90 lines
3.6 KiB
C++
Executable File
90 lines
3.6 KiB
C++
Executable File
/*******************************************************************************
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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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/*
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*
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* Created on: Dec 28, 2015
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* Author: agibsonccc
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*/
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#ifndef INDEXREDUCE_H_
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#define INDEXREDUCE_H_
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#include "../helpers/shape.h"
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#ifdef _OPENMP
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#include <omp.h>
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#endif
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#include <dll.h>
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#include <ops/ops.h>
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#include <op_boilerplate.h>
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#include <OmpLaunchHelper.h>
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#include <helpers/DebugHelper.h>
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#ifdef __CUDACC__
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#include <cuda.h>
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#include <cuda_runtime.h>
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#endif
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#ifndef _OPENMP
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#define omp_get_thread_num() 0
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#define omp_get_max_threads() 1
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#endif
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#include <helpers/TAD.h>
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#include "../pairwise_util.h"
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#include "legacy_ops.h"
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namespace functions {
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namespace indexreduce {
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template<typename T>
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class IndexReduce {
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public:
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#ifdef __CUDACC__
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static __device__ void transform(const int opNum, void *x, Nd4jLong *xShapeInfo, void *extraParams, Nd4jLong *result, Nd4jLong *resultShapeInfo, int *dimension,int dimensionLength, int postProcessOrNot, int *allocationBuffer, void *reductionBuffer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffset);
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template<typename OpType>
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static __device__ void aggregatePartials(IndexValue<T> **sPartialsRef, Nd4jLong tid, Nd4jLong numElements,void *extraParams);
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template<typename OpType>
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static __device__ void transform(void *dx, Nd4jLong *xShapeInfo, void *extraParams, Nd4jLong *result, Nd4jLong *resultShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationBuffer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets);
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static _CUDA_H void executeIndexReduceScalar(dim3 launchDims, cudaStream_t *stream, const int op, void *dx, Nd4jLong *xShapeInfo, int xRank, void *extraParams, Nd4jLong *result, Nd4jLong *resultShapeInfo, int zRank, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationBuffer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets);
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static _CUDA_H void executeIndexReduce(dim3 launchDims, cudaStream_t *stream, const int op, void *dx, Nd4jLong *xShapeInfo, int xRank, void *extraParams, Nd4jLong *result, Nd4jLong *resultShapeInfo, int zRank, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationBuffer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets);
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#endif
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static Nd4jLong execScalar(const int opNum, void *x, Nd4jLong *xShapeInfo, void *extraParams);
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static void exec(const int opNum, void *x, Nd4jLong *xShapeInfo, void *extraParams, Nd4jLong *result, Nd4jLong *resultShapeInfoBuffer, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffset);
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template<typename OpType>
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static _CUDA_H Nd4jLong execScalar(void *x, Nd4jLong *xShapeInfo, void *extraParams);
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template<typename OpType>
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static _CUDA_H void exec(void *x, Nd4jLong *xShapeInfo, void *extraParams, Nd4jLong *result, Nd4jLong *resultShapeInfoBuffer, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffset);
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};
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}
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}
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#endif /* INDEXREDUCE_H_ */
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