cavis/libnd4j/include/ops/declarable/generic/parity_ops/qr.cpp

90 lines
4.3 KiB
C++

/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* 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 GS <sgazeos@gmail.com> at 12/20/2019
//
#include <op_boilerplate.h>
#include <ops/declarable/CustomOperations.h>
#include <ops/declarable/helpers/qr.h>
#if NOT_EXCLUDED(OP_qr)
namespace nd4j {
namespace ops {
CUSTOM_OP_IMPL(qr, 1, 2, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto outputQ = OUTPUT_VARIABLE(0);
auto outputR = OUTPUT_VARIABLE(1);
auto fullMatricies = false;
if (block.getBArguments()->size())
fullMatricies = B_ARG(0);
REQUIRE_TRUE(input->rankOf() >=2, 0, "qr: The rank of input array should not be less than 2, but %i is given", input->rankOf());
REQUIRE_TRUE((fullMatricies && outputQ->sizeAt(-1) == input->sizeAt(-2)) || (!fullMatricies && outputQ->isSameShape(input)), 0, "qr: The last dimmensions should be equal to result Q, but %i and %i are given", outputQ->sizeAt(-1), input->sizeAt(-2));
REQUIRE_TRUE((fullMatricies && outputR->sizeAt(-1) == input->sizeAt(-1)) || (!fullMatricies && outputR->sizeAt(-1) == outputR->sizeAt(-2)), 0, "qr: The last dimmensions should be equal to result R, but %i and %i are given", outputR->sizeAt(-1), input->sizeAt(-1));
if (!input->isEmpty() && !outputQ->isEmpty() && !outputR->isEmpty())
helpers::qr(block.launchContext(), input, outputQ, outputR, fullMatricies);
return Status::OK();
}
DECLARE_SHAPE_FN(qr) {
auto inShape = inputShape->at(0);
Nd4jLong* shapeQ;
Nd4jLong* shapeR;
int targetRank = shape::rank(inShape); // last two dimensions will be reduced to scalar
auto fullMatricies = false;
if (block.getBArguments()->size())
fullMatricies = B_ARG(0);
auto shape = ShapeUtils::shapeAsVector(inShape);
if (!fullMatricies) { // outputs are: Q is MxN and R is NxN
shape[targetRank - 1] = shape::sizeAt(inShape, -1);
shape[targetRank - 2] = shape[targetRank - 1];
shapeQ = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
shape::order(inShape), targetRank,
shape::shapeOf(inShape));
shapeR = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
shape::order(inShape), shape);
}
else {// otherwise outputs are Q is MxM and R is MxN with zero filled rows
shape[targetRank - 1] = shape::sizeAt(inShape, -2);
shape[targetRank - 2] = shape[targetRank - 1];
shapeR = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
shape::order(inShape), targetRank,
shape::shapeOf(inShape));
shapeQ = ConstantShapeHelper::getInstance()->createShapeInfo(ArrayOptions::dataType(inShape),
shape::order(inShape), shape);
}
return SHAPELIST(shapeQ, shapeR);
}
DECLARE_TYPES(qr) {
getOpDescriptor()
->setAllowedInputTypes({ALL_FLOATS})
->setAllowedOutputTypes({ALL_FLOATS});
}
}
}
#endif