Fix bottleneck attn transpose typo, hopefully these train better now..

timm/models/layers/bottleneck_attn.py

@@ -122,7 +122,7 @@ class BottleneckAttn(nn.Module):
         attn_logits = attn_logits + self.pos_embed(q)  # B, num_heads, H * W, H * W
 
         attn_out = attn_logits.softmax(dim=-1)
-        attn_out = (attn_out @ v).transpose(1, 2).reshape(B, self.dim_out, H, W)  # B, dim_out, H, W
+        attn_out = (attn_out @ v).transpose(-1, -2).reshape(B, self.dim_out, H, W)  # B, dim_out, H, W
         attn_out = self.pool(attn_out)
         return attn_out