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63 lines
2.3 KiB
63 lines
2.3 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/math_function.h"
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#include "paddle/fluid/operators/math/maxouting.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 MaxOutKernel : 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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const Tensor* in_x = context.Input<Tensor>("X");
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Tensor* out = context.Output<Tensor>("Out");
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int groups = context.template Attr<int>("groups");
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math::MaxOutFunctor<DeviceContext, T> maxout_forward;
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maxout_forward(context.template device_context<DeviceContext>(), *in_x, out,
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groups);
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}
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};
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template <typename DeviceContext, typename T>
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class MaxOutGradKernel : 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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const Tensor* in_x = context.Input<Tensor>("X");
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const Tensor* out = context.Input<Tensor>("Out");
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const Tensor* out_grad =
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context.Input<Tensor>(framework::GradVarName("Out"));
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Tensor* in_x_grad = context.Output<Tensor>(framework::GradVarName("X"));
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int groups = context.template Attr<int>("groups");
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auto& device_ctx = context.template device_context<DeviceContext>();
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math::SetConstant<DeviceContext, T> zero;
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if (in_x_grad) {
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in_x_grad->mutable_data<T>(context.GetPlace());
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zero(device_ctx, in_x_grad, static_cast<T>(0.0));
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math::MaxOutGradFunctor<DeviceContext, T> maxout_backward;
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maxout_backward(device_ctx, *in_x, in_x_grad, *out, *out_grad, groups);
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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