67d8199165
* Added infrastructure for implementation op lu for both cuda and cpu platforms. * Added implementation of helpers with lu op. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored LU decomposition to use vector of permutations instead. * Refactored helpers for lu op. * Fixed crash with determinant op. * Refactored cpu LU op heleper. * Added implementation for lu op. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed issue with argmax on column. * Added multithreaded behaviour for lu op helper. * Fixed multithreaded cpu implementation helpers for lu op. * Added cuda implementation for lu op helper. * Finished lu helper implementation for cuda platform. * Eliminated waste prints and comments. * Fixed race condition and multithreading issues. * Fixed memory leak with shape construction. * Corrected test for lu op to avoid near zero elements on the main diagonal." Signed-off-by: shugeo <sgazeos@gmail.com> * Improved test for adjust_constast op. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed issues with cuda implementation of resize_bicubic helpers. Signed-off-by: shugeo <sgazeos@gmail.com>
59 lines
2.4 KiB
C++
59 lines
2.4 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 GS <sgazeos@gmail.com> at 12/10/2019
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//
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#include <op_boilerplate.h>
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#if NOT_EXCLUDED(OP_matrix_inverse)
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#include <ops/declarable/CustomOperations.h>
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#include <ops/declarable/helpers/lup.h>
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namespace nd4j {
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namespace ops {
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CUSTOM_OP_IMPL(lu, 1, 2, false, 0, 0) {
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auto input = INPUT_VARIABLE(0);
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auto z = OUTPUT_VARIABLE(0);
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auto p = OUTPUT_VARIABLE(1);
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REQUIRE_TRUE(input->rankOf() >=2, 0, "matrix_inverse: The rank of input array should not less than 2, but %i is given", input->rankOf());
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REQUIRE_TRUE(input->sizeAt(-1) == input->sizeAt(-2), 0, "matrix_inverse: The last two dimmensions should be equal, but %i and %i are given", input->sizeAt(-1), input->sizeAt(-2));
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helpers::lu(block.launchContext(), input, z, p);
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return Status::OK();
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}
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DECLARE_SHAPE_FN(lu) {
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auto in = inputShape->at(0);
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auto shapeVector = ShapeUtils::shapeAsVector(in);
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auto luShape = ShapeBuilders::copyShapeInfoAndType(in, in, true, block.workspace());
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auto luP = ShapeBuilders::createShapeInfo(nd4j::DataType::INT32, shape::order(in), shapeVector.size() - 1,
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shapeVector.data(), block.workspace());
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return SHAPELIST(CONSTANT(luShape), CONSTANT(luP));
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}
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DECLARE_TYPES(lu) {
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getOpDescriptor()
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->setAllowedInputTypes({ALL_FLOATS})
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->setAllowedOutputTypes(0, {ALL_FLOATS})
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->setAllowedOutputTypes(1, {nd4j::DataType::INT32, nd4j::DataType::INT64})
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->setSameMode(false);
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}
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}
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}
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#endif |