hunk.code_window:         return x
   class VisionTransformerRelPos(nn.Module):
       """ Vision Transformer w/ Relative Position Bias
       """
       def __init__(
               self, img_size=224, patch_size=16, in_chans=3, num_classes=1000, global_pool='avg',
  
hunk.labels: keep keep keep keep add keep keep keep keep
hunk.after_edit:     Differing from classic vit, this impl
         * uses relative position index (swin v1 / beit) or relative log coord + mlp (swin v2) pos embed
         * defaults to no class token (can be enabled)
         * defaults to global avg pool for head (can be changed)
         * layer-scale (residual branch gain) enabled
  
hunk.file_path: timm/models/vision_transformer_relpos.py
hunk.type: add
file: torch>=1.4.0
  torchvision>=0.5.0
  pyyaml
  