Open Ianmcmill opened 5 years ago
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)
@Ianmcmill Hi lanmcmill, have you tried it on Linux?
@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
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: