Replace 2 transpose() with 1 permute in TransformerBlock()` (#5645)
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@@ -86,8 +86,8 @@ class TransformerBlock(nn.Module):
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if self.conv is not None:
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x = self.conv(x)
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b, _, w, h = x.shape
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p = x.flatten(2).unsqueeze(0).transpose(0, 3).squeeze(3)
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return self.tr(p + self.linear(p)).unsqueeze(3).transpose(0, 3).reshape(b, self.c2, w, h)
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p = x.flatten(2).permute(2, 0, 1)
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return self.tr(p + self.linear(p)).permute(1, 2, 0).reshape(b, self.c2, w, h)
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class Bottleneck(nn.Module):
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