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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
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com), created on 20.04.2018
//
#include <helpers/Loops.h>
#include <ops/declarable/helpers/transforms.h>
#if NOT_EXCLUDED(OP_trace)
namespace sd {
namespace ops {
namespace helpers {
//////////////////////////////////////////////////////////////////////////
template <typename T>
static void trace_(NDArray& input, NDArray& output) {
const int inRank = input.rankOf();
auto setOfSubArrs = input.allTensorsAlongDimension({inRank - 2, inRank - 1});
auto func = PRAGMA_THREADS_FOR {
for (auto i = start; i < stop; i++) output.p(i, setOfSubArrs.at(i)->getTrace());
};
samediff::Threads::parallel_for(func, 0, setOfSubArrs.size());
}
void trace(sd::LaunchContext* context, NDArray& input, NDArray& output) {
BUILD_SINGLE_SELECTOR(input.dataType(), trace_, (input, output), SD_COMMON_TYPES);
}
} // namespace helpers
} // namespace ops
} // namespace sd
#endif