Files
pytorch/caffe2/core/blob_serialization_gpu.cc
Yangqing Jia 8286ce1e3a Re-license to Apache
Summary: Closes https://github.com/caffe2/caffe2/pull/1260

Differential Revision: D5906739

Pulled By: Yangqing

fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
2017-09-28 16:22:00 -07:00

40 lines
1.2 KiB
C++

/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* 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 "caffe2/core/blob.h"
#include "caffe2/core/blob_serialization.h"
#include "caffe2/core/context_gpu.h"
namespace caffe2 {
template <>
void TensorSerializer<CUDAContext>::StoreDeviceDetail(
const Tensor<CUDAContext>& input, TensorProto* proto) {
auto* device_detail = proto->mutable_device_detail();
device_detail->set_device_type(CUDA);
device_detail->set_cuda_gpu_id(
GetGPUIDForPointer(input.raw_data()));
}
namespace {
REGISTER_BLOB_SERIALIZER(
(TypeMeta::Id<TensorCUDA>()),
TensorSerializer<CUDAContext>);
REGISTER_BLOB_DESERIALIZER(TensorCUDA, TensorDeserializer<CUDAContext>);
}
} // namespace caffe2