59 lines
2.0 KiB
C++
59 lines
2.0 KiB
C++
/* ******************************************************************************
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*
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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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* See the NOTICE file distributed with this work for additional
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* information regarding copyright ownership.
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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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// @author Yurii Shyrma (iuriish@yahoo.com), created on 20.04.2018
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//
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#include <ops/declarable/helpers/transforms.h>
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#include <helpers/Loops.h>
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namespace sd {
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namespace ops {
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namespace helpers {
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//////////////////////////////////////////////////////////////////////////
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template <typename T>
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static void triuBP_(sd::LaunchContext * context, const NDArray& input, const NDArray& gradO, NDArray& gradI, const int diagonal) {
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auto dOdI = NDArray(&gradO); // dO/dI
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const_cast<NDArray&>(input).fillAsTriangular<T>(0, diagonal, dOdI.sizeAt(-1), dOdI, 'b');
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int dLen = dOdI.lengthOf();
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auto func = PRAGMA_THREADS_FOR {
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for (auto i = start; i < stop; i++) {
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if (dOdI.t<T>(i) != static_cast<T>(0.f))
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dOdI.r<T>(i) = static_cast<T>(1.f);
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}
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};
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samediff::Threads::parallel_for(func, 0, dLen);
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// FIXME: !!!
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gradI.assign(dOdI * gradO); // chain rule: dLoss/dI = dO/dI * dLoss/dO
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}
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void triuBP(sd::LaunchContext * context, const NDArray& input, const NDArray& gradO, NDArray& gradI, const int diagonal) {
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BUILD_SINGLE_SELECTOR(gradO.dataType(), triuBP_, (context, input, gradO, gradI, diagonal), LIBND4J_TYPES);
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}
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}
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}
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}
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