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65 lines
2.2 KiB
65 lines
2.2 KiB
/* Copyright (c) 2018 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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#include "paddle/fluid/operators/math/softmax.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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using Tensor = framework::Tensor;
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template <typename T>
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class SoftmaxCUDNNKernel : 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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math::SoftmaxCUDNNFunctor<T>()(
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context.template device_context<platform::CUDADeviceContext>(), X, Out);
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}
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};
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template <typename T>
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class SoftmaxGradCUDNNKernel : 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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math::SoftmaxGradCUDNNFunctor<T>()(
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context.template device_context<platform::CUDADeviceContext>(), Out,
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dOut, dX);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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namespace plat = paddle::platform;
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REGISTER_OP_KERNEL(softmax, CUDNN, plat::CUDAPlace,
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ops::SoftmaxCUDNNKernel<float>,
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ops::SoftmaxCUDNNKernel<plat::float16>);
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REGISTER_OP_KERNEL(softmax_grad, CUDNN, plat::CUDAPlace,
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ops::SoftmaxGradCUDNNKernel<float>);
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