cavis/libnd4j/include/loops/reduce3.h

156 lines
7.1 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
******************************************************************************/
/*
* reduce3.h
*
* Created on: Dec 28, 2015
* Author: agibsonccc
*/
#ifndef REDUCE3_H_
#define REDUCE3_H_
#define EXTRA_PARAMS_LENGTH 10
#include <templatemath.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include <pairwise_util.h>
#include <dll.h>
#include <helpers/shape.h>
#include <helpers/TAD.h>
#include <ops/ops.h>
#include <op_boilerplate.h>
#include <OmpLaunchHelper.h>
#include <helpers/DebugHelper.h>
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime.h>
#endif
#include "legacy_ops.h"
using namespace simdOps;
namespace functions {
namespace reduce3 {
/**
* Reduce involving
* 2 arrays
*/
template<typename X, typename Y>
class Reduce3 {
public:
#ifdef __CUDACC__
virtual __device__
inline Y opAtomic(X d1, X d2, Y *extraParamsRef) = 0;
/**
* Aggregate shared memory
* @param sPartialsRef
* @param tid
* @param extraParams
*/
template<typename OpType>
static __device__ void aggregatePartials(void* sPartials, Nd4jLong tid, Nd4jLong numItems, void *extraParams);
template<typename OpType>
static __device__ void execScalarCuda(void *x, Nd4jLong *xShapeInfo, void *y, Nd4jLong *yShapeInfo, void *extraParams, void *z, Nd4jLong *zShapeInfo, int *allocationPointer, void *reductionBuffer, Nd4jLong *tadOnlyShapeInfo);
template<typename OpType>
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);
/**
Perform a reduction
@param n the number of elements
@param xOffset the starting offset
@param dx the data to perform the reduction on
@param incx the increment on which to perform the reduction
@param extraParams extra parameters used for calculations
@param result where to store the result of the reduction
*/
template<typename OpType>
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);
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);
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);
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);
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);
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);
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);
#else
template<typename OpType>
static void execScalar(void *vx, Nd4jLong *xShapeInfo, void *vextraParams, void *vy, Nd4jLong *yShapeInfo, void *vz, Nd4jLong *zShapeInfo);
static void execScalar(const int opNum, void *x, Nd4jLong *xShapeInfo, void *extraParamsVals, void *y, Nd4jLong *yShapeInfo, void *z, Nd4jLong *zShapeInfo);
template<typename OpType>
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);
template<typename OpType>
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);
template<typename OpType>
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);
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);
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);
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);
#endif
};
}
}
#ifdef __CUDACC__
#endif
#endif /* REDUCE3_H_ */