wehub-resource-sync
64 lines
2.1 KiB
C++
64 lines
2.1 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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#include "paddle/phi/kernels/funcs/eigen/eigen_function.h"
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namespace phi {
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template <typename T, typename Context>
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void HingeLossKernel(const Context& dev_ctx,
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const DenseTensor& logits,
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const DenseTensor& labels,
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DenseTensor* loss) {
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auto* pred = &logits;
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auto* label = &labels;
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auto& place = *dev_ctx.eigen_device();
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auto x = EigenVector<T>::Flatten(*pred);
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auto y = EigenVector<T>::Flatten(*label);
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dev_ctx.template Alloc<T>(loss);
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auto l = EigenVector<T>::Flatten(*loss);
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funcs::EigenHingeLoss<std::decay_t<decltype(place)>, T>::Eval(place, l, x, y);
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}
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template <typename T, typename Context>
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void HingeLossGradKernel(const Context& dev_ctx,
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const DenseTensor& logits,
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const DenseTensor& labels,
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const DenseTensor& loss_grad,
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DenseTensor* logits_grad) {
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auto* pred = &logits;
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auto* label = &labels;
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auto* dloss = &loss_grad;
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auto* dpred = logits_grad;
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auto& place = *dev_ctx.eigen_device();
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auto x = EigenVector<T>::Flatten(*pred);
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auto y = EigenVector<T>::Flatten(*label);
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auto dl = EigenVector<T>::Flatten(*dloss);
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if (dpred) {
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dev_ctx.template Alloc<T>(dpred);
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auto dx = EigenVector<T>::Flatten(*dpred);
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funcs::EigenHingeLossGrad<std::decay_t<decltype(place)>, T>::Eval(
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place, dx, dl, x, y);
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}
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}
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} // namespace phi
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