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67 lines
2.5 KiB
67 lines
2.5 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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template <typename DeviceContext, typename T>
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class LabelSmoothKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const {
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auto* out_t = ctx.Output<framework::LoDTensor>("Out");
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auto* in_t = ctx.Input<framework::LoDTensor>("X");
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auto* dist_t = ctx.Input<framework::Tensor>("PriorDist");
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auto label_dim = in_t->dims()[1];
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out_t->mutable_data<T>(ctx.GetPlace());
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auto epsilon = ctx.Attr<float>("epsilon");
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auto out = framework::EigenVector<T>::Flatten(*out_t);
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auto in = framework::EigenVector<T>::Flatten(*in_t);
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auto& dev = *ctx.template device_context<DeviceContext>().eigen_device();
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if (dist_t) {
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auto dist = framework::EigenVector<T>::Flatten(*dist_t);
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out.device(dev) =
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static_cast<T>(1 - epsilon) * in +
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epsilon * dist.broadcast(Eigen::DSizes<int, 1>(in_t->numel()));
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} else {
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out.device(dev) = static_cast<T>(1 - epsilon) * in +
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static_cast<T>(epsilon / label_dim);
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}
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}
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};
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template <typename DeviceContext, typename T>
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class LabelSmoothGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const {
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auto* d_out_t = ctx.Input<framework::Tensor>(framework::GradVarName("Out"));
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auto* d_in_t = ctx.Output<framework::Tensor>(framework::GradVarName("X"));
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d_in_t->mutable_data<T>(ctx.GetPlace());
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auto d_out = framework::EigenVector<T>::Flatten(*d_out_t);
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auto d_in = framework::EigenVector<T>::Flatten(*d_in_t);
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auto epsilon = ctx.Attr<float>("epsilon");
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auto& dev = *ctx.template device_context<DeviceContext>().eigen_device();
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d_in.device(dev) = static_cast<T>(1 - epsilon) * d_out;
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}
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};
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} // namespace operators
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} // namespace paddle
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