Fix typos.

docs/changes.md

@@ -27,7 +27,7 @@
 * Add CoaT models and weights. Thanks [Mohammed Rizin](https://github.com/morizin)
 * Add new ImageNet-21k weights & finetuned weights for TResNet, MobileNet-V3, ViT models. Thanks [mrT](https://github.com/mrT23)
 * Add GhostNet models and weights. Thanks [Kai Han](https://github.com/iamhankai)
-* Update ByoaNet attention modles
+* Update ByoaNet attention modules
    * Improve SA module inits
    * Hack together experimental stand-alone Swin based attn module and `swinnet`
    * Consistent '26t' model defs for experiments.

inference.py

@@ -38,7 +38,7 @@ parser.add_argument('--input-size', default=None, nargs=3, type=int,
 parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',
                     help='Override mean pixel value of dataset')
 parser.add_argument('--std', type=float, nargs='+', default=None, metavar='STD',
-                    help='Override std deviation of of dataset')
+                    help='Override std deviation of dataset')
 parser.add_argument('--interpolation', default='', type=str, metavar='NAME',
                     help='Image resize interpolation type (overrides model)')
 parser.add_argument('--num-classes', type=int, default=1000,

timm/models/sknet.py

@@ -55,7 +55,7 @@ class SelectiveKernelBasic(nn.Module):
         sk_kwargs = sk_kwargs or {}
         conv_kwargs = dict(act_layer=act_layer, norm_layer=norm_layer)
         assert cardinality == 1, 'BasicBlock only supports cardinality of 1'
-        assert base_width == 64, 'BasicBlock doest not support changing base width'
+        assert base_width == 64, 'BasicBlock does not support changing base width'
         first_planes = planes // reduce_first
         outplanes = planes * self.expansion
         first_dilation = first_dilation or dilation

timm/models/xception.py

@@ -12,7 +12,7 @@ https://arxiv.org/pdf/1610.02357.pdf
 
 This weights ported from the Keras implementation. Achieves the following performance on the validation set:
 
-Loss:0.9173 Prec@1:78.892 Prec@5:94.292
+Loss:0.9173 Acc@1:78.892 Acc@5:94.292
 
 REMEMBER to set your image size to 3x299x299 for both test and validation
 

validate.py

@@ -66,7 +66,7 @@ parser.add_argument('--crop-pct', default=None, type=float,
 parser.add_argument('--mean', type=float, nargs='+', default=None, metavar='MEAN',
                     help='Override mean pixel value of dataset')
 parser.add_argument('--std', type=float,  nargs='+', default=None, metavar='STD',
-                    help='Override std deviation of of dataset')
+                    help='Override std deviation of dataset')
 parser.add_argument('--interpolation', default='', type=str, metavar='NAME',
                     help='Image resize interpolation type (overrides model)')
 parser.add_argument('--num-classes', type=int, default=None,