103 lines
3.7 KiB
C++
103 lines
3.7 KiB
C++
/* ******************************************************************************
|
|
*
|
|
*
|
|
* 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
|
|
******************************************************************************/
|
|
|
|
/*
|
|
* transform.h
|
|
*
|
|
* Created on: Dec 28, 2015
|
|
* @author: agibsonccc
|
|
* @author: raver119@gmail.com
|
|
*/
|
|
|
|
#ifndef TRANSFORM_BOOL_H_
|
|
#define TRANSFORM_BOOL_H_
|
|
#include <vector>
|
|
#include <math/templatemath.h>
|
|
#include <ops/ops.h>
|
|
|
|
#ifdef _OPENMP
|
|
#include <omp.h>
|
|
#endif
|
|
#include <system/pairwise_util.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, typename Z>
|
|
class TransformBool {
|
|
public:
|
|
|
|
#ifdef __CUDACC__
|
|
|
|
template<typename OpType>
|
|
static __device__ void transformCuda(const void *dy, const Nd4jLong *shapeInfo,
|
|
void *params,
|
|
void *result, const Nd4jLong *resultShapeInfo,
|
|
int *allocationPointer, void *reductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets);
|
|
|
|
template <typename OpType>
|
|
static _CUDA_H void intermediateShaped(dim3 launchDims, cudaStream_t *stream,
|
|
const void *x, const Nd4jLong *xShape, int xRank,
|
|
void *extraParams,
|
|
void *z, const Nd4jLong *zShape, int zRank,
|
|
int *allocationPointer, void *reductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets);
|
|
|
|
static _CUDA_H void executeTransformShaped(dim3 launchDims, cudaStream_t *stream,
|
|
int opNum,
|
|
const void *x, const Nd4jLong *xShape, int xRank,
|
|
void *extraParams,
|
|
void *z, const Nd4jLong *zShape, int zRank,
|
|
int *allocationPointer, void *reductionPointer,
|
|
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets);
|
|
|
|
#else
|
|
static void exec(int opNum,
|
|
const void *dx, const Nd4jLong *xShapeInfo,
|
|
void *result, const Nd4jLong *resultShapeInfo,
|
|
void *extraParams,
|
|
uint64_t threadId, uint64_t numThreads);
|
|
|
|
template<typename OpType>
|
|
static ND4J_EXPORT void exec(const void *dx, const Nd4jLong *xShapeInfo,
|
|
void *result, const Nd4jLong *resultShapeInfo,
|
|
void *extraParams,
|
|
uint64_t threadId, uint64_t numThreads);
|
|
#endif
|
|
};
|
|
}
|
|
}
|
|
|
|
|
|
#endif /* TRANSFORM_H_ */
|