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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 | |