Face-generation-GAN
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module 'tensorflow' has no attribute 'get_default_graph'
I'm getting a new error now. I'm using tf 2.1.0. Keras installs:
Keras 2.1.0
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-27e9790611ce> in <module>
64 return discriminator
65
---> 66 generator = create_generator()
67 discriminator = create_discriminator()
68 discriminator.trainable = False
<ipython-input-2-27e9790611ce> in create_generator()
1 def create_generator():
----> 2 gen_input = Input(shape=(LATENT_DIM, ))
3
4 x = Dense(128 * 16 * 16)(gen_input)
5 x = LeakyReLU()(x)
g:\jupyterlab_py37\venv\lib\site-packages\keras\engine\topology.py in Input(shape, batch_shape, name, dtype, sparse, tensor)
1437 name=name, dtype=dtype,
1438 sparse=sparse,
-> 1439 input_tensor=tensor)
1440 # Return tensor including _keras_shape and _keras_history.
1441 # Note that in this case train_output and test_output are the same pointer.
g:\jupyterlab_py37\venv\lib\site-packages\keras\legacy\interfaces.py in wrapper(*args, **kwargs)
85 warnings.warn('Update your `' + object_name +
86 '` call to the Keras 2 API: ' + signature, stacklevel=2)
---> 87 return func(*args, **kwargs)
88 wrapper._original_function = func
89 return wrapper
g:\jupyterlab_py37\venv\lib\site-packages\keras\engine\topology.py in __init__(self, input_shape, batch_size, batch_input_shape, dtype, input_tensor, sparse, name)
1299 if not name:
1300 prefix = 'input'
-> 1301 name = prefix + '_' + str(K.get_uid(prefix))
1302 super(InputLayer, self).__init__(dtype=dtype, name=name)
1303
g:\jupyterlab_py37\venv\lib\site-packages\keras\backend\tensorflow_backend.py in get_uid(prefix)
61 """
62 global _GRAPH_UID_DICTS
---> 63 graph = tf.get_default_graph()
64 if graph not in _GRAPH_UID_DICTS:
65 _GRAPH_UID_DICTS[graph] = defaultdict(int)
AttributeError: module 'tensorflow' has no attribute 'get_default_graph'```