76 lines
3.4 KiB
C++
76 lines
3.4 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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// @author raver119@gmail.com
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//
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#ifndef LIBND4J_RANDOM_H
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#define LIBND4J_RANDOM_H
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#include <helpers/shape.h>
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#include <helpers/helper_random.h>
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#include <ops/random_ops.h>
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#include <ops/special_random_ops.h>
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#include <loops/legacy_ops.h>
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namespace functions {
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namespace random {
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template<typename X>
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class RandomFunction {
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public:
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#ifdef __CUDACC__
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template<typename OpClass>
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static _CUDA_D void execTransformCuda(Nd4jPointer state, void *x, Nd4jLong *xShapeBuffer, void *y, Nd4jLong *yShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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template<typename OpClass>
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static _CUDA_D void execTransformCuda(Nd4jPointer state, void *x, Nd4jLong *xShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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template<typename OpClass>
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static _CUDA_D void execTransformCuda(Nd4jPointer state, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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static _CUDA_H void executeCudaSingle(dim3& launchDims, cudaStream_t* stream, int opNum, Nd4jPointer stateHost, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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static _CUDA_H void executeCudaDouble(dim3& launchDims, cudaStream_t* stream, int opNum, Nd4jPointer stateHost, void *x, Nd4jLong *xShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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static _CUDA_H void executeCudaTriple(dim3& launchDims, cudaStream_t* stream, int opNum, Nd4jPointer stateHost, void *x, Nd4jLong *xShapeBuffer, void *y, Nd4jLong *yShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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#else
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template<typename OpClass>
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static void execTransform(Nd4jPointer state, void *x, Nd4jLong *xShapeBuffer, void *y, Nd4jLong *yShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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template<typename OpClass>
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static void execTransform(Nd4jPointer state, void *x, Nd4jLong *xShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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template<typename OpClass>
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static void execTransform(Nd4jPointer state, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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static void execTransform(int opNum, Nd4jPointer state, void *x, Nd4jLong *xShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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static void execTransform(int opNum, Nd4jPointer state, void *x, Nd4jLong *xShapeBuffer, void *y, Nd4jLong *yShapeBuffer, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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static void execTransform(int opNum, Nd4jPointer state, void *z, Nd4jLong *zShapeBuffer, void *extraArguments);
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#endif
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};
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}
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}
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#endif //LIBND4J_RANDOM_H
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