wehub-resource-sync
87 lines
2.9 KiB
C++
87 lines
2.9 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 07.06.2018
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//
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#include <system/op_boilerplate.h>
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#if NOT_EXCLUDED(OP_mirror_pad)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/transforms.h>
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namespace sd {
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namespace ops {
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CUSTOM_OP_IMPL(mirror_pad, 2, 1, false, 0, 1) {
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auto input = INPUT_VARIABLE(0);
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auto paddings = INPUT_VARIABLE(1);
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auto output = OUTPUT_VARIABLE(0);
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const int mode = INT_ARG(0); // 0 - REFLECT, else - SYMMETRIC
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const int includeBorder = mode ? 0 : 1;
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helpers::mirrorPad(block.launchContext(), *input, *paddings, *output, mode);
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return sd::Status::OK;
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}
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DECLARE_TYPES(mirror_pad) {
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getOpDescriptor()->setAllowedInputTypes(0, {ALL_FLOATS});
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getOpDescriptor()->setAllowedInputTypes(1, {DataType::INT32, DataType::INT64}); // to conform with TF
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getOpDescriptor()->setAllowedOutputTypes(0, {ALL_FLOATS});
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}
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DECLARE_SHAPE_FN(mirror_pad) {
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auto input = INPUT_VARIABLE(0);
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auto paddings = INPUT_VARIABLE(1);
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const int includeBorder = static_cast<bool>(INT_ARG(0)) ? 0 : 1;
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if (input->isScalar()) {
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sd::LongType len = input->isScalar() ? 1 + paddings->e<sd::LongType>(0) + paddings->e<sd::LongType>(1) : input->lengthOf() + paddings->e<sd::LongType>(0) + paddings->e<sd::LongType>(1);
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return SHAPELIST(ConstantShapeHelper::getInstance().vectorShapeInfo(len, input->dataType()));
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}
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sd::LongType* outShapeInfo(nullptr);
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int rank = input->rankOf();
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ALLOCATE(outShapeInfo, block.getWorkspace(), shape::shapeInfoLength(rank), sd::LongType);
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outShapeInfo[0] = rank;
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if(paddings->isVector()) {
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for (int i = 0; i < rank; ++i) {
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outShapeInfo[i + 1] = input->sizeAt(i) + paddings->e<sd::LongType>(0) + paddings->e<sd::LongType>(1);
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}
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} else {
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for (int i = 0; i < rank; ++i) {
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outShapeInfo[i + 1] = input->sizeAt(i) + paddings->e<sd::LongType>(i, 0) + paddings->e<sd::LongType>(i, 1);
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}
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}
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ShapeUtils::updateStridesAndType(outShapeInfo, input->shapeInfo(), input->ordering());
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return SHAPELIST(CONSTANT(outShapeInfo));
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}
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} // namespace ops
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} // namespace sd
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#endif
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