotal);
if (device >= 0 && device != orig) {
cudaSetDevice(orig);
}
return (Nd4jLong) memFree;
}
Nd4jLong getDeviceTotalMemory(int device) {
int orig = -1;
cudaGetDevice(&orig);
if (device >= 0 && device != orig) {
cudaSetDevice(device);
}
size_t memFree = 0;
size_t memTotal = 0;
cudaMemGetInfo(&memFree, &memTotal);
if (device >= 0 && device != orig) {
cudaSetDevice(orig);
}
return (Nd4jLong) memTotal;
}
int memcpySync(Nd4jPointer dst, Nd4jPointer src, Nd4jLong size, int flags, Nd4jPointer reserved) {
cudaMemcpyKind kind;
switch (flags) {
case 0: {
kind = cudaMemcpyHostToHost;
}
break;
case 1: {
kind = cudaMemcpyHostToDevice;
}
break;
case 2: {
kind = cudaMemcpyDeviceToHost;
}
break;
case 3: {
kind = cudaMemcpyDeviceToDevice;
}
break;
default: {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("UNDEFNED MEMCPY");
return 0;
}
}
auto dZ = cudaMemcpy(reinterpret_cast<void *>(dst), const_cast<const void *>(reinterpret_cast<void *>(src)), static_cast<size_t>(size), kind);
if (dZ != 0) {
printf("Failed on [%p] -> [%p], size: [%i], direction: [%i], dZ: [%i]\n", src, dst, size, flags, static_cast<int>(dZ));
fflush(stdout);
fflush(stderr);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaMemcpy failed");
return 0;
}
return 1;
}
int memcpyAsync(Nd4jPointer dst, Nd4jPointer src, Nd4jLong size, int flags, Nd4jPointer reserved) {
auto pStream = reinterpret_cast<cudaStream_t *>(reserved);
cudaMemcpyKind kind;
//nd4j::DebugHelper::checkErrorCode(pStream, "Preliminary sync failed");
switch (flags) {
case 0: {
kind = cudaMemcpyHostToHost;
}
break;
case 1: {
kind = cudaMemcpyHostToDevice;
}
break;
case 2: {
kind = cudaMemcpyDeviceToHost;
}
break;
case 3: {
kind = cudaMemcpyDeviceToDevice;
}
break;
default: {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("UNDEFNED MEMCPY");
return 0;
}
}
auto dZ = cudaMemcpyAsync(reinterpret_cast<void *>(dst), const_cast<const void *>(reinterpret_cast<void *>(src)), static_cast<size_t>(size), kind, *pStream);
//auto dZ = cudaMemcpy(reinterpret_cast<void *>(dst), const_cast<const void *>(reinterpret_cast<void *>(src)), static_cast<size_t>(size), kind);
if (dZ != 0) {
printf("Failed on [%p] -> [%p], size: [%i], direction: [%i], dZ: [%i]\n", src, dst, size, flags, static_cast<int>(dZ));
fflush(stdout);
fflush(stderr);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaMemcpyAsync failed");
return 0;
}
return 1;
}
int memsetSync(Nd4jPointer dst, int value, Nd4jLong size, int flags, Nd4jPointer reserved) {
auto dZ = cudaMemset(reinterpret_cast<void *>(dst), value, static_cast<size_t>(size));
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaMemset failed");
}
return 1;
}
int memsetAsync(Nd4jPointer dst, int value, Nd4jLong size, int flags, Nd4jPointer reserved) {
auto pStream = reinterpret_cast<cudaStream_t *>(reserved);
auto dZ = cudaMemsetAsync(reinterpret_cast<void *>(dst), value, static_cast<size_t>(size), *pStream);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaMemsetAsync failed");
}
return 1;
}
int destroyEvent(Nd4jPointer event) {
auto pEvent = reinterpret_cast<cudaEvent_t *>(&event);
auto dZ = cudaEventDestroy(*pEvent);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaEventDestroy failed");
}
return 1;
}
int streamSynchronize(Nd4jPointer stream) {
auto pStream = reinterpret_cast<cudaStream_t *>(stream);
auto dZ = cudaStreamSynchronize(*pStream);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaStreamSynchronize failed");
}
return 1L;
}
int eventSynchronize(Nd4jPointer event) {
auto pEvent = reinterpret_cast<cudaEvent_t *>(&event);
auto dZ = cudaEventSynchronize(*pEvent);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaEventSynchronize failed");
}
return 1L;
}
int getAvailableDevices() {
int devCnt = 0;
cudaGetDeviceCount(&devCnt);
return devCnt;
}
void enableDebugMode(bool reallyEnable) {
nd4j::Environment::getInstance()->setDebug(reallyEnable);
}
void setGridLimit(int gridSize) {
if (gridSize > 8192)
gridSize = 8192;
if (gridSize < 1)
gridSize = 1;
blockLimit = gridSize;
}
int ompGetMaxThreads() {
return maxThreads;
}
int ompGetNumThreads() {
return maxThreads;
}
void setOmpNumThreads(int threads) {
if (threads > 1024)
threads = 1024;
if (threads < 32)
threads = 32;
maxThreads = threads;
}
void enableVerboseMode(bool reallyEnable) {
nd4j::Environment::getInstance()->setVerbose(reallyEnable);
}
int getDeviceMajor(int device) {
return deviceProperties[device].major;
}
int getDeviceMinor(int device) {
return deviceProperties[device].minor;
}
const char * getDeviceName(int device) {
return deviceProperties[device].name;
}
void specialConcat(
Nd4jPointer *extraPointers,
int dimension,
int numArrays,
Nd4jPointer *data,
Nd4jPointer *inputShapeInfo,
void *dZ,
Nd4jLong *dZShapeInfo, Nd4jPointer *tadPointers, Nd4jPointer *offsetPointers) {
try {
BUILD_SINGLE_SELECTOR(ArrayOptions::dataType(dZShapeInfo), nd4j::SpecialMethods,
::concatCpuGeneric(dimension, numArrays, data, inputShapeInfo, dZ, dZShapeInfo),
LIBND4J_TYPES);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
/**
* This method saves
*/
nd4j::TadPack* tadOnlyShapeInfo(Nd4jLong *dXShapeInfo, int *dimension, int dimensionLength) {
try {
auto pack = new TadPack();
*pack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(dXShapeInfo, dimension, dimensionLength);
return pack;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jLong* getPrimaryShapeInfo(nd4j::TadPack* pack) {
return pack->primaryShapeInfo();
}
Nd4jLong* getPrimaryOffsets(nd4j::TadPack* pack) {
return pack->primaryOffsets();
}
Nd4jLong* getSpecialShapeInfo(nd4j::TadPack* pack) {
return pack->specialShapeInfo();
}
Nd4jLong* getSpecialOffsets(nd4j::TadPack* pack) {
return pack->specialOffsets();
}
Nd4jLong getNumberOfTads(nd4j::TadPack* pack) {
return pack->numberOfTads();
}
int getShapeInfoLength(nd4j::TadPack* pack) {
return pack->shapeInfoLength();
}
int memcpyConstantAsync(Nd4jLong dst, Nd4jPointer src, Nd4jLong size, int flags, Nd4jPointer reserved) {
cudaStream_t *pStream = reinterpret_cast<cudaStream_t *>(reserved);
cudaMemcpyKind kind;
DEBUG_KERNEL(pStream, -1);
switch (flags) {
case 0: {
kind = cudaMemcpyHostToHost;
}
break;
case 1: {
kind = cudaMemcpyHostToDevice;
}
break;
case 2: {
kind = cudaMemcpyDeviceToHost;
}
case 3: {
kind = cudaMemcpyDeviceToDevice;
}
break;
}
auto dZ = cudaMemcpyToSymbolAsync(deviceConstantMemory, const_cast<const void *>(src), size, dst, kind, *pStream);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaMemcpyToSymbolAsync failed");
}
return 1;
}
Nd4jPointer getConstantSpace() {
Nd4jPointer dConstAddr;
cudaError_t dZ = cudaGetSymbolAddress(reinterpret_cast<void **>(&dConstAddr), deviceConstantMemory);
if (dZ != 0) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(dZ);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("cudaGetSymbolAddress failed");
}
return dConstAddr;
}
void pullRows(Nd4jPointer *extraPointers,
OpaqueDataBuffer *dbX, Nd4jLong *xShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *zShapeInfo, Nd4jLong *dZShapeInfo,
Nd4jLong n,
Nd4jLong *indexes,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffsets,
Nd4jLong *zTadShapeInfo,
Nd4jLong *zTadOffsets) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
dim3 launchDims(64, 256, 1024);
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
BUILD_SINGLE_SELECTOR(xType, pullRowsKernelGeneric,
(launchDims, stream, dbX->special(), dbZ->special(), n, indexes, tadShapeInfo, tadOffsets, zTadShapeInfo, zTadOffsets),
LIBND4J_TYPES);
DEBUG_KERNEL(stream, -1);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void average(Nd4jPointer *extras,
Nd4jPointer *x, Nd4jLong *xShapeInfo,
Nd4jPointer *dx, Nd4jLong *dXShapeInfo,
void *z, Nd4jLong *zShapeInfo,
void *dz, Nd4jLong *dzShapeInfo,
int n,
Nd4jLong length,
bool propagate) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extras[1]);
int mode = getDeviceId(extras[3]);
auto dX = reinterpret_cast<void **>(dx);
if (nd4j::Environment::getInstance()->isDebugAndVerbose())
printf("averageFloat called\n");
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
// launching on gpu
if (mode == 0) {
dim3 launchDims(256, 256, 4096);
BUILD_SINGLE_SELECTOR(xType, averagingKernelGeneric, (launchDims, stream, dX, dz, n, length, propagate),
LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "AverageFloat(...) failed");
} else {
// launching on host memory
BUILD_SINGLE_SELECTOR(xType, nd4j::SpecialMethods, ::averageGeneric(x, z, zShapeInfo, n, length, propagate),
LIBND4J_TYPES);
}
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void accumulate(Nd4jPointer *extras,
Nd4jPointer *x, Nd4jLong *xShapeInfo,
Nd4jPointer *dx, Nd4jLong *dXShapeInfo,
void *z, Nd4jLong *zShapeInfo,
void *dz, Nd4jLong *dzShapeInfo,
int n,
Nd4jLong length) {
try {
auto stream = reinterpret_cast<cudaStream_t *>(extras[1]);
int mode = getDeviceId(extras[3]);
auto dX = reinterpret_cast<void **>(dx);
if (nd4j::Environment::getInstance()->isDebugAndVerbose())
printf("accumulateFloat called\n");
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
// launching on gpu
if (mode == 0) {
dim3 launchDims(n, 256, 16384);
BUILD_SINGLE_SELECTOR(xType, accumulateKernelGeneric, (launchDims, stream, dX, dz, n, length),
LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "AccumulateFloat(...) failed");
} else {
// launching on host memory
BUILD_SINGLE_SELECTOR(xType, nd4j::SpecialMethods, ::accumulateGeneric(x, z, zShapeInfo, n, length),
LIBND4J_TYPES);
}
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void shuffle(Nd4jPointer *extras,
Nd4jPointer *x, Nd4jPointer *xShapeInfo,
Nd4jPointer *dx, Nd4jPointer *dXShapeInfo,
Nd4jPointer *z, Nd4jPointer *zShapeInfo,
Nd4jPointer *dz, Nd4jPointer *dZShapeInfo,
int N,
int *shuffleMap,
Nd4jPointer *tadShapeInfo,
Nd4jPointer *tadOffsets) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extras[1]);
auto dX = reinterpret_cast<void **>(dx);
auto dZ = reinterpret_cast<void **>(dz);
auto xShape = reinterpret_cast<Nd4jLong **>(xShapeInfo);
auto dxShape = reinterpret_cast<Nd4jLong **>(dXShapeInfo);
auto tadOnlyShapeInfo = reinterpret_cast<Nd4jLong **>(tadShapeInfo);
auto tadOffset = reinterpret_cast<Nd4jLong **>(tadOffsets);
auto xType = nd4j::ArrayOptions::dataType(xShape[0]);
dim3 launchDims(256, 512, 8192);
BUILD_SINGLE_SELECTOR(xType, shuffleKernelGeneric,
(launchDims, stream, dX, dxShape, dZ, N, shuffleMap, tadOnlyShapeInfo, tadOffset),
LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "shuffle(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
bool isExperimentalEnabled() {
return nd4j::Environment::getInstance()->isExperimentalBuild();
}
void setOmpMinThreads(int threads) {
minThreads = nd4j::math::nd4j_max<int>(32, threads);
minThreads = nd4j::math::nd4j_min<int>(maxThreads, minThreads);
}
int getDevice() {
return nd4j::AffinityManager::currentDeviceId();
}
void setElementThreshold(int num) {
// this is no-op for CUDA
}
void setTADThreshold(int num) {
// this is no-op for CUDA
}
////////////////////////////////////////////////////////////////////////
void execSummaryStats(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
bool biasCorrected) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execSummaryStats(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
biasCorrected);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execSummaryStatsTad(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape,
bool biasCorrected,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbDimension});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execSummaryStats(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
reinterpret_cast<int *>(dbDimension->special()), dimensionLength,
tadShapeInfo, tadOffsets,
biasCorrected);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbDimension});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduce3(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduce3(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduce3Tad(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape,
Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo,
dimension,
shape::length(hDimensionShape));
auto tadLength = shape::length(tadPack.primaryShapeInfo());
auto yLength = shape::length(hYShapeInfo);
auto xLength = shape::length(hXShapeInfo);
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
if (tadLength == yLength || tadLength == xLength) {
// nd4j_printf("== way\n","");
NativeOpExecutioner::execReduce3(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadOnlyShapeInfo, tadOffsets, yTadOnlyShapeInfo, yTadOffsets);
} else
NativeOpExecutioner::execReduce3TAD(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadOnlyShapeInfo, yTadOffsets, yTadOnlyShapeInfo, yTadOffsets);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduce3Scalar(Nd4jPointer *extraPointers,int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduce3Scalar(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>());
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execScalarBool(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbScalar, Nd4jLong *hScalarShapeInfo, Nd4jLong *dScalarShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbScalar});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execScalarBool(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dbScalar->primary(), hScalarShapeInfo, dbScalar->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hScalarShapeInfo).specialAsT<Nd4jLong>(),
extraParams);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbScalar});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execScalarBoolTad(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbScalars, Nd4jLong *hScalarShapeInfo, Nd4jLong *dScalarShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbScalars});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execScalarBool(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParams,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dbScalars->primary(), hScalarShapeInfo, dbScalars->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hScalarShapeInfo).specialAsT<Nd4jLong>(),
dimension, dimensionLength,
tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbScalars});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execScalar(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbScalar, Nd4jLong *hScalarShapeInfo, Nd4jLong *dScalarShapeInfo,
void *extraParams) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbScalar});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execScalar(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
dbScalar->primary(), hScalarShapeInfo, dbScalar->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hScalarShapeInfo).specialAsT<Nd4jLong>(),
extraParams);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbScalar});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execScalarTad(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbScalars, Nd4jLong *hScalarShapeInfo, Nd4jLong *dScalarShapeInfo,
void *extraParams,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape,
Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets,
Nd4jLong *tadShapeInfoZ, Nd4jLong *tadOffsetsZ) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbScalars});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
auto yType = nd4j::ArrayOptions::dataType(hScalarShapeInfo);
auto zType = nd4j::ArrayOptions::dataType(hZShapeInfo);
if (yType != xType && yType != nd4j::DataType::BOOL && !isExperimentalEnabled())
throw nd4j::datatype_exception::build("execScalar both operands must have same data type", xType, yType);
dim3 launchDims(256, 256, 16384);
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::scalar::ScalarTransform, ::executeCudaAlongDimension(launchDims, stream, opNum, dX, dXShapeInfo, dZ, dZShapeInfo, dScalars, extraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, LIBND4J_TYPES);
#else
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::scalar::ScalarTransform, ::executeCudaAlongDimension(launchDims, stream, opNum, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(), dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(), dbScalars->special(), extraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES);
#endif
DEBUG_KERNEL(stream, opNum);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbScalars});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void execAggregate(Nd4jPointer *extraPointers,
int opNum,
void **arguments,
int numArguments,
Nd4jLong **shapes,
int numShapes,
int *indexArguments,
int numIndexArguments,
int **intArrays,
int numIntArrays,
void *realArguments,
int numRealArguments,
nd4j::DataType dtype) {
}
void batchExecutor(Nd4jPointer *extraPointers,
int numAggregates,
int opNum,
int maxArgs,
int maxShapes,
int maxIntArrays,
int maxIntArraySize,
int maxIdx,
int maxReals,
void *ptrToArguments,
nd4j::DataType dtype) {
}
void execAggregateBatch(Nd4jPointer *extraPointers,
int numAggregates, int opNum,
int maxArgs, int maxShapes,
int maxIntArrays, int maxIntArraySize,
int maxIdx, int maxReals,
void *ptrToArguments, nd4j::DataType dtype) {
}
////////////////////////////////////////////////////////////////////////
void execRandom(Nd4jPointer *extraPointers,
int opNum,
Nd4jPointer stateHost,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraArguments) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execRandom(&lc, opNum, stateHost,
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraArguments);
InteropDataBuffer::registerSpecialUse({dbZ}, {});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execRandom2(Nd4jPointer *extraPointers, int opNum, Nd4jPointer stateHost,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraArguments) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execRandom(&lc, opNum, stateHost,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraArguments);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execRandom3(Nd4jPointer *extraPointers, int opNum, Nd4jPointer stateHost,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
void *extraArguments) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY});
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execRandom(&lc, opNum, stateHost,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
extraArguments);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
Nd4jPointer initRandom(Nd4jPointer *extraPointers, long seed, long bufferSize, Nd4jPointer ptrToBuffer) {
unsigned long long *ptrHost = reinterpret_cast<unsigned long long *>(extraPointers[0]);
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
// we don't synchronize at random initialization, it's safe to go unsync here
// cudaStreamSynchronize(*stream);
auto ptrDev = reinterpret_cast<unsigned long long *>(ptrToBuffer);
auto buffer = new nd4j::random::RandomBuffer(seed, bufferSize, reinterpret_cast<uint64_t *>(ptrHost), reinterpret_cast<uint64_t *>(ptrDev));
buffer->propagateToDevice(buffer, *stream);
nd4j::DebugHelper::checkErrorCode(stream, "initRandom(...) failed A");
// we generate sequence in the host memory
nd4j::random::Xoroshiro128 generator(buffer);
generator.refreshBuffer();
// and copy it to gpu
cudaMemcpyAsync(ptrDev, ptrHost, bufferSize * 8, cudaMemcpyHostToDevice, *stream);
nd4j::DebugHelper::checkErrorCode(stream, "initRandom(...) failed B");
return buffer;
}
void destroyRandom(Nd4jPointer ptrBuffer) {
nd4j::random::RandomBuffer *buffer = reinterpret_cast<nd4j::random::RandomBuffer *> (ptrBuffer);
// FIXME: it's bad thing, but we can't know in advance, which stream(s) where using this generator in practice
cudaDeviceSynchronize();
delete buffer;
}
void refreshBuffer(Nd4jPointer *extraPointers, long seed, Nd4jPointer ptrRandom) {
nd4j::random::RandomBuffer *buffer = reinterpret_cast<nd4j::random::RandomBuffer *> (ptrRandom);
unsigned long long *ptrHost = reinterpret_cast<unsigned long long *>(extraPointers[0]);
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
cudaStreamSynchronize(*stream);
uint64_t *ptrDev = buffer->getDeviceBuffer();
// update rng state
buffer->setSeed(seed);
buffer->setOffset(0);
buffer->propagateToDevice(buffer, *stream);
// refresh buffer on host size
nd4j::random::Xoroshiro128 generator(buffer);
generator.refreshBuffer();
// copy back to gpu
cudaMemcpyAsync(ptrDev, ptrHost, buffer->getSize() * 8, cudaMemcpyHostToDevice, *stream);
}
void reSeedBuffer(Nd4jPointer *extraPointers, long seed, Nd4jPointer ptrRandom) {
nd4j::random::RandomBuffer *buffer = reinterpret_cast<nd4j::random::RandomBuffer *> (ptrRandom);
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
cudaStreamSynchronize(*stream);
// update rng state
buffer->reSeed(seed);
buffer->setOffset(0);
buffer->propagateToDevice(buffer, *stream);
}
/**
* Return the length of a shape buffer
* based on the pointer
* @param buffer the buffer pointer to check
* @return
*/
int lengthForShapeBufferPointer(Nd4jPointer buffer) {
auto shapeBuffer = reinterpret_cast<Nd4jLong *>(buffer);
return shape::shapeInfoLength(shape::rank(shapeBuffer));
}
/**
* The pointer to get the address for
*
* @param address the address to get the pointer
* @return the pointer for the given address
*/
Nd4jPointer pointerForAddress(Nd4jLong address) {
return reinterpret_cast<Nd4jPointer >(address);
}
void tear(Nd4jPointer *extras,
OpaqueDataBuffer *dbX, Nd4jLong *xShapeInfo, Nd4jLong *dXShapeInfo,
Nd4jPointer *targets,
Nd4jLong *zShapeInfo,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffsets) {
try {
InteropDataBuffer::prepareSpecialUse({}, {dbX});
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extras[1]);
dim3 launchDims(512, 512, 512);
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
BUILD_SINGLE_SELECTOR(xType, tearKernelGeneric,
(launchDims, stream, dbX->special(), dXShapeInfo, targets, zShapeInfo, tadShapeInfo, tadOffsets),
LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "tearFloat(...) failed");
InteropDataBuffer::registerSpecialUse({}, {dbX});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void prescanArrayRecursive(Nd4jPointer *extras, int *dZ, int *dX, int numElements, int level) {
auto stream = reinterpret_cast<cudaStream_t *>(extras[1]);
auto g_scanBlockSums = reinterpret_cast<int **>(extras[2]);
int blockSize = 512; // max size of the thread blocks
int numBlocks = nd4j::math::nd4j_max<int>(1, static_cast<int>(ceil(static_cast<float>(numElements) / (2.f * blockSize))));
int numThreads;
if (numBlocks > 1)
numThreads = blockSize;
else if (nd4j::isPowerOfTwo(numElements))
numThreads = numElements / 2;
else
numThreads = nd4j::floorPow2(numElements);
int numEltsPerBlock = numThreads * 2;
// if this is a non-power-of-2 array, the last block will be non-full
// compute the smallest power of 2 able to compute its scan.
int numEltsLastBlock =
numElements - (numBlocks-1) * numEltsPerBlock;
int numThreadsLastBlock = nd4j::math::nd4j_max<int>(1, numEltsLastBlock / 2);
int np2LastBlock = 0;
int sharedMemLastBlock = 0;
if (numEltsLastBlock != numEltsPerBlock) {
np2LastBlock = 1;
if(!isPowerOfTwo(numEltsLastBlock))
numThreadsLastBlock = floorPow2(numEltsLastBlock);
unsigned int extraSpace = (2 * numThreadsLastBlock) / NUM_BANKS;
sharedMemLastBlock = sizeof(int) * (2 * numThreadsLastBlock + extraSpace);
}
// padding space is used to avoid shared memory bank conflicts
int extraSpace = numEltsPerBlock / NUM_BANKS;
int sharedMemSize = sizeof(int) * (numEltsPerBlock + extraSpace);
// setup execution parameters
// if NP2, we process the last block separately
dim3 grid(max(1, numBlocks - np2LastBlock), 1, 1);
dim3 threads(numThreads, 1, 1);
dim3 gridOnes(1, 1, 1);
dim3 threadsOnes(numThreadsLastBlock, 1, 1);
if (sharedMemSize < 2048)
sharedMemSize = 2048;
if (sharedMemLastBlock < 2048)
sharedMemLastBlock = 2048;
// execute the scan
if (numBlocks > 1) {
nd4j::prescanLauncher<true, false>(grid, threads, sharedMemSize, stream, dZ, dX, g_scanBlockSums[level], numThreads * 2, 0, 0);
if (np2LastBlock) {
nd4j::prescanLauncher<true, true>(gridOnes, threadsOnes, sharedMemLastBlock, stream, dZ, dX, g_scanBlockSums[level], numEltsLastBlock, numBlocks - 1, numElements - numEltsLastBlock);
}
// After scanning all the sub-blocks, we are mostly done. But now we
// need to take all of the last values of the sub-blocks and scan those.
// This will give us a new value that must be sdded to each block to
// get the final results.
// recursive (CPU) call
prescanArrayRecursive(extras, g_scanBlockSums[level], g_scanBlockSums[level], numBlocks, level+1);
nd4j::uniformAdd<<<grid, threads, 1024, *stream>>>(dZ, g_scanBlockSums[level], numElements - numEltsLastBlock, 0, 0);
if (np2LastBlock) {
nd4j::uniformAdd<<<1, numThreadsLastBlock, 1024, *stream>>>(dZ, g_scanBlockSums[level], numEltsLastBlock, numBlocks - 1, numElements - numEltsLastBlock);
}
} else if (isPowerOfTwo(numElements)) {
nd4j::prescanLauncher<false, false>(grid, threads, sharedMemSize, stream, dZ, dX, 0, numThreads * 2, 0, 0);
} else {
nd4j::prescanLauncher<false, true>(grid, threads, sharedMemSize, stream, dZ, dX, 0, numElements, 0, 0);
}
nd4j::DebugHelper::checkErrorCode(stream, "prescanArray(...) failed");
}
void encodeThresholdP1(Nd4jPointer *extras, void *dx, Nd4jLong *hXShapeInfo, Nd4jLong N, int *dz, float threshold) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extras[1]);
int blockSize = 1024;
int numBlocks = N / blockSize + (N % blockSize ? 1 : 0);
dim3 launchDims(numBlocks, blockSize, 1024);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
BUILD_SINGLE_SELECTOR(xType, encoderKernelP1Generic, (launchDims, stream, dx, N, dz, threshold), LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "encodeThresholdP1Float(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void encodeThresholdP2Int(Nd4jPointer *extraPointers, int *dx, Nd4jLong N, int *dz) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
//encoderKernelP2Float<<<numBlocks, blockSize , 1024 * sizeof(float), *stream>>>(dx, N, dz);
prescanArrayRecursive(extraPointers, dz, dx + 1, (int) N, 0);
nd4j::DebugHelper::checkErrorCode(stream, "encodeThresholdP2Int(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void encodeThresholdP3(Nd4jPointer *extraPointers, void *dx, Nd4jLong *hXShapeInfo, int *offsets, Nd4jLong N, int *dz){
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
int blockSize = 1024;
int numBlocks = N / blockSize + (N % blockSize ? 1 : 0);
dim3 launchDims(numBlocks, blockSize, 4096);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
BUILD_SINGLE_SELECTOR(xType, encoderKernelP3Generic, (launchDims, stream, dx, offsets, N, dz), LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "encodeThresholdP3Float(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void decodeThreshold(Nd4jPointer *extraPointers, void *dx, Nd4jLong N, void *dz, Nd4jLong *zShapeInfo){
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
// we probably want to have smaller blocks here, memory writes are misaligned anyway
int blockSize = 128;
int numBlocks = N / blockSize + (N % blockSize ? 1 : 0);
dim3 launchDims(numBlocks, blockSize, 1024);
auto zType = nd4j::ArrayOptions::dataType(zShapeInfo);
BUILD_SINGLE_SELECTOR(zType, decoderKernelGeneric, (launchDims, stream, dx, N, dz), LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "decodeThresholdFloat(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
////////////////////////////////////////////////////////////////////////
void execReduce3All(Nd4jPointer *extraPointers,
int opNum,
OpaqueDataBuffer *dbX, Nd4jLong *hXShapeInfo, Nd4jLong *dXShapeInfo,
void *extraParamsVals,
OpaqueDataBuffer *dbY, Nd4jLong *hYShapeInfo, Nd4jLong *dYShapeInfo,
OpaqueDataBuffer *dbZ, Nd4jLong *hZShapeInfo, Nd4jLong *dZShapeInfo,
OpaqueDataBuffer *dbDimension, Nd4jLong *hDimensionShape, Nd4jLong *dDimensionShape,
Nd4jLong *xTadShapeInfo, Nd4jLong *xOffsets,
Nd4jLong *yTadShapeInfo, Nd4jLong *yOffsets) {
try {
InteropDataBuffer::prepareSpecialUse({dbZ}, {dbX, dbY, dbDimension});
InteropDataBuffer::preparePrimaryUse({}, {dbDimension});
auto dimension = reinterpret_cast<int *>(dbDimension->primary());
int dimensionLength = static_cast<int>(shape::length(hDimensionShape));
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
NativeOpExecutioner::execReduce3All(&lc, opNum,
dbX->primary(), hXShapeInfo, dbX->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hXShapeInfo).specialAsT<Nd4jLong>(),
extraParamsVals,
dbY->primary(), hYShapeInfo, dbY->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hYShapeInfo).specialAsT<Nd4jLong>(),
dbZ->primary(), hZShapeInfo, dbZ->special(), ConstantShapeHelper::getInstance()->bufferForShapeInfo(hZShapeInfo).specialAsT<Nd4jLong>(),
reinterpret_cast<int *>(dbDimension->special()), dimensionLength,
xTadShapeInfo, xOffsets, yTadShapeInfo, yOffsets);
InteropDataBuffer::registerSpecialUse({dbZ}, {dbX, dbY});
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sort(Nd4jPointer *extraPointers,
void *x, Nd4jLong *xShapeInfo,
void *dX, Nd4jLong *dXShapeInfo,
bool descending) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto xLength = shape::length(xShapeInfo);
auto xEWS = shape::elementWiseStride(xShapeInfo);
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
// check if xLength is a power of 2, and use bitonic sort, if that's the case
if ((xLength != 0) && ((xLength & (xLength - 1)) == 0) && (xLength <= 1024 * 1024 * 10)) {
int numThreads = nd4j::math::nd4j_min<int>(512, xLength);
int numBlocks = xLength / numThreads;
if (xLength % numThreads > 0 || numBlocks == 0)
numBlocks++;
dim3 launchDims(numBlocks, numThreads, 32768);
for (int k = 2; k <= xLength; k = 2 * k) {
for (int j = k >> 1; j > 0; j = j >> 1) {
BUILD_SINGLE_SELECTOR(xType, bitonicSortStepGeneric,
(launchDims, stream, dX, dXShapeInfo, j, k, xLength, descending),
LIBND4J_TYPES);
}
}
} else {
int numThreads = nd4j::math::nd4j_min<int>(512, xLength);
int numBlocks = xLength / numThreads;
if (xLength % numThreads > 0 || numBlocks == 0)
numBlocks++;
numBlocks = nd4j::math::nd4j_min<int>(512, numBlocks);
dim3 launchDims(numBlocks, numThreads, 32768);
int max = 2, dg = 0;
while (max < xLength) {
max <<= 1;
dg++;
}
max <<= 1;
for (int window = 2; window < max; window <<= 1) {
int n = window;
int rev = 0;
do {
int half = n >> 1;
BUILD_SINGLE_SELECTOR(xType, bitonicArbitraryStepGeneric,
(launchDims, stream, dX, dXShapeInfo, n, xLength, rev, descending),
LIBND4J_TYPES);
n >>= 1;
rev = 1;
} while (n > 1);
}
}
nd4j::DebugHelper::checkErrorCode(stream, "sort(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sortByKey(Nd4jPointer *extraPointers,
void *x, Nd4jLong *xShapeInfo,
void *dX, Nd4jLong *dXShapeInfo,
void *y, Nd4jLong *yShapeInfo,
void *dy, Nd4jLong *dyShapeInfo,
bool descending) {
try {
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto xLength = shape::length(xShapeInfo);
auto yLength = shape::length(yShapeInfo);
auto xEWS = shape::elementWiseStride(xShapeInfo);
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
auto yType = nd4j::ArrayOptions::dataType(yShapeInfo);
if (shape::isEmpty(xShapeInfo) || shape::isEmpty(yShapeInfo))
return;
if (xLength != yLength)
throw std::runtime_error("sortByKey: keys and values must have the same size");
// check if xLength is a power of 2, and use bitonic sort, if that's the case
if ((xLength != 0) && ((xLength & (xLength - 1)) == 0) && (xLength <= 1024 * 1024 * 10)) {
int numThreads = nd4j::math::nd4j_min<int>(512, xLength);
int numBlocks = xLength / numThreads;
if (xLength % numThreads > 0 || numBlocks == 0)
numBlocks++;
dim3 launchDims(numBlocks, numThreads, 32768);
for (int k = 2; k <= xLength; k = 2 * k) {
for (int j = k >> 1; j > 0; j = j >> 1) {
BUILD_DOUBLE_SELECTOR(xType, yType, bitonicSortStepGenericKey,
(launchDims, stream, dX, dXShapeInfo, dy, dyShapeInfo, j, k, xLength, descending),
LIBND4J_TYPES, LIBND4J_TYPES);
}
}
} else {
int numThreads = nd4j::math::nd4j_min<int>(512, xLength);
int numBlocks = xLength / numThreads;
if (xLength % numThreads > 0 || numBlocks == 0)
numBlocks++;
numBlocks = nd4j::math::nd4j_min<int>(512, numBlocks);
dim3 launchDims(numBlocks, numThreads, 32768);
int max = 2, dg = 0;
while (max < xLength) {
max <<= 1;
dg++;
}
max <<= 1;
for (int window = 2; window < max; window <<= 1) {
int n = window;
int rev = 0;
do {
int half = n >> 1;
BUILD_DOUBLE_SELECTOR(xType, yType, bitonicArbitraryStepGenericKey,
(launchDims, stream, dX, dXShapeInfo, dy, dyShapeInfo, n, xLength, rev, descending),
LIBND4J_TYPES, LIBND4J_TYPES);
n >>= 1;
rev = 1;
} while (n > 1);
}
}
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sortByValue(Nd4jPointer *extraPointers,
void *x, Nd4jLong *xShapeInfo,
void *dX, Nd4jLong *dXShapeInfo,
void *y, Nd4jLong *yShapeInfo,
void *dy, Nd4jLong *dyShapeInfo,
bool descending) {
try {
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto xLength = shape::length(xShapeInfo);
auto yLength = shape::length(yShapeInfo);
auto xEWS = shape::elementWiseStride(xShapeInfo);
auto xType = nd4j::ArrayOptions::dataType(yShapeInfo);
auto yType = nd4j::ArrayOptions::dataType(xShapeInfo);
if (shape::isEmpty(xShapeInfo) || shape::isEmpty(yShapeInfo))
return;
if (xLength != yLength)
throw std::runtime_error("sortByValue: keys and values must have the same size");
// check if xLength is a power of 2, and use bitonic sort, if that's the case
if ((xLength != 0) && ((xLength & (xLength - 1)) == 0) && (xLength <= 1024 * 1024 * 10)) {
int numThreads = nd4j::math::nd4j_min<int>(512, xLength);
int numBlocks = xLength / numThreads;
if (xLength % numThreads > 0 || numBlocks == 0)
numBlocks++;
dim3 launchDims(numBlocks, numThreads, 32768);
for (int k = 2; k <= xLength; k = 2 * k) {
for (int j = k >> 1; j > 0; j = j >> 1) {
BUILD_DOUBLE_SELECTOR(xType, yType, bitonicSortStepGenericKey,
(launchDims, stream, dy, dyShapeInfo, dX, dXShapeInfo, j, k, xLength, descending),
LIBND4J_TYPES, LIBND4J_TYPES);
}
}
} else {
int numThreads = nd4j::math::nd4j_min<int>(512, xLength);
int numBlocks = xLength / numThreads;
if (xLength % numThreads > 0 || numBlocks == 0)
numBlocks++;
numBlocks = nd4j::math::nd4j_min<int>(512, numBlocks);
dim3 launchDims(numBlocks, numThreads, 32768);
int max = 2, dg = 0;
while (max < xLength) {
max <<= 1;
dg++;
}
max <<= 1;
for (int window = 2; window < max; window <<= 1) {
int n = window;
int rev = 0;
do {
int half = n >> 1;
BUILD_DOUBLE_SELECTOR(xType, yType, bitonicArbitraryStepGenericKey,
(launchDims, stream, dy, dyShapeInfo, dX, dXShapeInfo, n, xLength, rev, descending),
LIBND4J_TYPES, LIBND4J_TYPES);
n >>= 1;
rev = 1;
} while (n > 1);
}
}
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sortTadByKey(Nd4jPointer *extraPointers,
void *x, Nd4jLong *xShapeInfo,
void *dX, Nd4jLong *dXShapeInfo,
void *y, Nd4jLong *yShapeInfo,
void *dy, Nd4jLong *dyShapeInfo,
int *dimension,
int dimensionLength,
bool descending) {
try {
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto context = extraPointers[0] == 0 ? LaunchContext::defaultContext()
: reinterpret_cast<LaunchContext *>(extraPointers[0]);
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dimension, dimensionLength);
dim3 launchDims((int) tadPack.numberOfTads(), 256, 2048);
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
auto yType = nd4j::ArrayOptions::dataType(yShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, yType, oesTadGenericKey,
(launchDims, stream, dX, dXShapeInfo, dy, dyShapeInfo, nullptr, dimensionLength, tadPack.platformShapeInfo(), tadPack.platformOffsets(), descending),
LIBND4J_TYPES, LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "sortTadKey(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sortTadByValue(Nd4jPointer *extraPointers,
void *x, Nd4jLong *xShapeInfo,
void *dX, Nd4jLong *dXShapeInfo,
void *y, Nd4jLong *yShapeInfo,
void *dy, Nd4jLong *dyShapeInfo,
int *dimension,
int dimensionLength,
bool descending) {
try {
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto context = extraPointers[0] == 0 ? LaunchContext::defaultContext()
: reinterpret_cast<LaunchContext *>(extraPointers[0]);
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dimension, dimensionLength);
dim3 launchDims((int) tadPack.numberOfTads(), 256, 2048);
auto xType = nd4j::ArrayOptions::dataType(yShapeInfo);
auto yType = nd4j::ArrayOptions::dataType(xShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, yType, oesTadGenericKey,
(launchDims, stream, dy, dyShapeInfo, dX, dXShapeInfo, nullptr, dimensionLength, tadPack.platformShapeInfo(), tadPack.platformOffsets(), descending),
LIBND4J_TYPES, LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "sortTadValue(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sortTad(Nd4jPointer *extraPointers,
void *x, Nd4jLong *xShapeInfo,
void *dX, Nd4jLong *dXShapeInfo,
int *dimension,
int dimensionLength,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffsets,
bool descending) {
try {
// to be implemented
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto context = extraPointers[0] == 0 ? LaunchContext::defaultContext()
: reinterpret_cast<LaunchContext *>(extraPointers[0]);
auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dimension, dimensionLength);
dim3 launchDims((int) tadPack.numberOfTads(), 512, 33768);
auto xType = nd4j::ArrayOptions::dataType(xShapeInfo);
BUILD_SINGLE_SELECTOR(xType, oesTadGeneric,
(launchDims, stream, dX, dXShapeInfo, nullptr, dimensionLength, tadShapeInfo, tadOffsets, descending),
LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "sortTad(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void sortCooIndices(Nd4jPointer *extraPointers, Nd4jLong *indices, void *values, Nd4jLong length, int rank) {
throw std::runtime_error("sortCooIndices:: Not implemented yet");
}
Nd4jLong encodeBitmap(Nd4jPointer *extraPointers,
void *dx, Nd4jLong *hXShapeInfo,
Nd4jLong N,
int *dz,
float threshold) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
int *resultPointer = reinterpret_cast<int *>(extraPointers[2]);
int *reductionPointer = reinterpret_cast<int *>(extraPointers[3]);
dim3 launchDims(512, 512, 32768);
auto xType = nd4j::ArrayOptions::dataType(hXShapeInfo);
BUILD_SINGLE_SELECTOR(xType, cudaEncodeBitmapGeneric,
(launchDims, stream, dx, N, dz, resultPointer, reductionPointer, threshold),
LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "encodeBitmapFloat(...) failed");
Nd4jLong dZ = (Nd4jLong) resultPointer[0];
resultPointer[0] = 0;
return dZ;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return 0;
}
}
void decodeBitmap(Nd4jPointer *extraPointers,
void *dx,
Nd4jLong N,
void *dz, Nd4jLong *zShapeInfo) {
try {
cudaStream_t *stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
dim3 launchDims(512, 512, 16384);
auto xType = nd4j::ArrayOptions::dataType(zShapeInfo);
BUILD_SINGLE_SELECTOR(xType, cudaDecodeBitmapGeneric, (launchDims, stream, dx, N, dz), LIBND4J_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "decodeBitmapFloat(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
Nd4jLong* mmapFile(Nd4jPointer *extraPointers, const char *fileName, Nd4jLong length) {
return nullptr;
}
void munmapFile(Nd4jPointer *extraPointers, Nd4jLong* ptrMap, Nd4jLong length) {
}
nd4j::graph::ResultWrapper* executeFlatGraph(Nd4jPointer *extraPointers, Nd4jPointer flatBufferPointer) {
try {
return nd4j::graph::GraphExecutioner::executeFlatBuffer(flatBufferPointer);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jLong getResultWrapperSize(nd4j::graph::ResultWrapper* ptr) {
return ptr->size();
}
Nd4jPointer getResultWrapperPointer(nd4j::graph::ResultWrapper* ptr) {
return ptr->pointer();
}
const char* getAllCustomOps() {
return nd4j::ops::OpRegistrator::getInstance()->getAllCustomOperations();
}
nd4j::ShapeList* _calculateOutputShapes(Nd4jPointer* extraPointers, nd4j::ops::DeclarableOp* op, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool *bArgs, int numBArgs) {
nd4j::graph::VariableSpace varSpace;
Context block(2, &varSpace);
nd4j::ShapeList inShapes;
for (int e = 0; e < numIArgs; e++)
block.getIArguments()->push_back(iArgs[e]);
for (int e = 0; e < numTArgs; e++)
block.getTArguments()->push_back(tArgs[e]);
for (int e = 0; e < numBArgs; e++)
block.getBArguments()->push_back(bArgs[e]);
for (int e = 0; e < numInputShapes; e++) {
auto shape_ = reinterpret_cast<Nd4jLong *>(inputShapes[e]);
// we shouldn't copy buffer if that's empty array
void *buffer_ = nd4j::ArrayOptions::arrayType(shape_) == ArrayType::EMPTY ? nullptr : inputBuffers[e];
void *bufferD_ = nd4j::ArrayOptions::arrayType(shape_) == ArrayType::EMPTY ? nullptr : inputBuffers[e + numInputShapes];
auto array = new nd4j::NDArray(buffer_, bufferD_, shape_);
// block should contain references to proper variable
varSpace.putVariable(1, e, array);
block.pickInput(1, e);
inShapes.push_back(shape_);
}
auto shapeList = op->calculateOutputShape(&inShapes, block);
if (varSpace.launchContext()->getWorkspace() != nullptr)
shapeList->detach();
return shapeList;
}
nd4j::ShapeList* calculateOutputShapes2(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool *bArgs, int numBArgs) {
try {
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
return _calculateOutputShapes(extraPointers, op, inputBuffers, inputShapes, numInputShapes, tArgs, numTArgs,
iArgs, numIArgs, bArgs, numBArgs);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
nd4j::ShapeList* _calculateOutputShapes(Nd4jPointer* extraPointers, nd4j::ops::DeclarableOp* op, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs) {
Context block(1);
nd4j::ShapeList inShapes;
for (int e = 0; e < numIArgs; e++)
block.getIArguments()->push_back(iArgs[e]);
for (int e = 0; e < numTArgs; e++)
block.getTArguments()->push_back(tArgs[e]);
for (int e = 0; e < numInputShapes; e++)
inShapes.push_back(reinterpret_cast<Nd4jLong *>(inputShapes[e]));
auto shapeList = op->calculateOutputShape(&inShapes, block);
return shapeList;
}
nd4j::ShapeList* calculateOutputShapes(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputShapes, int numInputShapes, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs) {
try {
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
return _calculateOutputShapes(extraPointers, op, inputShapes, numInputShapes, tArgs, numTArgs, iArgs, numIArgs);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jLong getShapeListSize(nd4j::ShapeList* list) {
return list->size();
}
Nd4jLong* getShape(nd4j::ShapeList* list, Nd4jLong i) {
return list->at(i);
}
static FORCEINLINE Nd4jStatus realExec(nd4j::ops::DeclarableOp* op, Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputs, Nd4jPointer* outputBuffers, Nd4jPointer* outputShapes, int numOutputs, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool* bArgs, int numBArgs, bool isInplace) {
if (op == nullptr)
nd4j_printf("Can't find requested operation: [%lld]\n", hash);
// we're using the same fake nodeId everywhere here
std::vector<nd4j::NDArray*> inputs(numInputs);
std::vector<nd4j::NDArray*> outputs(numOutputs);
std::vector<double> ttArgs(numTArgs);
std::vector<bool> bbArgs(numBArgs);
std::vector<Nd4jLong> iiArgs(numIArgs);
// filling block now with inputs
for (int e = 0; e < numInputs; e++) {
auto shape = reinterpret_cast<Nd4jLong *>(inputShapes[e]);
void *buffer = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : inputBuffers[e];
void *bufferD = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : inputBuffers[e + numInputs];
inputs[e] = new nd4j::NDArray(buffer, bufferD, shape);
}
// if not inplace - transferring output arrays
if (!isInplace)
for (int e = 0; e < numOutputs; e++) {
// we want to keep original output shape intact
auto shape = shape::copyShape(reinterpret_cast<Nd4jLong *>(outputShapes[e]));
void *buffer = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : outputBuffers[e];
void *bufferD = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : outputBuffers[e + numOutputs];
// FIXME: revisit this.
bool canNullify = true;
for (int i = 0; i < numInputs; i++) {
void *ibuffer = nd4j::ArrayOptions::arrayType(shape) == ArrayType::EMPTY ? nullptr : inputBuffers[i];
if (ibuffer == buffer) {
canNullify = false;
break;
}
}
if (canNullify && buffer != nullptr)
memset((uint8_t *) buffer, '\0', shape::length(shape) * DataTypeUtils::sizeOfElement(ArrayOptions::dataType(shape)));
auto array = new nd4j::NDArray(buffer, bufferD, shape);
outputs[e] = array;
}
for (int e = 0; e < numIArgs; e++)
iiArgs[e] = iArgs[e];
for (int e = 0; e < numTArgs; e++)
ttArgs[e] = tArgs[e];
for (int e = 0; e < numBArgs; e++)
bbArgs[e] = bArgs[e];
// hypothetically at this point we have everything filled
auto dZ = op->execute(inputs, outputs, ttArgs, iiArgs, bbArgs, isInplace);
//auto dZ = op->execute(inputs, ttArgs, iiArgs, isInplace);
if (!isInplace)
for (int e = 0; e < numOutputs; e++) {
//shape::printShapeInfoLinear("JVM output shape", (int *) outputShapes[e]);
//shape::printShapeInfoLinear("C++ output shape", (int *) outputs[e]->shapeInfo());
//outputs[e]->printIndexedBuffer("C++ raw output");
//outputs[e]->printBuffer("C++ indexed output");
if (outputs[e]->ordering() != shape::order(reinterpret_cast<Nd4jLong *>(outputShapes[e])))
outputs[e]->streamline(shape::order(reinterpret_cast<Nd4jLong *>(outputShapes[e])));
}
for (auto v: inputs)
delete v;
for (auto v: outputs)
delete v;
return Status::OK();
}
int execCustomOp(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer* inputBuffers, Nd4jPointer* inputShapes, int numInputs, Nd4jPointer* outputBuffers, Nd4jPointer* outputShapes, int numOutputs, double* tArgs, int numTArgs, Nd4jLong *iArgs, int numIArgs, bool* bArgs, int numBArgs, bool isInplace) {
try {
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
return realExec(op, extraPointers, hash, inputBuffers, inputShapes, numInputs, outputBuffers, outputShapes,
numOutputs, tArgs, numTArgs, iArgs, numIArgs, bArgs, numBArgs, isInplace);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return 1;
}
}
int execCustomOp2(Nd4jPointer* extraPointers, Nd4jLong hash, Nd4jPointer opContext) {
try {
auto op = nd4j::ops::OpRegistrator::getInstance()->getOperation(hash);
auto context = reinterpret_cast<Context *>(opContext);
auto result = op->execute(context);
auto res = cudaStreamSynchronize(*context->launchContext()->getCudaStream());
if (res != 0)
throw nd4j::cuda_exception::build("customOp execution failed", res);
for (auto v:context->fastpath_in()) {
if (!v->isEmpty())
v->syncToDevice();
}
for (auto v:context->fastpath_out()) {
if (!v->isEmpty())
v->syncToDevice();
}
return result;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return 1;
}
}
int registerGraph(Nd4jPointer *extraPointers, Nd4jLong graphId, Nd4jPointer flatBufferPointer) {
try {
auto graph = nd4j::graph::GraphExecutioner::importFromFlatPointer(flatBufferPointer);
nd4j::graph::GraphHolder::getInstance()->registerGraph(graphId, graph);
return ND4J_STATUS_OK;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return 1;
}
}
static VariablesSet* executeStoredGraphT(Nd4jPointer *extraPointers, Nd4jLong graphId, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int* inputIndices, int numInputs) {
auto graph = nd4j::graph::GraphHolder::getInstance()->pullGraph(graphId);
auto varSpace = graph->getVariableSpace()->clone();
std::vector<nd4j::NDArray*> handles;
for (int e = 0; e < numInputs; e++) {
auto idx = inputIndices[e];
// we'll delete this array later, together with cloned VariableSpace
auto array = new nd4j::NDArray(inputBuffers[e], reinterpret_cast<Nd4jLong *>(inputShapes[e]));
handles.emplace_back(array);
if (varSpace->hasVariable(idx)) {
auto var = varSpace->getVariable(idx);
if (var->hasNDArray())
delete var->getNDArray();
var->setNDArray(array);
} else
varSpace->putVariable(idx, array);
}
auto dZ = nd4j::graph::GraphExecutioner::execute(graph, varSpace);
auto varSet = new nd4j::graph::VariablesSet(dZ);
if (dZ == ND4J_STATUS_OK) {
// pull back results, and provide them
auto outputs = graph->fetchOutputs();
for (int e = 0; e < outputs->size(); e++) {
// we're only getting variable ID/Index from original grap. values will be taken from cloned workspace
std::pair<int, int> varId(outputs->at(e)->id(), outputs->at(e)->index());
auto var = varSpace->getVariable(varId);
varSet->push_back(var->clone());
}
delete outputs;
}
delete varSpace;
return varSet;
}
VariablesSet* executeStoredGraph(Nd4jPointer *extraPointers, Nd4jLong graphId, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int* inputIndices, int numInputs) {
try {
return executeStoredGraphT(extraPointers, graphId, inputBuffers, inputShapes, inputIndices, numInputs);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jLong getVariablesSetSize(nd4j::graph::VariablesSet* set) {
return set->size();
}
Nd4jStatus getVariablesSetStatus(nd4j::graph::VariablesSet* set) {
return set->status();
}
nd4j::graph::Variable* getVariable(nd4j::graph::VariablesSet* set, Nd4jLong i) {
return set->at(i);
}
int getVariableId(nd4j::graph::Variable* variable) {
return variable->id();
}
int getVariableIndex(nd4j::graph::Variable* variable) {
return variable->index();
}
const char* getVariableName(nd4j::graph::Variable* variable) {
return variable->getName()->c_str();
}
Nd4jLong* getVariableShape(nd4j::graph::Variable* variable) {
return variable->getNDArray()->shapeInfo();
}
void* getVariableBuffer(nd4j::graph::Variable* variable) {
return variable->getNDArray()->buffer();
}
int unregisterGraph(Nd4jPointer *extraPointers, Nd4jLong graphId) {
try {
nd4j::graph::GraphHolder::getInstance()->dropGraphAny(graphId);
return ND4J_STATUS_OK;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return 1;
}
}
void deletePointerArray(Nd4jPointer pointer) {
Nd4jPointer *ptr = reinterpret_cast<Nd4jPointer *>(pointer);
delete[] ptr;
}
void deleteCharArray(Nd4jPointer pointer) {
auto ptr = reinterpret_cast<char *>(pointer);
delete[] ptr;
}
void deleteIntArray(Nd4jPointer pointer) {
auto ptr = reinterpret_cast<int *>(pointer);
delete[] ptr;
}
void deleteLongArray(Nd4jPointer pointer) {
auto ptr = reinterpret_cast<Nd4jLong *>(pointer);
delete[] ptr;
}
void deleteVariablesSet(nd4j::graph::VariablesSet* pointer) {
delete pointer;
}
void deleteShapeList(Nd4jPointer shapeList) {
nd4j::ShapeList* list = reinterpret_cast<nd4j::ShapeList*>(shapeList);
//list->destroy();
delete list;
}
const char* getAllOperations() {
return nd4j::OpTracker::getInstance()->exportOperations();
}
Nd4jPointer getGraphState(Nd4jLong id) {
return (Nd4jPointer) new nd4j::graph::GraphState(id);
}
void deleteGraphState(Nd4jPointer state) {
auto stateP = reinterpret_cast<nd4j::graph::GraphState*>(state);
delete stateP;
}
Nd4jStatus execCustomOpWithScope(Nd4jPointer *extraPointers, nd4j::graph::GraphState *state, Nd4jLong opHash, Nd4jLong *scopes, int numScopes, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int numInputs, Nd4jPointer *outputBuffers, Nd4jPointer *outputShapes, int numOutputs) {
/**
* That's basically exec, with VariableSpace provided in GraphState:
* depending on operation (i.e. while of if), different logic executors could be used
*/
auto graph = state->graph();
auto varSpace = state->variableSpace();
// Node is dynamically created, and has nothing beyond it: only inputs and outputs
// this node has id of 0, and inputs are
Node node(OpType_LOGIC, opHash, 0);
// mapping inputs
for (int e = 0; e < numInputs; e++) {
auto buffer = inputBuffers[e];
auto shapeInfo = reinterpret_cast<Nd4jLong *>(inputShapes[e]);
auto array = new nd4j::NDArray(buffer, shapeInfo, varSpace->launchContext());
// now we just put array to VarSpace
varSpace->putVariable(0, e, array);
node.pickInput(0, e);
}
// mapping scopes
for (int e = 0; e < numScopes; e++) {
// we should check scope existence in GraphState/Graph
int scopeId = (int) scopes[e];
if (!state->hasScope(scopeId)) {
// nd4j_printf("execCustomOpWithScope: referenced scope [%i] doesn't exist\n", scopeId);
return Status::THROW();
}
node.pickInput(scopeId, 0);
}
auto dZ = LogicExecutor::processNode(graph, &node);
if (dZ != Status::OK())
return dZ;
// mapping outputs
for (int e = 0; e < numOutputs; e++) {
auto buffer = outputBuffers[e];
auto shapeInfo = reinterpret_cast<Nd4jLong *>(outputShapes[e]);
NDArray array(buffer, shapeInfo, varSpace->launchContext());
// now we just put array to VarSpace to the same ID
//varSpace->putVariable(0, e, array);
auto t = varSpace->getVariable(0, e)->getNDArray();
array.assign(t);
}
// removing input variables
for (int e = 0; e < numInputs; e++) {
varSpace->dropVariable(0, e);
}
// after some bla-bla-bla we should have Graph and Node for current op
return Status::OK();
}
Nd4jStatus execCustomOpWithScope(Nd4jPointer *extraPointers, Nd4jPointer state, Nd4jLong opHash, Nd4jLong *scopes, int numScopes, Nd4jPointer *inputBuffers, Nd4jPointer *inputShapes, int numInputs, Nd4jPointer *outputBuffers, Nd4jPointer *outputShapes, int numOutputs) {
try {
return execCustomOpWithScope(extraPointers, reinterpret_cast<nd4j::graph::GraphState *>(state), opHash, scopes,
numScopes, inputBuffers, inputShapes, numInputs, outputBuffers, outputShapes,
numOutputs);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return 1;
}
}
void deleteResultWrapper(Nd4jPointer ptr) {
// just 0 room for compiler s@!t
auto p = reinterpret_cast<nd4j::graph::ResultWrapper *>(ptr);
delete p;
}
int estimateThreshold(Nd4jPointer *extraPointers, Nd4jPointer dX, Nd4jLong *dXShapeInfo, int N, float threshold) {
throw std::runtime_error("estimateThreshold: Not implemented yet");
}
/*
* TypeDef:
* void convertTypes(Nd4jPointer *extras, int srcType, Nd4jPointer dX, long N, int dstType, Nd4jPointer dZ);
*/
void convertTypes(Nd4jPointer *extras, int srcType, Nd4jPointer dX, Nd4jLong N, int dstType, Nd4jPointer dZ) {
try {
auto dx = reinterpret_cast<void *>(dX);
auto dz = reinterpret_cast<void *>(dZ);
if (srcType == ND4J_FLOAT8) {
if (dstType == ND4J_FLOAT8) {
// convertKernel<double, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, nd4j::int8>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, nd4j::uint8>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, nd4j::int16>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, nd4j::uint16>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
} else if (dstType == ND4J_FLOAT32) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, float>(extras, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
//nd4j::TypeCast::convertGenericCuda<nd4j::float8, double>(extras, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_INT8) {
if (dstType == ND4J_FLOAT8) {
//nd4j::TypeCast::convertGenericCuda<nd4j::int8, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
//convertKernel<nd4j::int8, nd4j::int8>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
nd4j::TypeCast::convertGenericCuda<int8_t, uint8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
nd4j::TypeCast::convertGenericCuda<int8_t, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
nd4j::TypeCast::convertGenericCuda<int8_t, int16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
nd4j::TypeCast::convertGenericCuda<int8_t, uint16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
// TODO: eventually we might want to add it
} else if (dstType == ND4J_FLOAT32) {
nd4j::TypeCast::convertGenericCuda<int8_t, float>(extras, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
nd4j::TypeCast::convertGenericCuda<int8_t, double>(extras, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_UINT8) {
if (dstType == ND4J_FLOAT8) {
//nd4j::TypeCast::convertGenericCuda<uint8_t, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
nd4j::TypeCast::convertGenericCuda<uint8_t, int8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
nd4j::TypeCast::convertGenericCuda<uint8_t, uint8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
nd4j::TypeCast::convertGenericCuda<uint8_t, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
nd4j::TypeCast::convertGenericCuda<uint8_t, int16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
nd4j::TypeCast::convertGenericCuda<uint8_t, uint16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
// TODO: still might want to add
} else if (dstType == ND4J_FLOAT32) {
nd4j::TypeCast::convertGenericCuda<uint8_t, float>(extras, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
nd4j::TypeCast::convertGenericCuda<uint8_t, double>(extras, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_FLOAT16) {
if (dstType == ND4J_FLOAT8) {
//nd4j::TypeCast::convertGenericCuda<float16, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
nd4j::TypeCast::convertGenericCuda<float16, int8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
nd4j::TypeCast::convertGenericCuda<float16, uint8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
nd4j::TypeCast::convertGenericCuda<float16, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
nd4j::TypeCast::convertGenericCuda<float16, int16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
nd4j::TypeCast::convertGenericCuda<float16, uint16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
// TODO: .... ^^^
} else if (dstType == ND4J_FLOAT32) {
nd4j::TypeCast::convertGenericCuda<float16, float>(extras, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
nd4j::TypeCast::convertGenericCuda<float16, double>(extras, dx, N, dz);
} else if (dstType == ND4J_THRESHOLD) {
//nd4j::convertToThreshold<float16>(nullptr, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_INT16) {
if (dstType == ND4J_FLOAT8) {
//nd4j::TypeCast::convertGenericCuda<int16_t, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
nd4j::TypeCast::convertGenericCuda<int16_t, int8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
nd4j::TypeCast::convertGenericCuda<int16_t, uint8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
nd4j::TypeCast::convertGenericCuda<int16_t, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
nd4j::TypeCast::convertGenericCuda<int16_t, int16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
nd4j::TypeCast::convertGenericCuda<int16_t, uint16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
// TODO...
} else if (dstType == ND4J_FLOAT32) {
nd4j::TypeCast::convertGenericCuda<int16_t, float>(extras, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
nd4j::TypeCast::convertGenericCuda<int16_t, double>(extras, dx, N, dz);
} else {
printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_FLOAT24) {
} else if (srcType == ND4J_FLOAT32) {
if (dstType == ND4J_FLOAT8) {
//nd4j::TypeCast::convertGenericCuda<float, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
nd4j::TypeCast::convertGenericCuda<float, int8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
nd4j::TypeCast::convertGenericCuda<float, uint8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
nd4j::TypeCast::convertGenericCuda<float, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
nd4j::TypeCast::convertGenericCuda<float, int16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
nd4j::TypeCast::convertGenericCuda<float, uint16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
} else if (dstType == ND4J_DOUBLE) {
nd4j::TypeCast::convertGenericCuda<float, double>(extras, dx, N, dz);
} else if (dstType == ND4J_THRESHOLD) {
//nd4j::convertToThreshold<float>(nullptr, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_DOUBLE) {
if (dstType == ND4J_FLOAT8) {
//nd4j::TypeCast::convertGenericCuda<double, nd4j::float8>(extras, dx, N, dz);
} else if (dstType == ND4J_INT8) {
nd4j::TypeCast::convertGenericCuda<double, int8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT8) {
nd4j::TypeCast::convertGenericCuda<double, uint8_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT16) {
nd4j::TypeCast::convertGenericCuda<double, float16>(extras, dx, N, dz);
} else if (dstType == ND4J_INT16) {
nd4j::TypeCast::convertGenericCuda<double, int16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_UINT16) {
nd4j::TypeCast::convertGenericCuda<double, uint16_t>(extras, dx, N, dz);
} else if (dstType == ND4J_FLOAT24) {
} else if (dstType == ND4J_FLOAT32) {
nd4j::TypeCast::convertGenericCuda<double, float>(extras, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
//
} else if (dstType == ND4J_THRESHOLD) {
//nd4j::convertToThreshold<double>(nullptr, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else if (srcType == ND4J_THRESHOLD) {
if (dstType == ND4J_FLOAT16) {
//nd4j::convertFromThreshold<float16>(nullptr, dx, N, dz);
} else if (dstType == ND4J_FLOAT32) {
//nd4j::convertFromThreshold<float>(nullptr, dx, N, dz);
} else if (dstType == ND4J_DOUBLE) {
//nd4j::convertFromThreshold<double>(nullptr, dx, N, dz);
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} else {
nd4j_printf("Unsupported types conversion: [%i] -> [%i]\n", srcType, dstType);
}
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
Nd4jPointer createUtf8String(Nd4jPointer *extraPointers, const char *string, int length) {
auto u = new nd4j::utf8string(string, length);
return reinterpret_cast<Nd4jPointer>(u);
}
Nd4jLong getUtf8StringLength(Nd4jPointer *extraPointers, Nd4jPointer ptr) {
return reinterpret_cast<nd4j::utf8string*>(ptr)->_length;
}
char* getUtf8StringBuffer(Nd4jPointer *extraPointers, Nd4jPointer ptr) {
return reinterpret_cast<nd4j::utf8string*>(ptr)->_buffer;
}
void deleteUtf8String(Nd4jPointer *extraPointers, Nd4jPointer ptr) {
delete(reinterpret_cast<nd4j::utf8string*>(ptr));
}
///////////////////////////////////////////////////////////////////
template<typename T, typename I>
__global__ static void scatterUpdateCuda(const int opCode, const int numOfSubArrs,
void* vx, const Nd4jLong *xShapeInfo, const Nd4jLong *xOffsets,
void* vy, const Nd4jLong *yShapeInfo, const Nd4jLong *yOffsets,
const void* vindexes) {
__shared__ T *x, *y;
__shared__ Nd4jLong arrLenX, arrLenY;
auto indexes = reinterpret_cast<const I*>(vindexes);
for (int e = 0; e < numOfSubArrs; e++ ) {
const auto xIndex = indexes[e];
const bool isOwner = xIndex < gridDim.x ? blockIdx.x == xIndex : blockIdx.x == xIndex % gridDim.x;
if (!isOwner)
continue;
if (threadIdx.x == 0) {
x = reinterpret_cast<T*>(vx) + xOffsets[xIndex];
y = reinterpret_cast<T*>(vy) + yOffsets[e];
arrLenX = shape::length(xShapeInfo);
arrLenY = shape::length(yShapeInfo);
}
__syncthreads();
if (arrLenX != arrLenY)
return;
for (Nd4jLong i = threadIdx.x; i < arrLenX; i += blockDim.x) {
const auto xOffset = shape::getIndexOffset(i, xShapeInfo);
const auto yOffset = shape::getIndexOffset(i, yShapeInfo);
switch (opCode) {
case 0:
x[xOffset] += y[yOffset];
break;
case 1:
x[xOffset] -= y[yOffset];
break;
case 2:
x[xOffset] *= y[yOffset];
break;
case 3:
x[xOffset] /= y[yOffset];
break;
case 4:
x[xOffset] = y[yOffset] - x[xOffset];
break;
case 5:
x[xOffset] = y[yOffset] / x[xOffset];
break;
case 6:
x[xOffset] = y[yOffset];
break;
default:
continue;
}
}
__syncthreads();
}
}
template<typename T, typename I>
__host__ static void scatterUpdateCudaLauncher(const cudaStream_t* stream, const int opCode, const int numOfSubArrs, void* vx, const Nd4jLong *xShapeInfo, const Nd4jLong *xOffsets, void* vy, const Nd4jLong *yShapeInfo, const Nd4jLong *yOffsets, const void* indexes) {
scatterUpdateCuda<T, I><<<512, 256, MAX_NUM_THREADS, *stream>>>(opCode, numOfSubArrs, vx, xShapeInfo, xOffsets, vy, yShapeInfo, yOffsets, indexes);
}
//////////////////////////////////////////////////////////////////////////
void scatterUpdate(Nd4jPointer *extraPointers, int opCode, int numOfSubArrs,
void* hX, Nd4jLong* hXShapeInfo, Nd4jLong* hXOffsets,
void* dX, Nd4jLong* dXShapeInfo, Nd4jLong* dXOffsets,
void* hY, Nd4jLong* hYShapeInfo, Nd4jLong* hYOffsets,
void* dY, Nd4jLong* dYShapeInfo, Nd4jLong* dYOffsets,
void* hIindexes, Nd4jLong* hIndicesShapeInfo, void* dIindexes, Nd4jLong* dIndicesShapeInfo) {
try {
auto stream = reinterpret_cast<cudaStream_t *>(extraPointers[1]);
auto type = ArrayOptions::dataType(hXShapeInfo);
auto iType = ArrayOptions::dataType(hIndicesShapeInfo);
BUILD_DOUBLE_SELECTOR(type, iType, scatterUpdateCudaLauncher,
(stream, opCode, numOfSubArrs, dX, dXShapeInfo, dXOffsets, dY, dYShapeInfo, dYOffsets, dIindexes),
LIBND4J_TYPES, INDEXING_TYPES);
nd4j::DebugHelper::checkErrorCode(stream, "scatterUpdate(...) failed");
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void inspectArray(Nd4jPointer *extraPointers, Nd4jPointer buffer, Nd4jLong *shapeInfo, Nd4jPointer specialBuffer, Nd4jLong *specialShapeInfo, Nd4jPointer debugInfo) {
try {
LaunchContext lc(extraPointers[1], extraPointers[4], extraPointers[5], extraPointers[3]);
auto p = reinterpret_cast<nd4j::DebugInfo *>(debugInfo);
NDArray array(buffer, specialBuffer, shapeInfo, &lc);
nd4j::DebugHelper::retrieveDebugStatistics(p, &array);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
void __global__ tryPointerKernel(void* p, int len) {
auto buf = reinterpret_cast<int8_t*>(p);
auto tid = threadIdx.x + blockIdx.x * blockDim.x;
__shared__ int b;
if (tid < len)
atomicAdd(&b, buf[tid]);
__syncthreads();
if (threadIdx.x ==0 && blockIdx.x == 0)
printf("Pointer check complete: %i\n", b);
}
void tryPointer(Nd4jPointer extra, Nd4jPointer p, int len) {
try {
cudaStream_t stream;
cudaStreamCreate(&stream);
tryPointerKernel << < 256, 512, len + 64, stream >> > (p, len);
auto e = cudaStreamSynchronize(stream);
if (e != 0)
throw nd4j::cuda_exception::build("tryPointer failed", e);
cudaStreamDestroy(stream);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
int dataTypeFromNpyHeader(void *header) {
return (int) cnpy::dataTypeFromHeader(reinterpret_cast<char *>(header));
}
nd4j::ConstantDataBuffer* shapeBuffer(int rank, Nd4jLong *shape, Nd4jLong *strides, nd4j::DataType dtype, char order, Nd4jLong ews, bool empty) {
try {
auto buffer = new ConstantDataBuffer();
*buffer = nd4j::ConstantShapeHelper::getInstance()->bufferForShapeInfo(
ShapeDescriptor(dtype, order, shape, strides, rank, ews, empty));
return buffer;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
void deleteShapeBuffer(nd4j::ConstantDataBuffer* ptr) {
delete ptr;
}
void deleteTadPack(nd4j::TadPack* ptr) {
delete ptr;
}
bool isBlasVersionMatches(int major, int minor, int build) {
auto result = major == Environment::getInstance()->_blasMajorVersion && minor == Environment::getInstance()->_blasMinorVersion && build == Environment::getInstance()->_blasPatchVersion;
if (!result) {
nd4j_printf("CUDA/cuBLAS version mismatch. Expected: %i.%i.%i but got %i.%i.%i instead\n", Environment::getInstance()->_blasMajorVersion, Environment::getInstance()->_blasMinorVersion, Environment::getInstance()->_blasPatchVersion, major, minor, build);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(152);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage("CUDA/cuBLAS version mismatch");
}
return result;
}
nd4j::ConstantDataBuffer* constantBufferLong(nd4j::DataType dtype, Nd4jLong *data, int length) {
return nd4j::ConstantHelper::getInstance()->constantBuffer(ConstantDescriptor(data, length), dtype);
}
nd4j::ConstantDataBuffer* constantBufferDouble(nd4j::DataType dtype, double *data, int length) {
return nd4j::ConstantHelper::getInstance()->constantBuffer(ConstantDescriptor(data, length), dtype);
}
nd4j::ConstantDataBuffer* constantBuffer(nd4j::DataType dtype, nd4j::ConstantDescriptor *descriptor) {
return nd4j::ConstantHelper::getInstance()->constantBuffer(*descriptor, dtype);
}
Nd4jPointer getConstantDataBufferPrimary(nd4j::ConstantDataBuffer* dbf) {
return dbf->primary();
}
Nd4jPointer getConstantDataBufferSpecial(nd4j::ConstantDataBuffer* dbf) {
return dbf->special();
}
Nd4jLong getConstantDataBufferLength(nd4j::ConstantDataBuffer* dbf) {
return dbf->length();
}
Nd4jLong getConstantDataBufferSizeOf(nd4j::ConstantDataBuffer* dbf) {
return dbf->sizeOf();
}
nd4j::graph::Context* createGraphContext(int nodeId) {
return new nd4j::graph::Context(nodeId);
}
nd4j::graph::RandomGenerator* getGraphContextRandomGenerator(nd4j::graph::Context* ptr) {
return &ptr->randomGenerator();
}
void markGraphContextInplace(nd4j::graph::Context* ptr, bool reallyInplace) {
ptr->markInplace(reallyInplace);
}
void setGraphContextCudaContext(nd4j::graph::Context* ptr, void *stream, void *reductionPointer, void *allocationPointer) {
ptr->setCudaContext(stream, reductionPointer, allocationPointer);
}
void setGraphContextInputArray(nd4j::graph::Context* ptr, int index, void *buffer, void *shapeInfo, void *specialBuffer, void *specialShapeInfo) {
ptr->setInputArray(index, buffer, shapeInfo, specialBuffer, specialShapeInfo);
}
void setGraphContextOutputArray(nd4j::graph::Context* ptr, int index, void *buffer, void *shapeInfo, void *specialBuffer, void *specialShapeInfo) {
ptr->setOutputArray(index, buffer, shapeInfo, specialBuffer, specialShapeInfo);
}
void setGraphContextInputBuffer(OpaqueContext* ptr, int index, OpaqueDataBuffer *buffer, void *shapeInfo, void *specialShapeInfo) {
ptr->setInputArray(index, buffer, shapeInfo, specialShapeInfo);
}
void setGraphContextOutputBuffer(OpaqueContext* ptr, int index, OpaqueDataBuffer *buffer, void *shapeInfo, void *specialShapeInfo) {
ptr->setOutputArray(index, buffer, shapeInfo, specialShapeInfo);
}
void setGraphContextTArguments(nd4j::graph::Context* ptr, double *arguments, int numberOfArguments) {
ptr->setTArguments(arguments, numberOfArguments);
}
void setGraphContextIArguments(nd4j::graph::Context* ptr, Nd4jLong *arguments, int numberOfArguments) {
ptr->setIArguments(arguments, numberOfArguments);
}
void setGraphContextBArguments(nd4j::graph::Context* ptr, bool *arguments, int numberOfArguments) {
ptr->setBArguments(arguments, numberOfArguments);
}
void deleteGraphContext(nd4j::graph::Context* ptr) {
delete ptr;
}
nd4j::graph::RandomGenerator* createRandomGenerator(Nd4jLong rootSeed, Nd4jLong nodeSeed) {
try {
return new nd4j::graph::RandomGenerator(rootSeed, nodeSeed);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jLong getRandomGeneratorRootState(nd4j::graph::RandomGenerator* ptr) {
return ptr->rootState();
}
Nd4jLong getRandomGeneratorNodeState(nd4j::graph::RandomGenerator* ptr) {
return ptr->nodeState();
}
void setRandomGeneratorStates(nd4j::graph::RandomGenerator* ptr, Nd4jLong rootSeed, Nd4jLong nodeSeed) {
ptr->setStates(rootSeed, nodeSeed);
}
int getRandomGeneratorRelativeInt(nd4j::graph::RandomGenerator* ptr, Nd4jLong index) {
return ptr->relativeInt(index);
}
Nd4jLong getRandomGeneratorRelativeLong(nd4j::graph::RandomGenerator* ptr, Nd4jLong index) {
return ptr->relativeLong(index);
}
void deleteRandomGenerator(nd4j::graph::RandomGenerator* ptr) {
delete ptr;
}
Nd4jPointer shapeBufferForNumpy(Nd4jPointer npyArray) {
try {
cnpy::NpyArray arr = cnpy::loadNpyFromPointer(reinterpret_cast<char *>(npyArray));
unsigned int shapeSize = arr.shape.size();
std::vector<Nd4jLong> shape(shapeSize);
bool _empty = false;
for (unsigned int i = 0; i < shapeSize; i++) {
shape[i] = arr.shape[i];
if (arr.shape[i] == 0)
_empty = true;
}
auto dtype = cnpy::dataTypeFromHeader(reinterpret_cast<char *>(npyArray));
Nd4jLong *shapeBuffer;
if (shape.size() == 1 && shape[0] == 0) {
// scalar case
shapeBuffer = nd4j::ShapeBuilders::createScalarShapeInfo(dtype);
} else if (_empty) {
if (shapeSize > 0)
shapeBuffer = nd4j::ShapeBuilders::emptyShapeInfo(dtype, arr.fortranOrder ? 'f' : 'c', shape);
else
shapeBuffer = nd4j::ShapeBuilders::emptyShapeInfo(dtype);
} else {
shapeBuffer = nd4j::ShapeBuilders::createShapeInfo(dtype, arr.fortranOrder ? 'f' : 'c', shape);
}
return reinterpret_cast<Nd4jPointer>(nd4j::ConstantShapeHelper::getInstance()->createFromExisting(shapeBuffer,
true));
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
const char* runLightBenchmarkSuit(bool printOut) {
try {
nd4j::LightBenchmarkSuit suit;
auto result = suit.runSuit();
if (printOut)
nd4j_printf("%s\n", result.data());
auto chars = new char[result.length() + 1];
std::memcpy(chars, result.data(), result.length());
chars[result.length()] = (char) 0x0;
return chars;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
const char* runFullBenchmarkSuit(bool printOut) {
try {
nd4j::FullBenchmarkSuit suit;
auto result = suit.runSuit();
if (printOut)
nd4j_printf("%s\n", result.data());
auto chars = new char[result.length() + 1];
std::memcpy(chars, result.data(), result.length());
chars[result.length()] = (char) 0x0;
return chars;
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jLong getCachedMemory(int deviceId) {
return nd4j::ConstantHelper::getInstance()->getCachedAmount(deviceId);
}
nd4j::LaunchContext* defaultLaunchContext() {
return LaunchContext::defaultContext();
}
Nd4jPointer lcScalarPointer(OpaqueLaunchContext* lc) {
return lc->getScalarPointer();
}
Nd4jPointer lcReductionPointer(OpaqueLaunchContext* lc) {
return lc->getReductionPointer();
}
Nd4jPointer lcAllocationPointer(OpaqueLaunchContext* lc) {
return lc->getAllocationPointer();
}
Nd4jPointer lcExecutionStream(OpaqueLaunchContext* lc) {
return lc->getCudaStream();
}
Nd4jPointer lcCopyStream(OpaqueLaunchContext* lc) {
return lc->getCudaSpecialStream();
}
Nd4jPointer lcBlasHandle(OpaqueLaunchContext* lc) {
return lc->getCublasHandle();
}
Nd4jPointer lcSolverHandle(OpaqueLaunchContext* lc) {
return lc->getCusolverHandle();
}
int lastErrorCode() {
return nd4j::LaunchContext::defaultContext()->errorReference()->errorCode();
}
const char* lastErrorMessage() {
return nd4j::LaunchContext::defaultContext()->errorReference()->errorMessage();
}
void ctxShapeFunctionOverride(OpaqueContext* ptr, bool reallyOverride) {
ptr->setShapeFunctionOverride(reallyOverride);
}
int binaryLevel() {
return 0;
}
int optimalLevel() {
return 0;
}
bool isMinimalRequirementsMet() {
return true;
}
bool isOptimalRequirementsMet() {
return true;
}
void ctxAllowHelpers(OpaqueContext* ptr, bool reallyAllow) {
ptr->allowHelpers(reallyAllow);
}
void ctxSetExecutionMode(OpaqueContext* ptr, int execMode) {
if (execMode < 0 || execMode > 2)
execMode = 0;
ptr->setExecutionMode((samediff::ExecutionMode) execMode);
}
OpaqueDataBuffer* allocateDataBuffer(Nd4jLong elements, int dataType, bool allocateBoth) {
try {
auto dtype = DataTypeUtils::fromInt(dataType);
return new nd4j::InteropDataBuffer(elements * DataTypeUtils::sizeOf(dtype), dtype, allocateBoth);
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
return nullptr;
}
}
Nd4jPointer dbPrimaryBuffer(OpaqueDataBuffer *dataBuffer) {
return dataBuffer->primary();
}
Nd4jPointer dbSpecialBuffer(OpaqueDataBuffer *dataBuffer) {
return dataBuffer->special();
}
void deleteDataBuffer(OpaqueDataBuffer *dataBuffer) {
delete dataBuffer;
}
void dbSetPrimaryBuffer(OpaqueDataBuffer *dataBuffer, Nd4jPointer primaryBuffer, Nd4jLong numBytes) {
dataBuffer->setPrimary(primaryBuffer, numBytes);
}
void dbSetSpecialBuffer(OpaqueDataBuffer *dataBuffer, Nd4jPointer specialBuffer, Nd4jLong numBytes) {
dataBuffer->setSpecial(specialBuffer, numBytes);
}
void dbAllocatePrimaryBuffer(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->allocatePrimary();
}
void dbAllocateSpecialBuffer(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->allocateSpecial();
}
void dbExpandBuffer(OpaqueDataBuffer *dataBuffer, Nd4jLong elements) {
try {
dataBuffer->dataBuffer()->expand(elements * DataTypeUtils::sizeOf(dataBuffer->dataBuffer()->getDataType()));
} catch (std::exception &e) {
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorCode(1);
nd4j::LaunchContext::defaultContext()->errorReference()->setErrorMessage(e.what());
}
}
OpaqueDataBuffer* dbCreateView(OpaqueDataBuffer *dataBuffer, Nd4jLong length, Nd4jLong offset) {
return new InteropDataBuffer(*dataBuffer, length, offset);
}
void dbSyncToSpecial(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->syncToSpecial();
}
void dbSyncToPrimary(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->syncToPrimary(nullptr);
}
void dbTickHostRead(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->readPrimary();
}
void dbTickHostWrite(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->writePrimary();
}
void dbTickDeviceRead(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->readSpecial();
}
void dbTickDeviceWrite(OpaqueDataBuffer *dataBuffer) {
dataBuffer->dataBuffer()->writeSpecial();
}
void dbExpand(OpaqueDataBuffer *dataBuffer, Nd4jLong elements) {
dataBuffer->expand(elements);
}
void dbClose(OpaqueDataBuffer *dataBuffer) {
dataBuffer->getDataBuffer()->close();
}
int dbDeviceId(OpaqueDataBuffer *dataBuffer) {
return dataBuffer->deviceId();
}
void dbSetDeviceId(OpaqueDataBuffer *dataBuffer, int deviceId) {
dataBuffer->setDeviceId(deviceId);
}
int dbLocality(OpaqueDataBuffer *dataBuffer) {
auto p = dataBuffer->dataBuffer()->isPrimaryActual();
auto d = dataBuffer->dataBuffer()->isSpecialActual();
if (p && d)
return 0;
else if (p)
return -1;
else
return 1;
}
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