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109 lines
4.2 KiB
109 lines
4.2 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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#define EIGEN_USE_GPU
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#include <vector>
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#include "paddle/fluid/operators/math/math_function.h"
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#include "paddle/fluid/operators/math/softmax.h"
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#include "paddle/fluid/operators/math/softmax_impl.h"
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#include "paddle/fluid/platform/cudnn_helper.h"
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namespace paddle {
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namespace operators {
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namespace math {
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using Tensor = framework::Tensor;
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using ScopedTensorDescriptor = platform::ScopedTensorDescriptor;
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using DataLayout = platform::DataLayout;
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template <typename T>
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using CudnnDataType = platform::CudnnDataType<T>;
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template <typename T>
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void SoftmaxCUDNNFunctor<T>::operator()(
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const platform::CUDADeviceContext& context, const framework::Tensor* X,
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framework::Tensor* Y) {
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// ------------------- cudnn descriptors ---------------------
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ScopedTensorDescriptor xDesc;
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ScopedTensorDescriptor yDesc;
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std::vector<int> cudnn_tensor_dims = framework::vectorize2int(X->dims());
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DataLayout layout = DataLayout::kNCHW;
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if (cudnn_tensor_dims.size() == 5) {
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layout = DataLayout::kNCDHW;
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}
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// NOTE(*) : cudnn softmax only support >= 4D Tensor,
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// fill 1 at unused dims
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if (cudnn_tensor_dims.size() <= 2) {
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cudnn_tensor_dims.resize(4, 1);
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}
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cudnnTensorDescriptor_t cudnn_x_desc =
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xDesc.descriptor<T>(layout, cudnn_tensor_dims);
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cudnnTensorDescriptor_t cudnn_y_desc =
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xDesc.descriptor<T>(layout, cudnn_tensor_dims);
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CUDNN_ENFORCE(platform::dynload::cudnnSoftmaxForward(
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context.cudnn_handle(), CUDNN_SOFTMAX_ACCURATE,
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CUDNN_SOFTMAX_MODE_INSTANCE, CudnnDataType<T>::kOne(), cudnn_x_desc,
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X->data<T>(), CudnnDataType<T>::kZero(), cudnn_y_desc,
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Y->mutable_data<T>(context.GetPlace())));
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}
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template <typename T>
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void SoftmaxGradCUDNNFunctor<T>::operator()(
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const platform::CUDADeviceContext& context, const framework::Tensor* Y,
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const framework::Tensor* YGrad, framework::Tensor* XGrad) {
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// ------------------- cudnn descriptors ---------------------
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ScopedTensorDescriptor yDesc;
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ScopedTensorDescriptor dyDesc;
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ScopedTensorDescriptor dxDesc;
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std::vector<int> cudnn_tensor_dims = framework::vectorize2int(Y->dims());
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DataLayout layout = DataLayout::kNCHW;
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if (cudnn_tensor_dims.size() == 5) {
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layout = DataLayout::kNCDHW;
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}
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// NOTE(*) : cudnn softmax only support >= 4D Tensor,
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// fill 1 at unused dims
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if (cudnn_tensor_dims.size() <= 2) {
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cudnn_tensor_dims.resize(4, 1);
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}
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cudnnTensorDescriptor_t cudnn_y_desc =
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yDesc.descriptor<T>(layout, cudnn_tensor_dims);
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cudnnTensorDescriptor_t cudnn_xgrad_desc =
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dxDesc.descriptor<T>(layout, cudnn_tensor_dims);
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cudnnTensorDescriptor_t cudnn_ygrad_desc =
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dyDesc.descriptor<T>(layout, cudnn_tensor_dims);
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CUDNN_ENFORCE(platform::dynload::cudnnSoftmaxBackward(
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context.cudnn_handle(), CUDNN_SOFTMAX_ACCURATE,
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CUDNN_SOFTMAX_MODE_INSTANCE, CudnnDataType<T>::kOne(), cudnn_y_desc,
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Y->data<T>(), cudnn_ygrad_desc, YGrad->data<T>(),
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CudnnDataType<T>::kZero(), cudnn_xgrad_desc,
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XGrad->mutable_data<T>(context.GetPlace())));
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}
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template class SoftmaxCUDNNFunctor<platform::float16>;
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template class SoftmaxCUDNNFunctor<float>;
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template class SoftmaxCUDNNFunctor<double>;
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template class SoftmaxGradCUDNNFunctor<float>;
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template class SoftmaxGradCUDNNFunctor<double>;
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template class SoftmaxFunctor<platform::CUDADeviceContext, platform::float16>;
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template class SoftmaxFunctor<platform::CUDADeviceContext, float>;
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template class SoftmaxFunctor<platform::CUDADeviceContext, double>;
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template class SoftmaxGradFunctor<platform::CUDADeviceContext, float>;
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template class SoftmaxGradFunctor<platform::CUDADeviceContext, double>;
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} // namespace math
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} // namespace operators
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} // namespace paddle
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