/* Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #pragma once #include "paddle/fluid/memory/memcpy.h" #include "paddle/phi/core/ddim.h" #include "paddle/phi/core/device_context.h" #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) #include "paddle/phi/backends/gpu/gpu_context.h" #endif namespace phi { namespace funcs { namespace detail { template struct StridedMemcpyFunctor; template struct StridedMemcpyFunctor { void operator()(const phi::DeviceContext& dev_ctx, const T* src, const int64_t* src_stride, const int64_t* dst_dim, const int64_t* dst_stride, T* dst) const { auto place = dev_ctx.GetPlace(); if (place.GetType() == phi::AllocationType::CPU) { auto& cpu_place = place; paddle::memory::Copy(cpu_place, dst, cpu_place, src, sizeof(T)); } else { #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) auto& gpu_place = place; auto& cuda_ctx = reinterpret_cast(dev_ctx); paddle::memory::Copy( gpu_place, dst, gpu_place, src, sizeof(T), cuda_ctx.stream()); #else PADDLE_THROW( phi::errors::Unavailable("Paddle is not compiled with GPU.")); #endif } } }; template struct StridedMemcpyFunctor { void operator()(const phi::DeviceContext& dev_ctx, const T* src, const int64_t* src_stride, const int64_t* dst_dim, const int64_t* dst_stride, T* dst) const { auto place = dev_ctx.GetPlace(); if (place.GetType() == phi::AllocationType::CPU) { auto& cpu_place = place; paddle::memory::Copy( cpu_place, dst, cpu_place, src, sizeof(T) * dst_dim[0]); } else { #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) auto& gpu_place = place; auto& cuda_ctx = reinterpret_cast(dev_ctx); paddle::memory::Copy(gpu_place, dst, gpu_place, src, sizeof(T) * dst_dim[0], cuda_ctx.stream()); #else PADDLE_THROW( phi::errors::Unavailable("Paddle is not compiled with GPU.")); #endif } } }; template struct StridedMemcpyFunctor { void operator()(const phi::DeviceContext& dev_ctx, const T* src, const int64_t* src_stride, const int64_t* dst_dim, const int64_t* dst_stride, T* dst) const { for (int64_t i = 0; i < dst_dim[0]; ++i) { StridedMemcpyFunctor func; func(dev_ctx, src, src_stride + 1, dst_dim + 1, dst_stride + 1, dst); src += src_stride[0]; dst += dst_stride[0]; } } }; template struct StridedCopyDimVisitor { StridedCopyDimVisitor(const phi::DeviceContext& dev_ctx, const T* src, const phi::DDim& src_stride, const phi::DDim& dst_stride, T* dst) : dev_ctx_(dev_ctx), src_(src), src_stride_(src_stride), dst_stride_(dst_stride), dst_(dst) {} template void operator()(const phi::Dim& dst_dim) const { StridedMemcpyFunctor functor; functor(dev_ctx_, src_, src_stride_.Get(), dst_dim.Get(), dst_stride_.Get(), dst_); } const phi::DeviceContext& dev_ctx_; const T* src_; const phi::DDim& src_stride_; const phi::DDim& dst_stride_; T* dst_; }; } // namespace detail } // namespace funcs } // namespace phi