cavis/libnd4j/include/loops/indexreduce.h

129 lines
5.3 KiB
C++
Executable File

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
/*
*
* Created on: Dec 28, 2015
* Author: agibsonccc
*/
#ifndef INDEXREDUCE_H_
#define INDEXREDUCE_H_
#include "../helpers/shape.h"
#ifdef _OPENMP
#include <omp.h>
#endif
#include <system/dll.h>
#include <ops/ops.h>
#include <system/op_boilerplate.h>
#include <helpers/OmpLaunchHelper.h>
#include <helpers/DebugHelper.h>
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime.h>
#endif
#include <helpers/TAD.h>
#include "system/pairwise_util.h"
#include "legacy_ops.h"
namespace functions {
namespace indexreduce {
template<typename X, typename Z>
class IndexReduce {
public:
#ifdef __CUDABLAS__
static __device__ void transform(int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *extraParams,
void *result, const Nd4jLong *resultShapeInfo,
int *dimension,int dimensionLength,
int postProcessOrNot,
int *allocationBuffer, void *reductionBuffer,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffset);
template<typename OpType>
static __device__ void aggregatePartials(IndexValue<X> **sPartialsRef, Nd4jLong tid, Nd4jLong numElements, void *extraParams);
template<typename OpType>
static __device__ void transform(const void *dx, const Nd4jLong *xShapeInfo,
void *extraParams,
void *result, const Nd4jLong *resultShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationBuffer, void *reductionBuffer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets);
static _CUDA_H void executeIndexReduceScalar(dim3 launchDims, cudaStream_t *stream,
int op,
const void *dx, const Nd4jLong *xShapeInfo,
int xRank,
void *extraParams,
void *result, const Nd4jLong *resultShapeInfo,
int zRank,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationBuffer, void *reductionBuffer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets);
static _CUDA_H void executeIndexReduce(dim3 launchDims, cudaStream_t *stream,
int op,
const void *dx, const Nd4jLong *xShapeInfo,
int xRank,
void *extraParams,
void *result, const Nd4jLong *resultShapeInfo,
int zRank,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationBuffer, void *reductionBuffer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets);
#else
static Nd4jLong execScalar(int opNum, const void *x, const Nd4jLong *xShapeInfo, void *extraParams);
static void exec(int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *extraParams,
void *result, const Nd4jLong *resultShapeInfoBuffer,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffset);
template<typename OpType>
static _CUDA_H Nd4jLong execScalar(const void *x, const Nd4jLong *xShapeInfo, void *extraParams);
template<typename OpType>
static _CUDA_H void exec(const void *x, const Nd4jLong *xShapeInfo,
void *extraParams,
void *result, const Nd4jLong *resultShapeInfoBuffer,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffset);
#endif
};
}
}
#endif /* INDEXREDUCE_H_ */