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ValueError: Variable generator/layer_2/batch_norm/gamma does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
I think this has to do with tensorflow 0.12.1, as more people have issues with the variable scope & get_variable.
Do you happen to know what the following line should be? gamma = tf.get_variable("gamma", [shp], initializer=tf.random_normal_initializer(1., 0.02), trainable=trainable)
Whole error:
generator architecture
Fully connected with num_outputs=1024 followed by relu
Fully connected with num_outputs=6272 followed by relu
Reshape to [7, 7, 128]
Traceback (most recent call last):
File "infogan/init.py", line 487, in
train()
File "infogan/init.py", line 267, in train
debug=True
File "infogan/init.py", line 47, in generator_forward
strip_batchnorm_from_last_layer=True)
File "/home/aiw/software/tensorflow-infogan/infogan/tf_utils.py", line 132, in run_network
scope='layer_%d' % (layer_idx,)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 177, in func_with_args
return func(*args, **current_args)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 1106, in convolution2d_transpose
outputs = normalizer_fn(outputs, **normalizer_params)
File "/home/aiw/software/tensorflow-infogan/infogan/tf_utils.py", line 39, in conv_batch_norm
gamma = tf.get_variable("gamma", [shp], initializer=tf.random_normal_initializer(1., 0.02), trainable=trainable)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 1024, in get_variable
custom_getter=custom_getter)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 850, in get_variable
custom_getter=custom_getter)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 346, in get_variable
validate_shape=validate_shape)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 331, in _true_getter
caching_device=caching_device, validate_shape=validate_shape)
File "/home/aiw/anaconda2/lib/python2.7/site-packages/tensorflow/python/ops/variable_scope.py", line 650, in _get_single_variable
"VarScope?" % name)
ValueError: Variable generator/layer_2/batch_norm/gamma does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
The text was updated successfully, but these errors were encountered:
I have the similar problem,how did you solve the problem?And here is my error
ValueError: Variable discriminator/layer_0/batch_norm/discriminator_1/layer_0/batch_norm/discriminator_1/layer_0/batch_norm/moments/normalize/mean/ExponentialMovingAverage/biased does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
ValueError: Variable generator/layer_2/batch_norm/gamma does not exist, or was not created with tf.get_variable(). Did you mean to set reuse=None in VarScope?
I think this has to do with tensorflow 0.12.1, as more people have issues with the variable scope & get_variable.
Do you happen to know what the following line should be?
gamma = tf.get_variable("gamma", [shp], initializer=tf.random_normal_initializer(1., 0.02), trainable=trainable)
Whole error:
The text was updated successfully, but these errors were encountered: