1713 lines
83 KiB
Plaintext
1713 lines
83 KiB
Plaintext
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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#include <legacy/NativeOpExecutioner.h>
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#include <cuda.h>
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#include <system/op_boilerplate.h>
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#include <helpers/DebugHelper.h>
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#include <array/DataTypeUtils.h>
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#include <exceptions/datatype_exception.h>
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#include <exceptions/cuda_exception.h>
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#include <helpers/CudaLaunchHelper.h>
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#include <helpers/ShapeBuilders.h>
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#include <helpers/PointersManager.h>
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#include <array/ConstantDataBuffer.h>
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#include <array/ShapeDescriptor.h>
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#include <helpers/ConstantShapeHelper.h>
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#include <loops/transform_float.h>
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#include <loops/transform_bool.h>
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#include <loops/transform_any.h>
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#include <loops/transform_same.h>
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#include <loops/transform_strict.h>
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#include <loops/reduce_float.h>
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#include <loops/reduce_same.h>
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#include <loops/reduce_bool.h>
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#include <loops/reduce_long.h>
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#include <loops/indexreduce.h>
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#include <loops/pairwise_transform.h>
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#include <loops/pairwise_bool.h>
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#include <loops/pairwise_int.h>
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#include <loops/broadcasting_bool.h>
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#include <loops/broadcasting_int.h>
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#include <loops/broadcasting.h>
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#include <loops/reduce_float.h>
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#include <loops/reduce3.h>
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#include <loops/summarystatsreduce.h>
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#include <loops/transform_same.h>
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#include <loops/random.h>
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#include <loops/special_kernels.h>
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#include <loops/scalar.h>
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#include <loops/scalar_bool.h>
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#include <loops/scalar_int.h>
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using namespace sd;
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/**
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* This is utility kernel, that updates given special buffer with proper values in device memory
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*/
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extern "C" __global__ void prepareShapeBuffer(int *dimension, int *maxDimension, Nd4jLong *specialPointer, int rows, sd::DataType dataType) {
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Nd4jLong tid = blockIdx.x * blockDim.x + threadIdx.x;
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if (tid > 0)
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return;
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dimension[0] = 0;
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maxDimension[0] = 1;
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specialPointer[0] = 2;
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specialPointer[1] = rows;
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specialPointer[2] = 1;
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specialPointer[3] = 1;
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specialPointer[4] = 1;
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specialPointer[5] = 0;
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specialPointer[6] = 1;
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specialPointer[7] = 99;
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ArrayOptions::setDataType(specialPointer, dataType);
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//printf("special[0]: [%lld]\n", (long long) specialPointer[0]);
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//shape::printShapeInfoLinear("prepareShapeBuffer", specialPointer);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execPairwiseTransform(sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void const* hY, Nd4jLong const* hYShapeInfo,
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void const* dY, Nd4jLong const* dYShapeInfo,
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void *hZ, Nd4jLong const* hZShapeInfo,
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void *dZ, Nd4jLong const* dZShapeInfo,
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void *extraParams) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (xType != zType && yType != zType)
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throw std::runtime_error("NativeOpExecutioner::execPairwiseTransform requires Z operand to have either X or Y type");
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if (lc == nullptr)
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throw std::runtime_error("NativeOpExecutioner::execPairwiseTransform: launch context cannot be nullptr !");
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if (stream == nullptr)
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throw std::runtime_error("NativeOpExecutioner::execPairwiseTransform: CUDA stream cannot be nullptr !");
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dim3 launchDims(256, 1024, 8192);
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#ifdef __ND4J_EXPERIMENTAL__
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BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::pairwise_transforms::PairWiseTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams), LIBND4J_TYPES, LIBND4J_TYPES)
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#else
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BUILD_SINGLE_SELECTOR_THRICE(xType, functions::pairwise_transforms::PairWiseTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams), LIBND4J_TYPES)
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#endif
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execPairwiseTransform failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execPairwiseBoolTransform( sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void const* hY, Nd4jLong const* hYShapeInfo,
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void const* dY, Nd4jLong const* dYShapeInfo,
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void *hZ, Nd4jLong const* hZShapeInfo,
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void *dZ, Nd4jLong const* dZShapeInfo,
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void *extraParams) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (!DataTypeUtils::isB(zType))
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throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseBoolTransform wrong Z operand data type", sd::DataType::BOOL, zType);
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if (yType != xType)
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throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseBoolTransform both operands must have same data type", xType, yType);
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dim3 launchDims(256, 1024, 16384);
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BUILD_DOUBLE_SELECTOR(xType, zType, functions::pairwise_transforms::PairWiseBoolTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams), LIBND4J_TYPES, BOOL_TYPES)
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execPairwiseBoolTransform failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execPairwiseIntTransform( sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void const* hY, Nd4jLong const* hYShapeInfo,
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void const* dY, Nd4jLong const* dYShapeInfo,
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void * hZ, Nd4jLong const* hZShapeInfo,
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void * dZ, Nd4jLong const* dZShapeInfo,
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void *extraParams) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (!DataTypeUtils::isZ(zType))
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throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseIntTransform wrong Z operand data type", sd::DataType::BOOL, zType);
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if (yType != xType || zType != xType)
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throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseIntTransform both operands must have same data type", xType, yType);
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dim3 launchDims(256, 1024, 16384);
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BUILD_SINGLE_SELECTOR(xType, functions::pairwise_transforms::PairWiseIntTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams), INTEGER_TYPES)
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execPairwiseIntTransform failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execSummaryStatsScalar(sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void *extraParams,
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void *hZ, Nd4jLong const* hZShapeInfo,
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void *dZ, Nd4jLong const* dZShapeInfo,
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bool biasCorrected) {
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auto stream = lc->getCudaStream();
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auto reductionPointer = lc->getReductionPointer();
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dim3 launchDims = dim3(256, CUDA_BLOCK_SIZE, 1024);
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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BUILD_DOUBLE_SELECTOR(xType, zType, functions::summarystats::SummaryStatsReduce, ::execSummaryStatsReduceScalar(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, dZ, dZShapeInfo, hZShapeInfo, nullptr, nullptr, biasCorrected, reductionPointer), LIBND4J_TYPES, FLOAT_TYPES);
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execSummaryStatsScalar failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execBroadcastBool(sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void const* hY, Nd4jLong const* hYShapeInfo,
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void const* dY, Nd4jLong const* dYShapeInfo,
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void *hZ, Nd4jLong const* hZShapeInfo,
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void *dZ, Nd4jLong const* dZShapeInfo,
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void *extraParams,
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int *dimension, int dimensionLength,
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Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
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Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (!DataTypeUtils::isB(zType))
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throw std::runtime_error("NativeOpExecutioner::execBroadcastBool requires Z operand to have BOOL type");
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if (yType != xType)
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throw std::runtime_error("NativeOpExecutioner::execBroadcastBool requires both X & Y operands to have same type");
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if (sd::Environment::getInstance().isDebugAndVerbose())
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printf("F3B opNum:[%i]\n", opNum);
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dim3 launchDims(256, 256, 1024);
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BUILD_DOUBLE_SELECTOR(xType, zType, functions::broadcast::BroadcastBool, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, BOOL_TYPES)
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execBroadcastBool failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execBroadcastBool(sd::LaunchContext* lc, const int opNum,
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const void *hX, const Nd4jLong *hXShapeInfo,
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const void *dX, const Nd4jLong *dXShapeInfo,
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const void *hY, const Nd4jLong *hYShapeInfo,
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const void *dY, const Nd4jLong *dYShapeInfo,
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void *hZ, const Nd4jLong *hZShapeInfo,
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void *dZ, const Nd4jLong *dZShapeInfo,
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void *extraParams) {
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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dim3 launchDims;
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launchDims.y = MAX_NUM_THREADS / 4; // threadsPerBlock
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launchDims.x = (shape::length(hZShapeInfo) + launchDims.y - 1) / launchDims.y; // blocksPerGrid
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launchDims.z = 1024; // shared memory
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BUILD_DOUBLE_SELECTOR(xType, zType, functions::broadcast::BroadcastBool, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams), LIBND4J_TYPES, BOOL_TYPES);
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execBroadcastBool failed", res);
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}
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void NativeOpExecutioner::execInverseBroadcastBool(sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void const* hY, Nd4jLong const* hYShapeInfo,
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void const* dY, Nd4jLong const* dYShapeInfo,
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void* hZ, Nd4jLong const* hZShapeInfo,
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void *dZ, Nd4jLong const* dZShapeInfo,
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void *extraParams,
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int *dimension, int dimensionLength,
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Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
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Nd4jLong const* tadOnlyShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (!DataTypeUtils::isB(zType))
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throw std::runtime_error("NativeOpExecutioner::execBroadcastBool requires Z operand to have BOOL type");
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if (yType != xType)
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throw std::runtime_error("NativeOpExecutioner::execBroadcastBool requires both X & Y operands to have same type");
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dim3 launchDims(256, 256, 1024);
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BUILD_DOUBLE_SELECTOR(xType, zType, functions::broadcast::BroadcastBool, ::execInverseBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, BOOL_TYPES)
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execInverseBroadcastBool failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execBroadcastInt(sd::LaunchContext *lc,
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int opNum,
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void const* hX, Nd4jLong const* hXShapeInfo,
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void const* dX, Nd4jLong const* dXShapeInfo,
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void const* hY, Nd4jLong const* hYShapeInfo,
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void const* dY, Nd4jLong const* dYShapeInfo,
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void *hZ, Nd4jLong const* hZShapeInfo,
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void *dZ, Nd4jLong const* dZShapeInfo,
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int *dimension, int dimensionLength,
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Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
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Nd4jLong const* tadOnlyShapeInfoZ,Nd4jLong const* tadOffsetsZ) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (!DataTypeUtils::isZ(zType))
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throw std::runtime_error("NativeOpExecutioner::execBroadcastInt requires Z operand to have INT type");
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if (yType != xType || zType != xType)
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throw std::runtime_error("NativeOpExecutioner::execBroadcastInt requires both X & Y operands to have same type");
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dim3 launchDims(256, 256, 1024);
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BUILD_SINGLE_SELECTOR(xType, functions::broadcast::BroadcastInt, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), INTEGER_TYPES)
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execBroadcastBool failed", res);
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}
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////////////////////////////////////////////////////////////////////////
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void NativeOpExecutioner::execBroadcastInt(sd::LaunchContext* lc, const int opNum,
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const void *hX, const Nd4jLong *hXShapeInfo,
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const void *dX, const Nd4jLong *dXShapeInfo,
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const void *hY, const Nd4jLong *hYShapeInfo,
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const void *dY, const Nd4jLong *dYShapeInfo,
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void *hZ, const Nd4jLong *hZShapeInfo,
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void *dZ, const Nd4jLong *dZShapeInfo) {
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auto stream = lc->getCudaStream();
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auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
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auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
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auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
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if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
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return;
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if (!DataTypeUtils::isZ(zType))
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throw std::runtime_error("NativeOpExecutioner::execBroadcastInt requires Z operand to have INT type");
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if (yType != xType || zType != xType)
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throw std::runtime_error("NativeOpExecutioner::execBroadcastInt requires both X & Y operands to have same type");
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dim3 launchDims;
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launchDims.y = MAX_NUM_THREADS / 4; // threadsPerBlock
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launchDims.x = (shape::length(hZShapeInfo) + launchDims.y - 1) / launchDims.y; // blocksPerGrid
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launchDims.z = 1024; // shared memory
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BUILD_SINGLE_SELECTOR(xType, functions::broadcast::BroadcastInt, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo), INTEGER_TYPES)
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// TODO: remove after the release
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auto res = cudaStreamSynchronize(*stream);
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if (res != 0)
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throw cuda_exception::build("execBroadcastBool failed", res);
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}
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void NativeOpExecutioner::execInverseBroadcastInt(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* tadOnlyShapeInfoZ,Nd4jLong const* tadOffsetsZ) {
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
|
|
return;
|
|
|
|
if (!DataTypeUtils::isZ(zType))
|
|
throw std::runtime_error("NativeOpExecutioner::execBroadcastInt requires Z operand to have INT type");
|
|
|
|
if (yType != xType || zType != xType)
|
|
throw std::runtime_error("NativeOpExecutioner::execBroadcastInt requires both X & Y operands to have same type");
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("F3BI opNum:[%i]\n", opNum);
|
|
|
|
dim3 launchDims(256, 256, 1024);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, functions::broadcast::BroadcastInt, ::execInverseBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), INTEGER_TYPES)
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execInverseBroadcastInt failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param dX
|
|
* @param dXShapeInfo
|
|
* @param dY
|
|
* @param dYShapeInfo
|
|
* @param dZ
|
|
* @param dZShapeInfo
|
|
* @param dimension
|
|
* @param dimensionLength
|
|
*/
|
|
void NativeOpExecutioner::execBroadcast(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* tadOnlyShapeInfoZ,Nd4jLong const* tadOffsetsZ) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
|
|
return;
|
|
|
|
dim3 launchDims(256, 256, 1024);
|
|
|
|
#ifdef __ND4J_EXPERIMENTAL__
|
|
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::broadcast::Broadcast, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
#else
|
|
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::broadcast::Broadcast, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES);
|
|
#endif
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execBroadcast failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execBroadcast(sd::LaunchContext *lc, const int opNum,
|
|
const void *hX, const Nd4jLong *hXShapeInfo,
|
|
const void *dX, const Nd4jLong *dXShapeInfo,
|
|
const void *hY, const Nd4jLong *hYShapeInfo,
|
|
const void *dY, const Nd4jLong *dYShapeInfo,
|
|
void *hZ, const Nd4jLong *hZShapeInfo,
|
|
void *dZ, const Nd4jLong *dZShapeInfo) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
|
|
return;
|
|
|
|
dim3 launchDims;
|
|
|
|
launchDims.y = MAX_NUM_THREADS / 4; // threadsPerBlock
|
|
launchDims.x = (shape::length(hZShapeInfo) + launchDims.y - 1) / launchDims.y; // blocksPerGrid
|
|
launchDims.z = 1024; // shared memory
|
|
|
|
#ifdef __ND4J_EXPERIMENTAL__
|
|
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::broadcast::Broadcast, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
#else
|
|
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::broadcast::Broadcast, ::execBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo), LIBND4J_TYPES);
|
|
#endif
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execBroadcast failed", res);
|
|
}
|
|
|
|
void NativeOpExecutioner::execInverseBroadcast(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* tadOnlyShapeInfoZ,Nd4jLong const* tadOffsetsZ) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
|
|
return;
|
|
|
|
dim3 launchDims(256, 256, 1024);
|
|
|
|
#ifdef __ND4J_EXPERIMENTAL__
|
|
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::broadcast::Broadcast, ::execInverseBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
#else
|
|
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::broadcast::Broadcast, ::execInverseBroadcast(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES);
|
|
#endif
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execInverseBroadcast failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceSame(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("SF7 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (zType != xType)
|
|
throw datatype_exception::build("NativeOpExecutioner::execReduceSame requires both X & Z operands to have same type", xType, zType);
|
|
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, functions::reduce::ReduceSameFunction, ::execReduceXD(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, reductionPointer, dZ, dZShapeInfo, hZShapeInfo, dimension), LIBND4J_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceSame failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceLong(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension,int dimensionLength) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("LF7 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (zType != sd::DataType::INT64)
|
|
throw datatype_exception::build("NativeOpExecutioner::execReduceLong wrong Z data type", sd::DataType::INT64, zType);
|
|
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceLongFunction, ::execReduceXD(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, reductionPointer, dZ, dZShapeInfo, hZShapeInfo, dimension), LIBND4J_TYPES, LONG_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceLong failed", res);
|
|
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceBool(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("BF7 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (zType != sd::DataType::BOOL)
|
|
throw std::runtime_error("NativeOpExecutioner::execReduceBool requires Z operand to have BOOL type");
|
|
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceBoolFunction, ::execReduceXD(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, reductionPointer, dZ, dZShapeInfo, hZShapeInfo, dimension), LIBND4J_TYPES, BOOL_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceBool failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param dX
|
|
* @param dXShapeInfo
|
|
* @param extraParams
|
|
* @param dZ
|
|
* @param dZShapeInfo
|
|
*/
|
|
void NativeOpExecutioner::execReduceFloat(sd::LaunchContext *lc,
|
|
int opNum,
|
|
const void *hX, const Nd4jLong *hXShapeInfo,
|
|
const void *dX, const Nd4jLong *dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, const Nd4jLong *hZShapeInfo,
|
|
void *dZ, const Nd4jLong *dZShapeInfo,
|
|
int *dimension, int dimensionLength) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("F8 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, 256, 32768);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceFloatFunction, ::execReduceXD(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, reductionPointer, dZ, dZShapeInfo, hZShapeInfo, dimension), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceFloat failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param dX
|
|
* @param dXShapeInfo
|
|
* @param extraParams
|
|
* @param dZ
|
|
* @param dZShapeInfo
|
|
* @param dimension
|
|
* @param dimensionLength
|
|
*/
|
|
void NativeOpExecutioner::execIndexReduce(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("F2 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
auto tadLength = shape::length(hXShapeInfo) / numBlocks;
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, tadLength < CUDA_BLOCK_SIZE ? tadLength : CUDA_BLOCK_SIZE, 1024);
|
|
|
|
if (zType != sd::DataType::INT64 && zType != sd::DataType::INT32)
|
|
throw datatype_exception::build("NativeOpExecutioner::execIndexReduce requires Z operand to have INT32/INT64 type", zType);
|
|
|
|
auto dz = reinterpret_cast<Nd4jLong*>(dZ);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::indexreduce::IndexReduce, ::executeIndexReduce(launchDims, stream, opNum, dX, dXShapeInfo, shape::rank(hXShapeInfo), extraParams, dz, dZShapeInfo, shape::rank(hZShapeInfo), dimension, dimensionLength, 1, allocationPointer, reductionPointer, tadShapeInfo, tadOffsets), LIBND4J_TYPES, INDEXING_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execIndexReduce failed", res);
|
|
}
|
|
|
|
|
|
|
|
/**
|
|
*
|
|
* @param opNum
|
|
* @param dX
|
|
* @param dXShapeInfo
|
|
* @param extraParams
|
|
*/
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execIndexReduceScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo){
|
|
|
|
if (sd::Environment::getInstance().isDebug())
|
|
printf("F1 opNum:[%i]\n", opNum);
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
|
|
auto xLength = shape::length(hXShapeInfo);
|
|
auto blockWidth = 256;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose() && launchDims.x == 1)
|
|
printf("AF1 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
// FIXME: we want Z to be one of integer types
|
|
//if (!DataTypeUtils::isZ(zType))
|
|
// throw sd::datatype_exception("NativeOpExecutioner::execIndexReduceScalar requires Z operand to have one of integer types")
|
|
if (zType != sd::DataType::INT64 && zType != sd::DataType::INT32)
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execIndexReduceScalar requires Z operand to have INT32/INT64 data type", zType);
|
|
|
|
auto dz = reinterpret_cast<Nd4jLong*>(dZ);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::indexreduce::IndexReduce, ::executeIndexReduceScalar(launchDims, stream,
|
|
opNum,
|
|
dX, dXShapeInfo, shape::rank(hXShapeInfo),
|
|
extraParams,
|
|
dz, dZShapeInfo, 0,
|
|
nullptr, 0,
|
|
1,
|
|
allocationPointer, reductionPointer,
|
|
nullptr, nullptr), LIBND4J_TYPES, INDEXING_TYPES);
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execIndexReduceScalar failed", res);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceFloatScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
auto xLength = shape::length(hXShapeInfo);
|
|
auto blockWidth = 256;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceFloatFunction, ::execReduceScalar(launchDims, stream, opNum, dX,dXShapeInfo, hXShapeInfo, extraParams, dZ,dZShapeInfo, hZShapeInfo, nullptr, 0, reductionPointer, nullptr), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceFloatScalar failed", res);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceBoolScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (zType != sd::DataType::BOOL)
|
|
throw std::runtime_error("NativeOpExecutioner::execReduceBoolScalar requires Z operand to have BOOL type");
|
|
|
|
auto xLength = shape::length(hXShapeInfo);
|
|
auto blockWidth = CUDA_BLOCK_SIZE;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, blockWidth, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceBoolFunction, ::execReduceScalar(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, dZ, dZShapeInfo, hZShapeInfo, nullptr, 0, reductionPointer, nullptr), LIBND4J_TYPES, BOOL_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceBoolScalar failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceSameScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (zType != xType)
|
|
throw datatype_exception::build("NativeOpExecutioner::execReduceSameScalar requires both X & Z operands to have same type", xType, zType);
|
|
|
|
auto xLength = shape::length(hXShapeInfo);
|
|
auto blockWidth = CUDA_BLOCK_SIZE;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, blockWidth, 1024);
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, functions::reduce::ReduceSameFunction, ::execReduceScalar(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, dZ, dZShapeInfo, hZShapeInfo, nullptr, 0, reductionPointer, nullptr), LIBND4J_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceSameScalar failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduceLongScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (zType != sd::DataType::INT64)
|
|
throw datatype_exception::build("NativeOpExecutioner::execReduceLongScalar wrong Z data type", sd::DataType::INT64, zType);
|
|
|
|
auto xLength = shape::length(hXShapeInfo);
|
|
auto blockWidth = CUDA_BLOCK_SIZE;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, blockWidth, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceLongFunction, ::execReduceScalar(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, dZ, dZShapeInfo, hZShapeInfo, nullptr, 0, reductionPointer, nullptr), LIBND4J_TYPES, LONG_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduceLongScalar failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execTransformSame(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraParams,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xRank = shape::rank(hXShapeInfo);
|
|
auto zRank = shape::rank(hZShapeInfo);
|
|
auto xType = ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo)) {
|
|
return;
|
|
}
|
|
|
|
if (xType != zType) {
|
|
throw std::runtime_error("NativeOpExecutioner::execTransformSame requires X & Z to have same type");
|
|
}
|
|
|
|
dim3 launchDims(512, 512, 16384);
|
|
BUILD_SINGLE_SELECTOR(xType, functions::transform::TransformSame, ::executeTransformShaped(launchDims, stream, opNum, dX, dXShapeInfo, xRank, extraParams, dZ, dZShapeInfo, zRank, nullptr, nullptr, nullptr, nullptr), LIBND4J_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execTransformSame failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execTransformBool(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraParams,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xRank = shape::rank(hXShapeInfo);
|
|
auto zRank = shape::rank(hZShapeInfo);
|
|
auto xType = ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo)) {
|
|
return;
|
|
}
|
|
|
|
if (!DataTypeUtils::isB(zType)) {
|
|
throw std::runtime_error("NativeOpExecutioner::execTransformBool requires Z to have same boolean type");
|
|
}
|
|
|
|
dim3 launchDims(512, 512, 16384);
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::transform::TransformBool, ::executeTransformShaped(launchDims, stream, opNum, dX, dXShapeInfo, xRank, extraParams, dZ, dZShapeInfo, zRank, nullptr, nullptr, nullptr, nullptr), LIBND4J_TYPES, BOOL_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execTransformBool failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execTransformAny(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraParams,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets, bool allowParallelism) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xRank = shape::rank(hXShapeInfo);
|
|
auto zRank = shape::rank(hZShapeInfo);
|
|
auto xType = ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo))
|
|
return;
|
|
|
|
if (opNum == sd::transform::Assign && shape::order(hXShapeInfo) == shape::order(hZShapeInfo) && shape::order(hXShapeInfo) == 'c' && xType == zType && shape::elementWiseStride(hXShapeInfo) == 1 && shape::elementWiseStride(hZShapeInfo) == 1) {
|
|
cudaMemcpyAsync(dZ, dX, shape::length(hXShapeInfo) * sd::DataTypeUtils::sizeOfElement(xType), cudaMemcpyDeviceToDevice, *stream);
|
|
}
|
|
else {
|
|
|
|
dim3 launchDims(512, 512, 2048);
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::transform::TransformAny, ::executeTransformShaped(launchDims, stream, opNum, dX, dXShapeInfo, xRank, extraParams, dZ, dZShapeInfo, zRank, nullptr, nullptr, nullptr, nullptr), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
}
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execTransformAny failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execTransformStrict(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraParams,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xRank = shape::rank(hXShapeInfo);
|
|
auto zRank = shape::rank(hZShapeInfo);
|
|
auto xType = ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo)) {
|
|
return;
|
|
}
|
|
|
|
if (xType != zType || !DataTypeUtils::isR(xType)) {
|
|
throw datatype_exception::build("NativeOpExecutioner::execTransformStrict requires X & Z to have same floating point type", xType, zType);
|
|
}
|
|
|
|
dim3 launchDims(512, 512, 16384);
|
|
BUILD_SINGLE_SELECTOR(xType, functions::transform::TransformStrict, ::executeTransformShaped(launchDims, stream, opNum, dX, dXShapeInfo, xRank, extraParams, dZ, dZShapeInfo, zRank, nullptr, nullptr, nullptr, nullptr), FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execTransformStrict failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execTransformFloat(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraParams,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
auto xRank = shape::rank(hXShapeInfo);
|
|
auto zRank = shape::rank(hZShapeInfo);
|
|
auto xType = ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo))
|
|
return;
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw datatype_exception::build("NativeOpExecutioner::execTransformFloat requires Z to have floating point type", zType);
|
|
|
|
dim3 launchDims(512, 512, 2048);
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::transform::TransformFloat, ::executeTransformShaped(launchDims, stream, opNum, dX, dXShapeInfo, xRank, extraParams, dZ, dZShapeInfo, zRank, nullptr, nullptr, nullptr, nullptr), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execTransformFloat failed", res);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execSummaryStats(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
bool biasCorrected) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
dim3 launchDims = dim3(256, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execSummaryStats requires Z operand to have floating point data type", zType);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::summarystats::SummaryStatsReduce, ::execSummaryStatsReduce(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, dZ, dZShapeInfo, hZShapeInfo, nullptr, nullptr, biasCorrected, reductionPointer), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execSummaryStats A failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execSummaryStats(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
|
|
bool biasCorrected) {
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
dim3 launchDims = dim3(256, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execSummaryStats requires Z operand to have floating point data type", zType);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::summarystats::SummaryStatsReduce, ::execSummaryStatsReduce(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, extraParams, dZ, dZShapeInfo, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, biasCorrected, reductionPointer), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execSummaryStats B failed", res);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduce3(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
auto blockWidth = CUDA_BLOCK_SIZE;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(shape::length(hXShapeInfo), blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, blockWidth, 1024);
|
|
|
|
if (xType != yType)
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3 requires Y operand to have X type", xType, yType);
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3 requires Z operand to have floating point data type", zType);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::execScalar(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, extraParams, dZ, dZShapeInfo, allocationPointer, reductionPointer, nullptr), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduce3 failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduce3(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadOnlyShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* yTadOnlyShapeInfo, Nd4jLong const* yTadOffsets) {
|
|
|
|
if(shape::isScalar(hZShapeInfo)) {
|
|
NativeOpExecutioner::execReduce3(lc, opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParams, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo);
|
|
return;
|
|
}
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (xType != yType)
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3 requires Y operand to have X type", xType, yType);
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3 requires Z operand to have floating point data type", zType);
|
|
|
|
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::exec(launchDims, stream, opNum,
|
|
dX, dXShapeInfo,
|
|
dY, dYShapeInfo,
|
|
extraParams,
|
|
dZ, dZShapeInfo,
|
|
dimension, dimensionLength,
|
|
1,
|
|
allocationPointer,
|
|
tadOnlyShapeInfo, tadOffsets,
|
|
yTadOnlyShapeInfo, yTadOffsets), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduce3 B failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduce3Scalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo) {
|
|
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
auto xLength = shape::length(hXShapeInfo);
|
|
auto blockWidth = CUDA_BLOCK_SIZE;
|
|
auto numBlocks = CudaLaunchHelper::getReductionBlocks(xLength, blockWidth);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, blockWidth, 1024);
|
|
|
|
if (xType != yType)
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3Scalar requires Y operand to have X type", xType, yType);
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3Scalar requires Z operand to have floating point data type", zType);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::execScalar(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, extraParams, dZ, dZShapeInfo, allocationPointer, reductionPointer, nullptr), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduce3Scalar failed", res);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execScalarBool(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void const* hScalar, Nd4jLong const* hScalarShapeInfo,
|
|
void const* dScalar, Nd4jLong const* dScalarShapeInfo,
|
|
void *extraParams, bool allowParallelism) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
dim3 launchDims = dim3(256, 512, 8192);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
|
|
return;
|
|
|
|
if (xType != yType )
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarBool requires X & Y to have same type");
|
|
|
|
if (!DataTypeUtils::isB(zType) )
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarBool requires Z operand to have BOOL type");
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::scalar::ScalarBoolTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, dZ, dZShapeInfo, dScalar, extraParams), LIBND4J_TYPES, BOOL_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execScalarBool failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execScalarBool(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void const* hScalars, Nd4jLong const* hScalarShapeInfo,
|
|
void const* dScalars, Nd4jLong const* dScalarShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
dim3 launchDims(256, 512, 8192);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
|
|
return;
|
|
|
|
if (xType != yType )
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarBool requires X & Y to have same type");
|
|
|
|
if (!DataTypeUtils::isB(zType) )
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarBool requires Z operand to have BOOL type");
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::scalar::ScalarBoolTransform, ::executeCudaAlongDimension(launchDims, stream, opNum, dX, dXShapeInfo, dZ, dZShapeInfo, dScalars, extraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, BOOL_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execScalarBool B failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execScalarInt(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void const* hScalar, Nd4jLong const* hScalarShapeInfo,
|
|
void const* dScalar, Nd4jLong const* dScalarShapeInfo,
|
|
void *extraParams, bool allowParallelism) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
dim3 launchDims = dim3(256, 512, 8192);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
|
|
return;
|
|
|
|
if (xType != yType || zType != xType)
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarInt requires X & Y to have same type");
|
|
|
|
if (!DataTypeUtils::isZ(zType) )
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarInt requires Z operand to have INT type");
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, functions::scalar::ScalarIntTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, dZ, dZShapeInfo, dScalar, extraParams), INTEGER_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execScalarInt failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execScalarInt(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void const* hScalars, Nd4jLong const* hScalarShapeInfo,
|
|
void const* dScalars, Nd4jLong const* dScalarShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
dim3 launchDims(256, 512, 8192);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
|
|
return;
|
|
|
|
if (xType != yType || zType != xType)
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarInt requires X & Y to have same type");
|
|
|
|
if (!DataTypeUtils::isZ(zType) )
|
|
throw std::runtime_error("NativeOpExecutioner::execScalarInt requires Z operand to have INT type");
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, functions::scalar::ScalarIntTransform, ::executeCudaAlongDimension(launchDims, stream, opNum, dX, dXShapeInfo, dZ, dZShapeInfo, dScalars, extraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), INTEGER_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execScalarInt B failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void* hZ, Nd4jLong const* hZShapeInfo,
|
|
void* dZ, Nd4jLong const* dZShapeInfo,
|
|
void const* hScalar, Nd4jLong const* hScalarShapeInfo,
|
|
void const* dScalar, Nd4jLong const* dScalarShapeInfo,
|
|
void *extraParams, bool allowParallelism) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
dim3 launchDims(256, 512, 8192);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
|
|
return;
|
|
|
|
|
|
#ifdef __ND4J_EXPERIMENTAL__
|
|
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::scalar::ScalarTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, dZ, dZShapeInfo, hZShapeInfo, dScalar, extraParams), LIBND4J_TYPES, LIBND4J_TYPES);
|
|
#else
|
|
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::scalar::ScalarTransform, ::executeCudaShaped(launchDims, stream, opNum, dX, dXShapeInfo, hXShapeInfo, dZ, dZShapeInfo, hZShapeInfo, dScalar, extraParams), LIBND4J_TYPES);
|
|
#endif
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execScalar failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execScalar(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void const* hScalars, Nd4jLong const* hScalarShapeInfo,
|
|
void const* dScalars, Nd4jLong const* dScalarShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* tadShapeInfoZ, Nd4jLong const* tadOffsetsZ) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
|
|
return;
|
|
|
|
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, dX, dXShapeInfo, dZ, dZShapeInfo, dScalars, extraParams, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES);
|
|
#endif
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execScalar B failed", res);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execRandom(sd::LaunchContext *lc,
|
|
int opNum,
|
|
Nd4jPointer stateHost,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraArguments) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto sizeOf = sizeof(sd::graph::RandomGenerator);
|
|
Nd4jPointer stateDevice;
|
|
|
|
cudaError_t res = cudaMalloc(reinterpret_cast<void **>(&stateDevice), sizeOf);
|
|
checkCudaErrors(cudaStreamSynchronize(*stream));
|
|
checkCudaErrors(cudaMemcpyAsync(stateDevice, stateHost, sizeOf, cudaMemcpyHostToDevice, *stream));
|
|
|
|
dim3 launchDims = dim3(512, 512, 32768);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
auto rng = reinterpret_cast<sd::graph::RandomGenerator*>(stateHost);
|
|
|
|
// functions::random::RandomFunction<float>::executeCudaSingle(launchDims, extraPointers, opNum, stateHost, dZ, dZShapeInfo, extraArguments),
|
|
BUILD_SINGLE_SELECTOR(zType, functions::random::RandomFunction, ::executeCudaSingle(launchDims, stream, opNum, stateDevice, dZ, dZShapeInfo, extraArguments), FLOAT_TYPES);
|
|
|
|
res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execRandom X failed", res);
|
|
|
|
cudaFree(stateDevice);
|
|
|
|
rng->rewindH(shape::length(hZShapeInfo));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execRandom(sd::LaunchContext *lc,
|
|
int opNum,
|
|
Nd4jPointer stateHost,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraArguments) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
|
|
auto sizeOf = sizeof(sd::graph::RandomGenerator);
|
|
Nd4jPointer stateDevice;
|
|
|
|
cudaError_t res = cudaMalloc(reinterpret_cast<void **>(&stateDevice), sizeOf);
|
|
checkCudaErrors(cudaStreamSynchronize(*stream));
|
|
checkCudaErrors(cudaMemcpyAsync(stateDevice, stateHost, sizeOf, cudaMemcpyHostToDevice, *stream));
|
|
|
|
auto rng = reinterpret_cast<sd::graph::RandomGenerator*>(stateHost);
|
|
|
|
dim3 launchDims = dim3(512, 512, 32768);
|
|
auto xType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
// functions::random::RandomFunction<float>::executeCudaDouble(launchDims, extraPointers, opNum, stateHost, dX, dXShapeInfo, dZ, dZShapeInfo, extraArguments);
|
|
BUILD_SINGLE_SELECTOR(xType, functions::random::RandomFunction, ::executeCudaDouble(launchDims, stream, opNum, stateDevice, dX, dXShapeInfo, dZ, dZShapeInfo, extraArguments), FLOAT_TYPES);
|
|
|
|
res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execRandom XY failed", res);
|
|
|
|
cudaFree(stateDevice);
|
|
|
|
rng->rewindH(shape::length(hZShapeInfo));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execRandom(sd::LaunchContext *lc,
|
|
int opNum,
|
|
Nd4jPointer stateHost,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
void *extraArguments) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto sizeOf = sizeof(sd::graph::RandomGenerator);
|
|
Nd4jPointer stateDevice;
|
|
|
|
cudaError_t res = cudaMalloc(reinterpret_cast<void **>(&stateDevice), sizeOf);
|
|
checkCudaErrors(cudaStreamSynchronize(*stream));
|
|
checkCudaErrors(cudaMemcpyAsync(stateDevice, stateHost, sizeOf, cudaMemcpyHostToDevice, *stream));
|
|
|
|
auto rng = reinterpret_cast<sd::graph::RandomGenerator*>(stateHost);
|
|
|
|
dim3 launchDims = dim3(512, 512, 32768);
|
|
auto xType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
// functions::random::RandomFunction<float>::executeCudaTriple(launchDims, extraPointers, opNum, stateHost, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraArguments);
|
|
BUILD_SINGLE_SELECTOR(xType, functions::random::RandomFunction, ::executeCudaTriple(launchDims, stream, opNum, stateDevice, dX, dXShapeInfo, dY, dYShapeInfo, dZ, dZShapeInfo, extraArguments), FLOAT_TYPES);
|
|
|
|
res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execRandom XYZ failed", res);
|
|
|
|
cudaFree(stateDevice);
|
|
|
|
rng->rewindH(shape::length(hZShapeInfo));
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduce3All(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParamsVals,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* xTadShapeInfo, Nd4jLong const* xOffsets,
|
|
Nd4jLong const* yTadShapeInfo, Nd4jLong const* yOffsets) {
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
auto reductionPointer = lc->getReductionPointer();
|
|
|
|
if (sd::Environment::getInstance().isDebugAndVerbose())
|
|
printf("D119 opNum:[%i]\n", opNum);
|
|
|
|
dim3 launchDims(shape::length(hZShapeInfo), CUDA_BLOCK_SIZE / 2, 1024);
|
|
|
|
if (sd::Environment::getInstance().isVerbose() && launchDims.x == 1)
|
|
printf("AD119 opNum:[%i]\n", opNum);
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (yType != xType)
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3All both operands must have same data type", xType, yType);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::execAll(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, extraParamsVals, dZ, dZShapeInfo, dimension, dimensionLength, 1, allocationPointer, xTadShapeInfo, xOffsets, yTadShapeInfo, yOffsets), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduce3All failed", res);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
void NativeOpExecutioner::execReduce3TAD(sd::LaunchContext *lc,
|
|
int opNum,
|
|
void const* hX, Nd4jLong const* hXShapeInfo,
|
|
void const* dX, Nd4jLong const* dXShapeInfo,
|
|
void *extraParams,
|
|
void const* hY, Nd4jLong const* hYShapeInfo,
|
|
void const* dY, Nd4jLong const* dYShapeInfo,
|
|
void *hZ, Nd4jLong const* hZShapeInfo,
|
|
void *dZ, Nd4jLong const* dZShapeInfo,
|
|
int *dimension, int dimensionLength,
|
|
Nd4jLong const* tadShapeInfo, Nd4jLong const* tadOffsets,
|
|
Nd4jLong const* yTadShapeInfo, Nd4jLong const* yTadOffsets) {
|
|
|
|
if(shape::isScalar(hZShapeInfo)) {
|
|
NativeOpExecutioner::execReduce3(lc, opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParams, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo);
|
|
return;
|
|
}
|
|
|
|
auto stream = lc->getCudaStream();
|
|
auto allocationPointer = lc->getAllocationPointer();
|
|
|
|
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
|
|
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
|
|
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
|
|
|
|
if (xType != yType)
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3TAD requires Y operand to have X type", xType, yType);
|
|
|
|
if (!DataTypeUtils::isR(zType))
|
|
throw sd::datatype_exception::build("NativeOpExecutioner::execReduce3TAD requires Z operand to have floating point data type", zType);
|
|
|
|
auto numBlocks = shape::length(hZShapeInfo);
|
|
dim3 launchDims(numBlocks == 0 ? 1 : numBlocks, CUDA_BLOCK_SIZE, 1024);
|
|
|
|
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::exec(launchDims, stream, opNum, dX, dXShapeInfo, dY, dYShapeInfo, extraParams, dZ, dZShapeInfo, dimension, dimensionLength, 1, allocationPointer, tadShapeInfo, tadOffsets, yTadShapeInfo, yTadOffsets), LIBND4J_TYPES, FLOAT_TYPES);
|
|
|
|
// TODO: remove after the release
|
|
auto res = cudaStreamSynchronize(*stream);
|
|
if (res != 0)
|
|
throw cuda_exception::build("execReduce3TAD failed", res);
|
|
}
|
|
|