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chore: import upstream snapshot with attribution
2026-07-13 12:14:16 +08:00

67 lines
1.8 KiB
Python

# Copyright 2023 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 storing options for loading a SavedModel."""
import contextlib
import threading
from tensorflow.python.util.tf_export import tf_export
class LoadContext(threading.local):
"""A context for loading a model."""
def __init__(self):
super().__init__()
self._entered_load_context = []
self._load_options = None
def set_load_options(self, load_options):
self._load_options = load_options
self._entered_load_context.append(True)
def clear_load_options(self):
self._load_options = None
self._entered_load_context.pop()
def load_options(self):
return self._load_options
def in_load_context(self):
return self._entered_load_context
_load_context = LoadContext()
@tf_export("__internal__.load_context", v1=[])
@contextlib.contextmanager
def load_context(load_options):
_load_context.set_load_options(load_options)
try:
yield
finally:
_load_context.clear_load_options()
def get_load_options():
"""Returns the load options under a load context."""
return _load_context.load_options()
def in_load_context():
"""Returns whether under a load context."""
return _load_context.in_load_context()