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Copy pathsave_context.py
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66 lines (51 loc) · 1.82 KB
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# Copyright 2020 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.
# ==============================================================================
"""Context for building SavedModel."""
import contextlib
import threading
class SaveContext(threading.local):
"""A context for building a graph of SavedModel."""
def __init__(self):
super(SaveContext, self).__init__()
self._in_save_context = False
self._options = None
def options(self):
if not self.in_save_context():
raise ValueError("Not in a SaveContext.")
return self._options
def enter_save_context(self, options):
self._in_save_context = True
self._options = options
def exit_save_context(self):
self._in_save_context = False
self._options = None
def in_save_context(self):
return self._in_save_context
_save_context = SaveContext()
@contextlib.contextmanager
def save_context(options):
if in_save_context():
raise ValueError("Already in a SaveContext.")
_save_context.enter_save_context(options)
try:
yield
finally:
_save_context.exit_save_context()
def in_save_context():
"""Returns whether under a save context."""
return _save_context.in_save_context()
def get_save_options():
"""Returns the save options if under a save context."""
return _save_context.options()