/* ******************************************************************************
*
*
* 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.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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 <math/templatemath.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include <system/pairwise_util.h>
#include <system/dll.h>
#include <helpers/shape.h>
#include <helpers/TAD.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 "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(const void *x, const Nd4jLong *xShapeInfo,
const void *y, const Nd4jLong *yShapeInfo,
void *extraParams,
void *z, const Nd4jLong *zShapeInfo,
int *allocationPointer, void *reductionBuffer,
const Nd4jLong *tadOnlyShapeInfo);
template<typename OpType>
static __device__ void transformAll(const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationPointer,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xOffsets,
const Nd4jLong *yTadShapeInfo, const 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(const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationPointer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *yTadOnlyShapeInfo, const Nd4jLong *yTadOffsets);
static __device__ void execCuda(int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationPointer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *yTadOnlyShapeInfo, const Nd4jLong *yTadOffsets);
static __device__ void execAllCuda(int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationPointer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *yTadOnlyShapeInfo, const Nd4jLong *yTadOffsets);
static __device__ void execScalarCuda(int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int * allocationPointer, void *reductionBuffer,
const Nd4jLong *tadOnlyShapeInfo);
static __host__ void exec(dim3 launchDims, cudaStream_t *stream,
int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationPointer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *yTadOnlyShapeInfo, const Nd4jLong *yTadOffsets);
static __host__ void execAll(dim3 launchDims, cudaStream_t *stream,
int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int postProcessOrNot,
int *allocationPointer,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *yTadOnlyShapeInfo, const Nd4jLong *yTadOffsets);
static __host__ void execScalar(dim3 launchDims, cudaStream_t *stream,
int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
const void *vy, const Nd4jLong *yShapeInfo,
void *extraParams,
void *vz, const Nd4jLong *zShapeInfo,
int* allocationPointer, void *reductionBuffer,
const Nd4jLong *tadOnlyShapeInfo);
#else
template<typename OpType>
static void execScalar(const void *vx, const Nd4jLong *xShapeInfo,
void *vextraParams,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo);
static void execScalar(int opNum,
const void *x, const Nd4jLong *xShapeInfo,
void *extraParamsVals,
const void *y, const Nd4jLong *yShapeInfo,
void *z, const Nd4jLong *zShapeInfo);
template<typename OpType>
static void exec(const void *vx, const Nd4jLong *xShapeInfo,
void *vextraParams,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int64_t start, int64_t stop);
template<typename OpType>
static void exec(const void *vx, const Nd4jLong *xShapeInfo,
void *vextraParams,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
int64_t start, int64_t stop);
template<typename OpType>
static void execAll(const void *vx, const Nd4jLong *xShapeInfo,
void *vextraParams,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xOffsets,
const Nd4jLong *yTadShapeInfo, const Nd4jLong *yOffsets,
int64_t start, int64_t stop);
static void exec(int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
void *extraParamsVals,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
int64_t start, int64_t stop);
static void exec(int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
void *extraParamsVals,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
int64_t start, int64_t stop);
static void execAll(int opNum,
const void *vx, const Nd4jLong *xShapeInfo,
void *extraParamsVals,
const void *vy, const Nd4jLong *yShapeInfo,
void *vz, const Nd4jLong *zShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xOffsets,
const Nd4jLong *yTadShapeInfo, const Nd4jLong *yOffsets,
int64_t start, int64_t stop);
#endif
};
}
}
#ifdef __CUDACC__
#endif
#endif /* REDUCE3_H_ */