81 lines
4.1 KiB
Plaintext
81 lines
4.1 KiB
Plaintext
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/*******************************************************************************
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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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// Created by george on 05.04.18.
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//
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#include <ops/declarable/helpers/dynamic.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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template <typename T>
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static void _dynamicPartitionFunctor(NDArray const* input, NDArray const* indices, std::vector<NDArray*>& outputList) {
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}
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template <typename T>
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static int _dynamicStitchFunctor(std::vector<NDArray*> const& inputs, std::vector<NDArray*> const& indices, NDArray* output){
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return Status::OK();
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}
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template <typename T>
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static void _dynamicPartitionFunctorBP(NDArray const* input, NDArray const* indices, std::vector<NDArray*> const& inputGradientList, std::vector<NDArray*>& outputList) {
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}
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void dynamicPartitionFunctor(nd4j::LaunchContext * context, NDArray const* input, NDArray const* indices, std::vector<NDArray*>& outputList) {
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auto xType = input->dataType();
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BUILD_SINGLE_SELECTOR(xType, _dynamicPartitionFunctor, (input, indices, outputList), LIBND4J_TYPES);
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}
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template <typename T>
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static int _dynamicStitchFunctorBP(std::vector<NDArray*> const& inputs, std::vector<NDArray*> const& indices, NDArray const* gradInput, std::vector<NDArray*>& outputList){
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throw std::runtime_error("Not umplemented yet");
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}
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int dynamicStitchFunctor(nd4j::LaunchContext * context, std::vector<NDArray*> const& inputs, std::vector<NDArray*> const& indices, NDArray* output){
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auto xType = inputs.at(0)->dataType();
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BUILD_SINGLE_SELECTOR(xType, return _dynamicStitchFunctor, (inputs, indices, output), LIBND4J_TYPES);
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}
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int dynamicStitchFunctorBP(nd4j::LaunchContext * context, std::vector<NDArray*> const& inputs, std::vector<NDArray*> const& indices, NDArray const* gradInput, std::vector<NDArray*>& outputList) {
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auto xType = inputs.at(0)->dataType();
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BUILD_SINGLE_SELECTOR(xType, return _dynamicStitchFunctorBP, (inputs, indices, gradInput, outputList), LIBND4J_TYPES);
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}
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void dynamicPartitionFunctorBP(nd4j::LaunchContext * context, NDArray const* input, NDArray const* indices, std::vector<NDArray*> const& inputGradientList, std::vector<NDArray*>& outputList) {
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auto xType = input->dataType();
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BUILD_SINGLE_SELECTOR(xType, _dynamicPartitionFunctorBP, (input, indices, inputGradientList, outputList), LIBND4J_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template void _dynamicPartitionFunctorBP, (NDArray const* input, NDArray const* indices, std::vector<NDArray*> const& inputGradientList, std::vector<NDArray*>& outputList);, LIBND4J_TYPES);
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BUILD_SINGLE_TEMPLATE(template int _dynamicStitchFunctorBP, (std::vector<NDArray*> const& inputs, std::vector<NDArray*> const& indices, NDArray const* gradInput, std::vector<NDArray*>& outputList);, LIBND4J_TYPES);
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BUILD_SINGLE_TEMPLATE(template void _dynamicPartitionFunctor, (NDArray const* input, NDArray const* indices, std::vector<NDArray*>& outputList);, LIBND4J_TYPES);
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BUILD_SINGLE_TEMPLATE(template int _dynamicStitchFunctor, (std::vector<NDArray*> const& inputs, std::vector<NDArray*> const& indices, NDArray* output);, LIBND4J_TYPES);
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}
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}
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}
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