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I am trying to run this on windows 10. Python 3.6 64bit tensorflow-gpu 1.4.0 With wikiart in ./data/wikiart When runnning: python main.py --epoch 25 --learning_rate .0001 --beta 0.5 --batch_size 16 --sample_size 16 --input_height 32 --output_height 32 --lambda_val 1.0 --smoothing 1.0 --use_resize True --dataset wikiart --input_fname_pattern */*.jpg --crop False --visualize True --can True --train True I get:
python main.py --epoch 25 --learning_rate .0001 --beta 0.5 --batch_size 16 --sample_size 16 --input_height 32 --output_height 32 --lambda_val 1.0 --smoothing 1.0 --use_resize True --dataset wikiart --input_fname_pattern */*.jpg --crop False --visualize True --can True --train True
python main.py --epoch 25 --learning_rate .0001 --beta 0.5 --batch_size 16 --sample_size 16 --input_height 32 --output_height 32 --lambda_val 1.0 --smoothing 1.0 --use_resize True --dataset wikiart --input_fname_pattern */*.jpg --crop False --visualize True --can True --train True Before processing flags {'allow_gpu_growth': False, 'batch_size': 16, 'beta1': 0.5, 'can': True, 'checkpoint_dir': None, 'crop': False, 'dataset': 'wikiart', 'epoch': 25, 'input_fname_pattern': '*/*.jpg', 'input_height': 32, 'input_width': None, 'lambda_val': 1.0, 'learning_rate': 0.0001, 'load_dir': None, 'log_dir': 'logs', 'output_height': 32, 'output_width': None, 'replay': True, 's3_bucket': None, 'sample_dir': None, 'sample_itr': 500, 'sample_size': 16, 'save_itr': 500, 'smoothing': 1.0, 'style_net_checkpoint': None, 'train': True, 'train_size': inf, 'use_default_checkpoint': False, 'use_resize': True, 'use_s3': False, 'visualize': True, 'wgan': False} After processing flags {'allow_gpu_growth': False, 'batch_size': 16, 'beta1': 0.5, 'can': True, 'checkpoint_dir': 'logs\\dataset=wikiart,isCan=True,lr=0.0001,imsize=32,hasStyleNet=False,batch_size=16\\000\\checkpoint', 'crop': False, 'dataset': 'wikiart', 'epoch': 25, 'input_fname_pattern': '*/*.jpg', 'input_height': 32, 'input_width': 32, 'lambda_val': 1.0, 'learning_rate': 0.0001, 'load_dir': None, 'log_dir': 'logs\\dataset=wikiart,isCan=True,lr=0.0001,imsize=32,hasStyleNet=False,batch_size=16\\000', 'output_height': 32, 'output_width': 32, 'replay': True, 's3_bucket': None, 'sample_dir': 'logs\\dataset=wikiart,isCan=True,lr=0.0001,imsize=32,hasStyleNet=False,batch_size=16\\000\\samples', 'sample_itr': 500, 'sample_size': 16, 'save_itr': 500, 'smoothing': 1.0, 'style_net_checkpoint': None, 'train': True, 'train_size': inf, 'use_default_checkpoint': True, 'use_resize': True, 'use_s3': False, 'visualize': True, 'wgan': False} Abstract_Expressionism Action_painting Analytical_Cubism Art_Nouveau_Modern Baroque Color_Field_Painting Contemporary_Realism Cubism Early_Renaissance Expressionism Fauvism High_Renaissance Impressionism Mannerism_Late_Renaissance Minimalism Naive_Art_Primitivism New_Realism Northern_Renaissance Pointillism Pop_Art Post_Impressionism Realism Rococo Romanticism Symbolism Synthetic_Cubism Ukiyo_e 2018-10-28 14:36:09.248951: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\platform\cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX 2018-10-28 14:36:09.514326: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Found device 0 with properties: name: GeForce GTX 980 major: 5 minor: 2 memoryClockRate(GHz): 1.291 pciBusID: 0000:01:00.0 totalMemory: 4.00GiB freeMemory: 3.29GiB 2018-10-28 14:36:09.527564: I C:\tf_jenkins\home\workspace\rel-win\M\windows-gpu\PY\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 980, pci bus id: 0000:01:00.0, compute capability: 5.2) Traceback (most recent call last): File "main.py", line 156, in <module> tf.app.run() File "C:\Users\castle\Envs\can\lib\site-packages\tensorflow\python\platform\app.py", line 48, in run _sys.exit(main(_sys.argv[:1] + flags_passthrough)) File "main.py", line 147, in main dcgan.train(FLAGS) File "D:\fakes\CAN_origin\model.py", line 223, in train sample_labels = self.get_y(sample_files) File "D:\fakes\CAN_origin\model.py", line 453, in get_y _, _, _, lab_str, _ = sample.split('/', 4) ValueError: not enough values to unpack (expected 5, got 2)
The text was updated successfully, but these errors were encountered:
@Ianmcmill Hi lanmcmill, have you tried it on Linux?
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@Ianmcmill Hi lanmcmill! Are you still working on this project? I'm working on it on Google Colab. Would you like to work together?
Best,
Amber Ji
No branches or pull requests
I am trying to run this on windows 10.
Python 3.6 64bit
tensorflow-gpu 1.4.0
With wikiart in ./data/wikiart
When runnning:
python main.py --epoch 25 --learning_rate .0001 --beta 0.5 --batch_size 16 --sample_size 16 --input_height 32 --output_height 32 --lambda_val 1.0 --smoothing 1.0 --use_resize True --dataset wikiart --input_fname_pattern */*.jpg --crop False --visualize True --can True --train True
I get:
The text was updated successfully, but these errors were encountered: