Using TensorFlow backend.
test2.py:31: UserWarning: Update your `Dense` call to the Keras 2 API: `Dense(input_dim=100, units=1024)`
model.add(Dense(input_dim=100, output_dim=1024))
Traceback (most recent call last):
File "test2.py", line 177, in <module>
train(BATCH_SIZE=args.batch_size)
File "test2.py", line 102, in train
d_on_g = generator_containing_discriminator(g, d)
File "test2.py", line 71, in generator_containing_discriminator
model.add(g)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\models.py", line 467, in add
layer(x)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\models.py", line 549, in call
return self.model.call(inputs, mask)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2085, in call
output_tensors, _, _ = self.run_internal_graph(inputs, masks)
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 2236, in run_internal_graph
output_tensors = _to_list(layer.call(computed_tensor, **kwargs))
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\layers\normalization.py", line 193, in call
self.momentum),
File "C:\ProgramData\Anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 1004, in moving_average_up
date
x, value, momentum, zero_debias=True)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\moving_averages.py", line 70, in assign_mo
ving_average
update_delta = _zero_debias(variable, value, decay)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\training\moving_averages.py", line 180, in _zero_de
bias
"biased", initializer=biased_initializer, trainable=False)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 1065, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 962, in get_variable
use_resource=use_resource, custom_getter=custom_getter)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 367, in get_variable
validate_shape=validate_shape, use_resource=use_resource)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 352, in _true_getter
use_resource=use_resource)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\ops\variable_scope.py", line 664, in _get_single_va
riable
name, "".join(traceback.format_list(tb))))
ValueError: Variable batch_normalization_1/moving_mean/biased already exists, disallowed. Did you mean to set reuse=True
in VarScope? Originally defined at:
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 1204, in __init__
self._traceback = self._graph._extract_stack() # pylint: disable=protected-access
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2630, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\ProgramData\Anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 767, in apply_op
op_def=op_def)
I am using tensorflow backend and updated the keras.json file as -
This is the error that i am getting -
Any idea what i might be doing wrong?