cavis/libnd4j/include/ops/declarable/generic/boolean/choose.cpp

99 lines
3.4 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
******************************************************************************/
//
// @author Adam Gibson
//
#include <op_boilerplate.h>
#if NOT_EXCLUDED(OP_choose)
#include <helpers/ShapeUtils.h>
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/choose.h>
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(choose, -1, 2, false, -2, -1) {
int mode = INT_ARG(0);
auto result = OUTPUT_VARIABLE(0);
auto numResults = OUTPUT_VARIABLE(1);
if (block.width() > 1) {
auto arg = INPUT_VARIABLE(0);
auto comp = INPUT_VARIABLE(1);
helpers::chooseFunctorArray(block.launchContext(), arg, comp, mode, result, numResults);
}//scalar case
else {
double scalar = T_ARG(0);
auto arg = INPUT_VARIABLE(0);
helpers::chooseFunctorScalar(block.launchContext(), arg, scalar, mode, result, numResults);
}
return Status::OK();
}
DECLARE_TYPES(choose) {
getOpDescriptor()
->setAllowedInputTypes(0, {ALL_FLOATS})
->setAllowedInputTypes(1, {ALL_FLOATS})
->setAllowedOutputTypes(0, {ALL_FLOATS})
->setAllowedOutputTypes(1, {ALL_INTS});
}
DECLARE_SHAPE_FN(choose) {
Nd4jLong *shape;
int rank;
int mode = INT_ARG(0);
auto numResults = NDArrayFactory::create<Nd4jLong>(0L);
if(block.width() > 1) {
auto first = INPUT_VARIABLE(0);
auto second = INPUT_VARIABLE(1);
if(first->lengthOf() > second->lengthOf()) {
shape = first->getShapeInfo();
rank = first->rankOf();
}
else {
shape = second->getShapeInfo();
rank = second->rankOf();
}
helpers::chooseFunctorArray(block.launchContext(), first, second, mode, nullptr, &numResults);
}
else {
auto first = INPUT_VARIABLE(0);
shape = first->getShapeInfo();
rank = first->rankOf();
double scalar = T_ARG(0);
helpers::chooseFunctorScalar(block.launchContext(), first, scalar, mode, nullptr, &numResults);
}
auto newShape = ConstantShapeHelper::getInstance()->vectorShapeInfo(numResults.e<Nd4jLong>(0), ArrayOptions::dataType(inputShape->at(0)));
auto shapeScalar = ConstantShapeHelper::getInstance()->scalarShapeInfo(nd4j::DataType::INT64);
return SHAPELIST(newShape, shapeScalar);
}
}
}
#endif