Hi Thomas,
Great work with this, was trying myself to change the Udacity DCGAN to accept new data with no luck, was happy too see someone had cracked it :-)
But have run into a few problems:
- First time def train reaches i=1500 program crashes with the following error:
NameError Traceback (most recent call last)
in ()
4 with tf.Graph().as_default():
5 losses, samples = train(epochs, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, dataset.get_batches,
----> 6 dataset.shape, dataset.image_mode, alpha)
in train(epoch_count, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, get_batches, data_shape, data_image_mode, alpha)
80
81
---> 82 return losses, samples
NameError: name 'losses' is not defined
- Set from_checkpoint = True and received following error when running tf.graph():
INFO:tensorflow:Restoring parameters from ./models/model.ckpt
UnboundLocalError Traceback (most recent call last)
in ()
4 with tf.Graph().as_default():
5 losses, samples = train(epochs, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, dataset.get_batches,
----> 6 dataset.shape, dataset.image_mode, alpha)
in train(epoch_count, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, get_batches, data_shape, data_image_mode, alpha)
35
36
---> 37 show_generator_output(sess, 4, input_z, data_shape[3], data_image_mode, image_path, True, False)
38
39 else:
UnboundLocalError: local variable 'image_path' referenced before assignment
I am running on a local machine with GPU and Tensorflow version 1.8.0
Hi Thomas,
Great work with this, was trying myself to change the Udacity DCGAN to accept new data with no luck, was happy too see someone had cracked it :-)
But have run into a few problems:
NameError Traceback (most recent call last)
in ()
4 with tf.Graph().as_default():
5 losses, samples = train(epochs, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, dataset.get_batches,
----> 6 dataset.shape, dataset.image_mode, alpha)
in train(epoch_count, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, get_batches, data_shape, data_image_mode, alpha)
80
81
---> 82 return losses, samples
NameError: name 'losses' is not defined
INFO:tensorflow:Restoring parameters from ./models/model.ckpt
UnboundLocalError Traceback (most recent call last)
in ()
4 with tf.Graph().as_default():
5 losses, samples = train(epochs, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, dataset.get_batches,
----> 6 dataset.shape, dataset.image_mode, alpha)
in train(epoch_count, batch_size, z_dim, learning_rate_D, learning_rate_G, beta1, get_batches, data_shape, data_image_mode, alpha)
35
36
---> 37 show_generator_output(sess, 4, input_z, data_shape[3], data_image_mode, image_path, True, False)
38
39 else:
UnboundLocalError: local variable 'image_path' referenced before assignment
I am running on a local machine with GPU and Tensorflow version 1.8.0