64 lines
2.1 KiB
C++
64 lines
2.1 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 4/6/2018.
|
|
//
|
|
|
|
#include "ResultSet.h"
|
|
#include <ops/declarable/helpers/diag.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>
|
|
static void _diagFunctor(const NDArray* input, NDArray* output) {
|
|
|
|
const int inLength = input->lengthOf();
|
|
|
|
PRAGMA_OMP_PARALLEL_FOR_IF(inLength > Environment::getInstance()->elementwiseThreshold())
|
|
for(int i = 0; i < inLength; ++i)
|
|
output->p<T>(i * (inLength + 1), (*input).e<T>(i));
|
|
}
|
|
|
|
void diagFunctor(nd4j::LaunchContext * context, const NDArray* input, NDArray* output) {
|
|
auto xType = input->dataType();
|
|
|
|
BUILD_SINGLE_SELECTOR(xType, _diagFunctor, (input, output), LIBND4J_TYPES);
|
|
}
|
|
|
|
BUILD_SINGLE_TEMPLATE(template void _diagFunctor, (const NDArray* input, NDArray* output);, LIBND4J_TYPES);
|
|
|
|
void diagPartFunctor(nd4j::LaunchContext * context, NDArray const* input, NDArray* output) {
|
|
const int outLen = output->lengthOf();
|
|
const int inLen = input->lengthOf();
|
|
int i(0), j(0);
|
|
while (j < outLen) {
|
|
output->p(j, input->e(i));
|
|
i += outLen + 1;
|
|
++j;
|
|
}
|
|
}
|
|
|
|
|
|
}
|
|
}
|
|
} |