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# Copyright 2017 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.
# ==============================================================================
"""Entropy coder model registrar."""
class ModelFactory(object):
"""Factory of encoder/decoder models."""
def __init__(self):
self._model_dictionary = dict()
def RegisterModel(self,
entropy_coder_model_name,
entropy_coder_model_factory):
self._model_dictionary[entropy_coder_model_name] = (
entropy_coder_model_factory)
def CreateModel(self, model_name):
current_model_factory = self._model_dictionary[model_name]
return current_model_factory()
def GetAvailableModels(self):
return self._model_dictionary.keys()
_model_registry = ModelFactory()
def GetModelRegistry():
return _model_registry
class RegisterEntropyCoderModel(object):
def __init__(self, model_name):
self._model_name = model_name
def __call__(self, f):
_model_registry.RegisterModel(self._model_name, f)
return f
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