szha commented on a change in pull request #9633: Gluon image-classification
example improvement
URL: https://github.com/apache/incubator-mxnet/pull/9633#discussion_r164932130
##########
File path: example/gluon/image_classification.py
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@@ -62,63 +75,85 @@
help='enable batch normalization or not in vgg. default is
false.')
parser.add_argument('--use-pretrained', action='store_true',
help='enable using pretrained model from gluon.')
+parser.add_argument('--prefix', default='', type=str,
+ help='path to checkpoint prefix, default is current
working dir')
+parser.add_argument('--start-epoch', default=0, type=int,
+ help='starting epoch, 0 for fresh training, > 0 to resume')
+parser.add_argument('--resume', type=str, default='',
+ help='path to saved weight where you want resume')
+parser.add_argument('--lr-factor', default=0.1, type=float,
+ help='learning rate decay ratio')
+parser.add_argument('--lr-steps', default='30,60,90', type=str,
+ help='list of learning rate decay epochs as in str')
+parser.add_argument('--dtype', default='float32', type=str,
+ help='data type, float32 or float16 if applicable')
+parser.add_argument('--save-frequency', default=10, type=int,
+ help='model save frequent, best model will always be
saved')
Review comment:
what's the unit? batch?
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