Yaoyi-Li
commented
4 years ago My suggestion is to modify the .toml file instead. Config.py only has default values and will be overwrited by .toml.
I think the code will only print config details once by default, but in your logs there are two different configurations. Does that mean the code print config details twice at the same time?
It will be helpful if you can provide more information about how you modified config.py.
It looks like you assigned values to global variables like 'gpu': [0, 1]. The value of these global variables will be overwritten by the code at runtime, so you dont need to set these values.
kelisiya
stevesrh
When I want to modify the config.py in my datasets , the error is
FileNotFoundError: [Errno 2] No such file or directory: '/home/liyaoyi/dataset/coco_bg'But I modified the path and printed this function:{'data': {'augmentation': True, 'crop_size': 512, 'random_interp': False, 'test_alpha': '/data/Adobe_Dataset/Test_set/comp/alpha', 'test_merged': '/data/Adobe_Dataset/Test_set/comp/image', 'test_trimap': '/data/Adobe_Dataset/Test_set/comp/trimap', 'train_alpha': '/data/Adobe_Dataset/Training_set/all/alpha', 'train_bg': '/data/Adobe_Dataset/background_all', 'train_fg': '/data/Adobe_Dataset/Training_set/all/fg', 'workers': 0}, 'dist': False, 'gpu': [0, 1], 'is_default': True, 'local_rank': 0, 'log': {'checkpoint_path': './checkpoints', 'checkpoint_step': 10000, 'logging_level': 'DEBUG', 'logging_path': './logs/stdout', 'logging_step': 10, 'tensorboard_image_step': 500, 'tensorboard_path': './logs/tensorboard', 'tensorboard_step': 100}, 'model': {'arch': {'decoder': 'res_shortcut_decoder_22', 'discriminator': None, 'encoder': 'res_shortcut_encoder_29'}, 'batch_size': 16, 'imagenet_pretrain': True, 'imagenet_pretrain_path': './pretrain/gca-dist.pth', 'trimap_channel': 3}, 'phase': 'train', 'test': {'alpha': None, 'alpha_path': None, 'batch_size': 1, 'checkpoint': 'best_model', 'cpu': False, 'fast_eval': True, 'merged': None, 'scale': 'origin', 'trimap': None}, 'train': {'G_lr': 0.001, 'beta1': 0.5, 'beta2': 0.999, 'clip_grad': True, 'comp_weight': 0, 'gabor_weight': 0, 'grad_weight': 0, 'rec_weight': 1, 'reset_lr': False, 'resume_checkpoint': None, 'smooth_l1_weight': 0, 'total_step': 100000, 'val_step': 1000, 'warmup_step': 5000}, 'version': 'baseline', 'world_size': 1} {'data': {'augmentation': True, 'crop_size': 512, 'random_interp': False, 'test_alpha': '/home/liyaoyi/dataset/Adobe/Combined_Dataset/Test_set/alpha_copy', 'test_merged': '/home/liyaoyi/dataset/Adobe/Combined_Dataset/Test_set/merged', 'test_trimap': '/home/liyaoyi/dataset/Adobe/Combined_Dataset/Test_set/trimaps', 'train_alpha': '/home/liyaoyi/dataset/Adobe/train/alpha', 'train_bg': '/home/liyaoyi/dataset/coco_bg', 'train_fg': '/home/liyaoyi/dataset/Adobe/train/fg', 'workers': 4}, 'dist': True, 'gpu': [0, 1], 'is_default': False, 'local_rank': 0, 'log': {'checkpoint_path': './checkpoints', 'checkpoint_step': 2000, 'logging_level': 'INFO', 'logging_path': './logs/stdout', 'logging_step': 10, 'tensorboard_image_step': 2000, 'tensorboard_path': './logs/tensorboard', 'tensorboard_step': 100}, 'model': {'arch': {'decoder': 'res_gca_decoder_22', 'discriminator': None, 'encoder': 'resnet_gca_encoder_29'}, 'batch_size': 10, 'imagenet_pretrain': True, 'imagenet_pretrain_path': 'pretrain/model_best_resnet34_En_nomixup.pth', 'trimap_channel': 3}, 'phase': 'train', 'test': {'alpha': '/home/liyaoyi/dataset/Adobe/Combined_Dataset/Test_set/alpha_copy', 'alpha_path': 'prediction', 'batch_size': 1, 'checkpoint': 'gca-dist', 'cpu': False, 'fast_eval': True, 'merged': '/home/liyaoyi/dataset/Adobe/Combined_Dataset/Test_set/merged', 'scale': 'origin', 'trimap': '/home/liyaoyi/dataset/Adobe/Combined_Dataset/Test_set/trimaps'}, 'train': {'G_lr': 0.0004, 'beta1': 0.5, 'beta2': 0.999, 'clip_grad': True, 'comp_weight': 0, 'gabor_weight': 0, 'grad_weight': 0, 'rec_weight': 1, 'reset_lr': False, 'resume_checkpoint': None, 'smooth_l1_weight': 0, 'total_step': 200000, 'val_step': 2000, 'warmup_step': 5000}, 'version': 'gca-dist', 'world_size': 1}There are two different result in path , what's the error ?