101 lines
3.6 KiB
C++
101 lines
3.6 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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/*
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* transform.h
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*
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* Created on: Dec 28, 2015
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* @author: agibsonccc
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* @author: raver119@gmail.com
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*/
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#ifndef TRANSFORM_BOOL_H_
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#define TRANSFORM_BOOL_H_
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#include <vector>
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#include <math/templatemath.h>
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#include <ops/ops.h>
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#ifdef _OPENMP
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#include <omp.h>
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#endif
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#include <system/pairwise_util.h>
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#include <system/dll.h>
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//#include <loops/reduce.h>
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//#include <loops/scalar.h>
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//#include <loops/indexreduce.h>
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//#include <loops/broadcasting.h>
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#ifdef __CUDACC__
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#include <cuda.h>
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#include <cuda_runtime.h>
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#endif
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#include "legacy_ops.h"
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namespace functions {
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namespace transform {
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template<typename X, typename Z>
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class TransformBool {
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public:
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#ifdef __CUDACC__
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template<typename OpType>
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static __device__ void transformCuda(const void *dy, const Nd4jLong *shapeInfo,
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void *params,
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void *result, const Nd4jLong *resultShapeInfo,
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int *allocationPointer, void *reductionPointer,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets);
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template <typename OpType>
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static _CUDA_H void intermediateShaped(dim3 launchDims, cudaStream_t *stream,
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const void *x, const Nd4jLong *xShape, int xRank,
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void *extraParams,
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void *z, const Nd4jLong *zShape, int zRank,
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int *allocationPointer, void *reductionPointer,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets);
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static _CUDA_H void executeTransformShaped(dim3 launchDims, cudaStream_t *stream,
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int opNum,
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const void *x, const Nd4jLong *xShape, int xRank,
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void *extraParams,
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void *z, const Nd4jLong *zShape, int zRank,
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int *allocationPointer, void *reductionPointer,
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const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets);
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#else
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static void exec(int opNum,
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const void *dx, const Nd4jLong *xShapeInfo,
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void *result, const Nd4jLong *resultShapeInfo,
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void *extraParams,
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uint64_t threadId, uint64_t numThreads);
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template<typename OpType>
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static ND4J_EXPORT void exec(const void *dx, const Nd4jLong *xShapeInfo,
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void *result, const Nd4jLong *resultShapeInfo,
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void *extraParams,
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uint64_t threadId, uint64_t numThreads);
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#endif
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};
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}
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}
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#endif /* TRANSFORM_H_ */
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