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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"
%{
#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/public/session_options.h"
namespace tensorflow {
namespace swig {
static std::vector<string> ListDevices(TF_Status* out_status) {
std::vector<string> output;
SessionOptions options;
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;
}
} // namespace swig
} // namespace tensorflow
%}
%ignoreall
%unignore tensorflow;
%unignore tensorflow::swig;
%unignore tensorflow::swig::ListDevices;
// Wrap this function
namespace tensorflow {
namespace swig {
std::vector<string> ListDevices(TF_Status* out_status);
} // namespace swig
} // namespace tensorflow
%insert("python") %{
def list_devices():
from tensorflow.python.framework import errors
with errors.raise_exception_on_not_ok_status() as status:
return ListDevices(status)
%}
%unignoreall
%newobject tensorflow::SessionOptions;
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