cavis/libnd4j/include/ops/declarable/impl/BroadcastableOp.cpp

86 lines
4.3 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://www.apache.org/licenses/LICENSE-2.0.
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
* License for the specific language governing permissions and limitations
* under the License.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// Created by raver on 6/6/2018.
//
#include <op_boilerplate.h>
#include <pointercast.h>
#include <ops/declarable/BroadcastableOp.h>
#include <helpers/ShapeUtils.h>
namespace nd4j {
namespace ops {
BroadcastableOp::BroadcastableOp(const char *name, int numTArgs, int numIArgs) : DeclarableCustomOp::DeclarableCustomOp(2, 1, name, false, numTArgs, numIArgs) {
//
}
ShapeList *BroadcastableOp::calculateOutputShape(ShapeList *inputShape, nd4j::graph::Context &block) {
auto shapeList = SHAPELIST();
auto x = inputShape->at(0);
auto y = inputShape->at(1);
auto outputs = _descriptor->getOutputTypesForOutput(0);
nd4j::DataType dtype = block.dataType(0);
if (block.dataType(0) != nd4j::DataType::BOOL && !(outputs.size() == 1 && outputs[0] == nd4j::DataType::BOOL)) {
if (Environment::getInstance()->isExperimentalBuild()) {
if (shape::length(y) > shape::length(x)) {
dtype = DataTypeUtils::pickPairwiseResultType(y, x);
} else {
dtype = DataTypeUtils::pickPairwiseResultType(x, y);
}
} else {
dtype = ArrayOptions::dataType(x);
}
} else
dtype = nd4j::DataType::BOOL;
if(shape::isEmpty(x) || shape::isEmpty(y)) {
// this is edge case, [3, 4] + [] = []
if ((shape::isEmpty(x) && shape::rank(x) == 0) || (shape::isEmpty(y) && shape::rank(y) == 0)) {
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor::emptyDescriptor(dtype)));
return shapeList;
}
Nd4jLong *newshape = nullptr;
ShapeUtils::evalBroadcastShapeInfo(x, y, true, newshape, block.workspace());
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newshape, dtype)));
} else if (shape::isScalar(x) && shape::isScalar(y)) {
if (shape::rank(x) >= shape::rank(y)) {
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
} else {
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(y, dtype)));
}
} else if (shape::equalsSoft(x, y)) {
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
} else if (shape::isScalar(x) && !shape::isScalar(y)) {
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(y, dtype)));
} else if (!shape::isScalar(x) && shape::isScalar(y)) {
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
} else if (ShapeUtils::areShapesBroadcastable(x, y)) {
Nd4jLong *newshape = nullptr;
ShapeUtils::evalBroadcastShapeInfo(x, y, true, newshape, block.workspace());
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newshape, dtype)));
} else {
// in this case we'll throw exception later
shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
}
return shapeList;
}
}
}