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/*
Copyright 2016 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.
==============================================================================
*/
%include
"
tensorflow/python/platform/base.i
"
%typemap(in)
const
tensorflow::ConfigProto& (tensorflow::ConfigProto temp) {
char
* c_string;
Py_ssize_t py_size;
if
(
PyBytes_AsStringAndSize
($input, &c_string, &py_size) == -
1
) {
//
Python has raised an error (likely TypeError or UnicodeEncodeError).
SWIG_fail;
}
if
(!temp.
ParseFromString
(
string
(c_string, py_size))) {
PyErr_SetString
(
PyExc_TypeError,
"
The ConfigProto could not be parsed as a valid protocol buffer
"
);
SWIG_fail;
}
$
1
= &temp;
}
%{
#
include
"
tensorflow/core/common_runtime/device.h
"
#
include
"
tensorflow/core/common_runtime/device_factory.h
"
#
include
"
tensorflow/core/framework/device_attributes.pb.h
"
#
include
"
tensorflow/core/lib/core/status.h
"
#
include
"
tensorflow/core/protobuf/config.pb.h
"
#
include
"
tensorflow/core/public/session_options.h
"
namespace
tensorflow
{
namespace
swig
{
static
std::vector<string>
ListDevicesWithSessionConfig
(
const
tensorflow::ConfigProto& config, TF_Status* out_status) {
std::vector<string> output;
SessionOptions options;
options.
config
= config;
std::vector<Device*> devices;
Status status =
DeviceFactory::AddDevices
(
options,
"
"
/*
name_prefix
*/
, &devices);
if
(!status.
ok
()) {
Set_TF_Status_from_Status
(out_status, status);
}
std::vector<std::unique_ptr<Device>>
device_holder
(devices.
begin
(),
devices.
end
());
for
(
const
Device* device : devices) {
const
DeviceAttributes& attr = device->
attributes
();
string attr_serialized;
if
(!attr.
SerializeToString
(&attr_serialized)) {
Set_TF_Status_from_Status
(
out_status,
errors::Internal
(
"
Could not serialize device string
"
));
output.
clear
();
return
output;
}
output.
push_back
(attr_serialized);
}
return
output;
}
std::vector<string>
ListDevices
(TF_Status* out_status) {
tensorflow::ConfigProto session_config;
return
ListDevicesWithSessionConfig
(session_config, out_status);
}
}
//
namespace swig
}
//
namespace tensorflow
%}
%ignoreall
%unignore tensorflow;
%unignore tensorflow::swig;
%unignore tensorflow::swig::ListDevicesWithSessionConfig;
%unignore tensorflow::swig::ListDevices;
//
Wrap this function
namespace
tensorflow
{
namespace
swig
{
std::vector<string>
ListDevices
(TF_Status* out_status);
static
std::vector<string>
ListDevicesWithSessionConfig
(
const
tensorflow::ConfigProto& config, TF_Status* out_status);
}
//
namespace swig
}
//
namespace tensorflow
%insert(
"
python
"
) %{
def
list_devices
(session_config=None):
from tensorflow.
python
.
framework
import
errors
with errors.
raise_exception_on_not_ok_status
() as status:
if
session_config:
return
ListDevicesWithSessionConfig
(session_config.
SerializeToString
(),
status)
else
:
return
ListDevices
(status)
%}
%unignoreall
%newobject tensorflow::SessionOptions;
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