90d9d2b194
Unfortunately this has to be one big patch, because e.g. absl::StrCat doesn't accept a TF StringPiece, but as soon as we switch to absl::string_view, we have to switch away from all of the TF functions. PiperOrigin-RevId: 209957896
40 lines
1.4 KiB
C++
40 lines
1.4 KiB
C++
/* Copyright 2017 The TensorFlow 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.
|
|
==============================================================================*/
|
|
|
|
// Utilities common between the client and server for working with
|
|
// StreamExecutor devices.
|
|
|
|
#ifndef TENSORFLOW_COMPILER_XLA_DEVICE_UTIL_H_
|
|
#define TENSORFLOW_COMPILER_XLA_DEVICE_UTIL_H_
|
|
|
|
#include <string>
|
|
|
|
#include "absl/strings/str_cat.h"
|
|
#include "tensorflow/compiler/xla/types.h"
|
|
#include "tensorflow/core/platform/stream_executor_no_cuda.h"
|
|
|
|
namespace xla {
|
|
|
|
// Returns a string that represents the device in terms of platform and ordinal;
|
|
// e.g. the first CUDA device will be "cuda:0"
|
|
string DeviceIdentifier(se::StreamExecutor* stream_exec) {
|
|
return absl::StrCat(stream_exec->platform()->Name(), ":",
|
|
stream_exec->device_ordinal());
|
|
}
|
|
|
|
} // namespace xla
|
|
|
|
#endif // TENSORFLOW_COMPILER_XLA_DEVICE_UTIL_H_
|