From f227b88831b55ba0bec754c92c2a279f2c5ecd3e Mon Sep 17 00:00:00 2001
From: Christoph Reich <34400551+ChristophReich1996@users.noreply.github.com>
Date: Sat, 19 Feb 2022 22:14:38 +0100
Subject: [PATCH] Add initials (CR) to model and file

---
 .../{swin_transformer_v2.py => swin_transformer_v2_cr.py}     | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)
 rename timm/models/{swin_transformer_v2.py => swin_transformer_v2_cr.py} (99%)

diff --git a/timm/models/swin_transformer_v2.py b/timm/models/swin_transformer_v2_cr.py
similarity index 99%
rename from timm/models/swin_transformer_v2.py
rename to timm/models/swin_transformer_v2_cr.py
index c146ecc8..d7c36519 100644
--- a/timm/models/swin_transformer_v2.py
+++ b/timm/models/swin_transformer_v2_cr.py
@@ -785,7 +785,7 @@ class SwinTransformerStage(nn.Module):
         return output
 
 
-class SwinTransformerV2(nn.Module):
+class SwinTransformerV2CR(nn.Module):
     r""" Swin Transformer V2
         A PyTorch impl of : `Swin Transformer V2: Scaling Up Capacity and Resolution`  -
           https://arxiv.org/pdf/2111.09883
@@ -825,7 +825,7 @@ class SwinTransformerV2(nn.Module):
                  sequential_self_attention: bool = False,
                  use_deformable_block: bool = False) -> None:
         # Call super constructor
-        super(SwinTransformerV2, self).__init__()
+        super(SwinTransformerV2CR, self).__init__()
         # Save parameters
         self.patch_size: int = patch_size
         self.input_resolution: Tuple[int, int] = input_resolution