131 lines
5.4 KiB
C++
Executable File
131 lines
5.4 KiB
C++
Executable File
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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 <system/dll.h>
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#include <ops/ops.h>
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#include <system/op_boilerplate.h>
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#include <helpers/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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#include <helpers/TAD.h>
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#include "system/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 X, typename Z>
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class IndexReduce {
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public:
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#ifdef __CUDABLAS__
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static __device__ void transform(int opNum,
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const void *x, const Nd4jLong *xShapeInfo,
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void *extraParams,
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void *result, const Nd4jLong *resultShapeInfo,
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int *dimension,int dimensionLength,
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int postProcessOrNot,
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int *allocationBuffer, void *reductionBuffer,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffset);
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template<typename OpType>
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static __device__ void aggregatePartials(IndexValue<X> *sPartialsRef, Nd4jLong tid, Nd4jLong numElements, void *extraParams);
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template<typename OpType>
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static __device__ void transform(const void *dx, const Nd4jLong *xShapeInfo,
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void *extraParams,
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void *result, const Nd4jLong *resultShapeInfo,
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int *dimension, int dimensionLength,
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int postProcessOrNot,
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int *allocationBuffer, void *reductionBuffer,
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const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets);
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static _CUDA_H void executeIndexReduceScalar(dim3 launchDims, cudaStream_t *stream,
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int op,
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const void *dx, const Nd4jLong *xShapeInfo,
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int xRank,
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void *extraParams,
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void *result, const Nd4jLong *resultShapeInfo,
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int zRank,
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int *dimension, int dimensionLength,
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int postProcessOrNot,
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int *allocationBuffer, void *reductionBuffer,
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const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets);
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static _CUDA_H void executeIndexReduce(dim3 launchDims, cudaStream_t *stream,
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int op,
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const void *dx, const Nd4jLong *xShapeInfo,
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int xRank,
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void *extraParams,
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void *result, const Nd4jLong *resultShapeInfo,
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int zRank,
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int *dimension, int dimensionLength,
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int postProcessOrNot,
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int *allocationBuffer, void *reductionBuffer,
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const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets);
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#else
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static Nd4jLong execScalar(int opNum, const void *x, const Nd4jLong *xShapeInfo, void *extraParams);
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static void exec(int opNum,
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const void *x, const Nd4jLong *xShapeInfo,
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void *extraParams,
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void *result, const Nd4jLong *resultShapeInfoBuffer,
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int *dimension, int dimensionLength,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffset);
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template<typename OpType>
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static _CUDA_H Nd4jLong execScalar(const void *x, const Nd4jLong *xShapeInfo, void *extraParams);
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template<typename OpType>
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static _CUDA_H void exec(const void *x, const Nd4jLong *xShapeInfo,
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void *extraParams,
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void *result, const Nd4jLong *resultShapeInfoBuffer,
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int *dimension, int dimensionLength,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffset);
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#endif
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};
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}
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}
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#endif /* INDEXREDUCE_H_ */
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