@ -311,8 +311,6 @@ class Twins(nn.Module):
self.patch_embeds.append(
PatchEmbed(img_size // patch_size // s, strides[i-1], embed_dims[i - 1], embed_dims[i]))
s = s * strides[i-1]
if self.task == 'cls':
del self.norm_list
self.blocks = nn.ModuleList()
dpr = [x.item() for x in torch.linspace(0, drop_path_rate, sum(depths))] # stochastic depth decay rule