Merge branch 'rwightman:master' into master

.gitignore

@@ -100,9 +100,12 @@ venv.bak/
 # PyCharm
 .idea
 
+output/
+
 # PyTorch weights
 *.tar
 *.pth
+*.pt
 *.gz
 Untitled.ipynb
 Testing notebook.ipynb

results/benchmark-infer-amp-nchw-pt111-cu113-rtx3090.csv

@@ -0,0 +1,750 @@
+model,infer_samples_per_sec,infer_step_time,infer_batch_size,infer_img_size,param_count
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+lcnet_075,22451.72,45.598,1024,224,2.36
+levit_128s,19963.52,51.282,1024,224,7.78
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+regnetx_032,2201.52,465.118,1024,224,15.3
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+gluon_resnet50_v1s,2193.42,466.838,1024,224,25.68
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+gluon_inception_v3,2150.17,476.225,1024,299,23.83
+adv_inception_v3,2148.48,476.602,1024,299,23.83
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+ese_vovnet57b,2074.63,493.57,1024,224,38.61
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+ssl_resnext50_32x4d,2073.23,493.902,1024,224,25.03
+gluon_resnext50_32x4d,2072.3,494.125,1024,224,25.03
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+twins_pcpvt_small,2036.4,502.835,1024,224,24.11
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+tf_efficientnetv2_b3,2020.91,506.688,1024,300,14.36
+xcit_small_12_p16_224,2020.4,506.814,1024,224,26.25
+nf_seresnet50,2015.9,507.948,1024,224,28.09
+skresnet50,2014.26,508.362,1024,224,25.8
+nf_ecaresnet50,2005.54,510.572,1024,224,25.56
+regnetx_040,2003.23,511.16,1024,224,22.12
+efficientnetv2_rw_t,1999.8,512.038,1024,288,13.65
+sehalonet33ts,1991.52,257.078,512,256,13.69
+fbnetv3_g,1991.44,514.187,1024,288,16.62
+dla60x,1986.19,515.547,1024,224,17.35
+gcresnet50t,1982.14,516.599,1024,256,25.9
+resnext50d_32x4d,1976.72,518.018,1024,224,25.05
+lambda_resnet26rpt_256,1950.98,262.42,512,256,10.99
+gmixer_24_224,1937.61,528.474,1024,224,24.72
+gc_efficientnetv2_rw_t,1928.42,530.993,1024,288,13.68
+res2net50_14w_8s,1920.35,533.22,1024,224,25.06
+skresnet50d,1919.46,533.468,1024,224,25.82
+densenet169,1916.46,534.305,1024,224,14.15
+dla60_res2net,1907.38,536.848,1024,224,20.85
+gcresnext50ts,1902.33,538.276,1024,256,15.67
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+res2next50,1896.89,539.818,1024,224,24.67
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+crossvit_small_240,1855.05,551.992,1024,240,26.86
+nf_regnet_b3,1852.1,552.873,1024,320,18.59
+darknet53,1847.62,277.102,512,256,41.61
+mixnet_xl,1839.34,278.346,512,224,11.9
+dla60_res2next,1829.2,559.793,1024,224,17.03
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+poolformer_s24,1803.36,567.817,1024,224,21.39
+vit_small_r26_s32_224,1799.77,568.949,1024,224,36.43
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+gmlp_s16_224,1741.6,587.951,1024,224,19.42
+sebotnet33ts_256,1718.54,223.433,384,256,13.7
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+cait_xxs24_224,1580.68,647.808,1024,224,11.96
+dla102,1573.96,650.576,1024,224,33.27
+resnetv2_50x1_bit_distilled,1561.81,655.635,1024,224,25.55
+res2net50_26w_6s,1556.3,657.955,1024,224,37.05
+vit_large_patch32_224,1551.79,659.869,1024,224,306.54
+resmlp_36_224,1549.07,661.03,1024,224,44.69
+regnetx_080,1548.92,661.091,1024,224,39.57
+resmlp_36_distilled_224,1548.49,661.277,1024,224,44.69
+halonet50ts,1542.39,663.891,1024,256,22.73
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+ese_vovnet39b_evos,1523.51,672.121,1024,224,24.58
+coat_lite_small,1509.49,678.361,1024,224,19.84
+vgg13_bn,1504.09,340.392,512,224,133.05
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+mixer_b16_224,1448.87,706.746,1024,224,59.88
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+mixer_l32_224,1425.39,718.388,1024,224,206.94
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+hrnet_w18,1416.64,722.817,1024,224,21.3
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+resnet51q,1366.14,749.545,1024,288,35.7
+resnetv2_50d_evob,1365.49,749.897,1024,224,25.59
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+dla102x,1333.01,768.169,1024,224,26.31
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+twins_svt_base,1242.25,824.296,1024,224,56.07
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+vgg16_bn,1239.17,413.169,512,224,138.37
+resnet61q,1236.58,828.077,1024,288,36.85
+eca_nfnet_l0,1234.82,829.257,1024,288,24.14
+nfnet_l0,1234.39,829.546,1024,288,35.07
+hrnet_w32,1225.86,835.318,1024,224,41.23
+xception41p,1219.47,419.841,512,299,26.91
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+hrnet_w30,1208.97,846.988,1024,224,37.71
+dpn92,1205.79,849.224,1024,224,37.67
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+swin_small_patch4_window7_224,1117.13,916.62,1024,224,49.61
+regnety_040s_gn,1113.45,919.647,1024,224,20.65
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+densenet161,1076.84,950.914,1024,224,28.68
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+deit_base_distilled_patch16_224,1073.74,953.659,1024,224,87.34
+dla169,1071.22,955.906,1024,224,53.39
+vgg19_bn,1060.19,482.919,512,224,143.68
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+legacy_seresnet152,1054.79,970.791,1024,224,66.82
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+coat_tiny,976.27,1048.875,1024,224,5.5
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+pit_b_224,954.91,536.164,512,224,73.76
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+pit_b_distilled_224,947.46,540.381,512,224,74.79
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+dla102x2,910.31,562.434,512,224,41.28
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+dpn98,862.25,1187.578,1024,224,61.57
+ens_adv_inception_resnet_v2,856.37,1195.737,1024,299,55.84
+inception_resnet_v2,855.57,1196.844,1024,299,55.84
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+gluon_resnext101_64x4d,834.02,1227.777,1024,224,83.46
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+ig_resnext101_32x8d,802.17,1276.521,1024,224,88.79
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+gmlp_b16_224,744.43,1375.538,1024,224,73.08
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+swin_s3_base_224,663.17,1544.087,1024,224,71.13
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+dpn131,635.27,1611.889,1024,224,79.25
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+volo_d2_224,626.17,1635.329,1024,224,58.68
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results/benchmark-infer-amp-nhwc-pt111-cu113-rtx3090.csv

@@ -0,0 +1,743 @@
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+resmlp_12_224,4518.97,226.589,1024,224,15.35
+tf_efficientnetv2_b2,4403.08,232.553,1024,260,10.1
+vit_base_patch32_224_sam,4330.12,236.472,1024,224,88.22
+vit_base_patch32_224,4316.0,237.246,1024,224,88.22
+mixer_b32_224,4294.72,238.421,1024,224,60.29
+tf_efficientnet_b1_ns,4267.56,239.936,1024,240,7.79
+tf_efficientnet_b1_ap,4266.36,240.004,1024,240,7.79
+tf_efficientnet_b1,4266.12,240.017,1024,240,7.79
+efficientnet_b0_g16_evos,4260.91,240.312,1024,224,8.11
+legacy_seresnext26_32x4d,4210.62,243.183,1024,224,16.79
+mixer_s16_224,4210.38,243.197,1024,224,18.53
+gernet_l,4176.68,245.159,1024,256,31.08
+tf_efficientnet_lite2,4154.51,246.467,1024,260,6.09
+gmixer_12_224,4127.0,248.109,1024,224,12.7
+efficientnet_b1,4101.97,249.625,1024,256,7.79
+resnext26ts,4091.38,250.27,1024,256,10.3
+rexnet_130,4013.83,255.106,1024,224,7.56
+seresnext26ts,3966.87,258.123,1024,256,10.39
+nf_seresnet26,3954.94,258.905,1024,224,17.4
+eca_resnext26ts,3953.54,258.996,1024,256,10.3
+nf_ecaresnet26,3938.91,259.956,1024,224,16.0
+repvgg_a2,3868.66,264.68,1024,224,28.21
+gmlp_ti16_224,3865.39,264.903,1024,224,5.87
+crossvit_tiny_240,3854.54,265.648,1024,240,7.01
+efficientnet_b2_pruned,3821.39,267.953,1024,260,8.31
+vit_small_patch32_384,3802.4,269.289,1024,384,22.92
+resnet26t,3789.73,270.19,1024,256,16.01
+regnetx_016,3776.49,271.139,1024,224,9.19
+rexnet_150,3774.39,271.29,1024,224,9.73
+seresnext26t_32x4d,3769.71,271.627,1024,224,16.81
+seresnext26tn_32x4d,3769.68,271.629,1024,224,16.81
+gcresnext26ts,3763.59,272.069,1024,256,10.48
+seresnext26d_32x4d,3760.94,272.26,1024,224,16.81
+ecaresnext50t_32x4d,3751.71,272.931,1024,224,15.41
+ecaresnext26t_32x4d,3745.62,273.373,1024,224,15.41
+ecaresnet50d_pruned,3714.28,275.68,1024,224,19.94
+resnetv2_50,3703.17,276.505,1024,224,25.55
+eca_botnext26ts_256,3685.99,277.797,1024,256,10.59
+crossvit_9_240,3640.93,281.235,1024,240,8.55
+ecaresnetlight,3588.5,285.344,1024,224,30.16
+eca_halonext26ts,3573.18,286.568,1024,256,10.76
+crossvit_9_dagger_240,3562.28,287.444,1024,240,8.78
+poolformer_s12,3555.09,288.026,1024,224,11.92
+swsl_resnet50,3536.6,289.53,1024,224,25.56
+gluon_resnet50_v1b,3534.52,289.702,1024,224,25.56
+tv_resnet50,3534.18,289.73,1024,224,25.56
+resnet50,3528.73,290.177,1024,224,25.56
+ssl_resnet50,3522.22,290.713,1024,224,25.56
+rexnetr_200,3521.98,145.362,512,224,16.52
+dla46_c,3494.33,293.033,1024,224,1.3
+botnet26t_256,3447.34,297.026,1024,256,12.49
+efficientnet_em,3434.61,298.129,1024,240,6.9
+dpn68,3423.83,299.067,1024,224,12.61
+resnet32ts,3414.56,299.879,1024,256,17.96
+dpn68b,3412.63,300.049,1024,224,12.61
+regnety_016,3408.85,300.382,1024,224,11.2
+halonet26t,3379.19,303.017,1024,256,12.48
+resnetv2_50t,3374.73,303.416,1024,224,25.57
+resnetv2_50d,3370.34,303.812,1024,224,25.57
+resnet33ts,3369.92,303.852,1024,256,19.68
+nf_regnet_b1,3357.92,304.938,1024,288,10.22
+gluon_resnet50_v1c,3339.61,306.611,1024,224,25.58
+nf_regnet_b2,3329.81,307.512,1024,272,14.31
+tf_efficientnet_b2_ap,3315.4,308.848,1024,260,9.11
+tf_efficientnet_b2_ns,3314.91,308.894,1024,260,9.11
+tf_efficientnet_em,3313.67,309.011,1024,240,6.9
+tf_efficientnet_b2,3313.08,309.063,1024,260,9.11
+seresnet33ts,3285.4,311.671,1024,256,19.78
+eca_resnet33ts,3264.82,313.634,1024,256,19.68
+resnet50t,3209.81,319.009,1024,224,25.57
+bat_resnext26ts,3208.41,319.147,1024,256,10.73
+legacy_seresnet50,3208.39,319.15,1024,224,28.09
+gluon_resnet50_v1d,3207.43,319.246,1024,224,25.58
+convnext_nano_hnf,3203.44,319.644,1024,224,15.59
+resnet50d,3201.53,319.835,1024,224,25.58
+convit_tiny,3182.1,321.788,1024,224,5.71
+gcresnet33ts,3115.24,328.694,1024,256,19.88
+vit_small_resnet26d_224,3114.54,328.764,1024,224,63.61
+efficientnet_b2,3113.3,328.898,1024,288,9.11
+efficientnet_b2a,3112.75,328.957,1024,288,9.11
+efficientnet_b3_pruned,3098.33,330.489,1024,300,9.86
+mobilevit_xs,3098.23,165.245,512,256,2.32
+vovnet39a,3094.91,330.85,1024,224,22.6
+seresnet50,3084.99,331.918,1024,224,28.09
+haloregnetz_b,3050.82,335.635,1024,224,11.68
+skresnet34,3016.36,339.47,1024,224,22.28
+ese_vovnet39b,2991.04,342.343,1024,224,24.57
+eca_vovnet39b,2984.95,343.042,1024,224,22.6
+cspresnext50,2981.83,343.401,1024,224,20.57
+selecsls84,2979.47,343.673,1024,224,50.95
+res2net50_48w_2s,2961.27,345.783,1024,224,25.29
+ssl_resnext50_32x4d,2883.39,355.125,1024,224,25.03
+resnext50_32x4d,2879.89,355.557,1024,224,25.03
+swsl_resnext50_32x4d,2879.83,355.563,1024,224,25.03
+tv_resnext50_32x4d,2876.25,356.006,1024,224,25.03
+gluon_resnext50_32x4d,2870.17,356.762,1024,224,25.03
+resnetaa50d,2869.21,356.878,1024,224,25.58
+tv_densenet121,2861.74,357.812,1024,224,7.98
+densenet121,2859.4,358.103,1024,224,7.98
+mixnet_s,2849.57,359.34,1024,224,4.13
+seresnet50t,2844.85,359.936,1024,224,28.1
+resnetrs50,2844.33,360.0,1024,224,35.69
+deit_small_patch16_224,2839.86,360.568,1024,224,22.05
+vit_small_patch16_224,2838.21,360.777,1024,224,22.05
+ecaresnet101d_pruned,2833.47,361.381,1024,224,24.88
+coat_lite_tiny,2832.3,361.531,1024,224,5.72
+gluon_resnet50_v1s,2824.57,362.521,1024,224,25.68
+pit_s_224,2821.07,362.969,1024,224,23.46
+ecaresnet50d,2815.88,363.64,1024,224,25.58
+rexnet_200,2812.74,182.018,512,224,16.37
+pit_s_distilled_224,2802.25,365.406,1024,224,24.04
+deit_small_distilled_patch16_224,2791.58,366.805,1024,224,22.44
+dla34,2790.34,366.966,1024,224,15.74
+dla46x_c,2773.06,369.253,1024,224,1.07
+cspresnet50,2754.0,371.811,1024,256,21.62
+hrnet_w18_small_v2,2736.24,374.217,1024,224,15.6
+densenet121d,2731.76,374.837,1024,224,8.0
+tf_mixnet_s,2728.68,375.26,1024,224,4.13
+efficientnet_lite3,2718.45,188.332,512,300,8.2
+regnetz_b16,2715.55,377.076,1024,288,9.72
+dla60x_c,2712.17,377.543,1024,224,1.32
+vit_tiny_r_s16_p8_384,2700.75,189.562,512,384,6.36
+coat_lite_mini,2663.5,384.444,1024,224,11.01
+resnext50d_32x4d,2662.22,384.629,1024,224,25.05
+resnetblur50,2619.08,390.962,1024,224,25.56
+cspresnet50d,2596.32,394.393,1024,256,21.64
+vgg11_bn,2593.2,197.428,512,224,132.87
+vit_base2_patch32_256,2576.99,397.35,1024,256,119.46
+seresnetaa50d,2576.43,397.436,1024,224,28.11
+cspresnet50w,2574.64,397.712,1024,256,28.12
+seresnext50_32x4d,2574.54,397.729,1024,224,27.56
+lambda_resnet26rpt_256,2573.59,397.876,1024,256,10.99
+legacy_seresnext50_32x4d,2571.71,398.166,1024,224,27.56
+xcit_nano_12_p16_384_dist,2569.25,398.547,1024,384,3.05
+gluon_seresnext50_32x4d,2564.07,399.352,1024,224,27.56
+xcit_tiny_24_p16_224_dist,2557.0,400.456,1024,224,12.12
+xcit_tiny_24_p16_224,2556.28,400.571,1024,224,12.12
+efficientnetv2_rw_t,2545.32,402.294,1024,288,13.65
+vovnet57a,2538.22,403.418,1024,224,36.64
+fbnetv3_g,2530.36,404.673,1024,288,16.62
+gcresnet50t,2514.25,407.265,1024,256,25.9
+res2net50_26w_4s,2505.47,408.693,1024,224,25.7
+tf_efficientnetv2_b3,2496.85,410.104,1024,300,14.36
+twins_svt_small,2488.33,411.508,1024,224,24.06
+vit_base_resnet26d_224,2472.64,414.118,1024,224,101.4
+ese_vovnet57b,2446.54,418.537,1024,224,38.61
+densenetblur121d,2445.52,418.711,1024,224,8.0
+tf_efficientnet_lite3,2442.63,209.598,512,300,8.2
+resnetblur50d,2422.6,422.672,1024,224,25.58
+mobilevit_s,2415.06,211.991,512,256,5.58
+resnest14d,2409.35,424.998,1024,224,10.61
+tf_inception_v3,2400.27,426.605,1024,299,23.83
+gluon_inception_v3,2398.26,426.963,1024,299,23.83
+nf_seresnet50,2397.62,427.078,1024,224,28.09
+inception_v3,2397.12,427.166,1024,299,23.83
+nf_ecaresnet50,2388.81,428.654,1024,224,25.56
+adv_inception_v3,2388.59,428.689,1024,299,23.83
+densenet169,2362.23,433.477,1024,224,14.15
+sehalonet33ts,2337.63,219.014,512,256,13.69
+resmlp_24_224,2312.09,442.876,1024,224,30.02
+gc_efficientnetv2_rw_t,2311.11,443.065,1024,288,13.68
+resmlp_24_distilled_224,2308.78,443.512,1024,224,30.02
+convnext_tiny,2275.45,450.007,1024,224,28.59
+gcresnext50ts,2263.71,452.341,1024,256,15.67
+res2net50_14w_8s,2252.88,454.515,1024,224,25.06
+semobilevit_s,2250.59,227.485,512,256,5.74
+darknet53,2248.73,227.672,512,256,41.61
+resnetv2_101,2235.55,458.038,1024,224,44.54
+xcit_small_12_p16_224_dist,2216.94,461.885,1024,224,26.25
+xcit_small_12_p16_224,2212.11,462.891,1024,224,26.25
+skresnet50,2193.01,466.925,1024,224,25.8
+resnet101,2170.93,471.673,1024,224,44.55
+tv_resnet101,2164.75,473.02,1024,224,44.55
+gluon_resnet101_v1b,2163.02,473.399,1024,224,44.55
+res2next50,2156.68,474.791,1024,224,24.67
+ecaresnet26t,2145.15,477.343,1024,320,16.01
+nf_regnet_b3,2126.07,481.627,1024,320,18.59
+gmixer_24_224,2110.93,485.081,1024,224,24.72
+resnetv2_101d,2090.05,489.925,1024,224,44.56
+gluon_resnet101_v1c,2088.96,490.184,1024,224,44.57
+dla60,2087.19,490.597,1024,224,22.04
+convnext_tiny_hnf,2073.34,493.877,1024,224,28.59
+skresnet50d,2063.75,496.172,1024,224,25.82
+twins_pcpvt_small,2048.61,499.837,1024,224,24.11
+gluon_resnet101_v1d,2036.64,502.777,1024,224,44.57
+vgg13,2019.99,506.92,1024,224,133.05
+efficientnet_b0_gn,2017.66,253.748,512,224,5.29
+wide_resnet50_2,2001.07,511.71,1024,224,68.88
+sebotnet33ts_256,1999.77,192.009,384,256,13.7
+xcit_nano_12_p8_224,1978.07,517.663,1024,224,3.05
+xcit_nano_12_p8_224_dist,1977.13,517.91,1024,224,3.05
+vit_base_resnet50d_224,1950.99,524.848,1024,224,110.97
+repvgg_b1,1936.11,528.882,1024,224,57.42
+legacy_seresnet101,1932.53,529.863,1024,224,49.33
+dla60x,1896.77,539.852,1024,224,17.35
+resnetaa101d,1893.61,540.751,1024,224,44.57
+tf_efficientnet_b3_ns,1893.08,270.444,512,300,12.23
+tf_efficientnet_b3_ap,1892.83,270.481,512,300,12.23
+tf_efficientnet_b3,1892.52,270.524,512,300,12.23
+seresnet101,1891.69,541.301,1024,224,49.33
+gluon_resnet101_v1s,1874.89,546.152,1024,224,44.67
+resnet51q,1869.52,547.722,1024,288,35.7
+efficientnet_b3,1853.06,276.288,512,320,12.23
+efficientnet_b3a,1852.72,276.339,512,320,12.23
+crossvit_small_240,1844.12,555.265,1024,240,26.86
+poolformer_s24,1843.54,555.44,1024,224,21.39
+swin_tiny_patch4_window7_224,1831.44,559.111,1024,224,28.29
+halonet50ts,1826.61,560.589,1024,256,22.73
+densenet201,1818.74,563.014,1024,224,20.01
+gmlp_s16_224,1810.78,565.489,1024,224,19.42
+ssl_resnext101_32x4d,1796.49,569.986,1024,224,44.18
+resnext101_32x4d,1794.8,570.526,1024,224,44.18
+swsl_resnext101_32x4d,1794.2,570.714,1024,224,44.18
+convnext_tiny_hnfd,1793.87,570.819,1024,224,28.63
+gluon_resnext101_32x4d,1791.38,571.613,1024,224,44.18
+cspdarknet53,1782.45,287.233,512,256,27.64
+nf_resnet101,1778.39,575.79,1024,224,44.55
+vit_small_r26_s32_224,1778.32,575.808,1024,224,36.43
+ecaresnet101d,1778.2,575.85,1024,224,44.57
+regnetz_c16,1772.58,288.833,512,320,13.46
+res2net50_26w_6s,1761.45,581.325,1024,224,37.05
+resnest26d,1761.21,581.405,1024,224,17.07
+dla60_res2net,1720.09,595.302,1024,224,20.85
+nf_resnet50,1719.27,595.589,1024,288,25.56
+crossvit_15_240,1700.36,602.213,1024,240,27.53
+resnetblur101d,1688.41,606.472,1024,224,44.57
+resnet61q,1677.9,610.274,1024,288,36.85
+swin_s3_tiny_224,1668.56,613.692,1024,224,28.33
+xcit_tiny_12_p16_384_dist,1651.99,619.843,1024,384,6.72
+crossvit_15_dagger_240,1651.71,619.951,1024,240,28.21
+resnetv2_50d_frn,1650.73,620.316,1024,224,25.59
+vgg13_bn,1642.03,311.797,512,224,133.05
+efficientnet_b0_g8_gn,1637.47,312.665,512,224,6.56
+vgg16,1632.03,627.428,1024,224,138.36
+cait_xxs24_224,1630.9,627.86,1024,224,11.96
+repvgg_b1g4,1614.79,634.126,1024,224,39.97
+regnetx_032,1605.58,637.76,1024,224,15.3
+seresnext101_32x4d,1600.47,639.797,1024,224,48.96
+gluon_seresnext101_32x4d,1597.12,641.141,1024,224,48.96
+legacy_seresnext101_32x4d,1596.46,641.406,1024,224,48.96
+botnet50ts_256,1594.64,321.062,512,256,22.74
+res2net101_26w_4s,1591.38,643.454,1024,224,45.21
+regnetx_040,1586.28,645.521,1024,224,22.12
+ese_vovnet39b_evos,1584.69,646.169,1024,224,24.58
+resnetv2_50d_evob,1578.15,648.842,1024,224,25.59
+resnetv2_50x1_bit_distilled,1562.05,655.535,1024,224,25.55
+visformer_small,1557.14,657.604,1024,224,40.22
+xception41p,1555.03,329.24,512,299,26.91
+resnetv2_152,1552.32,659.642,1024,224,60.19
+dla102,1552.08,659.747,1024,224,33.27
+resmlp_36_224,1551.92,659.816,1024,224,44.69
+dla60_res2next,1551.9,659.821,1024,224,17.03
+resmlp_36_distilled_224,1551.61,659.949,1024,224,44.69
+resnest50d_1s4x24d,1548.62,661.22,1024,224,25.68
+xception,1546.37,331.084,512,299,22.86
+hrnet_w32,1543.69,663.332,1024,224,41.23
+halo2botnet50ts_256,1528.74,669.82,1024,256,22.64
+tv_resnet152,1516.25,675.334,1024,224,60.19
+coat_lite_small,1515.55,675.647,1024,224,19.84
+mixer_b16_224,1515.3,675.76,1024,224,59.88
+mixer_b16_224_miil,1514.28,676.214,1024,224,59.88
+gluon_resnet152_v1b,1512.22,677.139,1024,224,60.19
+resnet152,1507.31,679.341,1024,224,60.19
+efficientnet_el,1505.49,340.076,512,300,10.59
+efficientnet_el_pruned,1505.01,340.185,512,300,10.59
+vit_large_patch32_224,1500.0,682.653,1024,224,306.54
+swin_v2_cr_tiny_224,1497.15,683.946,1024,224,28.33
+res2net50_26w_8s,1487.1,688.575,1024,224,48.4
+nf_seresnet101,1486.78,688.723,1024,224,49.33
+resnetv2_152d,1485.01,689.541,1024,224,60.2
+nf_ecaresnet101,1477.89,692.868,1024,224,44.55
+gluon_resnet152_v1c,1474.38,694.516,1024,224,60.21
+swin_v2_cr_tiny_ns_224,1472.66,695.323,1024,224,28.33
+tf_efficientnet_el,1464.69,349.551,512,300,10.59
+vit_tiny_patch16_384,1460.68,701.028,1024,384,5.79
+vit_base_r26_s32_224,1452.81,704.825,1024,224,101.38
+gluon_resnet152_v1d,1447.4,707.462,1024,224,60.21
+hrnet_w18,1432.55,714.792,1024,224,21.3
+mixnet_m,1431.87,715.134,1024,224,5.01
+mixer_l32_224,1426.61,717.775,1024,224,206.94
+dla102x,1416.93,722.674,1024,224,26.31
+tf_mixnet_m,1413.24,724.561,1024,224,5.01
+convnext_small,1410.61,725.911,1024,224,50.22
+twins_pcpvt_base,1405.32,728.645,1024,224,43.83
+ecaresnet50t,1382.49,740.677,1024,320,25.57
+nest_tiny,1378.24,371.475,512,224,17.06
+vit_base_patch32_384,1377.87,743.165,1024,384,88.3
+convit_small,1368.52,748.238,1024,224,27.78
+regnety_032,1367.75,748.662,1024,288,19.44
+vgg19,1367.17,748.977,1024,224,143.67
+gluon_resnet152_v1s,1363.8,750.829,1024,224,60.32
+vgg16_bn,1363.24,375.563,512,224,138.37
+jx_nest_tiny,1354.35,378.027,512,224,17.06
+ese_vovnet99b,1351.66,757.57,1024,224,63.2
+xception41,1337.66,382.745,512,299,26.97
+legacy_seresnet152,1335.99,766.462,1024,224,66.82
+seresnet152,1317.5,777.213,1024,224,66.82
+dpn92,1303.11,785.8,1024,224,37.67
+efficientnet_lite4,1287.19,298.314,384,380,13.01
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results/benchmark-train-amp-nchw-pt111-cu113-rtx3090.csv

@@ -0,0 +1,756 @@
+model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
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results/benchmark-train-amp-nhwc-pt111-cu113-rtx3090.csv

@@ -0,0 +1,752 @@
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+resnetv2_50,1296.0,394.281,512,224,25.55
+gernet_l,1283.32,398.106,512,256,31.08
+rexnet_100,1277.92,299.324,384,224,4.8
+crossvit_9_240,1236.5,309.16,384,240,8.55
+resnet26t,1227.85,416.475,512,256,16.01
+ssl_resnet50,1223.5,417.643,512,224,25.56
+resnet50,1222.61,417.956,512,224,25.56
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+swsl_resnet50,1222.0,418.189,512,224,25.56
+gluon_resnet50_v1b,1221.97,418.181,512,224,25.56
+crossvit_9_dagger_240,1195.59,319.731,384,240,8.78
+vit_tiny_r_s16_p8_384,1193.45,320.912,384,384,6.36
+rexnetr_150,1185.63,214.799,256,224,9.78
+fbnetv3_b,1184.86,322.487,384,256,8.6
+botnet26t_256,1168.73,327.971,384,256,12.49
+tf_efficientnetv2_b2,1157.41,219.649,256,260,10.1
+regnetx_004,1150.82,443.834,512,224,5.16
+repvgg_a2,1142.14,447.42,512,224,28.21
+skresnet34,1140.48,447.803,512,224,22.28
+resnetv2_50t,1134.35,450.541,512,224,25.57
+fbnetv3_d,1133.65,223.966,256,256,10.31
+resnetv2_50d,1131.93,451.499,512,224,25.57
+gluon_resnet50_v1c,1131.41,338.54,384,224,25.58
+halonet26t,1122.34,341.57,384,256,12.48
+convit_tiny,1108.09,461.02,512,224,5.71
+efficientnet_lite2,1096.26,232.544,256,260,6.09
+dla34,1094.33,467.287,512,224,15.74
+convnext_nano_hnf,1075.54,356.227,384,224,15.59
+resnet50d,1070.21,357.929,384,224,25.58
+gluon_resnet50_v1d,1070.13,357.997,384,224,25.58
+resnet50t,1068.62,358.508,384,224,25.57
+mixnet_s,1051.2,485.837,512,224,4.13
+legacy_seresnext26_32x4d,1051.18,486.414,512,224,16.79
+tf_efficientnet_lite2,1045.58,243.879,256,260,6.09
+vit_small_resnet26d_224,1042.37,367.395,384,224,63.61
+deit_small_patch16_224,1032.62,371.017,384,224,22.05
+vit_small_patch16_224,1027.63,372.823,384,224,22.05
+regnety_004,1027.25,497.255,512,224,4.34
+tf_efficientnet_b1_ns,1026.16,247.955,256,240,7.79
+tf_efficientnet_b1_ap,1026.11,248.006,256,240,7.79
+tf_efficientnet_b1,1025.11,248.193,256,240,7.79
+resnet32ts,1021.77,249.96,256,256,17.96
+deit_small_distilled_patch16_224,1010.79,379.058,384,224,22.44
+resnet33ts,1009.39,252.998,256,256,19.68
+res2net50_48w_2s,1006.25,380.82,384,224,25.29
+vovnet39a,1004.46,509.092,512,224,22.6
+seresnext26d_32x4d,1002.27,382.471,384,224,16.81
+seresnext26t_32x4d,1001.74,382.665,384,224,16.81
+seresnext26tn_32x4d,1001.47,382.779,384,224,16.81
+legacy_seresnet50,993.86,385.256,384,224,28.09
+tf_efficientnet_em,979.63,260.356,256,240,6.9
+efficientnet_em,978.46,260.687,256,240,6.9
+dla46x_c,973.77,525.047,512,224,1.07
+eca_resnet33ts,964.39,264.788,256,256,19.68
+pit_s_224,961.0,265.507,256,224,23.46
+pit_s_distilled_224,960.14,265.718,256,224,24.04
+tf_mixnet_s,958.59,532.877,512,224,4.13
+seresnet50,956.87,400.165,384,224,28.09
+efficientnet_b1,954.91,266.596,256,256,7.79
+seresnet33ts,954.85,267.313,256,256,19.78
+ecaresnetlight,952.86,536.422,512,224,30.16
+vit_base2_patch32_256,950.48,537.853,512,256,119.46
+ese_vovnet39b,947.73,539.578,512,224,24.57
+ecaresnext50t_32x4d,947.69,404.65,384,224,15.41
+ecaresnext26t_32x4d,947.22,404.844,384,224,15.41
+dla60,945.45,405.196,384,224,22.04
+gluon_resnet50_v1s,943.31,406.227,384,224,25.68
+resnetaa50d,941.94,406.82,384,224,25.58
+eca_vovnet39b,939.18,544.514,512,224,22.6
+vgg11,930.6,550.023,512,224,132.86
+gcresnet33ts,927.58,274.995,256,256,19.88
+lambda_resnet26rpt_256,921.55,207.755,192,256,10.99
+dla60x_c,921.01,554.951,512,224,1.32
+ecaresnet50d_pruned,911.85,560.565,512,224,19.94
+resnetblur50,909.58,421.362,384,224,25.56
+mobilevit_xs,909.51,210.0,192,256,2.32
+cspresnet50,906.79,422.612,384,256,21.62
+rexnetr_200,896.75,212.966,192,224,16.52
+coat_lite_tiny,890.79,430.193,384,224,5.72
+nf_seresnet50,886.81,431.807,384,224,28.09
+dpn68b,878.29,436.039,384,224,12.61
+selecsls84,872.56,585.545,512,224,50.95
+twins_svt_small,868.85,440.366,384,224,24.06
+hrnet_w18_small_v2,867.42,587.948,512,224,15.6
+seresnet50t,865.51,442.504,384,224,28.1
+cspresnext50,862.61,444.309,384,224,20.57
+resnetrs50,861.96,444.354,384,224,35.69
+cspresnet50w,860.12,445.567,384,256,28.12
+cspresnet50d,849.09,451.363,384,256,21.64
+densenet121,845.28,301.077,256,224,7.98
+tv_densenet121,845.28,301.063,256,224,7.98
+rexnet_150,842.23,302.82,256,224,9.73
+tv_resnext50_32x4d,836.18,458.41,384,224,25.03
+swsl_resnext50_32x4d,836.09,458.464,384,224,25.03
+res2net50_26w_4s,835.77,458.208,384,224,25.7
+coat_lite_mini,833.77,459.672,384,224,11.01
+vit_base_resnet26d_224,833.37,459.491,384,224,101.4
+resnext50_32x4d,832.87,460.244,384,224,25.03
+ssl_resnext50_32x4d,832.34,460.521,384,224,25.03
+dpn68,831.95,460.44,384,224,12.61
+gluon_resnext50_32x4d,831.77,460.799,384,224,25.03
+vovnet57a,828.64,616.994,512,224,36.64
+efficientnet_b2_pruned,825.77,308.457,256,260,8.31
+resnetblur50d,818.48,311.928,256,224,25.58
+skresnet50,810.12,472.628,384,224,25.8
+tf_efficientnet_b2_ap,809.72,235.646,192,260,9.11
+tf_efficientnet_b2_ns,809.32,235.717,192,260,9.11
+tf_efficientnet_b2,809.06,235.843,192,260,9.11
+vgg11_bn,805.38,476.555,384,224,132.87
+densenet121d,805.31,316.045,256,224,8.0
+nf_ecaresnet50,804.89,476.102,384,224,25.56
+rexnet_130,801.42,318.304,256,224,7.56
+ecaresnet50d,793.07,483.245,384,224,25.58
+ese_vovnet57b,790.94,484.567,384,224,38.61
+regnetx_006,790.56,646.782,512,224,6.2
+gcresnet50t,788.09,323.372,256,256,25.9
+regnety_006,787.76,648.873,512,224,6.06
+convnext_tiny,781.17,326.737,256,224,28.59
+tf_inception_v3,774.78,494.217,384,299,23.83
+gluon_inception_v3,774.48,494.404,384,299,23.83
+seresnetaa50d,773.82,329.682,256,224,28.11
+inception_v3,772.99,495.38,384,299,23.83
+adv_inception_v3,769.85,497.351,384,299,23.83
+resmlp_24_distilled_224,767.92,331.893,256,224,30.02
+resnext50d_32x4d,765.61,333.516,256,224,25.05
+resmlp_24_224,762.25,334.383,256,224,30.02
+gmixer_24_224,759.72,335.461,256,224,24.72
+resnetv2_101,757.49,336.449,256,224,44.54
+res2net50_14w_8s,756.34,336.303,256,224,25.06
+xcit_nano_12_p16_384_dist,754.95,337.338,256,384,3.05
+sehalonet33ts,749.52,340.746,256,256,13.69
+densenetblur121d,739.98,344.167,256,224,8.0
+dla60_res2net,736.45,346.205,256,224,20.85
+skresnet50d,736.23,346.324,256,224,25.82
+mobilevit_s,734.66,260.236,192,256,5.58
+gluon_resnet101_v1b,731.02,348.601,256,224,44.55
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+resnet101,727.5,350.369,256,224,44.55
+xcit_tiny_24_p16_224,726.25,349.143,256,224,12.12
+xcit_tiny_24_p16_224_dist,725.28,349.489,256,224,12.12
+efficientnet_b2,724.21,263.654,192,288,9.11
+twins_pcpvt_small,724.17,351.883,256,224,24.11
+efficientnet_b2a,723.56,263.856,192,288,9.11
+ecaresnet101d_pruned,714.19,715.116,512,224,24.88
+nf_resnet50,710.87,539.322,384,288,25.56
+nf_resnet101,707.69,540.968,384,224,44.55
+seresnext50_32x4d,706.91,361.01,256,224,27.56
+gluon_seresnext50_32x4d,706.58,361.114,256,224,27.56
+efficientnet_b0_gn,705.84,361.599,256,224,5.29
+legacy_seresnext50_32x4d,704.96,362.028,256,224,27.56
+nf_regnet_b0,703.19,726.933,512,256,8.76
+darknet53,701.97,363.892,256,256,41.61
+resnetv2_101d,699.92,364.177,256,224,44.56
+densenet169,698.35,364.121,256,224,14.15
+gluon_resnet101_v1c,697.85,365.313,256,224,44.57
+dla60x,694.54,367.645,256,224,17.35
+poolformer_s24,690.11,369.675,256,224,21.39
+semobilevit_s,684.71,279.143,192,256,5.74
+efficientnetv2_rw_t,684.48,278.424,192,288,13.65
+vit_small_r26_s32_224,682.34,373.878,256,224,36.43
+convnext_tiny_hnf,681.83,374.501,256,224,28.59
+gluon_resnet101_v1d,674.08,378.237,256,224,44.57
+tf_efficientnetv2_b3,670.7,284.467,192,300,14.36
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+sebotnet33ts_256,666.38,191.3,128,256,13.7
+rexnet_200,665.99,287.162,192,224,16.37
+vgg13,663.21,578.818,384,224,133.05
+regnety_008,661.82,772.637,512,224,6.26
+wide_resnet50_2,661.04,580.088,384,224,68.88
+dla102,650.38,392.047,256,224,33.27
+gmlp_s16_224,648.9,294.316,192,224,19.42
+vit_base_resnet50d_224,646.39,394.444,256,224,110.97
+swin_tiny_patch4_window7_224,639.35,399.428,256,224,28.29
+ecaresnet26t,628.75,406.586,256,320,16.01
+repvgg_b1,627.31,815.089,512,224,57.42
+gluon_resnet101_v1s,624.3,408.497,256,224,44.67
+crossvit_small_240,624.04,408.587,256,240,26.86
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+eca_botnext26ts_256,618.03,413.613,256,256,10.59
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+eca_halonext26ts,604.41,422.932,256,256,10.76
+seresnext26ts,598.53,427.051,256,256,10.39
+eca_resnext26ts,598.25,427.346,256,256,10.3
+convnext_tiny_hnfd,592.58,430.992,256,224,28.63
+regnetx_008,591.8,864.35,512,224,7.26
+resnetv2_50x1_bit_distilled,589.64,324.794,192,224,25.55
+legacy_seresnet101,588.41,432.899,256,224,49.33
+gcresnext26ts,585.17,436.656,256,256,10.48
+halonet50ts,584.39,327.573,192,256,22.73
+xcit_nano_12_p8_224,583.42,437.05,256,224,3.05
+cait_xxs24_224,582.93,436.673,256,224,11.96
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+mixer_b16_224,580.44,440.268,256,224,59.88
+mixer_b16_224_miil,579.94,440.653,256,224,59.88
+swin_s3_tiny_224,578.76,441.339,256,224,28.33
+seresnet101,574.05,443.691,256,224,49.33
+mixnet_m,573.23,891.634,512,224,5.01
+res2net50_26w_6s,569.28,447.908,256,224,37.05
+vgg13_bn,568.79,449.813,256,224,133.05
+crossvit_15_240,568.46,335.957,192,240,27.53
+resnetblur101d,567.71,449.352,256,224,44.57
+cspdarknet53,565.64,451.547,256,256,27.64
+efficientnet_lite3,563.01,226.244,128,300,8.2
+tf_efficientnet_lite3,561.05,227.067,128,300,8.2
+crossvit_15_dagger_240,549.96,347.22,192,240,28.21
+resnext101_32x4d,548.6,465.031,256,224,44.18
+tf_mixnet_m,547.03,700.438,384,224,5.01
+swsl_resnext101_32x4d,546.13,467.192,256,224,44.18
+gluon_resnext101_32x4d,545.31,467.899,256,224,44.18
+ssl_resnext101_32x4d,545.31,467.944,256,224,44.18
+densenet201,539.32,353.029,192,224,20.01
+vgg16,536.49,715.548,384,224,138.36
+bat_resnext26ts,533.44,478.688,256,256,10.73
+nf_seresnet101,532.2,478.733,256,224,49.33
+vit_base_r26_s32_224,528.57,361.981,192,224,101.38
+resnetv2_152,524.49,485.916,256,224,60.19
+botnet50ts_256,524.41,243.109,128,256,22.74
+res2net101_26w_4s,523.46,486.536,256,224,45.21
+efficientnet_b3_pruned,519.43,491.117,256,300,9.86
+vit_base_patch32_384,517.32,494.013,256,384,88.3
+vit_large_patch32_224,511.41,498.976,256,224,306.54
+halo2botnet50ts_256,510.64,375.017,192,256,22.64
+mixer_l32_224,510.1,374.908,192,224,206.94
+swin_v2_cr_tiny_224,506.89,377.55,192,224,28.33
+resmlp_36_distilled_224,505.72,377.435,192,224,44.69
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+res2next50,502.84,507.818,256,224,24.67
+dla102x,501.98,380.938,192,224,26.31
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+resnet152,499.83,381.783,192,224,60.19
+gluon_resnet152_v1b,499.79,381.933,192,224,60.19
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+xception,494.06,258.29,128,299,22.86
+visformer_tiny,491.83,1040.332,512,224,10.32
+mixnet_l,488.23,784.993,384,224,7.33
+gluon_resnet152_v1c,485.58,393.139,192,224,60.21
+resnet50_gn,484.73,395.256,192,224,25.56
+resnetv2_152d,484.59,393.938,192,224,60.2
+twins_pcpvt_base,480.18,397.102,192,224,43.83
+nest_tiny,477.31,267.267,128,224,17.06
+res2net50_26w_8s,476.93,534.581,256,224,48.4
+ecaresnet101d,475.58,536.508,256,224,44.57
+convnext_small,473.89,403.445,192,224,50.22
+gluon_resnet152_v1d,473.52,403.216,192,224,60.21
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+vgg16_bn,469.97,544.386,256,224,138.37
+nf_ecaresnet101,465.87,547.628,256,224,44.55
+coat_lite_small,463.34,412.922,192,224,19.84
+poolformer_s36,458.24,417.134,192,224,30.86
+efficientnet_el,455.42,279.993,128,300,10.59
+efficientnet_el_pruned,454.32,280.643,128,300,10.59
+vgg19,451.86,849.574,384,224,143.67
+convit_small,450.19,425.458,192,224,27.78
+fbnetv3_g,449.02,283.045,128,288,16.62
+ese_vovnet99b,448.97,568.658,256,224,63.2
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+nf_regnet_b3,442.03,577.378,256,320,18.59
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+ese_vovnet39b_evos,439.23,290.493,128,224,24.58
+dla60_res2next,437.89,583.208,256,224,17.03
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+dla169,436.98,436.866,192,224,53.39
+skresnext50_32x4d,435.09,586.972,256,224,27.48
+hrnet_w32,433.46,438.263,192,224,41.23
+vit_small_resnet50d_s16_224,432.94,442.239,192,224,57.53
+twins_svt_base,429.83,444.617,192,224,56.07
+hrnet_w18,419.32,605.846,256,224,21.3
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+inception_v4,397.78,480.469,192,299,42.68
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+swin_small_patch4_window7_224,393.38,486.272,192,224,49.61
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+cait_xxs36_224,380.29,501.012,192,224,17.3
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+densenet161,376.13,337.907,128,224,28.68
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+convmixer_1536_20,9.63,4981.706,48,224,51.63
+beit_large_patch16_512,9.42,422.773,4,512,305.67
+tf_efficientnet_l2_ns_475,9.0,327.787,3,475,480.31
+ig_resnext101_32x48d,8.5,1880.808,16,224,828.41
+volo_d5_512,8.05,369.448,3,512,296.09
+nfnet_f4,6.47,1849.874,12,512,316.07
+dm_nfnet_f4,6.2,1929.065,12,512,316.07
+cait_m48_448,4.75,415.897,2,448,356.46
+nfnet_f5,4.63,1719.792,8,544,377.21
+resnetv2_152x4_bitm,4.49,443.185,2,480,936.53
+dm_nfnet_f5,4.47,1782.137,8,544,377.21
+nfnet_f6,3.5,1707.387,6,576,438.36
+dm_nfnet_f6,3.39,1759.608,6,576,438.36
+nfnet_f7,2.67,1489.771,4,608,499.5
+efficientnet_l2,2.09,473.733,1,800,480.31
+tf_efficientnet_l2_ns,2.09,474.031,1,800,480.31

results/results-imagenet-a-clean.csv

@@ -5,7 +5,7 @@ beit_large_patch16_384,98.520,1.480,99.820,0.180,305.00,384,1.000,bicubic
 tf_efficientnet_l2_ns_475,98.500,1.500,99.830,0.170,480.31,475,0.936,bicubic
 convnext_xlarge_384_in22ft1k,98.350,1.650,99.800,0.200,350.20,384,1.000,bicubic
 convnext_large_384_in22ft1k,98.220,1.780,99.730,0.270,197.77,384,1.000,bicubic
-vit_large_patch16_384,98.210,1.790,99.800,0.200,304.72,384,1.000,bicubic
+vit_large_patch16_384,98.220,1.780,99.800,0.200,304.72,384,1.000,bicubic
 beit_large_patch16_224,98.180,1.820,99.760,0.240,304.43,224,0.900,bicubic
 swin_large_patch4_window12_384,98.040,1.960,99.690,0.310,196.74,384,1.000,bicubic
 convnext_base_384_in22ft1k,97.950,2.050,99.650,0.350,88.59,384,1.000,bicubic
@@ -16,7 +16,10 @@ vit_large_r50_s32_384,97.860,2.140,99.670,0.330,329.09,384,1.000,bicubic
 vit_base_patch16_384,97.840,2.160,99.670,0.330,86.86,384,1.000,bicubic
 convnext_large_in22ft1k,97.830,2.170,99.690,0.310,197.77,224,0.875,bicubic
 beit_base_patch16_384,97.810,2.190,99.700,0.300,86.74,384,1.000,bicubic
+volo_d5_512,97.770,2.230,99.670,0.330,296.09,512,1.150,bicubic
+volo_d5_448,97.760,2.240,99.620,0.380,295.91,448,1.150,bicubic
 tf_efficientnetv2_l_in21ft1k,97.700,2.300,99.670,0.330,118.52,480,1.000,bicubic
+volo_d4_448,97.670,2.330,99.610,0.390,193.41,448,1.150,bicubic
 swin_large_patch4_window7_224,97.650,2.350,99.580,0.420,196.53,224,0.900,bicubic
 tf_efficientnetv2_xl_in21ft1k,97.650,2.350,99.490,0.510,208.12,512,1.000,bicubic
 vit_large_patch16_224,97.640,2.360,99.590,0.410,304.33,224,0.900,bicubic
@@ -25,47 +28,54 @@ ig_resnext101_32x48d,97.620,2.380,99.710,0.290,828.41,224,0.875,bilinear
 dm_nfnet_f6,97.600,2.400,99.550,0.450,438.36,576,0.956,bicubic
 dm_nfnet_f4,97.580,2.420,99.510,0.490,316.07,512,0.951,bicubic
 vit_base_patch8_224,97.580,2.420,99.670,0.330,86.58,224,0.900,bicubic
+volo_d3_448,97.550,2.450,99.550,0.450,86.63,448,1.000,bicubic
 dm_nfnet_f5,97.540,2.460,99.570,0.430,377.21,544,0.954,bicubic
 xcit_large_24_p8_384_dist,97.520,2.480,99.540,0.460,188.93,384,1.000,bicubic
 xcit_large_24_p16_384_dist,97.520,2.480,99.480,0.520,189.10,384,1.000,bicubic
 tf_efficientnet_b5_ns,97.500,2.500,99.630,0.370,30.39,456,0.934,bicubic
 resnetv2_152x4_bitm,97.490,2.510,99.610,0.390,936.53,480,1.000,bilinear
-cait_m48_448,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic
 tf_efficientnetv2_m_in21ft1k,97.480,2.520,99.530,0.470,54.14,480,1.000,bicubic
-convnext_base_in22ft1k,97.470,2.530,99.610,0.390,88.59,224,0.875,bicubic
+cait_m48_448,97.480,2.520,99.550,0.450,356.46,448,1.000,bicubic
+convnext_base_in22ft1k,97.470,2.530,99.600,0.400,88.59,224,0.875,bicubic
 cait_m36_384,97.400,2.600,99.510,0.490,271.22,384,1.000,bicubic
+volo_d5_224,97.390,2.610,99.570,0.430,295.46,224,0.960,bicubic
 ig_resnext101_32x32d,97.370,2.630,99.680,0.320,468.53,224,0.875,bilinear
 dm_nfnet_f3,97.350,2.650,99.560,0.440,254.92,416,0.940,bicubic
 cait_s36_384,97.330,2.670,99.530,0.470,68.37,384,1.000,bicubic
+volo_d2_384,97.310,2.690,99.600,0.400,58.87,384,1.000,bicubic
+volo_d4_224,97.300,2.700,99.520,0.480,192.96,224,0.960,bicubic
 xcit_medium_24_p8_384_dist,97.290,2.710,99.510,0.490,84.32,384,1.000,bicubic
 tf_efficientnetv2_l,97.280,2.720,99.550,0.450,118.52,480,1.000,bicubic
 xcit_medium_24_p16_384_dist,97.280,2.720,99.460,0.540,84.40,384,1.000,bicubic
 swin_base_patch4_window7_224,97.250,2.750,99.530,0.470,87.77,224,0.900,bicubic
 xcit_small_24_p8_384_dist,97.240,2.760,99.610,0.390,47.63,384,1.000,bicubic
 xcit_small_12_p8_384_dist,97.230,2.770,99.480,0.520,26.21,384,1.000,bicubic
-swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
 tf_efficientnet_b7_ap,97.200,2.800,99.540,0.460,66.35,600,0.949,bicubic
 tf_efficientnet_b8,97.200,2.800,99.500,0.500,87.41,672,0.954,bicubic
+swsl_resnext101_32x8d,97.200,2.800,99.570,0.430,88.79,224,0.875,bilinear
 regnetz_e8,97.200,2.800,99.500,0.500,57.70,320,1.000,bicubic
 vit_base_r50_s16_384,97.180,2.820,99.560,0.440,98.95,384,1.000,bicubic
 tf_efficientnetv2_m,97.140,2.860,99.410,0.590,54.14,480,1.000,bicubic
 xcit_small_24_p16_384_dist,97.120,2.880,99.460,0.540,47.67,384,1.000,bicubic
 tf_efficientnet_b8_ap,97.110,2.890,99.660,0.340,87.41,672,0.954,bicubic
-eca_nfnet_l2,97.090,2.910,99.510,0.490,56.72,384,1.000,bicubic
 beit_base_patch16_224,97.090,2.910,99.610,0.390,86.53,224,0.900,bicubic
-ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
+eca_nfnet_l2,97.090,2.910,99.510,0.490,56.72,384,1.000,bicubic
+volo_d3_224,97.090,2.910,99.470,0.530,86.33,224,0.960,bicubic
 tf_efficientnet_b6_ap,97.080,2.920,99.620,0.380,43.04,528,0.942,bicubic
-cait_s24_384,97.070,2.930,99.430,0.570,47.06,384,1.000,bicubic
+ecaresnet269d,97.080,2.920,99.470,0.530,102.09,352,1.000,bicubic
+cait_s24_384,97.080,2.920,99.430,0.570,47.06,384,1.000,bicubic
 xcit_large_24_p8_224_dist,97.070,2.930,99.420,0.580,188.93,224,1.000,bicubic
-dm_nfnet_f2,97.020,2.980,99.440,0.560,193.78,352,0.920,bicubic
+dm_nfnet_f2,97.030,2.970,99.440,0.560,193.78,352,0.920,bicubic
 resnetv2_152x2_bitm,97.010,2.990,99.590,0.410,236.34,448,1.000,bilinear
 tf_efficientnet_b7,97.010,2.990,99.520,0.480,66.35,600,0.949,bicubic
+volo_d2_224,97.000,3.000,99.390,0.610,58.68,224,0.960,bicubic
 resnetv2_101x3_bitm,96.990,3.010,99.490,0.510,387.93,448,1.000,bilinear
 efficientnetv2_rw_m,96.980,3.020,99.530,0.470,53.24,416,1.000,bicubic
 deit_base_distilled_patch16_384,96.960,3.040,99.480,0.520,87.63,384,1.000,bicubic
 tf_efficientnet_b4_ns,96.950,3.050,99.580,0.420,19.34,380,0.922,bicubic
 xcit_small_12_p16_384_dist,96.930,3.070,99.400,0.600,26.25,384,1.000,bicubic
 resnetrs420,96.920,3.080,99.460,0.540,191.89,416,1.000,bicubic
+volo_d1_384,96.920,3.080,99.520,0.480,26.78,384,1.000,bicubic
 xcit_medium_24_p8_224_dist,96.920,3.080,99.390,0.610,84.32,224,1.000,bicubic
 dm_nfnet_f1,96.910,3.090,99.410,0.590,132.63,320,0.910,bicubic
 vit_base_patch16_224,96.880,3.120,99.530,0.470,86.57,224,0.900,bicubic
@@ -74,59 +84,73 @@ resnetv2_152x2_bit_teacher_384,96.830,3.170,99.450,0.550,236.34,384,1.000,bicubi
 ig_resnext101_32x16d,96.810,3.190,99.600,0.400,194.03,224,0.875,bilinear
 xcit_large_24_p16_224_dist,96.800,3.200,99.350,0.650,189.10,224,1.000,bicubic
 vit_large_r50_s32_224,96.790,3.210,99.350,0.650,328.99,224,0.900,bicubic
-convnext_large,96.770,3.230,99.310,0.690,197.77,224,0.875,bicubic
 seresnet152d,96.770,3.230,99.450,0.550,66.84,320,1.000,bicubic
+seresnext101_32x8d,96.770,3.230,99.350,0.650,93.57,288,1.000,bicubic
+convnext_large,96.760,3.240,99.300,0.700,197.77,224,0.875,bicubic
 resnetrs350,96.760,3.240,99.370,0.630,163.96,384,1.000,bicubic
+tf_efficientnetv2_s_in21ft1k,96.730,3.270,99.420,0.580,21.46,384,1.000,bicubic
 resnet200d,96.720,3.280,99.330,0.670,64.69,320,1.000,bicubic
-tf_efficientnetv2_s_in21ft1k,96.720,3.280,99.420,0.580,21.46,384,1.000,bicubic
 resnetv2_50x3_bitm,96.710,3.290,99.550,0.450,217.32,448,1.000,bilinear
+regnetz_040h,96.710,3.290,99.500,0.500,28.94,320,1.000,bicubic
+regnetz_040,96.710,3.290,99.470,0.530,27.12,320,1.000,bicubic
 eca_nfnet_l1,96.700,3.300,99.290,0.710,41.41,320,1.000,bicubic
+resnetrs200,96.700,3.300,99.370,0.630,93.21,320,1.000,bicubic
+vit_small_patch16_384,96.700,3.300,99.480,0.520,22.20,384,1.000,bicubic
 xcit_small_12_p8_224_dist,96.700,3.300,99.390,0.610,26.21,224,1.000,bicubic
 resnetrs270,96.690,3.310,99.350,0.650,129.86,352,1.000,bicubic
-vit_small_patch16_384,96.690,3.310,99.480,0.520,22.20,384,1.000,bicubic
-vit_small_r26_s32_384,96.680,3.320,99.570,0.430,36.47,384,1.000,bicubic
+vit_small_r26_s32_384,96.680,3.320,99.580,0.420,36.47,384,1.000,bicubic
 tf_efficientnet_b6,96.670,3.330,99.370,0.630,43.04,528,0.942,bicubic
 tf_efficientnet_b5_ap,96.670,3.330,99.460,0.540,30.39,456,0.934,bicubic
 pit_b_distilled_224,96.670,3.330,99.350,0.650,74.79,224,0.900,bicubic
 regnetz_d8,96.620,3.380,99.450,0.550,23.37,320,1.000,bicubic
 resmlp_big_24_224_in22ft1k,96.620,3.380,99.510,0.490,129.14,224,0.875,bicubic
+regnetz_d8_evos,96.610,3.390,99.440,0.560,23.46,320,0.950,bicubic
 resnest200e,96.610,3.390,99.350,0.650,70.20,320,0.909,bicubic
 regnetz_d32,96.600,3.400,99.380,0.620,27.58,320,0.950,bicubic
 swsl_resnext101_32x16d,96.600,3.400,99.530,0.470,194.03,224,0.875,bilinear
 xcit_medium_24_p16_224_dist,96.590,3.410,99.270,0.730,84.40,224,1.000,bicubic
 resnetrs152,96.580,3.420,99.240,0.760,86.62,320,1.000,bicubic
 cait_xs24_384,96.550,3.450,99.420,0.580,26.67,384,1.000,bicubic
-efficientnetv2_rw_s,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic
 xcit_tiny_24_p8_384_dist,96.540,3.460,99.320,0.680,12.11,384,1.000,bicubic
+efficientnetv2_rw_s,96.540,3.460,99.360,0.640,23.94,384,1.000,bicubic
 crossvit_18_dagger_408,96.530,3.470,99.260,0.740,44.61,408,1.000,bicubic
-resnetrs200,96.530,3.470,99.350,0.650,93.21,320,1.000,bicubic
+regnety_080,96.530,3.470,99.320,0.680,39.18,288,1.000,bicubic
 resnest269e,96.520,3.480,99.350,0.650,110.93,416,0.928,bicubic
 vit_base_patch32_384,96.490,3.510,99.410,0.590,88.30,384,1.000,bicubic
+convnext_base,96.470,3.530,99.230,0.770,88.59,224,0.875,bicubic
 resmlp_big_24_distilled_224,96.450,3.550,99.310,0.690,129.14,224,0.875,bicubic
-vit_base_patch16_224_miil,96.440,3.560,99.300,0.700,86.54,224,0.875,bilinear
-convnext_base,96.440,3.560,99.230,0.770,88.59,224,0.875,bicubic
-swsl_resnext101_32x4d,96.440,3.560,99.470,0.530,44.18,224,0.875,bilinear
+vit_base_patch16_224_miil,96.450,3.550,99.300,0.700,86.54,224,0.875,bilinear
+swsl_resnext101_32x4d,96.430,3.570,99.470,0.530,44.18,224,0.875,bilinear
+regnetv_064,96.410,3.590,99.360,0.640,30.58,288,1.000,bicubic
 xcit_large_24_p8_224,96.410,3.590,98.980,1.020,188.93,224,1.000,bicubic
 xcit_small_24_p8_224,96.400,3.600,99.150,0.850,47.63,224,1.000,bicubic
 crossvit_15_dagger_408,96.390,3.610,99.160,0.840,28.50,408,1.000,bicubic
 tf_efficientnet_b3_ns,96.390,3.610,99.350,0.650,12.23,300,0.904,bicubic
 cait_s24_224,96.380,3.620,99.150,0.850,46.92,224,1.000,bicubic
 resnet152d,96.360,3.640,99.390,0.610,60.21,320,1.000,bicubic
+regnety_064,96.360,3.640,99.230,0.770,30.58,288,1.000,bicubic
 regnety_160,96.350,3.650,99.330,0.670,83.59,288,1.000,bicubic
 tf_efficientnet_b5,96.350,3.650,99.310,0.690,30.39,456,0.934,bicubic
+xception65,96.350,3.650,99.240,0.760,39.92,299,0.940,bicubic
 tf_efficientnetv2_s,96.340,3.660,99.200,0.800,21.46,384,1.000,bicubic
+volo_d1_224,96.330,3.670,99.310,0.690,26.63,224,0.960,bicubic
 ig_resnext101_32x8d,96.310,3.690,99.430,0.570,88.79,224,0.875,bilinear
 resnet101d,96.300,3.700,99.230,0.770,44.57,320,1.000,bicubic
 twins_svt_large,96.270,3.730,99.170,0.830,99.27,224,0.900,bicubic
+swin_s3_base_224,96.250,3.750,99.140,0.860,71.13,224,0.900,bicubic
 jx_nest_base,96.240,3.760,99.210,0.790,67.72,224,0.875,bicubic
-xcit_small_24_p16_224_dist,96.210,3.790,99.210,0.790,47.67,224,1.000,bicubic
+swin_s3_small_224,96.230,3.770,99.090,0.910,49.74,224,0.900,bicubic
+xcit_small_24_p16_224_dist,96.220,3.780,99.210,0.790,47.67,224,1.000,bicubic
+xception65p,96.200,3.800,99.180,0.820,39.82,299,0.940,bicubic
+regnetv_040,96.190,3.810,99.330,0.670,20.64,288,1.000,bicubic
+convnext_small,96.170,3.830,99.100,0.900,50.22,224,0.875,bicubic
 tf_efficientnet_b4_ap,96.170,3.830,99.280,0.720,19.34,380,0.922,bicubic
-convnext_small,96.170,3.830,99.110,0.890,50.22,224,0.875,bicubic
 twins_svt_base,96.160,3.840,99.060,0.940,56.07,224,0.900,bicubic
 deit_base_patch16_384,96.150,3.850,99.140,0.860,86.86,384,1.000,bicubic
+twins_pcpvt_large,96.150,3.850,99.180,0.820,60.99,224,0.900,bicubic
 dm_nfnet_f0,96.150,3.850,99.250,0.750,71.49,256,0.900,bicubic
 efficientnet_b4,96.150,3.850,99.190,0.810,19.34,384,1.000,bicubic
-twins_pcpvt_large,96.150,3.850,99.180,0.820,60.99,224,0.900,bicubic
+regnetz_c16_evos,96.130,3.870,99.360,0.640,13.49,320,0.950,bicubic
 nfnet_l0,96.120,3.880,99.240,0.760,35.07,288,1.000,bicubic
 resnetv2_50x1_bit_distilled,96.120,3.880,99.280,0.720,25.55,224,0.875,bicubic
 xcit_medium_24_p8_224,96.110,3.890,98.890,1.110,84.32,224,1.000,bicubic
@@ -134,10 +158,12 @@ xcit_small_12_p8_224,96.110,3.890,99.160,0.840,26.21,224,1.000,bicubic
 resnetv2_101x1_bitm,96.100,3.900,99.280,0.720,44.54,448,1.000,bilinear
 resnetv2_152x2_bit_teacher,96.100,3.900,99.270,0.730,236.34,224,0.875,bicubic
 deit_base_distilled_patch16_224,96.090,3.910,99.190,0.810,87.34,224,0.900,bicubic
+resnext101_64x4d,96.080,3.920,99.240,0.760,83.46,288,1.000,bicubic
 xcit_tiny_12_p8_384_dist,96.080,3.920,99.140,0.860,6.71,384,1.000,bicubic
 xcit_small_12_p16_224_dist,96.030,3.970,99.140,0.860,26.25,224,1.000,bicubic
-tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
+regnety_040,96.020,3.980,99.190,0.810,20.65,288,1.000,bicubic
 regnety_032,95.970,4.030,99.190,0.810,19.44,288,1.000,bicubic
+tresnet_xl_448,95.970,4.030,99.130,0.870,78.44,448,0.875,bilinear
 jx_nest_small,95.970,4.030,99.030,0.970,38.35,224,0.875,bicubic
 eca_nfnet_l0,95.950,4.050,99.210,0.790,24.14,288,1.000,bicubic
 xcit_tiny_24_p16_384_dist,95.930,4.070,99.220,0.780,12.12,384,1.000,bicubic
@@ -145,10 +171,10 @@ swin_small_patch4_window7_224,95.910,4.090,99.020,0.980,49.61,224,0.900,bicubic
 resnet152,95.900,4.100,99.080,0.920,60.19,224,0.950,bicubic
 tf_efficientnet_b4,95.900,4.100,99.170,0.830,19.34,380,0.922,bicubic
 resnet51q,95.870,4.130,99.120,0.880,35.70,288,1.000,bilinear
+swsl_resnext50_32x4d,95.870,4.130,99.250,0.750,25.03,224,0.875,bilinear
 tresnet_l_448,95.860,4.140,99.120,0.880,55.99,448,0.875,bilinear
-swsl_resnext50_32x4d,95.860,4.140,99.250,0.750,25.03,224,0.875,bilinear
 resnest101e,95.860,4.140,99.210,0.790,48.28,256,0.875,bilinear
-cait_xxs36_384,95.850,4.150,99.090,0.910,17.37,384,1.000,bicubic
+cait_xxs36_384,95.840,4.160,99.090,0.910,17.37,384,1.000,bicubic
 vit_large_patch32_384,95.830,4.170,99.150,0.850,306.63,384,1.000,bicubic
 xcit_tiny_24_p8_224_dist,95.810,4.190,99.210,0.790,12.11,224,1.000,bicubic
 regnetz_c16,95.800,4.200,99.100,0.900,13.46,320,0.940,bicubic
@@ -157,65 +183,73 @@ twins_pcpvt_base,95.790,4.210,99.130,0.870,43.83,224,0.900,bicubic
 resnet61q,95.780,4.220,98.990,1.010,36.85,288,1.000,bicubic
 tf_efficientnet_b2_ns,95.770,4.230,99.120,0.880,9.11,260,0.890,bicubic
 gc_efficientnetv2_rw_t,95.740,4.260,99.020,0.980,13.68,288,1.000,bicubic
-tresnet_m,95.720,4.280,99.030,0.970,31.39,224,0.875,bilinear
 efficientnet_b3,95.710,4.290,99.040,0.960,12.23,320,1.000,bicubic
+tresnet_m,95.710,4.290,99.030,0.970,31.39,224,0.875,bilinear
 pnasnet5large,95.710,4.290,98.920,1.080,86.06,331,0.911,bicubic
 crossvit_15_dagger_240,95.690,4.310,98.830,1.170,28.21,240,0.875,bicubic
 nasnetalarge,95.680,4.320,98.930,1.070,88.75,331,0.911,bicubic
 xcit_tiny_24_p8_224,95.670,4.330,99.050,0.950,12.11,224,1.000,bicubic
+poolformer_m48,95.640,4.360,98.940,1.060,73.47,224,0.950,bicubic
 vit_small_r26_s32_224,95.640,4.360,99.190,0.810,36.43,224,0.900,bicubic
 pit_b_224,95.640,4.360,98.670,1.330,73.76,224,0.900,bicubic
 resnetv2_101,95.630,4.370,98.990,1.010,44.54,224,0.950,bicubic
 efficientnetv2_rw_t,95.610,4.390,99.070,0.930,13.65,288,1.000,bicubic
+resnetv2_50d_evos,95.610,4.390,99.030,0.970,25.59,288,0.950,bicubic
 crossvit_18_dagger_240,95.570,4.430,99.060,0.940,44.27,240,0.875,bicubic
 convit_base,95.550,4.450,98.870,1.130,86.54,224,0.875,bicubic
-convnext_tiny,95.550,4.450,99.020,0.980,28.59,224,0.875,bicubic
+convnext_tiny,95.550,4.450,99.000,1.000,28.59,224,0.875,bicubic
 coat_lite_small,95.540,4.460,98.860,1.140,19.84,224,0.900,bicubic
-xcit_medium_24_p16_224,95.530,4.470,98.740,1.260,84.40,224,1.000,bicubic
 xcit_small_24_p16_224,95.530,4.470,98.760,1.240,47.67,224,1.000,bicubic
-ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
+xcit_medium_24_p16_224,95.530,4.470,98.740,1.260,84.40,224,1.000,bicubic
 levit_384,95.530,4.470,99.050,0.950,39.13,224,0.900,bicubic
+ecaresnet101d,95.530,4.470,99.130,0.870,44.57,224,0.875,bicubic
 crossvit_base_240,95.520,4.480,98.820,1.180,105.03,240,0.875,bicubic
+xception41p,95.520,4.480,98.910,1.090,26.91,299,0.940,bicubic
+convnext_tiny_hnf,95.510,4.490,99.020,0.980,28.59,224,0.950,bicubic
 ecaresnet50t,95.510,4.490,99.120,0.880,25.57,320,0.950,bicubic
 fbnetv3_g,95.510,4.490,98.990,1.010,16.62,288,0.950,bilinear
 ssl_resnext101_32x8d,95.490,4.510,99.120,0.880,88.79,224,0.875,bilinear
-visformer_small,95.480,4.520,98.900,1.100,40.22,224,0.900,bicubic
-crossvit_18_240,95.440,4.560,98.790,1.210,43.27,240,0.875,bicubic
-deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
+visformer_small,95.490,4.510,98.900,1.100,40.22,224,0.900,bicubic
 ssl_resnext101_32x4d,95.440,4.560,99.130,0.870,44.18,224,0.875,bilinear
 tresnet_xl,95.440,4.560,99.050,0.950,78.44,224,0.875,bilinear
+crossvit_18_240,95.440,4.560,98.790,1.210,43.27,240,0.875,bicubic
+deit_base_patch16_224,95.440,4.560,98.840,1.160,86.57,224,0.900,bicubic
 resnetrs101,95.430,4.570,99.030,0.970,63.62,288,0.940,bicubic
-halo2botnet50ts_256,95.420,4.580,99.010,0.990,22.64,256,0.950,bicubic
+resnetv2_50d_gn,95.430,4.570,99.040,0.960,25.57,288,0.950,bicubic
 xcit_large_24_p16_224,95.420,4.580,98.620,1.380,189.10,224,1.000,bicubic
 xcit_small_12_p16_224,95.420,4.580,98.840,1.160,26.25,224,1.000,bicubic
-swsl_resnet50,95.400,4.600,99.290,0.710,25.56,224,0.875,bilinear
+halo2botnet50ts_256,95.410,4.590,99.010,0.990,22.64,256,0.950,bicubic
+swsl_resnet50,95.400,4.600,99.300,0.700,25.56,224,0.875,bilinear
+poolformer_m36,95.380,4.620,98.850,1.150,56.17,224,0.950,bicubic
 vit_small_patch16_224,95.370,4.630,99.150,0.850,22.05,224,0.900,bicubic
 resnet101,95.360,4.640,98.860,1.140,44.55,224,0.950,bicubic
 tf_efficientnet_b3_ap,95.320,4.680,98.900,1.100,12.23,300,0.904,bicubic
-mixer_b16_224_miil,95.300,4.700,98.880,1.120,59.88,224,0.875,bilinear
+mixer_b16_224_miil,95.310,4.690,98.870,1.130,59.88,224,0.875,bilinear
 tresnet_l,95.290,4.710,99.010,0.990,55.99,224,0.875,bilinear
-cait_xxs24_384,95.280,4.720,98.960,1.040,12.03,384,1.000,bicubic
-jx_nest_tiny,95.250,4.750,98.980,1.020,17.06,224,0.875,bicubic
+cait_xxs24_384,95.270,4.730,98.960,1.040,12.03,384,1.000,bicubic
 pit_s_distilled_224,95.240,4.760,99.050,0.950,24.04,224,0.900,bicubic
+jx_nest_tiny,95.240,4.760,98.980,1.020,17.06,224,0.875,bicubic
 twins_pcpvt_small,95.210,4.790,98.880,1.120,24.11,224,0.900,bicubic
 convit_small,95.200,4.800,98.900,1.100,27.78,224,0.875,bicubic
 twins_svt_small,95.200,4.800,98.880,1.120,24.06,224,0.900,bicubic
 tf_efficientnet_b1_ns,95.170,4.830,99.120,0.880,7.79,240,0.882,bicubic
-halonet50ts,95.160,4.840,98.770,1.230,22.73,256,0.940,bicubic
+swin_s3_tiny_224,95.160,4.840,98.940,1.060,28.33,224,0.900,bicubic
 tf_efficientnetv2_b3,95.160,4.840,98.820,1.180,14.36,300,0.904,bicubic
+halonet50ts,95.150,4.850,98.770,1.230,22.73,256,0.940,bicubic
 lamhalobotnet50ts_256,95.150,4.850,98.880,1.120,22.57,256,0.950,bicubic
+swin_tiny_patch4_window7_224,95.140,4.860,98.850,1.150,28.29,224,0.900,bicubic
 crossvit_15_240,95.140,4.860,98.930,1.070,27.53,240,0.875,bicubic
 xcit_tiny_12_p16_384_dist,95.130,4.870,99.020,0.980,6.72,384,1.000,bicubic
-swin_tiny_patch4_window7_224,95.130,4.870,98.850,1.150,28.29,224,0.900,bicubic
 efficientnet_el,95.120,4.880,98.980,1.020,10.59,300,0.904,bicubic
 gernet_l,95.100,4.900,98.900,1.100,31.08,256,0.875,bilinear
+poolformer_s36,95.090,4.910,98.910,1.090,30.86,224,0.900,bicubic
 xcit_tiny_12_p8_224_dist,95.090,4.910,98.910,1.090,6.71,224,1.000,bicubic
 ecaresnet101d_pruned,95.080,4.920,98.980,1.020,24.88,224,0.875,bicubic
 legacy_senet154,95.070,4.930,98.830,1.170,115.09,224,0.875,bilinear
-regnetz_b16,95.070,4.930,99.050,0.950,9.72,288,0.940,bicubic
 wide_resnet50_2,95.070,4.930,98.970,1.030,68.88,224,0.875,bicubic
+vit_small_patch32_384,95.060,4.940,98.990,1.010,22.92,384,1.000,bicubic
 convmixer_1536_20,95.060,4.940,99.030,0.970,51.63,224,0.960,bicubic
-vit_small_patch32_384,95.050,4.950,98.990,1.010,22.92,384,1.000,bicubic
+regnetz_b16,95.060,4.940,99.050,0.950,9.72,288,0.940,bicubic
 gluon_resnet152_v1s,95.040,4.960,98.930,1.070,60.32,224,0.875,bicubic
 tnt_s_patch16_224,95.040,4.960,98.840,1.160,23.76,224,0.900,bicubic
 seresnext50_32x4d,95.030,4.970,98.880,1.120,27.56,224,0.875,bicubic
@@ -233,14 +267,14 @@ gluon_seresnext101_64x4d,94.920,5.080,98.830,1.170,88.23,224,0.875,bicubic
 tf_efficientnet_lite4,94.890,5.110,99.020,0.980,13.01,380,0.920,bilinear
 resmlp_36_distilled_224,94.880,5.120,98.840,1.160,44.69,224,0.875,bicubic
 ssl_resnext50_32x4d,94.870,5.130,98.890,1.110,25.03,224,0.875,bilinear
-gcresnet50t,94.860,5.140,98.800,1.200,25.90,256,0.900,bicubic
+gcresnet50t,94.850,5.150,98.790,1.210,25.90,256,0.900,bicubic
 resnest50d,94.850,5.150,98.880,1.120,27.48,224,0.875,bilinear
 seresnet33ts,94.850,5.150,98.790,1.210,19.78,256,0.900,bicubic
 crossvit_small_240,94.830,5.170,99.020,0.980,26.86,240,0.875,bicubic
 lambda_resnet50ts,94.790,5.210,98.460,1.540,21.54,256,0.950,bicubic
 ecaresnetlight,94.770,5.230,98.800,1.200,30.16,224,0.875,bicubic
 sehalonet33ts,94.770,5.230,98.570,1.430,13.69,256,0.940,bicubic
-resnest50d_1s4x24d,94.750,5.250,98.980,1.020,25.68,224,0.875,bicubic
+resnest50d_1s4x24d,94.760,5.240,98.980,1.020,25.68,224,0.875,bicubic
 gluon_resnet152_v1d,94.740,5.260,98.740,1.260,60.21,224,0.875,bicubic
 gluon_resnet101_v1s,94.720,5.280,98.820,1.180,44.67,224,0.875,bicubic
 deit_small_distilled_patch16_224,94.710,5.290,99.030,0.970,22.44,224,0.900,bicubic
@@ -256,13 +290,14 @@ efficientnet_b2,94.610,5.390,98.710,1.290,9.11,288,1.000,bicubic
 pit_s_224,94.590,5.410,98.700,1.300,23.46,224,0.900,bicubic
 repvgg_b3,94.570,5.430,98.780,1.220,123.09,224,0.875,bilinear
 sebotnet33ts_256,94.570,5.430,98.500,1.500,13.70,256,0.940,bicubic
-nf_resnet50,94.550,5.450,98.790,1.210,25.56,288,0.940,bicubic
+poolformer_s24,94.550,5.450,98.880,1.120,21.39,224,0.900,bicubic
+resnext50_32x4d,94.550,5.450,98.610,1.390,25.03,224,0.950,bicubic
 seresnet50,94.550,5.450,98.750,1.250,28.09,224,0.875,bicubic
-regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
-resnext50_32x4d,94.540,5.460,98.610,1.390,25.03,224,0.950,bicubic
+nf_resnet50,94.550,5.450,98.790,1.210,25.56,288,0.940,bicubic
+inception_resnet_v2,94.550,5.450,98.780,1.220,55.84,299,0.897,bicubic
 gluon_resnext101_32x4d,94.540,5.460,98.630,1.370,44.18,224,0.875,bicubic
-inception_resnet_v2,94.540,5.460,98.790,1.210,55.84,299,0.897,bicubic
-xcit_tiny_24_p16_224_dist,94.530,5.470,98.780,1.220,12.12,224,1.000,bicubic
+regnety_320,94.540,5.460,98.850,1.150,145.05,224,0.875,bicubic
+xcit_tiny_24_p16_224_dist,94.540,5.460,98.780,1.220,12.12,224,1.000,bicubic
 repvgg_b3g4,94.520,5.480,98.970,1.030,83.83,224,0.875,bilinear
 convmixer_768_32,94.500,5.500,98.850,1.150,21.11,224,0.960,bicubic
 gcresnext50ts,94.490,5.510,98.670,1.330,15.67,256,0.900,bicubic
@@ -274,17 +309,17 @@ gcresnet33ts,94.470,5.530,98.770,1.230,19.88,256,0.900,bicubic
 regnetx_320,94.460,5.540,98.740,1.260,107.81,224,0.875,bicubic
 resmlp_24_distilled_224,94.460,5.540,98.770,1.230,30.02,224,0.875,bicubic
 ssl_resnet50,94.450,5.550,98.920,1.080,25.56,224,0.875,bilinear
-resnetv2_50,94.440,5.560,98.740,1.260,25.55,224,0.950,bicubic
+resnetv2_50,94.430,5.570,98.740,1.260,25.55,224,0.950,bicubic
 tf_efficientnetv2_b2,94.420,5.580,98.570,1.430,10.10,260,0.890,bicubic
-efficientnet_el_pruned,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
 tf_efficientnet_el,94.400,5.600,98.710,1.290,10.59,300,0.904,bicubic
+efficientnet_el_pruned,94.400,5.600,98.740,1.260,10.59,300,0.904,bicubic
 deit_small_patch16_224,94.390,5.610,98.690,1.310,22.05,224,0.900,bicubic
 inception_v4,94.380,5.620,98.580,1.420,42.68,299,0.875,bicubic
 legacy_seresnext101_32x4d,94.360,5.640,98.650,1.350,48.96,224,0.875,bilinear
-resnet50_gn,94.360,5.640,98.710,1.290,25.56,224,0.940,bicubic
 tf_efficientnet_b2,94.360,5.640,98.610,1.390,9.11,260,0.890,bicubic
+resnet50_gn,94.350,5.650,98.710,1.290,25.56,224,0.940,bicubic
+resnet50,94.340,5.660,98.440,1.560,25.56,224,0.950,bicubic
 gluon_seresnext50_32x4d,94.330,5.670,98.610,1.390,27.56,224,0.875,bicubic
-resnet50,94.330,5.670,98.440,1.560,25.56,224,0.950,bicubic
 ecaresnet26t,94.310,5.690,98.720,1.280,16.01,320,0.950,bicubic
 dpn107,94.300,5.700,98.470,1.530,86.92,224,0.875,bicubic
 resnetrs50,94.300,5.700,98.640,1.360,35.69,224,0.910,bicubic
@@ -294,7 +329,7 @@ gluon_xception65,94.260,5.740,98.570,1.430,39.92,299,0.903,bicubic
 resnet50d,94.260,5.740,98.720,1.280,25.58,224,0.875,bicubic
 skresnext50_32x4d,94.260,5.740,98.460,1.540,27.48,224,0.875,bicubic
 regnetx_120,94.240,5.760,98.650,1.350,46.11,224,0.875,bicubic
-gluon_resnet101_v1d,94.240,5.760,98.560,1.440,44.57,224,0.875,bicubic
+gluon_resnet101_v1d,94.230,5.770,98.560,1.440,44.57,224,0.875,bicubic
 dpn92,94.230,5.770,98.730,1.270,37.67,224,0.875,bicubic
 ecaresnet50d_pruned,94.220,5.780,98.730,1.270,19.94,224,0.875,bicubic
 resmlp_36_224,94.200,5.800,98.660,1.340,44.69,224,0.875,bicubic
@@ -302,29 +337,27 @@ tf_efficientnet_lite3,94.200,5.800,98.640,1.360,8.20,300,0.904,bilinear
 eca_resnet33ts,94.190,5.810,98.770,1.230,19.68,256,0.900,bicubic
 mixnet_xl,94.190,5.810,98.340,1.660,11.90,224,0.875,bicubic
 resnext50d_32x4d,94.180,5.820,98.570,1.430,25.05,224,0.875,bicubic
-regnety_080,94.170,5.830,98.680,1.320,39.18,224,0.875,bicubic
 levit_192,94.170,5.830,98.550,1.450,10.95,224,0.900,bicubic
 ens_adv_inception_resnet_v2,94.160,5.840,98.600,1.400,55.84,299,0.897,bicubic
 gluon_resnet152_v1c,94.160,5.840,98.640,1.360,60.21,224,0.875,bicubic
 gmlp_s16_224,94.150,5.850,98.500,1.500,19.42,224,0.875,bicubic
 efficientnet_b2_pruned,94.140,5.860,98.530,1.470,8.31,260,0.890,bicubic
-regnety_064,94.140,5.860,98.730,1.270,30.58,224,0.875,bicubic
 vit_base_patch16_224_sam,94.140,5.860,98.670,1.330,86.57,224,0.900,bicubic
-regnetx_160,94.120,5.880,98.740,1.260,54.28,224,0.875,bicubic
-nf_regnet_b1,94.120,5.880,98.630,1.370,10.22,288,0.900,bicubic
+regnetx_160,94.130,5.870,98.740,1.260,54.28,224,0.875,bicubic
+nf_regnet_b1,94.120,5.880,98.620,1.380,10.22,288,0.900,bicubic
 dpn98,94.110,5.890,98.580,1.420,61.57,224,0.875,bicubic
 ese_vovnet39b,94.090,5.910,98.660,1.340,24.57,224,0.875,bicubic
-gluon_resnet152_v1b,94.080,5.920,98.460,1.540,60.19,224,0.875,bicubic
 xcit_tiny_24_p16_224,94.070,5.930,98.510,1.490,12.12,224,1.000,bicubic
-coat_lite_mini,94.060,5.940,98.550,1.450,11.01,224,0.900,bicubic
-eca_halonext26ts,94.050,5.950,98.500,1.500,10.76,256,0.940,bicubic
+gluon_resnet152_v1b,94.070,5.930,98.460,1.540,60.19,224,0.875,bicubic
+coat_lite_mini,94.050,5.950,98.560,1.440,11.01,224,0.900,bicubic
+eca_halonext26ts,94.050,5.950,98.490,1.510,10.76,256,0.940,bicubic
 halonet26t,94.020,5.980,98.500,1.500,12.48,256,0.950,bicubic
 resmlp_24_224,94.020,5.980,98.330,1.670,30.02,224,0.875,bicubic
-hrnet_w64,94.010,5.990,98.620,1.380,128.06,224,0.875,bilinear
+hrnet_w64,94.010,5.990,98.610,1.390,128.06,224,0.875,bilinear
 dpn131,93.990,6.010,98.720,1.280,79.25,224,0.875,bicubic
-dla102x2,93.960,6.040,98.480,1.520,41.28,224,0.875,bilinear
-fbnetv3_b,93.960,6.040,98.630,1.370,8.60,256,0.950,bilinear
-resnetblur50,93.950,6.050,98.580,1.420,25.56,224,0.875,bicubic
+fbnetv3_b,93.970,6.030,98.630,1.370,8.60,256,0.950,bilinear
+dla102x2,93.960,6.040,98.490,1.510,41.28,224,0.875,bilinear
+resnetblur50,93.940,6.060,98.580,1.420,25.56,224,0.875,bicubic
 tf_efficientnetv2_b1,93.940,6.060,98.620,1.380,8.14,240,0.882,bicubic
 fbnetv3_d,93.930,6.070,98.740,1.260,10.31,256,0.950,bilinear
 hrnet_w48,93.920,6.080,98.610,1.390,77.47,224,0.875,bilinear
@@ -332,16 +365,14 @@ tf_efficientnet_cc_b1_8e,93.910,6.090,98.260,1.740,39.72,240,0.882,bicubic
 rexnet_130,93.900,6.100,98.400,1.600,7.56,224,0.875,bicubic
 regnetx_064,93.890,6.110,98.630,1.370,26.21,224,0.875,bicubic
 regnetx_080,93.870,6.130,98.520,1.480,39.57,224,0.875,bicubic
-regnety_040,93.860,6.140,98.650,1.350,20.65,224,0.875,bicubic
 repvgg_b2g4,93.840,6.160,98.590,1.410,61.76,224,0.875,bilinear
-efficientnet_em,93.830,6.170,98.810,1.190,6.90,240,0.882,bicubic
+efficientnet_em,93.840,6.160,98.810,1.190,6.90,240,0.882,bicubic
 lambda_resnet26t,93.830,6.170,98.650,1.350,10.96,256,0.940,bicubic
 pit_xs_distilled_224,93.820,6.180,98.670,1.330,11.00,224,0.900,bicubic
 resnext101_32x8d,93.820,6.180,98.580,1.420,88.79,224,0.875,bilinear
 gluon_resnext50_32x4d,93.810,6.190,98.410,1.590,25.03,224,0.875,bicubic
 eca_botnext26ts_256,93.780,6.220,98.500,1.500,10.59,256,0.950,bicubic
 gluon_resnet50_v1d,93.770,6.230,98.390,1.610,25.58,224,0.875,bicubic
-xception65,93.760,6.240,98.370,1.630,39.92,299,0.903,bicubic
 gluon_resnet101_v1b,93.750,6.250,98.380,1.620,44.55,224,0.875,bicubic
 res2net101_26w_4s,93.750,6.250,98.310,1.690,45.21,224,0.875,bilinear
 cspresnet50,93.740,6.260,98.640,1.360,21.62,256,0.887,bilinear
@@ -350,89 +381,91 @@ wide_resnet101_2,93.720,6.280,98.540,1.460,126.89,224,0.875,bilinear
 lambda_resnet26rpt_256,93.710,6.290,98.510,1.490,10.99,256,0.940,bicubic
 dpn68b,93.690,6.310,98.520,1.480,12.61,224,0.875,bicubic
 tf_efficientnet_b1_ap,93.690,6.310,98.360,1.640,7.79,240,0.882,bicubic
-gluon_resnet101_v1c,93.660,6.340,98.420,1.580,44.57,224,0.875,bicubic
-vit_tiny_patch16_384,93.650,6.350,98.600,1.400,5.79,384,1.000,bicubic
-tf_efficientnet_b0_ns,93.630,6.370,98.640,1.360,5.29,224,0.875,bicubic
+gluon_resnet101_v1c,93.670,6.330,98.420,1.580,44.57,224,0.875,bicubic
+vit_tiny_patch16_384,93.660,6.340,98.600,1.400,5.79,384,1.000,bicubic
+tf_efficientnet_b0_ns,93.640,6.360,98.640,1.360,5.29,224,0.875,bicubic
 gluon_resnet50_v1s,93.620,6.380,98.460,1.540,25.68,224,0.875,bicubic
-cait_xxs24_224,93.600,6.400,98.440,1.560,11.96,224,1.000,bicubic
+cait_xxs24_224,93.600,6.400,98.450,1.550,11.96,224,1.000,bicubic
 resnet33ts,93.600,6.400,98.540,1.460,19.68,256,0.900,bicubic
 coat_tiny,93.590,6.410,98.420,1.580,5.50,224,0.900,bicubic
 hrnet_w44,93.550,6.450,98.700,1.300,67.06,224,0.875,bilinear
 regnetx_040,93.550,6.450,98.550,1.450,22.12,224,0.875,bicubic
 hrnet_w32,93.530,6.470,98.460,1.540,41.23,224,0.875,bilinear
-dla102x,93.520,6.480,98.510,1.490,26.31,224,0.875,bilinear
-xcit_nano_12_p8_384_dist,93.520,6.480,98.540,1.460,3.05,384,1.000,bicubic
-tf_efficientnet_b1,93.500,6.500,98.360,1.640,7.79,240,0.882,bicubic
-botnet26t_256,93.500,6.500,98.300,1.700,12.49,256,0.950,bicubic
-repvgg_b2,93.490,6.510,98.730,1.270,89.02,224,0.875,bilinear
+botnet26t_256,93.510,6.490,98.300,1.700,12.49,256,0.950,bicubic
+dla102x,93.510,6.490,98.510,1.490,26.31,224,0.875,bilinear
+xcit_nano_12_p8_384_dist,93.500,6.500,98.540,1.460,3.05,384,1.000,bicubic
+repvgg_b2,93.500,6.500,98.730,1.270,89.02,224,0.875,bilinear
 hrnet_w40,93.490,6.510,98.580,1.420,57.56,224,0.875,bilinear
+tf_efficientnet_b1,93.490,6.510,98.360,1.640,7.79,240,0.882,bicubic
 resnet32ts,93.470,6.530,98.490,1.510,17.96,256,0.900,bicubic
 xception,93.470,6.530,98.530,1.470,22.86,299,0.897,bicubic
-gluon_inception_v3,93.460,6.540,98.570,1.430,23.83,299,0.875,bicubic
+gluon_inception_v3,93.450,6.550,98.570,1.430,23.83,299,0.875,bicubic
 mixnet_l,93.450,6.550,98.220,1.780,7.33,224,0.875,bicubic
 xception41,93.430,6.570,98.430,1.570,26.97,299,0.903,bicubic
 res2net50_26w_8s,93.410,6.590,98.180,1.820,48.40,224,0.875,bilinear
 res2net50_26w_6s,93.410,6.590,98.280,1.720,37.05,224,0.875,bilinear
-legacy_seresnet152,93.400,6.600,98.340,1.660,66.82,224,0.875,bilinear
-xcit_tiny_12_p16_224_dist,93.400,6.600,98.490,1.510,6.72,224,1.000,bicubic
+xcit_tiny_12_p16_224_dist,93.400,6.600,98.480,1.520,6.72,224,1.000,bicubic
+legacy_seresnet152,93.400,6.600,98.350,1.650,66.82,224,0.875,bilinear
 dla169,93.340,6.660,98.590,1.410,53.39,224,0.875,bilinear
 bat_resnext26ts,93.330,6.670,98.350,1.650,10.73,256,0.900,bicubic
-levit_128,93.330,6.670,98.380,1.620,9.21,224,0.900,bicubic
 repvgg_b1,93.330,6.670,98.510,1.490,57.42,224,0.875,bilinear
+tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
+tv_resnet152,93.320,6.680,98.390,1.610,60.19,224,0.875,bilinear
 tf_mixnet_l,93.320,6.680,98.030,1.970,7.33,224,0.875,bicubic
 resnest26d,93.320,6.680,98.630,1.370,17.07,224,0.875,bilinear
-tf_inception_v3,93.320,6.680,98.030,1.970,23.83,299,0.875,bicubic
-tv_resnet152,93.310,6.690,98.390,1.610,60.19,224,0.875,bilinear
+levit_128,93.320,6.680,98.380,1.620,9.21,224,0.900,bicubic
 legacy_seresnet101,93.300,6.700,98.510,1.490,49.33,224,0.875,bilinear
-selecsls60b,93.300,6.700,98.280,1.720,32.77,224,0.875,bicubic
+selecsls60b,93.290,6.710,98.280,1.720,32.77,224,0.875,bicubic
 efficientnet_b1,93.250,6.750,98.290,1.710,7.79,256,1.000,bicubic
 coat_lite_tiny,93.230,6.770,98.260,1.740,5.72,224,0.900,bicubic
 hrnet_w30,93.190,6.810,98.410,1.590,37.71,224,0.875,bilinear
 dla60_res2net,93.180,6.820,98.420,1.580,20.85,224,0.875,bilinear
 dla60_res2next,93.180,6.820,98.410,1.590,17.03,224,0.875,bilinear
+mobilevit_s,93.170,6.830,98.440,1.560,5.58,256,0.900,bicubic
 efficientnet_es,93.140,6.860,98.420,1.580,5.44,224,0.875,bicubic
-dla60x,93.120,6.880,98.510,1.490,17.35,224,0.875,bilinear
 regnetx_032,93.120,6.880,98.390,1.610,15.30,224,0.875,bicubic
-pit_xs_224,93.110,6.890,98.320,1.680,10.62,224,0.900,bicubic
+dla60x,93.110,6.890,98.510,1.490,17.35,224,0.875,bilinear
+pit_xs_224,93.110,6.890,98.330,1.670,10.62,224,0.900,bicubic
 tf_efficientnetv2_b0,93.110,6.890,98.390,1.610,7.14,224,0.875,bicubic
-dla102,93.060,6.940,98.550,1.450,33.27,224,0.875,bilinear
-rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
-regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
+dla102,93.060,6.940,98.540,1.460,33.27,224,0.875,bilinear
 gluon_resnet50_v1c,93.030,6.970,98.390,1.610,25.58,224,0.875,bicubic
+regnety_016,93.030,6.970,98.360,1.640,11.20,224,0.875,bicubic
+rexnet_100,93.030,6.970,98.190,1.810,4.80,224,0.875,bicubic
 selecsls60,93.020,6.980,98.310,1.690,30.67,224,0.875,bicubic
 repvgg_b1g4,92.980,7.020,98.430,1.570,39.97,224,0.875,bilinear
-legacy_seresnet50,92.960,7.040,98.190,1.810,28.09,224,0.875,bilinear
+legacy_seresnet50,92.960,7.040,98.180,1.820,28.09,224,0.875,bilinear
 hardcorenas_f,92.950,7.050,98.160,1.840,8.20,224,0.875,bilinear
 tf_efficientnet_em,92.930,7.070,98.200,1.800,6.90,240,0.882,bicubic
 adv_inception_v3,92.890,7.110,98.140,1.860,23.83,299,0.875,bicubic
-crossvit_9_dagger_240,92.890,7.110,98.230,1.770,8.78,240,0.875,bicubic
+crossvit_9_dagger_240,92.890,7.110,98.250,1.750,8.78,240,0.875,bicubic
 res2next50,92.860,7.140,98.190,1.810,24.67,224,0.875,bilinear
-gmixer_24_224,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic
 resmlp_12_distilled_224,92.830,7.170,98.140,1.860,15.35,224,0.875,bicubic
 tf_efficientnet_cc_b0_8e,92.830,7.170,98.180,1.820,24.01,224,0.875,bicubic
+gmixer_24_224,92.830,7.170,97.880,2.120,24.72,224,0.875,bicubic
 seresnext26t_32x4d,92.820,7.180,98.370,1.630,16.81,224,0.875,bicubic
 tv_resnet101,92.820,7.180,98.250,1.750,44.55,224,0.875,bilinear
-gcresnext26ts,92.780,7.220,98.260,1.740,10.48,256,0.900,bicubic
 efficientnet_b1_pruned,92.770,7.230,98.040,1.960,6.33,240,0.882,bicubic
+gcresnext26ts,92.770,7.230,98.260,1.740,10.48,256,0.900,bicubic
 densenet201,92.750,7.250,98.230,1.770,20.01,224,0.875,bicubic
 resnet26t,92.750,7.250,98.230,1.770,16.01,256,0.940,bicubic
 tv_resnext50_32x4d,92.750,7.250,98.270,1.730,25.03,224,0.875,bilinear
 res2net50_14w_8s,92.740,7.260,98.180,1.820,25.06,224,0.875,bilinear
 inception_v3,92.720,7.280,97.970,2.030,23.83,299,0.875,bicubic
+seresnext26d_32x4d,92.700,7.300,98.150,1.850,16.81,224,0.875,bicubic
 efficientnet_b0,92.690,7.310,98.070,1.930,5.29,224,0.875,bicubic
-seresnext26d_32x4d,92.690,7.310,98.150,1.850,16.81,224,0.875,bicubic
 seresnext26ts,92.690,7.310,98.290,1.710,10.39,256,0.900,bicubic
 resnet34d,92.680,7.320,98.310,1.690,21.82,224,0.875,bicubic
 tf_efficientnet_lite2,92.650,7.350,98.230,1.770,6.09,260,0.890,bicubic
 legacy_seresnext26_32x4d,92.640,7.360,98.130,1.870,16.79,224,0.875,bicubic
-tf_efficientnet_lite1,92.620,7.380,98.070,1.930,5.42,240,0.882,bicubic
+poolformer_s12,92.620,7.380,98.200,1.800,11.92,224,0.900,bicubic
+tf_efficientnet_lite1,92.620,7.380,98.080,1.920,5.42,240,0.882,bicubic
 eca_resnext26ts,92.610,7.390,98.260,1.740,10.30,256,0.900,bicubic
 tf_efficientnet_cc_b0_4e,92.600,7.400,98.080,1.920,13.31,224,0.875,bicubic
-hardcorenas_e,92.570,7.430,98.110,1.890,8.07,224,0.875,bilinear
+hardcorenas_e,92.580,7.420,98.110,1.890,8.07,224,0.875,bilinear
+res2net50_48w_2s,92.550,7.450,98.080,1.920,25.29,224,0.875,bilinear
 gluon_resnet50_v1b,92.540,7.460,98.170,1.830,25.56,224,0.875,bicubic
-res2net50_48w_2s,92.540,7.460,98.090,1.910,25.29,224,0.875,bilinear
+densenet161,92.500,7.500,98.290,1.710,28.68,224,0.875,bicubic
 xcit_tiny_12_p16_224,92.500,7.500,98.240,1.760,6.72,224,1.000,bicubic
-densenet161,92.490,7.510,98.290,1.710,28.68,224,0.875,bicubic
 res2net50_26w_4s,92.490,7.510,98.060,1.940,25.70,224,0.875,bilinear
 tinynet_a,92.440,7.560,98.080,1.920,6.19,192,0.875,bicubic
 mixnet_m,92.430,7.570,97.870,2.130,5.01,224,0.875,bicubic
@@ -443,9 +476,9 @@ skresnet34,92.390,7.610,98.150,1.850,22.28,224,0.875,bicubic
 tf_mixnet_m,92.330,7.670,97.890,2.110,5.01,224,0.875,bicubic
 hrnet_w18,92.320,7.680,98.250,1.750,21.30,224,0.875,bilinear
 ese_vovnet19b_dw,92.280,7.720,98.090,1.910,6.54,224,0.875,bicubic
-selecsls42b,92.280,7.720,98.140,1.860,32.46,224,0.875,bicubic
-mobilenetv3_large_100_miil,92.260,7.740,97.640,2.360,5.48,224,0.875,bilinear
-tf_efficientnet_b0,92.260,7.740,98.000,2.000,5.29,224,0.875,bicubic
+selecsls42b,92.280,7.720,98.130,1.870,32.46,224,0.875,bicubic
+mobilenetv3_large_100_miil,92.270,7.730,97.640,2.360,5.48,224,0.875,bilinear
+tf_efficientnet_b0,92.250,7.750,98.000,2.000,5.29,224,0.875,bicubic
 dla60,92.230,7.770,98.110,1.890,22.04,224,0.875,bilinear
 resmlp_12_224,92.210,7.790,98.160,1.840,15.35,224,0.875,bicubic
 tf_efficientnet_b0_ap,92.200,7.800,98.020,1.980,5.29,224,0.875,bicubic
@@ -453,28 +486,28 @@ regnetx_016,92.160,7.840,98.210,1.790,9.19,224,0.875,bicubic
 gernet_s,92.140,7.860,98.190,1.810,8.17,224,0.875,bilinear
 xcit_nano_12_p8_224_dist,92.100,7.900,98.160,1.840,3.05,224,1.000,bicubic
 resnet26d,92.070,7.930,97.970,2.030,16.01,224,0.875,bicubic
-vit_small_patch32_224,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic
 vit_tiny_r_s16_p8_384,92.040,7.960,98.290,1.710,6.36,384,1.000,bicubic
+vit_small_patch32_224,92.040,7.960,98.230,1.770,22.88,224,0.900,bicubic
 dpn68,92.030,7.970,98.050,1.950,12.61,224,0.875,bicubic
 hardcorenas_c,92.020,7.980,97.840,2.160,5.52,224,0.875,bilinear
-tf_efficientnet_es,91.980,8.020,97.870,2.130,5.44,224,0.875,bicubic
-levit_128s,91.960,8.040,98.060,1.940,7.78,224,0.900,bicubic
+tf_efficientnet_es,91.980,8.020,97.860,2.140,5.44,224,0.875,bicubic
+levit_128s,91.950,8.050,98.070,1.930,7.78,224,0.900,bicubic
 repvgg_a2,91.940,8.060,98.150,1.850,28.21,224,0.875,bilinear
-densenet169,91.920,8.080,98.100,1.900,14.15,224,0.875,bicubic
+densenet169,91.930,8.070,98.100,1.900,14.15,224,0.875,bicubic
 densenetblur121d,91.910,8.090,98.070,1.930,8.00,224,0.875,bicubic
-tv_resnet50,91.880,8.120,98.040,1.960,25.56,224,0.875,bilinear
+tv_resnet50,91.890,8.110,98.040,1.960,25.56,224,0.875,bilinear
 resnext26ts,91.870,8.130,97.920,2.080,10.30,256,0.900,bicubic
-mixer_b16_224,91.860,8.140,97.250,2.750,59.88,224,0.875,bicubic
+mixer_b16_224,91.870,8.130,97.250,2.750,59.88,224,0.875,bicubic
 mobilenetv2_140,91.840,8.160,97.850,2.150,6.11,224,0.875,bicubic
 mixnet_s,91.830,8.170,97.690,2.310,4.13,224,0.875,bicubic
 xcit_nano_12_p16_384_dist,91.830,8.170,98.020,1.980,3.05,384,1.000,bicubic
 hardcorenas_b,91.780,8.220,97.780,2.220,5.18,224,0.875,bilinear
-vit_tiny_patch16_224,91.760,8.240,98.040,1.960,5.72,224,0.900,bicubic
+vit_tiny_patch16_224,91.770,8.230,98.040,1.960,5.72,224,0.900,bicubic
 regnety_008,91.720,8.280,98.180,1.820,6.26,224,0.875,bicubic
 resnest14d,91.720,8.280,97.870,2.130,10.61,224,0.875,bilinear
 densenet121,91.580,8.420,98.030,1.970,7.98,224,0.875,bicubic
 tf_mixnet_s,91.510,8.490,97.620,2.380,4.13,224,0.875,bicubic
-repvgg_b0,91.420,8.580,97.990,2.010,15.82,224,0.875,bilinear
+repvgg_b0,91.430,8.570,97.990,2.010,15.82,224,0.875,bilinear
 regnety_006,91.380,8.620,97.710,2.290,6.06,224,0.875,bicubic
 hardcorenas_a,91.350,8.650,97.860,2.140,5.26,224,0.875,bilinear
 mobilenetv3_large_100,91.330,8.670,97.710,2.290,5.48,224,0.875,bicubic
@@ -483,50 +516,51 @@ tf_mobilenetv3_large_100,91.240,8.760,97.660,2.340,5.48,224,0.875,bilinear
 mobilenetv3_rw,91.210,8.790,97.660,2.340,5.48,224,0.875,bicubic
 hrnet_w18_small_v2,91.190,8.810,97.900,2.100,15.60,224,0.875,bilinear
 efficientnet_es_pruned,91.180,8.820,97.750,2.250,5.44,224,0.875,bicubic
-efficientnet_lite0,91.130,8.870,97.620,2.380,4.65,224,0.875,bicubic
 resnet34,91.130,8.870,97.620,2.380,21.80,224,0.875,bilinear
+efficientnet_lite0,91.120,8.880,97.620,2.380,4.65,224,0.875,bicubic
 resnet26,91.120,8.880,97.750,2.250,16.00,224,0.875,bicubic
 regnetx_008,91.050,8.950,97.710,2.290,7.26,224,0.875,bicubic
 tf_efficientnet_lite0,91.050,8.950,97.590,2.410,4.65,224,0.875,bicubic
-xcit_nano_12_p8_224,91.010,8.990,97.800,2.200,3.05,224,1.000,bicubic
+xcit_nano_12_p8_224,91.020,8.980,97.790,2.210,3.05,224,1.000,bicubic
 gluon_resnet34_v1b,90.960,9.040,97.640,2.360,21.80,224,0.875,bicubic
 mobilenetv2_110d,90.960,9.040,97.560,2.440,4.52,224,0.875,bicubic
 tinynet_b,90.930,9.070,97.670,2.330,3.73,188,0.875,bicubic
 legacy_seresnet34,90.900,9.100,97.580,2.420,21.96,224,0.875,bilinear
-pit_ti_distilled_224,90.900,9.100,97.710,2.290,5.10,224,0.900,bicubic
+pit_ti_distilled_224,90.900,9.100,97.720,2.280,5.10,224,0.900,bicubic
 tv_densenet121,90.890,9.110,97.710,2.290,7.98,224,0.875,bicubic
+mobilevit_xs,90.840,9.160,97.920,2.080,2.32,256,0.900,bicubic
 dla34,90.770,9.230,97.660,2.340,15.74,224,0.875,bilinear
 deit_tiny_distilled_patch16_224,90.710,9.290,97.570,2.430,5.91,224,0.900,bicubic
 fbnetc_100,90.710,9.290,97.210,2.790,5.57,224,0.875,bilinear
 swsl_resnet18,90.690,9.310,97.700,2.300,11.69,224,0.875,bilinear
-crossvit_9_240,90.640,9.360,97.740,2.260,8.55,240,0.875,bicubic
-convit_tiny,90.640,9.360,97.740,2.260,5.71,224,0.875,bicubic
+crossvit_9_240,90.650,9.350,97.740,2.260,8.55,240,0.875,bicubic
+convit_tiny,90.650,9.350,97.740,2.260,5.71,224,0.875,bicubic
 mnasnet_100,90.510,9.490,97.470,2.530,4.38,224,0.875,bicubic
 regnety_004,90.490,9.510,97.540,2.460,4.34,224,0.875,bicubic
-regnetx_006,90.350,9.650,97.430,2.570,6.20,224,0.875,bicubic
+regnetx_006,90.350,9.650,97.440,2.560,6.20,224,0.875,bicubic
 spnasnet_100,90.350,9.650,97.190,2.810,4.42,224,0.875,bilinear
-crossvit_tiny_240,90.250,9.750,97.590,2.410,7.01,240,0.875,bicubic
+crossvit_tiny_240,90.240,9.760,97.590,2.410,7.01,240,0.875,bicubic
 ssl_resnet18,90.220,9.780,97.550,2.450,11.69,224,0.875,bilinear
 vgg16_bn,90.090,9.910,97.370,2.630,138.37,224,0.875,bilinear
 vgg19_bn,90.080,9.920,97.580,2.420,143.68,224,0.875,bilinear
-semnasnet_075,90.080,9.920,97.430,2.570,2.91,224,0.875,bicubic
+semnasnet_075,90.070,9.930,97.430,2.570,2.91,224,0.875,bicubic
 ghostnet_100,90.030,9.970,97.370,2.630,5.18,224,0.875,bilinear
 pit_ti_224,89.950,10.050,97.450,2.550,4.85,224,0.900,bicubic
 tv_resnet34,89.930,10.070,97.340,2.660,21.80,224,0.875,bilinear
 vit_base_patch32_224_sam,89.750,10.250,97.000,3.000,88.22,224,0.900,bicubic
+deit_tiny_patch16_224,89.680,10.320,97.450,2.550,5.72,224,0.900,bicubic
 tf_mobilenetv3_large_075,89.680,10.320,97.210,2.790,3.99,224,0.875,bilinear
 xcit_nano_12_p16_224_dist,89.680,10.320,97.090,2.910,3.05,224,1.000,bicubic
-deit_tiny_patch16_224,89.670,10.330,97.440,2.560,5.72,224,0.900,bicubic
 skresnet18,89.660,10.340,97.230,2.770,11.96,224,0.875,bicubic
 mobilenetv2_100,89.610,10.390,97.150,2.850,3.50,224,0.875,bicubic
 resnet18d,89.270,10.730,97.140,2.860,11.71,224,0.875,bicubic
-vit_tiny_r_s16_p8_224,89.170,10.830,97.230,2.770,6.34,224,0.900,bicubic
+vit_tiny_r_s16_p8_224,89.180,10.820,97.230,2.770,6.34,224,0.900,bicubic
 hrnet_w18_small,89.050,10.950,97.110,2.890,13.19,224,0.875,bilinear
 vgg19,89.040,10.960,96.870,3.130,143.67,224,0.875,bilinear
 tf_mobilenetv3_large_minimal_100,88.960,11.040,96.860,3.140,3.92,224,0.875,bilinear
 regnetx_004,88.900,11.100,97.120,2.880,5.16,224,0.875,bicubic
 legacy_seresnet18,88.880,11.120,96.980,3.020,11.78,224,0.875,bicubic
-lcnet_100,88.790,11.210,96.730,3.270,2.95,224,0.875,bicubic
+lcnet_100,88.800,11.200,96.730,3.270,2.95,224,0.875,bicubic
 vgg13_bn,88.760,11.240,96.970,3.030,133.05,224,0.875,bilinear
 xcit_nano_12_p16_224,88.610,11.390,96.790,3.210,3.05,224,1.000,bicubic
 vgg16,88.550,11.450,96.790,3.210,138.36,224,0.875,bilinear
@@ -535,19 +569,23 @@ tinynet_c,87.770,12.230,96.370,3.630,2.46,184,0.875,bicubic
 vgg11_bn,87.500,12.500,96.820,3.180,132.87,224,0.875,bilinear
 resnet18,87.390,12.610,96.290,3.710,11.69,224,0.875,bilinear
 regnety_002,87.380,12.620,96.590,3.410,3.16,224,0.875,bicubic
+mobilevit_xxs,87.190,12.810,96.100,3.900,1.27,256,0.900,bicubic
 mixer_l16_224,87.150,12.850,93.510,6.490,208.20,224,0.875,bicubic
 vgg13,87.050,12.950,96.320,3.680,133.05,224,0.875,bilinear
 vgg11,86.550,13.450,96.280,3.720,132.86,224,0.875,bilinear
 dla60x_c,86.290,13.710,96.160,3.840,1.32,224,0.875,bilinear
 regnetx_002,86.190,13.810,95.980,4.020,2.68,224,0.875,bicubic
 lcnet_075,85.990,14.010,95.680,4.320,2.36,224,0.875,bicubic
+mobilenetv3_small_100,85.220,14.780,95.620,4.380,2.54,224,0.875,bicubic
 tf_mobilenetv3_small_100,85.210,14.790,95.770,4.230,2.54,224,0.875,bilinear
 tinynet_d,84.750,15.250,95.180,4.820,2.34,152,0.875,bicubic
+mnasnet_small,84.440,15.560,95.180,4.820,2.03,224,0.875,bicubic
 dla46x_c,84.250,15.750,95.270,4.730,1.07,224,0.875,bilinear
-mnasnet_small,83.990,16.010,94.920,5.080,2.03,224,0.875,bicubic
 mobilenetv2_050,83.890,16.110,94.710,5.290,1.97,224,0.875,bicubic
 dla46_c,83.650,16.350,94.920,5.080,1.30,224,0.875,bilinear
 tf_mobilenetv3_small_075,83.510,16.490,94.800,5.200,2.04,224,0.875,bilinear
+mobilenetv3_small_075,83.040,16.960,94.090,5.910,2.04,224,0.875,bicubic
 lcnet_050,81.780,18.220,93.710,6.290,1.88,224,0.875,bicubic
 tf_mobilenetv3_small_minimal_100,81.380,18.620,93.670,6.330,2.04,224,0.875,bilinear
 tinynet_e,78.900,21.100,92.560,7.440,2.04,106,0.875,bicubic
+mobilenetv3_small_050,76.990,23.010,91.300,8.700,1.59,224,0.875,bicubic

results/results-imagenet-r-clean.csv

@@ -1,46 +1,53 @@
 model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
 beit_large_patch16_384,97.810,2.190,99.790,0.210,305.00,384,1.000,bicubic
-beit_large_patch16_512,97.780,2.220,99.820,0.180,305.67,512,1.000,bicubic
 tf_efficientnet_l2_ns,97.780,2.220,99.890,0.110,480.31,800,0.960,bicubic
+beit_large_patch16_512,97.780,2.220,99.820,0.180,305.67,512,1.000,bicubic
 tf_efficientnet_l2_ns_475,97.750,2.250,99.820,0.180,480.31,475,0.936,bicubic
 convnext_xlarge_384_in22ft1k,97.550,2.450,99.800,0.200,350.20,384,1.000,bicubic
 beit_large_patch16_224,97.480,2.520,99.690,0.310,304.43,224,0.900,bicubic
 convnext_large_384_in22ft1k,97.440,2.560,99.780,0.220,197.77,384,1.000,bicubic
 vit_large_patch16_384,97.420,2.580,99.780,0.220,304.72,384,1.000,bicubic
 beit_base_patch16_384,97.330,2.670,99.720,0.280,86.74,384,1.000,bicubic
-convnext_base_384_in22ft1k,97.280,2.720,99.770,0.230,88.59,384,1.000,bicubic
+convnext_base_384_in22ft1k,97.290,2.710,99.780,0.220,88.59,384,1.000,bicubic
+volo_d5_512,97.290,2.710,99.760,0.240,296.09,512,1.150,bicubic
 convnext_large_in22ft1k,97.260,2.740,99.650,0.350,197.77,224,0.875,bicubic
 convnext_xlarge_in22ft1k,97.240,2.760,99.730,0.270,350.20,224,0.875,bicubic
+volo_d5_448,97.240,2.760,99.740,0.260,295.91,448,1.150,bicubic
 tf_efficientnet_b7_ns,97.200,2.800,99.700,0.300,66.35,600,0.949,bicubic
 swin_large_patch4_window12_384,97.180,2.820,99.680,0.320,196.74,384,1.000,bicubic
 tf_efficientnetv2_xl_in21ft1k,97.150,2.850,99.620,0.380,208.12,512,1.000,bicubic
 swin_base_patch4_window12_384,97.120,2.880,99.780,0.220,87.90,384,1.000,bicubic
 tf_efficientnetv2_l_in21ft1k,97.110,2.890,99.710,0.290,118.52,480,1.000,bicubic
-vit_base_patch8_224,97.080,2.920,99.620,0.380,86.58,224,0.900,bicubic
-tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
+vit_base_patch8_224,97.080,2.920,99.610,0.390,86.58,224,0.900,bicubic
+volo_d4_448,97.070,2.930,99.750,0.250,193.41,448,1.150,bicubic
+volo_d3_448,97.020,2.980,99.680,0.320,86.63,448,1.000,bicubic
 vit_base_patch16_384,97.020,2.980,99.710,0.290,86.86,384,1.000,bicubic
+tf_efficientnet_b6_ns,97.020,2.980,99.710,0.290,43.04,528,0.942,bicubic
 ig_resnext101_32x48d,96.970,3.030,99.670,0.330,828.41,224,0.875,bilinear
 tf_efficientnetv2_m_in21ft1k,96.970,3.030,99.610,0.390,54.14,480,1.000,bicubic
 swin_large_patch4_window7_224,96.950,3.050,99.660,0.340,196.53,224,0.900,bicubic
 vit_large_r50_s32_384,96.950,3.050,99.710,0.290,329.09,384,1.000,bicubic
 xcit_large_24_p16_384_dist,96.940,3.060,99.510,0.490,189.10,384,1.000,bicubic
 dm_nfnet_f6,96.920,3.080,99.720,0.280,438.36,576,0.956,bicubic
+volo_d5_224,96.880,3.120,99.670,0.330,295.46,224,0.960,bicubic
 cait_m48_448,96.880,3.120,99.620,0.380,356.46,448,1.000,bicubic
 resnetv2_152x4_bitm,96.880,3.120,99.660,0.340,936.53,480,1.000,bilinear
 tf_efficientnet_b5_ns,96.870,3.130,99.640,0.360,30.39,456,0.934,bicubic
-convnext_base_in22ft1k,96.860,3.140,99.650,0.350,88.59,224,0.875,bicubic
+convnext_base_in22ft1k,96.840,3.160,99.650,0.350,88.59,224,0.875,bicubic
 cait_m36_384,96.830,3.170,99.660,0.340,271.22,384,1.000,bicubic
+xcit_small_24_p8_384_dist,96.820,3.180,99.630,0.370,47.63,384,1.000,bicubic
 dm_nfnet_f5,96.810,3.190,99.670,0.330,377.21,544,0.954,bicubic
-xcit_small_24_p8_384_dist,96.810,3.190,99.630,0.370,47.63,384,1.000,bicubic
-xcit_medium_24_p8_384_dist,96.780,3.220,99.610,0.390,84.32,384,1.000,bicubic
 ig_resnext101_32x32d,96.780,3.220,99.530,0.470,468.53,224,0.875,bilinear
+xcit_medium_24_p8_384_dist,96.780,3.220,99.610,0.390,84.32,384,1.000,bicubic
+volo_d4_224,96.780,3.220,99.670,0.330,192.96,224,0.960,bicubic
 dm_nfnet_f4,96.780,3.220,99.620,0.380,316.07,512,0.951,bicubic
 xcit_large_24_p8_384_dist,96.760,3.240,99.560,0.440,188.93,384,1.000,bicubic
 dm_nfnet_f3,96.730,3.270,99.630,0.370,254.92,416,0.940,bicubic
 tf_efficientnet_b4_ns,96.710,3.290,99.640,0.360,19.34,380,0.922,bicubic
 vit_large_patch16_224,96.710,3.290,99.650,0.350,304.33,224,0.900,bicubic
-tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
+volo_d2_384,96.710,3.290,99.600,0.400,58.87,384,1.000,bicubic
 xcit_medium_24_p16_384_dist,96.700,3.300,99.600,0.400,84.40,384,1.000,bicubic
+tf_efficientnet_b8,96.700,3.300,99.530,0.470,87.41,672,0.954,bicubic
 swin_base_patch4_window7_224,96.680,3.320,99.660,0.340,87.77,224,0.900,bicubic
 beit_base_patch16_224,96.660,3.340,99.660,0.340,86.53,224,0.900,bicubic
 tf_efficientnetv2_l,96.650,3.350,99.560,0.440,118.52,480,1.000,bicubic
@@ -49,25 +56,30 @@ cait_s36_384,96.630,3.370,99.600,0.400,68.37,384,1.000,bicubic
 regnetz_e8,96.600,3.400,99.610,0.390,57.70,320,1.000,bicubic
 tf_efficientnet_b7,96.580,3.420,99.510,0.490,66.35,600,0.949,bicubic
 cait_s24_384,96.570,3.430,99.550,0.450,47.06,384,1.000,bicubic
-tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
 xcit_small_24_p8_224_dist,96.550,3.450,99.570,0.430,47.63,224,1.000,bicubic
+tf_efficientnet_b8_ap,96.550,3.450,99.540,0.460,87.41,672,0.954,bicubic
 tf_efficientnetv2_m,96.540,3.460,99.570,0.430,54.14,480,1.000,bicubic
 resnetv2_152x2_bitm,96.520,3.480,99.590,0.410,236.34,448,1.000,bilinear
 xcit_medium_24_p8_224_dist,96.520,3.480,99.510,0.490,84.32,224,1.000,bicubic
 deit_base_distilled_patch16_384,96.510,3.490,99.590,0.410,87.63,384,1.000,bicubic
 xcit_small_12_p8_384_dist,96.480,3.520,99.490,0.510,26.21,384,1.000,bicubic
 tf_efficientnetv2_s_in21ft1k,96.470,3.530,99.570,0.430,21.46,384,1.000,bicubic
-dm_nfnet_f2,96.460,3.540,99.540,0.460,193.78,352,0.920,bicubic
+volo_d1_384,96.470,3.530,99.550,0.450,26.78,384,1.000,bicubic
 ecaresnet269d,96.460,3.540,99.610,0.390,102.09,352,1.000,bicubic
+dm_nfnet_f2,96.460,3.540,99.540,0.460,193.78,352,0.920,bicubic
 eca_nfnet_l2,96.450,3.550,99.630,0.370,56.72,384,1.000,bicubic
 vit_base_r50_s16_384,96.450,3.550,99.660,0.340,98.95,384,1.000,bicubic
 ig_resnext101_32x16d,96.440,3.560,99.540,0.460,194.03,224,0.875,bilinear
+volo_d3_224,96.440,3.560,99.620,0.380,86.33,224,0.960,bicubic
+volo_d2_224,96.420,3.580,99.500,0.500,58.68,224,0.960,bicubic
 resnetrs420,96.400,3.600,99.540,0.460,191.89,416,1.000,bicubic
 dm_nfnet_f1,96.380,3.620,99.470,0.530,132.63,320,0.910,bicubic
 tf_efficientnet_b6_ap,96.370,3.630,99.550,0.450,43.04,528,0.942,bicubic
-resmlp_big_24_224_in22ft1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic
 tf_efficientnet_b7_ap,96.350,3.650,99.590,0.410,66.35,600,0.949,bicubic
+resmlp_big_24_224_in22ft1k,96.350,3.650,99.520,0.480,129.14,224,0.875,bicubic
+resnetrs200,96.340,3.660,99.550,0.450,93.21,320,1.000,bicubic
 xcit_small_24_p16_384_dist,96.340,3.660,99.580,0.420,47.67,384,1.000,bicubic
+regnetz_040h,96.330,3.670,99.520,0.480,28.94,320,1.000,bicubic
 xcit_small_12_p16_384_dist,96.330,3.670,99.490,0.510,26.25,384,1.000,bicubic
 xcit_large_24_p16_224_dist,96.320,3.680,99.500,0.500,189.10,224,1.000,bicubic
 seresnet152d,96.310,3.690,99.510,0.490,66.84,320,1.000,bicubic
@@ -76,34 +88,38 @@ tf_efficientnet_b6,96.290,3.710,99.520,0.480,43.04,528,0.942,bicubic
 swsl_resnext101_32x16d,96.280,3.720,99.500,0.500,194.03,224,0.875,bilinear
 efficientnetv2_rw_m,96.270,3.730,99.560,0.440,53.24,416,1.000,bicubic
 resnetv2_50x3_bitm,96.270,3.730,99.630,0.370,217.32,448,1.000,bilinear
-xcit_medium_24_p16_224_dist,96.260,3.740,99.400,0.600,84.40,224,1.000,bicubic
+xcit_medium_24_p16_224_dist,96.260,3.740,99.410,0.590,84.40,224,1.000,bicubic
 resnetv2_101x3_bitm,96.250,3.750,99.580,0.420,387.93,448,1.000,bilinear
 resnetrs350,96.240,3.760,99.470,0.530,163.96,384,1.000,bicubic
 swsl_resnext101_32x8d,96.240,3.760,99.590,0.410,88.79,224,0.875,bilinear
-xcit_tiny_24_p8_384_dist,96.240,3.760,99.440,0.560,12.11,384,1.000,bicubic
+xcit_tiny_24_p8_384_dist,96.230,3.770,99.440,0.560,12.11,384,1.000,bicubic
+regnetz_d8_evos,96.220,3.780,99.490,0.510,23.46,320,0.950,bicubic
 resnetv2_152x2_bit_teacher_384,96.190,3.810,99.500,0.500,236.34,384,1.000,bicubic
+regnetz_040,96.180,3.820,99.510,0.490,27.12,320,1.000,bicubic
 vit_large_r50_s32_224,96.180,3.820,99.530,0.470,328.99,224,0.900,bicubic
-crossvit_18_dagger_408,96.130,3.870,99.470,0.530,44.61,408,1.000,bicubic
-resnest269e,96.130,3.870,99.520,0.480,110.93,416,0.928,bicubic
+crossvit_18_dagger_408,96.140,3.860,99.470,0.530,44.61,408,1.000,bicubic
+seresnext101_32x8d,96.130,3.870,99.360,0.640,93.57,288,1.000,bicubic
+resnest269e,96.120,3.880,99.520,0.480,110.93,416,0.928,bicubic
 resnet200d,96.110,3.890,99.460,0.540,64.69,320,1.000,bicubic
 tf_efficientnet_b3_ns,96.100,3.900,99.480,0.520,12.23,300,0.904,bicubic
-tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
 xcit_large_24_p8_224,96.080,3.920,99.150,0.850,188.93,224,1.000,bicubic
+tf_efficientnet_b5_ap,96.080,3.920,99.540,0.460,30.39,456,0.934,bicubic
 pit_b_distilled_224,96.070,3.930,99.380,0.620,74.79,224,0.900,bicubic
 resnest200e,96.070,3.930,99.480,0.520,70.20,320,0.909,bicubic
 resnetrs270,96.060,3.940,99.480,0.520,129.86,352,1.000,bicubic
 vit_small_r26_s32_384,96.060,3.940,99.550,0.450,36.47,384,1.000,bicubic
-swsl_resnext101_32x4d,96.040,3.960,99.530,0.470,44.18,224,0.875,bilinear
+swsl_resnext101_32x4d,96.050,3.950,99.530,0.470,44.18,224,0.875,bilinear
+swin_s3_base_224,96.040,3.960,99.350,0.650,71.13,224,0.900,bicubic
 vit_base_patch16_224_miil,96.030,3.970,99.350,0.650,86.54,224,0.875,bilinear
+volo_d1_224,96.030,3.970,99.390,0.610,26.63,224,0.960,bicubic
 convnext_large,96.020,3.980,99.470,0.530,197.77,224,0.875,bicubic
 cait_xs24_384,96.010,3.990,99.430,0.570,26.67,384,1.000,bicubic
 regnetz_d8,96.010,3.990,99.520,0.480,23.37,320,1.000,bicubic
-resnetrs200,95.990,4.010,99.440,0.560,93.21,320,1.000,bicubic
 tf_efficientnet_b5,95.980,4.020,99.450,0.550,30.39,456,0.934,bicubic
 vit_small_patch16_384,95.980,4.020,99.590,0.410,22.20,384,1.000,bicubic
 resnetrs152,95.960,4.040,99.380,0.620,86.62,320,1.000,bicubic
 xcit_small_12_p8_224_dist,95.960,4.040,99.420,0.580,26.21,224,1.000,bicubic
-convnext_base,95.950,4.050,99.380,0.620,88.59,224,0.875,bicubic
+convnext_base,95.940,4.060,99.380,0.620,88.59,224,0.875,bicubic
 ig_resnext101_32x8d,95.940,4.060,99.380,0.620,88.79,224,0.875,bilinear
 eca_nfnet_l1,95.930,4.070,99.490,0.510,41.41,320,1.000,bicubic
 xcit_small_24_p8_224,95.910,4.090,99.180,0.820,47.63,224,1.000,bicubic
@@ -113,42 +129,52 @@ resmlp_big_24_distilled_224,95.870,4.130,99.440,0.560,129.14,224,0.875,bicubic
 resnet152d,95.870,4.130,99.430,0.570,60.21,320,1.000,bicubic
 xcit_medium_24_p8_224,95.870,4.130,99.080,0.920,84.32,224,1.000,bicubic
 regnetz_d32,95.860,4.140,99.430,0.570,27.58,320,0.950,bicubic
+regnety_080,95.850,4.150,99.440,0.560,39.18,288,1.000,bicubic
+swin_s3_small_224,95.830,4.170,99.200,0.800,49.74,224,0.900,bicubic
 crossvit_15_dagger_408,95.820,4.180,99.310,0.690,28.50,408,1.000,bicubic
 xcit_small_24_p16_224_dist,95.800,4.200,99.340,0.660,47.67,224,1.000,bicubic
+regnety_064,95.790,4.210,99.290,0.710,30.58,288,1.000,bicubic
+regnetv_064,95.770,4.230,99.420,0.580,30.58,288,1.000,bicubic
 deit_base_distilled_patch16_224,95.750,4.250,99.280,0.720,87.34,224,0.900,bicubic
 resnet101d,95.750,4.250,99.440,0.560,44.57,320,1.000,bicubic
 resnetv2_152x2_bit_teacher,95.750,4.250,99.430,0.570,236.34,224,0.875,bicubic
 xcit_small_12_p16_224_dist,95.740,4.260,99.300,0.700,26.25,224,1.000,bicubic
-twins_svt_large,95.720,4.280,99.370,0.630,99.27,224,0.900,bicubic
-twins_pcpvt_large,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic
+regnetv_040,95.730,4.270,99.380,0.620,20.64,288,1.000,bicubic
 swin_small_patch4_window7_224,95.720,4.280,99.290,0.710,49.61,224,0.900,bicubic
+twins_pcpvt_large,95.720,4.280,99.490,0.510,60.99,224,0.900,bicubic
+twins_svt_large,95.720,4.280,99.370,0.630,99.27,224,0.900,bicubic
 tf_efficientnetv2_s,95.710,4.290,99.400,0.600,21.46,384,1.000,bicubic
 efficientnetv2_rw_s,95.700,4.300,99.380,0.620,23.94,384,1.000,bicubic
 dm_nfnet_f0,95.690,4.310,99.330,0.670,71.49,256,0.900,bicubic
-cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic
+xception65,95.690,4.310,99.310,0.690,39.92,299,0.940,bicubic
+xception65p,95.650,4.350,99.270,0.730,39.82,299,0.940,bicubic
 deit_base_patch16_384,95.650,4.350,99.240,0.760,86.86,384,1.000,bicubic
-convnext_small,95.630,4.370,99.260,0.740,50.22,224,0.875,bicubic
+cait_s24_224,95.650,4.350,99.390,0.610,46.92,224,1.000,bicubic
+regnetz_c16_evos,95.630,4.370,99.420,0.580,13.49,320,0.950,bicubic
+convnext_small,95.610,4.390,99.260,0.740,50.22,224,0.875,bicubic
 swsl_resnext50_32x4d,95.600,4.400,99.440,0.560,25.03,224,0.875,bilinear
 tf_efficientnet_b4,95.590,4.410,99.330,0.670,19.34,380,0.922,bicubic
+resnet152,95.570,4.430,99.270,0.730,60.19,224,0.950,bicubic
 twins_svt_base,95.570,4.430,99.230,0.770,56.07,224,0.900,bicubic
 resnest101e,95.560,4.440,99.270,0.730,48.28,256,0.875,bilinear
-resnet152,95.560,4.440,99.270,0.730,60.19,224,0.950,bicubic
 jx_nest_base,95.540,4.460,99.300,0.700,67.72,224,0.875,bicubic
-jx_nest_small,95.540,4.460,99.220,0.780,38.35,224,0.875,bicubic
-efficientnet_b4,95.520,4.480,99.400,0.600,19.34,384,1.000,bicubic
+resnext101_64x4d,95.540,4.460,99.290,0.710,83.46,288,1.000,bicubic
+efficientnet_b4,95.530,4.470,99.400,0.600,19.34,384,1.000,bicubic
+jx_nest_small,95.530,4.470,99.210,0.790,38.35,224,0.875,bicubic
 tf_efficientnet_b2_ns,95.520,4.480,99.340,0.660,9.11,260,0.890,bicubic
 tresnet_xl_448,95.510,4.490,99.340,0.660,78.44,448,0.875,bilinear
 tf_efficientnet_b4_ap,95.490,4.510,99.390,0.610,19.34,380,0.922,bicubic
 regnety_032,95.480,4.520,99.320,0.680,19.44,288,1.000,bicubic
+regnety_040,95.480,4.520,99.420,0.580,20.65,288,1.000,bicubic
 xcit_tiny_24_p16_384_dist,95.480,4.520,99.360,0.640,12.12,384,1.000,bicubic
-twins_pcpvt_base,95.460,4.540,99.390,0.610,43.83,224,0.900,bicubic
 xcit_tiny_24_p8_224_dist,95.460,4.540,99.360,0.640,12.11,224,1.000,bicubic
+twins_pcpvt_base,95.460,4.540,99.390,0.610,43.83,224,0.900,bicubic
 eca_nfnet_l0,95.450,4.550,99.390,0.610,24.14,288,1.000,bicubic
 xcit_small_12_p8_224,95.420,4.580,99.200,0.800,26.21,224,1.000,bicubic
 ssl_resnext101_32x16d,95.410,4.590,99.410,0.590,194.03,224,0.875,bilinear
+regnetz_c16,95.400,4.600,99.310,0.690,13.46,320,0.940,bicubic
 tresnet_l_448,95.400,4.600,99.300,0.700,55.99,448,0.875,bilinear
 nfnet_l0,95.390,4.610,99.420,0.580,35.07,288,1.000,bicubic
-regnetz_c16,95.390,4.610,99.310,0.690,13.46,320,0.940,bicubic
 resnetv2_50x1_bit_distilled,95.390,4.610,99.430,0.570,25.55,224,0.875,bicubic
 tresnet_m,95.380,4.620,99.150,0.850,31.39,224,0.875,bilinear
 pnasnet5large,95.360,4.640,99.130,0.870,86.06,331,0.911,bicubic
@@ -158,64 +184,71 @@ resnetv2_101x1_bitm,95.320,4.680,99.370,0.630,44.54,448,1.000,bilinear
 gc_efficientnetv2_rw_t,95.280,4.720,99.220,0.780,13.68,288,1.000,bicubic
 resnetrs101,95.250,4.750,99.210,0.790,63.62,288,0.940,bicubic
 vit_large_patch32_384,95.240,4.760,99.320,0.680,306.63,384,1.000,bicubic
-cait_xxs36_384,95.230,4.770,99.320,0.680,17.37,384,1.000,bicubic
+cait_xxs36_384,95.230,4.770,99.330,0.670,17.37,384,1.000,bicubic
 levit_384,95.210,4.790,99.160,0.840,39.13,224,0.900,bicubic
-resnet51q,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear
 swsl_resnet50,95.200,4.800,99.390,0.610,25.56,224,0.875,bilinear
+resnet51q,95.200,4.800,99.280,0.720,35.70,288,1.000,bilinear
 crossvit_18_dagger_240,95.190,4.810,99.120,0.880,44.27,240,0.875,bicubic
 ecaresnet101d,95.160,4.840,99.230,0.770,44.57,224,0.875,bicubic
 ssl_resnext101_32x4d,95.160,4.840,99.310,0.690,44.18,224,0.875,bilinear
 nasnetalarge,95.150,4.850,99.130,0.870,88.75,331,0.911,bicubic
-efficientnet_b3,95.130,4.870,99.210,0.790,12.23,320,1.000,bicubic
-fbnetv3_g,95.130,4.870,99.200,0.800,16.62,288,0.950,bilinear
+efficientnet_b3,95.140,4.860,99.210,0.790,12.23,320,1.000,bicubic
 vit_small_r26_s32_224,95.130,4.870,99.220,0.780,36.43,224,0.900,bicubic
 xcit_medium_24_p16_224,95.130,4.870,98.920,1.080,84.40,224,1.000,bicubic
+poolformer_m48,95.130,4.870,99.120,0.880,73.47,224,0.950,bicubic
+fbnetv3_g,95.130,4.870,99.200,0.800,16.62,288,0.950,bilinear
 tf_efficientnetv2_b3,95.120,4.880,99.200,0.800,14.36,300,0.904,bicubic
+resnetv2_50d_evos,95.120,4.880,99.230,0.770,25.59,288,0.950,bicubic
 resnet61q,95.110,4.890,99.080,0.920,36.85,288,1.000,bicubic
 convit_base,95.100,4.900,99.140,0.860,86.54,224,0.875,bicubic
-xcit_small_24_p16_224,95.080,4.920,99.060,0.940,47.67,224,1.000,bicubic
+resnetv2_50d_gn,95.100,4.900,99.060,0.940,25.57,288,0.950,bicubic
 coat_lite_small,95.080,4.920,99.030,0.970,19.84,224,0.900,bicubic
-crossvit_18_240,95.070,4.930,99.120,0.880,43.27,240,0.875,bicubic
-crossvit_base_240,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic
+xcit_small_24_p16_224,95.080,4.920,99.060,0.940,47.67,224,1.000,bicubic
 ecaresnet50t,95.070,4.930,99.290,0.710,25.57,320,0.950,bicubic
 efficientnetv2_rw_t,95.070,4.930,99.220,0.780,13.65,288,1.000,bicubic
+crossvit_base_240,95.070,4.930,98.980,1.020,105.03,240,0.875,bicubic
+crossvit_18_240,95.070,4.930,99.120,0.880,43.27,240,0.875,bicubic
 tresnet_xl,95.060,4.940,99.260,0.740,78.44,224,0.875,bilinear
-halo2botnet50ts_256,95.010,4.990,99.040,0.960,22.64,256,0.950,bicubic
+xception41p,95.060,4.940,99.150,0.850,26.91,299,0.940,bicubic
 deit_base_patch16_224,95.010,4.990,98.980,1.020,86.57,224,0.900,bicubic
-convnext_tiny,94.990,5.010,99.200,0.800,28.59,224,0.875,bicubic
+halo2botnet50ts_256,95.010,4.990,99.040,0.960,22.64,256,0.950,bicubic
+poolformer_m36,95.010,4.990,99.100,0.900,56.17,224,0.950,bicubic
 crossvit_15_dagger_240,94.980,5.020,99.160,0.840,28.21,240,0.875,bicubic
 convmixer_1536_20,94.970,5.030,99.170,0.830,51.63,224,0.960,bicubic
-resnet101,94.970,5.030,99.080,0.920,44.55,224,0.950,bicubic
 tf_efficientnet_b3_ap,94.970,5.030,99.110,0.890,12.23,300,0.904,bicubic
+convnext_tiny,94.960,5.040,99.200,0.800,28.59,224,0.875,bicubic
+resnet101,94.960,5.040,99.080,0.920,44.55,224,0.950,bicubic
 visformer_small,94.960,5.040,99.210,0.790,40.22,224,0.900,bicubic
-xcit_large_24_p16_224,94.950,5.050,98.830,1.170,189.10,224,1.000,bicubic
 jx_nest_tiny,94.950,5.050,99.100,0.900,17.06,224,0.875,bicubic
+xcit_large_24_p16_224,94.950,5.050,98.830,1.170,189.10,224,1.000,bicubic
 cait_xxs24_384,94.940,5.060,99.130,0.870,12.03,384,1.000,bicubic
+resnetv2_101,94.930,5.070,99.130,0.870,44.54,224,0.950,bicubic
 gernet_l,94.930,5.070,99.200,0.800,31.08,256,0.875,bilinear
-resnetv2_101,94.930,5.070,99.120,0.880,44.54,224,0.950,bicubic
 convit_small,94.920,5.080,99.100,0.900,27.78,224,0.875,bicubic
 tf_efficientnet_b3,94.910,5.090,99.110,0.890,12.23,300,0.904,bicubic
+swin_s3_tiny_224,94.910,5.090,99.160,0.840,28.33,224,0.900,bicubic
 tresnet_l,94.900,5.100,99.030,0.970,55.99,224,0.875,bilinear
+xcit_tiny_24_p8_224,94.890,5.110,99.190,0.810,12.11,224,1.000,bicubic
 mixer_b16_224_miil,94.880,5.120,99.080,0.920,59.88,224,0.875,bilinear
 vit_small_patch16_224,94.880,5.120,99.270,0.730,22.05,224,0.900,bicubic
-xcit_tiny_24_p8_224,94.880,5.120,99.190,0.810,12.11,224,1.000,bicubic
 tf_efficientnet_lite4,94.870,5.130,99.090,0.910,13.01,380,0.920,bilinear
 tf_efficientnet_b1_ns,94.860,5.140,99.250,0.750,7.79,240,0.882,bicubic
 xcit_small_12_p16_224,94.820,5.180,99.060,0.940,26.25,224,1.000,bicubic
-seresnext50_32x4d,94.810,5.190,99.130,0.870,27.56,224,0.875,bicubic
+seresnext50_32x4d,94.800,5.200,99.130,0.870,27.56,224,0.875,bicubic
 pit_b_224,94.790,5.210,98.820,1.180,73.76,224,0.900,bicubic
 lamhalobotnet50ts_256,94.780,5.220,98.980,1.020,22.57,256,0.950,bicubic
-twins_svt_small,94.770,5.230,99.080,0.920,24.06,224,0.900,bicubic
 coat_mini,94.770,5.230,98.950,1.050,10.34,224,0.900,bicubic
+convnext_tiny_hnf,94.770,5.230,99.160,0.840,28.59,224,0.950,bicubic
+twins_svt_small,94.770,5.230,99.080,0.920,24.06,224,0.900,bicubic
 resnetv2_50x1_bitm,94.750,5.250,99.180,0.820,25.55,448,1.000,bilinear
-pit_s_distilled_224,94.750,5.250,99.180,0.820,24.04,224,0.900,bicubic
+pit_s_distilled_224,94.740,5.260,99.180,0.820,24.04,224,0.900,bicubic
+xcit_tiny_12_p8_224_dist,94.730,5.270,99.180,0.820,6.71,224,1.000,bicubic
 legacy_senet154,94.730,5.270,99.100,0.900,115.09,224,0.875,bilinear
-crossvit_15_240,94.720,5.280,99.080,0.920,27.53,240,0.875,bicubic
+gluon_resnet152_v1s,94.720,5.280,99.060,0.940,60.32,224,0.875,bicubic
+crossvit_15_240,94.710,5.290,99.070,0.930,27.53,240,0.875,bicubic
 gluon_senet154,94.710,5.290,98.970,1.030,115.09,224,0.875,bicubic
 halonet50ts,94.710,5.290,98.820,1.180,22.73,256,0.940,bicubic
-resnest50d_4s2x40d,94.710,5.290,99.130,0.870,30.42,224,0.875,bicubic
-xcit_tiny_12_p8_224_dist,94.710,5.290,99.180,0.820,6.71,224,1.000,bicubic
-gluon_resnet152_v1s,94.700,5.300,99.060,0.940,60.32,224,0.875,bicubic
+resnest50d_4s2x40d,94.710,5.290,99.140,0.860,30.42,224,0.875,bicubic
 ssl_resnext50_32x4d,94.700,5.300,99.240,0.760,25.03,224,0.875,bilinear
 regnetz_b16,94.680,5.320,99.160,0.840,9.72,288,0.940,bicubic
 efficientnet_el,94.670,5.330,99.130,0.870,10.59,300,0.904,bicubic
@@ -225,6 +258,7 @@ wide_resnet50_2,94.660,5.340,99.050,0.950,68.88,224,0.875,bicubic
 tresnet_m_448,94.650,5.350,99.150,0.850,31.39,448,0.875,bilinear
 resnest50d,94.620,5.380,99.030,0.970,27.48,224,0.875,bilinear
 swin_tiny_patch4_window7_224,94.620,5.380,99.120,0.880,28.29,224,0.900,bicubic
+poolformer_s36,94.620,5.380,99.050,0.950,30.86,224,0.900,bicubic
 gcresnet50t,94.620,5.380,98.980,1.020,25.90,256,0.900,bicubic
 deit_small_distilled_patch16_224,94.600,5.400,99.100,0.900,22.44,224,0.900,bicubic
 twins_pcpvt_small,94.600,5.400,99.150,0.850,24.11,224,0.900,bicubic
@@ -232,16 +266,16 @@ vit_small_patch32_384,94.600,5.400,99.140,0.860,22.92,384,1.000,bicubic
 pit_s_224,94.590,5.410,98.920,1.080,23.46,224,0.900,bicubic
 crossvit_small_240,94.580,5.420,99.120,0.880,26.86,240,0.875,bicubic
 efficientnet_b3_pruned,94.580,5.420,99.070,0.930,9.86,300,0.904,bicubic
-lambda_resnet50ts,94.570,5.430,98.650,1.350,21.54,256,0.950,bicubic
+tnt_s_patch16_224,94.580,5.420,99.180,0.820,23.76,224,0.900,bicubic
 resnext50_32x4d,94.570,5.430,98.800,1.200,25.03,224,0.950,bicubic
-tnt_s_patch16_224,94.570,5.430,99.180,0.820,23.76,224,0.900,bicubic
+lambda_resnet50ts,94.570,5.430,98.650,1.350,21.54,256,0.950,bicubic
 repvgg_b3,94.560,5.440,98.910,1.090,123.09,224,0.875,bilinear
 gernet_m,94.550,5.450,98.930,1.070,21.14,224,0.875,bilinear
 resmlp_36_distilled_224,94.550,5.450,99.160,0.840,44.69,224,0.875,bicubic
-sehalonet33ts,94.530,5.470,98.760,1.240,13.69,256,0.940,bicubic
 xcit_tiny_12_p16_384_dist,94.530,5.470,99.170,0.830,6.72,384,1.000,bicubic
+haloregnetz_b,94.520,5.480,98.970,1.030,11.68,224,0.940,bicubic
 regnety_320,94.520,5.480,99.170,0.830,145.05,224,0.875,bicubic
-haloregnetz_b,94.520,5.480,98.960,1.040,11.68,224,0.940,bicubic
+sehalonet33ts,94.520,5.480,98.750,1.250,13.69,256,0.940,bicubic
 repvgg_b3g4,94.500,5.500,99.020,0.980,83.83,224,0.875,bilinear
 ecaresnet101d_pruned,94.450,5.550,99.100,0.900,24.88,224,0.875,bicubic
 gluon_seresnext101_32x4d,94.450,5.550,99.090,0.910,48.96,224,0.875,bicubic
@@ -249,105 +283,102 @@ gluon_resnet152_v1d,94.440,5.560,99.010,0.990,60.21,224,0.875,bicubic
 convmixer_768_32,94.430,5.570,99.110,0.890,21.11,224,0.960,bicubic
 gcresnext50ts,94.410,5.590,98.990,1.010,15.67,256,0.900,bicubic
 levit_256,94.400,5.600,99.060,0.940,18.89,224,0.900,bicubic
-resnest50d_1s4x24d,94.390,5.610,99.070,0.930,25.68,224,0.875,bicubic
+nf_resnet50,94.390,5.610,99.070,0.930,25.56,288,0.940,bicubic
 vit_base_patch32_224,94.390,5.610,99.060,0.940,88.22,224,0.900,bicubic
+resnest50d_1s4x24d,94.380,5.620,99.070,0.930,25.68,224,0.875,bicubic
 inception_v4,94.380,5.620,98.820,1.180,42.68,299,0.875,bicubic
-nf_resnet50,94.380,5.620,99.070,0.930,25.56,288,0.940,bicubic
 efficientnet_b2,94.370,5.630,99.050,0.950,9.11,288,1.000,bicubic
 tf_efficientnet_el,94.360,5.640,99.100,0.900,10.59,300,0.904,bicubic
 xcit_tiny_12_p8_224,94.360,5.640,99.070,0.930,6.71,224,1.000,bicubic
 gluon_resnext101_64x4d,94.350,5.650,98.880,1.120,83.46,224,0.875,bicubic
-resmlp_24_distilled_224,94.340,5.660,99.090,0.910,30.02,224,0.875,bicubic
 inception_resnet_v2,94.340,5.660,98.800,1.200,55.84,299,0.897,bicubic
-sebotnet33ts_256,94.310,5.690,98.600,1.400,13.70,256,0.940,bicubic
+resmlp_24_distilled_224,94.340,5.660,99.090,0.910,30.02,224,0.875,bicubic
+poolformer_s24,94.330,5.670,99.060,0.940,21.39,224,0.900,bicubic
 ssl_resnet50,94.310,5.690,99.150,0.850,25.56,224,0.875,bilinear
+sebotnet33ts_256,94.310,5.690,98.590,1.410,13.70,256,0.940,bicubic
 resmlp_big_24_224,94.270,5.730,98.820,1.180,129.14,224,0.875,bicubic
+tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
 resnetv2_50,94.270,5.730,98.930,1.070,25.55,224,0.950,bicubic
-rexnet_150,94.270,5.730,99.080,0.920,9.73,224,0.875,bicubic
 seresnet33ts,94.270,5.730,98.780,1.220,19.78,256,0.900,bicubic
-tf_efficientnet_b2_ap,94.270,5.730,98.950,1.050,9.11,260,0.890,bicubic
 regnetx_120,94.260,5.740,99.190,0.810,46.11,224,0.875,bicubic
+rexnet_150,94.260,5.740,99.080,0.920,9.73,224,0.875,bicubic
 mixnet_xl,94.230,5.770,98.820,1.180,11.90,224,0.875,bicubic
 regnetx_320,94.220,5.780,99.050,0.950,107.81,224,0.875,bicubic
+xcit_tiny_24_p16_224_dist,94.220,5.780,98.960,1.040,12.12,224,1.000,bicubic
 tf_efficientnet_b2,94.210,5.790,99.030,0.970,9.11,260,0.890,bicubic
-xcit_tiny_24_p16_224_dist,94.210,5.790,98.960,1.040,12.12,224,1.000,bicubic
 ecaresnet50d,94.200,5.800,99.020,0.980,25.58,224,0.875,bicubic
 dpn92,94.180,5.820,98.930,1.070,37.67,224,0.875,bicubic
 resnet50_gn,94.180,5.820,98.920,1.080,25.56,224,0.940,bicubic
-gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
-gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
 gluon_resnet101_v1d,94.170,5.830,98.940,1.060,44.57,224,0.875,bicubic
+gluon_resnet101_v1s,94.170,5.830,99.010,0.990,44.67,224,0.875,bicubic
+gluon_seresnext50_32x4d,94.170,5.830,98.910,1.090,27.56,224,0.875,bicubic
 ecaresnetlight,94.140,5.860,98.950,1.050,30.16,224,0.875,bicubic
 ens_adv_inception_resnet_v2,94.130,5.870,98.790,1.210,55.84,299,0.897,bicubic
-regnety_064,94.130,5.870,99.030,0.970,30.58,224,0.875,bicubic
+tf_efficientnet_lite3,94.120,5.880,98.960,1.040,8.20,300,0.904,bilinear
 gluon_resnext101_32x4d,94.120,5.880,98.940,1.060,44.18,224,0.875,bicubic
 legacy_seresnext101_32x4d,94.120,5.880,98.970,1.030,48.96,224,0.875,bilinear
-tf_efficientnet_lite3,94.120,5.880,98.960,1.040,8.20,300,0.904,bilinear
 cspdarknet53,94.090,5.910,98.980,1.020,27.64,256,0.887,bilinear
-efficientnet_el_pruned,94.080,5.920,99.020,0.980,10.59,300,0.904,bicubic
-seresnet50,94.080,5.920,98.960,1.040,28.09,224,0.875,bicubic
+efficientnet_el_pruned,94.090,5.910,99.020,0.980,10.59,300,0.904,bicubic
+seresnet50,94.080,5.920,98.950,1.050,28.09,224,0.875,bicubic
 resnet50d,94.070,5.930,98.920,1.080,25.58,224,0.875,bicubic
 tf_efficientnetv2_b2,94.070,5.930,98.930,1.070,10.10,260,0.890,bicubic
-gluon_resnet152_v1b,94.030,5.970,98.740,1.260,60.19,224,0.875,bicubic
+gluon_resnet152_v1b,94.030,5.970,98.750,1.250,60.19,224,0.875,bicubic
 hrnet_w48,94.030,5.970,99.040,0.960,77.47,224,0.875,bilinear
-gluon_xception65,94.020,5.980,99.020,0.980,39.92,299,0.903,bicubic
 resnetrs50,94.020,5.980,98.850,1.150,35.69,224,0.910,bicubic
-regnety_120,94.010,5.990,99.030,0.970,51.82,224,0.875,bicubic
+gluon_xception65,94.010,5.990,99.020,0.980,39.92,299,0.903,bicubic
+regnety_120,94.010,5.990,99.040,0.960,51.82,224,0.875,bicubic
 dla102x2,94.000,6.000,99.030,0.970,41.28,224,0.875,bilinear
-deit_small_patch16_224,93.990,6.010,98.960,1.040,22.05,224,0.900,bicubic
+deit_small_patch16_224,93.980,6.020,98.960,1.040,22.05,224,0.900,bicubic
 dpn107,93.960,6.040,98.830,1.170,86.92,224,0.875,bicubic
 ecaresnet26t,93.950,6.050,98.920,1.080,16.01,320,0.950,bicubic
 skresnext50_32x4d,93.950,6.050,98.830,1.170,27.48,224,0.875,bicubic
-cait_xxs36_224,93.930,6.070,98.890,1.110,17.30,224,1.000,bicubic
-resnet50,93.930,6.070,98.470,1.530,25.56,224,0.950,bicubic
+cait_xxs36_224,93.930,6.070,98.880,1.120,17.30,224,1.000,bicubic
 dpn98,93.920,6.080,98.920,1.080,61.57,224,0.875,bicubic
+resnet50,93.920,6.080,98.470,1.530,25.56,224,0.950,bicubic
 gluon_resnet152_v1c,93.890,6.110,98.800,1.200,60.21,224,0.875,bicubic
 regnetx_160,93.890,6.110,99.090,0.910,54.28,224,0.875,bicubic
-regnety_080,93.890,6.110,99.000,1.000,39.18,224,0.875,bicubic
 vit_base_patch16_224_sam,93.890,6.110,98.890,1.110,86.57,224,0.900,bicubic
+xception71,93.890,6.110,98.950,1.050,42.34,299,0.903,bicubic
 nf_regnet_b1,93.880,6.120,98.740,1.260,10.22,288,0.900,bicubic
-xception71,93.880,6.120,98.950,1.050,42.34,299,0.903,bicubic
 cspresnet50,93.860,6.140,98.860,1.140,21.62,256,0.887,bilinear
 eca_resnet33ts,93.860,6.140,98.890,1.110,19.68,256,0.900,bicubic
-xcit_tiny_24_p16_224,93.850,6.150,98.760,1.240,12.12,224,1.000,bicubic
 ese_vovnet39b,93.850,6.150,98.900,1.100,24.57,224,0.875,bicubic
 fbnetv3_d,93.840,6.160,98.910,1.090,10.31,256,0.950,bilinear
 hrnet_w64,93.840,6.160,98.930,1.070,128.06,224,0.875,bilinear
+xcit_tiny_24_p16_224,93.840,6.160,98.760,1.240,12.12,224,1.000,bicubic
 ecaresnet50d_pruned,93.820,6.180,99.000,1.000,19.94,224,0.875,bicubic
 gcresnet33ts,93.820,6.180,98.910,1.090,19.88,256,0.900,bicubic
 repvgg_b2g4,93.810,6.190,98.930,1.070,61.76,224,0.875,bilinear
 resnext50d_32x4d,93.810,6.190,98.740,1.260,25.05,224,0.875,bicubic
 efficientnet_b2_pruned,93.800,6.200,98.910,1.090,8.31,260,0.890,bicubic
-dla169,93.800,6.200,98.840,1.160,53.39,224,0.875,bilinear
+dla169,93.800,6.200,98.830,1.170,53.39,224,0.875,bilinear
 regnetx_080,93.790,6.210,98.900,1.100,39.57,224,0.875,bicubic
 cspresnext50,93.780,6.220,98.840,1.160,20.57,224,0.875,bilinear
-gluon_resnet101_v1b,93.770,6.230,98.690,1.310,44.55,224,0.875,bicubic
 resnext101_32x8d,93.770,6.230,98.950,1.050,88.79,224,0.875,bilinear
-xception65,93.760,6.240,98.860,1.140,39.92,299,0.903,bicubic
-dpn131,93.750,6.250,98.840,1.160,79.25,224,0.875,bicubic
+gluon_resnet101_v1b,93.760,6.240,98.700,1.300,44.55,224,0.875,bicubic
+dpn131,93.750,6.250,98.830,1.170,79.25,224,0.875,bicubic
 efficientnet_em,93.740,6.260,98.930,1.070,6.90,240,0.882,bicubic
 tf_efficientnet_b0_ns,93.740,6.260,98.980,1.020,5.29,224,0.875,bicubic
-wide_resnet101_2,93.720,6.280,98.810,1.190,126.89,224,0.875,bilinear
+wide_resnet101_2,93.730,6.270,98.810,1.190,126.89,224,0.875,bilinear
 hrnet_w40,93.710,6.290,98.800,1.200,57.56,224,0.875,bilinear
+levit_192,93.710,6.290,98.800,1.200,10.95,224,0.900,bicubic
 resnetblur50,93.710,6.290,98.810,1.190,25.56,224,0.875,bicubic
 tf_efficientnet_b1,93.710,6.290,98.800,1.200,7.79,240,0.882,bicubic
 tf_efficientnetv2_b1,93.710,6.290,98.820,1.180,8.14,240,0.882,bicubic
-levit_192,93.710,6.290,98.800,1.200,10.95,224,0.900,bicubic
 gluon_resnet101_v1c,93.690,6.310,98.760,1.240,44.57,224,0.875,bicubic
-regnetx_040,93.680,6.320,98.940,1.060,22.12,224,0.875,bicubic
 rexnet_130,93.680,6.320,98.710,1.290,7.56,224,0.875,bicubic
+regnetx_040,93.670,6.330,98.940,1.060,22.12,224,0.875,bicubic
 resmlp_36_224,93.650,6.350,98.950,1.050,44.69,224,0.875,bicubic
-fbnetv3_b,93.650,6.350,98.910,1.090,8.60,256,0.950,bilinear
 gluon_resnext50_32x4d,93.650,6.350,98.690,1.310,25.03,224,0.875,bicubic
 xception,93.640,6.360,98.760,1.240,22.86,299,0.897,bicubic
+fbnetv3_b,93.640,6.360,98.910,1.090,8.60,256,0.950,bilinear
 resnet33ts,93.630,6.370,98.760,1.240,19.68,256,0.900,bicubic
 tf_efficientnet_b1_ap,93.630,6.370,98.800,1.200,7.79,240,0.882,bicubic
 dpn68b,93.620,6.380,98.700,1.300,12.61,224,0.875,bicubic
 regnetx_064,93.620,6.380,99.050,0.950,26.21,224,0.875,bicubic
-res2net50_26w_6s,93.610,6.390,98.740,1.260,37.05,224,0.875,bilinear
 hrnet_w44,93.610,6.390,98.960,1.040,67.06,224,0.875,bilinear
-regnety_040,93.610,6.390,98.950,1.050,20.65,224,0.875,bicubic
 halonet26t,93.600,6.400,98.640,1.360,12.48,256,0.950,bicubic
+res2net50_26w_6s,93.600,6.400,98.750,1.250,37.05,224,0.875,bilinear
 gluon_resnet50_v1s,93.590,6.410,98.840,1.160,25.68,224,0.875,bicubic
 repvgg_b2,93.590,6.410,99.070,0.930,89.02,224,0.875,bilinear
 dla60_res2next,93.570,6.430,98.790,1.210,17.03,224,0.875,bilinear
@@ -356,71 +387,72 @@ tf_efficientnet_cc_b1_8e,93.570,6.430,98.690,1.310,39.72,240,0.882,bicubic
 eca_halonext26ts,93.560,6.440,98.680,1.320,10.76,256,0.940,bicubic
 gluon_inception_v3,93.540,6.460,98.830,1.170,23.83,299,0.875,bicubic
 gluon_resnet50_v1d,93.530,6.470,98.710,1.290,25.58,224,0.875,bicubic
-dla102x,93.520,6.480,98.850,1.150,26.31,224,0.875,bilinear
 res2net101_26w_4s,93.520,6.480,98.600,1.400,45.21,224,0.875,bilinear
-coat_tiny,93.510,6.490,98.690,1.310,5.50,224,0.900,bicubic
+coat_tiny,93.520,6.480,98.690,1.310,5.50,224,0.900,bicubic
+dla102x,93.520,6.480,98.850,1.150,26.31,224,0.875,bilinear
 gmlp_s16_224,93.510,6.490,98.780,1.220,19.42,224,0.875,bicubic
 selecsls60b,93.500,6.500,98.840,1.160,32.77,224,0.875,bicubic
-cait_xxs24_224,93.490,6.510,98.770,1.230,11.96,224,1.000,bicubic
+cait_xxs24_224,93.490,6.510,98.780,1.220,11.96,224,1.000,bicubic
 xception41,93.480,6.520,98.750,1.250,26.97,299,0.903,bicubic
 coat_lite_mini,93.460,6.540,98.780,1.220,11.01,224,0.900,bicubic
+vit_tiny_patch16_384,93.450,6.550,98.830,1.170,5.79,384,1.000,bicubic
 legacy_seresnet152,93.440,6.560,98.850,1.150,66.82,224,0.875,bilinear
 resmlp_24_224,93.440,6.560,98.810,1.190,30.02,224,0.875,bicubic
 botnet26t_256,93.430,6.570,98.660,1.340,12.49,256,0.950,bicubic
 lambda_resnet26rpt_256,93.430,6.570,98.880,1.120,10.99,256,0.940,bicubic
 legacy_seresnext50_32x4d,93.430,6.570,98.800,1.200,27.56,224,0.875,bilinear
-vit_tiny_patch16_384,93.430,6.570,98.830,1.170,5.79,384,1.000,bicubic
 res2net50_26w_8s,93.420,6.580,98.690,1.310,48.40,224,0.875,bilinear
 repvgg_b1,93.410,6.590,98.790,1.210,57.42,224,0.875,bilinear
-lambda_resnet26t,93.400,6.600,98.740,1.260,10.96,256,0.940,bicubic
+lambda_resnet26t,93.400,6.600,98.730,1.270,10.96,256,0.940,bicubic
 hrnet_w30,93.390,6.610,98.830,1.170,37.71,224,0.875,bilinear
 dla60_res2net,93.380,6.620,98.860,1.140,20.85,224,0.875,bilinear
-eca_botnext26ts_256,93.360,6.640,98.700,1.300,10.59,256,0.950,bicubic
-xcit_tiny_12_p16_224_dist,93.340,6.660,98.740,1.260,6.72,224,1.000,bicubic
-xcit_nano_12_p8_384_dist,93.280,6.720,98.850,1.150,3.05,384,1.000,bicubic
-mixnet_l,93.270,6.730,98.700,1.300,7.33,224,0.875,bicubic
+eca_botnext26ts_256,93.370,6.630,98.700,1.300,10.59,256,0.950,bicubic
+xcit_tiny_12_p16_224_dist,93.350,6.650,98.740,1.260,6.72,224,1.000,bicubic
 legacy_seresnet101,93.270,6.730,98.740,1.260,49.33,224,0.875,bilinear
+mixnet_l,93.270,6.730,98.700,1.300,7.33,224,0.875,bicubic
 dla102,93.260,6.740,98.770,1.230,33.27,224,0.875,bilinear
+xcit_nano_12_p8_384_dist,93.260,6.740,98.850,1.150,3.05,384,1.000,bicubic
 regnetx_032,93.250,6.750,98.730,1.270,15.30,224,0.875,bicubic
-pit_xs_distilled_224,93.240,6.760,98.830,1.170,11.00,224,0.900,bicubic
 resnest26d,93.240,6.760,98.850,1.150,17.07,224,0.875,bilinear
 tv_resnet152,93.240,6.760,98.750,1.250,60.19,224,0.875,bilinear
+pit_xs_distilled_224,93.240,6.760,98.820,1.180,11.00,224,0.900,bicubic
 tf_inception_v3,93.200,6.800,98.480,1.520,23.83,299,0.875,bicubic
 dla60x,93.190,6.810,98.710,1.290,17.35,224,0.875,bilinear
 res2net50_26w_4s,93.180,6.820,98.670,1.330,25.70,224,0.875,bilinear
-tf_efficientnet_em,93.180,6.820,98.670,1.330,6.90,240,0.882,bicubic
+tf_efficientnet_em,93.170,6.830,98.670,1.330,6.90,240,0.882,bicubic
+mobilevit_s,93.160,6.840,98.780,1.220,5.58,256,0.900,bicubic
 res2next50,93.140,6.860,98.650,1.350,24.67,224,0.875,bilinear
-bat_resnext26ts,93.100,6.900,98.730,1.270,10.73,256,0.900,bicubic
+bat_resnext26ts,93.110,6.890,98.730,1.270,10.73,256,0.900,bicubic
 tf_efficientnetv2_b0,93.060,6.940,98.700,1.300,7.14,224,0.875,bicubic
-levit_128,93.040,6.960,98.680,1.320,9.21,224,0.900,bicubic
 tf_mixnet_l,93.040,6.960,98.540,1.460,7.33,224,0.875,bicubic
+levit_128,93.040,6.960,98.680,1.320,9.21,224,0.900,bicubic
+efficientnet_b1,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic
 repvgg_b1g4,93.030,6.970,98.820,1.180,39.97,224,0.875,bilinear
 res2net50_14w_8s,93.030,6.970,98.700,1.300,25.06,224,0.875,bilinear
-efficientnet_b1,93.030,6.970,98.710,1.290,7.79,256,1.000,bicubic
-selecsls60,93.010,6.990,98.830,1.170,30.67,224,0.875,bicubic
 adv_inception_v3,93.010,6.990,98.490,1.510,23.83,299,0.875,bicubic
 regnety_016,93.000,7.000,98.680,1.320,11.20,224,0.875,bicubic
+selecsls60,93.000,7.000,98.830,1.170,30.67,224,0.875,bicubic
 hardcorenas_f,92.980,7.020,98.620,1.380,8.20,224,0.875,bilinear
 efficientnet_b1_pruned,92.970,7.030,98.520,1.480,6.33,240,0.882,bicubic
-hardcorenas_e,92.950,7.050,98.570,1.430,8.07,224,0.875,bilinear
 hrnet_w32,92.950,7.050,98.840,1.160,41.23,224,0.875,bilinear
-gluon_resnet50_v1c,92.920,7.080,98.710,1.290,25.58,224,0.875,bicubic
+hardcorenas_e,92.940,7.060,98.570,1.430,8.07,224,0.875,bilinear
 efficientnet_es,92.920,7.080,98.690,1.310,5.44,224,0.875,bicubic
-pit_xs_224,92.910,7.090,98.770,1.230,10.62,224,0.900,bicubic
+gluon_resnet50_v1c,92.920,7.080,98.700,1.300,25.58,224,0.875,bicubic
+pit_xs_224,92.910,7.090,98.780,1.220,10.62,224,0.900,bicubic
 tv_resnext50_32x4d,92.910,7.090,98.720,1.280,25.03,224,0.875,bilinear
 inception_v3,92.900,7.100,98.330,1.670,23.83,299,0.875,bicubic
 densenet161,92.890,7.110,98.810,1.190,28.68,224,0.875,bicubic
 tv_resnet101,92.880,7.120,98.660,1.340,44.55,224,0.875,bilinear
 resmlp_12_distilled_224,92.870,7.130,98.620,1.380,15.35,224,0.875,bicubic
 tf_efficientnet_cc_b0_8e,92.870,7.130,98.460,1.540,24.01,224,0.875,bicubic
-coat_lite_tiny,92.860,7.140,98.630,1.370,5.72,224,0.900,bicubic
+coat_lite_tiny,92.860,7.140,98.640,1.360,5.72,224,0.900,bicubic
 rexnet_100,92.840,7.160,98.620,1.380,4.80,224,0.875,bicubic
 tf_efficientnet_cc_b0_4e,92.840,7.160,98.440,1.560,13.31,224,0.875,bicubic
-seresnext26t_32x4d,92.820,7.180,98.560,1.440,16.81,224,0.875,bicubic
-seresnext26ts,92.810,7.190,98.600,1.400,10.39,256,0.900,bicubic
-res2net50_48w_2s,92.790,7.210,98.480,1.520,25.29,224,0.875,bilinear
+seresnext26ts,92.820,7.180,98.600,1.400,10.39,256,0.900,bicubic
+seresnext26t_32x4d,92.810,7.190,98.560,1.440,16.81,224,0.875,bicubic
 tinynet_a,92.790,7.210,98.560,1.440,6.19,192,0.875,bicubic
-crossvit_9_dagger_240,92.750,7.250,98.510,1.490,8.78,240,0.875,bicubic
+res2net50_48w_2s,92.790,7.210,98.480,1.520,25.29,224,0.875,bilinear
+crossvit_9_dagger_240,92.760,7.240,98.510,1.490,8.78,240,0.875,bicubic
 hrnet_w18,92.750,7.250,98.660,1.340,21.30,224,0.875,bilinear
 densenet201,92.690,7.310,98.650,1.350,20.01,224,0.875,bicubic
 gmixer_24_224,92.680,7.320,98.280,1.720,24.72,224,0.875,bicubic
@@ -437,40 +469,41 @@ tf_efficientnet_lite2,92.580,7.420,98.550,1.450,6.09,260,0.890,bicubic
 skresnet34,92.570,7.430,98.520,1.480,22.28,224,0.875,bicubic
 gluon_resnet50_v1b,92.560,7.440,98.550,1.450,25.56,224,0.875,bicubic
 regnetx_016,92.540,7.460,98.550,1.450,9.19,224,0.875,bicubic
-efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
 selecsls42b,92.480,7.520,98.440,1.560,32.46,224,0.875,bicubic
+efficientnet_b0,92.480,7.520,98.680,1.320,5.29,224,0.875,bicubic
 gcresnext26ts,92.470,7.530,98.490,1.510,10.48,256,0.900,bicubic
+poolformer_s12,92.470,7.530,98.350,1.650,11.92,224,0.900,bicubic
 xcit_tiny_12_p16_224,92.460,7.540,98.630,1.370,6.72,224,1.000,bicubic
 gernet_s,92.440,7.560,98.500,1.500,8.17,224,0.875,bilinear
 seresnext26d_32x4d,92.430,7.570,98.540,1.460,16.81,224,0.875,bicubic
-xcit_nano_12_p8_224_dist,92.420,7.580,98.530,1.470,3.05,224,1.000,bicubic
+xcit_nano_12_p8_224_dist,92.430,7.570,98.520,1.480,3.05,224,1.000,bicubic
 eca_resnext26ts,92.410,7.590,98.620,1.380,10.30,256,0.900,bicubic
-densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
 tf_efficientnet_b0,92.400,7.600,98.470,1.530,5.29,224,0.875,bicubic
+densenetblur121d,92.400,7.600,98.410,1.590,8.00,224,0.875,bicubic
 convmixer_1024_20_ks9_p14,92.350,7.650,98.420,1.580,24.38,224,0.960,bicubic
-hardcorenas_c,92.330,7.670,98.350,1.650,5.52,224,0.875,bilinear
+hardcorenas_c,92.330,7.670,98.340,1.660,5.52,224,0.875,bilinear
 tf_efficientnet_lite1,92.310,7.690,98.490,1.510,5.42,240,0.882,bicubic
-densenet169,92.290,7.710,98.590,1.410,14.15,224,0.875,bicubic
+densenet169,92.280,7.720,98.590,1.410,14.15,224,0.875,bicubic
 mixnet_m,92.270,7.730,98.350,1.650,5.01,224,0.875,bicubic
 dpn68,92.260,7.740,98.610,1.390,12.61,224,0.875,bicubic
 mobilenetv3_large_100_miil,92.250,7.750,98.250,1.750,5.48,224,0.875,bilinear
 resnet26d,92.250,7.750,98.450,1.550,16.01,224,0.875,bicubic
 resnext26ts,92.220,7.780,98.250,1.750,10.30,256,0.900,bicubic
 tf_mixnet_m,92.200,7.800,98.420,1.580,5.01,224,0.875,bicubic
-vit_small_patch32_224,92.160,7.840,98.510,1.490,22.88,224,0.900,bicubic
+vit_small_patch32_224,92.150,7.850,98.510,1.490,22.88,224,0.900,bicubic
+tv_resnet50,92.140,7.860,98.420,1.580,25.56,224,0.875,bilinear
 resmlp_12_224,92.120,7.880,98.570,1.430,15.35,224,0.875,bicubic
-tv_resnet50,92.120,7.880,98.420,1.580,25.56,224,0.875,bilinear
+tf_efficientnet_es,92.110,7.890,98.430,1.570,5.44,224,0.875,bicubic
 xcit_nano_12_p16_384_dist,92.110,7.890,98.520,1.480,3.05,384,1.000,bicubic
-tf_efficientnet_es,92.100,7.900,98.430,1.570,5.44,224,0.875,bicubic
-mobilenetv2_140,92.050,7.950,98.250,1.750,6.11,224,0.875,bicubic
+mobilenetv2_140,92.040,7.960,98.250,1.750,6.11,224,0.875,bicubic
 ese_vovnet19b_dw,92.010,7.990,98.510,1.490,6.54,224,0.875,bicubic
+hardcorenas_b,91.940,8.060,98.400,1.600,5.18,224,0.875,bilinear
 densenet121,91.940,8.060,98.280,1.720,7.98,224,0.875,bicubic
-hardcorenas_b,91.930,8.070,98.400,1.600,5.18,224,0.875,bilinear
 regnety_008,91.910,8.090,98.420,1.580,6.26,224,0.875,bicubic
 vit_tiny_patch16_224,91.910,8.090,98.340,1.660,5.72,224,0.900,bicubic
 mixnet_s,91.780,8.220,98.300,1.700,4.13,224,0.875,bicubic
 vit_tiny_r_s16_p8_384,91.730,8.270,98.430,1.570,6.36,384,1.000,bicubic
-efficientnet_es_pruned,91.710,8.290,98.410,1.590,5.44,224,0.875,bicubic
+efficientnet_es_pruned,91.700,8.300,98.410,1.590,5.44,224,0.875,bicubic
 repvgg_b0,91.680,8.320,98.450,1.550,15.82,224,0.875,bilinear
 tf_mixnet_s,91.680,8.320,98.240,1.760,4.13,224,0.875,bicubic
 semnasnet_100,91.660,8.340,98.270,1.730,3.89,224,0.875,bicubic
@@ -480,22 +513,23 @@ mobilenetv3_rw,91.540,8.460,98.270,1.730,5.48,224,0.875,bicubic
 levit_128s,91.500,8.500,98.400,1.600,7.78,224,0.900,bicubic
 legacy_seresnet34,91.480,8.520,98.200,1.800,21.96,224,0.875,bilinear
 mobilenetv3_large_100,91.480,8.520,98.320,1.680,5.48,224,0.875,bicubic
-resnet26,91.450,8.550,98.270,1.730,16.00,224,0.875,bicubic
+resnet26,91.440,8.560,98.260,1.740,16.00,224,0.875,bicubic
 tf_mobilenetv3_large_100,91.420,8.580,98.260,1.740,5.48,224,0.875,bilinear
 tv_densenet121,91.410,8.590,98.250,1.750,7.98,224,0.875,bicubic
-mobilenetv2_110d,91.350,8.650,98.190,1.810,4.52,224,0.875,bicubic
+mobilenetv2_110d,91.340,8.660,98.180,1.820,4.52,224,0.875,bicubic
 tf_efficientnet_lite0,91.300,8.700,98.090,1.910,4.65,224,0.875,bicubic
 fbnetc_100,91.260,8.740,97.830,2.170,5.57,224,0.875,bilinear
-efficientnet_lite0,91.250,8.750,98.250,1.750,4.65,224,0.875,bicubic
+efficientnet_lite0,91.260,8.740,98.250,1.750,4.65,224,0.875,bicubic
 dla34,91.230,8.770,98.180,1.820,15.74,224,0.875,bilinear
 mnasnet_100,91.200,8.800,98.050,1.950,4.38,224,0.875,bicubic
 resnet34,91.200,8.800,98.240,1.760,21.80,224,0.875,bilinear
+mobilevit_xs,91.180,8.820,98.220,1.780,2.32,256,0.900,bicubic
 hrnet_w18_small_v2,91.170,8.830,98.340,1.660,15.60,224,0.875,bilinear
 regnetx_008,91.160,8.840,98.380,1.620,7.26,224,0.875,bicubic
+xcit_nano_12_p8_224,91.140,8.860,98.230,1.770,3.05,224,1.000,bicubic
 mixer_b16_224,91.140,8.860,97.400,2.600,59.88,224,0.875,bicubic
+resnest14d,91.130,8.870,98.330,1.670,10.61,224,0.875,bilinear
 tinynet_b,91.130,8.870,98.070,1.930,3.73,188,0.875,bicubic
-resnest14d,91.120,8.880,98.330,1.670,10.61,224,0.875,bilinear
-xcit_nano_12_p8_224,91.120,8.880,98.240,1.760,3.05,224,1.000,bicubic
 deit_tiny_distilled_patch16_224,91.110,8.890,98.270,1.730,5.91,224,0.900,bicubic
 gluon_resnet34_v1b,91.100,8.900,98.180,1.820,21.80,224,0.875,bicubic
 swsl_resnet18,91.080,8.920,98.210,1.790,11.69,224,0.875,bilinear
@@ -505,49 +539,53 @@ pit_ti_distilled_224,90.900,9.100,98.220,1.780,5.10,224,0.900,bicubic
 regnetx_006,90.770,9.230,98.100,1.900,6.20,224,0.875,bicubic
 regnety_004,90.770,9.230,98.080,1.920,4.34,224,0.875,bicubic
 ssl_resnet18,90.700,9.300,98.030,1.970,11.69,224,0.875,bilinear
-spnasnet_100,90.600,9.400,97.950,2.050,4.42,224,0.875,bilinear
-convit_tiny,90.550,9.450,98.220,1.780,5.71,224,0.875,bicubic
-crossvit_tiny_240,90.540,9.460,97.950,2.050,7.01,240,0.875,bicubic
+spnasnet_100,90.610,9.390,97.950,2.050,4.42,224,0.875,bilinear
+convit_tiny,90.550,9.450,98.210,1.790,5.71,224,0.875,bicubic
+crossvit_tiny_240,90.540,9.460,97.940,2.060,7.01,240,0.875,bicubic
 vgg16_bn,90.540,9.460,97.990,2.010,138.37,224,0.875,bilinear
 ghostnet_100,90.440,9.560,97.830,2.170,5.18,224,0.875,bilinear
-pit_ti_224,90.440,9.560,98.010,1.990,4.85,224,0.900,bicubic
+pit_ti_224,90.430,9.570,98.000,2.000,4.85,224,0.900,bicubic
 tf_mobilenetv3_large_075,90.320,9.680,97.870,2.130,3.99,224,0.875,bilinear
 tv_resnet34,90.290,9.710,97.980,2.020,21.80,224,0.875,bilinear
-semnasnet_075,90.200,9.800,97.970,2.030,2.91,224,0.875,bicubic
+semnasnet_075,90.210,9.790,97.970,2.030,2.91,224,0.875,bicubic
 skresnet18,90.170,9.830,97.780,2.220,11.96,224,0.875,bicubic
-xcit_nano_12_p16_224_dist,90.170,9.830,97.760,2.240,3.05,224,1.000,bicubic
+xcit_nano_12_p16_224_dist,90.160,9.840,97.760,2.240,3.05,224,1.000,bicubic
 resnet18d,89.990,10.010,97.830,2.170,11.71,224,0.875,bicubic
-hrnet_w18_small,89.880,10.120,97.900,2.100,13.19,224,0.875,bilinear
+hrnet_w18_small,89.880,10.120,97.890,2.110,13.19,224,0.875,bilinear
 vit_base_patch32_224_sam,89.860,10.140,97.600,2.400,88.22,224,0.900,bicubic
 mobilenetv2_100,89.830,10.170,97.830,2.170,3.50,224,0.875,bicubic
 vgg19,89.680,10.320,97.550,2.450,143.67,224,0.875,bilinear
 deit_tiny_patch16_224,89.620,10.380,97.960,2.040,5.72,224,0.900,bicubic
 regnetx_004,89.470,10.530,97.770,2.230,5.16,224,0.875,bicubic
 vgg16,89.360,10.640,97.520,2.480,138.36,224,0.875,bilinear
-vit_tiny_r_s16_p8_224,89.350,10.650,97.700,2.300,6.34,224,0.900,bicubic
+vit_tiny_r_s16_p8_224,89.340,10.660,97.700,2.300,6.34,224,0.900,bicubic
 legacy_seresnet18,89.260,10.740,97.680,2.320,11.78,224,0.875,bicubic
 vgg13_bn,89.200,10.800,97.520,2.480,133.05,224,0.875,bilinear
 tf_mobilenetv3_large_minimal_100,89.170,10.830,97.320,2.680,3.92,224,0.875,bilinear
-xcit_nano_12_p16_224,88.970,11.030,97.390,2.610,3.05,224,1.000,bicubic
-lcnet_100,88.950,11.050,97.380,2.620,2.95,224,0.875,bicubic
+lcnet_100,88.960,11.040,97.380,2.620,2.95,224,0.875,bicubic
+xcit_nano_12_p16_224,88.950,11.050,97.390,2.610,3.05,224,1.000,bicubic
 gluon_resnet18_v1b,88.660,11.340,97.100,2.900,11.69,224,0.875,bicubic
 tinynet_c,88.420,11.580,97.260,2.740,2.46,184,0.875,bicubic
 vgg11_bn,88.390,11.610,97.270,2.730,132.87,224,0.875,bilinear
 regnety_002,88.190,11.810,97.420,2.580,3.16,224,0.875,bicubic
 resnet18,88.150,11.850,97.120,2.880,11.69,224,0.875,bilinear
+mobilevit_xxs,87.950,12.050,97.180,2.820,1.27,256,0.900,bicubic
 vgg13,87.570,12.430,97.120,2.880,133.05,224,0.875,bilinear
 regnetx_002,87.380,12.620,96.990,3.010,2.68,224,0.875,bicubic
 vgg11,87.340,12.660,97.110,2.890,132.86,224,0.875,bilinear
 dla60x_c,87.110,12.890,97.140,2.860,1.32,224,0.875,bilinear
 mixer_l16_224,86.970,13.030,94.040,5.960,208.20,224,0.875,bicubic
 lcnet_075,86.940,13.060,96.530,3.470,2.36,224,0.875,bicubic
+mobilenetv3_small_100,86.170,13.830,96.460,3.540,2.54,224,0.875,bicubic
 tf_mobilenetv3_small_100,85.970,14.030,96.410,3.590,2.54,224,0.875,bilinear
+mnasnet_small,85.510,14.490,95.980,4.020,2.03,224,0.875,bicubic
 dla46x_c,85.480,14.520,96.440,3.560,1.07,224,0.875,bilinear
 tinynet_d,85.430,14.570,96.020,3.980,2.34,152,0.875,bicubic
 mobilenetv2_050,84.990,15.010,95.620,4.380,1.97,224,0.875,bicubic
-mnasnet_small,84.920,15.080,95.930,4.070,2.03,224,0.875,bicubic
 dla46_c,84.670,15.330,96.200,3.800,1.30,224,0.875,bilinear
 tf_mobilenetv3_small_075,84.530,15.470,95.890,4.110,2.04,224,0.875,bilinear
+mobilenetv3_small_075,84.120,15.880,95.500,4.500,2.04,224,0.875,bicubic
 lcnet_050,83.000,17.000,95.020,4.980,1.88,224,0.875,bicubic
 tf_mobilenetv3_small_minimal_100,82.680,17.320,95.010,4.990,2.04,224,0.875,bilinear
 tinynet_e,79.800,20.200,93.980,6.020,2.04,106,0.875,bicubic
+mobilenetv3_small_050,78.100,21.900,93.010,6.990,1.59,224,0.875,bicubic

results/results-imagenet.csv

@@ -1,553 +1,591 @@
 model,top1,top1_err,top5,top5_err,param_count,img_size,cropt_pct,interpolation
-beit_large_patch16_512,88.602,11.398,98.656,1.344,305.67,512,1.000,bicubic
+beit_large_patch16_512,88.600,11.400,98.656,1.344,305.67,512,1.000,bicubic
 beit_large_patch16_384,88.404,11.596,98.608,1.392,305.00,384,1.000,bicubic
 tf_efficientnet_l2_ns,88.348,11.652,98.648,1.352,480.31,800,0.960,bicubic
 tf_efficientnet_l2_ns_475,88.232,11.768,98.546,1.454,480.31,475,0.936,bicubic
-convnext_xlarge_384_in22ft1k,87.544,12.456,98.490,1.510,350.20,384,1.000,bicubic
-beit_large_patch16_224,87.478,12.522,98.306,1.694,304.43,224,0.900,bicubic
-convnext_large_384_in22ft1k,87.398,12.602,98.366,1.634,197.77,384,1.000,bicubic
-swin_large_patch4_window12_384,87.148,12.852,98.240,1.760,196.74,384,1.000,bicubic
-vit_large_patch16_384,87.080,12.920,98.302,1.698,304.72,384,1.000,bicubic
-convnext_xlarge_in22ft1k,87.008,12.992,98.208,1.792,350.20,224,0.875,bicubic
-tf_efficientnet_b7_ns,86.840,13.160,98.094,1.906,66.35,600,0.949,bicubic
+convnext_xlarge_384_in22ft1k,87.546,12.454,98.486,1.514,350.20,384,1.000,bicubic
+beit_large_patch16_224,87.474,12.526,98.304,1.696,304.43,224,0.900,bicubic
+convnext_large_384_in22ft1k,87.396,12.604,98.368,1.632,197.77,384,1.000,bicubic
+swin_large_patch4_window12_384,87.150,12.850,98.240,1.760,196.74,384,1.000,bicubic
+vit_large_patch16_384,87.080,12.920,98.300,1.700,304.72,384,1.000,bicubic
+volo_d5_512,87.042,12.958,97.968,2.032,296.09,512,1.150,bicubic
+convnext_xlarge_in22ft1k,87.002,12.998,98.212,1.788,350.20,224,0.875,bicubic
+volo_d5_448,86.952,13.048,97.940,2.060,295.91,448,1.150,bicubic
+tf_efficientnet_b7_ns,86.838,13.162,98.096,1.904,66.35,600,0.949,bicubic
 beit_base_patch16_384,86.798,13.202,98.136,1.864,86.74,384,1.000,bicubic
-convnext_large_in22ft1k,86.626,13.374,98.032,1.968,197.77,224,0.875,bicubic
-convnext_base_384_in22ft1k,86.566,13.434,98.198,1.802,88.59,384,1.000,bicubic
-cait_m48_448,86.484,13.516,97.752,2.248,356.46,448,1.000,bicubic
-tf_efficientnet_b6_ns,86.450,13.550,97.882,2.118,43.04,528,0.942,bicubic
+volo_d4_448,86.790,13.210,97.882,2.118,193.41,448,1.150,bicubic
+convnext_large_in22ft1k,86.636,13.364,98.028,1.972,197.77,224,0.875,bicubic
+convnext_base_384_in22ft1k,86.544,13.456,98.190,1.810,88.59,384,1.000,bicubic
+volo_d3_448,86.496,13.504,97.710,2.290,86.63,448,1.000,bicubic
+cait_m48_448,86.486,13.514,97.752,2.248,356.46,448,1.000,bicubic
+tf_efficientnet_b6_ns,86.454,13.546,97.882,2.118,43.04,528,0.942,bicubic
 swin_base_patch4_window12_384,86.432,13.568,98.056,1.944,87.90,384,1.000,bicubic
 tf_efficientnetv2_xl_in21ft1k,86.418,13.582,97.866,2.134,208.12,512,1.000,bicubic
-swin_large_patch4_window7_224,86.318,13.682,97.892,2.108,196.53,224,0.900,bicubic
+swin_large_patch4_window7_224,86.314,13.686,97.892,2.108,196.53,224,0.900,bicubic
 tf_efficientnetv2_l_in21ft1k,86.304,13.696,97.978,2.022,118.52,480,1.000,bicubic
-vit_large_r50_s32_384,86.182,13.818,97.918,2.082,329.09,384,1.000,bicubic
-dm_nfnet_f6,86.144,13.856,97.730,2.270,438.36,576,0.956,bicubic
+vit_large_r50_s32_384,86.182,13.818,97.920,2.080,329.09,384,1.000,bicubic
+dm_nfnet_f6,86.142,13.858,97.730,2.270,438.36,576,0.956,bicubic
 tf_efficientnet_b5_ns,86.090,13.910,97.750,2.250,30.39,456,0.934,bicubic
+volo_d5_224,86.072,13.928,97.578,2.422,295.46,224,0.960,bicubic
 cait_m36_384,86.052,13.948,97.730,2.270,271.22,384,1.000,bicubic
-vit_base_patch16_384,86.006,13.994,98.002,1.998,86.86,384,1.000,bicubic
-xcit_large_24_p8_384_dist,86.000,14.000,97.684,2.316,188.93,384,1.000,bicubic
-vit_large_patch16_224,85.844,14.156,97.824,2.176,304.33,224,0.900,bicubic
-dm_nfnet_f5,85.814,14.186,97.486,2.514,377.21,544,0.954,bicubic
+volo_d2_384,86.040,13.960,97.572,2.428,58.87,384,1.000,bicubic
+vit_base_patch16_384,86.010,13.990,98.002,1.998,86.86,384,1.000,bicubic
+xcit_large_24_p8_384_dist,85.998,14.002,97.684,2.316,188.93,384,1.000,bicubic
+volo_d4_224,85.874,14.126,97.468,2.532,192.96,224,0.960,bicubic
+vit_large_patch16_224,85.838,14.162,97.820,2.180,304.33,224,0.900,bicubic
+convnext_base_in22ft1k,85.824,14.176,97.866,2.134,88.59,224,0.875,bicubic
+dm_nfnet_f5,85.816,14.184,97.486,2.514,377.21,544,0.954,bicubic
 xcit_medium_24_p8_384_dist,85.814,14.186,97.592,2.408,84.32,384,1.000,bicubic
-convnext_base_in22ft1k,85.796,14.204,97.866,2.134,88.59,224,0.875,bicubic
-vit_base_patch8_224,85.792,14.208,97.792,2.208,86.58,224,0.900,bicubic
-xcit_large_24_p16_384_dist,85.756,14.244,97.538,2.462,189.10,384,1.000,bicubic
+vit_base_patch8_224,85.794,14.206,97.794,2.206,86.58,224,0.900,bicubic
+xcit_large_24_p16_384_dist,85.754,14.246,97.538,2.462,189.10,384,1.000,bicubic
 dm_nfnet_f4,85.714,14.286,97.522,2.478,316.07,512,0.951,bicubic
-tf_efficientnetv2_m_in21ft1k,85.592,14.408,97.746,2.254,54.14,480,1.000,bicubic
-xcit_small_24_p8_384_dist,85.552,14.448,97.572,2.428,47.63,384,1.000,bicubic
-dm_nfnet_f3,85.524,14.476,97.462,2.538,254.92,416,0.940,bicubic
+tf_efficientnetv2_m_in21ft1k,85.590,14.410,97.744,2.256,54.14,480,1.000,bicubic
+xcit_small_24_p8_384_dist,85.556,14.444,97.572,2.428,47.63,384,1.000,bicubic
+dm_nfnet_f3,85.522,14.478,97.462,2.538,254.92,416,0.940,bicubic
 tf_efficientnetv2_l,85.490,14.510,97.372,2.628,118.52,480,1.000,bicubic
 cait_s36_384,85.462,14.538,97.480,2.520,68.37,384,1.000,bicubic
 ig_resnext101_32x48d,85.436,14.564,97.576,2.424,828.41,224,0.875,bilinear
+xcit_medium_24_p16_384_dist,85.422,14.578,97.406,2.594,84.40,384,1.000,bicubic
 deit_base_distilled_patch16_384,85.422,14.578,97.332,2.668,87.63,384,1.000,bicubic
-xcit_medium_24_p16_384_dist,85.420,14.580,97.406,2.594,84.40,384,1.000,bicubic
+volo_d3_224,85.412,14.588,97.280,2.720,86.33,224,0.960,bicubic
 xcit_large_24_p8_224_dist,85.398,14.602,97.410,2.590,188.93,224,1.000,bicubic
-tf_efficientnet_b8_ap,85.370,14.630,97.292,2.708,87.41,672,0.954,bicubic
-tf_efficientnet_b8,85.366,14.634,97.392,2.608,87.41,672,0.954,bicubic
-swin_base_patch4_window7_224,85.250,14.750,97.560,2.440,87.77,224,0.900,bicubic
-beit_base_patch16_224,85.228,14.772,97.656,2.344,86.53,224,0.900,bicubic
+tf_efficientnet_b8_ap,85.372,14.628,97.292,2.708,87.41,672,0.954,bicubic
+tf_efficientnet_b8,85.368,14.632,97.390,2.610,87.41,672,0.954,bicubic
+swin_base_patch4_window7_224,85.248,14.752,97.562,2.438,87.77,224,0.900,bicubic
+volo_d1_384,85.248,14.752,97.214,2.786,26.78,384,1.000,bicubic
+beit_base_patch16_224,85.228,14.772,97.658,2.342,86.53,224,0.900,bicubic
+volo_d2_224,85.194,14.806,97.188,2.812,58.68,224,0.960,bicubic
 tf_efficientnet_b4_ns,85.162,14.838,97.470,2.530,19.34,380,0.922,bicubic
 tf_efficientnet_b7_ap,85.120,14.880,97.252,2.748,66.35,600,0.949,bicubic
-ig_resnext101_32x32d,85.102,14.898,97.434,2.566,468.53,224,0.875,bilinear
+ig_resnext101_32x32d,85.100,14.900,97.434,2.566,468.53,224,0.875,bilinear
 xcit_small_24_p16_384_dist,85.094,14.906,97.310,2.690,47.67,384,1.000,bicubic
-xcit_small_12_p8_384_dist,85.082,14.918,97.280,2.720,26.21,384,1.000,bicubic
-xcit_medium_24_p8_224_dist,85.068,14.932,97.278,2.722,84.32,224,1.000,bicubic
-dm_nfnet_f2,85.064,14.936,97.240,2.760,193.78,352,0.920,bicubic
-cait_s24_384,85.048,14.952,97.348,2.652,47.06,384,1.000,bicubic
-tf_efficientnetv2_m,85.036,14.964,97.278,2.722,54.14,480,1.000,bicubic
+xcit_small_12_p8_384_dist,85.080,14.920,97.280,2.720,26.21,384,1.000,bicubic
+xcit_medium_24_p8_224_dist,85.072,14.928,97.280,2.720,84.32,224,1.000,bicubic
+dm_nfnet_f2,85.062,14.938,97.240,2.760,193.78,352,0.920,bicubic
+cait_s24_384,85.046,14.954,97.346,2.654,47.06,384,1.000,bicubic
+tf_efficientnetv2_m,85.038,14.962,97.278,2.722,54.14,480,1.000,bicubic
 regnetz_e8,85.030,14.970,97.264,2.736,57.70,320,1.000,bicubic
 resnetrs420,85.010,14.990,97.124,2.876,191.89,416,1.000,bicubic
 ecaresnet269d,84.976,15.024,97.226,2.774,102.09,352,1.000,bicubic
-vit_base_r50_s16_384,84.972,15.028,97.290,2.710,98.95,384,1.000,bicubic
-tf_efficientnet_b7,84.934,15.066,97.206,2.794,66.35,600,0.949,bicubic
-xcit_large_24_p16_224_dist,84.918,15.082,97.132,2.868,189.10,224,1.000,bicubic
+vit_base_r50_s16_384,84.970,15.030,97.290,2.710,98.95,384,1.000,bicubic
+tf_efficientnet_b7,84.936,15.064,97.204,2.796,66.35,600,0.949,bicubic
+xcit_large_24_p16_224_dist,84.922,15.078,97.132,2.868,189.10,224,1.000,bicubic
 resnetv2_152x4_bitm,84.916,15.084,97.442,2.558,936.53,480,1.000,bilinear
-xcit_small_24_p8_224_dist,84.874,15.126,97.188,2.812,47.63,224,1.000,bicubic
-efficientnetv2_rw_m,84.810,15.190,97.146,2.854,53.24,416,1.000,bicubic
-tf_efficientnet_b6_ap,84.788,15.212,97.138,2.862,43.04,528,0.942,bicubic
-resnetrs350,84.720,15.280,96.988,3.012,163.96,384,1.000,bicubic
-xcit_small_12_p16_384_dist,84.706,15.294,97.118,2.882,26.25,384,1.000,bicubic
+xcit_small_24_p8_224_dist,84.876,15.124,97.188,2.812,47.63,224,1.000,bicubic
+efficientnetv2_rw_m,84.812,15.188,97.146,2.854,53.24,416,1.000,bicubic
+tf_efficientnet_b6_ap,84.786,15.214,97.138,2.862,43.04,528,0.942,bicubic
+resnetrs350,84.718,15.282,96.988,3.012,163.96,384,1.000,bicubic
+xcit_small_12_p16_384_dist,84.710,15.290,97.118,2.882,26.25,384,1.000,bicubic
 eca_nfnet_l2,84.696,15.304,97.264,2.736,56.72,384,1.000,bicubic
-dm_nfnet_f1,84.624,15.376,97.098,2.902,132.63,320,0.910,bicubic
-vit_base_patch16_224,84.526,15.474,97.298,2.702,86.57,224,0.900,bicubic
-resnest269e,84.516,15.484,96.986,3.014,110.93,416,0.928,bicubic
-resnetv2_152x2_bitm,84.508,15.492,97.434,2.566,236.34,448,1.000,bilinear
+dm_nfnet_f1,84.624,15.376,97.100,2.900,132.63,320,0.910,bicubic
+vit_base_patch16_224,84.528,15.472,97.294,2.706,86.57,224,0.900,bicubic
+resnest269e,84.520,15.480,96.986,3.014,110.93,416,0.928,bicubic
+resnetv2_152x2_bitm,84.506,15.494,97.434,2.566,236.34,448,1.000,bilinear
+regnetz_040h,84.496,15.504,97.006,2.994,28.94,320,1.000,bicubic
 resnetv2_101x3_bitm,84.442,15.558,97.382,2.618,387.93,448,1.000,bilinear
-resnetrs270,84.434,15.566,96.972,3.028,129.86,352,1.000,bicubic
-vit_large_r50_s32_224,84.430,15.570,97.166,2.834,328.99,224,0.900,bicubic
+resnetrs200,84.438,15.562,97.080,2.920,93.21,320,1.000,bicubic
+resnetrs270,84.436,15.564,96.970,3.030,129.86,352,1.000,bicubic
+vit_large_r50_s32_224,84.424,15.576,97.166,2.834,328.99,224,0.900,bicubic
 resmlp_big_24_224_in22ft1k,84.394,15.606,97.120,2.880,129.14,224,0.875,bicubic
-xcit_large_24_p8_224,84.392,15.608,96.658,3.342,188.93,224,1.000,bicubic
-seresnet152d,84.358,15.642,97.042,2.958,66.84,320,1.000,bicubic
+xcit_large_24_p8_224,84.394,15.606,96.656,3.344,188.93,224,1.000,bicubic
+seresnet152d,84.360,15.640,97.040,2.960,66.84,320,1.000,bicubic
 tf_efficientnetv2_s_in21ft1k,84.298,15.702,97.254,2.746,21.46,384,1.000,bicubic
-convnext_large,84.296,15.704,96.894,3.106,197.77,224,0.875,bicubic
+convnext_large,84.292,15.708,96.894,3.106,197.77,224,0.875,bicubic
 swsl_resnext101_32x8d,84.290,15.710,97.180,2.820,88.79,224,0.875,bilinear
-xcit_medium_24_p16_224_dist,84.280,15.720,96.940,3.060,84.40,224,1.000,bicubic
-vit_base_patch16_224_miil,84.270,15.730,96.802,3.198,86.54,224,0.875,bilinear
-tf_efficientnet_b5_ap,84.256,15.744,96.978,3.022,30.39,456,0.934,bicubic
-xcit_small_12_p8_224_dist,84.232,15.768,96.872,3.128,26.21,224,1.000,bicubic
-crossvit_18_dagger_408,84.192,15.808,96.818,3.182,44.61,408,1.000,bicubic
-ig_resnext101_32x16d,84.172,15.828,97.198,2.802,194.03,224,0.875,bilinear
-pit_b_distilled_224,84.142,15.858,96.856,3.144,74.79,224,0.900,bicubic
-tf_efficientnet_b6,84.108,15.892,96.886,3.114,43.04,528,0.942,bicubic
-resnetrs200,84.066,15.934,96.874,3.126,93.21,320,1.000,bicubic
-cait_xs24_384,84.062,15.938,96.888,3.112,26.67,384,1.000,bicubic
+xcit_medium_24_p16_224_dist,84.274,15.726,96.940,3.060,84.40,224,1.000,bicubic
+vit_base_patch16_224_miil,84.272,15.728,96.802,3.198,86.54,224,0.875,bilinear
+tf_efficientnet_b5_ap,84.256,15.744,96.976,3.024,30.39,456,0.934,bicubic
+xcit_small_12_p8_224_dist,84.236,15.764,96.874,3.126,26.21,224,1.000,bicubic
+regnetz_040,84.234,15.766,96.932,3.068,27.12,320,1.000,bicubic
+seresnext101_32x8d,84.204,15.796,96.876,3.124,93.57,288,1.000,bicubic
+crossvit_18_dagger_408,84.194,15.806,96.818,3.182,44.61,408,1.000,bicubic
+ig_resnext101_32x16d,84.170,15.830,97.198,2.802,194.03,224,0.875,bilinear
+volo_d1_224,84.162,15.838,96.776,3.224,26.63,224,0.960,bicubic
+pit_b_distilled_224,84.140,15.860,96.856,3.144,74.79,224,0.900,bicubic
+tf_efficientnet_b6,84.110,15.890,96.888,3.112,43.04,528,0.942,bicubic
+cait_xs24_384,84.062,15.938,96.890,3.110,26.67,384,1.000,bicubic
+regnetz_d8_evos,84.054,15.946,96.996,3.004,23.46,320,0.950,bicubic
 regnetz_d8,84.052,15.948,96.994,3.006,23.37,320,1.000,bicubic
 tf_efficientnet_b3_ns,84.048,15.952,96.908,3.092,12.23,300,0.904,bicubic
-vit_small_r26_s32_384,84.046,15.954,97.330,2.670,36.47,384,1.000,bicubic
+vit_small_r26_s32_384,84.042,15.958,97.328,2.672,36.47,384,1.000,bicubic
 regnetz_d32,84.022,15.978,96.866,3.134,27.58,320,0.950,bicubic
 resnetv2_50x3_bitm,84.014,15.986,97.124,2.876,217.32,448,1.000,bilinear
 eca_nfnet_l1,84.012,15.988,97.028,2.972,41.41,320,1.000,bicubic
-resnet200d,83.962,16.038,96.824,3.176,64.69,320,1.000,bicubic
+resnet200d,83.964,16.036,96.824,3.176,64.69,320,1.000,bicubic
+swin_s3_base_224,83.932,16.068,96.660,3.340,71.13,224,0.900,bicubic
+regnety_080,83.926,16.074,96.888,3.112,39.18,288,1.000,bicubic
 tf_efficientnetv2_s,83.886,16.114,96.696,3.304,21.46,384,1.000,bicubic
-xcit_small_24_p16_224_dist,83.862,16.138,96.724,3.276,47.67,224,1.000,bicubic
+xcit_small_24_p16_224_dist,83.868,16.132,96.724,3.276,47.67,224,1.000,bicubic
 resnetv2_152x2_bit_teacher_384,83.844,16.156,97.118,2.882,236.34,384,1.000,bicubic
-xcit_small_24_p8_224,83.842,16.158,96.636,3.364,47.63,224,1.000,bicubic
-crossvit_15_dagger_408,83.832,16.168,96.784,3.216,28.50,408,1.000,bicubic
-resnest200e,83.830,16.170,96.894,3.106,70.20,320,0.909,bicubic
-convnext_base,83.816,16.184,96.768,3.232,88.59,224,0.875,bicubic
+convnext_base,83.838,16.162,96.750,3.250,88.59,224,0.875,bicubic
+xcit_small_24_p8_224,83.838,16.162,96.636,3.364,47.63,224,1.000,bicubic
+crossvit_15_dagger_408,83.836,16.164,96.784,3.216,28.50,408,1.000,bicubic
+resnest200e,83.828,16.172,96.892,3.108,70.20,320,0.909,bicubic
 tf_efficientnet_b5,83.812,16.188,96.748,3.252,30.39,456,0.934,bicubic
 efficientnetv2_rw_s,83.810,16.190,96.722,3.278,23.94,384,1.000,bicubic
-vit_small_patch16_384,83.806,16.194,97.100,2.900,22.20,384,1.000,bicubic
-xcit_tiny_24_p8_384_dist,83.748,16.252,96.710,3.290,12.11,384,1.000,bicubic
+vit_small_patch16_384,83.804,16.196,97.102,2.898,22.20,384,1.000,bicubic
+swin_s3_small_224,83.768,16.232,96.452,3.548,49.74,224,0.900,bicubic
+xcit_tiny_24_p8_384_dist,83.742,16.258,96.710,3.290,12.11,384,1.000,bicubic
 xcit_medium_24_p8_224,83.736,16.264,96.394,3.606,84.32,224,1.000,bicubic
-resnetrs152,83.712,16.288,96.614,3.386,86.62,320,1.000,bicubic
-regnety_160,83.686,16.314,96.776,3.224,83.59,288,1.000,bicubic
+regnety_064,83.720,16.280,96.722,3.278,30.58,288,1.000,bicubic
+resnetrs152,83.714,16.286,96.614,3.386,86.62,320,1.000,bicubic
+regnetv_064,83.714,16.286,96.746,3.254,30.58,288,1.000,bicubic
+regnety_160,83.690,16.310,96.776,3.224,83.59,288,1.000,bicubic
 twins_svt_large,83.680,16.320,96.594,3.406,99.27,224,0.900,bicubic
-resnet152d,83.674,16.326,96.738,3.262,60.21,320,1.000,bicubic
+resnet152d,83.678,16.322,96.738,3.262,60.21,320,1.000,bicubic
 resmlp_big_24_distilled_224,83.588,16.412,96.648,3.352,129.14,224,0.875,bicubic
-jx_nest_base,83.554,16.446,96.364,3.636,67.72,224,0.875,bicubic
+jx_nest_base,83.556,16.444,96.362,3.638,67.72,224,0.875,bicubic
 cait_s24_224,83.458,16.542,96.564,3.436,46.92,224,1.000,bicubic
 efficientnet_b4,83.424,16.576,96.596,3.404,19.34,384,1.000,bicubic
-deit_base_distilled_patch16_224,83.390,16.610,96.486,3.514,87.34,224,0.900,bicubic
+deit_base_distilled_patch16_224,83.392,16.608,96.486,3.514,87.34,224,0.900,bicubic
 dm_nfnet_f0,83.386,16.614,96.574,3.426,71.49,256,0.900,bicubic
-swsl_resnext101_32x16d,83.356,16.644,96.842,3.158,194.03,224,0.875,bilinear
-xcit_small_12_p16_224_dist,83.348,16.652,96.414,3.586,26.25,224,1.000,bicubic
-vit_base_patch32_384,83.348,16.652,96.836,3.164,88.30,384,1.000,bicubic
+swsl_resnext101_32x16d,83.350,16.650,96.844,3.156,194.03,224,0.875,bilinear
+xcit_small_12_p16_224_dist,83.350,16.650,96.414,3.586,26.25,224,1.000,bicubic
+vit_base_patch32_384,83.348,16.652,96.834,3.166,88.30,384,1.000,bicubic
 xcit_small_12_p8_224,83.344,16.656,96.480,3.520,26.21,224,1.000,bicubic
 tf_efficientnet_b4_ap,83.252,16.748,96.394,3.606,19.34,380,0.922,bicubic
 swsl_resnext101_32x4d,83.236,16.764,96.764,3.236,44.18,224,0.875,bilinear
-swin_small_patch4_window7_224,83.214,16.786,96.324,3.676,49.61,224,0.900,bicubic
-twins_pcpvt_large,83.136,16.864,96.602,3.398,60.99,224,0.900,bicubic
-twins_svt_base,83.136,16.864,96.420,3.580,56.07,224,0.900,bicubic
-convnext_small,83.126,16.874,96.424,3.576,50.22,224,0.875,bicubic
-jx_nest_small,83.120,16.880,96.328,3.672,38.35,224,0.875,bicubic
-deit_base_patch16_384,83.106,16.894,96.370,3.630,86.86,384,1.000,bicubic
-tresnet_m,83.072,16.928,96.118,3.882,31.39,224,0.875,bilinear
+swin_small_patch4_window7_224,83.216,16.784,96.324,3.676,49.61,224,0.900,bicubic
+regnetv_040,83.200,16.800,96.662,3.338,20.64,288,1.000,bicubic
+xception65,83.180,16.820,96.592,3.408,39.92,299,0.940,bicubic
+convnext_small,83.150,16.850,96.432,3.568,50.22,224,0.875,bicubic
+resnext101_64x4d,83.140,16.860,96.370,3.630,83.46,288,1.000,bicubic
+twins_svt_base,83.138,16.862,96.420,3.580,56.07,224,0.900,bicubic
+twins_pcpvt_large,83.134,16.866,96.604,3.396,60.99,224,0.900,bicubic
+xception65p,83.126,16.874,96.478,3.522,39.82,299,0.940,bicubic
+jx_nest_small,83.118,16.882,96.330,3.670,38.35,224,0.875,bicubic
+deit_base_patch16_384,83.106,16.894,96.368,3.632,86.86,384,1.000,bicubic
+tresnet_m,83.070,16.930,96.120,3.880,31.39,224,0.875,bilinear
 tresnet_xl_448,83.054,16.946,96.172,3.828,78.44,448,0.875,bilinear
+regnety_040,83.036,16.964,96.506,3.494,20.65,288,1.000,bicubic
 tf_efficientnet_b4,83.024,16.976,96.300,3.700,19.34,380,0.922,bicubic
-resnet101d,83.022,16.978,96.446,3.554,44.57,320,1.000,bicubic
-xcit_large_24_p16_224,82.892,17.108,95.878,4.122,189.10,224,1.000,bicubic
-resnest101e,82.888,17.112,96.320,3.680,48.28,256,0.875,bilinear
+resnet101d,83.022,16.978,96.448,3.552,44.57,320,1.000,bicubic
+xcit_large_24_p16_224,82.894,17.106,95.882,4.118,189.10,224,1.000,bicubic
+resnest101e,82.890,17.110,96.318,3.682,48.28,256,0.875,bilinear
 resnetv2_152x2_bit_teacher,82.872,17.128,96.570,3.430,236.34,224,0.875,bicubic
-resnetv2_50x1_bit_distilled,82.828,17.172,96.526,3.474,25.55,224,0.875,bicubic
-resnet152,82.824,17.176,96.134,3.866,60.19,224,0.950,bicubic
-pnasnet5large,82.788,17.212,96.040,3.960,86.06,331,0.911,bicubic
+resnetv2_50x1_bit_distilled,82.822,17.178,96.528,3.472,25.55,224,0.875,bicubic
+resnet152,82.820,17.180,96.130,3.870,60.19,224,0.950,bicubic
+pnasnet5large,82.790,17.210,96.040,3.960,86.06,331,0.911,bicubic
 nfnet_l0,82.752,17.248,96.518,3.482,35.07,288,1.000,bicubic
 regnety_032,82.726,17.274,96.424,3.576,19.44,288,1.000,bicubic
-twins_pcpvt_base,82.704,17.296,96.348,3.652,43.83,224,0.900,bicubic
-ig_resnext101_32x8d,82.698,17.302,96.632,3.368,88.79,224,0.875,bilinear
-xcit_medium_24_p16_224,82.638,17.362,95.976,4.024,84.40,224,1.000,bicubic
+twins_pcpvt_base,82.708,17.292,96.350,3.650,43.83,224,0.900,bicubic
+ig_resnext101_32x8d,82.700,17.300,96.630,3.370,88.79,224,0.875,bilinear
+xcit_medium_24_p16_224,82.638,17.362,95.974,4.026,84.40,224,1.000,bicubic
+regnetz_c16_evos,82.632,17.368,96.476,3.524,13.49,320,0.950,bicubic
 nasnetalarge,82.626,17.374,96.046,3.954,88.75,331,0.911,bicubic
 levit_384,82.588,17.412,96.022,3.978,39.13,224,0.900,bicubic
-xcit_small_24_p16_224,82.582,17.418,96.004,3.996,47.67,224,1.000,bicubic
-eca_nfnet_l0,82.578,17.422,96.492,3.508,24.14,288,1.000,bicubic
-xcit_tiny_24_p16_384_dist,82.570,17.430,96.284,3.716,12.12,384,1.000,bicubic
-xcit_tiny_24_p8_224_dist,82.562,17.438,96.168,3.832,12.11,224,1.000,bicubic
+xcit_small_24_p16_224,82.580,17.420,96.006,3.994,47.67,224,1.000,bicubic
+eca_nfnet_l0,82.576,17.424,96.490,3.510,24.14,288,1.000,bicubic
+xcit_tiny_24_p16_384_dist,82.572,17.428,96.288,3.712,12.12,384,1.000,bicubic
+xcit_tiny_24_p8_224_dist,82.564,17.436,96.170,3.830,12.11,224,1.000,bicubic
 resnet61q,82.526,17.474,96.134,3.866,36.85,288,1.000,bicubic
-crossvit_18_dagger_240,82.520,17.480,96.072,3.928,44.27,240,0.875,bicubic
-regnetz_c16,82.518,17.482,96.360,3.640,13.46,320,0.940,bicubic
+crossvit_18_dagger_240,82.520,17.480,96.070,3.930,44.27,240,0.875,bicubic
+regnetz_c16,82.516,17.484,96.360,3.640,13.46,320,0.940,bicubic
 gc_efficientnetv2_rw_t,82.466,17.534,96.296,3.704,13.68,288,1.000,bicubic
-pit_b_224,82.444,17.556,95.712,4.288,73.76,224,0.900,bicubic
-crossvit_18_240,82.400,17.600,96.054,3.946,43.27,240,0.875,bicubic
-xcit_tiny_12_p8_384_dist,82.392,17.608,96.222,3.778,6.71,384,1.000,bicubic
+poolformer_m48,82.462,17.538,95.958,4.042,73.47,224,0.950,bicubic
+pit_b_224,82.446,17.554,95.710,4.290,73.76,224,0.900,bicubic
+crossvit_18_240,82.398,17.602,96.058,3.942,43.27,240,0.875,bicubic
+xcit_tiny_12_p8_384_dist,82.394,17.606,96.220,3.780,6.71,384,1.000,bicubic
 tf_efficientnet_b2_ns,82.380,17.620,96.248,3.752,9.11,260,0.890,bicubic
 resnet51q,82.362,17.638,96.180,3.820,35.70,288,1.000,bilinear
 ecaresnet50t,82.348,17.652,96.138,3.862,25.57,320,0.950,bicubic
 efficientnetv2_rw_t,82.344,17.656,96.196,3.804,13.65,288,1.000,bicubic
-resnetv2_101x1_bitm,82.334,17.666,96.516,3.484,44.54,448,1.000,bilinear
-crossvit_15_dagger_240,82.326,17.674,95.958,4.042,28.21,240,0.875,bicubic
-coat_lite_small,82.310,17.690,95.848,4.152,19.84,224,0.900,bicubic
-mixer_b16_224_miil,82.304,17.696,95.716,4.284,59.88,224,0.875,bilinear
-convit_base,82.294,17.706,95.934,4.066,86.54,224,0.875,bicubic
-resnetrs101,82.288,17.712,96.008,3.992,63.62,288,0.940,bicubic
-tresnet_l_448,82.270,17.730,95.978,4.022,55.99,448,0.875,bilinear
-efficientnet_b3,82.242,17.758,96.114,3.886,12.23,320,1.000,bicubic
-crossvit_base_240,82.214,17.786,95.832,4.168,105.03,240,0.875,bicubic
-cait_xxs36_384,82.192,17.808,96.146,3.854,17.37,384,1.000,bicubic
-swsl_resnext50_32x4d,82.174,17.826,96.232,3.768,25.03,224,0.875,bilinear
-ecaresnet101d,82.172,17.828,96.048,3.952,44.57,224,0.875,bicubic
+resnetv2_101x1_bitm,82.336,17.664,96.516,3.484,44.54,448,1.000,bilinear
+crossvit_15_dagger_240,82.330,17.670,95.958,4.042,28.21,240,0.875,bicubic
+mixer_b16_224_miil,82.308,17.692,95.718,4.282,59.88,224,0.875,bilinear
+coat_lite_small,82.304,17.696,95.848,4.152,19.84,224,0.900,bicubic
+resnetrs101,82.288,17.712,96.010,3.990,63.62,288,0.940,bicubic
+convit_base,82.286,17.714,95.938,4.062,86.54,224,0.875,bicubic
+tresnet_l_448,82.268,17.732,95.982,4.018,55.99,448,0.875,bilinear
+efficientnet_b3,82.240,17.760,96.114,3.886,12.23,320,1.000,bicubic
+convnext_tiny_hnf,82.222,17.778,95.866,4.134,28.59,224,0.950,bicubic
+crossvit_base_240,82.216,17.784,95.834,4.166,105.03,240,0.875,bicubic
+cait_xxs36_384,82.194,17.806,96.144,3.856,17.37,384,1.000,bicubic
+swsl_resnext50_32x4d,82.176,17.824,96.232,3.768,25.03,224,0.875,bilinear
+ecaresnet101d,82.172,17.828,96.046,3.954,44.57,224,0.875,bicubic
+swin_s3_tiny_224,82.126,17.874,95.950,4.050,28.33,224,0.900,bicubic
+poolformer_m36,82.112,17.888,95.690,4.310,56.17,224,0.950,bicubic
 visformer_small,82.106,17.894,95.874,4.126,40.22,224,0.900,bicubic
-convnext_tiny,82.064,17.936,95.834,4.166,28.59,224,0.875,bicubic
-halo2botnet50ts_256,82.062,17.938,95.642,4.358,22.64,256,0.950,bicubic
+convnext_tiny,82.064,17.936,95.852,4.148,28.59,224,0.875,bicubic
+halo2botnet50ts_256,82.060,17.940,95.642,4.358,22.64,256,0.950,bicubic
 tresnet_xl,82.058,17.942,95.936,4.064,78.44,224,0.875,bilinear
 fbnetv3_g,82.046,17.954,96.064,3.936,16.62,288,0.950,bilinear
-resnetv2_101,82.042,17.958,95.862,4.138,44.54,224,0.950,bicubic
-pit_s_distilled_224,81.996,18.004,95.796,4.204,24.04,224,0.900,bicubic
-deit_base_patch16_224,81.994,18.006,95.734,4.266,86.57,224,0.900,bicubic
+resnetv2_101,82.042,17.958,95.864,4.136,44.54,224,0.950,bicubic
+deit_base_patch16_224,81.996,18.004,95.732,4.268,86.57,224,0.900,bicubic
+pit_s_distilled_224,81.994,18.006,95.798,4.202,24.04,224,0.900,bicubic
+resnetv2_50d_evos,81.980,18.020,95.910,4.090,25.59,288,0.950,bicubic
 xcit_small_12_p16_224,81.976,18.024,95.818,4.182,26.25,224,1.000,bicubic
-tf_efficientnetv2_b3,81.968,18.032,95.780,4.220,14.36,300,0.904,bicubic
-resnet101,81.932,18.068,95.766,4.234,44.55,224,0.950,bicubic
-xcit_tiny_24_p8_224,81.892,18.108,95.978,4.022,12.11,224,1.000,bicubic
+tf_efficientnetv2_b3,81.966,18.034,95.780,4.220,14.36,300,0.904,bicubic
+xception41p,81.960,18.040,95.794,4.206,26.91,299,0.940,bicubic
+resnet101,81.932,18.068,95.770,4.230,44.55,224,0.950,bicubic
+xcit_tiny_24_p8_224,81.892,18.108,95.976,4.024,12.11,224,1.000,bicubic
 vit_small_r26_s32_224,81.856,18.144,96.020,3.980,36.43,224,0.900,bicubic
-ssl_resnext101_32x16d,81.854,18.146,96.094,3.906,194.03,224,0.875,bilinear
-tf_efficientnet_b3_ap,81.826,18.174,95.624,4.376,12.23,300,0.904,bicubic
-tresnet_m_448,81.704,18.296,95.574,4.426,31.39,448,0.875,bilinear
-twins_svt_small,81.684,18.316,95.672,4.328,24.06,224,0.900,bicubic
-halonet50ts,81.658,18.342,95.610,4.390,22.73,256,0.940,bicubic
+ssl_resnext101_32x16d,81.854,18.146,96.096,3.904,194.03,224,0.875,bilinear
+tf_efficientnet_b3_ap,81.826,18.174,95.622,4.378,12.23,300,0.904,bicubic
+resnetv2_50d_gn,81.818,18.182,95.922,4.078,25.57,288,0.950,bicubic
+tresnet_m_448,81.704,18.296,95.572,4.428,31.39,448,0.875,bilinear
+twins_svt_small,81.680,18.320,95.670,4.330,24.06,224,0.900,bicubic
+halonet50ts,81.660,18.340,95.612,4.388,22.73,256,0.940,bicubic
 tf_efficientnet_b3,81.636,18.364,95.718,4.282,12.23,300,0.904,bicubic
-rexnet_200,81.628,18.372,95.668,4.332,16.37,224,0.875,bicubic
+rexnet_200,81.630,18.370,95.668,4.332,16.37,224,0.875,bicubic
 ssl_resnext101_32x8d,81.608,18.392,96.042,3.958,88.79,224,0.875,bilinear
-lamhalobotnet50ts_256,81.550,18.450,95.502,4.498,22.57,256,0.950,bicubic
-crossvit_15_240,81.544,18.456,95.688,4.312,27.53,240,0.875,bicubic
+lamhalobotnet50ts_256,81.546,18.454,95.502,4.498,22.57,256,0.950,bicubic
+crossvit_15_240,81.542,18.458,95.690,4.310,27.53,240,0.875,bicubic
 tf_efficientnet_lite4,81.536,18.464,95.668,4.332,13.01,380,0.920,bilinear
-tnt_s_patch16_224,81.516,18.484,95.746,4.254,23.76,224,0.900,bicubic
-vit_large_patch32_384,81.510,18.490,96.094,3.906,306.63,384,1.000,bicubic
+tnt_s_patch16_224,81.520,18.480,95.744,4.256,23.76,224,0.900,bicubic
 levit_256,81.506,18.494,95.492,4.508,18.89,224,0.900,bicubic
-tresnet_l,81.490,18.510,95.624,4.376,55.99,224,0.875,bilinear
+vit_large_patch32_384,81.506,18.494,96.094,3.906,306.63,384,1.000,bicubic
+tresnet_l,81.492,18.508,95.624,4.376,55.99,224,0.875,bilinear
 wide_resnet50_2,81.452,18.548,95.530,4.470,68.88,224,0.875,bicubic
-convit_small,81.424,18.576,95.742,4.258,27.78,224,0.875,bicubic
-jx_nest_tiny,81.422,18.578,95.616,4.384,17.06,224,0.875,bicubic
-vit_small_patch16_224,81.396,18.604,96.134,3.866,22.05,224,0.900,bicubic
-tf_efficientnet_b1_ns,81.386,18.614,95.736,4.264,7.79,240,0.882,bicubic
-swin_tiny_patch4_window7_224,81.374,18.626,95.542,4.458,28.29,224,0.900,bicubic
+convit_small,81.420,18.580,95.740,4.260,27.78,224,0.875,bicubic
+jx_nest_tiny,81.420,18.580,95.618,4.382,17.06,224,0.875,bicubic
+poolformer_s36,81.418,18.582,95.450,4.550,30.86,224,0.900,bicubic
+vit_small_patch16_224,81.396,18.604,96.132,3.868,22.05,224,0.900,bicubic
+tf_efficientnet_b1_ns,81.388,18.612,95.736,4.264,7.79,240,0.882,bicubic
+swin_tiny_patch4_window7_224,81.374,18.626,95.544,4.456,28.29,224,0.900,bicubic
 convmixer_1536_20,81.366,18.634,95.614,4.386,51.63,224,0.960,bicubic
-gernet_l,81.346,18.654,95.532,4.468,31.08,256,0.875,bilinear
-legacy_senet154,81.310,18.690,95.490,4.510,115.09,224,0.875,bilinear
-efficientnet_el,81.306,18.694,95.526,4.474,10.59,300,0.904,bicubic
-coat_mini,81.264,18.736,95.394,4.606,10.34,224,0.900,bicubic
-seresnext50_32x4d,81.258,18.742,95.628,4.372,27.56,224,0.875,bicubic
+gernet_l,81.344,18.656,95.532,4.468,31.08,256,0.875,bilinear
+efficientnet_el,81.310,18.690,95.530,4.470,10.59,300,0.904,bicubic
+legacy_senet154,81.310,18.690,95.496,4.504,115.09,224,0.875,bilinear
+coat_mini,81.266,18.734,95.394,4.606,10.34,224,0.900,bicubic
+seresnext50_32x4d,81.258,18.742,95.630,4.370,27.56,224,0.875,bicubic
 gluon_senet154,81.232,18.768,95.348,4.652,115.09,224,0.875,bicubic
-xcit_tiny_12_p8_224_dist,81.208,18.792,95.602,4.398,6.71,224,1.000,bicubic
-deit_small_distilled_patch16_224,81.204,18.796,95.378,4.622,22.44,224,0.900,bicubic
-swsl_resnet50,81.170,18.830,95.978,4.022,25.56,224,0.875,bilinear
+deit_small_distilled_patch16_224,81.208,18.792,95.374,4.626,22.44,224,0.900,bicubic
+xcit_tiny_12_p8_224_dist,81.208,18.792,95.600,4.400,6.71,224,1.000,bicubic
+swsl_resnet50,81.174,18.826,95.978,4.022,25.56,224,0.875,bilinear
+sebotnet33ts_256,81.156,18.844,95.170,4.830,13.70,256,0.940,bicubic
 resmlp_36_distilled_224,81.154,18.846,95.488,4.512,44.69,224,0.875,bicubic
-sebotnet33ts_256,81.154,18.846,95.168,4.832,13.70,256,0.940,bicubic
-lambda_resnet50ts,81.150,18.850,95.104,4.896,21.54,256,0.950,bicubic
+lambda_resnet50ts,81.146,18.854,95.102,4.898,21.54,256,0.950,bicubic
 resnest50d_4s2x40d,81.110,18.890,95.564,4.436,30.42,224,0.875,bicubic
-resnext50_32x4d,81.104,18.896,95.326,4.674,25.03,224,0.950,bicubic
-pit_s_224,81.098,18.902,95.330,4.670,23.46,224,0.900,bicubic
-twins_pcpvt_small,81.088,18.912,95.640,4.360,24.11,224,0.900,bicubic
-haloregnetz_b,81.052,18.948,95.194,4.806,11.68,224,0.940,bicubic
+resnext50_32x4d,81.108,18.892,95.326,4.674,25.03,224,0.950,bicubic
+pit_s_224,81.100,18.900,95.330,4.670,23.46,224,0.900,bicubic
+twins_pcpvt_small,81.090,18.910,95.640,4.360,24.11,224,0.900,bicubic
+haloregnetz_b,81.050,18.950,95.196,4.804,11.68,224,0.940,bicubic
 resmlp_big_24_224,81.032,18.968,95.020,4.980,129.14,224,0.875,bicubic
-crossvit_small_240,81.022,18.978,95.458,4.542,26.86,240,0.875,bicubic
-gluon_resnet152_v1s,81.022,18.978,95.414,4.586,60.32,224,0.875,bicubic
-resnest50d_1s4x24d,80.986,19.014,95.320,4.680,25.68,224,0.875,bicubic
-resnest50d,80.978,19.022,95.378,4.622,27.48,224,0.875,bilinear
-sehalonet33ts,80.966,19.034,95.272,4.728,13.69,256,0.940,bicubic
-cait_xxs24_384,80.964,19.036,95.646,4.354,12.03,384,1.000,bicubic
-xcit_tiny_12_p16_384_dist,80.944,19.056,95.410,4.590,6.72,384,1.000,bicubic
-gcresnet50t,80.938,19.062,95.452,4.548,25.90,256,0.900,bicubic
-ssl_resnext101_32x4d,80.926,19.074,95.724,4.276,44.18,224,0.875,bilinear
-gluon_seresnext101_32x4d,80.906,19.094,95.296,4.704,48.96,224,0.875,bicubic
+crossvit_small_240,81.018,18.982,95.456,4.544,26.86,240,0.875,bicubic
+gluon_resnet152_v1s,81.016,18.984,95.412,4.588,60.32,224,0.875,bicubic
+resnest50d_1s4x24d,80.990,19.010,95.324,4.676,25.68,224,0.875,bicubic
+resnest50d,80.982,19.018,95.380,4.620,27.48,224,0.875,bilinear
+cait_xxs24_384,80.966,19.034,95.646,4.354,12.03,384,1.000,bicubic
+sehalonet33ts,80.964,19.036,95.272,4.728,13.69,256,0.940,bicubic
+xcit_tiny_12_p16_384_dist,80.944,19.056,95.412,4.588,6.72,384,1.000,bicubic
+gcresnet50t,80.942,19.058,95.454,4.546,25.90,256,0.900,bicubic
+ssl_resnext101_32x4d,80.924,19.076,95.726,4.274,44.18,224,0.875,bilinear
+gluon_seresnext101_32x4d,80.906,19.094,95.294,4.706,48.96,224,0.875,bicubic
 gluon_seresnext101_64x4d,80.878,19.122,95.298,4.702,88.23,224,0.875,bicubic
-efficientnet_b3_pruned,80.856,19.144,95.244,4.756,9.86,300,0.904,bicubic
-ecaresnet101d_pruned,80.816,19.184,95.634,4.366,24.88,224,0.875,bicubic
-regnety_320,80.808,19.192,95.244,4.756,145.05,224,0.875,bicubic
+efficientnet_b3_pruned,80.858,19.142,95.244,4.756,9.86,300,0.904,bicubic
+ecaresnet101d_pruned,80.814,19.186,95.630,4.370,24.88,224,0.875,bicubic
+regnety_320,80.810,19.190,95.244,4.756,145.05,224,0.875,bicubic
 resmlp_24_distilled_224,80.764,19.236,95.224,4.776,30.02,224,0.875,bicubic
-gernet_m,80.746,19.254,95.184,4.816,21.14,224,0.875,bilinear
+gernet_m,80.744,19.256,95.184,4.816,21.14,224,0.875,bilinear
 vit_base_patch32_224,80.722,19.278,95.566,4.434,88.22,224,0.900,bicubic
-regnetz_b16,80.716,19.284,95.478,4.522,9.72,288,0.940,bicubic
+regnetz_b16,80.714,19.286,95.478,4.522,9.72,288,0.940,bicubic
 nf_resnet50,80.654,19.346,95.334,4.666,25.56,288,0.940,bicubic
-efficientnet_b2,80.612,19.388,95.314,4.686,9.11,288,1.000,bicubic
+efficientnet_b2,80.614,19.386,95.316,4.684,9.11,288,1.000,bicubic
 gluon_resnext101_64x4d,80.604,19.396,94.992,5.008,83.46,224,0.875,bicubic
-ecaresnet50d,80.602,19.398,95.320,4.680,25.58,224,0.875,bicubic
+ecaresnet50d,80.600,19.400,95.320,4.680,25.58,224,0.875,bicubic
 gcresnext50ts,80.578,19.422,95.170,4.830,15.67,256,0.900,bicubic
-resnet50d,80.526,19.474,95.162,4.838,25.58,224,0.875,bicubic
+resnet50d,80.522,19.478,95.162,4.838,25.58,224,0.875,bicubic
 repvgg_b3,80.496,19.504,95.264,4.736,123.09,224,0.875,bilinear
-vit_small_patch32_384,80.484,19.516,95.598,4.402,22.92,384,1.000,bicubic
-gluon_resnet152_v1d,80.476,19.524,95.208,4.792,60.21,224,0.875,bicubic
-mixnet_xl,80.476,19.524,94.934,5.066,11.90,224,0.875,bicubic
-ecaresnetlight,80.462,19.538,95.252,4.748,30.16,224,0.875,bicubic
+vit_small_patch32_384,80.484,19.516,95.600,4.400,22.92,384,1.000,bicubic
+gluon_resnet152_v1d,80.476,19.524,95.204,4.796,60.21,224,0.875,bicubic
+mixnet_xl,80.474,19.526,94.934,5.066,11.90,224,0.875,bicubic
 inception_resnet_v2,80.460,19.540,95.308,4.692,55.84,299,0.897,bicubic
-xcit_tiny_24_p16_224_dist,80.448,19.552,95.216,4.784,12.12,224,1.000,bicubic
+ecaresnetlight,80.452,19.548,95.250,4.750,30.16,224,0.875,bicubic
+xcit_tiny_24_p16_224_dist,80.446,19.554,95.216,4.784,12.12,224,1.000,bicubic
 resnetv2_50,80.420,19.580,95.074,4.926,25.55,224,0.950,bicubic
-gluon_resnet101_v1d,80.416,19.584,95.016,4.984,44.57,224,0.875,bicubic
-resnet50,80.372,19.628,94.610,5.390,25.56,224,0.950,bicubic
-regnety_120,80.370,19.630,95.124,4.876,51.82,224,0.875,bicubic
-seresnet33ts,80.356,19.644,95.108,4.892,19.78,256,0.900,bicubic
+gluon_resnet101_v1d,80.420,19.580,95.016,4.984,44.57,224,0.875,bicubic
+resnet50,80.376,19.624,94.616,5.384,25.56,224,0.950,bicubic
+regnety_120,80.376,19.624,95.126,4.874,51.82,224,0.875,bicubic
+seresnet33ts,80.350,19.650,95.106,4.894,19.78,256,0.900,bicubic
+gluon_resnext101_32x4d,80.344,19.656,94.926,5.074,44.18,224,0.875,bicubic
 resnetv2_50x1_bitm,80.342,19.658,95.680,4.320,25.55,448,1.000,bilinear
-gluon_resnext101_32x4d,80.340,19.660,94.926,5.074,44.18,224,0.875,bicubic
 ssl_resnext50_32x4d,80.316,19.684,95.410,4.590,25.03,224,0.875,bilinear
+poolformer_s24,80.314,19.686,95.046,4.954,21.39,224,0.900,bicubic
 rexnet_150,80.310,19.690,95.166,4.834,9.73,224,0.875,bicubic
-efficientnet_el_pruned,80.302,19.698,95.218,4.782,10.59,300,0.904,bicubic
-gluon_resnet101_v1s,80.302,19.698,95.160,4.840,44.67,224,0.875,bicubic
 tf_efficientnet_b2_ap,80.302,19.698,95.028,4.972,9.11,260,0.890,bicubic
+efficientnet_el_pruned,80.302,19.698,95.216,4.784,10.59,300,0.904,bicubic
+gluon_resnet101_v1s,80.298,19.702,95.164,4.836,44.67,224,0.875,bicubic
 seresnet50,80.264,19.736,95.072,4.928,28.09,224,0.875,bicubic
-tf_efficientnet_el,80.250,19.750,95.130,4.870,10.59,300,0.904,bicubic
-vit_base_patch16_224_sam,80.242,19.758,94.756,5.244,86.57,224,0.900,bicubic
+tf_efficientnet_el,80.250,19.750,95.122,4.878,10.59,300,0.904,bicubic
+vit_base_patch16_224_sam,80.242,19.758,94.754,5.246,86.57,224,0.900,bicubic
 regnetx_320,80.240,19.760,95.022,4.978,107.81,224,0.875,bicubic
-legacy_seresnext101_32x4d,80.228,19.772,95.014,4.986,48.96,224,0.875,bilinear
+legacy_seresnext101_32x4d,80.224,19.776,95.010,4.990,48.96,224,0.875,bilinear
 repvgg_b3g4,80.212,19.788,95.106,4.894,83.83,224,0.875,bilinear
 tf_efficientnetv2_b2,80.206,19.794,95.042,4.958,10.10,260,0.890,bicubic
 dpn107,80.172,19.828,94.906,5.094,86.92,224,0.875,bicubic
-inception_v4,80.170,19.830,94.970,5.030,42.68,299,0.875,bicubic
 convmixer_768_32,80.164,19.836,95.072,4.928,21.11,224,0.960,bicubic
+inception_v4,80.162,19.838,94.966,5.034,42.68,299,0.875,bicubic
 skresnext50_32x4d,80.152,19.848,94.644,5.356,27.48,224,0.875,bicubic
-eca_resnet33ts,80.084,19.916,94.970,5.030,19.68,256,0.900,bicubic
-gcresnet33ts,80.084,19.916,95.000,5.000,19.88,256,0.900,bicubic
+eca_resnet33ts,80.080,19.920,94.970,5.030,19.68,256,0.900,bicubic
+gcresnet33ts,80.080,19.920,95.000,5.000,19.88,256,0.900,bicubic
 tf_efficientnet_b2,80.080,19.920,94.908,5.092,9.11,260,0.890,bicubic
 cspdarknet53,80.062,19.938,95.084,4.916,27.64,256,0.887,bilinear
-resnet50_gn,80.052,19.948,94.946,5.054,25.56,224,0.940,bicubic
+resnet50_gn,80.054,19.946,94.948,5.052,25.56,224,0.940,bicubic
 cspresnext50,80.050,19.950,94.946,5.054,20.57,224,0.875,bilinear
-dpn92,80.016,19.984,94.828,5.172,37.67,224,0.875,bicubic
-ens_adv_inception_resnet_v2,79.980,20.020,94.938,5.062,55.84,299,0.897,bicubic
+dpn92,80.016,19.984,94.824,5.176,37.67,224,0.875,bicubic
+ens_adv_inception_resnet_v2,79.978,20.022,94.938,5.062,55.84,299,0.897,bicubic
 efficientnet_b2_pruned,79.916,20.084,94.854,5.146,8.31,260,0.890,bicubic
-gluon_seresnext50_32x4d,79.916,20.084,94.834,5.166,27.56,224,0.875,bicubic
-gluon_resnet152_v1c,79.912,20.088,94.848,5.152,60.21,224,0.875,bicubic
-resnetrs50,79.890,20.110,94.966,5.034,35.69,224,0.910,bicubic
-regnety_080,79.880,20.120,94.830,5.170,39.18,224,0.875,bicubic
-xception71,79.872,20.128,94.922,5.078,42.34,299,0.903,bicubic
-deit_small_patch16_224,79.866,20.134,95.046,4.954,22.05,224,0.900,bicubic
-ecaresnet26t,79.848,20.152,95.084,4.916,16.01,320,0.950,bicubic
-regnetx_160,79.848,20.152,94.830,5.170,54.28,224,0.875,bicubic
+gluon_seresnext50_32x4d,79.914,20.086,94.832,5.168,27.56,224,0.875,bicubic
+gluon_resnet152_v1c,79.908,20.092,94.848,5.152,60.21,224,0.875,bicubic
+resnetrs50,79.886,20.114,94.966,5.034,35.69,224,0.910,bicubic
+xception71,79.876,20.124,94.922,5.078,42.34,299,0.903,bicubic
+deit_small_patch16_224,79.860,20.140,95.046,4.954,22.05,224,0.900,bicubic
+regnetx_160,79.850,20.150,94.830,5.170,54.28,224,0.875,bicubic
+ecaresnet26t,79.848,20.152,95.086,4.914,16.01,320,0.950,bicubic
 levit_192,79.832,20.168,94.786,5.214,10.95,224,0.900,bicubic
 dpn131,79.824,20.176,94.708,5.292,79.25,224,0.875,bicubic
-tf_efficientnet_lite3,79.818,20.182,94.914,5.086,8.20,300,0.904,bilinear
+tf_efficientnet_lite3,79.820,20.180,94.912,5.088,8.20,300,0.904,bilinear
 resmlp_36_224,79.768,20.232,94.886,5.114,44.69,224,0.875,bicubic
-cait_xxs36_224,79.750,20.250,94.870,5.130,17.30,224,1.000,bicubic
-regnety_064,79.720,20.280,94.764,5.236,30.58,224,0.875,bicubic
+cait_xxs36_224,79.748,20.252,94.866,5.134,17.30,224,1.000,bicubic
 gluon_xception65,79.716,20.284,94.860,5.140,39.92,299,0.903,bicubic
-ecaresnet50d_pruned,79.710,20.290,94.880,5.120,19.94,224,0.875,bicubic
-xcit_tiny_12_p8_224,79.694,20.306,95.054,4.946,6.71,224,1.000,bicubic
-fbnetv3_d,79.682,20.318,94.950,5.050,10.31,256,0.950,bilinear
-gluon_resnet152_v1b,79.676,20.324,94.738,5.262,60.19,224,0.875,bicubic
+ecaresnet50d_pruned,79.708,20.292,94.880,5.120,19.94,224,0.875,bicubic
+xcit_tiny_12_p8_224,79.690,20.310,95.054,4.946,6.71,224,1.000,bicubic
+fbnetv3_d,79.682,20.318,94.948,5.052,10.31,256,0.950,bilinear
+gluon_resnet152_v1b,79.680,20.320,94.738,5.262,60.19,224,0.875,bicubic
 resnext50d_32x4d,79.670,20.330,94.864,5.136,25.05,224,0.875,bicubic
-dpn98,79.644,20.356,94.598,5.402,61.57,224,0.875,bicubic
-gmlp_s16_224,79.642,20.358,94.624,5.376,19.42,224,0.875,bicubic
+dpn98,79.646,20.354,94.596,5.404,61.57,224,0.875,bicubic
+gmlp_s16_224,79.640,20.360,94.624,5.376,19.42,224,0.875,bicubic
 regnetx_120,79.592,20.408,94.734,5.266,46.11,224,0.875,bicubic
-cspresnet50,79.580,20.420,94.704,5.296,21.62,256,0.887,bilinear
-xception65,79.548,20.452,94.656,5.344,39.92,299,0.903,bicubic
-gluon_resnet101_v1c,79.532,20.468,94.580,5.420,44.57,224,0.875,bicubic
-rexnet_130,79.500,20.500,94.682,5.318,7.56,224,0.875,bicubic
-eca_halonext26ts,79.488,20.512,94.596,5.404,10.76,256,0.940,bicubic
-hrnet_w64,79.468,20.532,94.654,5.346,128.06,224,0.875,bilinear
-tf_efficientnetv2_b1,79.462,20.538,94.726,5.274,8.14,240,0.882,bicubic
-dla102x2,79.450,20.550,94.634,5.366,41.28,224,0.875,bilinear
-xcit_tiny_24_p16_224,79.448,20.552,94.886,5.114,12.12,224,1.000,bicubic
+cspresnet50,79.582,20.418,94.704,5.296,21.62,256,0.887,bilinear
+gluon_resnet101_v1c,79.534,20.466,94.580,5.420,44.57,224,0.875,bicubic
+rexnet_130,79.500,20.500,94.684,5.316,7.56,224,0.875,bicubic
+eca_halonext26ts,79.490,20.510,94.598,5.402,10.76,256,0.940,bicubic
+hrnet_w64,79.472,20.528,94.652,5.348,128.06,224,0.875,bilinear
+tf_efficientnetv2_b1,79.464,20.536,94.724,5.276,8.14,240,0.882,bicubic
+dla102x2,79.446,20.554,94.632,5.368,41.28,224,0.875,bilinear
+xcit_tiny_24_p16_224,79.444,20.556,94.884,5.116,12.12,224,1.000,bicubic
 resmlp_24_224,79.382,20.618,94.546,5.454,30.02,224,0.875,bicubic
-repvgg_b2g4,79.370,20.630,94.686,5.314,61.76,224,0.875,bilinear
-gluon_resnext50_32x4d,79.368,20.632,94.426,5.574,25.03,224,0.875,bicubic
+repvgg_b2g4,79.370,20.630,94.688,5.312,61.76,224,0.875,bilinear
+gluon_resnext50_32x4d,79.364,20.636,94.426,5.574,25.03,224,0.875,bicubic
 resnext101_32x8d,79.316,20.684,94.518,5.482,88.79,224,0.875,bilinear
-ese_vovnet39b,79.310,20.690,94.716,5.284,24.57,224,0.875,bicubic
-resnetblur50,79.308,20.692,94.634,5.366,25.56,224,0.875,bicubic
-tf_efficientnet_cc_b1_8e,79.306,20.694,94.370,5.630,39.72,240,0.882,bicubic
-gluon_resnet101_v1b,79.304,20.696,94.522,5.478,44.55,224,0.875,bicubic
-pit_xs_distilled_224,79.304,20.696,94.366,5.634,11.00,224,0.900,bicubic
-hrnet_w48,79.300,20.700,94.512,5.488,77.47,224,0.875,bilinear
-nf_regnet_b1,79.288,20.712,94.750,5.250,10.22,288,0.900,bicubic
-tf_efficientnet_b1_ap,79.278,20.722,94.306,5.694,7.79,240,0.882,bicubic
-eca_botnext26ts_256,79.272,20.728,94.616,5.384,10.59,256,0.950,bicubic
+ese_vovnet39b,79.312,20.688,94.714,5.286,24.57,224,0.875,bicubic
+pit_xs_distilled_224,79.306,20.694,94.364,5.636,11.00,224,0.900,bicubic
+tf_efficientnet_cc_b1_8e,79.306,20.694,94.372,5.628,39.72,240,0.882,bicubic
+resnetblur50,79.304,20.696,94.634,5.366,25.56,224,0.875,bicubic
+gluon_resnet101_v1b,79.302,20.698,94.520,5.480,44.55,224,0.875,bicubic
+hrnet_w48,79.302,20.698,94.512,5.488,77.47,224,0.875,bilinear
+nf_regnet_b1,79.288,20.712,94.748,5.252,10.22,288,0.900,bicubic
+tf_efficientnet_b1_ap,79.280,20.720,94.304,5.696,7.79,240,0.882,bicubic
+eca_botnext26ts_256,79.274,20.726,94.616,5.384,10.59,256,0.950,bicubic
 botnet26t_256,79.252,20.748,94.528,5.472,12.49,256,0.950,bicubic
-efficientnet_em,79.250,20.750,94.796,5.204,6.90,240,0.882,bicubic
-ssl_resnet50,79.220,20.780,94.832,5.168,25.56,224,0.875,bilinear
-regnety_040,79.216,20.784,94.656,5.344,20.65,224,0.875,bicubic
-dpn68b,79.214,20.786,94.414,5.586,12.61,224,0.875,bicubic
-resnet33ts,79.212,20.788,94.572,5.428,19.68,256,0.900,bicubic
-regnetx_080,79.200,20.800,94.552,5.448,39.57,224,0.875,bicubic
-res2net101_26w_4s,79.198,20.802,94.438,5.562,45.21,224,0.875,bilinear
-fbnetv3_b,79.150,20.850,94.746,5.254,8.60,256,0.950,bilinear
-halonet26t,79.116,20.884,94.312,5.688,12.48,256,0.950,bicubic
-lambda_resnet26t,79.096,20.904,94.588,5.412,10.96,256,0.940,bicubic
-coat_lite_mini,79.092,20.908,94.606,5.394,11.01,224,0.900,bicubic
-gluon_resnet50_v1d,79.076,20.924,94.470,5.530,25.58,224,0.875,bicubic
-legacy_seresnext50_32x4d,79.070,20.930,94.432,5.568,27.56,224,0.875,bilinear
+efficientnet_em,79.250,20.750,94.794,5.206,6.90,240,0.882,bicubic
+ssl_resnet50,79.226,20.774,94.836,5.164,25.56,224,0.875,bilinear
+dpn68b,79.220,20.780,94.418,5.582,12.61,224,0.875,bicubic
+resnet33ts,79.210,20.790,94.572,5.428,19.68,256,0.900,bicubic
+regnetx_080,79.202,20.798,94.554,5.446,39.57,224,0.875,bicubic
+res2net101_26w_4s,79.196,20.804,94.436,5.564,45.21,224,0.875,bilinear
+fbnetv3_b,79.148,20.852,94.746,5.254,8.60,256,0.950,bilinear
+halonet26t,79.116,20.884,94.310,5.690,12.48,256,0.950,bicubic
+lambda_resnet26t,79.098,20.902,94.588,5.412,10.96,256,0.940,bicubic
+coat_lite_mini,79.096,20.904,94.604,5.396,11.01,224,0.900,bicubic
+gluon_resnet50_v1d,79.076,20.924,94.472,5.528,25.58,224,0.875,bicubic
+legacy_seresnext50_32x4d,79.068,20.932,94.434,5.566,27.56,224,0.875,bilinear
 regnetx_064,79.066,20.934,94.458,5.542,26.21,224,0.875,bicubic
-xception,79.048,20.952,94.392,5.608,22.86,299,0.897,bicubic
-resnet32ts,79.014,20.986,94.356,5.644,17.96,256,0.900,bicubic
-res2net50_26w_8s,78.976,21.024,94.294,5.706,48.40,224,0.875,bilinear
+xception,79.050,20.950,94.392,5.608,22.86,299,0.897,bicubic
+resnet32ts,79.012,20.988,94.358,5.642,17.96,256,0.900,bicubic
+res2net50_26w_8s,78.980,21.020,94.294,5.706,48.40,224,0.875,bilinear
 mixnet_l,78.976,21.024,94.178,5.822,7.33,224,0.875,bicubic
 lambda_resnet26rpt_256,78.968,21.032,94.428,5.572,10.99,256,0.940,bicubic
 hrnet_w40,78.916,21.084,94.474,5.526,57.56,224,0.875,bilinear
-hrnet_w44,78.900,21.100,94.372,5.628,67.06,224,0.875,bilinear
-wide_resnet101_2,78.852,21.148,94.288,5.712,126.89,224,0.875,bilinear
-tf_efficientnet_b1,78.820,21.180,94.196,5.804,7.79,240,0.882,bicubic
-gluon_inception_v3,78.806,21.194,94.372,5.628,23.83,299,0.875,bicubic
+hrnet_w44,78.900,21.100,94.374,5.626,67.06,224,0.875,bilinear
+wide_resnet101_2,78.854,21.146,94.290,5.710,126.89,224,0.875,bilinear
+tf_efficientnet_b1,78.828,21.172,94.198,5.802,7.79,240,0.882,bicubic
+gluon_inception_v3,78.804,21.196,94.370,5.630,23.83,299,0.875,bicubic
+efficientnet_b1,78.796,21.204,94.342,5.658,7.79,256,1.000,bicubic
 repvgg_b2,78.792,21.208,94.418,5.582,89.02,224,0.875,bilinear
-efficientnet_b1,78.790,21.210,94.342,5.658,7.79,256,1.000,bicubic
 tf_mixnet_l,78.774,21.226,93.996,6.004,7.33,224,0.875,bicubic
-gluon_resnet50_v1s,78.708,21.292,94.240,5.760,25.68,224,0.875,bicubic
-dla169,78.694,21.306,94.336,5.664,53.39,224,0.875,bilinear
-tf_efficientnet_b0_ns,78.658,21.342,94.376,5.624,5.29,224,0.875,bicubic
-legacy_seresnet152,78.656,21.344,94.368,5.632,66.82,224,0.875,bilinear
-xcit_tiny_12_p16_224_dist,78.574,21.426,94.198,5.802,6.72,224,1.000,bicubic
+gluon_resnet50_v1s,78.712,21.288,94.240,5.760,25.68,224,0.875,bicubic
+dla169,78.692,21.308,94.340,5.660,53.39,224,0.875,bilinear
+tf_efficientnet_b0_ns,78.658,21.342,94.378,5.622,5.29,224,0.875,bicubic
+legacy_seresnet152,78.652,21.348,94.370,5.630,66.82,224,0.875,bilinear
+xcit_tiny_12_p16_224_dist,78.576,21.424,94.196,5.804,6.72,224,1.000,bicubic
 res2net50_26w_6s,78.566,21.434,94.134,5.866,37.05,224,0.875,bilinear
-dla102x,78.514,21.486,94.224,5.776,26.31,224,0.875,bilinear
-xception41,78.508,21.492,94.280,5.720,26.97,299,0.903,bicubic
-levit_128,78.486,21.514,94.006,5.994,9.21,224,0.900,bicubic
-resnest26d,78.484,21.516,94.294,5.706,17.07,224,0.875,bilinear
+dla102x,78.516,21.484,94.226,5.774,26.31,224,0.875,bilinear
+xception41,78.510,21.490,94.278,5.722,26.97,299,0.903,bicubic
+levit_128,78.492,21.508,94.006,5.994,9.21,224,0.900,bicubic
 regnetx_040,78.482,21.518,94.244,5.756,22.12,224,0.875,bicubic
+resnest26d,78.476,21.524,94.292,5.708,17.07,224,0.875,bilinear
 dla60_res2net,78.462,21.538,94.206,5.794,20.85,224,0.875,bilinear
-hrnet_w32,78.446,21.554,94.188,5.812,41.23,224,0.875,bilinear
-dla60_res2next,78.442,21.558,94.150,5.850,17.03,224,0.875,bilinear
-vit_tiny_patch16_384,78.432,21.568,94.542,5.458,5.79,384,1.000,bicubic
-coat_tiny,78.428,21.572,94.038,5.962,5.50,224,0.900,bicubic
-selecsls60b,78.412,21.588,94.170,5.830,32.77,224,0.875,bicubic
-legacy_seresnet101,78.388,21.612,94.266,5.734,49.33,224,0.875,bilinear
+hrnet_w32,78.448,21.552,94.194,5.806,41.23,224,0.875,bilinear
+dla60_res2next,78.440,21.560,94.150,5.850,17.03,224,0.875,bilinear
+vit_tiny_patch16_384,78.434,21.566,94.542,5.458,5.79,384,1.000,bicubic
+coat_tiny,78.430,21.570,94.040,5.960,5.50,224,0.900,bicubic
+selecsls60b,78.412,21.588,94.174,5.826,32.77,224,0.875,bicubic
+legacy_seresnet101,78.388,21.612,94.264,5.736,49.33,224,0.875,bilinear
 cait_xxs24_224,78.384,21.616,94.310,5.690,11.96,224,1.000,bicubic
 repvgg_b1,78.368,21.632,94.096,5.904,57.42,224,0.875,bilinear
-tf_efficientnetv2_b0,78.360,21.640,94.024,5.976,7.14,224,0.875,bicubic
-tv_resnet152,78.320,21.680,94.036,5.964,60.19,224,0.875,bilinear
+tf_efficientnetv2_b0,78.360,21.640,94.020,5.980,7.14,224,0.875,bicubic
+tv_resnet152,78.316,21.684,94.034,5.966,60.19,224,0.875,bilinear
+mobilevit_s,78.312,21.688,94.152,5.848,5.58,256,0.900,bicubic
+res2next50,78.252,21.748,93.886,6.114,24.67,224,0.875,bilinear
 bat_resnext26ts,78.250,21.750,94.098,5.902,10.73,256,0.900,bicubic
-res2next50,78.250,21.750,93.886,6.114,24.67,224,0.875,bilinear
-dla60x,78.246,21.754,94.020,5.980,17.35,224,0.875,bilinear
-efficientnet_b1_pruned,78.240,21.760,93.832,6.168,6.33,240,0.882,bicubic
+dla60x,78.244,21.756,94.018,5.982,17.35,224,0.875,bilinear
+efficientnet_b1_pruned,78.240,21.760,93.834,6.166,6.33,240,0.882,bicubic
 hrnet_w30,78.198,21.802,94.224,5.776,37.71,224,0.875,bilinear
-pit_xs_224,78.188,21.812,94.166,5.834,10.62,224,0.900,bicubic
+pit_xs_224,78.186,21.814,94.164,5.836,10.62,224,0.900,bicubic
 regnetx_032,78.172,21.828,94.088,5.912,15.30,224,0.875,bicubic
-res2net50_14w_8s,78.144,21.856,93.850,6.150,25.06,224,0.875,bilinear
-tf_efficientnet_em,78.132,21.868,94.046,5.954,6.90,240,0.882,bicubic
-hardcorenas_f,78.098,21.902,93.804,6.196,8.20,224,0.875,bilinear
-efficientnet_es,78.060,21.940,93.938,6.062,5.44,224,0.875,bicubic
-gmixer_24_224,78.038,21.962,93.670,6.330,24.72,224,0.875,bicubic
-dla102,78.028,21.972,93.950,6.050,33.27,224,0.875,bilinear
-gluon_resnet50_v1c,78.010,21.990,93.988,6.012,25.58,224,0.875,bicubic
-seresnext26t_32x4d,77.976,22.024,93.744,6.256,16.81,224,0.875,bicubic
-selecsls60,77.974,22.026,93.832,6.168,30.67,224,0.875,bicubic
-res2net50_26w_4s,77.956,22.044,93.852,6.148,25.70,224,0.875,bilinear
+res2net50_14w_8s,78.144,21.856,93.848,6.152,25.06,224,0.875,bilinear
+tf_efficientnet_em,78.132,21.868,94.044,5.956,6.90,240,0.882,bicubic
+hardcorenas_f,78.098,21.902,93.802,6.198,8.20,224,0.875,bilinear
+efficientnet_es,78.056,21.944,93.936,6.064,5.44,224,0.875,bicubic
+gmixer_24_224,78.036,21.964,93.670,6.330,24.72,224,0.875,bicubic
+dla102,78.030,21.970,93.948,6.052,33.27,224,0.875,bilinear
+gluon_resnet50_v1c,78.012,21.988,93.990,6.010,25.58,224,0.875,bicubic
+seresnext26t_32x4d,77.976,22.024,93.746,6.254,16.81,224,0.875,bicubic
+selecsls60,77.976,22.024,93.830,6.170,30.67,224,0.875,bicubic
+res2net50_26w_4s,77.960,22.040,93.852,6.148,25.70,224,0.875,bilinear
 resmlp_12_distilled_224,77.942,22.058,93.558,6.442,15.35,224,0.875,bicubic
-mobilenetv3_large_100_miil,77.918,22.082,92.906,7.094,5.48,224,0.875,bilinear
-tf_efficientnet_cc_b0_8e,77.908,22.092,93.656,6.344,24.01,224,0.875,bicubic
-resnet26t,77.864,22.136,93.846,6.154,16.01,256,0.940,bicubic
+mobilenetv3_large_100_miil,77.916,22.084,92.906,7.094,5.48,224,0.875,bilinear
+tf_efficientnet_cc_b0_8e,77.906,22.094,93.656,6.344,24.01,224,0.875,bicubic
+resnet26t,77.862,22.138,93.844,6.156,16.01,256,0.940,bicubic
 regnety_016,77.860,22.140,93.722,6.278,11.20,224,0.875,bicubic
 rexnet_100,77.858,22.142,93.870,6.130,4.80,224,0.875,bicubic
-tf_inception_v3,77.854,22.146,93.638,6.362,23.83,299,0.875,bicubic
+tf_inception_v3,77.856,22.144,93.640,6.360,23.83,299,0.875,bicubic
 seresnext26ts,77.852,22.148,93.790,6.210,10.39,256,0.900,bicubic
-gcresnext26ts,77.820,22.180,93.832,6.168,10.48,256,0.900,bicubic
+gcresnext26ts,77.820,22.180,93.830,6.170,10.48,256,0.900,bicubic
 xcit_nano_12_p8_384_dist,77.818,22.182,94.044,5.956,3.05,384,1.000,bicubic
-hardcorenas_e,77.792,22.208,93.698,6.302,8.07,224,0.875,bilinear
-efficientnet_b0,77.694,22.306,93.534,6.466,5.29,224,0.875,bicubic
-tinynet_a,77.652,22.348,93.538,6.462,6.19,192,0.875,bicubic
-legacy_seresnet50,77.632,22.368,93.752,6.248,28.09,224,0.875,bilinear
-tv_resnext50_32x4d,77.618,22.382,93.696,6.304,25.03,224,0.875,bilinear
-seresnext26d_32x4d,77.602,22.398,93.608,6.392,16.81,224,0.875,bicubic
+hardcorenas_e,77.794,22.206,93.696,6.304,8.07,224,0.875,bilinear
+efficientnet_b0,77.690,22.310,93.530,6.470,5.29,224,0.875,bicubic
+tinynet_a,77.650,22.350,93.536,6.464,6.19,192,0.875,bicubic
+legacy_seresnet50,77.630,22.370,93.750,6.250,28.09,224,0.875,bilinear
+tv_resnext50_32x4d,77.616,22.384,93.700,6.300,25.03,224,0.875,bilinear
+seresnext26d_32x4d,77.604,22.396,93.608,6.392,16.81,224,0.875,bicubic
 repvgg_b1g4,77.586,22.414,93.830,6.170,39.97,224,0.875,bilinear
-adv_inception_v3,77.582,22.418,93.738,6.262,23.83,299,0.875,bicubic
+adv_inception_v3,77.582,22.418,93.736,6.264,23.83,299,0.875,bicubic
 gluon_resnet50_v1b,77.580,22.420,93.722,6.278,25.56,224,0.875,bicubic
-res2net50_48w_2s,77.522,22.478,93.552,6.448,25.29,224,0.875,bilinear
-coat_lite_tiny,77.510,22.490,93.912,6.088,5.72,224,0.900,bicubic
+res2net50_48w_2s,77.520,22.480,93.552,6.448,25.29,224,0.875,bilinear
+coat_lite_tiny,77.514,22.486,93.916,6.084,5.72,224,0.900,bicubic
 tf_efficientnet_lite2,77.468,22.532,93.756,6.244,6.09,260,0.890,bicubic
-eca_resnext26ts,77.452,22.548,93.566,6.434,10.30,256,0.900,bicubic
-inception_v3,77.438,22.562,93.476,6.524,23.83,299,0.875,bicubic
-hardcorenas_d,77.432,22.568,93.484,6.516,7.50,224,0.875,bilinear
+eca_resnext26ts,77.454,22.546,93.566,6.434,10.30,256,0.900,bicubic
+inception_v3,77.438,22.562,93.474,6.526,23.83,299,0.875,bicubic
+hardcorenas_d,77.430,22.570,93.482,6.518,7.50,224,0.875,bilinear
 tv_resnet101,77.378,22.622,93.542,6.458,44.55,224,0.875,bilinear
-densenet161,77.352,22.648,93.638,6.362,28.68,224,0.875,bicubic
-tf_efficientnet_cc_b0_4e,77.304,22.696,93.334,6.666,13.31,224,0.875,bicubic
-mobilenetv2_120d,77.296,22.704,93.496,6.504,5.83,224,0.875,bicubic
+densenet161,77.354,22.646,93.636,6.364,28.68,224,0.875,bicubic
+tf_efficientnet_cc_b0_4e,77.302,22.698,93.334,6.666,13.31,224,0.875,bicubic
+mobilenetv2_120d,77.294,22.706,93.496,6.504,5.83,224,0.875,bicubic
 densenet201,77.290,22.710,93.478,6.522,20.01,224,0.875,bicubic
 mixnet_m,77.264,22.736,93.424,6.576,5.01,224,0.875,bicubic
-selecsls42b,77.174,22.826,93.394,6.606,32.46,224,0.875,bicubic
-xcit_tiny_12_p16_224,77.126,22.874,93.714,6.286,6.72,224,1.000,bicubic
+poolformer_s12,77.236,22.764,93.504,6.496,11.92,224,0.900,bicubic
+selecsls42b,77.174,22.826,93.392,6.608,32.46,224,0.875,bicubic
+xcit_tiny_12_p16_224,77.126,22.874,93.716,6.284,6.72,224,1.000,bicubic
 resnet34d,77.114,22.886,93.380,6.620,21.82,224,0.875,bicubic
-legacy_seresnext26_32x4d,77.102,22.898,93.316,6.684,16.79,224,0.875,bicubic
-tf_efficientnet_b0_ap,77.090,22.910,93.258,6.742,5.29,224,0.875,bicubic
-hardcorenas_c,77.048,22.952,93.156,6.844,5.52,224,0.875,bilinear
-dla60,77.036,22.964,93.318,6.682,22.04,224,0.875,bilinear
-crossvit_9_dagger_240,76.978,23.022,93.612,6.388,8.78,240,0.875,bicubic
+legacy_seresnext26_32x4d,77.106,22.894,93.318,6.682,16.79,224,0.875,bicubic
+tf_efficientnet_b0_ap,77.094,22.906,93.256,6.744,5.29,224,0.875,bicubic
+hardcorenas_c,77.050,22.950,93.158,6.842,5.52,224,0.875,bilinear
+dla60,77.030,22.970,93.320,6.680,22.04,224,0.875,bilinear
+crossvit_9_dagger_240,76.982,23.018,93.610,6.390,8.78,240,0.875,bicubic
 regnetx_016,76.950,23.050,93.422,6.578,9.19,224,0.875,bicubic
 convmixer_1024_20_ks9_p14,76.942,23.058,93.356,6.644,24.38,224,0.960,bicubic
-tf_mixnet_m,76.942,23.058,93.152,6.848,5.01,224,0.875,bicubic
-gernet_s,76.912,23.088,93.134,6.866,8.17,224,0.875,bilinear
+tf_mixnet_m,76.942,23.058,93.154,6.846,5.01,224,0.875,bicubic
+gernet_s,76.908,23.092,93.132,6.868,8.17,224,0.875,bilinear
 skresnet34,76.904,23.096,93.320,6.680,22.28,224,0.875,bicubic
-tf_efficientnet_b0,76.846,23.154,93.226,6.774,5.29,224,0.875,bicubic
-ese_vovnet19b_dw,76.800,23.200,93.272,6.728,6.54,224,0.875,bicubic
+tf_efficientnet_b0,76.844,23.156,93.228,6.772,5.29,224,0.875,bicubic
+ese_vovnet19b_dw,76.802,23.198,93.272,6.728,6.54,224,0.875,bicubic
 resnext26ts,76.780,23.220,93.128,6.872,10.30,256,0.900,bicubic
-hrnet_w18,76.752,23.248,93.442,6.558,21.30,224,0.875,bilinear
-resnet26d,76.700,23.300,93.146,6.854,16.01,224,0.875,bicubic
+hrnet_w18,76.754,23.246,93.440,6.560,21.30,224,0.875,bilinear
+resnet26d,76.704,23.296,93.150,6.850,16.01,224,0.875,bicubic
 resmlp_12_224,76.656,23.344,93.180,6.820,15.35,224,0.875,bicubic
-tf_efficientnet_lite1,76.636,23.364,93.222,6.778,5.42,240,0.882,bicubic
-mixer_b16_224,76.610,23.390,92.230,7.770,59.88,224,0.875,bicubic
-tf_efficientnet_es,76.598,23.402,93.204,6.796,5.44,224,0.875,bicubic
-densenetblur121d,76.582,23.418,93.188,6.812,8.00,224,0.875,bicubic
-hardcorenas_b,76.532,23.468,92.754,7.246,5.18,224,0.875,bilinear
-levit_128s,76.520,23.480,92.866,7.134,7.78,224,0.900,bicubic
-mobilenetv2_140,76.508,23.492,92.998,7.002,6.11,224,0.875,bicubic
-repvgg_a2,76.460,23.540,93.006,6.994,28.21,224,0.875,bilinear
-xcit_nano_12_p8_224_dist,76.320,23.680,93.086,6.914,3.05,224,1.000,bicubic
-regnety_008,76.312,23.688,93.070,6.930,6.26,224,0.875,bicubic
+tf_efficientnet_lite1,76.640,23.360,93.220,6.780,5.42,240,0.882,bicubic
+mixer_b16_224,76.612,23.388,92.228,7.772,59.88,224,0.875,bicubic
+tf_efficientnet_es,76.596,23.404,93.204,6.796,5.44,224,0.875,bicubic
+densenetblur121d,76.584,23.416,93.192,6.808,8.00,224,0.875,bicubic
+hardcorenas_b,76.536,23.464,92.754,7.246,5.18,224,0.875,bilinear
+mobilenetv2_140,76.522,23.478,92.996,7.004,6.11,224,0.875,bicubic
+levit_128s,76.520,23.480,92.872,7.128,7.78,224,0.900,bicubic
+repvgg_a2,76.458,23.542,93.010,6.990,28.21,224,0.875,bilinear
+xcit_nano_12_p8_224_dist,76.320,23.680,93.088,6.912,3.05,224,1.000,bicubic
+regnety_008,76.310,23.690,93.070,6.930,6.26,224,0.875,bicubic
 dpn68,76.306,23.694,92.974,7.026,12.61,224,0.875,bicubic
-tv_resnet50,76.138,23.862,92.862,7.138,25.56,224,0.875,bilinear
-vit_small_patch32_224,75.998,24.002,93.272,6.728,22.88,224,0.900,bicubic
+tv_resnet50,76.134,23.866,92.868,7.132,25.56,224,0.875,bilinear
 mixnet_s,75.992,24.008,92.798,7.202,4.13,224,0.875,bicubic
-vit_tiny_r_s16_p8_384,75.956,24.044,93.262,6.738,6.36,384,1.000,bicubic
-hardcorenas_a,75.922,24.078,92.516,7.484,5.26,224,0.875,bilinear
-densenet169,75.900,24.100,93.030,6.970,14.15,224,0.875,bicubic
-mobilenetv3_large_100,75.762,24.238,92.540,7.460,5.48,224,0.875,bicubic
+vit_small_patch32_224,75.986,24.014,93.270,6.730,22.88,224,0.900,bicubic
+vit_tiny_r_s16_p8_384,75.954,24.046,93.264,6.736,6.36,384,1.000,bicubic
+hardcorenas_a,75.920,24.080,92.520,7.480,5.26,224,0.875,bilinear
+densenet169,75.898,24.102,93.030,6.970,14.15,224,0.875,bicubic
+mobilenetv3_large_100,75.766,24.234,92.544,7.456,5.48,224,0.875,bicubic
 tf_mixnet_s,75.650,24.350,92.628,7.372,4.13,224,0.875,bicubic
-mobilenetv3_rw,75.630,24.370,92.708,7.292,5.48,224,0.875,bicubic
-densenet121,75.582,24.418,92.652,7.348,7.98,224,0.875,bicubic
+mobilenetv3_rw,75.632,24.368,92.708,7.292,5.48,224,0.875,bicubic
+densenet121,75.584,24.416,92.652,7.348,7.98,224,0.875,bicubic
 tf_mobilenetv3_large_100,75.518,24.482,92.604,7.396,5.48,224,0.875,bilinear
-resnest14d,75.506,24.494,92.520,7.480,10.61,224,0.875,bilinear
+resnest14d,75.504,24.496,92.520,7.480,10.61,224,0.875,bilinear
 efficientnet_lite0,75.476,24.524,92.512,7.488,4.65,224,0.875,bicubic
-vit_tiny_patch16_224,75.456,24.544,92.846,7.154,5.72,224,0.900,bicubic
+vit_tiny_patch16_224,75.462,24.538,92.844,7.156,5.72,224,0.900,bicubic
+xcit_nano_12_p16_384_dist,75.456,24.544,92.690,7.310,3.05,384,1.000,bicubic
 semnasnet_100,75.450,24.550,92.600,7.400,3.89,224,0.875,bicubic
-xcit_nano_12_p16_384_dist,75.450,24.550,92.692,7.308,3.05,384,1.000,bicubic
-resnet26,75.302,24.698,92.576,7.424,16.00,224,0.875,bicubic
-regnety_006,75.246,24.754,92.534,7.466,6.06,224,0.875,bicubic
-repvgg_b0,75.156,24.844,92.418,7.582,15.82,224,0.875,bilinear
-fbnetc_100,75.126,24.874,92.382,7.618,5.57,224,0.875,bilinear
+resnet26,75.300,24.700,92.578,7.422,16.00,224,0.875,bicubic
+regnety_006,75.250,24.750,92.534,7.466,6.06,224,0.875,bicubic
+repvgg_b0,75.160,24.840,92.418,7.582,15.82,224,0.875,bilinear
+fbnetc_100,75.130,24.870,92.386,7.614,5.57,224,0.875,bilinear
 hrnet_w18_small_v2,75.118,24.882,92.416,7.584,15.60,224,0.875,bilinear
 resnet34,75.114,24.886,92.284,7.716,21.80,224,0.875,bilinear
-mobilenetv2_110d,75.040,24.960,92.184,7.816,4.52,224,0.875,bicubic
-regnetx_008,75.036,24.964,92.340,7.660,7.26,224,0.875,bicubic
-efficientnet_es_pruned,74.998,25.002,92.438,7.562,5.44,224,0.875,bicubic
-tinynet_b,74.980,25.020,92.186,7.814,3.73,188,0.875,bicubic
-tf_efficientnet_lite0,74.832,25.168,92.176,7.824,4.65,224,0.875,bicubic
-legacy_seresnet34,74.810,25.190,92.126,7.874,21.96,224,0.875,bilinear
-tv_densenet121,74.744,25.256,92.150,7.850,7.98,224,0.875,bicubic
-mnasnet_100,74.654,25.346,92.110,7.890,4.38,224,0.875,bicubic
+mobilenetv2_110d,75.038,24.962,92.184,7.816,4.52,224,0.875,bicubic
+regnetx_008,75.034,24.966,92.340,7.660,7.26,224,0.875,bicubic
+efficientnet_es_pruned,74.996,25.004,92.440,7.560,5.44,224,0.875,bicubic
+tinynet_b,74.976,25.024,92.184,7.816,3.73,188,0.875,bicubic
+tf_efficientnet_lite0,74.832,25.168,92.174,7.826,4.65,224,0.875,bicubic
+legacy_seresnet34,74.808,25.192,92.126,7.874,21.96,224,0.875,bilinear
+tv_densenet121,74.744,25.256,92.152,7.848,7.98,224,0.875,bicubic
+mnasnet_100,74.658,25.342,92.112,7.888,4.38,224,0.875,bicubic
+mobilevit_xs,74.644,25.356,92.356,7.644,2.32,256,0.900,bicubic
 dla34,74.620,25.380,92.072,7.928,15.74,224,0.875,bilinear
-gluon_resnet34_v1b,74.592,25.408,91.988,8.012,21.80,224,0.875,bicubic
-pit_ti_distilled_224,74.532,25.468,92.098,7.902,5.10,224,0.900,bicubic
-deit_tiny_distilled_patch16_224,74.512,25.488,91.888,8.112,5.91,224,0.900,bicubic
+gluon_resnet34_v1b,74.588,25.412,91.988,8.012,21.80,224,0.875,bicubic
+pit_ti_distilled_224,74.532,25.468,92.096,7.904,5.10,224,0.900,bicubic
+deit_tiny_distilled_patch16_224,74.512,25.488,91.886,8.114,5.91,224,0.900,bicubic
 vgg19_bn,74.214,25.786,91.848,8.152,143.68,224,0.875,bilinear
-spnasnet_100,74.086,25.914,91.818,8.182,4.42,224,0.875,bilinear
+spnasnet_100,74.084,25.916,91.820,8.180,4.42,224,0.875,bilinear
 regnety_004,74.024,25.976,91.754,8.246,4.34,224,0.875,bicubic
-ghostnet_100,73.978,26.022,91.458,8.542,5.18,224,0.875,bilinear
-crossvit_9_240,73.970,26.030,91.964,8.036,8.55,240,0.875,bicubic
-xcit_nano_12_p8_224,73.918,26.082,92.170,7.830,3.05,224,1.000,bicubic
-regnetx_006,73.852,26.148,91.674,8.326,6.20,224,0.875,bicubic
-vit_base_patch32_224_sam,73.692,26.308,91.012,8.988,88.22,224,0.900,bicubic
-tf_mobilenetv3_large_075,73.440,26.560,91.348,8.652,3.99,224,0.875,bilinear
+ghostnet_100,73.974,26.026,91.460,8.540,5.18,224,0.875,bilinear
+crossvit_9_240,73.960,26.040,91.968,8.032,8.55,240,0.875,bicubic
+xcit_nano_12_p8_224,73.910,26.090,92.168,7.832,3.05,224,1.000,bicubic
+regnetx_006,73.860,26.140,91.672,8.328,6.20,224,0.875,bicubic
+vit_base_patch32_224_sam,73.694,26.306,91.010,8.990,88.22,224,0.900,bicubic
+tf_mobilenetv3_large_075,73.436,26.564,91.344,8.656,3.99,224,0.875,bilinear
 vgg16_bn,73.350,26.650,91.504,8.496,138.37,224,0.875,bilinear
-crossvit_tiny_240,73.336,26.664,91.916,8.084,7.01,240,0.875,bicubic
-tv_resnet34,73.308,26.692,91.424,8.576,21.80,224,0.875,bilinear
-swsl_resnet18,73.274,26.726,91.738,8.262,11.69,224,0.875,bilinear
-convit_tiny,73.120,26.880,91.720,8.280,5.71,224,0.875,bicubic
+crossvit_tiny_240,73.332,26.668,91.914,8.086,7.01,240,0.875,bicubic
+tv_resnet34,73.306,26.694,91.424,8.576,21.80,224,0.875,bilinear
+swsl_resnet18,73.276,26.724,91.736,8.264,11.69,224,0.875,bilinear
+convit_tiny,73.114,26.886,91.714,8.286,5.71,224,0.875,bicubic
 skresnet18,73.036,26.964,91.168,8.832,11.96,224,0.875,bicubic
-semnasnet_075,72.974,27.026,91.136,8.864,2.91,224,0.875,bicubic
-mobilenetv2_100,72.966,27.034,91.018,8.982,3.50,224,0.875,bicubic
-pit_ti_224,72.910,27.090,91.406,8.594,4.85,224,0.900,bicubic
-ssl_resnet18,72.606,27.394,91.424,8.576,11.69,224,0.875,bilinear
-regnetx_004,72.390,27.610,90.830,9.170,5.16,224,0.875,bicubic
+semnasnet_075,72.972,27.028,91.136,8.864,2.91,224,0.875,bicubic
+mobilenetv2_100,72.970,27.030,91.020,8.980,3.50,224,0.875,bicubic
+pit_ti_224,72.912,27.088,91.406,8.594,4.85,224,0.900,bicubic
+ssl_resnet18,72.608,27.392,91.424,8.576,11.69,224,0.875,bilinear
+regnetx_004,72.392,27.608,90.832,9.168,5.16,224,0.875,bicubic
 vgg19,72.366,27.634,90.870,9.130,143.67,224,0.875,bilinear
-hrnet_w18_small,72.340,27.660,90.678,9.322,13.19,224,0.875,bilinear
-xcit_nano_12_p16_224_dist,72.302,27.698,90.862,9.138,3.05,224,1.000,bicubic
+hrnet_w18_small,72.338,27.662,90.680,9.320,13.19,224,0.875,bilinear
+xcit_nano_12_p16_224_dist,72.302,27.698,90.858,9.142,3.05,224,1.000,bicubic
 resnet18d,72.250,27.750,90.688,9.312,11.71,224,0.875,bicubic
 tf_mobilenetv3_large_minimal_100,72.250,27.750,90.630,9.370,3.92,224,0.875,bilinear
-deit_tiny_patch16_224,72.166,27.834,91.120,8.880,5.72,224,0.900,bicubic
-lcnet_100,72.108,27.892,90.378,9.622,2.95,224,0.875,bicubic
-mixer_l16_224,72.048,27.952,87.664,12.336,208.20,224,0.875,bicubic
-vit_tiny_r_s16_p8_224,71.788,28.212,90.822,9.178,6.34,224,0.900,bicubic
+deit_tiny_patch16_224,72.172,27.828,91.114,8.886,5.72,224,0.900,bicubic
+lcnet_100,72.104,27.896,90.376,9.624,2.95,224,0.875,bicubic
+mixer_l16_224,72.054,27.946,87.662,12.338,208.20,224,0.875,bicubic
+vit_tiny_r_s16_p8_224,71.792,28.208,90.822,9.178,6.34,224,0.900,bicubic
 legacy_seresnet18,71.742,28.258,90.332,9.668,11.78,224,0.875,bicubic
 vgg13_bn,71.594,28.406,90.376,9.624,133.05,224,0.875,bilinear
 vgg16,71.590,28.410,90.382,9.618,138.36,224,0.875,bilinear
 tinynet_c,71.228,28.772,89.750,10.250,2.46,184,0.875,bicubic
-gluon_resnet18_v1b,70.838,29.162,89.762,10.238,11.69,224,0.875,bicubic
+gluon_resnet18_v1b,70.834,29.166,89.762,10.238,11.69,224,0.875,bicubic
 vgg11_bn,70.360,29.640,89.802,10.198,132.87,224,0.875,bilinear
-regnety_002,70.254,29.746,89.540,10.460,3.16,224,0.875,bicubic
-xcit_nano_12_p16_224,69.964,30.036,89.760,10.240,3.05,224,1.000,bicubic
+regnety_002,70.254,29.746,89.532,10.468,3.16,224,0.875,bicubic
+xcit_nano_12_p16_224,69.954,30.046,89.754,10.246,3.05,224,1.000,bicubic
 vgg13,69.926,30.074,89.246,10.754,133.05,224,0.875,bilinear
 resnet18,69.744,30.256,89.082,10.918,11.69,224,0.875,bilinear
 vgg11,69.028,30.972,88.626,11.374,132.86,224,0.875,bilinear
-lcnet_075,68.818,31.182,88.374,11.626,2.36,224,0.875,bicubic
-regnetx_002,68.750,31.250,88.556,11.444,2.68,224,0.875,bicubic
+mobilevit_xxs,68.920,31.080,88.944,11.056,1.27,256,0.900,bicubic
+lcnet_075,68.816,31.184,88.370,11.630,2.36,224,0.875,bicubic
+regnetx_002,68.756,31.244,88.556,11.444,2.68,224,0.875,bicubic
 tf_mobilenetv3_small_100,67.924,32.076,87.664,12.336,2.54,224,0.875,bilinear
 dla60x_c,67.892,32.108,88.426,11.574,1.32,224,0.875,bilinear
+mobilenetv3_small_100,67.656,32.344,87.634,12.366,2.54,224,0.875,bicubic
 tinynet_d,66.958,33.042,87.064,12.936,2.34,152,0.875,bicubic
+mnasnet_small,66.206,33.794,86.508,13.492,2.03,224,0.875,bicubic
 dla46x_c,65.970,34.030,86.980,13.020,1.07,224,0.875,bilinear
 mobilenetv2_050,65.942,34.058,86.082,13.918,1.97,224,0.875,bicubic
 tf_mobilenetv3_small_075,65.714,34.286,86.134,13.866,2.04,224,0.875,bilinear
-mnasnet_small,65.596,34.404,86.188,13.812,2.03,224,0.875,bicubic
+mobilenetv3_small_075,65.242,34.758,85.438,14.562,2.04,224,0.875,bicubic
 dla46_c,64.866,35.134,86.294,13.706,1.30,224,0.875,bilinear
 lcnet_050,63.100,36.900,84.382,15.618,1.88,224,0.875,bicubic
 tf_mobilenetv3_small_minimal_100,62.908,37.092,84.234,15.766,2.04,224,0.875,bilinear
-tinynet_e,59.856,40.144,81.766,18.234,2.04,106,0.875,bicubic
+tinynet_e,59.856,40.144,81.764,18.236,2.04,106,0.875,bicubic
+mobilenetv3_small_050,57.890,42.110,80.194,19.806,1.59,224,0.875,bicubic

timm/models/fx_features.py

@@ -15,25 +15,17 @@ except ImportError:
     has_fx_feature_extraction = False
 
 # Layers we went to treat as leaf modules
-from .layers import Conv2dSame, ScaledStdConv2dSame, BatchNormAct2d, BlurPool2d, CondConv2d, StdConv2dSame, DropPath
-from .layers import EvoNorm2dB0, EvoNorm2dB1, EvoNorm2dB2
-from .layers import EvoNorm2dS0, EvoNorm2dS0a, EvoNorm2dS1, EvoNorm2dS1a, EvoNorm2dS2, EvoNorm2dS2a
+from .layers import Conv2dSame, ScaledStdConv2dSame, CondConv2d, StdConv2dSame
 from .layers.non_local_attn import BilinearAttnTransform
 from .layers.pool2d_same import MaxPool2dSame, AvgPool2dSame
 
 # NOTE: By default, any modules from timm.models.layers that we want to treat as leaf modules go here
 # BUT modules from timm.models should use the registration mechanism below
 _leaf_modules = {
-    BatchNormAct2d,  # reason: flow control for jit scripting
     BilinearAttnTransform,  # reason: flow control t <= 1
-    BlurPool2d,  # reason: TypeError: F.conv2d received Proxy in groups=x.shape[1]
     # Reason: get_same_padding has a max which raises a control flow error
     Conv2dSame, MaxPool2dSame, ScaledStdConv2dSame, StdConv2dSame, AvgPool2dSame,
     CondConv2d,  # reason: TypeError: F.conv2d received Proxy in groups=self.groups * B (because B = x.shape[0])
-    DropPath,  # reason: TypeError: rand recieved Proxy in `size` argument
-    EvoNorm2dB0, EvoNorm2dB1, EvoNorm2dB2,  # to(dtype) use that causes tracing failure (on scripted models only?)
-    EvoNorm2dS0, EvoNorm2dS0a, EvoNorm2dS1, EvoNorm2dS1a, EvoNorm2dS2, EvoNorm2dS2a,
-
 }
 
 try:

timm/models/helpers.py

@@ -172,11 +172,6 @@ def load_custom_pretrained(
         pretrained_cfg (dict): Default pretrained model cfg
         load_fn: An external stand alone fn that loads weights into provided model, otherwise a fn named
             'laod_pretrained' on the model will be called if it exists
-        progress (bool, optional): whether or not to display a progress bar to stderr. Default: False
-        check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
-            ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
-            digits of the SHA256 hash of the contents of the file. The hash is used to
-            ensure unique names and to verify the contents of the file. Default: False
     """
     pretrained_cfg = pretrained_cfg or getattr(model, 'pretrained_cfg', None) or {}
     load_from, pretrained_loc = _resolve_pretrained_source(pretrained_cfg)

timm/models/layers/blur_pool.py

@@ -39,4 +39,4 @@ class BlurPool2d(nn.Module):
 
     def forward(self, x: torch.Tensor) -> torch.Tensor:
         x = F.pad(x, self.padding, 'reflect')
-        return F.conv2d(x, self.filt, stride=self.stride, groups=x.shape[1])
+        return F.conv2d(x, self.filt, stride=self.stride, groups=self.channels)

timm/models/layers/drop.py

@@ -107,13 +107,13 @@ class DropBlock2d(nn.Module):
 
     def __init__(
             self,
-            drop_prob=0.1,
-            block_size=7,
-            gamma_scale=1.0,
-            with_noise=False,
-            inplace=False,
-            batchwise=False,
-            fast=True):
+            drop_prob: float = 0.1,
+            block_size: int = 7,
+            gamma_scale: float = 1.0,
+            with_noise: bool = False,
+            inplace: bool = False,
+            batchwise: bool = False,
+            fast: bool = True):
         super(DropBlock2d, self).__init__()
         self.drop_prob = drop_prob
         self.gamma_scale = gamma_scale
@@ -157,7 +157,7 @@ def drop_path(x, drop_prob: float = 0., training: bool = False, scale_by_keep: b
 class DropPath(nn.Module):
     """Drop paths (Stochastic Depth) per sample  (when applied in main path of residual blocks).
     """
-    def __init__(self, drop_prob=None, scale_by_keep=True):
+    def __init__(self, drop_prob: float = 0., scale_by_keep: bool = True):
         super(DropPath, self).__init__()
         self.drop_prob = drop_prob
         self.scale_by_keep = scale_by_keep

timm/models/layers/evo_norm.py

@@ -92,7 +92,7 @@ def group_rms(x, groups: int = 32, eps: float = 1e-5):
     _assert(C % groups == 0, '')
     x_dtype = x.dtype
     x = x.reshape(B, groups, C // groups, H, W)
-    rms = x.float().square().mean(dim=(2, 3, 4), keepdim=True).add(eps).sqrt_().to(dtype=x_dtype)
+    rms = x.float().square().mean(dim=(2, 3, 4), keepdim=True).add(eps).sqrt_().to(x_dtype)
     return rms.expand(x.shape).reshape(B, C, H, W)
 
 
@@ -160,14 +160,14 @@ class EvoNorm2dB1(nn.Module):
                 n = x.numel() / x.shape[1]
                 self.running_var.copy_(
                     self.running_var * (1 - self.momentum) +
-                    var.detach().to(dtype=self.running_var.dtype) * self.momentum * (n / (n - 1)))
+                    var.detach().to(self.running_var.dtype) * self.momentum * (n / (n - 1)))
             else:
                 var = self.running_var
-            var = var.to(dtype=x_dtype).view(v_shape)
+            var = var.to(x_dtype).view(v_shape)
             left = var.add(self.eps).sqrt_()
             right = (x + 1) * instance_rms(x, self.eps)
             x = x / left.max(right)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dB2(nn.Module):
@@ -195,14 +195,14 @@ class EvoNorm2dB2(nn.Module):
                 n = x.numel() / x.shape[1]
                 self.running_var.copy_(
                     self.running_var * (1 - self.momentum) +
-                    var.detach().to(dtype=self.running_var.dtype) * self.momentum * (n / (n - 1)))
+                    var.detach().to(self.running_var.dtype) * self.momentum * (n / (n - 1)))
             else:
                 var = self.running_var
-            var = var.to(dtype=x_dtype).view(v_shape)
+            var = var.to(x_dtype).view(v_shape)
             left = var.add(self.eps).sqrt_()
             right = instance_rms(x, self.eps) - x
             x = x / left.max(right)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dS0(nn.Module):
@@ -231,9 +231,9 @@ class EvoNorm2dS0(nn.Module):
         x_dtype = x.dtype
         v_shape = (1, -1, 1, 1)
         if self.v is not None:
-            v = self.v.view(v_shape).to(dtype=x_dtype)
+            v = self.v.view(v_shape).to(x_dtype)
             x = x * (x * v).sigmoid() / group_std(x, self.groups, self.eps)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dS0a(EvoNorm2dS0):
@@ -247,10 +247,10 @@ class EvoNorm2dS0a(EvoNorm2dS0):
         v_shape = (1, -1, 1, 1)
         d = group_std(x, self.groups, self.eps)
         if self.v is not None:
-            v = self.v.view(v_shape).to(dtype=x_dtype)
+            v = self.v.view(v_shape).to(x_dtype)
             x = x * (x * v).sigmoid()
         x = x / d
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dS1(nn.Module):
@@ -284,7 +284,7 @@ class EvoNorm2dS1(nn.Module):
         v_shape = (1, -1, 1, 1)
         if self.apply_act:
             x = self.act(x) / group_std(x, self.groups, self.eps)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dS1a(EvoNorm2dS1):
@@ -299,7 +299,7 @@ class EvoNorm2dS1a(EvoNorm2dS1):
         x_dtype = x.dtype
         v_shape = (1, -1, 1, 1)
         x = self.act(x) / group_std(x, self.groups, self.eps)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dS2(nn.Module):
@@ -332,7 +332,7 @@ class EvoNorm2dS2(nn.Module):
         v_shape = (1, -1, 1, 1)
         if self.apply_act:
             x = self.act(x) / group_rms(x, self.groups, self.eps)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)
 
 
 class EvoNorm2dS2a(EvoNorm2dS2):
@@ -347,4 +347,4 @@ class EvoNorm2dS2a(EvoNorm2dS2):
         x_dtype = x.dtype
         v_shape = (1, -1, 1, 1)
         x = self.act(x) / group_rms(x, self.groups, self.eps)
-        return x * self.weight.view(v_shape).to(dtype=x_dtype) + self.bias.view(v_shape).to(dtype=x_dtype)
+        return x * self.weight.view(v_shape).to(x_dtype) + self.bias.view(v_shape).to(x_dtype)

timm/models/layers/norm_act.py

@@ -6,6 +6,7 @@ import torch
 from torch import nn as nn
 from torch.nn import functional as F
 
+from .trace_utils import _assert
 from .create_act import get_act_layer
 
 
@@ -29,9 +30,10 @@ class BatchNormAct2d(nn.BatchNorm2d):
         else:
             self.act = nn.Identity()
 
-    def _forward_jit(self, x):
-        """ A cut & paste of the contents of the PyTorch BatchNorm2d forward function
-        """
+    def forward(self, x):
+        # cut & paste of torch.nn.BatchNorm2d.forward impl to avoid issues with torchscript and tracing
+        _assert(x.ndim == 4, f'expected 4D input (got {x.ndim}D input)')
+
         # exponential_average_factor is set to self.momentum
         # (when it is available) only so that it gets updated
         # in ONNX graph when this node is exported to ONNX.
@@ -63,7 +65,7 @@ class BatchNormAct2d(nn.BatchNorm2d):
         passed when the update should occur (i.e. in training mode when they are tracked), or when buffer stats are
         used for normalization (i.e. in eval mode when buffers are not None).
         """
-        return F.batch_norm(
+        x = F.batch_norm(
             x,
             # If buffers are not to be tracked, ensure that they won't be updated
             self.running_mean if not self.training or self.track_running_stats else None,
@@ -74,17 +76,6 @@ class BatchNormAct2d(nn.BatchNorm2d):
             exponential_average_factor,
             self.eps,
         )
-
-    @torch.jit.ignore
-    def _forward_python(self, x):
-        return super(BatchNormAct2d, self).forward(x)
-
-    def forward(self, x):
-        # FIXME cannot call parent forward() and maintain jit.script compatibility?
-        if torch.jit.is_scripting():
-            x = self._forward_jit(x)
-        else:
-            x = self._forward_python(x)
         x = self.drop(x)
         x = self.act(x)
         return x

timm/models/swin_transformer.py

@@ -46,7 +46,6 @@ def _cfg(url='', **kwargs):
 
 
 default_cfgs = {
-    # patch models (my experiments)
     'swin_base_patch4_window12_384': _cfg(
         url='https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_base_patch4_window12_384_22kto1k.pth',
         input_size=(3, 384, 384), crop_pct=1.0),

timm/models/swin_transformer_v2_cr.py

@@ -64,17 +64,18 @@ def _cfg(url='', **kwargs):
 
 
 default_cfgs = {
-    # patch models (my experiments)
     'swin_v2_cr_tiny_384': _cfg(
         url="", input_size=(3, 384, 384), crop_pct=1.0),
     'swin_v2_cr_tiny_224': _cfg(
         url="", input_size=(3, 224, 224), crop_pct=0.9),
     'swin_v2_cr_tiny_ns_224': _cfg(
-        url="", input_size=(3, 224, 224), crop_pct=0.9),
+        url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_tiny_ns_224-ba8166c6.pth",
+        input_size=(3, 224, 224), crop_pct=0.9),
     'swin_v2_cr_small_384': _cfg(
         url="", input_size=(3, 384, 384), crop_pct=1.0),
     'swin_v2_cr_small_224': _cfg(
-        url="", input_size=(3, 224, 224), crop_pct=0.9),
+        url="https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights-swinv2/swin_v2_cr_small_224-0813c165.pth",
+        input_size=(3, 224, 224), crop_pct=0.9),
     'swin_v2_cr_base_384': _cfg(
         url="", input_size=(3, 384, 384), crop_pct=1.0),
     'swin_v2_cr_base_224': _cfg(