Models 1-25 (build:184)

[kvfairchild]

This is the feature branch for the models 1-25.

Here is the status of the following 25 models. If there is a check, that means Layer Mapping is complete!

• cvt_cvt-w24-384-in22k_finetuned-in1k_4 (rank 1)
• resnext101_32x8d_wsl(rank 2)
• effnetb1_cutmixpatch_SAM_robust32_avge6e8e9e10_manylayers_324x288 (rank 3) -> ran out of RAM
• effnetb1_cutmixpatch_augmix_robust32_avge4e7_manylayers_324x288 (rank 4) -> ran out of RAM
• resnext101_32x32d_wsl (rank 5)
• effnetb1_272x240 (rank 6)
• resnext101_32x48d_wsl (rank 7)
• pnasnet_large (rank 8) -> TF Model
• resnet-152_v2 (rank 9) -> TF Model
• focalnet_tiny_lrf_in1k (rank 10)
• resnext101_32x16d_wsl (rank 11)
• resnet50_finetune_cutmix_e3_robust_linf8255_e0_247x234 (rank 12) -> MISSING PR
• effnetb1_cutmix_augmix_sam_e1_5avg_424x377(rank 13)
• nasnet_large (rank 14) -> TF Model
• fixres_resnext101_32x48d_wsl (rank 15) -> ran out of RAM
• antialias-resnet152 (rank 16)
• custom_model_cv_18_dagger_408 (rank 17)
• resnet50-VITO-8deg-cc (rank 18) -> MISSING PR
• resnet-50_v2 (rank 19) -> MISSING PR
• inception_v4 (rank 20) -> TF Model
• antialiased-rnext101_32x8d (rank 21)
• densenet-201 (rank 22) -> TF Model
• cv_18_dagger_408_pretrained (rank 23)
• inception_v3 (rank 24) -> TF Model
• AdvProp_efficientnet-b6 (rank 25)

[KartikP]

@mike-ferguson This branch hasn't been merged. Probably good to bring it what was successful.