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

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