/* ******************************************************************************
 *
 *
 * 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_ANY_H_
#define TRANSFORM_ANY_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 TransformAny {
	public:

#ifdef __CUDACC__

		template<typename OpType>
		static  __device__ void transformCuda(const void *vx, const Nd4jLong *xShapeInfo,
                                              void *params,
                                              void *vz, const Nd4jLong *zShapeInfo,
                                              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 *vz, const Nd4jLong *zShapeInfo,
                         void *extraParams,
                         uint64_t threadId, uint64_t numThreads);

		template<typename OpType>
		static ND4J_EXPORT void exec(const void *dx, const Nd4jLong *xShapeInfo,
		                             void *vz, const Nd4jLong *zShapeInfo,
		                             void *extraParams,
		                             uint64_t threadId, uint64_t numThreads);
#endif
};

}
}


#endif /* TRANSFORM_H_ */