🎯 Timm Encoders
~~~~~~~~~~~~~~~~

Pytorch Image Models (a.k.a. timm) has a lot of pretrained models and interface which allows using these models as encoders in smp,
however, not all models are supported

 - not all transformer models have ``features_only`` functionality implemented that is required for encoder
 - some models have inappropriate strides

Below is a table of suitable encoders (for DeepLabV3, DeepLabV3+, and PAN dilation support is needed also)

Total number of encoders: 549

.. note::

    To use following encoders you have to add prefix ``tu-``, e.g. ``tu-adv_inception_v3``


+----------------------------------+------------------+
| Encoder name                     | Support dilation |
+==================================+==================+
| SelecSls42                       |                  |
+----------------------------------+------------------+
| SelecSls42b                      |                  |
+----------------------------------+------------------+
| SelecSls60                       |                  |
+----------------------------------+------------------+
| SelecSls60b                      |                  |
+----------------------------------+------------------+
| SelecSls84                       |                  |
+----------------------------------+------------------+
| bat_resnext26ts                  |        ✅        |
+----------------------------------+------------------+
| botnet26t_256                    |        ✅        |
+----------------------------------+------------------+
| botnet50ts_256                   |        ✅        |
+----------------------------------+------------------+
| coatnet_0_224                    |                  |
+----------------------------------+------------------+
| coatnet_0_rw_224                 |                  |
+----------------------------------+------------------+
| coatnet_1_224                    |                  |
+----------------------------------+------------------+
| coatnet_1_rw_224                 |                  |
+----------------------------------+------------------+
| coatnet_2_224                    |                  |
+----------------------------------+------------------+
| coatnet_2_rw_224                 |                  |
+----------------------------------+------------------+
| coatnet_3_224                    |                  |
+----------------------------------+------------------+
| coatnet_3_rw_224                 |                  |
+----------------------------------+------------------+
| coatnet_4_224                    |                  |
+----------------------------------+------------------+
| coatnet_5_224                    |                  |
+----------------------------------+------------------+
| coatnet_bn_0_rw_224              |                  |
+----------------------------------+------------------+
| coatnet_nano_cc_224              |                  |
+----------------------------------+------------------+
| coatnet_nano_rw_224              |                  |
+----------------------------------+------------------+
| coatnet_pico_rw_224              |                  |
+----------------------------------+------------------+
| coatnet_rmlp_0_rw_224            |                  |
+----------------------------------+------------------+
| coatnet_rmlp_1_rw2_224           |                  |
+----------------------------------+------------------+
| coatnet_rmlp_1_rw_224            |                  |
+----------------------------------+------------------+
| coatnet_rmlp_2_rw_224            |                  |
+----------------------------------+------------------+
| coatnet_rmlp_2_rw_384            |                  |
+----------------------------------+------------------+
| coatnet_rmlp_3_rw_224            |                  |
+----------------------------------+------------------+
| coatnet_rmlp_nano_rw_224         |                  |
+----------------------------------+------------------+
| coatnext_nano_rw_224             |                  |
+----------------------------------+------------------+
| cs3darknet_focus_l               |        ✅        |
+----------------------------------+------------------+
| cs3darknet_focus_m               |        ✅        |
+----------------------------------+------------------+
| cs3darknet_focus_s               |        ✅        |
+----------------------------------+------------------+
| cs3darknet_focus_x               |        ✅        |
+----------------------------------+------------------+
| cs3darknet_l                     |        ✅        |
+----------------------------------+------------------+
| cs3darknet_m                     |        ✅        |
+----------------------------------+------------------+
| cs3darknet_s                     |        ✅        |
+----------------------------------+------------------+
| cs3darknet_x                     |        ✅        |
+----------------------------------+------------------+
| cs3edgenet_x                     |        ✅        |
+----------------------------------+------------------+
| cs3se_edgenet_x                  |        ✅        |
+----------------------------------+------------------+
| cs3sedarknet_l                   |        ✅        |
+----------------------------------+------------------+
| cs3sedarknet_x                   |        ✅        |
+----------------------------------+------------------+
| cs3sedarknet_xdw                 |        ✅        |
+----------------------------------+------------------+
| cspresnet50                      |        ✅        |
+----------------------------------+------------------+
| cspresnet50d                     |        ✅        |
+----------------------------------+------------------+
| cspresnet50w                     |        ✅        |
+----------------------------------+------------------+
| cspresnext50                     |        ✅        |
+----------------------------------+------------------+
| densenet121                      |                  |
+----------------------------------+------------------+
| densenet161                      |                  |
+----------------------------------+------------------+
| densenet169                      |                  |
+----------------------------------+------------------+
| densenet201                      |                  |
+----------------------------------+------------------+
| densenet264d                     |                  |
+----------------------------------+------------------+
| densenetblur121d                 |                  |
+----------------------------------+------------------+
| dla102                           |                  |
+----------------------------------+------------------+
| dla102x                          |                  |
+----------------------------------+------------------+
| dla102x2                         |                  |
+----------------------------------+------------------+
| dla169                           |                  |
+----------------------------------+------------------+
| dla34                            |                  |
+----------------------------------+------------------+
| dla46_c                          |                  |
+----------------------------------+------------------+
| dla46x_c                         |                  |
+----------------------------------+------------------+
| dla60                            |                  |
+----------------------------------+------------------+
| dla60_res2net                    |                  |
+----------------------------------+------------------+
| dla60_res2next                   |                  |
+----------------------------------+------------------+
| dla60x                           |                  |
+----------------------------------+------------------+
| dla60x_c                         |                  |
+----------------------------------+------------------+
| dm_nfnet_f0                      |        ✅        |
+----------------------------------+------------------+
| dm_nfnet_f1                      |        ✅        |
+----------------------------------+------------------+
| dm_nfnet_f2                      |        ✅        |
+----------------------------------+------------------+
| dm_nfnet_f3                      |        ✅        |
+----------------------------------+------------------+
| dm_nfnet_f4                      |        ✅        |
+----------------------------------+------------------+
| dm_nfnet_f5                      |        ✅        |
+----------------------------------+------------------+
| dm_nfnet_f6                      |        ✅        |
+----------------------------------+------------------+
| dpn107                           |                  |
+----------------------------------+------------------+
| dpn131                           |                  |
+----------------------------------+------------------+
| dpn48b                           |                  |
+----------------------------------+------------------+
| dpn68                            |                  |
+----------------------------------+------------------+
| dpn68b                           |                  |
+----------------------------------+------------------+
| dpn92                            |                  |
+----------------------------------+------------------+
| dpn98                            |                  |
+----------------------------------+------------------+
| eca_botnext26ts_256              |        ✅        |
+----------------------------------+------------------+
| eca_halonext26ts                 |        ✅        |
+----------------------------------+------------------+
| eca_nfnet_l0                     |        ✅        |
+----------------------------------+------------------+
| eca_nfnet_l1                     |        ✅        |
+----------------------------------+------------------+
| eca_nfnet_l2                     |        ✅        |
+----------------------------------+------------------+
| eca_nfnet_l3                     |        ✅        |
+----------------------------------+------------------+
| eca_resnet33ts                   |        ✅        |
+----------------------------------+------------------+
| eca_resnext26ts                  |        ✅        |
+----------------------------------+------------------+
| eca_vovnet39b                    |                  |
+----------------------------------+------------------+
| ecaresnet101d                    |        ✅        |
+----------------------------------+------------------+
| ecaresnet101d_pruned             |        ✅        |
+----------------------------------+------------------+
| ecaresnet200d                    |        ✅        |
+----------------------------------+------------------+
| ecaresnet269d                    |        ✅        |
+----------------------------------+------------------+
| ecaresnet26t                     |        ✅        |
+----------------------------------+------------------+
| ecaresnet50d                     |        ✅        |
+----------------------------------+------------------+
| ecaresnet50d_pruned              |        ✅        |
+----------------------------------+------------------+
| ecaresnet50t                     |        ✅        |
+----------------------------------+------------------+
| ecaresnetlight                   |        ✅        |
+----------------------------------+------------------+
| ecaresnext26t_32x4d              |        ✅        |
+----------------------------------+------------------+
| ecaresnext50t_32x4d              |        ✅        |
+----------------------------------+------------------+
| efficientnet_b0                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b0_g16_evos         |        ✅        |
+----------------------------------+------------------+
| efficientnet_b0_g8_gn            |        ✅        |
+----------------------------------+------------------+
| efficientnet_b0_gn               |        ✅        |
+----------------------------------+------------------+
| efficientnet_b1                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b1_pruned           |        ✅        |
+----------------------------------+------------------+
| efficientnet_b2                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b2_pruned           |        ✅        |
+----------------------------------+------------------+
| efficientnet_b2a                 |        ✅        |
+----------------------------------+------------------+
| efficientnet_b3                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b3_g8_gn            |        ✅        |
+----------------------------------+------------------+
| efficientnet_b3_gn               |        ✅        |
+----------------------------------+------------------+
| efficientnet_b3_pruned           |        ✅        |
+----------------------------------+------------------+
| efficientnet_b3a                 |        ✅        |
+----------------------------------+------------------+
| efficientnet_b4                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b5                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b6                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b7                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_b8                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_cc_b0_4e            |        ✅        |
+----------------------------------+------------------+
| efficientnet_cc_b0_8e            |        ✅        |
+----------------------------------+------------------+
| efficientnet_cc_b1_8e            |        ✅        |
+----------------------------------+------------------+
| efficientnet_el                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_el_pruned           |        ✅        |
+----------------------------------+------------------+
| efficientnet_em                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_es                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_es_pruned           |        ✅        |
+----------------------------------+------------------+
| efficientnet_l2                  |        ✅        |
+----------------------------------+------------------+
| efficientnet_lite0               |        ✅        |
+----------------------------------+------------------+
| efficientnet_lite1               |        ✅        |
+----------------------------------+------------------+
| efficientnet_lite2               |        ✅        |
+----------------------------------+------------------+
| efficientnet_lite3               |        ✅        |
+----------------------------------+------------------+
| efficientnet_lite4               |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_l                 |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_m                 |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_rw_m              |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_rw_s              |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_rw_t              |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_s                 |        ✅        |
+----------------------------------+------------------+
| efficientnetv2_xl                |        ✅        |
+----------------------------------+------------------+
| ese_vovnet19b_dw                 |                  |
+----------------------------------+------------------+
| ese_vovnet19b_slim               |                  |
+----------------------------------+------------------+
| ese_vovnet19b_slim_dw            |                  |
+----------------------------------+------------------+
| ese_vovnet39b                    |                  |
+----------------------------------+------------------+
| ese_vovnet39b_evos               |                  |
+----------------------------------+------------------+
| ese_vovnet57b                    |                  |
+----------------------------------+------------------+
| ese_vovnet99b                    |                  |
+----------------------------------+------------------+
| fbnetc_100                       |        ✅        |
+----------------------------------+------------------+
| fbnetv3_b                        |        ✅        |
+----------------------------------+------------------+
| fbnetv3_d                        |        ✅        |
+----------------------------------+------------------+
| fbnetv3_g                        |        ✅        |
+----------------------------------+------------------+
| gc_efficientnetv2_rw_t           |        ✅        |
+----------------------------------+------------------+
| gcresnet33ts                     |        ✅        |
+----------------------------------+------------------+
| gcresnet50t                      |        ✅        |
+----------------------------------+------------------+
| gcresnext26ts                    |        ✅        |
+----------------------------------+------------------+
| gcresnext50ts                    |        ✅        |
+----------------------------------+------------------+
| gernet_l                         |        ✅        |
+----------------------------------+------------------+
| gernet_m                         |        ✅        |
+----------------------------------+------------------+
| gernet_s                         |        ✅        |
+----------------------------------+------------------+
| ghostnet_050                     |                  |
+----------------------------------+------------------+
| ghostnet_100                     |                  |
+----------------------------------+------------------+
| ghostnet_130                     |                  |
+----------------------------------+------------------+
| halo2botnet50ts_256              |        ✅        |
+----------------------------------+------------------+
| halonet26t                       |        ✅        |
+----------------------------------+------------------+
| halonet50ts                      |        ✅        |
+----------------------------------+------------------+
| halonet_h1                       |        ✅        |
+----------------------------------+------------------+
| haloregnetz_b                    |        ✅        |
+----------------------------------+------------------+
| hardcorenas_a                    |        ✅        |
+----------------------------------+------------------+
| hardcorenas_b                    |        ✅        |
+----------------------------------+------------------+
| hardcorenas_c                    |        ✅        |
+----------------------------------+------------------+
| hardcorenas_d                    |        ✅        |
+----------------------------------+------------------+
| hardcorenas_e                    |        ✅        |
+----------------------------------+------------------+
| hardcorenas_f                    |        ✅        |
+----------------------------------+------------------+
| hrnet_w18                        |                  |
+----------------------------------+------------------+
| hrnet_w18_small                  |                  |
+----------------------------------+------------------+
| hrnet_w18_small_v2               |                  |
+----------------------------------+------------------+
| hrnet_w18_ssld                   |                  |
+----------------------------------+------------------+
| hrnet_w30                        |                  |
+----------------------------------+------------------+
| hrnet_w32                        |                  |
+----------------------------------+------------------+
| hrnet_w40                        |                  |
+----------------------------------+------------------+
| hrnet_w44                        |                  |
+----------------------------------+------------------+
| hrnet_w48                        |                  |
+----------------------------------+------------------+
| hrnet_w48_ssld                   |                  |
+----------------------------------+------------------+
| hrnet_w64                        |                  |
+----------------------------------+------------------+
| inception_resnet_v2              |                  |
+----------------------------------+------------------+
| inception_v3                     |                  |
+----------------------------------+------------------+
| inception_v4                     |                  |
+----------------------------------+------------------+
| lambda_resnet26rpt_256           |        ✅        |
+----------------------------------+------------------+
| lambda_resnet26t                 |        ✅        |
+----------------------------------+------------------+
| lambda_resnet50ts                |        ✅        |
+----------------------------------+------------------+
| lamhalobotnet50ts_256            |        ✅        |
+----------------------------------+------------------+
| lcnet_035                        |        ✅        |
+----------------------------------+------------------+
| lcnet_050                        |        ✅        |
+----------------------------------+------------------+
| lcnet_075                        |        ✅        |
+----------------------------------+------------------+
| lcnet_100                        |        ✅        |
+----------------------------------+------------------+
| lcnet_150                        |        ✅        |
+----------------------------------+------------------+
| legacy_senet154                  |                  |
+----------------------------------+------------------+
| legacy_seresnet101               |                  |
+----------------------------------+------------------+
| legacy_seresnet152               |                  |
+----------------------------------+------------------+
| legacy_seresnet18                |                  |
+----------------------------------+------------------+
| legacy_seresnet34                |                  |
+----------------------------------+------------------+
| legacy_seresnet50                |                  |
+----------------------------------+------------------+
| legacy_seresnext101_32x4d        |                  |
+----------------------------------+------------------+
| legacy_seresnext26_32x4d         |                  |
+----------------------------------+------------------+
| legacy_seresnext50_32x4d         |                  |
+----------------------------------+------------------+
| legacy_xception                  |                  |
+----------------------------------+------------------+
| maxvit_base_tf_224               |                  |
+----------------------------------+------------------+
| maxvit_base_tf_384               |                  |
+----------------------------------+------------------+
| maxvit_base_tf_512               |                  |
+----------------------------------+------------------+
| maxvit_large_tf_224              |                  |
+----------------------------------+------------------+
| maxvit_large_tf_384              |                  |
+----------------------------------+------------------+
| maxvit_large_tf_512              |                  |
+----------------------------------+------------------+
| maxvit_nano_rw_256               |                  |
+----------------------------------+------------------+
| maxvit_pico_rw_256               |                  |
+----------------------------------+------------------+
| maxvit_rmlp_base_rw_224          |                  |
+----------------------------------+------------------+
| maxvit_rmlp_base_rw_384          |                  |
+----------------------------------+------------------+
| maxvit_rmlp_nano_rw_256          |                  |
+----------------------------------+------------------+
| maxvit_rmlp_pico_rw_256          |                  |
+----------------------------------+------------------+
| maxvit_rmlp_small_rw_224         |                  |
+----------------------------------+------------------+
| maxvit_rmlp_small_rw_256         |                  |
+----------------------------------+------------------+
| maxvit_rmlp_tiny_rw_256          |                  |
+----------------------------------+------------------+
| maxvit_small_tf_224              |                  |
+----------------------------------+------------------+
| maxvit_small_tf_384              |                  |
+----------------------------------+------------------+
| maxvit_small_tf_512              |                  |
+----------------------------------+------------------+
| maxvit_tiny_pm_256               |                  |
+----------------------------------+------------------+
| maxvit_tiny_rw_224               |                  |
+----------------------------------+------------------+
| maxvit_tiny_rw_256               |                  |
+----------------------------------+------------------+
| maxvit_tiny_tf_224               |                  |
+----------------------------------+------------------+
| maxvit_tiny_tf_384               |                  |
+----------------------------------+------------------+
| maxvit_tiny_tf_512               |                  |
+----------------------------------+------------------+
| maxvit_xlarge_tf_224             |                  |
+----------------------------------+------------------+
| maxvit_xlarge_tf_384             |                  |
+----------------------------------+------------------+
| maxvit_xlarge_tf_512             |                  |
+----------------------------------+------------------+
| maxxvit_rmlp_nano_rw_256         |                  |
+----------------------------------+------------------+
| maxxvit_rmlp_small_rw_256        |                  |
+----------------------------------+------------------+
| maxxvit_rmlp_tiny_rw_256         |                  |
+----------------------------------+------------------+
| maxxvitv2_nano_rw_256            |                  |
+----------------------------------+------------------+
| maxxvitv2_rmlp_base_rw_224       |                  |
+----------------------------------+------------------+
| maxxvitv2_rmlp_base_rw_384       |                  |
+----------------------------------+------------------+
| maxxvitv2_rmlp_large_rw_224      |                  |
+----------------------------------+------------------+
| mixnet_l                         |        ✅        |
+----------------------------------+------------------+
| mixnet_m                         |        ✅        |
+----------------------------------+------------------+
| mixnet_s                         |        ✅        |
+----------------------------------+------------------+
| mixnet_xl                        |        ✅        |
+----------------------------------+------------------+
| mixnet_xxl                       |        ✅        |
+----------------------------------+------------------+
| mnasnet_050                      |        ✅        |
+----------------------------------+------------------+
| mnasnet_075                      |        ✅        |
+----------------------------------+------------------+
| mnasnet_100                      |        ✅        |
+----------------------------------+------------------+
| mnasnet_140                      |        ✅        |
+----------------------------------+------------------+
| mnasnet_a1                       |        ✅        |
+----------------------------------+------------------+
| mnasnet_b1                       |        ✅        |
+----------------------------------+------------------+
| mnasnet_small                    |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_035                  |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_050                  |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_075                  |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_100                  |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_110d                 |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_120d                 |        ✅        |
+----------------------------------+------------------+
| mobilenetv2_140                  |        ✅        |
+----------------------------------+------------------+
| mobilenetv3_large_075            |        ✅        |
+----------------------------------+------------------+
| mobilenetv3_large_100            |        ✅        |
+----------------------------------+------------------+
| mobilenetv3_rw                   |        ✅        |
+----------------------------------+------------------+
| mobilenetv3_small_050            |        ✅        |
+----------------------------------+------------------+
| mobilenetv3_small_075            |        ✅        |
+----------------------------------+------------------+
| mobilenetv3_small_100            |        ✅        |
+----------------------------------+------------------+
| mobilevit_s                      |        ✅        |
+----------------------------------+------------------+
| mobilevit_xs                     |        ✅        |
+----------------------------------+------------------+
| mobilevit_xxs                    |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_050                  |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_075                  |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_100                  |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_125                  |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_150                  |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_175                  |        ✅        |
+----------------------------------+------------------+
| mobilevitv2_200                  |        ✅        |
+----------------------------------+------------------+
| nasnetalarge                     |                  |
+----------------------------------+------------------+
| nf_ecaresnet101                  |        ✅        |
+----------------------------------+------------------+
| nf_ecaresnet26                   |        ✅        |
+----------------------------------+------------------+
| nf_ecaresnet50                   |        ✅        |
+----------------------------------+------------------+
| nf_regnet_b0                     |        ✅        |
+----------------------------------+------------------+
| nf_regnet_b1                     |        ✅        |
+----------------------------------+------------------+
| nf_regnet_b2                     |        ✅        |
+----------------------------------+------------------+
| nf_regnet_b3                     |        ✅        |
+----------------------------------+------------------+
| nf_regnet_b4                     |        ✅        |
+----------------------------------+------------------+
| nf_regnet_b5                     |        ✅        |
+----------------------------------+------------------+
| nf_resnet101                     |        ✅        |
+----------------------------------+------------------+
| nf_resnet26                      |        ✅        |
+----------------------------------+------------------+
| nf_resnet50                      |        ✅        |
+----------------------------------+------------------+
| nf_seresnet101                   |        ✅        |
+----------------------------------+------------------+
| nf_seresnet26                    |        ✅        |
+----------------------------------+------------------+
| nf_seresnet50                    |        ✅        |
+----------------------------------+------------------+
| nfnet_f0                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f1                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f2                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f3                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f4                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f5                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f6                         |        ✅        |
+----------------------------------+------------------+
| nfnet_f7                         |        ✅        |
+----------------------------------+------------------+
| nfnet_l0                         |        ✅        |
+----------------------------------+------------------+
| pnasnet5large                    |                  |
+----------------------------------+------------------+
| regnetv_040                      |        ✅        |
+----------------------------------+------------------+
| regnetv_064                      |        ✅        |
+----------------------------------+------------------+
| regnetx_002                      |        ✅        |
+----------------------------------+------------------+
| regnetx_004                      |        ✅        |
+----------------------------------+------------------+
| regnetx_004_tv                   |        ✅        |
+----------------------------------+------------------+
| regnetx_006                      |        ✅        |
+----------------------------------+------------------+
| regnetx_008                      |        ✅        |
+----------------------------------+------------------+
| regnetx_016                      |        ✅        |
+----------------------------------+------------------+
| regnetx_032                      |        ✅        |
+----------------------------------+------------------+
| regnetx_040                      |        ✅        |
+----------------------------------+------------------+
| regnetx_064                      |        ✅        |
+----------------------------------+------------------+
| regnetx_080                      |        ✅        |
+----------------------------------+------------------+
| regnetx_120                      |        ✅        |
+----------------------------------+------------------+
| regnetx_160                      |        ✅        |
+----------------------------------+------------------+
| regnetx_320                      |        ✅        |
+----------------------------------+------------------+
| regnety_002                      |        ✅        |
+----------------------------------+------------------+
| regnety_004                      |        ✅        |
+----------------------------------+------------------+
| regnety_006                      |        ✅        |
+----------------------------------+------------------+
| regnety_008                      |        ✅        |
+----------------------------------+------------------+
| regnety_008_tv                   |        ✅        |
+----------------------------------+------------------+
| regnety_016                      |        ✅        |
+----------------------------------+------------------+
| regnety_032                      |        ✅        |
+----------------------------------+------------------+
| regnety_040                      |        ✅        |
+----------------------------------+------------------+
| regnety_040_sgn                  |        ✅        |
+----------------------------------+------------------+
| regnety_064                      |        ✅        |
+----------------------------------+------------------+
| regnety_080                      |        ✅        |
+----------------------------------+------------------+
| regnety_080_tv                   |        ✅        |
+----------------------------------+------------------+
| regnety_120                      |        ✅        |
+----------------------------------+------------------+
| regnety_1280                     |        ✅        |
+----------------------------------+------------------+
| regnety_160                      |        ✅        |
+----------------------------------+------------------+
| regnety_2560                     |        ✅        |
+----------------------------------+------------------+
| regnety_320                      |        ✅        |
+----------------------------------+------------------+
| regnety_640                      |        ✅        |
+----------------------------------+------------------+
| regnetz_005                      |        ✅        |
+----------------------------------+------------------+
| regnetz_040                      |        ✅        |
+----------------------------------+------------------+
| regnetz_040_h                    |        ✅        |
+----------------------------------+------------------+
| regnetz_b16                      |        ✅        |
+----------------------------------+------------------+
| regnetz_b16_evos                 |        ✅        |
+----------------------------------+------------------+
| regnetz_c16                      |        ✅        |
+----------------------------------+------------------+
| regnetz_c16_evos                 |        ✅        |
+----------------------------------+------------------+
| regnetz_d32                      |        ✅        |
+----------------------------------+------------------+
| regnetz_d8                       |        ✅        |
+----------------------------------+------------------+
| regnetz_d8_evos                  |        ✅        |
+----------------------------------+------------------+
| regnetz_e8                       |        ✅        |
+----------------------------------+------------------+
| repvgg_a2                        |        ✅        |
+----------------------------------+------------------+
| repvgg_b0                        |        ✅        |
+----------------------------------+------------------+
| repvgg_b1                        |        ✅        |
+----------------------------------+------------------+
| repvgg_b1g4                      |        ✅        |
+----------------------------------+------------------+
| repvgg_b2                        |        ✅        |
+----------------------------------+------------------+
| repvgg_b2g4                      |        ✅        |
+----------------------------------+------------------+
| repvgg_b3                        |        ✅        |
+----------------------------------+------------------+
| repvgg_b3g4                      |        ✅        |
+----------------------------------+------------------+
| res2net101_26w_4s                |        ✅        |
+----------------------------------+------------------+
| res2net101d                      |        ✅        |
+----------------------------------+------------------+
| res2net50_14w_8s                 |        ✅        |
+----------------------------------+------------------+
| res2net50_26w_4s                 |        ✅        |
+----------------------------------+------------------+
| res2net50_26w_6s                 |        ✅        |
+----------------------------------+------------------+
| res2net50_26w_8s                 |        ✅        |
+----------------------------------+------------------+
| res2net50_48w_2s                 |        ✅        |
+----------------------------------+------------------+
| res2net50d                       |        ✅        |
+----------------------------------+------------------+
| res2next50                       |        ✅        |
+----------------------------------+------------------+
| resnest101e                      |        ✅        |
+----------------------------------+------------------+
| resnest14d                       |        ✅        |
+----------------------------------+------------------+
| resnest200e                      |        ✅        |
+----------------------------------+------------------+
| resnest269e                      |        ✅        |
+----------------------------------+------------------+
| resnest26d                       |        ✅        |
+----------------------------------+------------------+
| resnest50d                       |        ✅        |
+----------------------------------+------------------+
| resnest50d_1s4x24d               |        ✅        |
+----------------------------------+------------------+
| resnest50d_4s2x40d               |        ✅        |
+----------------------------------+------------------+
| resnet101                        |        ✅        |
+----------------------------------+------------------+
| resnet101c                       |        ✅        |
+----------------------------------+------------------+
| resnet101d                       |        ✅        |
+----------------------------------+------------------+
| resnet101s                       |        ✅        |
+----------------------------------+------------------+
| resnet10t                        |        ✅        |
+----------------------------------+------------------+
| resnet14t                        |        ✅        |
+----------------------------------+------------------+
| resnet152                        |        ✅        |
+----------------------------------+------------------+
| resnet152c                       |        ✅        |
+----------------------------------+------------------+
| resnet152d                       |        ✅        |
+----------------------------------+------------------+
| resnet152s                       |        ✅        |
+----------------------------------+------------------+
| resnet18                         |        ✅        |
+----------------------------------+------------------+
| resnet18d                        |        ✅        |
+----------------------------------+------------------+
| resnet200                        |        ✅        |
+----------------------------------+------------------+
| resnet200d                       |        ✅        |
+----------------------------------+------------------+
| resnet26                         |        ✅        |
+----------------------------------+------------------+
| resnet26d                        |        ✅        |
+----------------------------------+------------------+
| resnet26t                        |        ✅        |
+----------------------------------+------------------+
| resnet32ts                       |        ✅        |
+----------------------------------+------------------+
| resnet33ts                       |        ✅        |
+----------------------------------+------------------+
| resnet34                         |        ✅        |
+----------------------------------+------------------+
| resnet34d                        |        ✅        |
+----------------------------------+------------------+
| resnet50                         |        ✅        |
+----------------------------------+------------------+
| resnet50_gn                      |        ✅        |
+----------------------------------+------------------+
| resnet50c                        |        ✅        |
+----------------------------------+------------------+
| resnet50d                        |        ✅        |
+----------------------------------+------------------+
| resnet50s                        |        ✅        |
+----------------------------------+------------------+
| resnet50t                        |        ✅        |
+----------------------------------+------------------+
| resnet51q                        |        ✅        |
+----------------------------------+------------------+
| resnet61q                        |        ✅        |
+----------------------------------+------------------+
| resnetaa101d                     |        ✅        |
+----------------------------------+------------------+
| resnetaa34d                      |        ✅        |
+----------------------------------+------------------+
| resnetaa50                       |        ✅        |
+----------------------------------+------------------+
| resnetaa50d                      |        ✅        |
+----------------------------------+------------------+
| resnetblur101d                   |        ✅        |
+----------------------------------+------------------+
| resnetblur18                     |        ✅        |
+----------------------------------+------------------+
| resnetblur50                     |        ✅        |
+----------------------------------+------------------+
| resnetblur50d                    |        ✅        |
+----------------------------------+------------------+
| resnetrs101                      |        ✅        |
+----------------------------------+------------------+
| resnetrs152                      |        ✅        |
+----------------------------------+------------------+
| resnetrs200                      |        ✅        |
+----------------------------------+------------------+
| resnetrs270                      |        ✅        |
+----------------------------------+------------------+
| resnetrs350                      |        ✅        |
+----------------------------------+------------------+
| resnetrs420                      |        ✅        |
+----------------------------------+------------------+
| resnetrs50                       |        ✅        |
+----------------------------------+------------------+
| resnetv2_101                     |        ✅        |
+----------------------------------+------------------+
| resnetv2_101d                    |        ✅        |
+----------------------------------+------------------+
| resnetv2_101x1_bit               |        ✅        |
+----------------------------------+------------------+
| resnetv2_101x3_bit               |        ✅        |
+----------------------------------+------------------+
| resnetv2_152                     |        ✅        |
+----------------------------------+------------------+
| resnetv2_152d                    |        ✅        |
+----------------------------------+------------------+
| resnetv2_152x2_bit               |        ✅        |
+----------------------------------+------------------+
| resnetv2_152x4_bit               |        ✅        |
+----------------------------------+------------------+
| resnetv2_50                      |        ✅        |
+----------------------------------+------------------+
| resnetv2_50d                     |        ✅        |
+----------------------------------+------------------+
| resnetv2_50d_evos                |        ✅        |
+----------------------------------+------------------+
| resnetv2_50d_frn                 |        ✅        |
+----------------------------------+------------------+
| resnetv2_50d_gn                  |        ✅        |
+----------------------------------+------------------+
| resnetv2_50t                     |        ✅        |
+----------------------------------+------------------+
| resnetv2_50x1_bit                |        ✅        |
+----------------------------------+------------------+
| resnetv2_50x3_bit                |        ✅        |
+----------------------------------+------------------+
| resnext101_32x16d                |        ✅        |
+----------------------------------+------------------+
| resnext101_32x32d                |        ✅        |
+----------------------------------+------------------+
| resnext101_32x4d                 |        ✅        |
+----------------------------------+------------------+
| resnext101_32x8d                 |        ✅        |
+----------------------------------+------------------+
| resnext101_64x4d                 |        ✅        |
+----------------------------------+------------------+
| resnext26ts                      |        ✅        |
+----------------------------------+------------------+
| resnext50_32x4d                  |        ✅        |
+----------------------------------+------------------+
| resnext50d_32x4d                 |        ✅        |
+----------------------------------+------------------+
| rexnet_100                       |        ✅        |
+----------------------------------+------------------+
| rexnet_130                       |        ✅        |
+----------------------------------+------------------+
| rexnet_150                       |        ✅        |
+----------------------------------+------------------+
| rexnet_200                       |        ✅        |
+----------------------------------+------------------+
| rexnet_300                       |        ✅        |
+----------------------------------+------------------+
| rexnetr_100                      |        ✅        |
+----------------------------------+------------------+
| rexnetr_130                      |        ✅        |
+----------------------------------+------------------+
| rexnetr_150                      |        ✅        |
+----------------------------------+------------------+
| rexnetr_200                      |        ✅        |
+----------------------------------+------------------+
| rexnetr_300                      |        ✅        |
+----------------------------------+------------------+
| sebotnet33ts_256                 |        ✅        |
+----------------------------------+------------------+
| sehalonet33ts                    |        ✅        |
+----------------------------------+------------------+
| semnasnet_050                    |        ✅        |
+----------------------------------+------------------+
| semnasnet_075                    |        ✅        |
+----------------------------------+------------------+
| semnasnet_100                    |        ✅        |
+----------------------------------+------------------+
| semnasnet_140                    |        ✅        |
+----------------------------------+------------------+
| senet154                         |        ✅        |
+----------------------------------+------------------+
| seresnet101                      |        ✅        |
+----------------------------------+------------------+
| seresnet152                      |        ✅        |
+----------------------------------+------------------+
| seresnet152d                     |        ✅        |
+----------------------------------+------------------+
| seresnet18                       |        ✅        |
+----------------------------------+------------------+
| seresnet200d                     |        ✅        |
+----------------------------------+------------------+
| seresnet269d                     |        ✅        |
+----------------------------------+------------------+
| seresnet33ts                     |        ✅        |
+----------------------------------+------------------+
| seresnet34                       |        ✅        |
+----------------------------------+------------------+
| seresnet50                       |        ✅        |
+----------------------------------+------------------+
| seresnet50t                      |        ✅        |
+----------------------------------+------------------+
| seresnetaa50d                    |        ✅        |
+----------------------------------+------------------+
| seresnext101_32x4d               |        ✅        |
+----------------------------------+------------------+
| seresnext101_32x8d               |        ✅        |
+----------------------------------+------------------+
| seresnext101_64x4d               |        ✅        |
+----------------------------------+------------------+
| seresnext101d_32x8d              |        ✅        |
+----------------------------------+------------------+
| seresnext26d_32x4d               |        ✅        |
+----------------------------------+------------------+
| seresnext26t_32x4d               |        ✅        |
+----------------------------------+------------------+
| seresnext26tn_32x4d              |        ✅        |
+----------------------------------+------------------+
| seresnext26ts                    |        ✅        |
+----------------------------------+------------------+
| seresnext50_32x4d                |        ✅        |
+----------------------------------+------------------+
| seresnextaa101d_32x8d            |        ✅        |
+----------------------------------+------------------+
| skresnet18                       |        ✅        |
+----------------------------------+------------------+
| skresnet34                       |        ✅        |
+----------------------------------+------------------+
| skresnet50                       |        ✅        |
+----------------------------------+------------------+
| skresnet50d                      |        ✅        |
+----------------------------------+------------------+
| skresnext50_32x4d                |        ✅        |
+----------------------------------+------------------+
| spnasnet_100                     |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b0               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b1               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b2               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b3               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b4               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b5               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b6               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b7               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_b8               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_cc_b0_4e         |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_cc_b0_8e         |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_cc_b1_8e         |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_el               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_em               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_es               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_l2               |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_lite0            |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_lite1            |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_lite2            |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_lite3            |        ✅        |
+----------------------------------+------------------+
| tf_efficientnet_lite4            |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_b0             |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_b1             |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_b2             |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_b3             |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_l              |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_m              |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_s              |        ✅        |
+----------------------------------+------------------+
| tf_efficientnetv2_xl             |        ✅        |
+----------------------------------+------------------+
| tf_mixnet_l                      |        ✅        |
+----------------------------------+------------------+
| tf_mixnet_m                      |        ✅        |
+----------------------------------+------------------+
| tf_mixnet_s                      |        ✅        |
+----------------------------------+------------------+
| tf_mobilenetv3_large_075         |        ✅        |
+----------------------------------+------------------+
| tf_mobilenetv3_large_100         |        ✅        |
+----------------------------------+------------------+
| tf_mobilenetv3_large_minimal_100 |        ✅        |
+----------------------------------+------------------+
| tf_mobilenetv3_small_075         |        ✅        |
+----------------------------------+------------------+
| tf_mobilenetv3_small_100         |        ✅        |
+----------------------------------+------------------+
| tf_mobilenetv3_small_minimal_100 |        ✅        |
+----------------------------------+------------------+
| tinynet_a                        |        ✅        |
+----------------------------------+------------------+
| tinynet_b                        |        ✅        |
+----------------------------------+------------------+
| tinynet_c                        |        ✅        |
+----------------------------------+------------------+
| tinynet_d                        |        ✅        |
+----------------------------------+------------------+
| tinynet_e                        |        ✅        |
+----------------------------------+------------------+
| vovnet39a                        |                  |
+----------------------------------+------------------+
| vovnet57a                        |                  |
+----------------------------------+------------------+
| wide_resnet101_2                 |        ✅        |
+----------------------------------+------------------+
| wide_resnet50_2                  |        ✅        |
+----------------------------------+------------------+
| xception41                       |        ✅        |
+----------------------------------+------------------+
| xception41p                      |        ✅        |
+----------------------------------+------------------+
| xception65                       |        ✅        |
+----------------------------------+------------------+
| xception65p                      |        ✅        |
+----------------------------------+------------------+
| xception71                       |        ✅        |
+----------------------------------+------------------+