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75 lines
2.6 KiB
75 lines
2.6 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/op_registry.h"
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#include "paddle/fluid/operators/math/softmax.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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template <typename DeviceContext, typename T>
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class SoftmaxKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* X = context.Input<Tensor>("X");
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auto* Out = context.Output<Tensor>("Out");
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// allocate memory on device.
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Out->mutable_data<T>(context.GetPlace());
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auto dims = X->dims();
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auto flattened_dims = framework::flatten_to_2d(dims, dims.size() - 1);
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framework::LoDTensor flattened_x;
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framework::LoDTensor flattened_out;
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flattened_x.ShareDataWith(*X).Resize(flattened_dims);
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flattened_out.ShareDataWith(*Out).Resize(flattened_dims);
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math::SoftmaxFunctor<DeviceContext, T>()(
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context.template device_context<DeviceContext>(), &flattened_x,
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&flattened_out);
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}
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};
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template <typename DeviceContext, typename T>
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class SoftmaxGradKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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auto* Out = context.Input<Tensor>("Out");
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auto* dOut = context.Input<Tensor>(framework::GradVarName("Out"));
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auto* dX = context.Output<Tensor>(framework::GradVarName("X"));
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// allocate memory on device.
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dX->mutable_data<T>(context.GetPlace());
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auto dims = Out->dims();
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auto flattened_dims = framework::flatten_to_2d(dims, dims.size() - 1);
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framework::LoDTensor flattened_out;
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framework::LoDTensor flattened_d_out;
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framework::LoDTensor flattened_d_x;
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flattened_out.ShareDataWith(*Out).Resize(flattened_dims);
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flattened_d_out.ShareDataWith(*dOut).Resize(flattened_dims);
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flattened_d_x.ShareDataWith(*dX).Resize(flattened_dims);
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math::SoftmaxGradFunctor<DeviceContext, T>()(
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context.template device_context<DeviceContext>(), &flattened_out,
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&flattened_d_out, &flattened_d_x);
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}
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};
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} // namespace operators
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} // namespace paddle
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