Filename
string
Depth
int64
Activations-Params
string
Activation Function
string
Total Activations
int64
Total Parameters
int64
Batch Size
int64
Max GPU Memory (MiB)
int64
Avg GPUTL
float64
Avg GRACT
float64
Avg SMACT
float64
Avg SMOCC
float64
Avg FP32A
float64
Conv2d Count
int64
BatchNorm2d Count
int64
Dropout Count
int64
AdaptiveAvgPool2d Count
int64
Linear Count
int64
Status
string
Input Size (MB)
float64
Forward/Backward Pass Size (MB)
float64
Params Size (MB)
float64
Estimated Total Size (MB)
float64
input_channels:1_num_classes:135_depth:20_arch:dense_base_filters:65_batch:54_input_size:110_act:tanh_dropout:0.34281988880870445_dropout:True_batchnorm:False.out
21
[('conv2d', 32, 110, 110, 54, 320), ('Tanh', 32, 110, 110, 54, 0), ('dropout', 32, 110, 110, 54, 0), ('conv2d', 32, 110, 110, 54, 9536), ('Tanh', 32, 110, 110, 54, 0), ('dropout', 32, 110, 110, 54, 0), ('conv2d', 32, 110, 110, 54, 18752), ('Tanh', 32, 110, 110, 54, 0), ('dropout', 32, 110, 110, 54, 0), ('conv2d', 32, 1...
Tanh
10,842,446
1,544,135
54
8,999
-1
-1
-1
-1
-1
21
0
20
1
1
SUCCESSFUL
2.7
8,778.78
5.89
8,787.37
input_channels:3_num_classes:907_depth:25_arch:uniform_base_filters:50_batch:34_input_size:42_act:elu_dropout:0.1659216433410033_dropout:False_batchnorm:True.out
25
[('conv2d', 50, 42, 42, 34, 1400), ('batchnorm2d', 50, 42, 42, 34, 100), ('ELU', 50, 42, 42, 34, 0), ('conv2d', 50, 42, 42, 34, 22550), ('batchnorm2d', 50, 42, 42, 34, 100), ('ELU', 50, 42, 42, 34, 0), ('conv2d', 50, 42, 42, 34, 22550), ('batchnorm2d', 50, 42, 42, 34, 100), ('ELU', 50, 42, 42, 34, 0), ('conv2d', 50, 42...
ELU
6,616,864
591,357
34
2,781
-1
-1
-1
-1
-1
25
25
0
1
1
SUCCESSFUL
0.68
2,288.54
2.26
2,291.48
input_channels:3_num_classes:178_depth:9_arch:uniform_base_filters:34_batch:54_input_size:150_act:mish_dropout:0.3441215017380211_dropout:True_batchnorm:False.out
9
[('conv2d', 34, 150, 150, 54, 952), ('Mish', 34, 150, 150, 54, 0), ('dropout', 34, 150, 150, 54, 0), ('conv2d', 34, 150, 150, 54, 10438), ('Mish', 34, 150, 150, 54, 0), ('dropout', 34, 150, 150, 54, 0), ('conv2d', 34, 150, 150, 54, 10438), ('Mish', 34, 150, 150, 54, 0), ('dropout', 34, 150, 150, 54, 0), ('conv2d', 34, ...
Mish
20,655,390
90,686
54
5,521
-1
-1
-1
-1
-1
9
0
9
1
1
SUCCESSFUL
14.04
11,346.48
0.35
11,360.87
input_channels:3_num_classes:945_depth:26_arch:bottleneck_base_filters:103_batch:8_input_size:214_act:swish_dropout:0.11027233324682424_dropout:True_batchnorm:True.out
26
[('conv2d', 206, 214, 214, 8, 5768), ('batchnorm2d', 206, 214, 214, 8, 412), ('SiLU', 206, 214, 214, 8, 0), ('dropout', 206, 214, 214, 8, 0), ('conv2d', 103, 214, 214, 8, 191065), ('batchnorm2d', 103, 214, 214, 8, 206), ('SiLU', 103, 214, 214, 8, 0), ('dropout', 103, 214, 214, 8, 0), ('conv2d', 116, 214, 214, 8, 107648...
SiLU
2,840,454,811
125,407,158
8
39,359
21
0.1452
0.49
0.146
0
26
26
26
1
1
OOM_CRASH
4.16
216,709.44
478.39
217,191.99
input_channels:1_num_classes:372_depth:28_arch:pyramid_base_filters:78_batch:4_input_size:212_act:elu_dropout:0.29881237346003453_dropout:False_batchnorm:False.out
28
[('conv2d', 78, 212, 212, 4, 780), ('ELU', 78, 212, 212, 4, 0), ('conv2d', 87, 212, 212, 4, 61161), ('ELU', 87, 212, 212, 4, 0), ('conv2d', 98, 212, 212, 4, 76832), ('ELU', 98, 212, 212, 4, 0), ('conv2d', 110, 212, 212, 4, 97130), ('ELU', 110, 212, 212, 4, 0), ('conv2d', 124, 212, 212, 4, 122884), ('ELU', 124, 212, 212...
ELU
1,429,221,766
128,104,383
4
38,343
93.030303
0.933727
0.954175
0.206035
0.007407
28
0
0
1
1
SUCCESSFUL
0.68
65,424.56
488.68
65,913.92
input_channels:3_num_classes:381_depth:18_arch:pyramid_base_filters:57_batch:40_input_size:10_act:gelu_dropout:0.28457802553080835_dropout:False_batchnorm:True.out
18
[('conv2d', 57, 10, 10, 40, 1596), ('batchnorm2d', 57, 10, 10, 40, 114), ('GELU', 57, 10, 10, 40, 0), ('conv2d', 69, 10, 10, 40, 35466), ('batchnorm2d', 69, 10, 10, 40, 138), ('GELU', 69, 10, 10, 40, 0), ('conv2d', 84, 10, 10, 40, 52248), ('batchnorm2d', 84, 10, 10, 40, 168), ('GELU', 84, 10, 10, 40, 0), ('conv2d', 103...
GELU
2,713,240
63,826,224
40
3,451
-1
-1
-1
-1
-1
18
18
0
1
1
SUCCESSFUL
0
1,103.6
243.48
1,347.08
input_channels:1_num_classes:152_depth:19_arch:gradual_base_filters:69_batch:56_input_size:88_act:mish_dropout:0.2185335028606779_dropout:True_batchnorm:True.out
19
[('conv2d', 69, 88, 88, 56, 690), ('batchnorm2d', 69, 88, 88, 56, 138), ('Mish', 69, 88, 88, 56, 0), ('dropout', 69, 88, 88, 56, 0), ('conv2d', 75, 88, 88, 56, 46650), ('batchnorm2d', 75, 88, 88, 56, 150), ('Mish', 75, 88, 88, 56, 0), ('dropout', 75, 88, 88, 56, 0), ('conv2d', 82, 88, 88, 56, 55432), ('batchnorm2d', 82...
Mish
101,601,927
5,752,504
56
29,249
-1
-1
-1
-1
-1
19
19
19
1
1
SUCCESSFUL
1.68
54,261.2
21.94
54,284.82
input_channels:3_num_classes:691_depth:9_arch:residual_base_filters:38_batch:58_input_size:186_act:mish_dropout:0.33075827685213754_dropout:True_batchnorm:False.out
12
[('conv2d', 38, 186, 186, 58, 152), ('conv2d', 38, 186, 186, 58, 1064), ('Mish', 38, 186, 186, 58, 0), ('dropout', 38, 186, 186, 58, 0), ('conv2d', 38, 186, 186, 58, 13034), ('Mish', 38, 186, 186, 58, 0), ('dropout', 38, 186, 186, 58, 0), ('conv2d', 59, 93, 93, 58, 2301), ('conv2d', 59, 93, 93, 58, 20237), ('Mish', 59,...
Mish
20,557,263
614,442
58
7,613
90.140625
0.872828
0.881638
0.482948
0.1616
12
0
8
1
1
SUCCESSFUL
23.2
14,294.68
2.34
14,320.22
input_channels:3_num_classes:21_depth:22_arch:hourglass_base_filters:115_batch:2_input_size:82_act:prelu_dropout:0.13065098225837143_dropout:True_batchnorm:False.out
22
[('conv2d', 115, 82, 82, 2, 3220), ('PReLU', 115, 82, 82, 2, 0), ('dropout', 115, 82, 82, 2, 0), ('conv2d', 149, 82, 82, 2, 154364), ('PReLU', 149, 82, 82, 2, 0), ('dropout', 149, 82, 82, 2, 0), ('conv2d', 194, 82, 82, 2, 260348), ('PReLU', 194, 82, 82, 2, 0), ('dropout', 194, 82, 82, 2, 0), ('conv2d', 252, 82, 82, 2, ...
PReLU
260,420,677
106,282,999
2
5,147
-1
-1
-1
-1
-1
22
0
22
1
1
SUCCESSFUL
0.16
5,298.28
405.44
5,703.88
input_channels:1_num_classes:311_depth:29_arch:hourglass_base_filters:112_batch:6_input_size:10_act:selu_dropout:0.2124353384985529_dropout:True_batchnorm:False.out
29
[('conv2d', 112, 10, 10, 6, 1120), ('SELU', 112, 10, 10, 6, 0), ('dropout', 112, 10, 10, 6, 0), ('conv2d', 137, 10, 10, 6, 138233), ('SELU', 137, 10, 10, 6, 0), ('dropout', 137, 10, 10, 6, 0), ('conv2d', 169, 10, 10, 6, 208546), ('SELU', 169, 10, 10, 6, 0), ('dropout', 169, 10, 10, 6, 0), ('conv2d', 208, 10, 10, 6, 316...
SELU
5,231,534
149,962,987
6
4,663
-1
-1
-1
-1
-1
29
0
29
1
1
SUCCESSFUL
0
319.32
572.06
891.38
input_channels:1_num_classes:937_depth:18_arch:uniform_base_filters:40_batch:18_input_size:16_act:swish_dropout:0.43449366744435325_dropout:True_batchnorm:False.out
18
[('conv2d', 40, 16, 16, 18, 400), ('SiLU', 40, 16, 16, 18, 0), ('dropout', 40, 16, 16, 18, 0), ('conv2d', 40, 16, 16, 18, 14440), ('SiLU', 40, 16, 16, 18, 0), ('dropout', 40, 16, 16, 18, 0), ('conv2d', 40, 16, 16, 18, 14440), ('SiLU', 40, 16, 16, 18, 0), ('dropout', 40, 16, 16, 18, 0), ('conv2d', 40, 16, 16, 18, 14440)...
SiLU
554,874
284,297
18
1,741
43.467742
0.417734
0.139018
0.022579
0.061232
18
0
18
1
1
SUCCESSFUL
0
101.52
1.08
102.6
input_channels:3_num_classes:204_depth:28_arch:hourglass_base_filters:118_batch:6_input_size:192_act:leaky_relu_dropout:0.27311573407644285_dropout:False_batchnorm:True.out
28
[('conv2d', 118, 192, 192, 6, 3304), ('batchnorm2d', 118, 192, 192, 6, 236), ('LeakyReLU', 118, 192, 192, 6, 0), ('conv2d', 144, 192, 192, 6, 153072), ('batchnorm2d', 144, 192, 192, 6, 288), ('LeakyReLU', 144, 192, 192, 6, 0), ('conv2d', 177, 192, 192, 6, 229569), ('batchnorm2d', 177, 192, 192, 6, 354), ('LeakyReLU', 1...
LeakyReLU
1,886,478,862
146,794,098
6
40,361
29.285714
0.274833
0.596667
0.148
0.006
28
28
0
1
1
OOM_CRASH
2.52
115,141.5
559.98
115,704
input_channels:3_num_classes:61_depth:11_arch:residual_base_filters:50_batch:50_input_size:86_act:prelu_dropout:0.4405681685866206_dropout:False_batchnorm:True.out
15
[('conv2d', 50, 86, 86, 50, 200), ('batchnorm2d', 50, 86, 86, 50, 100), ('conv2d', 50, 86, 86, 50, 1400), ('batchnorm2d', 50, 86, 86, 50, 100), ('PReLU', 50, 86, 86, 50, 0), ('conv2d', 50, 86, 86, 50, 22550), ('batchnorm2d', 50, 86, 86, 50, 100), ('PReLU', 50, 86, 86, 50, 0), ('conv2d', 70, 43, 43, 50, 3570), ('batchno...
PReLU
6,717,658
1,172,829
50
3,421
84.296875
0.793375
0.660389
0.316204
0.037717
15
15
0
1
1
SUCCESSFUL
4
3,523.5
4.47
3,531.97
input_channels:3_num_classes:870_depth:1_arch:dense_base_filters:20_batch:14_input_size:118_act:prelu_dropout:0.18328092897205225_dropout:True_batchnorm:False.out
0
[]
null
0
0
14
1,451
12.721311
0.062667
0.004444
0.001
0.001
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:670_depth:1_arch:uniform_base_filters:48_batch:48_input_size:146_act:relu_dropout:0.18464940122184534_dropout:True_batchnorm:False.out
1
[('conv2d', 48, 146, 146, 48, 480), ('ReLU', 48, 146, 146, 48, 0), ('dropout', 48, 146, 146, 48, 0), ('adaptive_avg_pool2d', 0, 0, 48, 48, 0), ('linear', 0, 0, 670, 48, 32830), ('softmax', 0, 0, 670, 48, 0)]
ReLU
3,070,892
33,310
48
2,473
-1
-1
-1
-1
-1
1
0
1
1
1
SUCCESSFUL
3.84
1,499.52
0.13
1,503.49
input_channels:3_num_classes:926_depth:22_arch:bottleneck_base_filters:70_batch:14_input_size:134_act:elu_dropout:0.3878234150969818_dropout:False_batchnorm:False.out
22
[('conv2d', 140, 134, 134, 14, 3920), ('ELU', 140, 134, 134, 14, 0), ('conv2d', 70, 134, 134, 14, 88270), ('ELU', 70, 134, 134, 14, 0), ('conv2d', 82, 134, 134, 14, 51742), ('ELU', 82, 134, 134, 14, 0), ('conv2d', 96, 134, 134, 14, 70944), ('ELU', 96, 134, 134, 14, 0), ('conv2d', 113, 134, 134, 14, 97745), ('ELU', 113,...
ELU
411,914,235
86,219,502
14
38,861
92.80303
0.9296
0.980796
0.202611
0.005571
22
0
0
1
1
SUCCESSFUL
2.94
65,995.58
328.9
66,327.42
input_channels:3_num_classes:40_depth:25_arch:dense_base_filters:48_batch:18_input_size:150_act:relu_dropout:0.2789080231867518_dropout:True_batchnorm:False.out
25
[('conv2d', 32, 150, 150, 18, 896), ('ReLU', 32, 150, 150, 18, 0), ('dropout', 32, 150, 150, 18, 0), ('conv2d', 32, 150, 150, 18, 10112), ('ReLU', 32, 150, 150, 18, 0), ('dropout', 32, 150, 150, 18, 0), ('conv2d', 32, 150, 150, 18, 19328), ('ReLU', 32, 150, 150, 18, 0), ('dropout', 32, 150, 150, 18, 0), ('conv2d', 32, ...
ReLU
22,365,785
2,221,780
18
7,811
-1
-1
-1
-1
-1
25
0
24
1
1
SUCCESSFUL
4.68
6,401.7
8.48
6,414.86
input_channels:3_num_classes:228_depth:19_arch:gradual_base_filters:64_batch:2_input_size:190_act:elu_dropout:0.43026023819476367_dropout:False_batchnorm:True.out
19
[('conv2d', 64, 190, 190, 2, 1792), ('batchnorm2d', 64, 190, 190, 2, 128), ('ELU', 64, 190, 190, 2, 0), ('conv2d', 70, 190, 190, 2, 40390), ('batchnorm2d', 70, 190, 190, 2, 140), ('ELU', 70, 190, 190, 2, 0), ('conv2d', 76, 190, 190, 2, 47956), ('batchnorm2d', 76, 190, 190, 2, 152), ('ELU', 76, 190, 190, 2, 0), ('conv2d...
ELU
337,138,686
5,242,437
2
5,169
94.571429
0.919569
0.875115
0.345212
0.028444
19
19
0
1
1
SUCCESSFUL
0.82
6,859.1
20
6,879.92
input_channels:1_num_classes:278_depth:3_arch:bottleneck_base_filters:24_batch:48_input_size:38_act:selu_dropout:0.442358692927754_dropout:True_batchnorm:False.out
3
[('conv2d', 48, 38, 38, 48, 480), ('SELU', 48, 38, 38, 48, 0), ('dropout', 48, 38, 38, 48, 0), ('conv2d', 24, 38, 38, 48, 10392), ('SELU', 24, 38, 38, 48, 0), ('dropout', 24, 38, 38, 48, 0), ('conv2d', 221, 38, 38, 48, 47957), ('SELU', 221, 38, 38, 48, 0), ('dropout', 221, 38, 38, 48, 0), ('adaptive_avg_pool2d', 0, 0, ...
SELU
1,270,053
120,545
48
2,043
46.796875
0.451508
0.372719
0.202737
0.089946
3
0
3
1
1
SUCCESSFUL
0.48
620.16
0.46
621.1
input_channels:1_num_classes:372_depth:1_arch:bottleneck_base_filters:112_batch:16_input_size:164_act:elu_dropout:0.34742645180517795_dropout:False_batchnorm:True.out
1
[('conv2d', 224, 164, 164, 16, 2240), ('batchnorm2d', 224, 164, 164, 16, 448), ('ELU', 224, 164, 164, 16, 0), ('adaptive_avg_pool2d', 0, 0, 224, 16, 0), ('linear', 0, 0, 372, 16, 83700), ('softmax', 0, 0, 372, 16, 0)]
ELU
18,075,080
86,388
16
3,333
83.78125
0.794908
0.787304
0.432964
0.072091
1
1
0
1
1
SUCCESSFUL
1.6
2,941.92
0.33
2,943.85
input_channels:1_num_classes:562_depth:4_arch:residual_base_filters:85_batch:40_input_size:96_act:elu_dropout:0.3863065738743985_dropout:False_batchnorm:True.out
6
[('conv2d', 85, 96, 96, 40, 170), ('batchnorm2d', 85, 96, 96, 40, 170), ('conv2d', 85, 96, 96, 40, 850), ('batchnorm2d', 85, 96, 96, 40, 170), ('ELU', 85, 96, 96, 40, 0), ('conv2d', 85, 96, 96, 40, 65110), ('batchnorm2d', 85, 96, 96, 40, 170), ('ELU', 85, 96, 96, 40, 0), ('conv2d', 188, 48, 48, 40, 16168), ('batchnorm2...
ELU
9,733,408
652,446
40
4,391
83.307692
0.833312
0.783768
0.368339
0.057764
6
6
0
1
1
SUCCESSFUL
1.6
4,084
2.49
4,088.09
input_channels:1_num_classes:284_depth:27_arch:pyramid_base_filters:96_batch:54_input_size:102_act:leaky_relu_dropout:0.3870221884671736_dropout:True_batchnorm:False.out
27
[('conv2d', 96, 102, 102, 54, 960), ('LeakyReLU', 96, 102, 102, 54, 0), ('dropout', 96, 102, 102, 54, 0), ('conv2d', 107, 102, 102, 54, 92555), ('LeakyReLU', 107, 102, 102, 54, 0), ('dropout', 107, 102, 102, 54, 0), ('conv2d', 120, 102, 102, 54, 115680), ('LeakyReLU', 120, 102, 102, 54, 0), ('dropout', 120, 102, 102, 5...
LeakyReLU
507,291,032
132,514,713
54
40,059
-1
-1
-1
-1
-1
27
0
27
1
1
OOM_CRASH
2.16
278,663.22
505.5
279,170.88
input_channels:3_num_classes:939_depth:22_arch:hourglass_base_filters:97_batch:2_input_size:186_act:tanh_dropout:0.22106065935086777_dropout:False_batchnorm:False.out
22
[('conv2d', 97, 186, 186, 2, 2716), ('Tanh', 97, 186, 186, 2, 0), ('conv2d', 127, 186, 186, 2, 110998), ('Tanh', 127, 186, 186, 2, 0), ('conv2d', 168, 186, 186, 2, 192192), ('Tanh', 168, 186, 186, 2, 0), ('conv2d', 222, 186, 186, 2, 335886), ('Tanh', 222, 186, 186, 2, 0), ('conv2d', 294, 186, 186, 2, 587706), ('Tanh', ...
Tanh
844,282,759
98,606,965
2
9,925
91.575758
0.917477
0.977073
0.213418
0.005196
22
0
0
1
1
SUCCESSFUL
0.8
19,324.08
376.16
19,701.04
input_channels:3_num_classes:335_depth:18_arch:hourglass_base_filters:75_batch:52_input_size:4_act:prelu_dropout:0.3117216343419094_dropout:True_batchnorm:True.out
0
[]
null
0
0
52
0
61
0.494
0
0
0.138
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:24_depth:18_arch:hourglass_base_filters:84_batch:6_input_size:148_act:elu_dropout:0.3081565118795163_dropout:True_batchnorm:False.out
18
[('conv2d', 84, 148, 148, 6, 2352), ('ELU', 84, 148, 148, 6, 0), ('dropout', 84, 148, 148, 6, 0), ('conv2d', 119, 148, 148, 6, 90083), ('ELU', 119, 148, 148, 6, 0), ('dropout', 119, 148, 148, 6, 0), ('conv2d', 170, 148, 148, 6, 182240), ('ELU', 170, 148, 148, 6, 0), ('dropout', 170, 148, 148, 6, 0), ('conv2d', 243, 148...
ELU
605,470,500
69,585,934
6
25,301
95.546875
0.926523
0.964375
0.226179
0.008315
18
0
18
1
1
SUCCESSFUL
1.5
36,954.96
265.45
37,221.91
input_channels:3_num_classes:913_depth:23_arch:gradual_base_filters:89_batch:12_input_size:176_act:tanh_dropout:0.3446932599271385_dropout:False_batchnorm:False.out
23
[('conv2d', 89, 176, 176, 12, 2492), ('Tanh', 89, 176, 176, 12, 0), ('conv2d', 95, 176, 176, 12, 76190), ('Tanh', 95, 176, 176, 12, 0), ('conv2d', 102, 176, 176, 12, 87312), ('Tanh', 102, 176, 176, 12, 0), ('conv2d', 109, 176, 176, 12, 100171), ('Tanh', 109, 176, 176, 12, 0), ('conv2d', 116, 176, 176, 12, 113912), ('Ta...
Tanh
296,008,880
10,293,122
12
22,751
94.046875
0.933094
0.955208
0.344453
0.012357
23
0
0
1
1
SUCCESSFUL
4.2
40,650.48
39.27
40,693.95
input_channels:3_num_classes:4_depth:13_arch:hourglass_base_filters:87_batch:60_input_size:110_act:softplus_dropout:0.10978773812135106_dropout:False_batchnorm:True.out
13
[('conv2d', 87, 110, 110, 60, 2436), ('batchnorm2d', 87, 110, 110, 60, 174), ('Softplus', 87, 110, 110, 60, 0), ('conv2d', 147, 110, 110, 60, 115248), ('batchnorm2d', 147, 110, 110, 60, 294), ('Softplus', 147, 110, 110, 60, 0), ('conv2d', 249, 110, 110, 60, 329676), ('batchnorm2d', 249, 110, 110, 60, 498), ('Softplus',...
Softplus
227,346,995
42,378,622
60
38,799
28.666667
0.09625
0
0
0.005
13
13
0
1
1
OOM_CRASH
8.4
138,761.4
161.66
138,931.46
input_channels:1_num_classes:633_depth:20_arch:gradual_base_filters:75_batch:16_input_size:40_act:gelu_dropout:0.32273007411823273_dropout:False_batchnorm:True.out
20
[('conv2d', 75, 40, 40, 16, 750), ('batchnorm2d', 75, 40, 40, 16, 150), ('GELU', 75, 40, 40, 16, 0), ('conv2d', 81, 40, 40, 16, 54756), ('batchnorm2d', 81, 40, 40, 16, 162), ('GELU', 81, 40, 40, 16, 0), ('conv2d', 88, 40, 40, 16, 64240), ('batchnorm2d', 88, 40, 40, 16, 176), ('GELU', 88, 40, 40, 16, 0), ('conv2d', 96, ...
GELU
17,608,026
6,982,866
16
3,619
-1
-1
-1
-1
-1
20
20
0
1
1
SUCCESSFUL
0.16
2,865.76
26.64
2,892.56
input_channels:1_num_classes:275_depth:23_arch:pyramid_base_filters:36_batch:12_input_size:150_act:selu_dropout:0.23079435308113372_dropout:False_batchnorm:True.out
23
[('conv2d', 36, 150, 150, 12, 360), ('batchnorm2d', 36, 150, 150, 12, 72), ('SELU', 36, 150, 150, 12, 0), ('conv2d', 42, 150, 150, 12, 13650), ('batchnorm2d', 42, 150, 150, 12, 84), ('SELU', 42, 150, 150, 12, 0), ('conv2d', 51, 150, 150, 12, 19329), ('batchnorm2d', 51, 150, 150, 12, 102), ('SELU', 51, 150, 150, 12, 0),...
SELU
706,322,268
75,599,487
12
39,737
-1
-1
-1
-1
-1
23
23
0
1
1
OOM_CRASH
1.08
86,220.96
288.39
86,510.43
input_channels:1_num_classes:453_depth:20_arch:hourglass_base_filters:79_batch:2_input_size:126_act:softplus_dropout:0.47250943743235563_dropout:False_batchnorm:True.out
20
[('conv2d', 79, 126, 126, 2, 790), ('batchnorm2d', 79, 126, 126, 2, 158), ('Softplus', 79, 126, 126, 2, 0), ('conv2d', 109, 126, 126, 2, 77608), ('batchnorm2d', 109, 126, 126, 2, 218), ('Softplus', 109, 126, 126, 2, 0), ('conv2d', 151, 126, 126, 2, 148282), ('batchnorm2d', 151, 126, 126, 2, 302), ('Softplus', 151, 126,...
Softplus
487,044,913
78,910,887
2
7,771
94.606061
0.927562
0.939304
0.231232
0.015745
20
20
0
1
1
SUCCESSFUL
0.12
9,908.94
301.02
10,210.08
input_channels:3_num_classes:689_depth:28_arch:dense_base_filters:70_batch:22_input_size:44_act:mish_dropout:0.3510112823428344_dropout:False_batchnorm:False.out
30
[('conv2d', 32, 44, 44, 22, 896), ('Mish', 32, 44, 44, 22, 0), ('conv2d', 32, 44, 44, 22, 10112), ('Mish', 32, 44, 44, 22, 0), ('conv2d', 32, 44, 44, 22, 19328), ('Mish', 32, 44, 44, 22, 0), ('conv2d', 32, 44, 44, 22, 28544), ('Mish', 32, 44, 44, 22, 0), ('conv2d', 65, 44, 44, 22, 8580), ('ReLU', 65, 44, 44, 22, 0), ('...
Mish
1,740,386
3,234,389
22
2,437
81.507692
0.800562
0.619389
0.258926
0.037604
30
0
0
1
1
SUCCESSFUL
0.44
697.62
12.34
710.4
input_channels:3_num_classes:75_depth:27_arch:bottleneck_base_filters:99_batch:28_input_size:214_act:tanh_dropout:0.15255581363556253_dropout:True_batchnorm:True.out
27
[('conv2d', 198, 214, 214, 28, 5544), ('batchnorm2d', 198, 214, 214, 28, 396), ('Tanh', 198, 214, 214, 28, 0), ('dropout', 198, 214, 214, 28, 0), ('conv2d', 99, 214, 214, 28, 176517), ('batchnorm2d', 99, 214, 214, 28, 198), ('Tanh', 99, 214, 214, 28, 0), ('dropout', 99, 214, 214, 28, 0), ('conv2d', 111, 214, 214, 28, 9...
Tanh
2,922,702,692
127,858,473
28
40,217
31.857143
0.173571
0.525
0.174
0.0015
27
27
27
1
1
OOM_CRASH
14.56
780,445.68
487.74
780,947.98
input_channels:3_num_classes:923_depth:2_arch:pyramid_base_filters:89_batch:24_input_size:30_act:softplus_dropout:0.12139229084902442_dropout:False_batchnorm:True.out
2
[('conv2d', 89, 30, 30, 24, 2492), ('batchnorm2d', 89, 30, 30, 24, 178), ('Softplus', 89, 30, 30, 24, 0), ('conv2d', 426, 30, 30, 24, 341652), ('batchnorm2d', 426, 30, 30, 24, 852), ('Softplus', 426, 30, 30, 24, 0), ('adaptive_avg_pool2d', 0, 0, 426, 24, 0), ('linear', 0, 0, 923, 24, 394121), ('softmax', 0, 0, 923, 24,...
Softplus
1,392,772
739,295
24
2,035
55.372881
0.51473
0.400268
0.188321
0.024895
2
2
0
1
1
SUCCESSFUL
0.24
339.84
2.82
342.9
input_channels:3_num_classes:408_depth:8_arch:residual_base_filters:42_batch:22_input_size:218_act:selu_dropout:0.4658618791481838_dropout:True_batchnorm:False.out
12
[('conv2d', 42, 218, 218, 22, 168), ('conv2d', 42, 218, 218, 22, 1176), ('SELU', 42, 218, 218, 22, 0), ('dropout', 42, 218, 218, 22, 0), ('conv2d', 42, 218, 218, 22, 15918), ('SELU', 42, 218, 218, 22, 0), ('dropout', 42, 218, 218, 22, 0), ('conv2d', 68, 109, 109, 22, 2924), ('conv2d', 68, 109, 109, 22, 25772), ('SELU',...
SELU
32,588,278
835,660
22
5,407
-1
-1
-1
-1
-1
12
0
8
1
1
SUCCESSFUL
11.88
8,595.4
3.19
8,610.47
input_channels:1_num_classes:7_depth:22_arch:bottleneck_base_filters:102_batch:62_input_size:90_act:relu_dropout:0.29765898089639037_dropout:True_batchnorm:True.out
22
[('conv2d', 204, 90, 90, 62, 2040), ('batchnorm2d', 204, 90, 90, 62, 408), ('ReLU', 204, 90, 90, 62, 0), ('dropout', 204, 90, 90, 62, 0), ('conv2d', 102, 90, 90, 62, 187374), ('batchnorm2d', 102, 90, 90, 62, 204), ('ReLU', 102, 90, 90, 62, 0), ('dropout', 102, 90, 90, 62, 0), ('conv2d', 117, 90, 90, 62, 107523), ('batc...
ReLU
416,924,989
98,790,351
62
38,911
38
0.184667
0.861
0.188
0.005
22
22
22
1
1
OOM_CRASH
1.86
246,518.2
376.86
246,896.92
input_channels:3_num_classes:436_depth:12_arch:uniform_base_filters:20_batch:32_input_size:106_act:swish_dropout:0.34367136061831416_dropout:True_batchnorm:True.out
12
[('conv2d', 20, 106, 106, 32, 560), ('batchnorm2d', 20, 106, 106, 32, 40), ('SiLU', 20, 106, 106, 32, 0), ('dropout', 20, 106, 106, 32, 0), ('conv2d', 20, 106, 106, 32, 3620), ('batchnorm2d', 20, 106, 106, 32, 40), ('SiLU', 20, 106, 106, 32, 0), ('dropout', 20, 106, 106, 32, 0), ('conv2d', 20, 106, 106, 32, 3620), ('ba...
SiLU
10,787,452
50,016
32
2,987
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
4.16
3,292.16
0.19
3,296.51
input_channels:1_num_classes:24_depth:5_arch:dense_base_filters:105_batch:4_input_size:54_act:mish_dropout:0.42383116397145704_dropout:False_batchnorm:False.out
4
[('conv2d', 32, 54, 54, 4, 320), ('Mish', 32, 54, 54, 4, 0), ('conv2d', 32, 54, 54, 4, 9536), ('Mish', 32, 54, 54, 4, 0), ('conv2d', 32, 54, 54, 4, 18752), ('Mish', 32, 54, 54, 4, 0), ('conv2d', 32, 54, 54, 4, 27968), ('Mish', 32, 54, 54, 4, 0), ('adaptive_avg_pool2d', 0, 0, 129, 4, 0), ('linear', 0, 0, 24, 4, 3120), (...
Mish
746,673
59,696
4
1,749
-1
-1
-1
-1
-1
4
0
0
1
1
SUCCESSFUL
0.04
45.64
0.23
45.91
input_channels:3_num_classes:940_depth:11_arch:gradual_base_filters:72_batch:52_input_size:204_act:selu_dropout:0.27938035317624776_dropout:False_batchnorm:False.out
11
[('conv2d', 72, 204, 204, 52, 2016), ('SELU', 72, 204, 204, 52, 0), ('conv2d', 83, 204, 204, 52, 53867), ('SELU', 83, 204, 204, 52, 0), ('conv2d', 97, 204, 204, 52, 72556), ('SELU', 97, 204, 204, 52, 0), ('conv2d', 113, 204, 204, 52, 98762), ('SELU', 113, 204, 204, 52, 0), ('conv2d', 132, 204, 204, 52, 134376), ('SELU'...
SELU
157,560,385
3,351,087
52
38,585
22.6
0.0746
0.246
0.097
0
11
0
0
1
1
OOM_CRASH
24.96
93,762.76
12.78
93,800.5
input_channels:1_num_classes:126_depth:6_arch:uniform_base_filters:53_batch:50_input_size:218_act:elu_dropout:0.40367217092206387_dropout:False_batchnorm:False.out
6
[('conv2d', 53, 218, 218, 50, 530), ('ELU', 53, 218, 218, 50, 0), ('conv2d', 53, 218, 218, 50, 25334), ('ELU', 53, 218, 218, 50, 0), ('conv2d', 53, 218, 218, 50, 25334), ('ELU', 53, 218, 218, 50, 0), ('conv2d', 53, 218, 218, 50, 25334), ('ELU', 53, 218, 218, 50, 0), ('conv2d', 53, 218, 218, 50, 25334), ('ELU', 53, 218,...
ELU
30,225,569
134,004
50
10,517
94.375
0.897375
0.9305
0.55225
0.039089
6
0
0
1
1
SUCCESSFUL
9
17,295
0.51
17,304.51
input_channels:3_num_classes:885_depth:27_arch:dense_base_filters:20_batch:12_input_size:68_act:prelu_dropout:0.12665593206477418_dropout:False_batchnorm:True.out
25
[('conv2d', 32, 68, 68, 12, 896), ('batchnorm2d', 32, 68, 68, 12, 64), ('PReLU', 32, 68, 68, 12, 0), ('conv2d', 32, 68, 68, 12, 10112), ('batchnorm2d', 32, 68, 68, 12, 64), ('PReLU', 32, 68, 68, 12, 0), ('conv2d', 32, 68, 68, 12, 19328), ('batchnorm2d', 32, 68, 68, 12, 64), ('PReLU', 32, 68, 68, 12, 0), ('conv2d', 32, ...
PReLU
4,899,291
2,820,016
12
2,639
83.671875
0.821937
0.625316
0.265193
0.1
25
25
0
1
1
SUCCESSFUL
0.6
904.8
10.76
916.16
input_channels:1_num_classes:689_depth:16_arch:hourglass_base_filters:43_batch:60_input_size:80_act:tanh_dropout:0.20228210435157112_dropout:False_batchnorm:True.out
16
[('conv2d', 43, 80, 80, 60, 430), ('batchnorm2d', 43, 80, 80, 60, 86), ('Tanh', 43, 80, 80, 60, 0), ('conv2d', 69, 80, 80, 60, 26772), ('batchnorm2d', 69, 80, 80, 60, 138), ('Tanh', 69, 80, 80, 60, 0), ('conv2d', 112, 80, 80, 60, 69664), ('batchnorm2d', 112, 80, 80, 60, 224), ('Tanh', 112, 80, 80, 60, 0), ('conv2d', 18...
Tanh
123,841,421
42,940,822
60
29,513
-1
-1
-1
-1
-1
16
16
0
1
1
SUCCESSFUL
1.2
75,586.8
163.81
75,751.81
input_channels:1_num_classes:915_depth:23_arch:hourglass_base_filters:51_batch:26_input_size:174_act:mish_dropout:0.260189492289441_dropout:False_batchnorm:True.out
23
[('conv2d', 51, 174, 174, 26, 510), ('batchnorm2d', 51, 174, 174, 26, 102), ('Mish', 51, 174, 174, 26, 0), ('conv2d', 71, 174, 174, 26, 32660), ('batchnorm2d', 71, 174, 174, 26, 142), ('Mish', 71, 174, 174, 26, 0), ('conv2d', 99, 174, 174, 26, 63360), ('batchnorm2d', 99, 174, 174, 26, 198), ('Mish', 99, 174, 174, 26, 0...
Mish
957,147,345
80,569,146
26
39,987
8
0.2352
0.506667
0.172
0.014
23
23
0
1
1
OOM_CRASH
3.12
253,151.6
307.35
253,462.07
input_channels:1_num_classes:84_depth:1_arch:pyramid_base_filters:85_batch:32_input_size:68_act:tanh_dropout:0.13270033557564465_dropout:True_batchnorm:False.out
1
[('conv2d', 85, 68, 68, 32, 850), ('Tanh', 85, 68, 68, 32, 0), ('dropout', 85, 68, 68, 32, 0), ('adaptive_avg_pool2d', 0, 0, 85, 32, 0), ('linear', 0, 0, 84, 32, 7224), ('softmax', 0, 0, 84, 32, 0)]
Tanh
1,179,373
8,074
32
1,893
-1
-1
-1
-1
-1
1
0
1
1
1
SUCCESSFUL
0.64
384
0.03
384.67
input_channels:1_num_classes:927_depth:7_arch:pyramid_base_filters:81_batch:36_input_size:106_act:prelu_dropout:0.441865315968906_dropout:True_batchnorm:False.out
7
[('conv2d', 81, 106, 106, 36, 810), ('PReLU', 81, 106, 106, 36, 0), ('dropout', 81, 106, 106, 36, 0), ('conv2d', 128, 106, 106, 36, 93440), ('PReLU', 128, 106, 106, 36, 0), ('dropout', 128, 106, 106, 36, 0), ('conv2d', 203, 106, 106, 36, 234059), ('PReLU', 203, 106, 106, 36, 0), ('dropout', 203, 106, 106, 36, 0), ('con...
PReLU
112,924,944
16,791,743
36
21,759
-1
-1
-1
-1
-1
7
0
7
1
1
SUCCESSFUL
1.44
41,353.92
64.06
41,419.42
input_channels:1_num_classes:762_depth:15_arch:bottleneck_base_filters:105_batch:56_input_size:188_act:swish_dropout:0.2875926841692986_dropout:False_batchnorm:False.out
15
[('conv2d', 210, 188, 188, 56, 2100), ('SiLU', 210, 188, 188, 56, 0), ('conv2d', 105, 188, 188, 56, 198555), ('SiLU', 105, 188, 188, 56, 0), ('conv2d', 129, 188, 188, 56, 122034), ('SiLU', 129, 188, 188, 56, 0), ('conv2d', 160, 188, 188, 56, 185920), ('SiLU', 160, 188, 188, 56, 0), ('conv2d', 198, 188, 188, 56, 285318)...
SiLU
595,408,204
58,920,917
56
39,703
45.833333
0.0475
0.511
0.097
0
15
0
0
1
1
OOM_CRASH
7.28
381,577.84
224.77
381,809.89
input_channels:3_num_classes:136_depth:1_arch:uniform_base_filters:97_batch:14_input_size:28_act:tanh_dropout:0.3861085158113705_dropout:False_batchnorm:False.out
1
[('conv2d', 97, 28, 28, 14, 2716), ('Tanh', 97, 28, 28, 14, 0), ('adaptive_avg_pool2d', 0, 0, 97, 14, 0), ('linear', 0, 0, 136, 14, 13328), ('softmax', 0, 0, 136, 14, 0)]
Tanh
152,465
16,044
14
1,723
-1
-1
-1
-1
-1
1
0
0
1
1
SUCCESSFUL
0.14
24.36
0.06
24.56
input_channels:3_num_classes:653_depth:11_arch:hourglass_base_filters:54_batch:12_input_size:40_act:gelu_dropout:0.3575829406920633_dropout:False_batchnorm:False.out
11
[('conv2d', 54, 40, 40, 12, 1512), ('GELU', 54, 40, 40, 12, 0), ('conv2d', 111, 40, 40, 12, 54057), ('GELU', 111, 40, 40, 12, 0), ('conv2d', 231, 40, 40, 12, 231000), ('GELU', 231, 40, 40, 12, 0), ('conv2d', 478, 40, 40, 12, 994240), ('GELU', 478, 40, 40, 12, 0), ('conv2d', 989, 40, 40, 12, 4255667), ('GELU', 989, 40, ...
GELU
13,614,160
24,207,266
12
3,555
92.703125
0.914032
0.866397
0.252759
0.015204
11
0
0
1
1
SUCCESSFUL
0.24
1,869.6
92.34
1,962.18
input_channels:3_num_classes:210_depth:4_arch:residual_base_filters:60_batch:56_input_size:52_act:leaky_relu_dropout:0.1667838899495187_dropout:False_batchnorm:False.out
6
[('conv2d', 60, 52, 52, 56, 240), ('conv2d', 60, 52, 52, 56, 1680), ('LeakyReLU', 60, 52, 52, 56, 0), ('conv2d', 60, 52, 52, 56, 32460), ('LeakyReLU', 60, 52, 52, 56, 0), ('conv2d', 145, 26, 26, 56, 8845), ('conv2d', 145, 26, 26, 56, 78445), ('LeakyReLU', 145, 26, 26, 56, 0), ('conv2d', 145, 26, 26, 56, 189370), ('Leak...
LeakyReLU
1,301,865
341,700
56
2,389
57.515625
0.537141
0.497966
0.253
0.019286
6
0
0
1
1
SUCCESSFUL
1.68
1,000.72
1.3
1,003.7
input_channels:1_num_classes:123_depth:1_arch:gradual_base_filters:52_batch:50_input_size:118_act:swish_dropout:0.15586658438096168_dropout:True_batchnorm:False.out
1
[('conv2d', 52, 118, 118, 50, 520), ('SiLU', 52, 118, 118, 50, 0), ('dropout', 52, 118, 118, 50, 0), ('adaptive_avg_pool2d', 0, 0, 52, 50, 0), ('linear', 0, 0, 123, 50, 6519), ('softmax', 0, 0, 123, 50, 0)]
SiLU
2,172,442
7,039
50
2,177
37.375
0.346143
0.325088
0.235333
0.061552
1
0
1
1
1
SUCCESSFUL
2.5
1,105
0.03
1,107.53
input_channels:1_num_classes:787_depth:1_arch:hourglass_base_filters:91_batch:30_input_size:162_act:softplus_dropout:0.35961845467152853_dropout:True_batchnorm:False.out
1
[('conv2d', 91, 162, 162, 30, 910), ('Softplus', 91, 162, 162, 30, 0), ('dropout', 91, 162, 162, 30, 0), ('adaptive_avg_pool2d', 0, 0, 91, 30, 0), ('linear', 0, 0, 787, 30, 72404), ('softmax', 0, 0, 787, 30, 0)]
Softplus
7,166,277
73,314
30
2,655
-1
-1
-1
-1
-1
1
0
1
1
1
SUCCESSFUL
3
2,186.7
0.28
2,189.98
input_channels:1_num_classes:449_depth:17_arch:gradual_base_filters:46_batch:2_input_size:34_act:relu_dropout:0.46028980634740524_dropout:True_batchnorm:True.out
17
[('conv2d', 46, 34, 34, 2, 460), ('batchnorm2d', 46, 34, 34, 2, 92), ('ReLU', 46, 34, 34, 2, 0), ('dropout', 46, 34, 34, 2, 0), ('conv2d', 51, 34, 34, 2, 21165), ('batchnorm2d', 51, 34, 34, 2, 102), ('ReLU', 51, 34, 34, 2, 0), ('dropout', 51, 34, 34, 2, 0), ('conv2d', 57, 34, 34, 2, 26220), ('batchnorm2d', 57, 34, 34, ...
ReLU
10,178,596
3,058,273
2
1,893
-1
-1
-1
-1
-1
17
17
17
1
1
SUCCESSFUL
0
194.14
11.67
205.81
input_channels:3_num_classes:834_depth:10_arch:dense_base_filters:51_batch:30_input_size:180_act:gelu_dropout:0.19557353475044026_dropout:True_batchnorm:False.out
9
[('conv2d', 32, 180, 180, 30, 896), ('GELU', 32, 180, 180, 30, 0), ('dropout', 32, 180, 180, 30, 0), ('conv2d', 32, 180, 180, 30, 10112), ('GELU', 32, 180, 180, 30, 0), ('dropout', 32, 180, 180, 30, 0), ('conv2d', 32, 180, 180, 30, 19328), ('GELU', 32, 180, 180, 30, 0), ('dropout', 32, 180, 180, 30, 0), ('conv2d', 32, ...
GELU
19,765,861
359,560
30
6,959
-1
-1
-1
-1
-1
9
0
8
1
1
SUCCESSFUL
11.1
7,762.8
1.37
7,775.27
input_channels:1_num_classes:340_depth:17_arch:dense_base_filters:51_batch:32_input_size:26_act:mish_dropout:0.294090634473456_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 26, 26, 32, 320), ('Mish', 32, 26, 26, 32, 0), ('conv2d', 32, 26, 26, 32, 9536), ('Mish', 32, 26, 26, 32, 0), ('conv2d', 32, 26, 26, 32, 18752), ('Mish', 32, 26, 26, 32, 0), ('conv2d', 32, 26, 26, 32, 27968), ('Mish', 32, 26, 26, 32, 0), ('conv2d', 64, 26, 26, 32, 8320), ('ReLU', 64, 26, 26, 32, 0), ('c...
Mish
390,504
1,047,380
32
1,887
44.688525
0.457554
0.264018
0.086782
0.014893
17
0
0
1
1
SUCCESSFUL
0
208.96
4
212.96
input_channels:1_num_classes:32_depth:27_arch:gradual_base_filters:63_batch:26_input_size:24_act:elu_dropout:0.12305496551182885_dropout:True_batchnorm:False.out
27
[('conv2d', 63, 24, 24, 26, 630), ('ELU', 63, 24, 24, 26, 0), ('dropout', 63, 24, 24, 26, 0), ('conv2d', 67, 24, 24, 26, 38056), ('ELU', 67, 24, 24, 26, 0), ('dropout', 67, 24, 24, 26, 0), ('conv2d', 71, 24, 24, 26, 42884), ('ELU', 71, 24, 24, 26, 0), ('dropout', 71, 24, 24, 26, 0), ('conv2d', 76, 24, 24, 26, 48640), (...
ELU
7,662,352
7,610,435
26
2,637
-1
-1
-1
-1
-1
27
0
27
1
1
SUCCESSFUL
0
2,026.44
29.03
2,055.47
input_channels:1_num_classes:438_depth:4_arch:gradual_base_filters:90_batch:36_input_size:32_act:swish_dropout:0.224924686159889_dropout:False_batchnorm:True.out
4
[('conv2d', 90, 32, 32, 36, 900), ('batchnorm2d', 90, 32, 32, 36, 180), ('SiLU', 90, 32, 32, 36, 0), ('conv2d', 133, 32, 32, 36, 107863), ('batchnorm2d', 133, 32, 32, 36, 266), ('SiLU', 133, 32, 32, 36, 0), ('conv2d', 196, 32, 32, 36, 234808), ('batchnorm2d', 196, 32, 32, 36, 392), ('SiLU', 196, 32, 32, 36, 0), ('conv2...
SiLU
2,179,214
984,297
36
2,251
50.983051
0.650169
0.583836
0.216345
0.020527
4
4
0
1
1
SUCCESSFUL
0
798.12
3.75
801.87
input_channels:3_num_classes:696_depth:28_arch:uniform_base_filters:40_batch:18_input_size:80_act:softplus_dropout:0.36169054831877745_dropout:True_batchnorm:True.out
28
[('conv2d', 40, 80, 80, 18, 1120), ('batchnorm2d', 40, 80, 80, 18, 80), ('Softplus', 40, 80, 80, 18, 0), ('dropout', 40, 80, 80, 18, 0), ('conv2d', 40, 80, 80, 18, 14440), ('batchnorm2d', 40, 80, 80, 18, 80), ('Softplus', 40, 80, 80, 18, 0), ('dropout', 40, 80, 80, 18, 0), ('conv2d', 40, 80, 80, 18, 14440), ('batchnorm...
Softplus
28,673,432
421,776
18
3,481
-1
-1
-1
-1
-1
28
28
28
1
1
SUCCESSFUL
1.26
4,922.1
1.61
4,924.97
input_channels:3_num_classes:333_depth:19_arch:gradual_base_filters:94_batch:2_input_size:110_act:gelu_dropout:0.440600735649331_dropout:True_batchnorm:True.out
19
[('conv2d', 94, 110, 110, 2, 2632), ('batchnorm2d', 94, 110, 110, 2, 188), ('GELU', 94, 110, 110, 2, 0), ('dropout', 94, 110, 110, 2, 0), ('conv2d', 101, 110, 110, 2, 85547), ('batchnorm2d', 101, 110, 110, 2, 202), ('GELU', 101, 110, 110, 2, 0), ('dropout', 101, 110, 110, 2, 0), ('conv2d', 110, 110, 110, 2, 100100), ('...
GELU
197,085,870
8,702,283
2
3,515
93.265625
0.892062
0.823382
0.301055
0.029453
19
19
19
1
1
SUCCESSFUL
0.28
3,759.12
33.2
3,792.6
input_channels:3_num_classes:50_depth:21_arch:residual_base_filters:37_batch:48_input_size:222_act:tanh_dropout:0.26521717470900763_dropout:True_batchnorm:True.out
30
[('conv2d', 37, 222, 222, 48, 148), ('batchnorm2d', 37, 222, 222, 48, 74), ('conv2d', 37, 222, 222, 48, 1036), ('batchnorm2d', 37, 222, 222, 48, 74), ('Tanh', 37, 222, 222, 48, 0), ('dropout', 37, 222, 222, 48, 0), ('conv2d', 37, 222, 222, 48, 12358), ('batchnorm2d', 37, 222, 222, 48, 74), ('Tanh', 37, 222, 222, 48, 0)...
Tanh
37,198,386
2,262,866
48
9,517
90.0625
0.889266
0.746509
0.369208
0.085982
30
30
20
1
1
SUCCESSFUL
26.88
17,709.12
8.63
17,744.63
input_channels:1_num_classes:554_depth:18_arch:residual_base_filters:112_batch:56_input_size:92_act:mish_dropout:0.17456074657609047_dropout:True_batchnorm:False.out
24
[('conv2d', 112, 92, 92, 56, 224), ('conv2d', 112, 92, 92, 56, 1120), ('Mish', 112, 92, 92, 56, 0), ('dropout', 112, 92, 92, 56, 0), ('conv2d', 112, 92, 92, 56, 113008), ('Mish', 112, 92, 92, 56, 0), ('dropout', 112, 92, 92, 56, 0), ('conv2d', 131, 46, 46, 56, 14803), ('conv2d', 131, 46, 46, 56, 132179), ('Mish', 131, ...
Mish
12,955,192
7,118,554
56
5,555
88.578125
0.864781
0.800404
0.408577
0.059907
24
0
16
1
1
SUCCESSFUL
1.68
8,697.36
27.16
8,726.2
input_channels:1_num_classes:494_depth:6_arch:pyramid_base_filters:95_batch:24_input_size:190_act:leaky_relu_dropout:0.4310256693480571_dropout:False_batchnorm:True.out
6
[('conv2d', 95, 190, 190, 24, 950), ('batchnorm2d', 95, 190, 190, 24, 190), ('LeakyReLU', 95, 190, 190, 24, 0), ('conv2d', 158, 190, 190, 24, 135248), ('batchnorm2d', 158, 190, 190, 24, 316), ('LeakyReLU', 158, 190, 190, 24, 0), ('conv2d', 264, 190, 190, 24, 375672), ('batchnorm2d', 264, 190, 190, 24, 528), ('LeakyReLU...
LeakyReLU
316,238,215
13,208,381
24
40,153
-1
-1
-1
-1
-1
6
6
0
1
1
OOM_CRASH
3.36
77,206.56
50.39
77,260.31
input_channels:3_num_classes:866_depth:12_arch:uniform_base_filters:36_batch:58_input_size:128_act:elu_dropout:0.21720030472107546_dropout:False_batchnorm:False.out
12
[('conv2d', 36, 128, 128, 58, 1008), ('ELU', 36, 128, 128, 58, 0), ('conv2d', 36, 128, 128, 58, 11700), ('ELU', 36, 128, 128, 58, 0), ('conv2d', 36, 128, 128, 58, 11700), ('ELU', 36, 128, 128, 58, 0), ('conv2d', 36, 128, 128, 58, 11700), ('ELU', 36, 128, 128, 58, 0), ('conv2d', 36, 128, 128, 58, 11700), ('ELU', 36, 128...
ELU
14,157,544
161,750
58
5,387
88.96875
0.879524
0.829786
0.333554
0.459964
12
0
0
1
1
SUCCESSFUL
11.02
9,396.58
0.62
9,408.22
input_channels:1_num_classes:507_depth:13_arch:gradual_base_filters:78_batch:38_input_size:116_act:prelu_dropout:0.41148897159424314_dropout:False_batchnorm:True.out
13
[('conv2d', 78, 116, 116, 38, 780), ('batchnorm2d', 78, 116, 116, 38, 156), ('PReLU', 78, 116, 116, 38, 0), ('conv2d', 88, 116, 116, 38, 61864), ('batchnorm2d', 88, 116, 116, 38, 176), ('PReLU', 88, 116, 116, 38, 0), ('conv2d', 100, 116, 116, 38, 79300), ('batchnorm2d', 100, 116, 116, 38, 200), ('PReLU', 100, 116, 116,...
PReLU
96,723,094
4,387,134
38
23,423
-1
-1
-1
-1
-1
13
13
0
1
1
SUCCESSFUL
1.9
37,388.58
16.74
37,407.22
input_channels:3_num_classes:573_depth:8_arch:hourglass_base_filters:98_batch:14_input_size:222_act:swish_dropout:0.2816593993243117_dropout:True_batchnorm:False.out
8
[('conv2d', 98, 222, 222, 14, 2744), ('SiLU', 98, 222, 222, 14, 0), ('dropout', 98, 222, 222, 14, 0), ('conv2d', 209, 222, 222, 14, 184547), ('SiLU', 209, 222, 222, 14, 0), ('dropout', 209, 222, 222, 14, 0), ('conv2d', 448, 222, 222, 14, 843136), ('SiLU', 448, 222, 222, 14, 0), ('dropout', 448, 222, 222, 14, 0), ('conv...
SiLU
506,246,492
18,076,738
14
33,849
94.646154
0.9302
0.945179
0.267107
0.012722
8
0
8
1
1
SUCCESSFUL
7.84
72,097.2
68.96
72,174
input_channels:1_num_classes:500_depth:10_arch:hourglass_base_filters:61_batch:8_input_size:198_act:swish_dropout:0.38906503043754836_dropout:True_batchnorm:True.out
10
[('conv2d', 61, 198, 198, 8, 610), ('batchnorm2d', 61, 198, 198, 8, 122), ('SiLU', 61, 198, 198, 8, 0), ('dropout', 61, 198, 198, 8, 0), ('conv2d', 123, 198, 198, 8, 67650), ('batchnorm2d', 123, 198, 198, 8, 246), ('SiLU', 123, 198, 198, 8, 0), ('dropout', 123, 198, 198, 8, 0), ('conv2d', 248, 198, 198, 8, 274784), ('b...
SiLU
610,956,197
21,384,559
8
21,481
-1
-1
-1
-1
-1
10
10
10
1
1
SUCCESSFUL
1.2
46,612.24
81.58
46,695.02
input_channels:1_num_classes:26_depth:16_arch:gradual_base_filters:50_batch:8_input_size:182_act:relu_dropout:0.15735694751033333_dropout:True_batchnorm:True.out
16
[('conv2d', 50, 182, 182, 8, 500), ('batchnorm2d', 50, 182, 182, 8, 100), ('ReLU', 50, 182, 182, 8, 0), ('dropout', 50, 182, 182, 8, 0), ('conv2d', 56, 182, 182, 8, 25256), ('batchnorm2d', 56, 182, 182, 8, 112), ('ReLU', 56, 182, 182, 8, 0), ('dropout', 56, 182, 182, 8, 0), ('conv2d', 63, 182, 182, 8, 31815), ('batchno...
ReLU
289,901,584
3,042,231
8
12,753
92.323077
0.922031
0.915964
0.405411
0.019164
16
16
16
1
1
SUCCESSFUL
1.04
22,117.76
11.61
22,130.41
input_channels:1_num_classes:518_depth:13_arch:hourglass_base_filters:25_batch:42_input_size:120_act:selu_dropout:0.49581927807541304_dropout:True_batchnorm:False.out
13
[('conv2d', 25, 120, 120, 42, 250), ('SELU', 25, 120, 120, 42, 0), ('dropout', 25, 120, 120, 42, 0), ('conv2d', 52, 120, 120, 42, 11752), ('SELU', 52, 120, 120, 42, 0), ('dropout', 52, 120, 120, 42, 0), ('conv2d', 108, 120, 120, 42, 50652), ('SELU', 108, 120, 120, 42, 0), ('dropout', 108, 120, 120, 42, 0), ('conv2d', 2...
SELU
180,101,861
23,019,675
42
33,315
94.734375
0.941968
0.975411
0.246643
0.011224
13
0
13
1
1
SUCCESSFUL
2.1
76,947.78
87.81
77,037.69
input_channels:3_num_classes:118_depth:12_arch:hourglass_base_filters:111_batch:28_input_size:112_act:gelu_dropout:0.15802575342053393_dropout:True_batchnorm:False.out
12
[('conv2d', 111, 112, 112, 28, 3108), ('GELU', 111, 112, 112, 28, 0), ('dropout', 111, 112, 112, 28, 0), ('conv2d', 180, 112, 112, 28, 180000), ('GELU', 180, 112, 112, 28, 0), ('dropout', 180, 112, 112, 28, 0), ('conv2d', 293, 112, 112, 28, 474953), ('GELU', 293, 112, 112, 28, 0), ('dropout', 293, 112, 112, 28, 0), ('c...
GELU
232,867,163
42,310,764
28
26,431
-1
-1
-1
-1
-1
12
0
12
1
1
SUCCESSFUL
3.92
66,327.8
161.4
66,493.12
input_channels:3_num_classes:217_depth:12_arch:pyramid_base_filters:31_batch:6_input_size:164_act:mish_dropout:0.44029459212082245_dropout:False_batchnorm:True.out
12
[('conv2d', 31, 164, 164, 6, 868), ('batchnorm2d', 31, 164, 164, 6, 62), ('Mish', 31, 164, 164, 6, 0), ('conv2d', 43, 164, 164, 6, 12040), ('batchnorm2d', 43, 164, 164, 6, 86), ('Mish', 43, 164, 164, 6, 0), ('conv2d', 62, 164, 164, 6, 24056), ('batchnorm2d', 62, 164, 164, 6, 124), ('Mish', 62, 164, 164, 6, 0), ('conv2d...
Mish
388,918,038
26,622,182
6
16,321
-1
-1
-1
-1
-1
12
12
0
1
1
SUCCESSFUL
1.86
23,737.62
101.56
23,841.04
input_channels:3_num_classes:640_depth:15_arch:pyramid_base_filters:16_batch:4_input_size:78_act:elu_dropout:0.16392323243553386_dropout:False_batchnorm:True.out
15
[('conv2d', 16, 78, 78, 4, 448), ('batchnorm2d', 16, 78, 78, 4, 32), ('ELU', 16, 78, 78, 4, 0), ('conv2d', 22, 78, 78, 4, 3190), ('batchnorm2d', 22, 78, 78, 4, 44), ('ELU', 22, 78, 78, 4, 0), ('conv2d', 30, 78, 78, 4, 5970), ('batchnorm2d', 30, 78, 78, 4, 60), ('ELU', 30, 78, 78, 4, 0), ('conv2d', 42, 78, 78, 4, 11382)...
ELU
97,012,142
30,962,650
4
4,429
93.230769
0.929492
0.91287
0.253352
0.02063
15
15
0
1
1
SUCCESSFUL
0.28
3,947.4
118.11
4,065.79
input_channels:1_num_classes:12_depth:9_arch:bottleneck_base_filters:29_batch:12_input_size:140_act:softplus_dropout:0.2556694131710471_dropout:True_batchnorm:False.out
9
[('conv2d', 58, 140, 140, 12, 580), ('Softplus', 58, 140, 140, 12, 0), ('dropout', 58, 140, 140, 12, 0), ('conv2d', 29, 140, 140, 12, 15167), ('Softplus', 29, 140, 140, 12, 0), ('dropout', 29, 140, 140, 12, 0), ('conv2d', 49, 140, 140, 12, 12838), ('Softplus', 49, 140, 140, 12, 0), ('dropout', 49, 140, 140, 12, 0), ('c...
Softplus
172,167,626
11,677,188
12
11,513
-1
-1
-1
-1
-1
9
0
9
1
1
SUCCESSFUL
0.84
21,016.56
44.54
21,061.94
input_channels:3_num_classes:228_depth:20_arch:bottleneck_base_filters:111_batch:46_input_size:60_act:prelu_dropout:0.4462183178838792_dropout:True_batchnorm:True.out
20
[('conv2d', 222, 60, 60, 46, 6216), ('batchnorm2d', 222, 60, 60, 46, 444), ('PReLU', 222, 60, 60, 46, 0), ('dropout', 222, 60, 60, 46, 0), ('conv2d', 111, 60, 60, 46, 221889), ('batchnorm2d', 111, 60, 60, 46, 222), ('PReLU', 111, 60, 60, 46, 0), ('dropout', 111, 60, 60, 46, 0), ('conv2d', 129, 60, 60, 46, 129000), ('ba...
PReLU
171,247,012
90,333,798
46
35,561
93.984375
0.931578
0.956632
0.24107
0.008509
20
20
20
1
1
SUCCESSFUL
1.84
75,123.98
344.6
75,470.42
input_channels:3_num_classes:202_depth:20_arch:dense_base_filters:122_batch:42_input_size:22_act:elu_dropout:0.17359227315784181_dropout:True_batchnorm:True.out
21
[('conv2d', 32, 22, 22, 42, 896), ('batchnorm2d', 32, 22, 22, 42, 64), ('ELU', 32, 22, 22, 42, 0), ('dropout', 32, 22, 22, 42, 0), ('conv2d', 32, 22, 22, 42, 10112), ('batchnorm2d', 32, 22, 22, 42, 64), ('ELU', 32, 22, 22, 42, 0), ('dropout', 32, 22, 22, 42, 0), ('conv2d', 32, 22, 22, 42, 19328), ('batchnorm2d', 32, 22...
ELU
590,977
1,591,578
42
2,061
42.857143
0.414698
0.227268
0.078
0.008351
21
21
20
1
1
SUCCESSFUL
0.42
324.24
6.07
330.73
input_channels:3_num_classes:138_depth:20_arch:bottleneck_base_filters:112_batch:34_input_size:52_act:relu_dropout:0.4362262389040694_dropout:False_batchnorm:True.out
20
[('conv2d', 224, 52, 52, 34, 6272), ('batchnorm2d', 224, 52, 52, 34, 448), ('ReLU', 224, 52, 52, 34, 0), ('conv2d', 112, 52, 52, 34, 225904), ('batchnorm2d', 112, 52, 52, 34, 224), ('ReLU', 112, 52, 52, 34, 0), ('conv2d', 130, 52, 52, 34, 131170), ('batchnorm2d', 130, 52, 52, 34, 260), ('ReLU', 130, 52, 52, 34, 0), ('c...
ReLU
96,778,193
90,586,896
34
17,251
94.476923
0.924766
0.966887
0.233472
0.007558
20
20
0
1
1
SUCCESSFUL
1.02
33,471.98
345.56
33,818.56
input_channels:3_num_classes:617_depth:18_arch:dense_base_filters:109_batch:30_input_size:166_act:leaky_relu_dropout:0.19235983433075338_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 166, 166, 30, 896), ('batchnorm2d', 32, 166, 166, 30, 64), ('LeakyReLU', 32, 166, 166, 30, 0), ('conv2d', 32, 166, 166, 30, 10112), ('batchnorm2d', 32, 166, 166, 30, 64), ('LeakyReLU', 32, 166, 166, 30, 0), ('conv2d', 32, 166, 166, 30, 19328), ('batchnorm2d', 32, 166, 166, 30, 64), ('LeakyReLU', 32, 166...
LeakyReLU
23,892,735
1,179,544
30
10,191
-1
-1
-1
-1
-1
17
17
0
1
1
SUCCESSFUL
9.6
9,840.9
4.5
9,855
input_channels:1_num_classes:228_depth:20_arch:residual_base_filters:107_batch:42_input_size:52_act:gelu_dropout:0.28457367209572215_dropout:False_batchnorm:False.out
18
[('conv2d', 107, 52, 52, 42, 214), ('conv2d', 107, 52, 52, 42, 1070), ('GELU', 107, 52, 52, 42, 0), ('conv2d', 107, 52, 52, 42, 103148), ('GELU', 107, 52, 52, 42, 0), ('conv2d', 124, 26, 26, 42, 13392), ('conv2d', 124, 26, 26, 42, 119536), ('GELU', 124, 26, 26, 42, 0), ('conv2d', 124, 26, 26, 42, 138508), ('GELU', 124,...
GELU
2,707,769
2,809,432
42
2,565
74.384615
0.748172
0.627475
0.283831
0.060737
18
0
0
1
1
SUCCESSFUL
0.42
1,561.56
10.72
1,572.7
input_channels:1_num_classes:308_depth:29_arch:residual_base_filters:54_batch:36_input_size:56_act:prelu_dropout:0.21470688417926742_dropout:False_batchnorm:False.out
18
[('conv2d', 54, 56, 56, 36, 108), ('conv2d', 54, 56, 56, 36, 540), ('PReLU', 54, 56, 56, 36, 0), ('conv2d', 54, 56, 56, 36, 26298), ('PReLU', 54, 56, 56, 36, 0), ('conv2d', 61, 28, 28, 36, 3355), ('conv2d', 61, 28, 28, 36, 29707), ('PReLU', 61, 28, 28, 36, 0), ('conv2d', 61, 28, 28, 36, 33550), ('PReLU', 61, 28, 28, 36...
PReLU
1,545,442
641,908
36
2,093
66.515625
0.655047
0.457304
0.205429
0.063182
18
0
0
1
1
SUCCESSFUL
0.36
763.92
2.45
766.73
input_channels:1_num_classes:7_depth:25_arch:uniform_base_filters:47_batch:20_input_size:84_act:tanh_dropout:0.20222479019201178_dropout:True_batchnorm:False.out
25
[('conv2d', 47, 84, 84, 20, 470), ('Tanh', 47, 84, 84, 20, 0), ('dropout', 47, 84, 84, 20, 0), ('conv2d', 47, 84, 84, 20, 19928), ('Tanh', 47, 84, 84, 20, 0), ('dropout', 47, 84, 84, 20, 0), ('conv2d', 47, 84, 84, 20, 19928), ('Tanh', 47, 84, 84, 20, 0), ('dropout', 47, 84, 84, 20, 0), ('conv2d', 47, 84, 84, 20, 19928)...
Tanh
24,872,461
479,078
20
3,343
90.492308
0.885359
0.822727
0.395909
0.226273
25
0
25
1
1
SUCCESSFUL
0.6
5,060.4
1.83
5,062.83
input_channels:3_num_classes:164_depth:29_arch:hourglass_base_filters:99_batch:40_input_size:68_act:mish_dropout:0.29349478365640597_dropout:True_batchnorm:True.out
29
[('conv2d', 99, 68, 68, 40, 2772), ('batchnorm2d', 99, 68, 68, 40, 198), ('Mish', 99, 68, 68, 40, 0), ('dropout', 99, 68, 68, 40, 0), ('conv2d', 122, 68, 68, 40, 108824), ('batchnorm2d', 122, 68, 68, 40, 244), ('Mish', 122, 68, 68, 40, 0), ('dropout', 122, 68, 68, 40, 0), ('conv2d', 152, 68, 68, 40, 167048), ('batchnor...
Mish
310,104,363
142,504,667
40
40,079
-1
-1
-1
-1
-1
29
29
29
1
1
OOM_CRASH
2
118,295.2
543.61
118,840.81
input_channels:1_num_classes:55_depth:22_arch:uniform_base_filters:19_batch:44_input_size:214_act:tanh_dropout:0.1302260128469472_dropout:False_batchnorm:True.out
22
[('conv2d', 19, 214, 214, 44, 190), ('batchnorm2d', 19, 214, 214, 44, 38), ('Tanh', 19, 214, 214, 44, 0), ('conv2d', 19, 214, 214, 44, 3268), ('batchnorm2d', 19, 214, 214, 44, 38), ('Tanh', 19, 214, 214, 44, 0), ('conv2d', 19, 214, 214, 44, 3268), ('batchnorm2d', 19, 214, 214, 44, 38), ('Tanh', 19, 214, 214, 44, 0), ('...
Tanh
57,428,313
70,754
44
9,161
93.234375
0.927286
0.549661
0.235893
0.162579
22
22
0
1
1
SUCCESSFUL
7.48
25,704.36
0.27
25,712.11
input_channels:1_num_classes:784_depth:6_arch:dense_base_filters:102_batch:10_input_size:46_act:mish_dropout:0.3622668964535197_dropout:True_batchnorm:False.out
4
[('conv2d', 32, 46, 46, 10, 320), ('Mish', 32, 46, 46, 10, 0), ('dropout', 32, 46, 46, 10, 0), ('conv2d', 32, 46, 46, 10, 9536), ('Mish', 32, 46, 46, 10, 0), ('dropout', 32, 46, 46, 10, 0), ('conv2d', 32, 46, 46, 10, 18752), ('Mish', 32, 46, 46, 10, 0), ('dropout', 32, 46, 46, 10, 0), ('conv2d', 32, 46, 46, 10, 27968),...
Mish
814,241
158,496
10
1,783
37.569231
0.370677
0.211
0.073
0.038224
4
0
4
1
1
SUCCESSFUL
0.1
103.6
0.6
104.3
input_channels:1_num_classes:436_depth:17_arch:bottleneck_base_filters:100_batch:16_input_size:118_act:softplus_dropout:0.11777117305051071_dropout:False_batchnorm:False.out
17
[('conv2d', 200, 118, 118, 16, 2000), ('Softplus', 200, 118, 118, 16, 0), ('conv2d', 100, 118, 118, 16, 180100), ('Softplus', 100, 118, 118, 16, 0), ('conv2d', 120, 118, 118, 16, 108120), ('Softplus', 120, 118, 118, 16, 0), ('conv2d', 145, 118, 118, 16, 156745), ('Softplus', 145, 118, 118, 16, 0), ('conv2d', 176, 118, ...
Softplus
266,535,775
68,789,117
16
38,105
94.292308
0.935569
0.961224
0.198517
0.008696
17
0
0
1
1
SUCCESSFUL
0.8
48,804
262.41
49,067.21
input_channels:3_num_classes:533_depth:12_arch:bottleneck_base_filters:127_batch:56_input_size:212_act:selu_dropout:0.45505471419052956_dropout:True_batchnorm:True.out
12
[('conv2d', 254, 212, 212, 56, 7112), ('batchnorm2d', 254, 212, 212, 56, 508), ('SELU', 254, 212, 212, 56, 0), ('dropout', 254, 212, 212, 56, 0), ('conv2d', 127, 212, 212, 56, 290449), ('batchnorm2d', 127, 212, 212, 56, 254), ('SELU', 127, 212, 212, 56, 0), ('dropout', 127, 212, 212, 56, 0), ('conv2d', 163, 212, 212, 5...
SELU
1,245,850,336
45,407,480
56
40,287
-1
-1
-1
-1
-1
12
12
12
1
1
OOM_CRASH
28.56
665,355.6
173.22
665,557.38
input_channels:3_num_classes:946_depth:28_arch:residual_base_filters:121_batch:14_input_size:176_act:elu_dropout:0.4772836304883875_dropout:False_batchnorm:True.out
30
[('conv2d', 121, 176, 176, 14, 484), ('batchnorm2d', 121, 176, 176, 14, 242), ('conv2d', 121, 176, 176, 14, 3388), ('batchnorm2d', 121, 176, 176, 14, 242), ('ELU', 121, 176, 176, 14, 0), ('conv2d', 121, 176, 176, 14, 131890), ('batchnorm2d', 121, 176, 176, 14, 242), ('ELU', 121, 176, 176, 14, 0), ('conv2d', 133, 88, 88...
ELU
54,939,344
7,855,502
14
6,121
92.65625
0.897719
0.828789
0.379772
0.043653
30
30
0
1
1
SUCCESSFUL
4.9
8,068.62
29.97
8,103.49
input_channels:3_num_classes:840_depth:27_arch:residual_base_filters:66_batch:42_input_size:38_act:tanh_dropout:0.3309805056584538_dropout:True_batchnorm:True.out
18
[('conv2d', 66, 38, 38, 42, 264), ('batchnorm2d', 66, 38, 38, 42, 132), ('conv2d', 66, 38, 38, 42, 1848), ('batchnorm2d', 66, 38, 38, 42, 132), ('Tanh', 66, 38, 38, 42, 0), ('dropout', 66, 38, 38, 42, 0), ('conv2d', 66, 38, 38, 42, 39270), ('batchnorm2d', 66, 38, 38, 42, 132), ('Tanh', 66, 38, 38, 42, 0), ('dropout', 6...
Tanh
1,764,834
1,026,876
42
2,101
50.171875
0.508781
0.327218
0.119556
0.019545
18
18
12
1
1
SUCCESSFUL
0.84
735
3.92
739.76
input_channels:1_num_classes:359_depth:15_arch:bottleneck_base_filters:40_batch:38_input_size:66_act:leaky_relu_dropout:0.37020674514010976_dropout:False_batchnorm:True.out
15
[('conv2d', 80, 66, 66, 38, 800), ('batchnorm2d', 80, 66, 66, 38, 160), ('LeakyReLU', 80, 66, 66, 38, 0), ('conv2d', 40, 66, 66, 38, 28840), ('batchnorm2d', 40, 66, 66, 38, 80), ('LeakyReLU', 40, 66, 66, 38, 0), ('conv2d', 52, 66, 66, 38, 18772), ('batchnorm2d', 52, 66, 66, 38, 104), ('LeakyReLU', 52, 66, 66, 38, 0), (...
LeakyReLU
81,834,080
38,324,164
38
21,813
-1
-1
-1
-1
-1
15
15
0
1
1
SUCCESSFUL
0.76
31,633.1
146.2
31,780.06
input_channels:1_num_classes:390_depth:9_arch:hourglass_base_filters:80_batch:4_input_size:138_act:elu_dropout:0.28449796524325466_dropout:False_batchnorm:True.out
9
[('conv2d', 80, 138, 138, 4, 800), ('batchnorm2d', 80, 138, 138, 4, 160), ('ELU', 80, 138, 138, 4, 0), ('conv2d', 179, 138, 138, 4, 129059), ('batchnorm2d', 179, 138, 138, 4, 358), ('ELU', 179, 138, 138, 4, 0), ('conv2d', 404, 138, 138, 4, 651248), ('batchnorm2d', 404, 138, 138, 4, 808), ('ELU', 404, 138, 138, 4, 0), (...
ELU
212,931,824
20,259,741
4
7,011
-1
-1
-1
-1
-1
9
9
0
1
1
SUCCESSFUL
0.28
8,664.2
77.28
8,741.76
input_channels:3_num_classes:218_depth:14_arch:residual_base_filters:121_batch:42_input_size:90_act:relu_dropout:0.3261566573700273_dropout:True_batchnorm:False.out
21
[('conv2d', 121, 90, 90, 42, 484), ('conv2d', 121, 90, 90, 42, 3388), ('ReLU', 121, 90, 90, 42, 0), ('dropout', 121, 90, 90, 42, 0), ('conv2d', 121, 90, 90, 42, 131890), ('ReLU', 121, 90, 90, 42, 0), ('dropout', 121, 90, 90, 42, 0), ('conv2d', 148, 45, 45, 42, 18056), ('conv2d', 148, 45, 45, 42, 161320), ('ReLU', 148, ...
ReLU
14,090,897
7,990,748
42
4,663
89.765625
0.858297
0.818375
0.423089
0.019736
21
0
14
1
1
SUCCESSFUL
3.78
7,095.06
30.48
7,129.32
input_channels:1_num_classes:667_depth:9_arch:dense_base_filters:71_batch:42_input_size:118_act:swish_dropout:0.2861437437624188_dropout:False_batchnorm:True.out
9
[('conv2d', 32, 118, 118, 42, 320), ('batchnorm2d', 32, 118, 118, 42, 64), ('SiLU', 32, 118, 118, 42, 0), ('conv2d', 32, 118, 118, 42, 9536), ('batchnorm2d', 32, 118, 118, 42, 64), ('SiLU', 32, 118, 118, 42, 0), ('conv2d', 32, 118, 118, 42, 18752), ('batchnorm2d', 32, 118, 118, 42, 64), ('SiLU', 32, 118, 118, 42, 0), (...
SiLU
9,358,454
323,419
42
5,187
90.112903
0.874719
0.688196
0.346232
0.112625
9
9
0
1
1
SUCCESSFUL
2.1
4,930.8
1.23
4,934.13
input_channels:1_num_classes:655_depth:7_arch:residual_base_filters:104_batch:54_input_size:12_act:selu_dropout:0.3529439273343633_dropout:True_batchnorm:True.out
6
[('conv2d', 104, 12, 12, 54, 208), ('batchnorm2d', 104, 12, 12, 54, 208), ('conv2d', 104, 12, 12, 54, 1040), ('batchnorm2d', 104, 12, 12, 54, 208), ('SELU', 104, 12, 12, 54, 0), ('dropout', 104, 12, 12, 54, 0), ('conv2d', 104, 12, 12, 54, 97448), ('batchnorm2d', 104, 12, 12, 54, 208), ('SELU', 104, 12, 12, 54, 0), ('dr...
SELU
208,469
598,440
54
1,793
-1
-1
-1
-1
-1
6
6
4
1
1
SUCCESSFUL
0
111.24
2.28
113.52
input_channels:3_num_classes:482_depth:8_arch:gradual_base_filters:70_batch:30_input_size:198_act:gelu_dropout:0.21775392202903765_dropout:False_batchnorm:False.out
8
[('conv2d', 70, 198, 198, 30, 1960), ('GELU', 70, 198, 198, 30, 0), ('conv2d', 86, 198, 198, 30, 54266), ('GELU', 86, 198, 198, 30, 0), ('conv2d', 106, 198, 198, 30, 82150), ('GELU', 106, 198, 198, 30, 0), ('conv2d', 131, 198, 198, 30, 125105), ('GELU', 131, 198, 198, 30, 0), ('conv2d', 162, 198, 198, 30, 191160), ('GE...
GELU
102,715,750
2,028,052
30
23,101
94.25
0.931619
0.942554
0.376857
0.033709
8
0
0
1
1
SUCCESSFUL
13.5
35,264.4
7.74
35,285.64
input_channels:1_num_classes:490_depth:27_arch:uniform_base_filters:20_batch:58_input_size:120_act:selu_dropout:0.31078592267907373_dropout:False_batchnorm:False.out
27
[('conv2d', 20, 120, 120, 58, 200), ('SELU', 20, 120, 120, 58, 0), ('conv2d', 20, 120, 120, 58, 3620), ('SELU', 20, 120, 120, 58, 0), ('conv2d', 20, 120, 120, 58, 3620), ('SELU', 20, 120, 120, 58, 0), ('conv2d', 20, 120, 120, 58, 3620), ('SELU', 20, 120, 120, 58, 0), ('conv2d', 20, 120, 120, 58, 3620), ('SELU', 20, 120...
SELU
15,553,000
104,610
58
5,473
88.796875
0.878985
0.886793
0.451121
0.181074
27
0
0
1
1
SUCCESSFUL
2.9
10,323.42
0.4
10,326.72
input_channels:1_num_classes:85_depth:29_arch:bottleneck_base_filters:108_batch:60_input_size:204_act:relu_dropout:0.10132814134417556_dropout:False_batchnorm:True.out
29
[('conv2d', 216, 204, 204, 60, 2160), ('batchnorm2d', 216, 204, 204, 60, 432), ('ReLU', 216, 204, 204, 60, 0), ('conv2d', 108, 204, 204, 60, 210060), ('batchnorm2d', 108, 204, 204, 60, 216), ('ReLU', 108, 204, 204, 60, 0), ('conv2d', 119, 204, 204, 60, 115787), ('batchnorm2d', 119, 204, 204, 60, 238), ('ReLU', 119, 204...
ReLU
2,211,309,789
145,084,856
60
38,537
39
0.224143
0.238333
0.067667
0.007
29
29
0
1
1
OOM_CRASH
9.6
1,349,676
553.45
1,350,239.05
input_channels:1_num_classes:566_depth:2_arch:dense_base_filters:39_batch:36_input_size:62_act:tanh_dropout:0.29825260753731425_dropout:True_batchnorm:False.out
0
[]
null
0
0
36
1,451
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:350_depth:11_arch:uniform_base_filters:126_batch:12_input_size:4_act:softplus_dropout:0.4684928347886931_dropout:False_batchnorm:True.out
0
[]
null
0
0
12
0
0
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:424_depth:3_arch:uniform_base_filters:44_batch:52_input_size:166_act:gelu_dropout:0.15830777512622407_dropout:False_batchnorm:True.out
3
[('conv2d', 44, 166, 166, 52, 1232), ('batchnorm2d', 44, 166, 166, 52, 88), ('GELU', 44, 166, 166, 52, 0), ('conv2d', 44, 166, 166, 52, 17468), ('batchnorm2d', 44, 166, 166, 52, 88), ('GELU', 44, 166, 166, 52, 0), ('conv2d', 44, 166, 166, 52, 17468), ('batchnorm2d', 44, 166, 166, 52, 88), ('GELU', 44, 166, 166, 52, 0),...
GELU
10,913,068
55,512
52
5,211
-1
-1
-1
-1
-1
3
3
0
1
1
SUCCESSFUL
16.64
5,772.52
0.21
5,789.37
input_channels:3_num_classes:645_depth:15_arch:bottleneck_base_filters:45_batch:54_input_size:222_act:swish_dropout:0.3574172894740699_dropout:False_batchnorm:True.out
15
[('conv2d', 90, 222, 222, 54, 2520), ('batchnorm2d', 90, 222, 222, 54, 180), ('SiLU', 90, 222, 222, 54, 0), ('conv2d', 45, 222, 222, 54, 36495), ('batchnorm2d', 45, 222, 222, 54, 90), ('SiLU', 45, 222, 222, 54, 0), ('conv2d', 59, 222, 222, 54, 23954), ('batchnorm2d', 59, 222, 222, 54, 118), ('SiLU', 59, 222, 222, 54, 0...
SiLU
956,753,141
40,600,638
54
39,293
-1
-1
-1
-1
-1
15
15
0
1
1
OOM_CRASH
30.24
525,559.86
154.88
525,744.98
input_channels:3_num_classes:489_depth:23_arch:gradual_base_filters:68_batch:14_input_size:30_act:selu_dropout:0.20077744314562762_dropout:True_batchnorm:True.out
23
[('conv2d', 68, 30, 30, 14, 1904), ('batchnorm2d', 68, 30, 30, 14, 136), ('SELU', 68, 30, 30, 14, 0), ('dropout', 68, 30, 30, 14, 0), ('conv2d', 73, 30, 30, 14, 44749), ('batchnorm2d', 73, 30, 30, 14, 146), ('SELU', 73, 30, 30, 14, 0), ('dropout', 73, 30, 30, 14, 0), ('conv2d', 78, 30, 30, 14, 51324), ('batchnorm2d', 7...
SELU
14,260,924
7,161,615
14
2,943
-1
-1
-1
-1
-1
23
23
23
1
1
SUCCESSFUL
0.14
1,904
27.32
1,931.46
input_channels:1_num_classes:243_depth:1_arch:residual_base_filters:58_batch:18_input_size:96_act:softplus_dropout:0.14405408966253275_dropout:True_batchnorm:True.out
0
[]
null
0
0
18
1,451
8.770492
0.074871
0.001889
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:515_depth:25_arch:hourglass_base_filters:70_batch:60_input_size:158_act:gelu_dropout:0.2386272807730494_dropout:True_batchnorm:True.out
25
[('conv2d', 70, 158, 158, 60, 1960), ('batchnorm2d', 70, 158, 158, 60, 140), ('GELU', 70, 158, 158, 60, 0), ('dropout', 70, 158, 158, 60, 0), ('conv2d', 92, 158, 158, 60, 58052), ('batchnorm2d', 92, 158, 158, 60, 184), ('GELU', 92, 158, 158, 60, 0), ('dropout', 92, 158, 158, 60, 0), ('conv2d', 122, 158, 158, 60, 101138...
GELU
1,272,466,108
102,218,170
60
39,671
3.666667
0.1656
0.054
0.027
0
25
25
25
1
1
OOM_CRASH
17.4
728,110.8
389.93
728,518.13
input_channels:3_num_classes:12_depth:1_arch:uniform_base_filters:111_batch:28_input_size:190_act:tanh_dropout:0.27343464378754667_dropout:False_batchnorm:False.out
1
[('conv2d', 111, 190, 190, 28, 3108), ('Tanh', 111, 190, 190, 28, 0), ('adaptive_avg_pool2d', 0, 0, 111, 28, 0), ('linear', 0, 0, 12, 28, 1344), ('softmax', 0, 0, 12, 28, 0)]
Tanh
8,014,335
4,452
28
3,035
43.625
0.36925
0.376218
0.269927
0.084321
1
0
0
1
1
SUCCESSFUL
11.48
2,568.16
0.02
2,579.66