forked from tensorflow/tensorflow
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathload_library.py
More file actions
74 lines (62 loc) · 2.57 KB
/
load_library.py
File metadata and controls
74 lines (62 loc) · 2.57 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
# Copyright 2015 Google Inc. 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.
# ==============================================================================
"""Function for loading TensorFlow plugins."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import hashlib
import imp
import sys
from tensorflow.core.framework import op_def_pb2
from tensorflow.python import pywrap_tensorflow as py_tf
from tensorflow.python.util import compat
def load_op_library(library_filename):
"""Loads a TensorFlow plugin, containing custom ops and kernels.
Pass "library_filename" to a platform-specific mechanism for dynamically
loading a library. The rules for determining the exact location of the
library are platform-specific and are not documented here.
Expects the symbols "RegisterOps", "RegisterKernels", and "GetOpList", to be
defined in the library.
Args:
library_filename: Path to the plugin.
Relative or absolute filesystem path to a dynamic library file.
Returns:
A python module containing the Python wrappers for Ops defined in
the plugin.
Raises:
RuntimeError: when unable to load the library or get the python wrappers.
"""
status = py_tf.TF_NewStatus()
lib_handle = py_tf.TF_LoadLibrary(library_filename, status)
try:
if py_tf.TF_GetCode(status) != 0:
raise RuntimeError(compat.as_text(py_tf.TF_Message(status)))
finally:
py_tf.TF_DeleteStatus(status)
op_list_str = py_tf.TF_GetOpList(lib_handle)
op_list = op_def_pb2.OpList()
op_list.ParseFromString(op_list_str)
wrappers = py_tf.GetPythonWrappers(op_list_str, len(op_list_str))
# Get a unique name for the module.
module_name = hashlib.md5(wrappers).hexdigest()
module = imp.new_module(module_name)
# pylint: disable=exec-used
exec(wrappers, module.__dict__)
# Stash away the library handle for making calls into the dynamic library.
module.LIB_HANDLE = lib_handle
# OpDefs of the list of ops defined in the library.
module.OP_LIST = op_list
sys.modules[module_name] = module
return module