43 lines
1.5 KiB
C++
43 lines
1.5 KiB
C++
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/*******************************************************************************
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* Copyright (c) 2019-2020 Konduit K.K.
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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 Oleh Semeniv (oleg.semeniv@gmail.com)
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//
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#include <ops/declarable/helpers/transforms.h>
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#include <ops/specials.h>
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namespace nd4j {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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template<typename T>
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static void split_(const NDArray& input, const std::vector<NDArray*>& outArrs, const int axis) {
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nd4j::SpecialMethods<T>::splitCpuGeneric(input, outArrs, axis);
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}
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void split(nd4j::LaunchContext* context, const NDArray& input, std::vector<NDArray*>& outArrs, const int axis) {
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BUILD_SINGLE_SELECTOR(input.dataType(), split_, (input, outArrs, axis), LIBND4J_TYPES);
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}
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BUILD_SINGLE_TEMPLATE(template void split_, (const NDArray& input, const std::vector<NDArray*>& outArrs, const int axis), LIBND4J_TYPES);
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}
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}
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}
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