atriumlts / subpixel

subpixel: A subpixel convnet for super resolution with Tensorflow

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Testing the model

mowaleed96 opened this issue · comments

After training the model with the following line
python main.py --dataset celebA --is_train true --is_crop true
how can I test the model?

I've tried python main.py --dataset celebA --is_train false but it just print this
{'batch_size': 64, 'beta1': 0.5, 'checkpoint_dir': 'checkpoint', 'dataset': 'celebA', 'epoch': 25, 'gpu': '0', 'image_size': 128, 'is_crop': True, 'is_train': False, 'learning_rate': 0.0002, 'sample_dir': 'samples', 'train_size': inf, 'visualize': False} 2017-12-07 20:30:13.309369: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2017-12-07 20:30:13.415852: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:892] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2017-12-07 20:30:13.416285: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Found device 0 with properties: name: GeForce 840M major: 5 minor: 0 memoryClockRate(GHz): 1.124 pciBusID: 0000:08:00.0 totalMemory: 1.96GiB freeMemory: 1.55GiB 2017-12-07 20:30:13.416310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1120] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce 840M, pci bus id: 0000:08:00.0, compute capability: 5.0) [*] Reading checkpoints...
then it terminats.