cavis/libnd4j/include/loops/transform_same.h

90 lines
2.7 KiB
C++

/*******************************************************************************
* 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
******************************************************************************/
/*
* transform.h
*
* Created on: Dec 28, 2015
* @author: agibsonccc
* @author: raver119@gmail.com
*/
#ifndef TRANSFORM_SAME_H_
#define TRANSFORM_SAME_H_
#include <vector>
#include <math/templatemath.h>
#include <ops/ops.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include <helpers/OmpLaunchHelper.h>
#include <system/dll.h>
//#include <loops/reduce.h>
//#include <loops/scalar.h>
//#include <loops/indexreduce.h>
//#include <loops/broadcasting.h>
#ifdef __CUDACC__
#include <cuda.h>
#include <cuda_runtime.h>
#endif
#include "legacy_ops.h"
namespace functions {
namespace transform {
template<typename X>
class TransformSame {
public:
#ifdef __CUDACC__
template<typename OpType>
static __device__ void transformCuda(
void *dy,
Nd4jLong *shapeInfo,
void *params,
void *result,
Nd4jLong *resultShapeInfo,
int *allocationPointer,
void *reductionPointer,
Nd4jLong *tadShapeInfo,
Nd4jLong *tadOffsets);
template <typename OpType>
static _CUDA_H void intermediateShaped(dim3 launchDims, cudaStream_t *stream, void *x, Nd4jLong *xShape, int xRank, void *extraParams, void *z, Nd4jLong *zShape, int zRank, int *allocationPointer, void *reductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets);
static _CUDA_H void executeTransformShaped(dim3 launchDims, cudaStream_t *stream, int opNum, void *x, Nd4jLong *xShape, int xRank, void *extraParams, void *z, Nd4jLong *zShape, int zRank, int *allocationPointer, void *reductionPointer, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets);
#else
static void exec(int opNum, void *dx, Nd4jLong *xShapeInfo, void *result, Nd4jLong *resultShapeInfo, void *extraParams, uint64_t threadId, uint64_t numThreads);
template<typename OpType>
static ND4J_EXPORT void exec(void *dx, Nd4jLong *xShapeInfo, void *result, Nd4jLong *resultShapeInfo, void *extraParams, uint64_t threadId, uint64_t numThreads);
#endif
};
}
}
#endif /* TRANSFORM_H_ */