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:3_num_classes:597_depth:27_arch:pyramid_base_filters:408_batch:28_input_size:126_act:prelu_dropout:0.16442852978406014_dropout:True_batchnorm:False.out
27
[('conv2d', 408, 126, 126, 28, 11424), ('PReLU', 408, 126, 126, 28, 0), ('dropout', 408, 126, 126, 28, 0), ('conv2d', 433, 126, 126, 28, 1590409), ('PReLU', 433, 126, 126, 28, 0), ('dropout', 433, 126, 126, 28, 0), ('conv2d', 459, 126, 126, 28, 1789182), ('PReLU', 459, 126, 126, 28, 0), ('dropout', 459, 126, 126, 28, 0...
PReLU
1,267,908,111
268,539,428
28
38,785
25
0.1628
0.731
0.1815
0
27
0
27
1
1
OOM_CRASH
5.04
361,138.96
1,024.4
362,168.4
input_channels:3_num_classes:596_depth:26_arch:dense_base_filters:426_batch:42_input_size:76_act:swish_dropout:0.46529984461245955_dropout:False_batchnorm:False.out
25
[('conv2d', 32, 76, 76, 42, 896), ('SiLU', 32, 76, 76, 42, 0), ('conv2d', 32, 76, 76, 42, 10112), ('SiLU', 32, 76, 76, 42, 0), ('conv2d', 32, 76, 76, 42, 19328), ('SiLU', 32, 76, 76, 42, 0), ('conv2d', 32, 76, 76, 42, 28544), ('SiLU', 32, 76, 76, 42, 0), ('conv2d', 65, 76, 76, 42, 8580), ('ReLU', 65, 76, 76, 42, 0), ('...
SiLU
4,079,753
2,614,316
42
5,205
89.09375
0.886797
0.852679
0.428679
0.130286
25
0
0
1
1
SUCCESSFUL
2.94
3,302.04
9.97
3,314.95
input_channels:3_num_classes:608_depth:27_arch:uniform_base_filters:134_batch:8_input_size:192_act:tanh_dropout:0.23363647991396866_dropout:True_batchnorm:True.out
27
[('conv2d', 134, 192, 192, 8, 3752), ('batchnorm2d', 134, 192, 192, 8, 268), ('Tanh', 134, 192, 192, 8, 0), ('dropout', 134, 192, 192, 8, 0), ('conv2d', 134, 192, 192, 8, 161738), ('batchnorm2d', 134, 192, 192, 8, 268), ('Tanh', 134, 192, 192, 8, 0), ('dropout', 134, 192, 192, 8, 0), ('conv2d', 134, 192, 192, 8, 161738...
Tanh
533,497,158
4,298,256
8
18,095
94.307692
0.931438
0.887214
0.384764
0.023036
27
27
27
1
1
SUCCESSFUL
3.36
40,702.56
16.4
40,722.32
input_channels:3_num_classes:649_depth:26_arch:dense_base_filters:170_batch:48_input_size:210_act:tanh_dropout:0.33639336773418127_dropout:True_batchnorm:False.out
25
[('conv2d', 32, 210, 210, 48, 896), ('Tanh', 32, 210, 210, 48, 0), ('dropout', 32, 210, 210, 48, 0), ('conv2d', 32, 210, 210, 48, 10112), ('Tanh', 32, 210, 210, 48, 0), ('dropout', 32, 210, 210, 48, 0), ('conv2d', 32, 210, 210, 48, 19328), ('Tanh', 32, 210, 210, 48, 0), ('dropout', 32, 210, 210, 48, 0), ('conv2d', 32, ...
Tanh
43,837,403
2,651,734
48
32,079
94.5625
0.913438
0.919118
0.484216
0.118151
25
0
24
1
1
SUCCESSFUL
24
33,459.36
10.12
33,493.48
input_channels:3_num_classes:943_depth:27_arch:gradual_base_filters:339_batch:32_input_size:200_act:swish_dropout:0.2106810531232072_dropout:False_batchnorm:False.out
27
[('conv2d', 339, 200, 200, 32, 9492), ('SiLU', 339, 200, 200, 32, 0), ('conv2d', 350, 200, 200, 32, 1068200), ('SiLU', 350, 200, 200, 32, 0), ('conv2d', 362, 200, 200, 32, 1140662), ('SiLU', 362, 200, 200, 32, 0), ('conv2d', 374, 200, 200, 32, 1218866), ('SiLU', 374, 200, 200, 32, 0), ('conv2d', 387, 200, 200, 32, 1303...
SiLU
1,166,322,691
72,868,039
32
38,847
17
0.0918
0.441
0.129
0.008
27
0
0
1
1
OOM_CRASH
14.72
427,119.68
277.97
427,412.37
input_channels:3_num_classes:568_depth:25_arch:pyramid_base_filters:400_batch:46_input_size:202_act:relu_dropout:0.16131347633282822_dropout:True_batchnorm:True.out
25
[('conv2d', 400, 202, 202, 46, 11200), ('batchnorm2d', 400, 202, 202, 46, 800), ('ReLU', 400, 202, 202, 46, 0), ('dropout', 400, 202, 202, 46, 0), ('conv2d', 427, 202, 202, 46, 1537627), ('batchnorm2d', 427, 202, 202, 46, 854), ('ReLU', 427, 202, 202, 46, 0), ('dropout', 427, 202, 202, 46, 0), ('conv2d', 455, 202, 202,...
ReLU
3,982,636,670
243,336,338
46
37,301
54
0.191167
0.991
0.212
0.004
25
25
25
1
1
OOM_CRASH
21.62
1,747,143.48
928.25
1,748,093.35
input_channels:3_num_classes:911_depth:24_arch:bottleneck_base_filters:340_batch:30_input_size:122_act:prelu_dropout:0.365176415871699_dropout:False_batchnorm:True.out
24
[('conv2d', 680, 122, 122, 30, 19040), ('batchnorm2d', 680, 122, 122, 30, 1360), ('PReLU', 680, 122, 122, 30, 0), ('conv2d', 340, 122, 122, 30, 2081140), ('batchnorm2d', 340, 122, 122, 30, 680), ('PReLU', 340, 122, 122, 30, 0), ('conv2d', 367, 122, 122, 30, 1123387), ('batchnorm2d', 367, 122, 122, 30, 734), ('PReLU', 3...
PReLU
969,130,724
203,664,706
30
39,279
33
0.119
0.329333
0.084333
0.004
24
24
0
1
1
OOM_CRASH
5.1
295,755
776.92
296,537.02
input_channels:3_num_classes:929_depth:17_arch:pyramid_base_filters:363_batch:42_input_size:68_act:tanh_dropout:0.10527885813452978_dropout:False_batchnorm:True.out
17
[('conv2d', 363, 68, 68, 42, 10164), ('batchnorm2d', 363, 68, 68, 42, 726), ('Tanh', 363, 68, 68, 42, 0), ('conv2d', 401, 68, 68, 42, 1310468), ('batchnorm2d', 401, 68, 68, 42, 802), ('Tanh', 401, 68, 68, 42, 0), ('conv2d', 444, 68, 68, 42, 1602840), ('batchnorm2d', 444, 68, 68, 42, 888), ('Tanh', 444, 68, 68, 42, 0), ...
Tanh
218,071,547
146,885,086
42
39,231
93.615385
0.925677
0.982623
0.264226
0.328035
17
17
0
1
1
SUCCESSFUL
2.1
93,169.86
560.32
93,732.28
input_channels:3_num_classes:799_depth:22_arch:gradual_base_filters:348_batch:56_input_size:162_act:leaky_relu_dropout:0.4177925713204562_dropout:False_batchnorm:False.out
22
[('conv2d', 348, 162, 162, 56, 9744), ('LeakyReLU', 348, 162, 162, 56, 0), ('conv2d', 362, 162, 162, 56, 1134146), ('LeakyReLU', 362, 162, 162, 56, 0), ('conv2d', 377, 162, 162, 56, 1228643), ('LeakyReLU', 377, 162, 162, 56, 0), ('conv2d', 392, 162, 162, 56, 1330448), ('LeakyReLU', 392, 162, 162, 56, 0), ('conv2d', 408...
LeakyReLU
633,112,664
60,480,000
56
39,119
26
0.06075
0.001
0.001
0.002
22
0
0
1
1
OOM_CRASH
16.8
405,741.84
230.71
405,989.35
input_channels:3_num_classes:680_depth:16_arch:gradual_base_filters:154_batch:4_input_size:180_act:softplus_dropout:0.27315637017535377_dropout:True_batchnorm:False.out
16
[('conv2d', 154, 180, 180, 4, 4312), ('Softplus', 154, 180, 180, 4, 0), ('dropout', 154, 180, 180, 4, 0), ('conv2d', 166, 180, 180, 4, 230242), ('Softplus', 166, 180, 180, 4, 0), ('dropout', 166, 180, 180, 4, 0), ('conv2d', 181, 180, 180, 4, 270595), ('Softplus', 181, 180, 180, 4, 0), ('dropout', 181, 180, 180, 4, 0), ...
Softplus
469,575,077
13,910,972
4
10,847
93.96875
0.938556
0.924852
0.333296
0.021018
16
0
16
1
1
SUCCESSFUL
1.48
19,107.04
53.07
19,161.59
input_channels:3_num_classes:610_depth:19_arch:bottleneck_base_filters:347_batch:24_input_size:202_act:swish_dropout:0.27524210825385464_dropout:False_batchnorm:True.out
19
[('conv2d', 694, 202, 202, 24, 19432), ('batchnorm2d', 694, 202, 202, 24, 1388), ('SiLU', 694, 202, 202, 24, 0), ('conv2d', 347, 202, 202, 24, 2167709), ('batchnorm2d', 347, 202, 202, 24, 694), ('SiLU', 347, 202, 202, 24, 0), ('conv2d', 382, 202, 202, 24, 1193368), ('batchnorm2d', 382, 202, 202, 24, 764), ('SiLU', 382,...
SiLU
2,092,758,627
154,615,871
24
40,109
38.625
0.2056
0.275667
0.056667
0.014
19
19
0
1
1
OOM_CRASH
11.28
510,927.12
589.81
511,528.21
input_channels:3_num_classes:960_depth:28_arch:pyramid_base_filters:441_batch:34_input_size:216_act:gelu_dropout:0.33406649473430183_dropout:True_batchnorm:True.out
28
[('conv2d', 441, 216, 216, 34, 12348), ('batchnorm2d', 441, 216, 216, 34, 882), ('GELU', 441, 216, 216, 34, 0), ('dropout', 441, 216, 216, 34, 0), ('conv2d', 465, 216, 216, 34, 1846050), ('batchnorm2d', 465, 216, 216, 34, 930), ('GELU', 465, 216, 216, 34, 0), ('dropout', 465, 216, 216, 34, 0), ('conv2d', 492, 216, 216,...
GELU
5,317,481,490
294,025,422
34
39,089
55.222222
0.287
0.997
0.159
0.005333
28
28
28
1
1
OOM_CRASH
18.02
1,724,189.3
1,121.62
1,725,328.94
input_channels:3_num_classes:860_depth:26_arch:gradual_base_filters:420_batch:14_input_size:202_act:softplus_dropout:0.4372224527954164_dropout:True_batchnorm:False.out
26
[('conv2d', 420, 202, 202, 14, 11760), ('Softplus', 420, 202, 202, 14, 0), ('dropout', 420, 202, 202, 14, 0), ('conv2d', 432, 202, 202, 14, 1633392), ('Softplus', 432, 202, 202, 14, 0), ('dropout', 432, 202, 202, 14, 0), ('conv2d', 446, 202, 202, 14, 1734494), ('Softplus', 446, 202, 202, 14, 0), ('dropout', 446, 202, 2...
Softplus
2,006,457,711
94,139,039
14
40,155
41.857143
0.1126
0.094333
0.029333
0.0245
26
0
26
1
1
OOM_CRASH
6.58
285,750.36
359.11
286,116.05
input_channels:3_num_classes:949_depth:24_arch:residual_base_filters:442_batch:34_input_size:48_act:gelu_dropout:0.3996514550843141_dropout:True_batchnorm:False.out
18
[('conv2d', 442, 48, 48, 34, 1768), ('conv2d', 442, 48, 48, 34, 12376), ('GELU', 442, 48, 48, 34, 0), ('dropout', 442, 48, 48, 34, 0), ('conv2d', 442, 48, 48, 34, 1758718), ('GELU', 442, 48, 48, 34, 0), ('dropout', 442, 48, 48, 34, 0), ('conv2d', 471, 24, 24, 34, 208653), ('conv2d', 471, 24, 24, 34, 1874109), ('GELU', ...
GELU
12,321,274
29,097,607
34
4,055
90.859375
0.89019
0.87537
0.346722
0.023945
18
0
12
1
1
SUCCESSFUL
1.02
5,022.14
111
5,134.16
input_channels:3_num_classes:691_depth:21_arch:gradual_base_filters:493_batch:48_input_size:38_act:relu_dropout:0.10927154751205924_dropout:True_batchnorm:True.out
21
[('conv2d', 493, 38, 38, 48, 13804), ('batchnorm2d', 493, 38, 38, 48, 986), ('ReLU', 493, 38, 38, 48, 0), ('dropout', 493, 38, 38, 48, 0), ('conv2d', 510, 38, 38, 48, 2263380), ('batchnorm2d', 510, 38, 38, 48, 1020), ('ReLU', 510, 38, 38, 48, 0), ('dropout', 510, 38, 38, 48, 0), ('conv2d', 527, 38, 38, 48, 2419457), ('...
ReLU
85,660,433
93,535,734
48
18,677
92.030303
0.930266
0.946339
0.270475
0.010296
21
21
21
1
1
SUCCESSFUL
0.96
39,212.16
356.81
39,569.93
input_channels:3_num_classes:584_depth:15_arch:hourglass_base_filters:223_batch:40_input_size:118_act:relu_dropout:0.4012752096743759_dropout:False_batchnorm:False.out
15
[('conv2d', 223, 118, 118, 40, 6244), ('ReLU', 223, 118, 118, 40, 0), ('conv2d', 306, 118, 118, 40, 614448), ('ReLU', 306, 118, 118, 40, 0), ('conv2d', 420, 118, 118, 40, 1157100), ('ReLU', 420, 118, 118, 40, 0), ('conv2d', 576, 118, 118, 40, 2177856), ('ReLU', 576, 118, 118, 40, 0), ('conv2d', 791, 118, 118, 40, 41013...
ReLU
295,301,583
89,111,190
40
38,411
71.466667
0.681385
0.8398
0.2236
0.308875
15
0
0
1
1
OOM_CRASH
6.4
135,178
339.93
135,524.33
input_channels:3_num_classes:810_depth:19_arch:pyramid_base_filters:289_batch:18_input_size:124_act:swish_dropout:0.31187858869553453_dropout:False_batchnorm:True.out
19
[('conv2d', 289, 124, 124, 18, 8092), ('batchnorm2d', 289, 124, 124, 18, 578), ('SiLU', 289, 124, 124, 18, 0), ('conv2d', 320, 124, 124, 18, 832640), ('batchnorm2d', 320, 124, 124, 18, 640), ('SiLU', 320, 124, 124, 18, 0), ('conv2d', 355, 124, 124, 18, 1022755), ('batchnorm2d', 355, 124, 124, 18, 710), ('SiLU', 355, 12...
SiLU
747,046,427
146,558,694
18
39,681
23.6
0.143
0.001
0
0.007
19
19
0
1
1
OOM_CRASH
3.24
136,788.12
559.08
137,350.44
input_channels:3_num_classes:630_depth:24_arch:gradual_base_filters:464_batch:10_input_size:214_act:mish_dropout:0.37093445616810394_dropout:False_batchnorm:True.out
24
[('conv2d', 464, 214, 214, 10, 12992), ('batchnorm2d', 464, 214, 214, 10, 928), ('Mish', 464, 214, 214, 10, 0), ('conv2d', 478, 214, 214, 10, 1996606), ('batchnorm2d', 478, 214, 214, 10, 956), ('Mish', 478, 214, 214, 10, 0), ('conv2d', 493, 214, 214, 10, 2121379), ('batchnorm2d', 493, 214, 214, 10, 986), ('Mish', 493, ...
Mish
2,232,694,593
99,162,999
10
40,117
14.2
0.1154
0.042
0.0165
0.001
24
24
0
1
1
OOM_CRASH
5.2
227,121.4
378.28
227,504.88
input_channels:3_num_classes:727_depth:21_arch:dense_base_filters:385_batch:10_input_size:222_act:softplus_dropout:0.20319321253072442_dropout:False_batchnorm:True.out
21
[('conv2d', 32, 222, 222, 10, 896), ('batchnorm2d', 32, 222, 222, 10, 64), ('Softplus', 32, 222, 222, 10, 0), ('conv2d', 32, 222, 222, 10, 10112), ('batchnorm2d', 32, 222, 222, 10, 64), ('Softplus', 32, 222, 222, 10, 0), ('conv2d', 32, 222, 222, 10, 19328), ('batchnorm2d', 32, 222, 222, 10, 64), ('Softplus', 32, 222, 2...
Softplus
47,462,523
1,895,028
10
8,515
93.53125
0.928794
0.820929
0.417857
0.109793
21
21
0
1
1
SUCCESSFUL
5.6
6,890.5
7.23
6,903.33
input_channels:3_num_classes:861_depth:28_arch:dense_base_filters:262_batch:10_input_size:80_act:swish_dropout:0.33627793906362646_dropout:False_batchnorm:True.out
29
[('conv2d', 32, 80, 80, 10, 896), ('batchnorm2d', 32, 80, 80, 10, 64), ('SiLU', 32, 80, 80, 10, 0), ('conv2d', 32, 80, 80, 10, 10112), ('batchnorm2d', 32, 80, 80, 10, 64), ('SiLU', 32, 80, 80, 10, 0), ('conv2d', 32, 80, 80, 10, 19328), ('batchnorm2d', 32, 80, 80, 10, 64), ('SiLU', 32, 80, 80, 10, 0), ('conv2d', 32, 80,...
SiLU
7,394,555
3,781,120
10
3,171
88.646154
0.881968
0.690204
0.323481
0.025296
29
29
0
1
1
SUCCESSFUL
0.7
1,207.7
14.42
1,222.82
input_channels:3_num_classes:826_depth:22_arch:gradual_base_filters:90_batch:10_input_size:62_act:leaky_relu_dropout:0.4602407392060889_dropout:False_batchnorm:True.out
22
[('conv2d', 90, 62, 62, 10, 2520), ('batchnorm2d', 90, 62, 62, 10, 180), ('LeakyReLU', 90, 62, 62, 10, 0), ('conv2d', 96, 62, 62, 10, 77856), ('batchnorm2d', 96, 62, 62, 10, 192), ('LeakyReLU', 96, 62, 62, 10, 0), ('conv2d', 103, 62, 62, 10, 89095), ('batchnorm2d', 103, 62, 62, 10, 206), ('LeakyReLU', 103, 62, 62, 10, ...
LeakyReLU
53,049,251
9,922,675
10
4,733
94.21875
0.908156
0.866661
0.313929
0.015218
22
22
0
1
1
SUCCESSFUL
0.4
5,396.4
37.85
5,434.65
input_channels:3_num_classes:678_depth:16_arch:dense_base_filters:436_batch:22_input_size:158_act:elu_dropout:0.49450231591879723_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 158, 158, 22, 896), ('ELU', 32, 158, 158, 22, 0), ('dropout', 32, 158, 158, 22, 0), ('conv2d', 32, 158, 158, 22, 10112), ('ELU', 32, 158, 158, 22, 0), ('dropout', 32, 158, 158, 22, 0), ('conv2d', 32, 158, 158, 22, 19328), ('ELU', 32, 158, 158, 22, 0), ('dropout', 32, 158, 158, 22, 0), ('conv2d', 32, 158...
ELU
20,022,933
1,205,840
22
6,827
91.323077
0.912492
0.901509
0.482667
0.122855
17
0
16
1
1
SUCCESSFUL
6.38
6,265.6
4.6
6,276.58
input_channels:3_num_classes:626_depth:24_arch:residual_base_filters:139_batch:50_input_size:192_act:gelu_dropout:0.2272887109901002_dropout:True_batchnorm:False.out
30
[('conv2d', 139, 192, 192, 50, 556), ('conv2d', 139, 192, 192, 50, 3892), ('GELU', 139, 192, 192, 50, 0), ('dropout', 139, 192, 192, 50, 0), ('conv2d', 139, 192, 192, 50, 174028), ('GELU', 139, 192, 192, 50, 0), ('dropout', 139, 192, 192, 50, 0), ('conv2d', 155, 96, 96, 50, 21700), ('conv2d', 155, 96, 96, 50, 194060), ...
GELU
66,480,493
11,632,796
50
19,081
95.328125
0.914203
0.897224
0.436793
0.038393
30
0
20
1
1
SUCCESSFUL
21
39,851.5
44.38
39,916.88
input_channels:3_num_classes:871_depth:18_arch:gradual_base_filters:481_batch:38_input_size:138_act:selu_dropout:0.21709634444792486_dropout:False_batchnorm:True.out
18
[('conv2d', 481, 138, 138, 38, 13468), ('batchnorm2d', 481, 138, 138, 38, 962), ('SELU', 481, 138, 138, 38, 0), ('conv2d', 500, 138, 138, 38, 2165000), ('batchnorm2d', 500, 138, 138, 38, 1000), ('SELU', 500, 138, 138, 38, 0), ('conv2d', 521, 138, 138, 38, 2345021), ('batchnorm2d', 521, 138, 138, 38, 1042), ('SELU', 521...
SELU
711,124,699
76,502,466
38
39,967
33.285714
0.1202
0.4035
0.108
0.016
18
18
0
1
1
OOM_CRASH
8.36
274,889.34
291.83
275,189.53
input_channels:3_num_classes:744_depth:23_arch:bottleneck_base_filters:255_batch:12_input_size:90_act:mish_dropout:0.3056576819916058_dropout:True_batchnorm:True.out
23
[('conv2d', 510, 90, 90, 12, 14280), ('batchnorm2d', 510, 90, 90, 12, 1020), ('Mish', 510, 90, 90, 12, 0), ('dropout', 510, 90, 90, 12, 0), ('conv2d', 255, 90, 90, 12, 1170705), ('batchnorm2d', 255, 90, 90, 12, 510), ('Mish', 255, 90, 90, 12, 0), ('dropout', 255, 90, 90, 12, 0), ('conv2d', 280, 90, 90, 12, 642880), ('b...
Mish
601,055,750
164,066,127
12
35,211
94.353846
0.933266
0.962582
0.228109
0.020481
23
23
23
1
1
SUCCESSFUL
1.08
68,785.32
625.86
69,412.26
input_channels:3_num_classes:762_depth:17_arch:dense_base_filters:91_batch:56_input_size:148_act:softplus_dropout:0.1949870313614993_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 148, 148, 56, 896), ('Softplus', 32, 148, 148, 56, 0), ('conv2d', 32, 148, 148, 56, 10112), ('Softplus', 32, 148, 148, 56, 0), ('conv2d', 32, 148, 148, 56, 19328), ('Softplus', 32, 148, 148, 56, 0), ('conv2d', 32, 148, 148, 56, 28544), ('Softplus', 32, 148, 148, 56, 0), ('conv2d', 65, 148, 148, 56, 8580...
Softplus
12,662,485
1,243,640
56
12,987
92.153846
0.90827
0.875455
0.457327
0.142321
17
0
0
1
1
SUCCESSFUL
14
11,897.76
4.74
11,916.5
input_channels:3_num_classes:555_depth:29_arch:dense_base_filters:90_batch:22_input_size:136_act:leaky_relu_dropout:0.35344707717931323_dropout:True_batchnorm:True.out
29
[('conv2d', 32, 136, 136, 22, 896), ('batchnorm2d', 32, 136, 136, 22, 64), ('LeakyReLU', 32, 136, 136, 22, 0), ('dropout', 32, 136, 136, 22, 0), ('conv2d', 32, 136, 136, 22, 10112), ('batchnorm2d', 32, 136, 136, 22, 64), ('LeakyReLU', 32, 136, 136, 22, 0), ('dropout', 32, 136, 136, 22, 0), ('conv2d', 32, 136, 136, 22, ...
LeakyReLU
27,283,543
3,525,916
22
10,035
93.047619
0.920794
0.818259
0.4115
0.112981
29
29
28
1
1
SUCCESSFUL
4.62
8,671.08
13.45
8,689.15
input_channels:3_num_classes:997_depth:28_arch:gradual_base_filters:510_batch:50_input_size:208_act:tanh_dropout:0.10351772805410314_dropout:True_batchnorm:False.out
28
[('conv2d', 510, 208, 208, 50, 14280), ('Tanh', 510, 208, 208, 50, 0), ('dropout', 510, 208, 208, 50, 0), ('conv2d', 522, 208, 208, 50, 2396502), ('Tanh', 522, 208, 208, 50, 0), ('dropout', 522, 208, 208, 50, 0), ('conv2d', 535, 208, 208, 50, 2513965), ('Tanh', 535, 208, 208, 50, 0), ('dropout', 535, 208, 208, 50, 0), ...
Tanh
2,641,659,566
133,818,614
50
37,001
37.833333
0.1456
0
0
0.180333
28
0
28
1
1
OOM_CRASH
25
1,343,617
510.48
1,344,152.48
input_channels:3_num_classes:541_depth:28_arch:gradual_base_filters:143_batch:62_input_size:160_act:tanh_dropout:0.3892361542231405_dropout:False_batchnorm:False.out
28
[('conv2d', 143, 160, 160, 62, 4004), ('Tanh', 143, 160, 160, 62, 0), ('conv2d', 149, 160, 160, 62, 191912), ('Tanh', 149, 160, 160, 62, 0), ('conv2d', 157, 160, 160, 62, 210694), ('Tanh', 157, 160, 160, 62, 0), ('conv2d', 164, 160, 160, 62, 231896), ('Tanh', 164, 160, 160, 62, 0), ('conv2d', 172, 160, 160, 62, 254044)...
Tanh
418,100,798
23,490,178
62
39,253
34.375
0.1072
0.161
0.069
0.0065
28
0
0
1
1
OOM_CRASH
17.98
296,656.36
89.61
296,763.95
input_channels:3_num_classes:706_depth:25_arch:uniform_base_filters:282_batch:8_input_size:62_act:prelu_dropout:0.13852366223785717_dropout:False_batchnorm:True.out
25
[('conv2d', 282, 62, 62, 8, 7896), ('batchnorm2d', 282, 62, 62, 8, 564), ('PReLU', 282, 62, 62, 8, 0), ('conv2d', 282, 62, 62, 8, 715998), ('batchnorm2d', 282, 62, 62, 8, 564), ('PReLU', 282, 62, 62, 8, 0), ('conv2d', 282, 62, 62, 8, 715998), ('batchnorm2d', 282, 62, 62, 8, 564), ('PReLU', 282, 62, 62, 8, 0), ('conv2d'...
PReLU
81,302,294
17,405,746
8
5,211
93.4
0.912266
0.891453
0.325377
0.013741
25
25
0
1
1
SUCCESSFUL
0.32
6,616.4
66.4
6,683.12
input_channels:3_num_classes:665_depth:17_arch:dense_base_filters:325_batch:60_input_size:84_act:prelu_dropout:0.45836260758461467_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 84, 84, 60, 896), ('PReLU', 32, 84, 84, 60, 0), ('dropout', 32, 84, 84, 60, 0), ('conv2d', 32, 84, 84, 60, 10112), ('PReLU', 32, 84, 84, 60, 0), ('dropout', 32, 84, 84, 60, 0), ('conv2d', 32, 84, 84, 60, 19328), ('PReLU', 32, 84, 84, 60, 0), ('dropout', 32, 84, 84, 60, 0), ('conv2d', 32, 84, 84, 60, 285...
PReLU
5,660,691
1,199,990
60
5,633
86.78125
0.850578
0.818058
0.423596
0.126283
17
0
16
1
1
SUCCESSFUL
4.8
4,830.6
4.58
4,839.98
input_channels:3_num_classes:777_depth:19_arch:bottleneck_base_filters:82_batch:48_input_size:166_act:relu_dropout:0.3962006625877318_dropout:True_batchnorm:True.out
19
[('conv2d', 164, 166, 166, 48, 4592), ('batchnorm2d', 164, 166, 166, 48, 328), ('ReLU', 164, 166, 166, 48, 0), ('dropout', 164, 166, 166, 48, 0), ('conv2d', 82, 166, 166, 48, 121114), ('batchnorm2d', 82, 166, 166, 48, 164), ('ReLU', 82, 166, 166, 48, 0), ('dropout', 82, 166, 166, 48, 0), ('conv2d', 98, 166, 166, 48, 72...
ReLU
1,124,067,618
74,663,247
48
39,667
28.5
0.08
0.247
0.107
0
19
19
19
1
1
OOM_CRASH
15.36
514,557.12
284.82
514,857.3
input_channels:3_num_classes:880_depth:22_arch:dense_base_filters:97_batch:54_input_size:44_act:prelu_dropout:0.4893746902985828_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 44, 44, 54, 896), ('PReLU', 32, 44, 44, 54, 0), ('conv2d', 32, 44, 44, 54, 10112), ('PReLU', 32, 44, 44, 54, 0), ('conv2d', 32, 44, 44, 54, 19328), ('PReLU', 32, 44, 44, 54, 0), ('conv2d', 32, 44, 44, 54, 28544), ('PReLU', 32, 44, 44, 54, 0), ('conv2d', 65, 44, 44, 54, 8580), ('ReLU', 65, 44, 44, 54, 0)...
PReLU
1,245,249
1,982,052
54
3,053
78.703125
0.767781
0.692259
0.333833
0.041352
21
0
0
1
1
SUCCESSFUL
1.08
1,206.36
7.56
1,215
input_channels:3_num_classes:890_depth:17_arch:dense_base_filters:280_batch:18_input_size:78_act:gelu_dropout:0.38704688589771274_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 78, 78, 18, 896), ('batchnorm2d', 32, 78, 78, 18, 64), ('GELU', 32, 78, 78, 18, 0), ('conv2d', 32, 78, 78, 18, 10112), ('batchnorm2d', 32, 78, 78, 18, 64), ('GELU', 32, 78, 78, 18, 0), ('conv2d', 32, 78, 78, 18, 19328), ('batchnorm2d', 32, 78, 78, 18, 64), ('GELU', 32, 78, 78, 18, 0), ('conv2d', 32, 78,...
GELU
5,277,057
1,302,394
18
2,839
87
0.842587
0.65649
0.294314
0.102161
17
17
0
1
1
SUCCESSFUL
1.26
1,303.92
4.97
1,310.15
input_channels:3_num_classes:746_depth:27_arch:bottleneck_base_filters:429_batch:46_input_size:214_act:relu_dropout:0.3732839184822435_dropout:False_batchnorm:True.out
27
[('conv2d', 858, 214, 214, 46, 24024), ('batchnorm2d', 858, 214, 214, 46, 1716), ('ReLU', 858, 214, 214, 46, 0), ('conv2d', 429, 214, 214, 46, 3313167), ('batchnorm2d', 429, 214, 214, 46, 858), ('ReLU', 429, 214, 214, 46, 0), ('conv2d', 455, 214, 214, 46, 1757210), ('batchnorm2d', 455, 214, 214, 46, 910), ('ReLU', 455,...
ReLU
3,705,769,944
269,086,317
46
38,021
43.571429
0.179167
0.482
0.1025
0.011
27
27
0
1
1
OOM_CRASH
23.92
1,734,063.38
1,026.48
1,735,113.78
input_channels:3_num_classes:969_depth:16_arch:pyramid_base_filters:504_batch:44_input_size:104_act:selu_dropout:0.14265877404187366_dropout:True_batchnorm:False.out
16
[('conv2d', 504, 104, 104, 44, 14112), ('SELU', 504, 104, 104, 44, 0), ('dropout', 504, 104, 104, 44, 0), ('conv2d', 550, 104, 104, 44, 2495350), ('SELU', 550, 104, 104, 44, 0), ('dropout', 550, 104, 104, 44, 0), ('conv2d', 600, 104, 104, 44, 2970600), ('SELU', 600, 104, 104, 44, 0), ('dropout', 600, 104, 104, 44, 0), ...
SELU
546,817,510
169,215,856
44
39,741
35
0.1555
0
0
0
16
0
16
1
1
OOM_CRASH
5.28
244,750.44
645.51
245,401.23
input_channels:3_num_classes:637_depth:21_arch:pyramid_base_filters:446_batch:10_input_size:90_act:mish_dropout:0.2301846342724402_dropout:True_batchnorm:False.out
21
[('conv2d', 446, 90, 90, 10, 12488), ('Mish', 446, 90, 90, 10, 0), ('dropout', 446, 90, 90, 10, 0), ('conv2d', 479, 90, 90, 10, 1923185), ('Mish', 479, 90, 90, 10, 0), ('dropout', 479, 90, 90, 10, 0), ('conv2d', 515, 90, 90, 10, 2220680), ('Mish', 515, 90, 90, 10, 0), ('dropout', 515, 90, 90, 10, 0), ('conv2d', 554, 90...
Mish
516,864,178
213,450,660
10
27,289
93.848485
0.942359
0.981582
0.213491
0.01514
21
0
21
1
1
SUCCESSFUL
0.9
52,578.1
814.25
53,393.25
input_channels:3_num_classes:886_depth:22_arch:bottleneck_base_filters:143_batch:12_input_size:70_act:mish_dropout:0.3622668964535197_dropout:True_batchnorm:False.out
22
[('conv2d', 286, 70, 70, 12, 8008), ('Mish', 286, 70, 70, 12, 0), ('dropout', 286, 70, 70, 12, 0), ('conv2d', 143, 70, 70, 12, 368225), ('Mish', 143, 70, 70, 12, 0), ('dropout', 143, 70, 70, 12, 0), ('conv2d', 162, 70, 70, 12, 208656), ('Mish', 162, 70, 70, 12, 0), ('dropout', 162, 70, 70, 12, 0), ('conv2d', 184, 70, 7...
Mish
211,301,376
116,415,570
12
22,333
95.8
0.932516
0.958536
0.231554
0.017685
22
0
22
1
1
SUCCESSFUL
0.72
25,793.52
444.09
26,238.33
input_channels:3_num_classes:988_depth:28_arch:uniform_base_filters:340_batch:30_input_size:46_act:selu_dropout:0.38119588288910244_dropout:True_batchnorm:False.out
28
[('conv2d', 340, 46, 46, 30, 9520), ('SELU', 340, 46, 46, 30, 0), ('dropout', 340, 46, 46, 30, 0), ('conv2d', 340, 46, 46, 30, 1040740), ('SELU', 340, 46, 46, 30, 0), ('dropout', 340, 46, 46, 30, 0), ('conv2d', 340, 46, 46, 30, 1040740), ('SELU', 340, 46, 46, 30, 0), ('dropout', 340, 46, 46, 30, 0), ('conv2d', 340, 46,...
SELU
60,435,276
28,446,408
30
7,865
93.171875
0.933921
0.948145
0.3032
0.01634
28
0
28
1
1
SUCCESSFUL
0.6
18,443.1
108.51
18,552.21
input_channels:3_num_classes:685_depth:27_arch:residual_base_filters:304_batch:60_input_size:42_act:selu_dropout:0.4335691935341356_dropout:True_batchnorm:True.out
18
[('conv2d', 304, 42, 42, 60, 1216), ('batchnorm2d', 304, 42, 42, 60, 608), ('conv2d', 304, 42, 42, 60, 8512), ('batchnorm2d', 304, 42, 42, 60, 608), ('SELU', 304, 42, 42, 60, 0), ('dropout', 304, 42, 42, 60, 0), ('conv2d', 304, 42, 42, 60, 832048), ('batchnorm2d', 304, 42, 42, 60, 608), ('SELU', 304, 42, 42, 60, 0), ('...
SELU
9,442,422
14,319,835
60
4,695
86.234375
0.853889
0.788691
0.356473
0.033
18
18
12
1
1
SUCCESSFUL
1.2
5,619
54.63
5,674.83
input_channels:3_num_classes:707_depth:22_arch:hourglass_base_filters:208_batch:56_input_size:168_act:selu_dropout:0.14052730764659424_dropout:True_batchnorm:False.out
22
[('conv2d', 208, 168, 168, 56, 5824), ('SELU', 208, 168, 168, 56, 0), ('dropout', 208, 168, 168, 56, 0), ('conv2d', 256, 168, 168, 56, 479488), ('SELU', 256, 168, 168, 56, 0), ('dropout', 256, 168, 168, 56, 0), ('conv2d', 315, 168, 168, 56, 726075), ('SELU', 315, 168, 168, 56, 0), ('dropout', 315, 168, 168, 56, 0), ('c...
SELU
1,347,641,174
142,034,990
56
38,407
40.333333
0.0716
0.478
0.115
0.004
22
0
22
1
1
OOM_CRASH
17.92
767,698.96
541.82
768,258.7
input_channels:3_num_classes:711_depth:21_arch:bottleneck_base_filters:484_batch:14_input_size:188_act:elu_dropout:0.23539218363449452_dropout:True_batchnorm:True.out
21
[('conv2d', 968, 188, 188, 14, 27104), ('batchnorm2d', 968, 188, 188, 14, 1936), ('ELU', 968, 188, 188, 14, 0), ('dropout', 968, 188, 188, 14, 0), ('conv2d', 484, 188, 188, 14, 4217092), ('batchnorm2d', 484, 188, 188, 14, 968), ('ELU', 484, 188, 188, 14, 0), ('dropout', 484, 188, 188, 14, 0), ('conv2d', 520, 188, 188, ...
ELU
3,091,896,447
217,210,887
14
38,935
51.333333
0.114
0.39
0.085667
0.019
21
21
21
1
1
OOM_CRASH
5.6
412,812.68
828.59
413,646.87
input_channels:3_num_classes:541_depth:28_arch:residual_base_filters:211_batch:24_input_size:84_act:relu_dropout:0.14522361544272241_dropout:False_batchnorm:True.out
24
[('conv2d', 211, 84, 84, 24, 844), ('batchnorm2d', 211, 84, 84, 24, 422), ('conv2d', 211, 84, 84, 24, 5908), ('batchnorm2d', 211, 84, 84, 24, 422), ('ReLU', 211, 84, 84, 24, 0), ('conv2d', 211, 84, 84, 24, 400900), ('batchnorm2d', 211, 84, 84, 24, 422), ('ReLU', 211, 84, 84, 24, 0), ('conv2d', 228, 42, 42, 24, 48336), ...
ReLU
21,350,022
12,042,915
24
4,681
89.092308
0.904571
0.848547
0.38134
0.025426
24
24
0
1
1
SUCCESSFUL
1.92
5,375.28
45.94
5,423.14
input_channels:3_num_classes:602_depth:25_arch:hourglass_base_filters:170_batch:20_input_size:36_act:elu_dropout:0.2930957889094742_dropout:False_batchnorm:True.out
25
[('conv2d', 170, 36, 36, 20, 4760), ('batchnorm2d', 170, 36, 36, 20, 340), ('ELU', 170, 36, 36, 20, 0), ('conv2d', 209, 36, 36, 20, 319979), ('batchnorm2d', 209, 36, 36, 20, 418), ('ELU', 209, 36, 36, 20, 0), ('conv2d', 257, 36, 36, 20, 483674), ('batchnorm2d', 257, 36, 36, 20, 514), ('ELU', 257, 36, 36, 20, 0), ('conv...
ELU
66,249,006
150,574,443
20
10,455
94.569231
0.926375
0.953423
0.240019
0.013
25
25
0
1
1
SUCCESSFUL
0.2
13,478.4
574.4
14,053
input_channels:3_num_classes:947_depth:23_arch:uniform_base_filters:148_batch:22_input_size:102_act:tanh_dropout:0.20222479019201178_dropout:True_batchnorm:False.out
23
[('conv2d', 148, 102, 102, 22, 4144), ('Tanh', 148, 102, 102, 22, 0), ('dropout', 148, 102, 102, 22, 0), ('conv2d', 148, 102, 102, 22, 197284), ('Tanh', 148, 102, 102, 22, 0), ('dropout', 148, 102, 102, 22, 0), ('conv2d', 148, 102, 102, 22, 197284), ('Tanh', 148, 102, 102, 22, 0), ('dropout', 148, 102, 102, 22, 0), ('c...
Tanh
106,247,690
4,485,495
22
9,895
95.359375
0.914641
0.956453
0.365057
0.015519
23
0
23
1
1
SUCCESSFUL
2.64
23,777.6
17.11
23,797.35
input_channels:3_num_classes:538_depth:19_arch:bottleneck_base_filters:411_batch:34_input_size:190_act:mish_dropout:0.25703956463869293_dropout:False_batchnorm:False.out
19
[('conv2d', 822, 190, 190, 34, 23016), ('Mish', 822, 190, 190, 34, 0), ('conv2d', 411, 190, 190, 34, 3040989), ('Mish', 411, 190, 190, 34, 0), ('conv2d', 449, 190, 190, 34, 1661300), ('Mish', 449, 190, 190, 34, 0), ('conv2d', 491, 190, 190, 34, 1984622), ('Mish', 491, 190, 190, 34, 0), ('conv2d', 537, 190, 190, 34, 237...
Mish
1,325,450,549
172,227,576
34
39,771
32.666667
0.2218
0.303
0.062667
0.0185
19
0
0
1
1
OOM_CRASH
13.94
515,731.38
657
516,402.32
input_channels:3_num_classes:582_depth:15_arch:bottleneck_base_filters:454_batch:34_input_size:118_act:relu_dropout:0.3663207416438604_dropout:False_batchnorm:False.out
15
[('conv2d', 908, 118, 118, 34, 25424), ('ReLU', 908, 118, 118, 34, 0), ('conv2d', 454, 118, 118, 34, 3710542), ('ReLU', 454, 118, 118, 34, 0), ('conv2d', 505, 118, 118, 34, 2063935), ('ReLU', 505, 118, 118, 34, 0), ('conv2d', 563, 118, 118, 34, 2559398), ('ReLU', 563, 118, 118, 34, 0), ('conv2d', 626, 118, 118, 34, 317...
ReLU
415,801,491
137,245,938
34
40,097
32.571429
0.275
0.681
0.163
0.0515
15
0
0
1
1
OOM_CRASH
5.44
161,787.64
523.55
162,316.63
input_channels:3_num_classes:593_depth:27_arch:residual_base_filters:396_batch:10_input_size:134_act:prelu_dropout:0.10003309054852033_dropout:True_batchnorm:False.out
30
[('conv2d', 396, 134, 134, 10, 1584), ('conv2d', 396, 134, 134, 10, 11088), ('PReLU', 396, 134, 134, 10, 0), ('dropout', 396, 134, 134, 10, 0), ('conv2d', 396, 134, 134, 10, 1411740), ('PReLU', 396, 134, 134, 10, 0), ('dropout', 396, 134, 134, 10, 0), ('conv2d', 420, 67, 67, 10, 166740), ('conv2d', 420, 67, 67, 10, 149...
PReLU
88,015,691
51,901,625
10
6,643
93.092308
0.932524
0.8792
0.354019
0.016481
30
0
20
1
1
SUCCESSFUL
2.1
10,552.2
197.99
10,752.29
input_channels:3_num_classes:997_depth:24_arch:gradual_base_filters:175_batch:14_input_size:110_act:mish_dropout:0.385754863756549_dropout:False_batchnorm:True.out
24
[('conv2d', 175, 110, 110, 14, 4900), ('batchnorm2d', 175, 110, 110, 14, 350), ('Mish', 175, 110, 110, 14, 0), ('conv2d', 184, 110, 110, 14, 289984), ('batchnorm2d', 184, 110, 110, 14, 368), ('Mish', 184, 110, 110, 14, 0), ('conv2d', 193, 110, 110, 14, 319801), ('batchnorm2d', 193, 110, 110, 14, 386), ('Mish', 193, 110...
Mish
292,072,362
26,237,327
14
26,693
94.630769
0.941905
0.924741
0.303811
0.038093
24
24
0
1
1
SUCCESSFUL
1.96
41,595.54
100.09
41,697.59
input_channels:3_num_classes:891_depth:21_arch:bottleneck_base_filters:491_batch:58_input_size:144_act:gelu_dropout:0.3170383282268375_dropout:True_batchnorm:False.out
21
[('conv2d', 982, 144, 144, 58, 27496), ('GELU', 982, 144, 144, 58, 0), ('dropout', 982, 144, 144, 58, 0), ('conv2d', 491, 144, 144, 58, 4339949), ('GELU', 491, 144, 144, 58, 0), ('dropout', 491, 144, 144, 58, 0), ('conv2d', 527, 144, 144, 58, 2329340), ('GELU', 527, 144, 144, 58, 0), ('dropout', 527, 144, 144, 58, 0), ...
GELU
1,369,139,560
219,716,383
58
40,215
15.75
0.1006
0.308333
0.078
0.015
21
0
21
1
1
OOM_CRASH
13.92
807,800.8
838.15
808,652.87
input_channels:3_num_classes:814_depth:28_arch:hourglass_base_filters:265_batch:14_input_size:100_act:elu_dropout:0.14598730671551402_dropout:True_batchnorm:True.out
28
[('conv2d', 265, 100, 100, 14, 7420), ('batchnorm2d', 265, 100, 100, 14, 530), ('ELU', 265, 100, 100, 14, 0), ('dropout', 265, 100, 100, 14, 0), ('conv2d', 306, 100, 100, 14, 730116), ('batchnorm2d', 306, 100, 100, 14, 612), ('ELU', 306, 100, 100, 14, 0), ('dropout', 306, 100, 100, 14, 0), ('conv2d', 354, 100, 100, 14,...
ELU
906,401,893
216,240,746
14
40,225
44.75
0.179
0.6335
0.1355
0.030333
28
28
28
1
1
OOM_CRASH
1.54
121,017.68
824.89
121,844.11
input_channels:3_num_classes:603_depth:22_arch:dense_base_filters:405_batch:8_input_size:148_act:mish_dropout:0.4605520426003593_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 148, 148, 8, 896), ('Mish', 32, 148, 148, 8, 0), ('conv2d', 32, 148, 148, 8, 10112), ('Mish', 32, 148, 148, 8, 0), ('conv2d', 32, 148, 148, 8, 19328), ('Mish', 32, 148, 148, 8, 0), ('conv2d', 32, 148, 148, 8, 28544), ('Mish', 32, 148, 148, 8, 0), ('conv2d', 65, 148, 148, 8, 8580), ('ReLU', 65, 148, 148,...
Mish
14,064,151
1,821,946
8
3,927
90.65625
0.907111
0.831836
0.412091
0.125982
21
0
0
1
1
SUCCESSFUL
2
2,020.88
6.95
2,029.83
input_channels:3_num_classes:808_depth:23_arch:bottleneck_base_filters:94_batch:18_input_size:106_act:prelu_dropout:0.4347390973599665_dropout:True_batchnorm:True.out
23
[('conv2d', 188, 106, 106, 18, 5264), ('batchnorm2d', 188, 106, 106, 18, 376), ('PReLU', 188, 106, 106, 18, 0), ('dropout', 188, 106, 106, 18, 0), ('conv2d', 94, 106, 106, 18, 159142), ('batchnorm2d', 94, 106, 106, 18, 188), ('PReLU', 94, 106, 106, 18, 0), ('dropout', 94, 106, 106, 18, 0), ('conv2d', 108, 106, 106, 18,...
PReLU
592,095,652
102,741,026
18
40,345
41.2
0.100667
0.305
0.067
0.012
23
23
23
1
1
OOM_CRASH
2.34
101,639.88
391.93
102,034.15
input_channels:3_num_classes:876_depth:17_arch:dense_base_filters:245_batch:54_input_size:44_act:mish_dropout:0.23060966757733545_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 44, 44, 54, 896), ('batchnorm2d', 32, 44, 44, 54, 64), ('Mish', 32, 44, 44, 54, 0), ('conv2d', 32, 44, 44, 54, 10112), ('batchnorm2d', 32, 44, 44, 54, 64), ('Mish', 32, 44, 44, 54, 0), ('conv2d', 32, 44, 44, 54, 19328), ('batchnorm2d', 32, 44, 44, 54, 64), ('Mish', 32, 44, 44, 54, 0), ('conv2d', 32, 44,...
Mish
1,680,713
1,296,094
54
2,871
74.692308
0.734766
0.584196
0.26425
0.056143
17
17
0
1
1
SUCCESSFUL
1.08
1,245.24
4.94
1,251.26
input_channels:3_num_classes:622_depth:18_arch:hourglass_base_filters:191_batch:8_input_size:122_act:leaky_relu_dropout:0.40521720062535804_dropout:False_batchnorm:True.out
18
[('conv2d', 191, 122, 122, 8, 5348), ('batchnorm2d', 191, 122, 122, 8, 382), ('LeakyReLU', 191, 122, 122, 8, 0), ('conv2d', 248, 122, 122, 8, 426560), ('batchnorm2d', 248, 122, 122, 8, 496), ('LeakyReLU', 248, 122, 122, 8, 0), ('conv2d', 323, 122, 122, 8, 721259), ('batchnorm2d', 323, 122, 122, 8, 646), ('LeakyReLU', 3...
LeakyReLU
549,488,947
104,650,122
8
25,211
93.619048
0.925844
0.96663
0.211426
0.007534
18
18
0
1
1
SUCCESSFUL
1.36
44,717.52
399.21
45,118.09
input_channels:3_num_classes:944_depth:29_arch:hourglass_base_filters:388_batch:30_input_size:210_act:prelu_dropout:0.32777504814202674_dropout:False_batchnorm:True.out
29
[('conv2d', 388, 210, 210, 30, 10864), ('batchnorm2d', 388, 210, 210, 30, 776), ('PReLU', 388, 210, 210, 30, 0), ('conv2d', 436, 210, 210, 30, 1522948), ('batchnorm2d', 436, 210, 210, 30, 872), ('PReLU', 436, 210, 210, 30, 0), ('conv2d', 492, 210, 210, 30, 1931100), ('batchnorm2d', 492, 210, 210, 30, 984), ('PReLU', 49...
PReLU
3,611,263,076
279,440,491
30
37,397
52.666667
0.209667
0.2345
0.053
0.0045
29
29
0
1
1
OOM_CRASH
15
1,102,069.8
1,065.98
1,103,150.78
input_channels:3_num_classes:976_depth:21_arch:dense_base_filters:447_batch:44_input_size:152_act:gelu_dropout:0.11660081361315036_dropout:True_batchnorm:False.out
21
[('conv2d', 32, 152, 152, 44, 896), ('GELU', 32, 152, 152, 44, 0), ('dropout', 32, 152, 152, 44, 0), ('conv2d', 32, 152, 152, 44, 10112), ('GELU', 32, 152, 152, 44, 0), ('dropout', 32, 152, 152, 44, 0), ('conv2d', 32, 152, 152, 44, 19328), ('GELU', 32, 152, 152, 44, 0), ('dropout', 32, 152, 152, 44, 0), ('conv2d', 32, ...
GELU
20,749,921
2,037,540
44
14,827
95.444444
0.918683
0.883571
0.468089
0.123554
21
0
20
1
1
SUCCESSFUL
11.44
13,709.52
7.77
13,728.73
input_channels:3_num_classes:774_depth:26_arch:dense_base_filters:449_batch:48_input_size:124_act:relu_dropout:0.27724366166416214_dropout:False_batchnorm:False.out
25
[('conv2d', 32, 124, 124, 48, 896), ('ReLU', 32, 124, 124, 48, 0), ('conv2d', 32, 124, 124, 48, 10112), ('ReLU', 32, 124, 124, 48, 0), ('conv2d', 32, 124, 124, 48, 19328), ('ReLU', 32, 124, 124, 48, 0), ('conv2d', 32, 124, 124, 48, 28544), ('ReLU', 32, 124, 124, 48, 0), ('conv2d', 65, 124, 124, 48, 8580), ('ReLU', 65, ...
ReLU
10,857,709
2,739,984
48
14,517
93.323077
0.922397
0.904286
0.478786
0.111655
25
0
0
1
1
SUCCESSFUL
8.64
10,044.96
10.45
10,064.05
input_channels:3_num_classes:759_depth:18_arch:dense_base_filters:335_batch:16_input_size:182_act:selu_dropout:0.37187184867330325_dropout:True_batchnorm:True.out
17
[('conv2d', 32, 182, 182, 16, 896), ('batchnorm2d', 32, 182, 182, 16, 64), ('SELU', 32, 182, 182, 16, 0), ('dropout', 32, 182, 182, 16, 0), ('conv2d', 32, 182, 182, 16, 10112), ('batchnorm2d', 32, 182, 182, 16, 64), ('SELU', 32, 182, 182, 16, 0), ('dropout', 32, 182, 182, 16, 0), ('conv2d', 32, 182, 182, 16, 19328), ('...
SELU
36,140,251
1,243,444
16
7,413
93.15625
0.902781
0.795093
0.398963
0.107273
17
17
16
1
1
SUCCESSFUL
6.08
7,214.72
4.74
7,225.54
input_channels:3_num_classes:967_depth:28_arch:gradual_base_filters:361_batch:54_input_size:186_act:elu_dropout:0.10775129072246022_dropout:True_batchnorm:False.out
28
[('conv2d', 361, 186, 186, 54, 10108), ('ELU', 361, 186, 186, 54, 0), ('dropout', 361, 186, 186, 54, 0), ('conv2d', 372, 186, 186, 54, 1209000), ('ELU', 372, 186, 186, 54, 0), ('dropout', 372, 186, 186, 54, 0), ('conv2d', 384, 186, 186, 54, 1286016), ('ELU', 384, 186, 186, 54, 0), ('dropout', 384, 186, 186, 54, 0), ('c...
ELU
1,643,381,959
82,664,451
54
38,585
44.5
0.0734
0.4685
0.1295
0
28
0
28
1
1
OOM_CRASH
21.6
902,736.36
315.34
903,073.3
input_channels:3_num_classes:543_depth:20_arch:residual_base_filters:160_batch:34_input_size:160_act:prelu_dropout:0.4519950671825036_dropout:True_batchnorm:True.out
30
[('conv2d', 160, 160, 160, 34, 640), ('batchnorm2d', 160, 160, 160, 34, 320), ('conv2d', 160, 160, 160, 34, 4480), ('batchnorm2d', 160, 160, 160, 34, 320), ('PReLU', 160, 160, 160, 34, 0), ('dropout', 160, 160, 160, 34, 0), ('conv2d', 160, 160, 160, 34, 230560), ('batchnorm2d', 160, 160, 160, 34, 320), ('PReLU', 160, 1...
PReLU
77,268,339
18,534,214
34
14,577
95.222222
0.905891
0.885456
0.416158
0.033246
30
30
20
1
1
SUCCESSFUL
9.86
26,056.24
70.7
26,136.8
input_channels:3_num_classes:790_depth:29_arch:uniform_base_filters:302_batch:48_input_size:124_act:tanh_dropout:0.35985564721456087_dropout:True_batchnorm:True.out
29
[('conv2d', 302, 124, 124, 48, 8456), ('batchnorm2d', 302, 124, 124, 48, 604), ('Tanh', 302, 124, 124, 48, 0), ('dropout', 302, 124, 124, 48, 0), ('conv2d', 302, 124, 124, 48, 821138), ('batchnorm2d', 302, 124, 124, 48, 604), ('Tanh', 302, 124, 124, 48, 0), ('dropout', 302, 124, 124, 48, 0), ('conv2d', 302, 124, 124, 4...
Tanh
538,653,914
23,257,206
48
39,519
37.666667
0.11075
0.003
0.001
0
29
29
29
1
1
OOM_CRASH
8.64
246,576
88.72
246,673.36
input_channels:3_num_classes:716_depth:16_arch:uniform_base_filters:231_batch:52_input_size:94_act:mish_dropout:0.2616497211953955_dropout:True_batchnorm:True.out
16
[('conv2d', 231, 94, 94, 52, 6468), ('batchnorm2d', 231, 94, 94, 52, 462), ('Mish', 231, 94, 94, 52, 0), ('dropout', 231, 94, 94, 52, 0), ('conv2d', 231, 94, 94, 52, 480480), ('batchnorm2d', 231, 94, 94, 52, 462), ('Mish', 231, 94, 94, 52, 0), ('dropout', 231, 94, 94, 52, 0), ('conv2d', 231, 94, 94, 52, 480480), ('batc...
Mish
130,633,087
7,387,172
52
25,877
93.921875
0.93881
0.907547
0.405208
0.054091
16
16
16
1
1
SUCCESSFUL
5.2
64,782.12
28.18
64,815.5
input_channels:3_num_classes:784_depth:19_arch:residual_base_filters:396_batch:30_input_size:214_act:mish_dropout:0.3181247437800705_dropout:False_batchnorm:True.out
27
[('conv2d', 396, 214, 214, 30, 1584), ('batchnorm2d', 396, 214, 214, 30, 792), ('conv2d', 396, 214, 214, 30, 11088), ('batchnorm2d', 396, 214, 214, 30, 792), ('Mish', 396, 214, 214, 30, 0), ('conv2d', 396, 214, 214, 30, 1411740), ('batchnorm2d', 396, 214, 214, 30, 792), ('Mish', 396, 214, 214, 30, 0), ('conv2d', 431, 1...
Mish
262,427,414
55,633,428
30
39,327
94.292308
0.927857
0.920691
0.349891
0.041109
27
27
0
1
1
SUCCESSFUL
15.6
82,589.1
212.22
82,816.92
input_channels:3_num_classes:782_depth:26_arch:gradual_base_filters:74_batch:60_input_size:132_act:elu_dropout:0.3441738132512452_dropout:True_batchnorm:False.out
26
[('conv2d', 74, 132, 132, 60, 2072), ('ELU', 74, 132, 132, 60, 0), ('dropout', 74, 132, 132, 60, 0), ('conv2d', 78, 132, 132, 60, 52026), ('ELU', 78, 132, 132, 60, 0), ('dropout', 78, 132, 132, 60, 0), ('conv2d', 84, 132, 132, 60, 59052), ('ELU', 84, 132, 132, 60, 0), ('dropout', 84, 132, 132, 60, 0), ('conv2d', 89, 13...
ELU
249,234,825
9,255,259
60
40,191
37.666667
0.10875
0
0
0
26
0
26
1
1
OOM_CRASH
12
152,120.4
35.31
152,167.71
input_channels:3_num_classes:662_depth:16_arch:uniform_base_filters:72_batch:50_input_size:82_act:leaky_relu_dropout:0.11211466458099872_dropout:True_batchnorm:True.out
16
[('conv2d', 72, 82, 82, 50, 2016), ('batchnorm2d', 72, 82, 82, 50, 144), ('LeakyReLU', 72, 82, 82, 50, 0), ('dropout', 72, 82, 82, 50, 0), ('conv2d', 72, 82, 82, 50, 46728), ('batchnorm2d', 72, 82, 82, 50, 144), ('LeakyReLU', 72, 82, 82, 50, 0), ('dropout', 72, 82, 82, 50, 0), ('conv2d', 72, 82, 82, 50, 46728), ('batch...
LeakyReLU
30,985,588
753,566
50
7,275
90.953125
0.892563
0.825321
0.348768
0.023636
16
16
16
1
1
SUCCESSFUL
4
14,775
2.87
14,781.87
input_channels:3_num_classes:953_depth:16_arch:pyramid_base_filters:510_batch:54_input_size:114_act:relu_dropout:0.22961523815911633_dropout:True_batchnorm:True.out
16
[('conv2d', 510, 114, 114, 54, 14280), ('batchnorm2d', 510, 114, 114, 54, 1020), ('ReLU', 510, 114, 114, 54, 0), ('dropout', 510, 114, 114, 54, 0), ('conv2d', 556, 114, 114, 54, 2552596), ('batchnorm2d', 556, 114, 114, 54, 1112), ('ReLU', 556, 114, 114, 54, 0), ('dropout', 556, 114, 114, 54, 0), ('conv2d', 606, 114, 11...
ReLU
880,248,855
170,570,940
54
39,001
35.4
0.11725
0
0
0.001
16
16
16
1
1
OOM_CRASH
8.1
453,313.8
650.68
453,972.58
input_channels:3_num_classes:879_depth:24_arch:bottleneck_base_filters:459_batch:26_input_size:36_act:relu_dropout:0.41452705555648905_dropout:True_batchnorm:False.out
24
[('conv2d', 918, 36, 36, 26, 25704), ('ReLU', 918, 36, 36, 26, 0), ('dropout', 918, 36, 36, 26, 0), ('conv2d', 459, 36, 36, 26, 3792717), ('ReLU', 459, 36, 36, 26, 0), ('dropout', 459, 36, 36, 26, 0), ('conv2d', 489, 36, 36, 26, 2020548), ('ReLU', 489, 36, 36, 26, 0), ('dropout', 489, 36, 36, 26, 0), ('conv2d', 522, 36...
ReLU
95,489,069
245,472,793
26
14,553
93.123077
0.923188
0.955414
0.227172
0.004778
24
0
24
1
1
SUCCESSFUL
0.26
25,255.36
936.4
26,192.02
input_channels:3_num_classes:505_depth:23_arch:dense_base_filters:470_batch:40_input_size:214_act:softplus_dropout:0.4925468778853237_dropout:True_batchnorm:True.out
21
[('conv2d', 32, 214, 214, 40, 896), ('batchnorm2d', 32, 214, 214, 40, 64), ('Softplus', 32, 214, 214, 40, 0), ('dropout', 32, 214, 214, 40, 0), ('conv2d', 32, 214, 214, 40, 10112), ('batchnorm2d', 32, 214, 214, 40, 64), ('Softplus', 32, 214, 214, 40, 0), ('dropout', 32, 214, 214, 40, 0), ('conv2d', 32, 214, 214, 40, 19...
Softplus
55,826,911
1,766,712
40
25,175
94.640625
0.929698
0.837673
0.437
0.115673
21
21
20
1
1
SUCCESSFUL
20.8
29,189.2
6.74
29,216.74
input_channels:3_num_classes:702_depth:29_arch:uniform_base_filters:214_batch:12_input_size:206_act:tanh_dropout:0.2267691743392967_dropout:True_batchnorm:True.out
29
[('conv2d', 214, 206, 206, 12, 5992), ('batchnorm2d', 214, 206, 206, 12, 428), ('Tanh', 214, 206, 206, 12, 0), ('dropout', 214, 206, 206, 12, 0), ('conv2d', 214, 206, 206, 12, 412378), ('batchnorm2d', 214, 206, 206, 12, 428), ('Tanh', 214, 206, 206, 12, 0), ('dropout', 214, 206, 206, 12, 0), ('conv2d', 214, 206, 206, 1...
Tanh
1,053,432,882
11,715,918
12
40,179
23.333333
0.11975
0.003
0.002
0.009
29
29
29
1
1
OOM_CRASH
5.88
120,555.84
44.69
120,606.41
input_channels:3_num_classes:647_depth:28_arch:pyramid_base_filters:237_batch:44_input_size:168_act:gelu_dropout:0.4634009482825281_dropout:False_batchnorm:True.out
28
[('conv2d', 237, 168, 168, 44, 6636), ('batchnorm2d', 237, 168, 168, 44, 474), ('GELU', 237, 168, 168, 44, 0), ('conv2d', 255, 168, 168, 44, 544170), ('batchnorm2d', 255, 168, 168, 44, 510), ('GELU', 255, 168, 168, 44, 0), ('conv2d', 276, 168, 168, 44, 633696), ('batchnorm2d', 276, 168, 168, 44, 552), ('GELU', 276, 168...
GELU
1,914,013,750
207,677,117
44
38,575
27.4
0.1508
0.219333
0.052333
0.011
28
28
0
1
1
OOM_CRASH
14.08
856,695.4
792.23
857,501.71
input_channels:3_num_classes:863_depth:25_arch:pyramid_base_filters:242_batch:58_input_size:48_act:mish_dropout:0.15357933585844635_dropout:False_batchnorm:False.out
25
[('conv2d', 242, 48, 48, 58, 6776), ('Mish', 242, 48, 48, 58, 0), ('conv2d', 263, 48, 48, 58, 573077), ('Mish', 263, 48, 48, 58, 0), ('conv2d', 287, 48, 48, 58, 679616), ('Mish', 287, 48, 48, 58, 0), ('conv2d', 312, 48, 48, 58, 806208), ('Mish', 312, 48, 48, 58, 0), ('conv2d', 340, 48, 48, 58, 955060), ('Mish', 340, 48...
Mish
93,274,134
184,445,514
58
39,235
93.712121
0.947672
0.963345
0.205741
0.014855
25
0
0
1
1
SUCCESSFUL
1.74
61,910.36
703.6
62,615.7
input_channels:3_num_classes:782_depth:21_arch:gradual_base_filters:427_batch:56_input_size:90_act:relu_dropout:0.43734424628686275_dropout:False_batchnorm:True.out
21
[('conv2d', 427, 90, 90, 56, 11956), ('batchnorm2d', 427, 90, 90, 56, 854), ('ReLU', 427, 90, 90, 56, 0), ('conv2d', 443, 90, 90, 56, 1702892), ('batchnorm2d', 443, 90, 90, 56, 886), ('ReLU', 443, 90, 90, 56, 0), ('conv2d', 460, 90, 90, 56, 1834480), ('batchnorm2d', 460, 90, 90, 56, 920), ('ReLU', 460, 90, 90, 56, 0), ...
ReLU
324,407,464
76,482,008
56
40,267
13.833333
0.1418
0.3815
0.107
0.014
21
21
0
1
1
OOM_CRASH
5.04
184,802.24
291.76
185,099.04
input_channels:3_num_classes:897_depth:22_arch:hourglass_base_filters:330_batch:56_input_size:34_act:swish_dropout:0.2075464802786499_dropout:True_batchnorm:False.out
22
[('conv2d', 330, 34, 34, 56, 9240), ('SiLU', 330, 34, 34, 56, 0), ('dropout', 330, 34, 34, 56, 0), ('conv2d', 389, 34, 34, 56, 1155719), ('SiLU', 389, 34, 34, 56, 0), ('dropout', 389, 34, 34, 56, 0), ('conv2d', 459, 34, 34, 56, 1607418), ('SiLU', 459, 34, 34, 56, 0), ('dropout', 459, 34, 34, 56, 0), ('conv2d', 542, 34,...
SiLU
65,963,484
183,780,567
56
18,795
94.369231
0.944222
0.967891
0.226073
0.009035
22
0
22
1
1
SUCCESSFUL
0.56
37,576.56
701.07
38,278.19
input_channels:3_num_classes:801_depth:23_arch:residual_base_filters:499_batch:44_input_size:62_act:selu_dropout:0.46422296797993157_dropout:True_batchnorm:True.out
18
[('conv2d', 499, 62, 62, 44, 1996), ('batchnorm2d', 499, 62, 62, 44, 998), ('conv2d', 499, 62, 62, 44, 13972), ('batchnorm2d', 499, 62, 62, 44, 998), ('SELU', 499, 62, 62, 44, 0), ('dropout', 499, 62, 62, 44, 0), ('conv2d', 499, 62, 62, 44, 2241508), ('batchnorm2d', 499, 62, 62, 44, 998), ('SELU', 499, 62, 62, 44, 0), ...
SELU
33,295,260
36,387,421
44
8,913
92.907692
0.91681
0.92666
0.367434
0.026434
18
18
12
1
1
SUCCESSFUL
1.76
14,529.68
138.81
14,670.25
input_channels:3_num_classes:876_depth:16_arch:dense_base_filters:73_batch:40_input_size:164_act:prelu_dropout:0.23818180280680382_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 164, 164, 40, 896), ('PReLU', 32, 164, 164, 40, 0), ('dropout', 32, 164, 164, 40, 0), ('conv2d', 32, 164, 164, 40, 10112), ('PReLU', 32, 164, 164, 40, 0), ('dropout', 32, 164, 164, 40, 0), ('conv2d', 32, 164, 164, 40, 19328), ('PReLU', 32, 164, 164, 40, 0), ('dropout', 32, 164, 164, 40, 0), ('conv2d', 3...
PReLU
21,572,793
1,294,940
40
12,039
94.265625
0.907969
0.877891
0.4648
0.128036
17
0
16
1
1
SUCCESSFUL
12.4
12,273.6
4.94
12,290.94
input_channels:3_num_classes:864_depth:18_arch:uniform_base_filters:172_batch:20_input_size:82_act:elu_dropout:0.31379209649277523_dropout:False_batchnorm:False.out
18
[('conv2d', 172, 82, 82, 20, 4816), ('ELU', 172, 82, 82, 20, 0), ('conv2d', 172, 82, 82, 20, 266428), ('ELU', 172, 82, 82, 20, 0), ('conv2d', 172, 82, 82, 20, 266428), ('ELU', 172, 82, 82, 20, 0), ('conv2d', 172, 82, 82, 20, 266428), ('ELU', 172, 82, 82, 20, 0), ('conv2d', 172, 82, 82, 20, 266428), ('ELU', 172, 82, 82,...
ELU
41,636,908
4,683,564
20
5,779
92.921875
0.909078
0.909556
0.326907
0.01787
18
0
0
1
1
SUCCESSFUL
1.6
9,529.8
17.87
9,549.27
input_channels:3_num_classes:931_depth:15_arch:gradual_base_filters:315_batch:44_input_size:182_act:leaky_relu_dropout:0.3131654404856161_dropout:True_batchnorm:True.out
15
[('conv2d', 315, 182, 182, 44, 8820), ('batchnorm2d', 315, 182, 182, 44, 630), ('LeakyReLU', 315, 182, 182, 44, 0), ('dropout', 315, 182, 182, 44, 0), ('conv2d', 335, 182, 182, 44, 950060), ('batchnorm2d', 335, 182, 182, 44, 670), ('LeakyReLU', 335, 182, 182, 44, 0), ('dropout', 335, 182, 182, 44, 0), ('conv2d', 356, 1...
LeakyReLU
1,003,527,320
34,549,310
44
40,033
26.8
0.092
0
0
0.0845
15
15
15
1
1
OOM_CRASH
16.72
421,096.72
131.8
421,245.24
input_channels:3_num_classes:864_depth:23_arch:dense_base_filters:191_batch:6_input_size:100_act:mish_dropout:0.181452376453363_dropout:False_batchnorm:True.out
21
[('conv2d', 32, 100, 100, 6, 896), ('batchnorm2d', 32, 100, 100, 6, 64), ('Mish', 32, 100, 100, 6, 0), ('conv2d', 32, 100, 100, 6, 10112), ('batchnorm2d', 32, 100, 100, 6, 64), ('Mish', 32, 100, 100, 6, 0), ('conv2d', 32, 100, 100, 6, 19328), ('batchnorm2d', 32, 100, 100, 6, 64), ('Mish', 32, 100, 100, 6, 0), ('conv2d'...
Mish
9,632,305
1,974,214
6
2,559
86.507937
0.863016
0.637164
0.272255
0.108655
21
21
0
1
1
SUCCESSFUL
0.66
838.98
7.53
847.17
input_channels:3_num_classes:647_depth:22_arch:uniform_base_filters:371_batch:12_input_size:160_act:gelu_dropout:0.44270229294039454_dropout:True_batchnorm:False.out
22
[('conv2d', 371, 160, 160, 12, 10388), ('GELU', 371, 160, 160, 12, 0), ('dropout', 371, 160, 160, 12, 0), ('conv2d', 371, 160, 160, 12, 1239140), ('GELU', 371, 160, 160, 12, 0), ('dropout', 371, 160, 160, 12, 0), ('conv2d', 371, 160, 160, 12, 1239140), ('GELU', 371, 160, 160, 12, 0), ('dropout', 371, 160, 160, 12, 0), ...
GELU
626,843,265
26,273,012
12
26,743
94.430769
0.938859
0.90463
0.319259
0.020164
22
0
22
1
1
SUCCESSFUL
3.48
76,518.96
100.22
76,622.66
input_channels:3_num_classes:682_depth:18_arch:pyramid_base_filters:185_batch:56_input_size:180_act:prelu_dropout:0.3339589834027191_dropout:True_batchnorm:True.out
18
[('conv2d', 185, 180, 180, 56, 5180), ('batchnorm2d', 185, 180, 180, 56, 370), ('PReLU', 185, 180, 180, 56, 0), ('dropout', 185, 180, 180, 56, 0), ('conv2d', 211, 180, 180, 56, 351526), ('batchnorm2d', 211, 180, 180, 56, 422), ('PReLU', 211, 180, 180, 56, 0), ('dropout', 211, 180, 180, 56, 0), ('conv2d', 241, 180, 180,...
PReLU
1,688,431,955
107,852,908
56
38,697
35.166667
0.0952
0.2855
0.087
0
18
18
18
1
1
OOM_CRASH
20.72
901,719.84
411.43
902,151.99
input_channels:3_num_classes:590_depth:24_arch:uniform_base_filters:226_batch:28_input_size:186_act:selu_dropout:0.4132057361104504_dropout:False_batchnorm:False.out
24
[('conv2d', 226, 186, 186, 28, 6328), ('SELU', 226, 186, 186, 28, 0), ('conv2d', 226, 186, 186, 28, 459910), ('SELU', 226, 186, 186, 28, 0), ('conv2d', 226, 186, 186, 28, 459910), ('SELU', 226, 186, 186, 28, 0), ('conv2d', 226, 186, 186, 28, 459910), ('SELU', 226, 186, 186, 28, 0), ('conv2d', 226, 186, 186, 28, 459910)...
SELU
375,298,814
10,718,188
28
39,747
28.333333
0.13475
0.372
0.132
0
24
0
0
1
1
OOM_CRASH
11.2
120,258.6
40.89
120,310.69
input_channels:3_num_classes:669_depth:20_arch:dense_base_filters:398_batch:58_input_size:204_act:elu_dropout:0.22759033028955278_dropout:False_batchnorm:True.out
21
[('conv2d', 32, 204, 204, 58, 896), ('batchnorm2d', 32, 204, 204, 58, 64), ('ELU', 32, 204, 204, 58, 0), ('conv2d', 32, 204, 204, 58, 10112), ('batchnorm2d', 32, 204, 204, 58, 64), ('ELU', 32, 204, 204, 58, 0), ('conv2d', 32, 204, 204, 58, 19328), ('batchnorm2d', 32, 204, 204, 58, 64), ('ELU', 32, 204, 204, 58, 0), ('c...
ELU
40,078,123
1,861,504
58
30,023
93.338462
0.911406
0.836075
0.426075
0.112055
21
21
0
1
1
SUCCESSFUL
27.84
33,746.72
7.1
33,781.66
input_channels:3_num_classes:962_depth:22_arch:pyramid_base_filters:372_batch:18_input_size:94_act:swish_dropout:0.3808637619937897_dropout:True_batchnorm:True.out
22
[('conv2d', 372, 94, 94, 18, 10416), ('batchnorm2d', 372, 94, 94, 18, 744), ('SiLU', 372, 94, 94, 18, 0), ('dropout', 372, 94, 94, 18, 0), ('conv2d', 401, 94, 94, 18, 1342949), ('batchnorm2d', 401, 94, 94, 18, 802), ('SiLU', 401, 94, 94, 18, 0), ('dropout', 401, 94, 94, 18, 0), ('conv2d', 434, 94, 94, 18, 1566740), ('b...
SiLU
734,416,795
201,942,438
18
39,889
43.428571
0.1734
0.2195
0.055
0.0105
22
22
22
1
1
OOM_CRASH
1.8
126,070.92
770.35
126,843.07
input_channels:3_num_classes:797_depth:24_arch:uniform_base_filters:139_batch:56_input_size:206_act:prelu_dropout:0.3675350400517605_dropout:False_batchnorm:False.out
24
[('conv2d', 139, 206, 206, 56, 3892), ('PReLU', 139, 206, 206, 56, 0), ('conv2d', 139, 206, 206, 56, 174028), ('PReLU', 139, 206, 206, 56, 0), ('conv2d', 139, 206, 206, 56, 174028), ('PReLU', 139, 206, 206, 56, 0), ('conv2d', 139, 206, 206, 56, 174028), ('PReLU', 139, 206, 206, 56, 0), ('conv2d', 139, 206, 206, 56, 174...
PReLU
283,134,725
4,118,116
56
39,891
23.6
0.11225
0.001
0.001
0.001
24
0
0
1
1
OOM_CRASH
27.44
181,451.76
15.71
181,494.91
input_channels:3_num_classes:574_depth:27_arch:uniform_base_filters:282_batch:24_input_size:166_act:leaky_relu_dropout:0.4806611444477529_dropout:True_batchnorm:False.out
27
[('conv2d', 282, 166, 166, 24, 7896), ('LeakyReLU', 282, 166, 166, 24, 0), ('dropout', 282, 166, 166, 24, 0), ('conv2d', 282, 166, 166, 24, 715998), ('LeakyReLU', 282, 166, 166, 24, 0), ('dropout', 282, 166, 166, 24, 0), ('conv2d', 282, 166, 166, 24, 715998), ('LeakyReLU', 282, 166, 166, 24, 0), ('dropout', 282, 166, 1...
LeakyReLU
629,435,582
18,786,286
24
40,069
23
0.0866
0.368
0.121
0.049
27
0
27
1
1
OOM_CRASH
7.68
153,670.8
71.66
153,750.14
input_channels:3_num_classes:807_depth:15_arch:uniform_base_filters:137_batch:40_input_size:150_act:gelu_dropout:0.23022533198476747_dropout:True_batchnorm:True.out
15
[('conv2d', 137, 150, 150, 40, 3836), ('batchnorm2d', 137, 150, 150, 40, 274), ('GELU', 137, 150, 150, 40, 0), ('dropout', 137, 150, 150, 40, 0), ('conv2d', 137, 150, 150, 40, 169058), ('batchnorm2d', 137, 150, 150, 40, 274), ('GELU', 137, 150, 150, 40, 0), ('dropout', 137, 150, 150, 40, 0), ('conv2d', 137, 150, 150, 4...
GELU
184,951,751
2,486,124
40
28,683
93.307692
0.928562
0.939655
0.391667
0.033218
15
15
15
1
1
SUCCESSFUL
10.4
70,553.2
9.48
70,573.08
input_channels:3_num_classes:802_depth:29_arch:dense_base_filters:95_batch:44_input_size:48_act:selu_dropout:0.23922953398325952_dropout:True_batchnorm:False.out
30
[('conv2d', 32, 48, 48, 44, 896), ('SELU', 32, 48, 48, 44, 0), ('dropout', 32, 48, 48, 44, 0), ('conv2d', 32, 48, 48, 44, 10112), ('SELU', 32, 48, 48, 44, 0), ('dropout', 32, 48, 48, 44, 0), ('conv2d', 32, 48, 48, 44, 19328), ('SELU', 32, 48, 48, 44, 0), ('dropout', 32, 48, 48, 44, 0), ('conv2d', 32, 48, 48, 44, 28544)...
SELU
2,753,060
3,288,742
44
3,275
85.47619
0.846762
0.747491
0.352073
0.0296
30
0
28
1
1
SUCCESSFUL
1.32
1,889.36
12.55
1,903.23
input_channels:3_num_classes:741_depth:17_arch:hourglass_base_filters:320_batch:4_input_size:120_act:leaky_relu_dropout:0.22065617315782396_dropout:False_batchnorm:True.out
17
[('conv2d', 320, 120, 120, 4, 8960), ('batchnorm2d', 320, 120, 120, 4, 640), ('LeakyReLU', 320, 120, 120, 4, 0), ('conv2d', 403, 120, 120, 4, 1161043), ('batchnorm2d', 403, 120, 120, 4, 806), ('LeakyReLU', 403, 120, 120, 4, 0), ('conv2d', 508, 120, 120, 4, 1843024), ('batchnorm2d', 508, 120, 120, 4, 1016), ('LeakyReLU'...
LeakyReLU
611,368,202
131,156,310
4
14,889
94.546875
0.933875
0.952564
0.224145
0.007137
17
17
0
1
1
SUCCESSFUL
0.64
24,876.6
500.32
25,377.56
input_channels:3_num_classes:500_depth:16_arch:hourglass_base_filters:85_batch:22_input_size:146_act:gelu_dropout:0.40897063301144365_dropout:False_batchnorm:True.out
16
[('conv2d', 85, 146, 146, 22, 2380), ('batchnorm2d', 85, 146, 146, 22, 170), ('GELU', 85, 146, 146, 22, 0), ('conv2d', 126, 146, 146, 22, 96516), ('batchnorm2d', 126, 146, 146, 22, 252), ('GELU', 126, 146, 146, 22, 0), ('conv2d', 188, 146, 146, 22, 213380), ('batchnorm2d', 188, 146, 146, 22, 376), ('GELU', 188, 146, 14...
GELU
513,631,421
58,612,078
22
39,827
43.833333
0.2386
0.999
0.433
0.008
16
16
0
1
1
OOM_CRASH
5.28
114,948.46
223.59
115,177.33
input_channels:3_num_classes:958_depth:29_arch:residual_base_filters:322_batch:16_input_size:104_act:softplus_dropout:0.11980044241530044_dropout:True_batchnorm:True.out
24
[('conv2d', 322, 104, 104, 16, 1288), ('batchnorm2d', 322, 104, 104, 16, 644), ('conv2d', 322, 104, 104, 16, 9016), ('batchnorm2d', 322, 104, 104, 16, 644), ('Softplus', 322, 104, 104, 16, 0), ('dropout', 322, 104, 104, 16, 0), ('conv2d', 322, 104, 104, 16, 933478), ('batchnorm2d', 322, 104, 104, 16, 644), ('Softplus',...
Softplus
61,200,429
24,350,410
16
5,955
92.476923
0.922905
0.873845
0.404351
0.033879
24
24
16
1
1
SUCCESSFUL
1.92
9,711.84
92.89
9,806.65
input_channels:3_num_classes:752_depth:27_arch:bottleneck_base_filters:83_batch:20_input_size:50_act:relu_dropout:0.4259747146035593_dropout:True_batchnorm:True.out
27
[('conv2d', 166, 50, 50, 20, 4648), ('batchnorm2d', 166, 50, 50, 20, 332), ('ReLU', 166, 50, 50, 20, 0), ('dropout', 166, 50, 50, 20, 0), ('conv2d', 83, 50, 50, 20, 124085), ('batchnorm2d', 83, 50, 50, 20, 166), ('ReLU', 83, 50, 50, 20, 0), ('dropout', 83, 50, 50, 20, 0), ('conv2d', 93, 50, 50, 20, 69564), ('batchnorm2...
ReLU
151,263,314
120,461,887
20
16,697
93.107692
0.930641
0.945362
0.243
0.008304
27
27
27
1
1
SUCCESSFUL
0.6
28,851
459.53
29,311.13
input_channels:3_num_classes:788_depth:24_arch:residual_base_filters:432_batch:16_input_size:144_act:mish_dropout:0.12627433989764458_dropout:False_batchnorm:False.out
30
[('conv2d', 432, 144, 144, 16, 1728), ('conv2d', 432, 144, 144, 16, 12096), ('Mish', 432, 144, 144, 16, 0), ('conv2d', 432, 144, 144, 16, 1680048), ('Mish', 432, 144, 144, 16, 0), ('conv2d', 460, 72, 72, 16, 199180), ('conv2d', 460, 72, 72, 16, 1788940), ('Mish', 460, 72, 72, 16, 0), ('conv2d', 460, 72, 72, 16, 1904860...
Mish
79,124,725
64,583,086
16
11,451
93.738462
0.933492
0.929981
0.339077
0.036464
30
0
0
1
1
SUCCESSFUL
3.84
17,385.6
246.36
17,635.8
input_channels:3_num_classes:577_depth:17_arch:residual_base_filters:81_batch:26_input_size:100_act:tanh_dropout:0.3376869939987167_dropout:False_batchnorm:False.out
24
[('conv2d', 81, 100, 100, 26, 324), ('conv2d', 81, 100, 100, 26, 2268), ('Tanh', 81, 100, 100, 26, 0), ('conv2d', 81, 100, 100, 26, 59130), ('Tanh', 81, 100, 100, 26, 0), ('conv2d', 97, 50, 50, 26, 7954), ('conv2d', 97, 50, 50, 26, 70810), ('Tanh', 97, 50, 50, 26, 0), ('conv2d', 97, 50, 50, 26, 84778), ('Tanh', 97, 50,...
Tanh
8,191,820
4,991,771
26
3,087
87.90625
0.843766
0.723386
0.365702
0.035786
24
0
0
1
1
SUCCESSFUL
2.86
2,924.74
19.04
2,946.64
input_channels:3_num_classes:604_depth:27_arch:pyramid_base_filters:257_batch:16_input_size:202_act:relu_dropout:0.16058726869033357_dropout:False_batchnorm:False.out
27
[('conv2d', 257, 202, 202, 16, 7196), ('ReLU', 257, 202, 202, 16, 0), ('conv2d', 277, 202, 202, 16, 640978), ('ReLU', 277, 202, 202, 16, 0), ('conv2d', 299, 202, 202, 16, 745706), ('ReLU', 299, 202, 202, 16, 0), ('conv2d', 323, 202, 202, 16, 869516), ('ReLU', 323, 202, 202, 16, 0), ('conv2d', 349, 202, 202, 16, 1014892...
ReLU
1,828,267,128
207,485,748
16
40,079
46
0.2535
0.765
0.1715
0.002
27
0
0
1
1
OOM_CRASH
7.52
334,765.6
791.5
335,564.62
input_channels:3_num_classes:571_depth:28_arch:bottleneck_base_filters:356_batch:8_input_size:200_act:prelu_dropout:0.4053674385994406_dropout:False_batchnorm:True.out
28
[('conv2d', 712, 200, 200, 8, 19936), ('batchnorm2d', 712, 200, 200, 8, 1424), ('PReLU', 712, 200, 200, 8, 0), ('conv2d', 356, 200, 200, 8, 2281604), ('batchnorm2d', 356, 200, 200, 8, 712), ('PReLU', 356, 200, 200, 8, 0), ('conv2d', 379, 200, 200, 8, 1214695), ('batchnorm2d', 379, 200, 200, 8, 758), ('PReLU', 379, 200,...
PReLU
3,116,883,061
250,190,679
8
39,749
40.833333
0.179167
0.4445
0.107
0.003
28
28
0
1
1
OOM_CRASH
3.68
253,652.56
954.4
254,610.64
input_channels:3_num_classes:617_depth:26_arch:residual_base_filters:145_batch:40_input_size:132_act:swish_dropout:0.34385574937605257_dropout:False_batchnorm:True.out
30
[('conv2d', 145, 132, 132, 40, 580), ('batchnorm2d', 145, 132, 132, 40, 290), ('conv2d', 145, 132, 132, 40, 4060), ('batchnorm2d', 145, 132, 132, 40, 290), ('SiLU', 145, 132, 132, 40, 0), ('conv2d', 145, 132, 132, 40, 189370), ('batchnorm2d', 145, 132, 132, 40, 290), ('SiLU', 145, 132, 132, 40, 0), ('conv2d', 160, 66, ...
SiLU
37,205,220
11,200,167
40
10,447
92.203125
0.914159
0.880038
0.39534
0.040018
30
30
0
1
1
SUCCESSFUL
8
15,611.6
42.73
15,662.33
input_channels:3_num_classes:739_depth:18_arch:gradual_base_filters:102_batch:46_input_size:182_act:softplus_dropout:0.4530523260043954_dropout:True_batchnorm:False.out
18
[('conv2d', 102, 182, 182, 46, 2856), ('Softplus', 102, 182, 182, 46, 0), ('dropout', 102, 182, 182, 46, 0), ('conv2d', 110, 182, 182, 46, 101090), ('Softplus', 110, 182, 182, 46, 0), ('dropout', 110, 182, 182, 46, 0), ('conv2d', 120, 182, 182, 46, 118920), ('Softplus', 120, 182, 182, 46, 0), ('dropout', 120, 182, 182,...
Softplus
405,042,170
9,255,453
46
39,055
28.25
0.0668
0.081
0.04
0
18
0
18
1
1
OOM_CRASH
17.48
189,533.8
35.31
189,586.59
input_channels:3_num_classes:661_depth:21_arch:gradual_base_filters:149_batch:36_input_size:38_act:softplus_dropout:0.3902514150469646_dropout:True_batchnorm:True.out
21
[('conv2d', 149, 38, 38, 36, 4172), ('batchnorm2d', 149, 38, 38, 36, 298), ('Softplus', 149, 38, 38, 36, 0), ('dropout', 149, 38, 38, 36, 0), ('conv2d', 158, 38, 38, 36, 212036), ('batchnorm2d', 158, 38, 38, 36, 316), ('Softplus', 158, 38, 38, 36, 0), ('dropout', 158, 38, 38, 36, 0), ('conv2d', 168, 38, 38, 36, 239064)...
Softplus
36,130,720
18,124,944
36
7,635
90.96875
0.927508
0.893852
0.327574
0.028839
21
21
21
1
1
SUCCESSFUL
0.72
12,404.52
69.14
12,474.38
input_channels:3_num_classes:710_depth:19_arch:bottleneck_base_filters:79_batch:62_input_size:218_act:relu_dropout:0.27516739999649503_dropout:False_batchnorm:False.out
19
[('conv2d', 158, 218, 218, 62, 4424), ('ReLU', 158, 218, 218, 62, 0), ('conv2d', 79, 218, 218, 62, 112417), ('ReLU', 79, 218, 218, 62, 0), ('conv2d', 94, 218, 218, 62, 66928), ('ReLU', 94, 218, 218, 62, 0), ('conv2d', 113, 218, 218, 62, 95711), ('ReLU', 113, 218, 218, 62, 0), ('conv2d', 135, 218, 218, 62, 137430), ('Re...
ReLU
958,277,065
73,405,532
62
38,845
38.333333
0.0885
0.344
0.104
0.098
19
0
0
1
1
OOM_CRASH
33.48
679,929.2
280.02
680,242.7