text: /*******************************************************************************
   * 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_STRICT_H_
  #define TRANSFORM_STRICT_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>
          class TransformStrict {
          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_ */
  