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120 lines (97 loc) · 3.81 KB
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tensorflow
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server_lib.i
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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.
==============================================================================
*/
%nothread tensorflow::ServerInterface::Join;
%include
"
tensorflow/python/platform/base.i
"
//
%newobject tensorflow::NewServer;
%typemap(in)
const
ServerDef& (tensorflow::ServerDef 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 ServerDef could not be parsed as a valid protocol buffer
"
);
SWIG_fail;
}
$
1
= &temp;
}
%typemap(in, numinputs=
0
)
std::unique_ptr<tensorflow::ServerInterface>*
out_server
(
std::unique_ptr<tensorflow::ServerInterface> temp) {
$
1
= &temp;
}
%typemap(argout) std::unique_ptr<tensorflow::ServerInterface>* out_server {
//
TODO(mrry): Convert this to SWIG_POINTER_OWN when the issues with freeing
//
a server are fixed.
$result =
SWIG_NewPointerObj
($
1
->
release
(),
$
descriptor
(tensorflow::ServerInterface*),
0
);
}
%feature(
"
except
"
) tensorflow::ServerInterface::Join {
//
Let other threads run while we wait for the server to shut down.
Py_BEGIN_ALLOW_THREADS
$action
Py_END_ALLOW_THREADS
}
%{
#
include
"
tensorflow/c/tf_status_helper.h
"
#
include
"
tensorflow/core/distributed_runtime/server_lib.h
"
#
include
"
tensorflow/core/lib/core/status.h
"
using
tensorflow::ServerDef;
static
void
PyServer_New
(
const
ServerDef& server_def,
std::unique_ptr<tensorflow::ServerInterface>* out_server,
TF_Status* out_status) {
tensorflow::Status status =
tensorflow::NewServer
(server_def, out_server);
tensorflow::Set_TF_Status_from_Status
(out_status, status);
}
static
void
PyServer_Start
(
tensorflow::ServerInterface* in_server,
TF_Status* out_status) {
tensorflow::Set_TF_Status_from_Status
(out_status, in_server->
Start
());
}
static
void
PyServer_Stop
(
tensorflow::ServerInterface* in_server,
TF_Status* out_status) {
tensorflow::Set_TF_Status_from_Status
(out_status, in_server->
Stop
());
}
static
void
PyServer_Join
(
tensorflow::ServerInterface* in_server,
TF_Status* out_status) {
tensorflow::Set_TF_Status_from_Status
(out_status, in_server->
Join
());
}
%}
//
Wrap this function.
void
PyServer_New
(
const
ServerDef& server_def,
std::unique_ptr<tensorflow::ServerInterface>* out_server,
TF_Status* out_status);
void
PyServer_Start
(tensorflow::ServerInterface* in_server,
TF_Status* out_status);
void
PyServer_Stop
(tensorflow::ServerInterface* in_server,
TF_Status* out_status);
void
PyServer_Join
(tensorflow::ServerInterface* in_server,
TF_Status* out_status);
%ignoreall
%unignore tensorflow;
%unignore tensorflow::ServerDef;
%unignore tensorflow::ServerInterface;
%unignore tensorflow::ServerInterface::~ServerInterface;
%unignore tensorflow::ServerInterface::target;
%unignore PyServer_New;
%unignore PyServer_Start;
%unignore PyServer_Stop;
%unignore PyServer_Join;
%include
"
tensorflow/core/distributed_runtime/server_lib.h
"
%unignoreall
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