Add ResMLP-24 model weights that I trained in PyTorch XLA on TPU-VM. 79.2 top-1.

timm/models/mlp_mixer.py

@@ -80,6 +80,7 @@ default_cfgs = dict(
         url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-vitjx/jx_mixer_l16_224_in21k-846aa33c.pth',
         num_classes=21843
     ),
+
     # Mixer ImageNet-21K-P pretraining
     mixer_b16_224_miil_in21k=_cfg(
         url='https://miil-public-eu.oss-eu-central-1.aliyuncs.com/model-zoo/ImageNet_21K_P/models/timm/mixer_b16_224_miil_in21k.pth',
@@ -94,7 +95,9 @@ default_cfgs = dict(
     gmixer_24_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
 
     resmlp_12_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
-    resmlp_24_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
+    resmlp_24_224=_cfg(
+        url='https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resmlp_24_224_raa-a8256759.pth',
+        mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD, crop_pct=0.89),
     resmlp_36_224=_cfg(mean=IMAGENET_DEFAULT_MEAN, std=IMAGENET_DEFAULT_STD),
 
     gmlp_ti16_224=_cfg(),