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117 lines
4.0 KiB
117 lines
4.0 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/ddim.h"
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#include "paddle/fluid/memory/memcpy.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace operators {
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namespace detail {
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template <typename T, int Rank>
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struct StridedMemcpyFunctor;
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template <typename T>
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struct StridedMemcpyFunctor<T, 0> {
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void operator()(const platform::DeviceContext& dev_ctx, const T* src,
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framework::Dim<0> src_stride, framework::Dim<0> dst_dim,
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framework::Dim<0> dst_stride, T* dst) const {
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auto place = dev_ctx.GetPlace();
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if (platform::is_cpu_place(place)) {
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auto& cpu_place = boost::get<platform::CPUPlace>(place);
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memory::Copy(cpu_place, dst, cpu_place, src, sizeof(T));
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} else {
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#ifdef PADDLE_WITH_CUDA
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auto& gpu_place = boost::get<platform::CUDAPlace>(place);
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auto& cuda_ctx =
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reinterpret_cast<const platform::CUDADeviceContext&>(dev_ctx);
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memory::Copy(gpu_place, dst, gpu_place, src, sizeof(T),
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cuda_ctx.stream());
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#else
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PADDLE_THROW("Paddle is not compiled with GPU");
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#endif
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}
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}
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};
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template <typename T>
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struct StridedMemcpyFunctor<T, 1> {
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void operator()(const platform::DeviceContext& dev_ctx, const T* src,
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framework::Dim<1> src_stride, framework::Dim<1> dst_dim,
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framework::Dim<1> dst_stride, T* dst) const {
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auto place = dev_ctx.GetPlace();
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if (platform::is_cpu_place(place)) {
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auto& cpu_place = boost::get<platform::CPUPlace>(place);
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memory::Copy(cpu_place, dst, cpu_place, src, sizeof(T) * dst_dim.head);
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} else {
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#ifdef PADDLE_WITH_CUDA
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auto& gpu_place = boost::get<platform::CUDAPlace>(place);
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auto& cuda_ctx =
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reinterpret_cast<const platform::CUDADeviceContext&>(dev_ctx);
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memory::Copy(gpu_place, dst, gpu_place, src, sizeof(T) * dst_dim.head,
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cuda_ctx.stream());
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#else
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PADDLE_THROW("Paddle is not compiled with GPU");
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#endif
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}
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}
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};
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template <typename T, int Rank>
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struct StridedMemcpyFunctor {
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void operator()(const platform::DeviceContext& dev_ctx, const T* src,
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framework::Dim<Rank> src_stride, framework::Dim<Rank> dst_dim,
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framework::Dim<Rank> dst_stride, T* dst) const {
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for (int64_t i = 0; i < dst_dim.head; ++i) {
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StridedMemcpyFunctor<T, Rank - 1> func;
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func(dev_ctx, src, src_stride.tail, dst_dim.tail, dst_stride.tail, dst);
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src += src_stride.head;
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dst += dst_stride.head;
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}
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}
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};
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template <typename T>
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struct StridedCopyDimVisitor : public boost::static_visitor<void> {
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StridedCopyDimVisitor(const platform::DeviceContext& dev_ctx, const T* src,
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const framework::DDim& src_stride,
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const framework::DDim& dst_stride, T* dst)
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: dev_ctx_(dev_ctx),
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src_(src),
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src_stride_(src_stride),
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dst_stride_(dst_stride),
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dst_(dst) {}
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template <typename Dim>
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void operator()(Dim dst_dim) const {
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Dim src_stride = boost::get<Dim>(src_stride_);
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Dim dst_stride = boost::get<Dim>(dst_stride_);
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constexpr int dim = Dim::dimensions;
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StridedMemcpyFunctor<T, dim> functor;
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functor(dev_ctx_, src_, src_stride, dst_dim, dst_stride, dst_);
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}
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const platform::DeviceContext& dev_ctx_;
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const T* src_;
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const framework::DDim& src_stride_;
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const framework::DDim& dst_stride_;
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T* dst_;
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};
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} // namespace detail
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} // namespace operators
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} // namespace paddle
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