Add train benchmark results, adjust name scheme for inference and train benchmark files.

results/benchmark-train-amp-nchw-pt110-cu113-rtx3090.csv

@@ -0,0 +1,703 @@
+model,train_samples_per_sec,train_step_time,train_batch_size,train_img_size,param_count
+tinynet_e,8788.08,57.613,512,106,2.04
+mobilenetv3_small_050,6451.43,78.69,512,224,1.59
+tf_mobilenetv3_small_minimal_100,6231.46,81.639,512,224,2.04
+levit_128s,5345.65,94.962,512,224,7.78
+lcnet_035,5326.51,95.668,512,224,1.64
+mobilenetv3_small_075,5149.15,98.754,512,224,2.04
+lcnet_050,4879.43,104.466,512,224,1.88
+tf_mobilenetv3_small_075,4839.2,105.1,512,224,2.04
+mobilenetv3_small_100,4741.69,107.315,512,224,2.54
+tf_mobilenetv3_small_100,4474.54,113.738,512,224,2.54
+tinynet_d,4465.05,113.942,512,152,2.34
+mixer_s32_224,3957.52,128.859,512,224,19.1
+levit_128,3868.72,131.359,512,224,9.21
+lcnet_075,3674.09,138.887,512,224,2.36
+vit_small_patch32_224,3657.34,139.252,512,224,22.88
+vit_tiny_r_s16_p8_224,3407.13,149.506,512,224,6.34
+regnetx_002,3372.01,151.204,512,224,2.68
+levit_192,3357.19,151.505,512,224,10.95
+mnasnet_small,3158.42,161.274,512,224,2.03
+regnety_002,3119.2,163.263,512,224,3.16
+lcnet_100,3075.72,165.994,512,224,2.95
+mobilenetv2_035,3007.95,169.496,512,224,1.68
+gernet_s,2901.28,175.82,512,224,8.17
+gluon_resnet18_v1b,2671.91,191.302,512,224,11.69
+swsl_resnet18,2669.15,191.488,512,224,11.69
+ssl_resnet18,2668.71,191.54,512,224,11.69
+resnet18,2662.83,191.947,512,224,11.69
+mobilenetv2_050,2596.25,196.482,512,224,1.97
+levit_256,2559.67,199.033,512,224,18.89
+regnetx_004,2499.65,203.84,512,224,5.16
+mnasnet_050,2494.39,204.524,512,224,2.22
+semnasnet_050,2494.01,204.433,512,224,2.08
+seresnet18,2463.7,207.356,512,224,11.78
+ese_vovnet19b_slim_dw,2437.98,209.545,512,224,1.9
+legacy_seresnet18,2413.99,211.632,512,224,11.78
+tinynet_c,2389.53,213.326,512,184,2.46
+tf_mobilenetv3_large_minimal_100,2278.25,224.06,512,224,3.92
+lcnet_150,2248.73,227.214,512,224,4.5
+mobilenetv3_large_075,2139.42,238.494,512,224,3.99
+ghostnet_050,2137.33,238.296,512,224,2.59
+resnet18d,2046.03,249.892,512,224,11.71
+tf_mobilenetv3_large_075,2027.78,251.65,512,224,3.99
+regnetx_006,2023.49,252.29,512,224,6.2
+ese_vovnet19b_slim,1970.7,259.464,512,224,3.17
+mobilenetv3_rw,1940.58,263.024,512,224,5.48
+mobilenetv3_large_100,1936.66,263.562,512,224,5.48
+mobilenetv3_large_100_miil,1936.5,263.563,512,224,5.48
+mnasnet_075,1879.23,271.718,512,224,3.17
+mobilenetv2_075,1868.15,273.318,512,224,2.64
+tf_efficientnetv2_b0,1853.32,275.137,512,224,7.14
+tf_mobilenetv3_large_100,1838.66,277.647,512,224,5.48
+regnety_004,1819.61,280.334,512,224,4.34
+resnetblur18,1808.21,282.828,512,224,11.69
+semnasnet_075,1791.94,284.855,512,224,2.91
+regnety_006,1780.58,286.558,512,224,6.06
+mobilenetv2_100,1744.9,292.687,512,224,3.5
+skresnet18,1742.33,293.29,512,224,11.96
+mnasnet_b1,1686.64,302.825,512,224,4.38
+mnasnet_100,1686.2,302.919,512,224,4.38
+deit_tiny_patch16_224,1678.5,304.281,512,224,5.72
+vit_tiny_patch16_224,1673.2,305.238,512,224,5.72
+tinynet_b,1669.81,305.621,512,188,3.73
+hardcorenas_a,1656.9,308.354,512,224,5.26
+deit_tiny_distilled_patch16_224,1654.85,308.608,512,224,5.91
+hardcorenas_b,1648.45,309.73,512,224,5.18
+regnetx_008,1647.09,310.092,512,224,7.26
+mnasnet_a1,1641.47,311.08,512,224,3.89
+semnasnet_100,1640.14,311.319,512,224,3.89
+levit_384,1616.42,315.722,512,224,39.13
+gluon_resnet34_v1b,1598.5,319.781,512,224,21.8
+resnet34,1593.87,320.693,512,224,21.8
+tv_resnet34,1592.81,320.898,512,224,21.8
+mixer_b32_224,1579.25,323.449,512,224,60.29
+hardcorenas_c,1569.06,325.387,512,224,5.52
+visformer_tiny,1563.94,326.764,512,224,10.32
+spnasnet_100,1551.19,329.16,512,224,4.42
+pit_ti_distilled_224,1547.24,330.092,512,224,5.1
+pit_ti_224,1546.92,330.186,512,224,4.85
+hardcorenas_d,1543.77,330.549,512,224,7.5
+ghostnet_100,1541.6,330.868,512,224,5.18
+vit_base_patch32_224,1529.64,333.95,512,224,88.22
+vit_base_patch32_224_sam,1527.96,334.33,512,224,88.22
+regnety_008,1525.57,334.693,512,224,6.26
+resmlp_12_224,1513.1,337.634,512,224,15.35
+resmlp_12_distilled_224,1513.05,337.643,512,224,15.35
+seresnet34,1461.69,349.453,512,224,21.96
+nf_regnet_b0,1450.04,351.967,512,256,8.76
+legacy_seresnet34,1428.59,357.543,512,224,21.96
+gernet_m,1427.9,357.926,512,224,21.14
+ese_vovnet19b_dw,1411.33,362.322,512,224,6.54
+nf_resnet26,1408.11,363.145,512,224,16.0
+dla46_c,1390.48,367.526,512,224,1.3
+tinynet_a,1383.86,368.826,512,192,6.19
+efficientnet_lite0,1368.92,373.303,512,224,4.65
+mobilenetv2_110d,1368.66,279.598,384,224,4.52
+rexnetr_100,1367.14,279.805,384,224,4.88
+rexnet_100,1361.11,281.051,384,224,4.8
+resnet34d,1349.98,378.71,512,224,21.82
+xcit_nano_12_p16_224_dist,1340.16,380.375,512,224,3.05
+xcit_nano_12_p16_224,1338.66,380.8,512,224,3.05
+hardcorenas_f,1338.06,381.608,512,224,8.2
+selecsls42,1328.24,384.874,512,224,30.35
+ghostnet_130,1326.71,384.661,512,224,7.36
+selecsls42b,1324.18,386.065,512,224,32.46
+mixer_s16_224,1308.0,390.939,512,224,18.53
+resnet26,1305.0,391.896,512,224,16.0
+tf_efficientnet_lite0,1300.06,393.134,512,224,4.65
+hardcorenas_e,1287.59,396.566,512,224,8.07
+hrnet_w18_small,1275.09,400.255,512,224,13.19
+pit_xs_distilled_224,1245.81,410.186,512,224,11.0
+pit_xs_224,1244.79,410.521,512,224,10.62
+mnasnet_140,1243.07,411.14,512,224,7.12
+fbnetc_100,1241.42,411.527,512,224,5.57
+mobilenetv2_140,1236.2,309.893,384,224,6.11
+vit_small_patch32_384,1210.76,422.138,512,384,22.92
+efficientnet_b0,1207.97,316.872,384,224,5.29
+semnasnet_140,1199.21,426.076,512,224,6.11
+nf_seresnet26,1183.4,432.047,512,224,17.4
+tf_efficientnetv2_b1,1182.26,323.455,384,240,8.14
+vit_tiny_r_s16_p8_384,1176.2,325.707,384,384,6.36
+repvgg_b0,1166.7,437.858,512,224,15.82
+gmixer_12_224,1164.26,439.045,512,224,12.7
+tf_efficientnet_b0_ns,1155.19,331.423,384,224,5.29
+tf_efficientnet_b0,1155.11,331.42,384,224,5.29
+tf_efficientnet_b0_ap,1154.21,331.702,384,224,5.29
+efficientnet_b1_pruned,1141.45,447.176,512,240,6.33
+selecsls60,1132.77,451.165,512,224,30.67
+selecsls60b,1130.1,452.225,512,224,32.77
+resnet26d,1110.35,460.655,512,224,16.01
+nf_ecaresnet26,1108.5,461.384,512,224,16.0
+rexnetr_130,1084.92,234.909,256,224,7.61
+mixnet_s,1079.62,473.081,512,224,4.13
+dla34,1055.21,484.649,512,224,15.74
+dla46x_c,1044.64,489.413,512,224,1.07
+rexnet_130,1038.12,245.54,256,224,7.56
+regnetx_016,1027.51,497.437,512,224,9.19
+mobilenetv2_120d,1026.61,248.294,256,224,5.83
+ecaresnet50d_pruned,1019.51,501.3,512,224,19.94
+tf_mixnet_s,1018.74,501.408,512,224,4.13
+skresnet34,1008.77,506.519,512,224,22.28
+dla60x_c,999.33,511.452,512,224,1.32
+gernet_l,994.19,514.18,512,256,31.08
+xcit_tiny_12_p16_224,974.89,523.578,512,224,6.72
+xcit_tiny_12_p16_224_dist,974.56,523.762,512,224,6.72
+rexnetr_150,962.03,265.059,256,224,9.78
+crossvit_tiny_240,946.09,404.397,384,240,7.01
+crossvit_9_240,942.0,406.34,384,240,8.55
+rexnet_150,920.27,277.114,256,224,9.73
+repvgg_a2,916.8,557.644,512,224,28.21
+legacy_seresnext26_32x4d,911.29,561.256,512,224,16.79
+efficientnet_lite1,907.6,281.167,256,240,5.42
+crossvit_9_dagger_240,907.56,421.794,384,240,8.78
+regnety_016,905.38,563.868,512,224,11.2
+convit_tiny,905.04,423.366,384,224,5.71
+gmlp_ti16_224,895.37,427.435,384,224,5.87
+efficientnet_es_pruned,894.51,571.683,512,224,5.44
+efficientnet_es,894.06,571.94,512,224,5.44
+resnest14d,890.17,574.739,512,224,10.61
+deit_small_patch16_224,879.08,436.051,384,224,22.05
+vit_small_patch16_224,877.74,436.745,384,224,22.05
+tf_efficientnet_es,877.36,582.875,512,224,5.44
+resnetv2_50,874.29,584.904,512,224,25.55
+resnext26ts,872.05,439.874,384,256,10.3
+tf_efficientnet_lite1,870.75,293.088,256,240,5.42
+resnet26t,867.6,589.639,512,256,16.01
+tf_efficientnetv2_b2,866.58,294.02,256,260,10.1
+deit_small_distilled_patch16_224,865.21,443.046,384,224,22.44
+nf_regnet_b1,863.6,591.527,512,288,10.22
+nf_regnet_b2,857.0,595.977,512,272,14.31
+eca_resnext26ts,843.14,303.098,256,256,10.3
+seresnext26ts,838.62,304.653,256,256,10.39
+resnet50,826.48,463.878,384,224,25.56
+ssl_resnet50,826.14,464.04,384,224,25.56
+botnet26t_256,825.99,464.363,384,256,12.49
+tv_resnet50,825.99,464.131,384,224,25.56
+swsl_resnet50,825.61,464.367,384,224,25.56
+gluon_resnet50_v1b,825.26,464.548,384,224,25.56
+gcresnext26ts,820.94,311.077,256,256,10.48
+seresnext26t_32x4d,819.08,468.216,384,224,16.81
+seresnext26tn_32x4d,818.65,468.46,384,224,16.81
+seresnext26d_32x4d,816.35,469.756,384,224,16.81
+pit_s_224,814.17,313.637,256,224,23.46
+pit_s_distilled_224,813.41,313.92,256,224,24.04
+vgg11,798.47,641.065,512,224,132.86
+halonet26t,796.75,481.425,384,256,12.48
+eca_botnext26ts_256,794.14,321.819,256,256,10.59
+resnetv2_50t,783.96,652.33,512,224,25.57
+vit_small_resnet26d_224,783.75,488.981,384,224,63.61
+ecaresnext26t_32x4d,782.53,490.179,384,224,15.41
+ecaresnext50t_32x4d,782.45,490.233,384,224,15.41
+resnetv2_50d,781.21,654.649,512,224,25.57
+tresnet_m,773.27,659.381,512,224,31.39
+fbnetv3_d,771.82,329.985,256,256,10.31
+eca_halonext26ts,770.01,331.906,256,256,10.76
+cspresnet50,766.64,500.094,384,256,21.62
+fbnetv3_b,765.95,499.824,384,256,8.6
+ecaresnet101d_pruned,765.08,667.536,512,224,24.88
+vovnet39a,764.37,669.255,512,224,22.6
+gluon_resnet50_v1c,761.03,503.811,384,224,25.58
+cspresnext50,757.53,506.115,384,224,20.57
+efficientnet_cc_b0_4e,755.85,506.911,384,224,13.31
+ecaresnetlight,754.13,678.075,512,224,30.16
+efficientnet_cc_b0_8e,750.91,510.273,384,224,24.01
+mixnet_m,749.54,510.912,384,224,5.01
+efficientnet_b2_pruned,748.23,340.751,256,260,8.31
+resnet50t,745.06,514.605,384,224,25.57
+resmlp_24_distilled_224,744.01,342.726,256,224,30.02
+gluon_resnet50_v1d,743.98,515.37,384,224,25.58
+resnet50d,743.76,515.521,384,224,25.58
+resmlp_24_224,743.43,342.965,256,224,30.02
+legacy_seresnet50,739.53,518.192,384,224,28.09
+resnet32ts,736.71,346.942,256,256,17.96
+ese_vovnet39b,733.2,523.109,384,224,24.57
+tf_efficientnet_cc_b0_4e,732.92,522.856,384,224,13.31
+tf_efficientnet_cc_b0_8e,731.1,524.143,384,224,24.01
+dpn68b,728.18,526.241,384,224,12.61
+resnet33ts,727.42,351.376,256,256,19.68
+selecsls84,719.68,710.264,512,224,50.95
+nf_seresnet50,718.4,533.452,384,224,28.09
+rexnetr_200,715.44,267.313,192,224,16.52
+visformer_small,713.57,537.5,384,224,40.22
+res2net50_48w_2s,712.35,538.286,384,224,25.29
+tf_mixnet_m,711.23,538.464,384,224,5.01
+dpn68,711.07,539.016,384,224,12.61
+seresnet50,710.55,539.38,384,224,28.09
+lambda_resnet26t,708.6,541.35,384,256,10.96
+bat_resnext26ts,706.1,361.453,256,256,10.73
+tf_efficientnet_b1,705.85,361.254,256,240,7.79
+tf_efficientnet_b1_ns,705.53,361.468,256,240,7.79
+tf_efficientnet_b1_ap,705.49,361.504,256,240,7.79
+seresnet33ts,700.84,364.51,256,256,19.78
+eca_resnet33ts,700.22,364.953,256,256,19.68
+resnetblur50,694.99,551.777,384,224,25.56
+cspresnet50d,694.84,551.823,384,256,21.64
+rexnet_200,693.57,275.752,192,224,16.37
+cspresnet50w,686.88,558.19,384,256,28.12
+eca_vovnet39b,683.56,748.398,512,224,22.6
+densenet121,682.9,373.209,256,224,7.98
+dla60,682.79,561.488,384,224,22.04
+efficientnet_b1,682.7,373.555,256,256,7.79
+tv_densenet121,681.14,374.178,256,224,7.98
+gcresnet33ts,680.99,374.966,256,256,19.88
+efficientnet_lite2,680.43,375.329,256,260,6.09
+resnest26d,672.85,570.012,384,224,17.07
+resnetaa50d,669.52,572.758,384,224,25.58
+vgg11_bn,669.19,382.326,256,224,132.87
+gluon_resnet50_v1s,664.71,576.903,384,224,25.68
+nf_ecaresnet50,663.54,577.843,384,224,25.56
+hrnet_w18_small_v2,663.05,769.959,512,224,15.6
+tf_efficientnet_lite2,656.12,389.28,256,260,6.09
+vit_small_r26_s32_224,654.12,390.216,256,224,36.43
+lambda_resnet26rpt_256,650.73,196.144,128,256,10.99
+vit_base_resnet26d_224,650.56,589.099,384,224,101.4
+seresnet50t,645.62,395.439,256,224,28.1
+gluon_resnext50_32x4d,643.1,596.344,384,224,25.03
+ssl_resnext50_32x4d,642.69,596.753,384,224,25.03
+resnext50_32x4d,642.56,596.871,384,224,25.03
+tv_resnext50_32x4d,642.26,597.116,384,224,25.03
+swsl_resnext50_32x4d,642.22,597.166,384,224,25.03
+haloregnetz_b,639.45,398.971,256,224,11.68
+resnetrs50,639.32,599.548,384,224,35.69
+densenet121d,637.87,399.654,256,224,8.0
+regnetx_032,635.48,603.11,384,224,15.3
+resnetblur50d,634.6,402.62,256,224,25.58
+res2net50_26w_4s,625.68,407.946,256,224,25.7
+skresnet50,620.44,411.364,256,224,25.8
+ese_vovnet57b,618.38,620.149,384,224,38.61
+densenetblur121d,611.64,416.815,256,224,8.0
+ecaresnet50d,601.62,424.614,256,224,25.58
+adv_inception_v3,592.83,646.406,384,299,23.83
+resnext50d_32x4d,590.58,432.684,256,224,25.05
+gluon_inception_v3,589.45,650.157,384,299,23.83
+inception_v3,588.55,651.172,384,299,23.83
+tf_inception_v3,588.36,651.336,384,299,23.83
+seresnetaa50d,587.38,434.758,256,224,28.11
+sehalonet33ts,585.23,436.688,256,256,13.69
+coat_lite_tiny,580.33,660.876,384,224,5.72
+gmixer_24_224,577.9,441.611,256,224,24.72
+gcresnet50t,577.25,442.093,256,256,25.9
+efficientnet_b3_pruned,576.96,442.1,256,300,9.86
+mixnet_l,576.91,442.34,256,224,7.33
+resnetv2_50x1_bit_distilled,575.09,333.113,192,224,25.55
+skresnet50d,572.85,445.576,256,224,25.82
+vovnet57a,569.57,898.133,512,224,36.64
+res2next50,568.73,448.924,256,224,24.67
+seresnext50_32x4d,567.85,449.777,256,224,27.56
+gluon_seresnext50_32x4d,567.27,450.224,256,224,27.56
+cspresnext50_iabn,565.5,676.906,384,256,20.57
+legacy_seresnext50_32x4d,565.44,451.632,256,224,27.56
+resnest50d_1s4x24d,561.18,454.967,256,224,25.68
+res2net50_14w_8s,560.86,454.355,256,224,25.06
+repvgg_b1g4,560.47,912.475,512,224,39.97
+densenet169,558.29,456.216,256,224,14.15
+convnext_tiny,558.25,457.708,256,224,28.59
+convnext_tiny_hnf,555.94,459.59,256,224,28.59
+coat_lite_mini,554.95,691.16,384,224,11.01
+regnety_040,554.71,690.835,384,224,20.65
+dla60_res2net,550.65,463.555,256,224,20.85
+darknet53,549.0,465.546,256,256,41.61
+vgg13,548.68,699.681,384,224,133.05
+tf_mixnet_l,547.03,466.516,256,224,7.33
+dla60x,544.8,469.001,256,224,17.35
+efficientnet_em,542.04,707.524,384,240,6.9
+regnetx_040,541.76,707.76,384,224,22.12
+nf_resnet101,541.63,707.493,384,224,44.55
+tf_efficientnet_em,539.79,473.368,256,240,6.9
+nf_regnet_b3,535.57,476.345,256,320,18.59
+resnetv2_101,535.41,476.74,256,224,44.54
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results/benchmark-train-amp-nhwc-pt110-cu113-rtx3090.csv

@@ -0,0 +1,699 @@
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+pit_s_224,809.09,315.601,256,224,23.46
+pit_s_distilled_224,808.91,315.694,256,224,24.04
+vovnet57a,808.86,473.9,384,224,36.64
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+dla60_res2net,730.56,349.091,256,224,20.85
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+dla60x,680.87,375.081,256,224,17.35
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+eca_botnext26ts_256,609.21,419.672,256,256,10.59
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+halonet50ts,568.71,336.701,192,256,22.73
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+tresnet_l,102.9,4972.484,512,224,55.99
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+beit_large_patch16_224,98.03,487.815,48,224,304.43
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+ecaresnet269d,75.74,418.332,32,352,102.09
+regnety_120,75.43,2544.024,192,224,51.82
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+resnetrs270,73.04,432.615,32,352,129.86
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+regnetz_d8_evob,68.84,695.406,48,320,23.41
+regnety_320,66.69,1917.907,128,224,145.05
+nasnetalarge,65.99,480.339,32,331,88.75
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+resmlp_big_24_224,65.94,483.953,32,224,129.14
+resmlp_big_24_224_in22ft1k,65.9,484.194,32,224,129.14
+regnetx_160,65.04,2951.208,192,224,54.28
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+cait_xs24_384,60.56,393.982,24,384,26.67
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+vit_base_patch8_224,57.86,275.754,16,224,86.58
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+tresnet_m_448,52.97,3622.14,192,448,31.39
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+ssl_resnext101_32x16d,46.89,2045.721,96,224,194.03
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+swin_large_patch4_window12_384,36.73,433.938,16,384,196.74
+efficientnet_b7,35.91,219.519,8,600,66.35
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