cavis/libnd4j/include/loops/transform_any.h

/*******************************************************************************
 * 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_ANY_H_
#define TRANSFORM_ANY_H_
#include <vector>
#include <templatemath.h>
#include <ops/ops.h>
#include <ops/special_ops.h>
#ifdef _OPENMP
#include <omp.h>
#endif
#include <pairwise_util.h>
#include <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

#ifndef _OPENMP
#define omp_get_thread_num() 0
#define omp_get_max_threads() 1
#endif

#include "legacy_ops.h"


namespace functions {
namespace transform {

template<typename X, typename Z>
class TransformAny {
	public:

#ifdef __CUDACC__

		template<typename OpType>
		static  __device__ void transformCuda(void *vx, Nd4jLong *xShapeInfo, void *params, void *vz, Nd4jLong *zShapeInfo, 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);

#endif

		static void exec(int opNum, void *dx, Nd4jLong *xShapeInfo, void *vz, Nd4jLong *zShapeInfo, void *extraParams, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, bool allowParallelism);

		template<typename OpType>
		static ND4J_EXPORT void exec(void *dx, Nd4jLong *xShapeInfo, void *vz, Nd4jLong *zShapeInfo, void *extraParams, Nd4jLong *tadShapeInfo, Nd4jLong *tadOffsets, bool allowParallelism);
};

}
}


#endif /* TRANSFORM_H_ */