ValueError: Unknown initializer: GlorotUniform

完整报错如下:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-4-85ad0fe8ebcc> in <module>()4 # model = tf.keras.models.load_model('cats_and_dogs_small_2.h5')5
----> 6 model = load_model('cats_and_dogs_small_2.h5')7 model.summary()  # As a reminder.15 frames
/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in load_wrapper(*args, **kwargs)456                 os.remove(tmp_filepath)457             return res
--> 458         return load_function(*args, **kwargs)459 460     return load_wrapper/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in load_model(filepath, custom_objects, compile)548     if H5Dict.is_supported_type(filepath):549         with H5Dict(filepath, mode='r') as h5dict:
--> 550             model = _deserialize_model(h5dict, custom_objects, compile)551     elif hasattr(filepath, 'write') and callable(filepath.write):552         def load_function(h5file):/usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in _deserialize_model(h5dict, custom_objects, compile)241         raise ValueError('No model found in config.')242     model_config = json.loads(model_config.decode('utf-8'))
--> 243     model = model_from_config(model_config, custom_objects=custom_objects)244     model_weights_group = h5dict['model_weights']245 /usr/local/lib/python3.6/dist-packages/keras/engine/saving.py in model_from_config(config, custom_objects)591                         '`Sequential.from_config(config)`?')592     from ..layers import deserialize
--> 593     return deserialize(config, custom_objects=custom_objects)594 595 /usr/local/lib/python3.6/dist-packages/keras/layers/__init__.py in deserialize(config, custom_objects)166                                     module_objects=globs,167                                     custom_objects=custom_objects,
--> 168                                     printable_module_name='layer')/usr/local/lib/python3.6/dist-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)145                     config['config'],146                     custom_objects=dict(list(_GLOBAL_CUSTOM_OBJECTS.items()) +
--> 147                                         list(custom_objects.items())))148             with CustomObjectScope(custom_objects):149                 return cls.from_config(config['config'])/usr/local/lib/python3.6/dist-packages/keras/engine/sequential.py in from_config(cls, config, custom_objects)299         for conf in layer_configs:300             layer = layer_module.deserialize(conf,
--> 301                                              custom_objects=custom_objects)302             model.add(layer)303         if not model.inputs and build_input_shape:/usr/local/lib/python3.6/dist-packages/keras/layers/__init__.py in deserialize(config, custom_objects)166                                     module_objects=globs,167                                     custom_objects=custom_objects,
--> 168                                     printable_module_name='layer')/usr/local/lib/python3.6/dist-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)147                                         list(custom_objects.items())))148             with CustomObjectScope(custom_objects):
--> 149                 return cls.from_config(config['config'])150         else:151             # Then `cls` may be a function returning a class./usr/local/lib/python3.6/dist-packages/keras/engine/base_layer.py in from_config(cls, config)1101             A layer instance.1102         """
-> 1103         return cls(**config)1104 1105     def count_params(self):/usr/local/lib/python3.6/dist-packages/keras/legacy/interfaces.py in wrapper(*args, **kwargs)89                 warnings.warn('Update your `' + object_name + '` call to the ' +90                               'Keras 2 API: ' + signature, stacklevel=2)
---> 91             return func(*args, **kwargs)92         wrapper._original_function = func93         return wrapper/usr/local/lib/python3.6/dist-packages/keras/layers/convolutional.py in __init__(self, filters, kernel_size, strides, padding, data_format, dilation_rate, activation, use_bias, kernel_initializer, bias_initializer, kernel_regularizer, bias_regularizer, activity_regularizer, kernel_constraint, bias_constraint, **kwargs)482             kernel_constraint=kernel_constraint,483             bias_constraint=bias_constraint,
--> 484             **kwargs)485 486     def get_config(self):/usr/local/lib/python3.6/dist-packages/keras/layers/convolutional.py in __init__(self, rank, filters, kernel_size, strides, padding, data_format, dilation_rate, activation, use_bias, kernel_initializer, bias_initializer, kernel_regularizer, bias_regularizer, activity_regularizer, kernel_constraint, bias_constraint, **kwargs)115         self.activation = activations.get(activation)116         self.use_bias = use_bias
--> 117         self.kernel_initializer = initializers.get(kernel_initializer)118         self.bias_initializer = initializers.get(bias_initializer)119         self.kernel_regularizer = regularizers.get(kernel_regularizer)/usr/local/lib/python3.6/dist-packages/keras/initializers.py in get(identifier)499 def get(identifier):500     if isinstance(identifier, dict):
--> 501         return deserialize(identifier)502     elif isinstance(identifier, six.string_types):503         config = {'class_name': str(identifier), 'config': {}}/usr/local/lib/python3.6/dist-packages/keras/initializers.py in deserialize(config, custom_objects)494                                     module_objects=globals(),495                                     custom_objects=custom_objects,
--> 496                                     printable_module_name='initializer')497 498 /usr/local/lib/python3.6/dist-packages/keras/utils/generic_utils.py in deserialize_keras_object(identifier, module_objects, custom_objects, printable_module_name)138             if cls is None:139                 raise ValueError('Unknown ' + printable_module_name +
--> 140                                  ': ' + class_name)141         if hasattr(cls, 'from_config'):142             custom_objects = custom_objects or {}ValueError: Unknown initializer: GlorotUniform

解决方案如下:

from keras.models import load_model
import tensorflow as tf
model = load_model('cats_and_dogs_small_2.h5')
model.summary()  # As a reminder.

改成:

from keras.models import load_model
import tensorflow as tf
model = tf.keras.models.load_model('cats_and_dogs_small_2.h5')
model.summary()  # As a reminder.

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