chore: import upstream snapshot with attribution

This commit is contained in:
wehub-resource-sync
2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
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/* Copyright (c) 2022 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. */
#include "paddle/phi/kernels/average_accumulates_kernel.h"
#include "paddle/phi/kernels/impl/average_accumulates_kernel_impl.h"
#include "paddle/phi/backends/gpu/cuda/cuda_graph_with_memory_pool.h"
#include "paddle/phi/backends/gpu/gpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
namespace phi {
template <>
void GetAccumulators<GPUContext>(const GPUContext& dev_ctx,
const DenseTensor& in_num_accumulates,
const DenseTensor& in_old_num_accumulates,
const DenseTensor& in_num_updates,
int64_t* num_updates,
int64_t* num_accumulates,
int64_t* old_num_accumulates) {
auto stream = dev_ctx.stream();
auto cuda_place = in_old_num_accumulates.place();
memory_utils::Copy(CPUPlace(),
old_num_accumulates,
cuda_place,
in_old_num_accumulates.data<int64_t>(),
sizeof(int64_t),
stream);
memory_utils::Copy(CPUPlace(),
num_accumulates,
cuda_place,
in_num_accumulates.data<int64_t>(),
sizeof(int64_t),
stream);
memory_utils::Copy(CPUPlace(),
num_updates,
cuda_place,
in_num_updates.data<int64_t>(),
sizeof(int64_t),
stream);
}
template <>
void SetAccumulators<GPUContext>(const GPUContext& dev_ctx,
int64_t num_updates,
int64_t num_accumulates,
int64_t old_num_accumulates,
DenseTensor* out_num_accumulates,
DenseTensor* out_old_num_accumulates,
DenseTensor* out_num_updates) {
int64_t* out_num_accumulates_ptr =
dev_ctx.template Alloc<int64_t>(out_num_accumulates);
int64_t* out_old_num_accumulates_ptr =
dev_ctx.template Alloc<int64_t>(out_old_num_accumulates);
int64_t* out_num_updates_ptr =
dev_ctx.template Alloc<int64_t>(out_num_updates);
auto stream = dev_ctx.stream();
auto cuda_place = out_old_num_accumulates->place();
const int64_t* stable_na =
backends::gpu::RestoreHostMemIfCapturingCUDAGraph(&num_accumulates, 1);
memory_utils::Copy(dev_ctx.GetPlace(),
out_num_accumulates_ptr,
CPUPlace(),
stable_na,
sizeof(int64_t),
stream);
const int64_t* stable_ona = backends::gpu::RestoreHostMemIfCapturingCUDAGraph(
&old_num_accumulates, 1);
memory_utils::Copy(dev_ctx.GetPlace(),
out_old_num_accumulates_ptr,
CPUPlace(),
stable_ona,
sizeof(int64_t),
stream);
const int64_t* stable_nu =
backends::gpu::RestoreHostMemIfCapturingCUDAGraph(&num_updates, 1);
memory_utils::Copy(cuda_place,
out_num_updates_ptr,
CPUPlace(),
stable_nu,
sizeof(int64_t),
stream);
}
} // namespace phi
PD_REGISTER_KERNEL(average_accumulates,
GPU,
ALL_LAYOUT,
phi::AverageAccumulatesKernel,
float,
double) {
kernel->OutputAt(3).SetDataType(phi::DataType::INT64);
kernel->OutputAt(4).SetDataType(phi::DataType::INT64);
kernel->OutputAt(5).SetDataType(phi::DataType::INT64);
}