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deeplearning4j--deeplearning4j/libnd4j/include/ops/declarable/generic/linalg/eig.cpp
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2026-07-13 12:47:05 +08:00

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/* ******************************************************************************
*
*
* 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.
*
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership.
* 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
******************************************************************************/
#include <system/op_boilerplate.h>
#if NOT_EXCLUDED(OP_eig)
#include <helpers/EigenValsAndVecs.h>
#include <ops/declarable/CustomOperations.h>
namespace sd {
namespace ops {
//////////////////////////////////////////////////////////////////////////
CUSTOM_OP_IMPL(eig, 1, 2, false, 0, 0) {
auto input = INPUT_VARIABLE(0);
auto eig_vals = OUTPUT_VARIABLE(0);
auto eig_vectors = OUTPUT_VARIABLE(1);
// input validation
REQUIRE_TRUE(input->rankOf() == 2, 0, "Eig: input is not a matrix. rank: %i == 2", input->rankOf());
auto n1 = input->sizeAt(0);
auto n2 = input->sizeAt(1);
REQUIRE_TRUE(n1 == n2, 0, "Eig: input is not a square matrix. rank: {%i, %i}", n1, n2);
REQUIRE_TRUE(eig_vals->rankOf() == 2 && eig_vals->sizeAt(0) == n1 && eig_vals->sizeAt(1) == 2, 0,
"Eig: the shape of the eigenvalue results should be {%i, 2}", n1);
REQUIRE_TRUE(eig_vectors->rankOf() == 3 && eig_vectors->sizeAt(0) == n1 && eig_vectors->sizeAt(1) == n1 &&
eig_vectors->sizeAt(2) == 2,
0, "Eig: the shape of the eigenvector results should be {%i, %i, 2}", n1);
helpers::eig(*input, *eig_vals, *eig_vectors);
return Status::OK;
}
DECLARE_TYPES(eig) { getOpDescriptor()->setAllowedInputTypes({ALL_FLOATS})->setSameMode(true); }
//////////////////////////////////////////////////////////////////////////
DECLARE_SHAPE_FN(eig) {
auto inputShapeInfo = inputShape->at(0);
REQUIRE_TRUE(inputShapeInfo[0] == 2, 0, "Eig: input is not a matrix. rank: %i == 2", inputShapeInfo[0]);
auto n1 = shape::shapeOf(inputShapeInfo)[0];
auto n2 = shape::shapeOf(inputShapeInfo)[1];
REQUIRE_TRUE(n1 == n2, 0, "Eig: input is not a square matrix. rank: {%i, %i}", n1, n2);
auto dtype_float = ArrayOptions::dataType(inputShapeInfo);
auto ordering = shape::order(inputShapeInfo);
auto desc = ShapeBuilders::createShapeInfo(dtype_float, ordering, {n1, 2});
auto output0 = ConstantShapeHelper::getInstance().bufferForShapeInfo(desc);
auto desc2 = ShapeBuilders::createShapeInfo(dtype_float, ordering, {n1, n1, 2});
auto output1 =ConstantShapeHelper::getInstance().bufferForShapeInfo(desc2);
return SHAPELIST(output0->primary(), output1->primary());
}
} // namespace ops
} // namespace sd
#endif