46 lines
1.7 KiB
C++
46 lines
1.7 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 2/27/2018
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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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OP_IMPL(matrix_inverse, 1, 1, true) {
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auto input = INPUT_VARIABLE(0);
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auto output = OUTPUT_VARIABLE(0);
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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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return helpers::inverse(block.launchContext(), input, output);
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}
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DECLARE_TYPES(matrix_inverse) {
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getOpDescriptor()
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->setAllowedInputTypes(nd4j::DataType::ANY)
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->setSameMode(true);
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}
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}
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}
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#endif |