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Hi, I'm trying to train my own dataset, but have this error. Do you have any ideas? Traceback (most recent call last): File "wrapper.py", line 29, in <module> process_config(sys.argv[1]) File "wrapper.py", line 22, in process_config gan.execute() File "/floyd/home/deepzine.py", line 89, in execute self.train_gan() File "/floyd/home/deepzine.py", line 204, in train_gan pggan.train() File "/floyd/home/model.py", line 283, in train sess.run(self.opti_D, feed_dict={self.images: real_data, self.latent: sample_latent}) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 887, in run run_metadata_ptr) File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1086, in _run str(subfeed_t.get_shape()))) ValueError: Cannot feed value of shape (0,) for Tensor 'Placeholder_1:0', which has shape '(16, 4, 4, 3)'
The text was updated successfully, but these errors were encountered:
It looks like data is not being fed into your network, perhaps because something went wrong in the data-loading process, but unfortunately I cannot troubleshoot without understanding more about the dataset you are trying to train on. Are you working with similar data downloaded from the Internet Archive?
Hi, I'm trying to train my own dataset, but have this error. Do you have any ideas?
Traceback (most recent call last):
File "wrapper.py", line 29, in <module>
process_config(sys.argv[1])
File "wrapper.py", line 22, in process_config
gan.execute()
File "/floyd/home/deepzine.py", line 89, in execute
self.train_gan()
File "/floyd/home/deepzine.py", line 204, in train_gan
pggan.train()
File "/floyd/home/model.py", line 283, in train
sess.run(self.opti_D, feed_dict={self.images: real_data, self.latent: sample_latent})
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 887, in run run_metadata_ptr)
File "/usr/local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1086, in _run str(subfeed_t.get_shape())))
ValueError: Cannot feed value of shape (0,) for Tensor 'Placeholder_1:0', which has shape '(16, 4, 4, 3)'
The text was updated successfully, but these errors were encountered: