90 lines
4.3 KiB
C++
90 lines
4.3 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 raver on 6/6/2018.
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//
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#include <op_boilerplate.h>
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#include <pointercast.h>
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#include <ops/declarable/BroadcastableOp.h>
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#include <helpers/ShapeUtils.h>
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namespace nd4j {
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namespace ops {
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BroadcastableOp::BroadcastableOp(const char *name, int numTArgs, int numIArgs) : DeclarableCustomOp::DeclarableCustomOp(2, 1, name, false, numTArgs, numIArgs) {
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//
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}
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BroadcastableOp::~BroadcastableOp() {
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// no-op
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}
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ShapeList *BroadcastableOp::calculateOutputShape(ShapeList *inputShape, nd4j::graph::Context &block) {
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auto shapeList = SHAPELIST();
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auto x = inputShape->at(0);
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auto y = inputShape->at(1);
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auto outputs = _descriptor->getOutputTypesForOutput(0);
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nd4j::DataType dtype = block.dataType(0);
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if (block.dataType(0) != nd4j::DataType::BOOL && !(outputs.size() == 1 && outputs[0] == nd4j::DataType::BOOL)) {
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if (Environment::getInstance()->isExperimentalBuild()) {
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if (shape::length(y) > shape::length(x)) {
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dtype = DataTypeUtils::pickPairwiseResultType(y, x);
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} else {
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dtype = DataTypeUtils::pickPairwiseResultType(x, y);
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}
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} else {
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dtype = ArrayOptions::dataType(x);
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}
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} else
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dtype = nd4j::DataType::BOOL;
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if(shape::isEmpty(x) || shape::isEmpty(y)) {
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// this is edge case, [3, 4] + [] = []
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if ((shape::isEmpty(x) && shape::rank(x) == 0) || (shape::isEmpty(y) && shape::rank(y) == 0)) {
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor::emptyDescriptor(dtype)));
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return shapeList;
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}
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Nd4jLong *newshape = nullptr;
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ShapeUtils::evalBroadcastShapeInfo(x, y, true, newshape, block.workspace());
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newshape, dtype)));
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} else if (shape::isScalar(x) && shape::isScalar(y)) {
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if (shape::rank(x) >= shape::rank(y)) {
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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} else {
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(y, dtype)));
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}
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} else if (shape::equalsSoft(x, y)) {
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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} else if (shape::isScalar(x) && !shape::isScalar(y)) {
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(y, dtype)));
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} else if (!shape::isScalar(x) && shape::isScalar(y)) {
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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} else if (ShapeUtils::areShapesBroadcastable(x, y)) {
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Nd4jLong *newshape = nullptr;
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ShapeUtils::evalBroadcastShapeInfo(x, y, true, newshape, block.workspace());
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newshape, dtype)));
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} else {
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// in this case we'll throw exception later
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shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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}
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return shapeList;
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}
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}
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} |