Comments (1)
tonylins
commented on July 17, 2024
Hi, adding a normalization layer inside the separable convolution is also quite common practice (e.g., see https://github.com/pytorch/vision/blob/master/torchvision/models/mobilenet.py#L58), and it should not affect the performance too much.
The norm_layer(in_channels) seems to be a bug here, it should be norm_layer(in_channels * scale_factor). Since we always use scale_factor=1, the bug is not exposed. Thanks for pointing out and we will fix it soon.
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