156 lines
7.1 KiB
C++
Executable File
156 lines
7.1 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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* reduce3.h
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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 REDUCE3_H_
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#define REDUCE3_H_
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#define EXTRA_PARAMS_LENGTH 10
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#include <math/templatemath.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/pairwise_util.h>
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#include <system/dll.h>
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#include <helpers/shape.h>
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#include <helpers/TAD.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 "legacy_ops.h"
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using namespace simdOps;
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namespace functions {
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namespace reduce3 {
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/**
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* Reduce involving
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* 2 arrays
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*/
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template<typename X, typename Y>
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class Reduce3 {
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public:
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#ifdef __CUDACC__
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virtual __device__
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inline Y opAtomic(X d1, X d2, Y *extraParamsRef) = 0;
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/**
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* Aggregate shared memory
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* @param sPartialsRef
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* @param tid
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* @param extraParams
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*/
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template<typename OpType>
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static __device__ void aggregatePartials(void* sPartials, Nd4jLong tid, Nd4jLong numItems, void *extraParams);
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template<typename OpType>
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static __device__ void execScalarCuda(void *x, Nd4jLong *xShapeInfo, void *y, Nd4jLong *yShapeInfo, void *extraParams, void *z, Nd4jLong *zShapeInfo, int *allocationPointer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
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template<typename OpType>
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static __device__ void transformAll(void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationPointer, Nd4jLong *xTadShapeInfo, Nd4jLong *xOffsets, Nd4jLong *yTadShapeInfo, Nd4jLong *yOffsets);
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/**
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Perform a reduction
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@param n the number of elements
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@param xOffset the starting offset
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@param dx the data to perform the reduction on
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@param incx the increment on which to perform the reduction
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@param extraParams extra parameters used for calculations
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@param result where to store the result of the reduction
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*/
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template<typename OpType>
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static __device__ void transform(void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationPointer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets);
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static __device__ void execCuda(const int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationPointer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets);
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static __device__ void execAllCuda( const int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationPointer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets);
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static __device__ void execScalarCuda(const int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int * allocationPointer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
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static __host__ void exec(dim3 launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationPointer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets);
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static __host__ void execAll(dim3 launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int postProcessOrNot, int *allocationPointer, Nd4jLong *tadOnlyShapeInfo, Nd4jLong *tadOffsets, Nd4jLong *yTadOnlyShapeInfo, Nd4jLong *yTadOffsets);
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static __host__ void execScalar(dim3 launchDims, cudaStream_t *stream, int opNum, void *vx, Nd4jLong *xShapeInfo, void *vy, Nd4jLong *yShapeInfo, void *extraParams, void *vz, Nd4jLong *zShapeInfo, int* allocationPointer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
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#else
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template<typename OpType>
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static void execScalar(void *vx, Nd4jLong *xShapeInfo, void *vextraParams, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo);
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static void execScalar(const int opNum, void *x, Nd4jLong *xShapeInfo, void *extraParamsVals, void *y, Nd4jLong *yShapeInfo, void *z, Nd4jLong *zShapeInfo);
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template<typename OpType>
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static void exec(void *vx, Nd4jLong *xShapeInfo, void *vextraParams, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int64_t start, int64_t stop);
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template<typename OpType>
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static void exec(void *vx, Nd4jLong *xShapeInfo, void *vextraParams, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, int64_t start, int64_t stop);
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template<typename OpType>
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static void execAll(void *vx, Nd4jLong *xShapeInfo, void *vextraParams, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *xTadShapeInfo, Nd4jLong *xOffsets, Nd4jLong *yTadShapeInfo, Nd4jLong *yOffsets, int64_t start, int64_t stop);
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static void exec(const int opNum, void *vx, Nd4jLong *xShapeInfo, void *extraParamsVals, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, int64_t start, int64_t stop);
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static void exec(const int opNum, void *vx, Nd4jLong *xShapeInfo, void *extraParamsVals, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, int64_t start, int64_t stop);
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static void execAll(const int opNum, void *vx, Nd4jLong *xShapeInfo, void *extraParamsVals, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo, int *dimension, int dimensionLength, Nd4jLong *xTadShapeInfo, Nd4jLong *xOffsets, Nd4jLong *yTadShapeInfo, Nd4jLong *yOffsets, int64_t start, int64_t stop);
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#endif
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};
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}
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}
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#ifdef __CUDACC__
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#endif
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#endif /* REDUCE3_H_ */
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