# 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 storing options for loading a SavedModel."""

import contextlib
import threading

import tensorflow.compat.v2 as tf


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()


@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()


tf.__internal__.register_load_context_function(in_load_context)
