# Copyright 2019 The TensorFlow Authors, Pavel Yakubovskiy. 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. # ============================================================================== import functools _KERAS_BACKEND = None _KERAS_LAYERS = None _KERAS_MODELS = None _KERAS_UTILS = None def get_submodules_from_kwargs(kwargs): backend = kwargs.get('backend', _KERAS_BACKEND) layers = kwargs.get('layers', _KERAS_LAYERS) models = kwargs.get('models', _KERAS_MODELS) utils = kwargs.get('utils', _KERAS_UTILS) for key in kwargs.keys(): if key not in ['backend', 'layers', 'models', 'utils']: raise TypeError('Invalid keyword argument: %s', key) return backend, layers, models, utils def inject_keras_modules(func): import keras @functools.wraps(func) def wrapper(*args, **kwargs): kwargs['backend'] = keras.backend kwargs['layers'] = keras.layers kwargs['models'] = keras.models kwargs['utils'] = keras.utils return func(*args, **kwargs) return wrapper def inject_tfkeras_modules(func): import tensorflow.keras as tfkeras @functools.wraps(func) def wrapper(*args, **kwargs): kwargs['backend'] = tfkeras.backend kwargs['layers'] = tfkeras.layers kwargs['models'] = tfkeras.models kwargs['utils'] = tfkeras.utils return func(*args, **kwargs) return wrapper def init_keras_custom_objects(): import keras from . import model custom_objects = { 'swish': inject_keras_modules(model.get_swish)(), 'FixedDropout': inject_keras_modules(model.get_dropout)() } keras.utils.generic_utils.get_custom_objects().update(custom_objects) def init_tfkeras_custom_objects(): import tensorflow.keras as tfkeras from . import model custom_objects = { 'swish': inject_tfkeras_modules(model.get_swish)(), 'FixedDropout': inject_tfkeras_modules(model.get_dropout)() } tfkeras.utils.get_custom_objects().update(custom_objects)