Rethink name of patch embed grid info

Author: rwightman

timm/models/coat.py

@@ -490,7 +490,7 @@ def forward_features(self, x0):
 
         # Serial blocks 1.
         x1 = self.patch_embed1(x0)
-        H1, W1 = self.patch_embed1.out_size
+        H1, W1 = self.patch_embed1.grid_size
         x1 = self.insert_cls(x1, self.cls_token1)
         for blk in self.serial_blocks1:
             x1 = blk(x1, size=(H1, W1))
@@ -499,7 +499,7 @@ def forward_features(self, x0):
 
         # Serial blocks 2.
         x2 = self.patch_embed2(x1_nocls)
-        H2, W2 = self.patch_embed2.out_size
+        H2, W2 = self.patch_embed2.grid_size
         x2 = self.insert_cls(x2, self.cls_token2)
         for blk in self.serial_blocks2:
             x2 = blk(x2, size=(H2, W2))
@@ -508,7 +508,7 @@ def forward_features(self, x0):
 
         # Serial blocks 3.
         x3 = self.patch_embed3(x2_nocls)
-        H3, W3 = self.patch_embed3.out_size
+        H3, W3 = self.patch_embed3.grid_size
         x3 = self.insert_cls(x3, self.cls_token3)
         for blk in self.serial_blocks3:
             x3 = blk(x3, size=(H3, W3))
@@ -517,7 +517,7 @@ def forward_features(self, x0):
 
         # Serial blocks 4.
         x4 = self.patch_embed4(x3_nocls)
-        H4, W4 = self.patch_embed4.out_size
+        H4, W4 = self.patch_embed4.grid_size
         x4 = self.insert_cls(x4, self.cls_token4)
         for blk in self.serial_blocks4:
             x4 = blk(x4, size=(H4, W4))

timm/models/layers/patch_embed.py

@@ -21,8 +21,8 @@ def __init__(self, img_size=224, patch_size=16, in_chans=3, embed_dim=768, norm_
         patch_size = to_2tuple(patch_size)
         self.img_size = img_size
         self.patch_size = patch_size
-        self.out_size = (img_size[0] // patch_size[0], img_size[1] // patch_size[1])
-        self.num_patches = self.out_size[0] * self.out_size[1]
+        self.grid_size = (img_size[0] // patch_size[0], img_size[1] // patch_size[1])
+        self.num_patches = self.grid_size[0] * self.grid_size[1]
 
         self.proj = nn.Conv2d(in_chans, embed_dim, kernel_size=patch_size, stride=patch_size)
         self.norm = norm_layer(embed_dim) if norm_layer else nn.Identity()

timm/models/swin_transformer.py

@@ -467,7 +467,7 @@ def __init__(self, img_size=224, patch_size=4, in_chans=3, num_classes=1000,
             img_size=img_size, patch_size=patch_size, in_chans=in_chans, embed_dim=embed_dim,
             norm_layer=norm_layer if self.patch_norm else None)
         num_patches = self.patch_embed.num_patches
-        self.patch_grid = self.patch_embed.out_size
+        self.patch_grid = self.patch_embed.grid_size
 
         # absolute position embedding
         if self.ape: