81 lines
2.8 KiB
C++
81 lines
2.8 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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// Created by raver119 on 12.10.2017.
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_tear)
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#include <ops/declarable/CustomOperations.h>
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#include <TAD.h>
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#include <helpers/ConstantTadHelper.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(tear, 1, -1, false, 0, -1) {
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auto input = INPUT_VARIABLE(0);
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REQUIRE_TRUE(!block.getIArguments()->empty(), 0, "At least 1 dimension should be specified for Tear");
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std::vector<int> dims(*block.getIArguments());
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for (auto &v: dims)
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REQUIRE_TRUE(v >= 0 && v < input->rankOf(), 0, "Tear dimensions should be non-negative values, and lower then input rank. Got %i instead", v);
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auto tads = input->allTensorsAlongDimension(dims);
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for (int e = 0; e < tads->size(); e++) {
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auto outE = OUTPUT_VARIABLE(e);
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outE->assign(tads->at(e));
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// just for debugging purposes
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this->storeResult(block, e, *outE);
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}
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delete tads;
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return Status::OK();
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}
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DECLARE_SHAPE_FN(tear) {
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auto inShape = inputShape->at(0);
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std::vector<int> dims(*block.getIArguments());
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if (dims.size() > 1)
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std::sort(dims.begin(), dims.end());
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auto tadPack = nd4j::ConstantTadHelper::getInstance()->tadForDimensions(inShape, dims);
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auto numTads = tadPack.numberOfTads();
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auto result = SHAPELIST();
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for (int e = 0; e < numTads; e++) {
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auto newShape = ConstantShapeHelper::getInstance()->createShapeInfo(block.dataType(), shape::order(inShape), shape::rank(tadPack.primaryShapeInfo()), shape::shapeOf(tadPack.primaryShapeInfo()));
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result->push_back(newShape);
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}
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return result;
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}
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DECLARE_TYPES(tear) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setSameMode(true);
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}
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}
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}
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#endif |