58 lines
2.2 KiB
C++
58 lines
2.2 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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#include <ops/declarable/helpers/flatten.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 flatten_(std::vector<NDArray*> &inputs, NDArray *output, const char order) {
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int numArrays = inputs.size();
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std::vector<Nd4jLong> offsets(numArrays);
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Nd4jLong cOffset = 0;
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// calculating offsets in output
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for (int e = 0; e < numArrays; e++) {
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offsets[e] = cOffset;
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cOffset += inputs[e]->lengthOf();
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}
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// actually transferring data
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for (int e = 0; e < numArrays; e++) {
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auto z = reinterpret_cast<T *>(output->bufferWithOffset(offsets[e]));
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auto xBuffer = inputs[e]->bufferAsT<T>();
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auto xShapeInfo = inputs[e]->shapeInfo();
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auto xLength = inputs[e]->lengthOf();
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for (uint i = 0; i < xLength; i++)
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z[i] = xBuffer[getIndexOffsetOrdered(i, xShapeInfo, order)];
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}
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}
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void flatten(nd4j::LaunchContext *context, std::vector<NDArray*> &inputs, NDArray *output, char order) {
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BUILD_SINGLE_SELECTOR(output->dataType(), flatten_, (inputs, output, order), LIBND4J_TYPES);
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}
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}
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}
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} |