I am doing some task related to image captioning and I have loaded the weights of inception model like this
model = InceptionV3(weights='imagenet')
But I am getting error like this:
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'
What should I do? Please help. Here is the full output of above code.
1 . --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) in () 1 # Load the inception v3 model ----> 2 model = InceptionV3(include_top=True,weights='imagenet') 3 # InceptionV3(weights='imagenet')
~/anaconda3/lib/python3.6/site-packages/keras/applications/__init__.py
in wrapper(*args, **kwargs)
26 kwargs['models'] = models
27 kwargs['utils'] = utils
---> 28 return base_fun(*args, **kwargs)
29
30 return wrapper
~/anaconda3/lib/python3.6/site-packages/keras/applications/inception_v3.py
in InceptionV3(*args, **kwargs)
9 @keras_modules_injection
10 def InceptionV3(*args, **kwargs):
---> 11 return inception_v3.InceptionV3(*args, **kwargs)
12
13
~/anaconda3/lib/python3.6/site-packages/keras_applications/inception_v3.py
in InceptionV3(include_top, weights, input_tensor, input_shape,
pooling, classes, **kwargs)
155
156 if input_tensor is None:
--> 157 img_input = layers.Input(shape=input_shape)
158 else:
159 if not backend.is_keras_tensor(input_tensor):
~/anaconda3/lib/python3.6/site-packages/keras/engine/input_layer.py
in Input(shape, batch_shape, name, dtype, sparse, tensor)
176 name=name, dtype=dtype,
177 sparse=sparse,
--> 178 input_tensor=tensor)
179 # Return tensor including _keras_shape and _keras_history.
180 # Note that in this case train_output and test_output are the same pointer.
~/anaconda3/lib/python3.6/site-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 = func
93 return wrapper
~/anaconda3/lib/python3.6/site-packages/keras/engine/input_layer.py
in __init__(self, input_shape, batch_size, batch_input_shape, dtype,
input_tensor, sparse, name)
37 if not name:
38 prefix = 'input'
---> 39 name = prefix + '_' + str(K.get_uid(prefix))
40 super(InputLayer, self).__init__(dtype=dtype, name=name)
41
~/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py
in get_uid(prefix)
72 """
73 global _GRAPH_UID_DICTS
---> 74 graph = tf.get_default_graph()
75 if graph not in _GRAPH_UID_DICTS:
76 _GRAPH_UID_DICTS[graph] = defaultdict(int)
AttributeError: module 'tensorflow' has no attribute
'get_default_graph'
Change
Import keras.<something>.<something>
to
Import tensorflow.keras.<something>.<something>
where "something" refers to the module you want to import. It worked for me.