cavis/libnd4j/include/ops/declarable/helpers/cpu/matrix_diag_part.cpp

70 lines
2.5 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
******************************************************************************/
//
// Created by GS <sgazeos@gmail.com> on 3/21/2018.
//
#include "ResultSet.h"
#include <ops/declarable/helpers/matrix_diag_part.h>
#include <Status.h>
#include <execution/Threads.h>
namespace nd4j {
namespace ops {
namespace helpers {
//////////////////////////////////////////////////////////////////////////
// Returns a batched matrix tensor with new batched diagonal values.
// for detailed explanations please take a look on web page: https://www.tensorflow.org/api_docs/python/tf/matrix_set_diag
template <typename T>
int _matrixDiagPart(const NDArray* input, NDArray* output) {
auto listOut = output->allTensorsAlongDimension({output->rankOf() - 1});
auto listDiag = input->allTensorsAlongDimension({input->rankOf() - 2, input->rankOf() - 1});
if (listOut->size() != listDiag->size()) {
nd4j_printf("matrix_diag_part: Input matrix has wrong shape.", "");
return ND4J_STATUS_VALIDATION;
}
int lastDimension = nd4j::math::nd4j_min(input->sizeAt(-2), input->sizeAt(-1));
// TODO: tune this properlys
int lO = listOut->size();
auto func = PRAGMA_THREADS_FOR {
for (auto i = start; i < stop; i += increment)
for (int j = 0; j < lastDimension; ++j)
listOut->at(i)->p(j, listDiag->at(i)->e<T>(j, j));
};
samediff::Threads::parallel_tad(func, 0, lO);
delete listOut;
delete listDiag;
return Status::OK();
}
int matrixDiagPart(nd4j::LaunchContext * context, const NDArray* input, NDArray* output) {
BUILD_SINGLE_SELECTOR(input->dataType(), return _matrixDiagPart, (input, output), LIBND4J_TYPES);
}
BUILD_SINGLE_TEMPLATE(template int _matrixDiagPart, (const NDArray* input, NDArray* output), LIBND4J_TYPES);
}
}
}