chore: import upstream snapshot with attribution
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/phi/kernels/memcpy_kernel.h"
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#include <vector>
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#include "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/stream.h"
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namespace phi {
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static constexpr size_t WAIT_THRESHOLD = 64 * 1024;
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template <typename Context>
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PADDLE_API void MemcpyH2DKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int dst_place_type,
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DenseTensor* out) {
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if (!x.initialized()) {
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out->set_meta(x.meta());
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return;
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}
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PADDLE_ENFORCE(
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(dst_place_type >= 0 && dst_place_type <= 3) || (dst_place_type == 6),
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errors::OutOfRange("dst_place_type only supports 0-3 or 6, but got: %d",
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dst_place_type));
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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}
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template <typename Context>
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PADDLE_API void MemcpyD2HKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int dst_place_type,
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DenseTensor* out) {
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switch (dst_place_type) {
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case 0:
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Copy(dev_ctx, x, CPUPlace(), false, out);
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// NOTE(copy from Aurelius84): host <-> device memory copies of a memory
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// block of 64 KB or less are asynchronous. See
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// https://forums.developer.nvidia.com/t/host-device-memory-copies-up-to-64-kb-are-asynchronous/17907
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if (x.memory_size() <= WAIT_THRESHOLD) {
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dev_ctx.Wait();
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}
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break;
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case 1:
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Copy(dev_ctx, x, GPUPinnedPlace(), false, out);
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// Copy use async copy for GPUPinnedPlace
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dev_ctx.Wait();
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break;
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default:
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PADDLE_THROW(errors::InvalidArgument(
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"Argument 'dst_place_type' only support 0-1, but got: %d",
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dst_place_type));
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break;
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}
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}
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template <typename Context>
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void MemcpyD2HMultiIOKernel(const Context& dev_ctx,
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const TensorArray& array,
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int dst_place_type,
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TensorArray* out_array) {
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PADDLE_ENFORCE_NOT_NULL(
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out_array,
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errors::PreconditionNotMet("output tensor_array should not be nullptr"));
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out_array->clear();
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out_array->resize(array.size());
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for (size_t i = 0; i < array.size(); i++) {
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const auto& x = array[i];
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MemcpyD2HKernel<Context>(dev_ctx, x, dst_place_type, &(out_array->at(i)));
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}
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}
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template <typename Context>
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void MemcpyKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int dst_place_type,
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DenseTensor* out) {
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if (!x.IsInitialized()) {
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return;
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}
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PADDLE_ENFORCE_GE(
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dst_place_type,
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0,
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errors::OutOfRange("dst_place_type only support 0-4, but got: %d",
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dst_place_type));
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PADDLE_ENFORCE_LE(
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dst_place_type,
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4,
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errors::OutOfRange("dst_place_type only support 0-4, but got: %d",
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dst_place_type));
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switch (dst_place_type) {
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case 0: /* CPUPlace */
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dev_ctx.HostAlloc(out, out->dtype());
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Copy(dev_ctx, x, CPUPlace(), true, out);
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break;
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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case 1: /* CUDAPlace */
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dev_ctx.Alloc(out, x.dtype());
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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break;
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case 2: /* CUDAPinnedPlace */
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dev_ctx.Alloc(out, x.dtype(), 0, true);
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Copy(dev_ctx, x, GPUPinnedPlace(), false, out);
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break;
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#elif defined(PADDLE_WITH_XPU)
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case 1: // XPUPlace
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dev_ctx.Alloc(out, x.dtype());
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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break;
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case 3: // XPUPlace
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dev_ctx.Alloc(out, x.dtype());
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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break;
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case 5: /* XPUPinnedPlace */
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dev_ctx.Alloc(out, x.dtype(), 0, true);
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Copy(dev_ctx, x, XPUPinnedPlace(), false, out);
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break;
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#elif defined(PADDLE_WITH_CUSTOM_DEVICE)
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case 1: // CustomPlace
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dev_ctx.Alloc(out, x.dtype());
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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break;
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case 4: // CustomPlace
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dev_ctx.Alloc(out, x.dtype());
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Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
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break;
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#endif
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default:
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PADDLE_THROW(errors::Unimplemented(
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"memcpy dst_place_type: %d is not supported yet.", dst_place_type));
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break;
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(memcpy_h2d,
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ALL_LAYOUT,
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phi::MemcpyH2DKernel) {}
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(memcpy_d2h,
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ALL_LAYOUT,
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phi::MemcpyD2HKernel) {
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kernel->OutputAt(0).SetBackend(phi::Backend::CPU);
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}
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(memcpy_d2h_multi_io,
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ALL_LAYOUT,
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phi::MemcpyD2HMultiIOKernel) {
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kernel->OutputAt(0).SetBackend(phi::Backend::CPU);
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}
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PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(memcpy,
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ALL_LAYOUT,
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phi::MemcpyKernel) {
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kernel->InputAt(0).SetBackend(phi::Backend::ALL_BACKEND);
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}
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