chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,111 @@
|
||||
/* 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);
|
||||
}
|
||||
Reference in New Issue
Block a user