wehub-resource-sync
115 lines
5.6 KiB
C++
115 lines
5.6 KiB
C++
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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 Yurii Shyrma (iuriish@yahoo.com), created on 20.04.2018
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//
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#ifndef LIBND4J_TRANSFORMS_H
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#define LIBND4J_TRANSFORMS_H
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#include <graph/Context.h>
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#include <graph/RandomGenerator.h>
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#include <helpers/helper_random.h>
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#include <ops/declarable/helpers/helpers.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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SD_LIB_HIDDEN void triuBP(LaunchContext* context, NDArray& input, NDArray& gradO, NDArray& gradI,
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const int diagonal);
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SD_LIB_HIDDEN void trace(LaunchContext* context, NDArray& input, NDArray& output);
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SD_LIB_HIDDEN void randomShuffle(LaunchContext* context, NDArray& input, NDArray& output, graph::RandomGenerator& rng, const bool isInplace);
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// auxiliary function which serves for recursion purpose and is used in pad operation
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// void recursiveLoopForPad(const int mode, NDArray& input, NDArray& paddings, NDArray& output, std::vector<int>
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// dimensions, int dim, int inIdx, int outIdx, NDArray& padValue);
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SD_LIB_HIDDEN void pad(LaunchContext* context, const int mode, NDArray& input, NDArray& paddings,
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NDArray& output, NDArray& padValue);
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SD_LIB_HIDDEN void invertPermutation(LaunchContext* context, NDArray& input, NDArray& output);
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SD_LIB_HIDDEN void gatherND(LaunchContext* context, NDArray& input, NDArray& indices, NDArray& output);
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SD_LIB_HIDDEN void gather(LaunchContext* context, NDArray* input, NDArray* indices, NDArray* output,
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const std::vector<int>& intArgs);
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SD_LIB_HIDDEN void eye(LaunchContext* context, NDArray& output);
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SD_LIB_HIDDEN void scatterUpdate(LaunchContext* context, NDArray& operand, NDArray& updates,
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const std::vector<LongType>* intArgs);
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SD_LIB_HIDDEN void scatterSimple(LaunchContext* context, const int opId, NDArray& input, NDArray& updates,
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NDArray& indices, const std::vector<LongType>& dimensions);
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SD_LIB_HIDDEN void mergeMaxIndex(LaunchContext* context, const std::vector<NDArray*>& inArrs,
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NDArray& output);
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SD_LIB_HIDDEN void mergeMax(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output);
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SD_LIB_HIDDEN void mergeMaxBp(LaunchContext* context, const std::vector<NDArray*>& inArrs,
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std::vector<NDArray*>& outArrs);
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SD_LIB_HIDDEN void mergeAvg(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output);
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SD_LIB_HIDDEN void mergeAvgBp(LaunchContext* context, NDArray& gradient, std::vector<NDArray*>& outArrs);
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SD_LIB_HIDDEN void mergeAdd(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output);
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SD_LIB_HIDDEN void mergeAddBp(LaunchContext* context, NDArray& gradient, std::vector<NDArray*>& outArrs);
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SD_LIB_HIDDEN void clipByNorm(LaunchContext* context, NDArray* input, NDArray* output,
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const std::vector<LongType>& dimensions, NDArray* clipNorm, const bool isInplace,
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const bool useAverage);
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SD_LIB_HIDDEN void clipByGlobalNorm(LaunchContext* context, std::vector<NDArray*> & inputs, double clipNorm,
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memory::Workspace* workspace, std::vector<NDArray*>& outputs, bool isInplace);
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SD_LIB_HIDDEN void clipByNormBp(LaunchContext* context, NDArray* input, NDArray* gradO,
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NDArray* gradI /*output*/, const std::vector<LongType>& dimensions, NDArray* clipNorm,
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const bool useAverage);
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SD_LIB_HIDDEN void clipByAveragedNorm(LaunchContext* context, NDArray& input, NDArray& output,
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const std::vector<LongType>& dimensions, NDArray& clipNorm,
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const bool isInplace);
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SD_LIB_HIDDEN void mirrorPad(LaunchContext* context, NDArray& input, NDArray& paddings, NDArray& output,
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const int mode);
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SD_LIB_HIDDEN void clipByValue(LaunchContext* context, NDArray* input, double leftBound, double rightBound,
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NDArray* output);
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SD_LIB_HIDDEN void mirrorPad(LaunchContext* context, NDArray& input, NDArray& paddings, NDArray& output,
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const int mode);
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SD_LIB_HIDDEN void concat(LaunchContext* context, const std::vector<NDArray*>& inArrs, NDArray& output,
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const int axis);
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SD_LIB_HIDDEN void tileBP(LaunchContext* context, NDArray gradO /*input*/, NDArray& gradI /*output*/,
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const std::vector<LongType> reps);
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SD_LIB_HIDDEN void split(LaunchContext* context, NDArray& input, std::vector<NDArray*>& outArrs,
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const LongType axis);
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SD_LIB_HIDDEN void compareAndBitpack(graph::Context& block, NDArray& input, NDArray& threshold,
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NDArray& output);
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} // namespace helpers
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} // namespace ops
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} // namespace sd
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#endif // LIBND4J_TRANSFORMS_H
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