You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
68 lines
3.0 KiB
68 lines
3.0 KiB
/* Copyright (c) 2016 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/fluid/operators/average_accumulates_op.h"
|
|
#include "paddle/fluid/platform/gpu_info.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
template <>
|
|
void GetAccumulators<paddle::platform::CUDADeviceContext>(
|
|
const framework::ExecutionContext& ctx, int64_t* num_updates_,
|
|
int64_t* num_accumulates_, int64_t* old_num_accumulates_) {
|
|
auto* in_old_num_accumulates = ctx.Input<Tensor>("in_old_num_accumulates");
|
|
auto* in_num_accumulates = ctx.Input<Tensor>("in_num_accumulates");
|
|
auto* in_num_updates = ctx.Input<Tensor>("in_num_updates");
|
|
auto stream = ctx.cuda_device_context().stream();
|
|
auto cuda_place =
|
|
boost::get<platform::CUDAPlace>(in_old_num_accumulates->place());
|
|
memory::Copy(platform::CPUPlace(), old_num_accumulates_, cuda_place,
|
|
in_old_num_accumulates->data<int64_t>(), sizeof(int64_t),
|
|
stream);
|
|
memory::Copy(platform::CPUPlace(), num_accumulates_, cuda_place,
|
|
in_num_accumulates->data<int64_t>(), sizeof(int64_t), stream);
|
|
memory::Copy(platform::CPUPlace(), num_updates_, cuda_place,
|
|
in_num_updates->data<int64_t>(), sizeof(int64_t), stream);
|
|
}
|
|
|
|
template <>
|
|
void SetAccumulators<paddle::platform::CUDADeviceContext>(
|
|
const framework::ExecutionContext& ctx, int64_t num_updates_,
|
|
int64_t num_accumulates_, int64_t old_num_accumulates_) {
|
|
auto stream = ctx.cuda_device_context().stream();
|
|
auto* out_old_num_accumulates = ctx.Output<Tensor>("out_old_num_accumulates");
|
|
auto* out_num_accumulates = ctx.Output<Tensor>("out_num_accumulates");
|
|
auto* out_num_updates = ctx.Output<Tensor>("out_num_updates");
|
|
auto cuda_place =
|
|
boost::get<platform::CUDAPlace>(out_old_num_accumulates->place());
|
|
|
|
memory::Copy(cuda_place, out_old_num_accumulates->data<int64_t>(),
|
|
platform::CPUPlace(), &old_num_accumulates_, sizeof(int64_t),
|
|
stream);
|
|
memory::Copy(cuda_place, out_num_accumulates->data<int64_t>(),
|
|
platform::CPUPlace(), &num_accumulates_, sizeof(int64_t),
|
|
stream);
|
|
memory::Copy(cuda_place, out_num_updates->data<int64_t>(),
|
|
platform::CPUPlace(), &num_updates_, sizeof(int64_t), stream);
|
|
}
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|
|
|
|
namespace ops = paddle::operators;
|
|
REGISTER_OP_CUDA_KERNEL(
|
|
average_accumulates,
|
|
ops::AverageAccumulatesKernel<paddle::platform::CUDADeviceContext, float>,
|
|
ops::AverageAccumulatesKernel<paddle::platform::CUDADeviceContext, double>);
|