Add DeiT-III 'medium' model defs and weights

timm/models/deit.py

@@ -64,6 +64,8 @@ default_cfgs = {
     'deit3_small_patch16_384': _cfg(
         url='https://dl.fbaipublicfiles.com/deit/deit_3_small_384_1k.pth',
         input_size=(3, 384, 384), crop_pct=1.0),
+    'deit3_medium_patch16_224': _cfg(
+        url='https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_1k.pth'),
     'deit3_base_patch16_224': _cfg(
         url='https://dl.fbaipublicfiles.com/deit/deit_3_base_224_1k.pth'),
     'deit3_base_patch16_384': _cfg(
@@ -83,6 +85,9 @@ default_cfgs = {
     'deit3_small_patch16_384_in21ft1k': _cfg(
         url='https://dl.fbaipublicfiles.com/deit/deit_3_small_384_21k.pth',
         input_size=(3, 384, 384), crop_pct=1.0),
+    'deit3_medium_patch16_224_in21ft1k': _cfg(
+        url='https://dl.fbaipublicfiles.com/deit/deit_3_medium_224_21k.pth',
+        crop_pct=1.0),
     'deit3_base_patch16_224_in21ft1k': _cfg(
         url='https://dl.fbaipublicfiles.com/deit/deit_3_base_224_21k.pth',
         crop_pct=1.0),
@@ -290,6 +295,17 @@ def deit3_small_patch16_384(pretrained=False, **kwargs):
     return model
 
 
+@register_model
+def deit3_medium_patch16_224(pretrained=False, **kwargs):
+    """ DeiT-3 medium model @ 224x224 (https://arxiv.org/abs/2012.12877).
+    ImageNet-1k weights from https://github.com/facebookresearch/deit.
+    """
+    model_kwargs = dict(
+        patch_size=16, embed_dim=512, depth=12, num_heads=8, no_embed_class=True, init_values=1e-6, **kwargs)
+    model = _create_deit('deit3_medium_patch16_224', pretrained=pretrained, **model_kwargs)
+    return model
+
+
 @register_model
 def deit3_base_patch16_224(pretrained=False, **kwargs):
     """ DeiT-3 base model @ 224x224 from paper (https://arxiv.org/abs/2204.07118).
@@ -367,6 +383,17 @@ def deit3_small_patch16_384_in21ft1k(pretrained=False, **kwargs):
     return model
 
 
+@register_model
+def deit3_medium_patch16_224_in21ft1k(pretrained=False, **kwargs):
+    """ DeiT-3 medium model @ 224x224 (https://arxiv.org/abs/2012.12877).
+    ImageNet-1k weights from https://github.com/facebookresearch/deit.
+    """
+    model_kwargs = dict(
+        patch_size=16, embed_dim=512, depth=12, num_heads=8, no_embed_class=True, init_values=1e-6, **kwargs)
+    model = _create_deit('deit3_medium_patch16_224_in21ft1k', pretrained=pretrained, **model_kwargs)
+    return model
+
+
 @register_model
 def deit3_base_patch16_224_in21ft1k(pretrained=False, **kwargs):
     """ DeiT-3 base model @ 224x224 from paper (https://arxiv.org/abs/2204.07118).