Initial commit

config_utils/attention_args.py

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+import random, argparse
+from .share_args import add_shared_args
+
+def obtain_attention_args():
+  parser = argparse.ArgumentParser(description='Train a classification model on typical image classification datasets.', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
+  parser.add_argument('--resume'      ,     type=str,                   help='Resume path.')
+  parser.add_argument('--init_model'  ,     type=str,                   help='The initialization model path.')
+  parser.add_argument('--model_config',     type=str,                   help='The path to the model configuration')
+  parser.add_argument('--optim_config',     type=str,                   help='The path to the optimizer configuration')
+  parser.add_argument('--procedure'   ,     type=str,                   help='The procedure basic prefix.')
+  parser.add_argument('--att_channel' ,     type=int,                   help='.')
+  parser.add_argument('--att_spatial' ,     type=str,                   help='.')
+  parser.add_argument('--att_active'  ,     type=str,                   help='.')
+  add_shared_args( parser )
+  # Optimization options
+  parser.add_argument('--batch_size',       type=int,   default=2,      help='Batch size for training.')
+  args = parser.parse_args()
+
+  if args.rand_seed is None or args.rand_seed < 0:
+    args.rand_seed = random.randint(1, 100000)
+  assert args.save_dir is not None, 'save-path argument can not be None'
+  return args