[GitHub] solin319 commented on a change in pull request #8414: Fix the strides in Gluon version of ResNet v1

[GitBox <gi...@apache.org>]

solin319 commented on a change in pull request #8414: Fix the strides in Gluon version of ResNet v1
URL: https://github.com/apache/incubator-mxnet/pull/8414#discussion_r152446834
 
 

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 File path: python/mxnet/gluon/model_zoo/vision/resnet.py
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 @@ -102,10 +102,10 @@ class BottleneckV1(HybridBlock):
     def __init__(self, channels, stride, downsample=False, in_channels=0, **kwargs):
         super(BottleneckV1, self).__init__(**kwargs)
         self.body = nn.HybridSequential(prefix='')
-        self.body.add(nn.Conv2D(channels//4, kernel_size=1, strides=1))
+        self.body.add(nn.Conv2D(channels//4, kernel_size=1, strides=stride))
 
 Review comment:
   1. How about add 'use_bias=False' in Conv2D? This will make resnet faster.
      The effect of bias in convolution is same as beta in the next batchnorm.
   2. Does (2,2) stride set in 1*1 conv or 3*3 conv will effect the final accuracy of resnet? In 1*1 conv, (2,2) stride will loss some pixels in feature map.
   

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