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:9_depth:6_arch:dense_base_filters:108_batch:8_input_size:20_act:prelu_dropout:0.3681996954115221_dropout:True_batchnorm:False.out
4
[('conv2d', 32, 20, 20, 8, 896), ('PReLU', 32, 20, 20, 8, 0), ('dropout', 32, 20, 20, 8, 0), ('conv2d', 32, 20, 20, 8, 10112), ('PReLU', 32, 20, 20, 8, 0), ('dropout', 32, 20, 20, 8, 0), ('conv2d', 32, 20, 20, 8, 19328), ('PReLU', 32, 20, 20, 8, 0), ('dropout', 32, 20, 20, 8, 0), ('conv2d', 32, 20, 20, 8, 28544), ('PRe...
PReLU
153,749
60,068
8
1,727
32.365079
0.311359
0.102418
0.016
0.019185
4
0
4
1
1
SUCCESSFUL
0
15.68
0.23
15.91
input_channels:1_num_classes:493_depth:9_arch:hourglass_base_filters:119_batch:36_input_size:2_act:prelu_dropout:0.2816881315356107_dropout:True_batchnorm:True.out
0
[]
null
0
0
36
0
100
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:400_depth:9_arch:gradual_base_filters:72_batch:56_input_size:16_act:softplus_dropout:0.3882411067060578_dropout:False_batchnorm:False.out
9
[('conv2d', 72, 16, 16, 56, 2016), ('Softplus', 72, 16, 16, 56, 0), ('conv2d', 86, 16, 16, 56, 55814), ('Softplus', 86, 16, 16, 56, 0), ('conv2d', 104, 16, 16, 56, 80600), ('Softplus', 104, 16, 16, 56, 0), ('conv2d', 125, 16, 16, 56, 117125), ('Softplus', 125, 16, 16, 56, 0), ('conv2d', 151, 16, 16, 56, 170026), ('Soft...
Softplus
779,870
2,436,136
56
2,181
60.983871
0.569813
0.448879
0.140724
0.029828
9
0
0
1
1
SUCCESSFUL
0
499.52
9.29
508.81
input_channels:1_num_classes:530_depth:27_arch:uniform_base_filters:82_batch:2_input_size:18_act:swish_dropout:0.18393647971268115_dropout:False_batchnorm:True.out
27
[('conv2d', 82, 18, 18, 2, 820), ('batchnorm2d', 82, 18, 18, 2, 164), ('SiLU', 82, 18, 18, 2, 0), ('conv2d', 82, 18, 18, 2, 60598), ('batchnorm2d', 82, 18, 18, 2, 164), ('SiLU', 82, 18, 18, 2, 0), ('conv2d', 82, 18, 18, 2, 60598), ('batchnorm2d', 82, 18, 18, 2, 164), ('SiLU', 82, 18, 18, 2, 0), ('conv2d', 82, 18, 18, 2...
SiLU
2,153,150
1,624,786
2
1,779
38.285714
0.371667
0.155386
0.048491
0.012965
27
27
0
1
1
SUCCESSFUL
0
43.8
6.2
50
input_channels:1_num_classes:556_depth:24_arch:gradual_base_filters:111_batch:2_input_size:88_act:selu_dropout:0.4103192754641136_dropout:True_batchnorm:False.out
24
[('conv2d', 111, 88, 88, 2, 1110), ('SELU', 111, 88, 88, 2, 0), ('dropout', 111, 88, 88, 2, 0), ('conv2d', 117, 88, 88, 2, 117000), ('SELU', 117, 88, 88, 2, 0), ('dropout', 117, 88, 88, 2, 0), ('conv2d', 125, 88, 88, 2, 131750), ('SELU', 125, 88, 88, 2, 0), ('dropout', 125, 88, 88, 2, 0), ('conv2d', 133, 88, 88, 2, 149...
SELU
135,444,120
14,201,694
2
3,055
-1
-1
-1
-1
-1
24
0
24
1
1
SUCCESSFUL
0.06
2,755.6
54.18
2,809.84
input_channels:3_num_classes:971_depth:17_arch:bottleneck_base_filters:23_batch:58_input_size:96_act:swish_dropout:0.1667520310250234_dropout:True_batchnorm:False.out
17
[('conv2d', 46, 96, 96, 58, 1288), ('SiLU', 46, 96, 96, 58, 0), ('dropout', 46, 96, 96, 58, 0), ('conv2d', 23, 96, 96, 58, 9545), ('SiLU', 23, 96, 96, 58, 0), ('dropout', 23, 96, 96, 58, 0), ('conv2d', 30, 96, 96, 58, 6240), ('SiLU', 30, 96, 96, 58, 0), ('dropout', 30, 96, 96, 58, 0), ('conv2d', 40, 96, 96, 58, 10840),...
SiLU
173,909,408
39,336,129
58
39,803
71.1
0.5851
0.793167
0.231
0.3905
17
0
17
1
1
OOM_CRASH
6.38
102,607.22
150.06
102,763.66
input_channels:3_num_classes:755_depth:23_arch:pyramid_base_filters:94_batch:34_input_size:8_act:tanh_dropout:0.14295329126488474_dropout:True_batchnorm:True.out
23
[('conv2d', 94, 8, 8, 34, 2632), ('batchnorm2d', 94, 8, 8, 34, 188), ('Tanh', 94, 8, 8, 34, 0), ('dropout', 94, 8, 8, 34, 0), ('conv2d', 107, 8, 8, 34, 90629), ('batchnorm2d', 107, 8, 8, 34, 214), ('Tanh', 107, 8, 8, 34, 0), ('dropout', 107, 8, 8, 34, 0), ('conv2d', 122, 8, 8, 34, 117608), ('batchnorm2d', 122, 8, 8, 34...
Tanh
3,490,021
108,452,150
34
4,387
-1
-1
-1
-1
-1
23
23
23
1
1
SUCCESSFUL
0
1,131.52
413.71
1,545.23
input_channels:3_num_classes:132_depth:1_arch:gradual_base_filters:36_batch:60_input_size:148_act:gelu_dropout:0.4831420387936496_dropout:False_batchnorm:True.out
1
[('conv2d', 36, 148, 148, 60, 1008), ('batchnorm2d', 36, 148, 148, 60, 72), ('GELU', 36, 148, 148, 60, 0), ('adaptive_avg_pool2d', 0, 0, 36, 60, 0), ('linear', 0, 0, 132, 60, 4884), ('softmax', 0, 0, 132, 60, 0)]
GELU
2,365,932
5,964
60
2,489
-1
-1
-1
-1
-1
1
1
0
1
1
SUCCESSFUL
15
1,444.2
0.02
1,459.22
input_channels:1_num_classes:523_depth:6_arch:gradual_base_filters:49_batch:16_input_size:206_act:prelu_dropout:0.180612432592394_dropout:True_batchnorm:False.out
6
[('conv2d', 49, 206, 206, 16, 490), ('PReLU', 49, 206, 206, 16, 0), ('dropout', 49, 206, 206, 16, 0), ('conv2d', 66, 206, 206, 16, 29172), ('PReLU', 66, 206, 206, 16, 0), ('dropout', 66, 206, 206, 16, 0), ('conv2d', 91, 206, 206, 16, 54145), ('PReLU', 91, 206, 206, 16, 0), ('dropout', 91, 206, 206, 16, 0), ('conv2d', 1...
PReLU
93,190,734
852,428
16
11,035
-1
-1
-1
-1
-1
6
0
6
1
1
SUCCESSFUL
2.56
15,167.68
3.25
15,173.49
input_channels:1_num_classes:296_depth:15_arch:bottleneck_base_filters:29_batch:28_input_size:88_act:mish_dropout:0.17767988218525432_dropout:True_batchnorm:False.out
15
[('conv2d', 58, 88, 88, 28, 580), ('Mish', 58, 88, 88, 28, 0), ('dropout', 58, 88, 88, 28, 0), ('conv2d', 29, 88, 88, 28, 15167), ('Mish', 29, 88, 88, 28, 0), ('dropout', 29, 88, 88, 28, 0), ('conv2d', 39, 88, 88, 28, 10218), ('Mish', 39, 88, 88, 28, 0), ('dropout', 39, 88, 88, 28, 0), ('conv2d', 53, 88, 88, 28, 18656)...
Mish
133,144,694
33,665,048
28
17,699
95.609375
0.946143
0.962321
0.236857
0.022019
15
0
15
1
1
SUCCESSFUL
0.84
37,923.48
128.42
38,052.74
input_channels:3_num_classes:383_depth:28_arch:hourglass_base_filters:59_batch:44_input_size:28_act:elu_dropout:0.2686279382031246_dropout:False_batchnorm:True.out
28
[('conv2d', 59, 28, 28, 44, 1652), ('batchnorm2d', 59, 28, 28, 44, 118), ('ELU', 59, 28, 28, 44, 0), ('conv2d', 76, 28, 28, 44, 40432), ('batchnorm2d', 76, 28, 28, 44, 152), ('ELU', 76, 28, 28, 44, 0), ('conv2d', 97, 28, 28, 44, 66445), ('batchnorm2d', 97, 28, 28, 44, 194), ('ELU', 97, 28, 28, 44, 0), ('conv2d', 126, 2...
ELU
32,411,385
111,327,342
44
11,087
92.651515
0.925672
0.911561
0.23707
0.01819
28
28
0
1
1
SUCCESSFUL
0.44
14,506.8
424.68
14,931.92
input_channels:3_num_classes:388_depth:15_arch:pyramid_base_filters:80_batch:50_input_size:106_act:leaky_relu_dropout:0.18465681610337925_dropout:True_batchnorm:False.out
15
[('conv2d', 80, 106, 106, 50, 2240), ('LeakyReLU', 80, 106, 106, 50, 0), ('dropout', 80, 106, 106, 50, 0), ('conv2d', 99, 106, 106, 50, 71379), ('LeakyReLU', 99, 106, 106, 50, 0), ('dropout', 99, 106, 106, 50, 0), ('conv2d', 123, 106, 106, 50, 109716), ('LeakyReLU', 123, 106, 106, 50, 0), ('dropout', 123, 106, 106, 50,...
LeakyReLU
274,621,501
56,664,968
50
40,157
40.833333
0.123
0
0
0.001
15
0
15
1
1
OOM_CRASH
6.5
139,679.5
216.16
139,902.16
input_channels:3_num_classes:529_depth:5_arch:hourglass_base_filters:19_batch:36_input_size:74_act:selu_dropout:0.3699313853599695_dropout:False_batchnorm:False.out
5
[('conv2d', 19, 74, 74, 36, 532), ('SELU', 19, 74, 74, 36, 0), ('conv2d', 197, 74, 74, 36, 33884), ('SELU', 197, 74, 74, 36, 0), ('conv2d', 430, 74, 74, 36, 762820), ('SELU', 430, 74, 74, 36, 0), ('conv2d', 90, 74, 74, 36, 348390), ('SELU', 90, 74, 74, 36, 0), ('conv2d', 19, 74, 74, 36, 15409), ('SELU', 19, 74, 74, 36,...
SELU
8,269,837
1,171,615
36
4,599
-1
-1
-1
-1
-1
5
0
0
1
1
SUCCESSFUL
2.16
3,407.04
4.47
3,413.67
input_channels:3_num_classes:792_depth:5_arch:uniform_base_filters:119_batch:60_input_size:104_act:selu_dropout:0.24965875877902738_dropout:True_batchnorm:True.out
5
[('conv2d', 119, 104, 104, 60, 3332), ('batchnorm2d', 119, 104, 104, 60, 238), ('SELU', 119, 104, 104, 60, 0), ('dropout', 119, 104, 104, 60, 0), ('conv2d', 119, 104, 104, 60, 127568), ('batchnorm2d', 119, 104, 104, 60, 238), ('SELU', 119, 104, 104, 60, 0), ('dropout', 119, 104, 104, 60, 0), ('conv2d', 119, 104, 104, 6...
SELU
25,743,783
609,834
60
8,245
92.125
0.872138
0.881927
0.454327
0.042927
5
5
5
1
1
SUCCESSFUL
7.2
14,730.6
2.33
14,740.13
input_channels:1_num_classes:849_depth:3_arch:uniform_base_filters:22_batch:38_input_size:34_act:swish_dropout:0.30873231037378746_dropout:False_batchnorm:True.out
3
[('conv2d', 22, 34, 34, 38, 220), ('batchnorm2d', 22, 34, 34, 38, 44), ('SiLU', 22, 34, 34, 38, 0), ('conv2d', 22, 34, 34, 38, 4378), ('batchnorm2d', 22, 34, 34, 38, 44), ('SiLU', 22, 34, 34, 38, 0), ('conv2d', 22, 34, 34, 38, 4378), ('batchnorm2d', 22, 34, 34, 38, 44), ('SiLU', 22, 34, 34, 38, 0), ('adaptive_avg_pool2...
SiLU
230,608
28,635
38
1,783
-1
-1
-1
-1
-1
3
3
0
1
1
SUCCESSFUL
0
88.92
0.11
89.03
input_channels:3_num_classes:528_depth:17_arch:bottleneck_base_filters:120_batch:22_input_size:122_act:selu_dropout:0.2934771094190024_dropout:True_batchnorm:False.out
17
[('conv2d', 240, 122, 122, 22, 6720), ('SELU', 240, 122, 122, 22, 0), ('dropout', 240, 122, 122, 22, 0), ('conv2d', 120, 122, 122, 22, 259320), ('SELU', 120, 122, 122, 22, 0), ('dropout', 120, 122, 122, 22, 0), ('conv2d', 143, 122, 122, 22, 154583), ('SELU', 143, 122, 122, 22, 0), ('dropout', 143, 122, 122, 22, 0), ('c...
SELU
454,113,611
75,006,270
22
40,319
-1
-1
-1
-1
-1
17
0
17
1
1
OOM_CRASH
3.74
101,628.56
286.13
101,918.43
input_channels:1_num_classes:877_depth:9_arch:pyramid_base_filters:87_batch:22_input_size:76_act:selu_dropout:0.4964468552716489_dropout:True_batchnorm:True.out
9
[('conv2d', 87, 76, 76, 22, 870), ('batchnorm2d', 87, 76, 76, 22, 174), ('SELU', 87, 76, 76, 22, 0), ('dropout', 87, 76, 76, 22, 0), ('conv2d', 123, 76, 76, 22, 96432), ('batchnorm2d', 123, 76, 76, 22, 246), ('SELU', 123, 76, 76, 22, 0), ('dropout', 123, 76, 76, 22, 0), ('conv2d', 175, 76, 76, 22, 193900), ('batchnorm2...
SELU
107,690,939
27,275,684
22
12,739
94.476923
0.921422
0.967185
0.27513
0.017786
9
9
9
1
1
SUCCESSFUL
0.44
22,594.22
104.05
22,698.71
input_channels:3_num_classes:564_depth:13_arch:gradual_base_filters:85_batch:32_input_size:130_act:swish_dropout:0.20016538651264773_dropout:False_batchnorm:False.out
13
[('conv2d', 85, 130, 130, 32, 2380), ('SiLU', 85, 130, 130, 32, 0), ('conv2d', 96, 130, 130, 32, 73536), ('SiLU', 96, 130, 130, 32, 0), ('conv2d', 108, 130, 130, 32, 93420), ('SiLU', 108, 130, 130, 32, 0), ('conv2d', 122, 130, 130, 32, 118706), ('SiLU', 122, 130, 130, 32, 0), ('conv2d', 138, 130, 130, 32, 151662), ('Si...
SiLU
86,090,097
4,930,539
32
18,567
-1
-1
-1
-1
-1
13
0
0
1
1
SUCCESSFUL
6.08
31,527.04
18.81
31,551.93
input_channels:3_num_classes:480_depth:6_arch:residual_base_filters:98_batch:24_input_size:24_act:swish_dropout:0.28243353240925007_dropout:True_batchnorm:False.out
9
[('conv2d', 98, 24, 24, 24, 392), ('conv2d', 98, 24, 24, 24, 2744), ('SiLU', 98, 24, 24, 24, 0), ('dropout', 98, 24, 24, 24, 0), ('conv2d', 98, 24, 24, 24, 86534), ('SiLU', 98, 24, 24, 24, 0), ('dropout', 98, 24, 24, 24, 0), ('conv2d', 162, 12, 12, 24, 16038), ('conv2d', 162, 12, 12, 24, 143046), ('SiLU', 162, 12, 12, ...
SiLU
830,813
1,702,548
24
1,841
52.833333
0.495937
0.321054
0.1145
0.011491
9
0
6
1
1
SUCCESSFUL
0.24
239.04
6.49
245.77
input_channels:3_num_classes:484_depth:29_arch:pyramid_base_filters:57_batch:54_input_size:48_act:prelu_dropout:0.17657262531759665_dropout:True_batchnorm:True.out
29
[('conv2d', 57, 48, 48, 54, 1596), ('batchnorm2d', 57, 48, 48, 54, 114), ('PReLU', 57, 48, 48, 54, 0), ('dropout', 57, 48, 48, 54, 0), ('conv2d', 64, 48, 48, 54, 32896), ('batchnorm2d', 64, 48, 48, 54, 128), ('PReLU', 64, 48, 48, 54, 0), ('dropout', 64, 48, 48, 54, 0), ('conv2d', 72, 48, 48, 54, 41544), ('batchnorm2d',...
PReLU
139,450,074
119,737,226
54
39,777
-1
-1
-1
-1
-1
29
29
29
1
1
SUCCESSFUL
1.62
71,814.06
456.76
72,272.44
input_channels:3_num_classes:561_depth:20_arch:dense_base_filters:90_batch:12_input_size:88_act:mish_dropout:0.4105454127970941_dropout:True_batchnorm:True.out
21
[('conv2d', 32, 88, 88, 12, 896), ('batchnorm2d', 32, 88, 88, 12, 64), ('Mish', 32, 88, 88, 12, 0), ('dropout', 32, 88, 88, 12, 0), ('conv2d', 32, 88, 88, 12, 10112), ('batchnorm2d', 32, 88, 88, 12, 64), ('Mish', 32, 88, 88, 12, 0), ('dropout', 32, 88, 88, 12, 0), ('conv2d', 32, 88, 88, 12, 19328), ('batchnorm2d', 32, ...
Mish
9,441,635
1,799,080
12
3,247
90.109375
0.858781
0.671815
0.313981
0.046698
21
21
20
1
1
SUCCESSFUL
1.08
1,480.92
6.86
1,488.86
input_channels:3_num_classes:576_depth:12_arch:hourglass_base_filters:121_batch:14_input_size:86_act:softplus_dropout:0.11980044241530044_dropout:True_batchnorm:True.out
12
[('conv2d', 121, 86, 86, 14, 3388), ('batchnorm2d', 121, 86, 86, 14, 242), ('Softplus', 121, 86, 86, 14, 0), ('dropout', 121, 86, 86, 14, 0), ('conv2d', 193, 86, 86, 14, 210370), ('batchnorm2d', 193, 86, 86, 14, 386), ('Softplus', 193, 86, 86, 14, 0), ('dropout', 193, 86, 86, 14, 0), ('conv2d', 310, 86, 86, 14, 538780)...
Softplus
189,102,201
44,526,975
14
13,071
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
1.12
25,247.88
169.86
25,418.86
input_channels:3_num_classes:974_depth:25_arch:hourglass_base_filters:16_batch:50_input_size:126_act:relu_dropout:0.3383564948624608_dropout:True_batchnorm:False.out
25
[('conv2d', 16, 126, 126, 50, 448), ('ReLU', 16, 126, 126, 50, 0), ('dropout', 16, 126, 126, 50, 0), ('conv2d', 23, 126, 126, 50, 3335), ('ReLU', 23, 126, 126, 50, 0), ('dropout', 23, 126, 126, 50, 0), ('conv2d', 35, 126, 126, 50, 7280), ('ReLU', 35, 126, 126, 50, 0), ('dropout', 35, 126, 126, 50, 0), ('conv2d', 53, 12...
ReLU
407,602,388
60,953,163
50
39,299
-1
-1
-1
-1
-1
25
0
25
1
1
OOM_CRASH
9
207,317
232.52
207,558.52
input_channels:3_num_classes:143_depth:29_arch:gradual_base_filters:80_batch:26_input_size:178_act:prelu_dropout:0.45098697386472986_dropout:True_batchnorm:True.out
29
[('conv2d', 80, 178, 178, 26, 2240), ('batchnorm2d', 80, 178, 178, 26, 160), ('PReLU', 80, 178, 178, 26, 0), ('dropout', 80, 178, 178, 26, 0), ('conv2d', 84, 178, 178, 26, 60564), ('batchnorm2d', 84, 178, 178, 26, 168), ('PReLU', 84, 178, 178, 26, 0), ('dropout', 84, 178, 178, 26, 0), ('conv2d', 89, 178, 178, 26, 67373...
PReLU
713,777,820
11,288,527
26
39,609
20.6
0.0616
0.001
0
0.006
29
29
29
1
1
OOM_CRASH
9.36
176,984.86
43.06
177,037.28
input_channels:3_num_classes:244_depth:9_arch:residual_base_filters:127_batch:8_input_size:68_act:prelu_dropout:0.2399629643188093_dropout:False_batchnorm:True.out
12
[('conv2d', 127, 68, 68, 8, 508), ('batchnorm2d', 127, 68, 68, 8, 254), ('conv2d', 127, 68, 68, 8, 3556), ('batchnorm2d', 127, 68, 68, 8, 254), ('PReLU', 127, 68, 68, 8, 0), ('conv2d', 127, 68, 68, 8, 145288), ('batchnorm2d', 127, 68, 68, 8, 254), ('PReLU', 127, 68, 68, 8, 0), ('conv2d', 172, 34, 34, 8, 22016), ('batch...
PReLU
9,202,568
3,294,502
8
2,227
75.53125
0.777556
0.608589
0.238714
0.020036
12
12
0
1
1
SUCCESSFUL
0.4
772.32
12.57
785.29
input_channels:3_num_classes:394_depth:12_arch:residual_base_filters:114_batch:52_input_size:182_act:swish_dropout:0.2725790138030001_dropout:True_batchnorm:True.out
18
[('conv2d', 114, 182, 182, 52, 456), ('batchnorm2d', 114, 182, 182, 52, 228), ('conv2d', 114, 182, 182, 52, 3192), ('batchnorm2d', 114, 182, 182, 52, 228), ('SiLU', 114, 182, 182, 52, 0), ('dropout', 114, 182, 182, 52, 0), ('conv2d', 114, 182, 182, 52, 117078), ('batchnorm2d', 114, 182, 182, 52, 228), ('SiLU', 114, 182...
SiLU
78,269,047
6,050,428
52
21,007
92.8125
0.925254
0.9194
0.449426
0.048509
18
18
12
1
1
SUCCESSFUL
19.76
40,367.08
23.08
40,409.92
input_channels:3_num_classes:945_depth:20_arch:residual_base_filters:50_batch:34_input_size:152_act:swish_dropout:0.3946233262747114_dropout:False_batchnorm:False.out
30
[('conv2d', 50, 152, 152, 34, 200), ('conv2d', 50, 152, 152, 34, 1400), ('SiLU', 50, 152, 152, 34, 0), ('conv2d', 50, 152, 152, 34, 22550), ('SiLU', 50, 152, 152, 34, 0), ('conv2d', 60, 76, 76, 34, 3060), ('conv2d', 60, 76, 76, 34, 27060), ('SiLU', 60, 76, 76, 34, 0), ('conv2d', 60, 76, 76, 34, 32460), ('SiLU', 60, 76,...
SiLU
11,712,970
4,060,348
34
4,051
-1
-1
-1
-1
-1
30
0
0
1
1
SUCCESSFUL
8.84
5,468.56
15.49
5,492.89
input_channels:3_num_classes:259_depth:13_arch:pyramid_base_filters:120_batch:6_input_size:32_act:prelu_dropout:0.4014891192182001_dropout:False_batchnorm:True.out
13
[('conv2d', 120, 32, 32, 6, 3360), ('batchnorm2d', 120, 32, 32, 6, 240), ('PReLU', 120, 32, 32, 6, 0), ('conv2d', 149, 32, 32, 6, 161069), ('batchnorm2d', 149, 32, 32, 6, 298), ('PReLU', 149, 32, 32, 6, 0), ('conv2d', 185, 32, 32, 6, 248270), ('batchnorm2d', 185, 32, 32, 6, 370), ('PReLU', 185, 32, 32, 6, 0), ('conv2d'...
PReLU
24,267,892
55,548,981
6
3,321
-1
-1
-1
-1
-1
13
13
0
1
1
SUCCESSFUL
0.06
1,481.16
211.9
1,693.12
input_channels:1_num_classes:910_depth:26_arch:pyramid_base_filters:94_batch:12_input_size:166_act:swish_dropout:0.3069266731344562_dropout:False_batchnorm:True.out
26
[('conv2d', 94, 166, 166, 12, 940), ('batchnorm2d', 94, 166, 166, 12, 188), ('SiLU', 94, 166, 166, 12, 0), ('conv2d', 105, 166, 166, 12, 88935), ('batchnorm2d', 105, 166, 166, 12, 210), ('SiLU', 105, 166, 166, 12, 0), ('conv2d', 119, 166, 166, 12, 112574), ('batchnorm2d', 119, 166, 166, 12, 238), ('SiLU', 119, 166, 166...
SiLU
1,282,928,331
126,594,542
12
39,975
39.5
0.125
0
0
0.006
26
26
0
1
1
OOM_CRASH
1.32
156,607.32
482.92
157,091.56
input_channels:3_num_classes:381_depth:9_arch:bottleneck_base_filters:84_batch:46_input_size:200_act:leaky_relu_dropout:0.10590671270312449_dropout:False_batchnorm:True.out
9
[('conv2d', 168, 200, 200, 46, 4704), ('batchnorm2d', 168, 200, 200, 46, 336), ('LeakyReLU', 168, 200, 200, 46, 0), ('conv2d', 84, 200, 200, 46, 127092), ('batchnorm2d', 84, 200, 200, 46, 168), ('LeakyReLU', 84, 200, 200, 46, 0), ('conv2d', 125, 200, 200, 46, 94625), ('batchnorm2d', 125, 200, 200, 46, 250), ('LeakyReLU...
LeakyReLU
500,042,135
21,278,556
46
37,641
-1
-1
-1
-1
-1
9
9
0
1
1
OOM_CRASH
21.16
233,987.74
81.17
234,090.07
input_channels:1_num_classes:568_depth:26_arch:bottleneck_base_filters:98_batch:62_input_size:92_act:relu_dropout:0.30913154956434763_dropout:True_batchnorm:False.out
26
[('conv2d', 196, 92, 92, 62, 1960), ('ReLU', 196, 92, 92, 62, 0), ('dropout', 196, 92, 92, 62, 0), ('conv2d', 98, 92, 92, 62, 172970), ('ReLU', 98, 92, 92, 62, 0), ('dropout', 98, 92, 92, 62, 0), ('conv2d', 110, 92, 92, 62, 97130), ('ReLU', 110, 92, 92, 62, 0), ('dropout', 110, 92, 92, 62, 0), ('conv2d', 124, 92, 92, 6...
ReLU
387,688,005
122,187,987
62
39,425
16.2
0.097
0.051
0.014
0.061
26
0
26
1
1
OOM_CRASH
1.86
244,513.12
466.11
244,981.09
input_channels:1_num_classes:316_depth:16_arch:hourglass_base_filters:90_batch:52_input_size:88_act:leaky_relu_dropout:0.12161550930026395_dropout:True_batchnorm:False.out
16
[('conv2d', 90, 88, 88, 52, 900), ('LeakyReLU', 90, 88, 88, 52, 0), ('dropout', 90, 88, 88, 52, 0), ('conv2d', 133, 88, 88, 52, 107863), ('LeakyReLU', 133, 88, 88, 52, 0), ('dropout', 133, 88, 88, 52, 0), ('conv2d', 196, 88, 88, 52, 234808), ('LeakyReLU', 196, 88, 88, 52, 0), ('dropout', 196, 88, 88, 52, 0), ('conv2d',...
LeakyReLU
190,224,338
60,197,165
52
37,103
-1
-1
-1
-1
-1
16
0
16
1
1
SUCCESSFUL
1.56
100,623.12
229.63
100,854.31
input_channels:3_num_classes:958_depth:18_arch:uniform_base_filters:109_batch:28_input_size:82_act:swish_dropout:0.11840072669983162_dropout:True_batchnorm:True.out
18
[('conv2d', 109, 82, 82, 28, 3052), ('batchnorm2d', 109, 82, 82, 28, 218), ('SiLU', 109, 82, 82, 28, 0), ('dropout', 109, 82, 82, 28, 0), ('conv2d', 109, 82, 82, 28, 107038), ('batchnorm2d', 109, 82, 82, 28, 218), ('SiLU', 109, 82, 82, 28, 0), ('dropout', 109, 82, 82, 28, 0), ('conv2d', 109, 82, 82, 28, 107038), ('batc...
SiLU
52,771,977
1,932,002
28
6,909
91.453125
0.908985
0.898189
0.445019
0.037691
18
18
18
1
1
SUCCESSFUL
2.24
14,091.56
7.37
14,101.17
input_channels:1_num_classes:796_depth:26_arch:uniform_base_filters:106_batch:52_input_size:168_act:swish_dropout:0.2827160159329529_dropout:True_batchnorm:True.out
26
[('conv2d', 106, 168, 168, 52, 1060), ('batchnorm2d', 106, 168, 168, 52, 212), ('SiLU', 106, 168, 168, 52, 0), ('dropout', 106, 168, 168, 52, 0), ('conv2d', 106, 168, 168, 52, 101230), ('batchnorm2d', 106, 168, 168, 52, 212), ('SiLU', 106, 168, 168, 52, 0), ('dropout', 106, 168, 168, 52, 0), ('conv2d', 106, 168, 168, 5...
SiLU
311,143,074
2,622,494
52
40,033
19.833333
0.1755
0.131667
0.053
0.0275
26
26
26
1
1
OOM_CRASH
5.72
154,299.08
10
154,314.8
input_channels:3_num_classes:730_depth:3_arch:bottleneck_base_filters:103_batch:20_input_size:206_act:mish_dropout:0.305665620818719_dropout:True_batchnorm:True.out
3
[('conv2d', 206, 206, 206, 20, 5768), ('batchnorm2d', 206, 206, 206, 20, 412), ('Mish', 206, 206, 206, 20, 0), ('dropout', 206, 206, 206, 20, 0), ('conv2d', 103, 206, 206, 20, 191065), ('batchnorm2d', 103, 206, 206, 20, 206), ('Mish', 103, 206, 206, 20, 0), ('dropout', 103, 206, 206, 20, 0), ('conv2d', 459, 206, 206, 2...
Mish
130,365,311
960,121
20
14,939
94.484375
0.930492
0.898073
0.497
0.081259
3
3
3
1
1
SUCCESSFUL
9.8
24,865.2
3.66
24,878.66
input_channels:3_num_classes:921_depth:27_arch:bottleneck_base_filters:83_batch:36_input_size:116_act:tanh_dropout:0.3961548947896737_dropout:False_batchnorm:True.out
27
[('conv2d', 166, 116, 116, 36, 4648), ('batchnorm2d', 166, 116, 116, 36, 332), ('Tanh', 166, 116, 116, 36, 0), ('conv2d', 83, 116, 116, 36, 124085), ('batchnorm2d', 83, 116, 116, 36, 166), ('Tanh', 83, 116, 116, 36, 0), ('conv2d', 93, 116, 116, 36, 69564), ('batchnorm2d', 93, 116, 116, 36, 186), ('Tanh', 93, 116, 116, ...
Tanh
610,610,020
120,767,946
36
38,515
10.6
0.11975
0.282
0.109
0
27
27
0
1
1
OOM_CRASH
5.4
223,611.84
460.69
224,077.93
input_channels:3_num_classes:847_depth:4_arch:dense_base_filters:89_batch:32_input_size:210_act:leaky_relu_dropout:0.3196467712523273_dropout:False_batchnorm:True.out
4
[('conv2d', 32, 210, 210, 32, 896), ('batchnorm2d', 32, 210, 210, 32, 64), ('LeakyReLU', 32, 210, 210, 32, 0), ('conv2d', 32, 210, 210, 32, 10112), ('batchnorm2d', 32, 210, 210, 32, 64), ('LeakyReLU', 32, 210, 210, 32, 0), ('conv2d', 32, 210, 210, 32, 19328), ('batchnorm2d', 32, 210, 210, 32, 64), ('LeakyReLU', 32, 210...
LeakyReLU
16,936,225
170,940
32
7,851
91.52381
0.892714
0.678418
0.365685
0.108911
4
4
0
1
1
SUCCESSFUL
16
6,923.52
0.65
6,940.17
input_channels:3_num_classes:786_depth:15_arch:hourglass_base_filters:90_batch:60_input_size:28_act:prelu_dropout:0.15888708436993754_dropout:False_batchnorm:True.out
15
[('conv2d', 90, 28, 28, 60, 2520), ('batchnorm2d', 90, 28, 28, 60, 180), ('PReLU', 90, 28, 28, 60, 0), ('conv2d', 140, 28, 28, 60, 113540), ('batchnorm2d', 140, 28, 28, 60, 280), ('PReLU', 140, 28, 28, 60, 0), ('conv2d', 219, 28, 28, 60, 276159), ('batchnorm2d', 219, 28, 28, 60, 438), ('PReLU', 219, 28, 28, 60, 0), ('c...
PReLU
17,806,302
54,516,066
60
8,069
92.246154
0.909578
0.917167
0.252648
0.009782
15
15
0
1
1
SUCCESSFUL
0.6
10,867.8
207.96
11,076.36
input_channels:1_num_classes:140_depth:6_arch:hourglass_base_filters:53_batch:58_input_size:182_act:gelu_dropout:0.36769890553882567_dropout:False_batchnorm:True.out
6
[('conv2d', 53, 182, 182, 58, 530), ('batchnorm2d', 53, 182, 182, 58, 106), ('GELU', 53, 182, 182, 58, 0), ('conv2d', 179, 182, 182, 58, 85562), ('batchnorm2d', 179, 182, 182, 58, 358), ('GELU', 179, 182, 182, 58, 0), ('conv2d', 605, 182, 182, 58, 975260), ('batchnorm2d', 605, 182, 182, 58, 1210), ('GELU', 605, 182, 18...
GELU
166,349,061
5,427,360
58
39,865
32.2
0.11
0
0
0.014
6
6
0
1
1
OOM_CRASH
7.54
98,147.02
20.7
98,175.26
input_channels:3_num_classes:849_depth:15_arch:gradual_base_filters:90_batch:16_input_size:156_act:tanh_dropout:0.4105692365276207_dropout:True_batchnorm:False.out
15
[('conv2d', 90, 156, 156, 16, 2520), ('Tanh', 90, 156, 156, 16, 0), ('dropout', 90, 156, 156, 16, 0), ('conv2d', 99, 156, 156, 16, 80289), ('Tanh', 99, 156, 156, 16, 0), ('dropout', 99, 156, 156, 16, 0), ('conv2d', 110, 156, 156, 16, 98120), ('Tanh', 110, 156, 156, 16, 0), ('dropout', 110, 156, 156, 16, 0), ('conv2d', ...
Tanh
225,231,764
6,419,311
16
17,151
92.661538
0.930662
0.941625
0.372655
0.012
15
0
15
1
1
SUCCESSFUL
4.48
36,658.72
24.49
36,687.69
input_channels:1_num_classes:376_depth:23_arch:residual_base_filters:36_batch:38_input_size:32_act:relu_dropout:0.3420434179936367_dropout:True_batchnorm:False.out
18
[('conv2d', 36, 32, 32, 38, 72), ('conv2d', 36, 32, 32, 38, 360), ('ReLU', 36, 32, 32, 38, 0), ('dropout', 36, 32, 32, 38, 0), ('conv2d', 36, 32, 32, 38, 11700), ('ReLU', 36, 32, 32, 38, 0), ('dropout', 36, 32, 32, 38, 0), ('conv2d', 42, 16, 16, 38, 1554), ('conv2d', 42, 16, 16, 38, 13650), ('ReLU', 42, 16, 16, 38, 0),...
ReLU
494,310
402,942
38
1,771
34.53125
0.344619
0.163466
0.051483
0.012439
18
0
12
1
1
SUCCESSFUL
0
224.96
1.54
226.5
input_channels:1_num_classes:247_depth:13_arch:residual_base_filters:109_batch:24_input_size:120_act:gelu_dropout:0.2671884922322525_dropout:True_batchnorm:True.out
18
[('conv2d', 109, 120, 120, 24, 218), ('batchnorm2d', 109, 120, 120, 24, 218), ('conv2d', 109, 120, 120, 24, 1090), ('batchnorm2d', 109, 120, 120, 24, 218), ('GELU', 109, 120, 120, 24, 0), ('dropout', 109, 120, 120, 24, 0), ('conv2d', 109, 120, 120, 24, 107038), ('batchnorm2d', 109, 120, 120, 24, 218), ('GELU', 109, 120...
GELU
31,842,830
4,927,381
24
5,601
90.184615
0.909222
0.844759
0.386833
0.046648
18
18
12
1
1
SUCCESSFUL
1.2
7,579.68
18.8
7,599.68
input_channels:1_num_classes:701_depth:20_arch:residual_base_filters:81_batch:36_input_size:212_act:leaky_relu_dropout:0.47837839302742136_dropout:True_batchnorm:False.out
30
[('conv2d', 81, 212, 212, 36, 162), ('conv2d', 81, 212, 212, 36, 810), ('LeakyReLU', 81, 212, 212, 36, 0), ('dropout', 81, 212, 212, 36, 0), ('conv2d', 81, 212, 212, 36, 59130), ('LeakyReLU', 81, 212, 212, 36, 0), ('dropout', 81, 212, 212, 36, 0), ('conv2d', 95, 106, 106, 36, 7790), ('conv2d', 95, 106, 106, 36, 69350),...
LeakyReLU
50,166,891
7,468,279
36
10,009
93.203125
0.904687
0.90183
0.514283
0.035963
30
0
20
1
1
SUCCESSFUL
6.12
21,652.2
28.49
21,686.81
input_channels:1_num_classes:632_depth:15_arch:bottleneck_base_filters:88_batch:50_input_size:128_act:prelu_dropout:0.2593714058776715_dropout:False_batchnorm:False.out
15
[('conv2d', 176, 128, 128, 50, 1760), ('PReLU', 176, 128, 128, 50, 0), ('conv2d', 88, 128, 128, 50, 139480), ('PReLU', 88, 128, 128, 50, 0), ('conv2d', 110, 128, 128, 50, 87230), ('PReLU', 110, 128, 128, 50, 0), ('conv2d', 137, 128, 128, 50, 135767), ('PReLU', 137, 128, 128, 50, 0), ('conv2d', 172, 128, 128, 50, 212248...
PReLU
260,344,659
54,080,760
50
38,689
28.75
0.176
0.342
0.079
0.008
15
0
0
1
1
OOM_CRASH
3
148,970
206.3
149,179.3
input_channels:3_num_classes:900_depth:11_arch:gradual_base_filters:22_batch:16_input_size:24_act:prelu_dropout:0.13629239948865066_dropout:False_batchnorm:True.out
11
[('conv2d', 22, 24, 24, 16, 616), ('batchnorm2d', 22, 24, 24, 16, 44), ('PReLU', 22, 24, 24, 16, 0), ('conv2d', 27, 24, 24, 16, 5373), ('batchnorm2d', 27, 24, 24, 16, 54), ('PReLU', 27, 24, 24, 16, 0), ('conv2d', 33, 24, 24, 16, 8052), ('batchnorm2d', 33, 24, 24, 16, 66), ('PReLU', 33, 24, 24, 16, 0), ('conv2d', 40, 24...
PReLU
1,431,028
789,198
16
1,881
-1
-1
-1
-1
-1
11
11
0
1
1
SUCCESSFUL
0.16
232.8
3.01
235.97
input_channels:1_num_classes:562_depth:16_arch:pyramid_base_filters:127_batch:4_input_size:154_act:prelu_dropout:0.22185963872463882_dropout:False_batchnorm:True.out
16
[('conv2d', 127, 154, 154, 4, 1270), ('batchnorm2d', 127, 154, 154, 4, 254), ('PReLU', 127, 154, 154, 4, 0), ('conv2d', 151, 154, 154, 4, 172744), ('batchnorm2d', 151, 154, 154, 4, 302), ('PReLU', 151, 154, 154, 4, 0), ('conv2d', 179, 154, 154, 4, 243440), ('batchnorm2d', 179, 154, 154, 4, 358), ('PReLU', 179, 154, 154...
PReLU
719,380,273
76,795,278
4
21,097
-1
-1
-1
-1
-1
16
16
0
1
1
SUCCESSFUL
0.36
29,271.64
292.95
29,564.95
input_channels:1_num_classes:858_depth:28_arch:bottleneck_base_filters:61_batch:54_input_size:210_act:softplus_dropout:0.3080887444745063_dropout:False_batchnorm:False.out
28
[('conv2d', 122, 210, 210, 54, 1220), ('Softplus', 122, 210, 210, 54, 0), ('conv2d', 61, 210, 210, 54, 67039), ('Softplus', 61, 210, 210, 54, 0), ('conv2d', 69, 210, 210, 54, 37950), ('Softplus', 69, 210, 210, 54, 0), ('conv2d', 79, 210, 210, 54, 49138), ('Softplus', 79, 210, 210, 54, 0), ('conv2d', 90, 210, 210, 54, 6...
Softplus
1,270,700,914
112,878,067
54
39,859
31.666667
0.229333
0.291
0.097667
0.016
28
0
0
1
1
OOM_CRASH
9.18
785,268
430.6
785,707.78
input_channels:1_num_classes:339_depth:11_arch:dense_base_filters:64_batch:60_input_size:112_act:selu_dropout:0.4414684804864618_dropout:False_batchnorm:True.out
9
[('conv2d', 32, 112, 112, 60, 320), ('batchnorm2d', 32, 112, 112, 60, 64), ('SELU', 32, 112, 112, 60, 0), ('conv2d', 32, 112, 112, 60, 9536), ('batchnorm2d', 32, 112, 112, 60, 64), ('SELU', 32, 112, 112, 60, 0), ('conv2d', 32, 112, 112, 60, 18752), ('batchnorm2d', 32, 112, 112, 60, 64), ('SELU', 32, 112, 112, 60, 0), (...
SELU
8,430,438
260,115
60
6,221
87.765625
0.858714
0.691389
0.355556
0.091439
9
9
0
1
1
SUCCESSFUL
3
6,345.6
0.99
6,349.59
input_channels:3_num_classes:270_depth:10_arch:bottleneck_base_filters:62_batch:4_input_size:208_act:swish_dropout:0.30305657129535946_dropout:True_batchnorm:True.out
10
[('conv2d', 124, 208, 208, 4, 3472), ('batchnorm2d', 124, 208, 208, 4, 248), ('SiLU', 124, 208, 208, 4, 0), ('dropout', 124, 208, 208, 4, 0), ('conv2d', 62, 208, 208, 4, 69254), ('batchnorm2d', 62, 208, 208, 4, 124), ('SiLU', 62, 208, 208, 4, 0), ('dropout', 62, 208, 208, 4, 0), ('conv2d', 91, 208, 208, 4, 50869), ('ba...
SiLU
744,315,784
22,159,833
4
17,509
-1
-1
-1
-1
-1
10
10
10
1
1
SUCCESSFUL
2
28,393.36
84.53
28,479.89
input_channels:3_num_classes:295_depth:16_arch:hourglass_base_filters:85_batch:56_input_size:98_act:gelu_dropout:0.1052414251440259_dropout:True_batchnorm:False.out
16
[('conv2d', 85, 98, 98, 56, 2380), ('GELU', 85, 98, 98, 56, 0), ('dropout', 85, 98, 98, 56, 0), ('conv2d', 126, 98, 98, 56, 96516), ('GELU', 126, 98, 98, 56, 0), ('dropout', 126, 98, 98, 56, 0), ('conv2d', 188, 98, 98, 56, 213380), ('GELU', 188, 98, 98, 56, 0), ('dropout', 188, 98, 98, 56, 0), ('conv2d', 280, 98, 98, 5...
GELU
231,418,659
58,578,384
56
40,351
59.846154
0.569182
0.874714
0.244857
0.212125
16
0
16
1
1
OOM_CRASH
6.16
131,830.16
223.46
132,059.78
input_channels:3_num_classes:176_depth:12_arch:dense_base_filters:94_batch:24_input_size:122_act:relu_dropout:0.27029909526290385_dropout:True_batchnorm:True.out
13
[('conv2d', 32, 122, 122, 24, 896), ('batchnorm2d', 32, 122, 122, 24, 64), ('ReLU', 32, 122, 122, 24, 0), ('dropout', 32, 122, 122, 24, 0), ('conv2d', 32, 122, 122, 24, 10112), ('batchnorm2d', 32, 122, 122, 24, 64), ('ReLU', 32, 122, 122, 24, 0), ('dropout', 32, 122, 122, 24, 0), ('conv2d', 32, 122, 122, 24, 19328), ('...
ReLU
14,333,965
533,094
24
4,581
88.938462
0.883175
0.747556
0.374889
0.108855
13
13
12
1
1
SUCCESSFUL
4.08
4,120.8
2.03
4,126.91
input_channels:1_num_classes:215_depth:21_arch:pyramid_base_filters:85_batch:46_input_size:22_act:leaky_relu_dropout:0.17610559785192856_dropout:False_batchnorm:True.out
21
[('conv2d', 85, 22, 22, 46, 850), ('batchnorm2d', 85, 22, 22, 46, 170), ('LeakyReLU', 85, 22, 22, 46, 0), ('conv2d', 98, 22, 22, 46, 75068), ('batchnorm2d', 98, 22, 22, 46, 196), ('LeakyReLU', 98, 22, 22, 46, 0), ('conv2d', 115, 22, 22, 46, 101545), ('batchnorm2d', 115, 22, 22, 46, 230), ('LeakyReLU', 115, 22, 22, 46, ...
LeakyReLU
17,410,218
91,768,911
46
7,655
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
0
8,146.6
350.07
8,496.67
input_channels:1_num_classes:552_depth:18_arch:residual_base_filters:26_batch:36_input_size:42_act:gelu_dropout:0.16535607523145082_dropout:True_batchnorm:False.out
18
[('conv2d', 26, 42, 42, 36, 52), ('conv2d', 26, 42, 42, 36, 260), ('GELU', 26, 42, 42, 36, 0), ('dropout', 26, 42, 42, 36, 0), ('conv2d', 26, 42, 42, 36, 6110), ('GELU', 26, 42, 42, 36, 0), ('dropout', 26, 42, 42, 36, 0), ('conv2d', 33, 21, 21, 36, 891), ('conv2d', 33, 21, 21, 36, 7755), ('GELU', 33, 21, 21, 36, 0), ('...
GELU
678,175
356,442
36
1,797
46.630769
0.447078
0.228569
0.074397
0.030088
18
0
12
1
1
SUCCESSFUL
0.36
292.68
1.36
294.4
input_channels:3_num_classes:940_depth:3_arch:uniform_base_filters:109_batch:14_input_size:62_act:gelu_dropout:0.2707037299467515_dropout:True_batchnorm:False.out
3
[('conv2d', 109, 62, 62, 14, 3052), ('GELU', 109, 62, 62, 14, 0), ('dropout', 109, 62, 62, 14, 0), ('conv2d', 109, 62, 62, 14, 107038), ('GELU', 109, 62, 62, 14, 0), ('dropout', 109, 62, 62, 14, 0), ('conv2d', 109, 62, 62, 14, 107038), ('GELU', 109, 62, 62, 14, 0), ('dropout', 109, 62, 62, 14, 0), ('adaptive_avg_pool2d...
GELU
3,772,953
320,528
14
1,997
-1
-1
-1
-1
-1
3
0
3
1
1
SUCCESSFUL
0.56
537.32
1.22
539.1
input_channels:3_num_classes:731_depth:23_arch:dense_base_filters:34_batch:52_input_size:136_act:softplus_dropout:0.32164202158416144_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 136, 136, 52, 896), ('Softplus', 32, 136, 136, 52, 0), ('conv2d', 32, 136, 136, 52, 10112), ('Softplus', 32, 136, 136, 52, 0), ('conv2d', 32, 136, 136, 52, 19328), ('Softplus', 32, 136, 136, 52, 0), ('conv2d', 32, 136, 136, 52, 28544), ('Softplus', 32, 136, 136, 52, 0), ('conv2d', 65, 136, 136, 52, 8580...
Softplus
11,876,471
1,895,930
52
13,893
93.092308
0.895859
0.900545
0.464
0.140211
21
0
0
1
1
SUCCESSFUL
10.92
11,092.12
7.23
11,110.27
input_channels:3_num_classes:735_depth:9_arch:residual_base_filters:79_batch:12_input_size:196_act:relu_dropout:0.2096125964983238_dropout:False_batchnorm:False.out
12
[('conv2d', 79, 196, 196, 12, 316), ('conv2d', 79, 196, 196, 12, 2212), ('ReLU', 79, 196, 196, 12, 0), ('conv2d', 79, 196, 196, 12, 56248), ('ReLU', 79, 196, 196, 12, 0), ('conv2d', 113, 98, 98, 12, 9040), ('conv2d', 113, 98, 98, 12, 80456), ('ReLU', 113, 98, 98, 12, 0), ('conv2d', 113, 98, 98, 12, 115034), ('ReLU', 11...
ReLU
31,178,688
1,721,798
12
4,355
-1
-1
-1
-1
-1
12
0
0
1
1
SUCCESSFUL
5.28
5,137.92
6.57
5,149.77
input_channels:3_num_classes:551_depth:13_arch:gradual_base_filters:82_batch:28_input_size:174_act:swish_dropout:0.41939246141278974_dropout:True_batchnorm:False.out
13
[('conv2d', 82, 174, 174, 28, 2296), ('SiLU', 82, 174, 174, 28, 0), ('dropout', 82, 174, 174, 28, 0), ('conv2d', 92, 174, 174, 28, 67988), ('SiLU', 92, 174, 174, 28, 0), ('dropout', 92, 174, 174, 28, 0), ('conv2d', 105, 174, 174, 28, 87045), ('SiLU', 105, 174, 174, 28, 0), ('dropout', 105, 174, 174, 28, 0), ('conv2d', ...
SiLU
225,436,560
4,693,837
28
29,557
94.34375
0.921369
0.955691
0.389345
0.023455
13
0
13
1
1
SUCCESSFUL
9.8
64,211.28
17.91
64,238.99
input_channels:3_num_classes:501_depth:16_arch:bottleneck_base_filters:31_batch:44_input_size:170_act:mish_dropout:0.3438762444708058_dropout:True_batchnorm:False.out
16
[('conv2d', 62, 170, 170, 44, 1736), ('Mish', 62, 170, 170, 44, 0), ('dropout', 62, 170, 170, 44, 0), ('conv2d', 31, 170, 170, 44, 17329), ('Mish', 31, 170, 170, 44, 0), ('dropout', 31, 170, 170, 44, 0), ('conv2d', 40, 170, 170, 44, 11200), ('Mish', 40, 170, 170, 44, 0), ('dropout', 40, 170, 170, 44, 0), ('conv2d', 54,...
Mish
547,252,950
38,869,677
44
39,789
13.2
0.0455
0.221
0.05
0
16
0
16
1
1
OOM_CRASH
14.52
244,945.36
148.28
245,108.16
input_channels:1_num_classes:47_depth:6_arch:dense_base_filters:100_batch:34_input_size:24_act:leaky_relu_dropout:0.20504516485432342_dropout:False_batchnorm:False.out
4
[('conv2d', 32, 24, 24, 34, 320), ('LeakyReLU', 32, 24, 24, 34, 0), ('conv2d', 32, 24, 24, 34, 9536), ('LeakyReLU', 32, 24, 24, 34, 0), ('conv2d', 32, 24, 24, 34, 18752), ('LeakyReLU', 32, 24, 24, 34, 0), ('conv2d', 32, 24, 24, 34, 27968), ('LeakyReLU', 32, 24, 24, 34, 0), ('adaptive_avg_pool2d', 0, 0, 129, 34, 0), ('l...
LeakyReLU
147,679
62,686
34
1,777
-1
-1
-1
-1
-1
4
0
0
1
1
SUCCESSFUL
0
76.84
0.24
77.08
input_channels:1_num_classes:988_depth:15_arch:gradual_base_filters:55_batch:58_input_size:190_act:leaky_relu_dropout:0.11620436019134202_dropout:True_batchnorm:True.out
15
[('conv2d', 55, 190, 190, 58, 550), ('batchnorm2d', 55, 190, 190, 58, 110), ('LeakyReLU', 55, 190, 190, 58, 0), ('dropout', 55, 190, 190, 58, 0), ('conv2d', 62, 190, 190, 58, 30752), ('batchnorm2d', 62, 190, 190, 58, 124), ('LeakyReLU', 62, 190, 190, 58, 0), ('dropout', 62, 190, 190, 58, 0), ('conv2d', 69, 190, 190, 58...
LeakyReLU
315,083,073
3,463,408
58
39,563
12.285714
0.0528
0
0
0.031
15
15
15
1
1
OOM_CRASH
8.12
174,281.88
13.21
174,303.21
input_channels:1_num_classes:235_depth:14_arch:hourglass_base_filters:98_batch:10_input_size:2_act:mish_dropout:0.1855796925854969_dropout:False_batchnorm:False.out
0
[]
null
0
0
10
0
1
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:354_depth:5_arch:bottleneck_base_filters:83_batch:32_input_size:120_act:mish_dropout:0.13764020111240818_dropout:True_batchnorm:True.out
5
[('conv2d', 166, 120, 120, 32, 1660), ('batchnorm2d', 166, 120, 120, 32, 332), ('Mish', 166, 120, 120, 32, 0), ('dropout', 166, 120, 120, 32, 0), ('conv2d', 83, 120, 120, 32, 124085), ('batchnorm2d', 83, 120, 120, 32, 166), ('Mish', 83, 120, 120, 32, 0), ('dropout', 83, 120, 120, 32, 0), ('conv2d', 184, 120, 120, 32, 1...
Mish
101,550,426
4,679,775
32
18,347
93.34375
0.917406
0.917704
0.336434
0.046527
5
5
5
1
1
SUCCESSFUL
1.6
30,990.72
17.85
31,010.17
input_channels:1_num_classes:782_depth:17_arch:gradual_base_filters:61_batch:18_input_size:92_act:mish_dropout:0.2708190536716335_dropout:False_batchnorm:False.out
17
[('conv2d', 61, 92, 92, 18, 610), ('Mish', 61, 92, 92, 18, 0), ('conv2d', 67, 92, 92, 18, 36850), ('Mish', 67, 92, 92, 18, 0), ('conv2d', 75, 92, 92, 18, 45300), ('Mish', 75, 92, 92, 18, 0), ('conv2d', 83, 92, 92, 18, 56108), ('Mish', 83, 92, 92, 18, 0), ('conv2d', 92, 92, 92, 18, 68816), ('Mish', 92, 92, 92, 18, 0), (...
Mish
45,351,994
4,486,187
18
6,805
93.584615
0.914016
0.899862
0.356034
0.041768
17
0
0
1
1
SUCCESSFUL
0.54
9,342.18
17.11
9,359.83
input_channels:1_num_classes:391_depth:26_arch:gradual_base_filters:92_batch:6_input_size:222_act:prelu_dropout:0.4588682674518151_dropout:False_batchnorm:False.out
26
[('conv2d', 92, 222, 222, 6, 920), ('PReLU', 92, 222, 222, 6, 0), ('conv2d', 97, 222, 222, 6, 80413), ('PReLU', 97, 222, 222, 6, 0), ('conv2d', 103, 222, 222, 6, 90022), ('PReLU', 103, 222, 222, 6, 0), ('conv2d', 110, 222, 222, 6, 102080), ('PReLU', 110, 222, 222, 6, 0), ('conv2d', 116, 222, 222, 6, 114956), ('PReLU', ...
PReLU
547,152,158
12,085,322
6
23,317
94.092308
0.939262
0.903649
0.344316
0.024911
26
0
0
1
1
SUCCESSFUL
1.14
37,569.9
46.1
37,617.14
input_channels:1_num_classes:740_depth:14_arch:hourglass_base_filters:106_batch:50_input_size:4_act:softplus_dropout:0.3692841935831195_dropout:False_batchnorm:True.out
0
[]
null
0
0
50
0
39.5
0.123
0
0
0.013
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:89_depth:25_arch:uniform_base_filters:86_batch:46_input_size:22_act:softplus_dropout:0.12084596729412836_dropout:True_batchnorm:True.out
25
[('conv2d', 86, 22, 22, 46, 2408), ('batchnorm2d', 86, 22, 22, 46, 172), ('Softplus', 86, 22, 22, 46, 0), ('dropout', 86, 22, 22, 46, 0), ('conv2d', 86, 22, 22, 46, 66650), ('batchnorm2d', 86, 22, 22, 46, 172), ('Softplus', 86, 22, 22, 46, 0), ('dropout', 86, 22, 22, 46, 0), ('conv2d', 86, 22, 22, 46, 66650), ('batchno...
Softplus
4,162,664
1,614,051
46
2,535
-1
-1
-1
-1
-1
25
25
25
1
1
SUCCESSFUL
0.46
1,826.2
6.16
1,832.82
input_channels:3_num_classes:622_depth:19_arch:dense_base_filters:127_batch:38_input_size:112_act:gelu_dropout:0.2443766473582223_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 112, 112, 38, 896), ('GELU', 32, 112, 112, 38, 0), ('conv2d', 32, 112, 112, 38, 10112), ('GELU', 32, 112, 112, 38, 0), ('conv2d', 32, 112, 112, 38, 19328), ('GELU', 32, 112, 112, 38, 0), ('conv2d', 32, 112, 112, 38, 28544), ('GELU', 32, 112, 112, 38, 0), ('conv2d', 65, 112, 112, 38, 8580), ('ReLU', 65, ...
GELU
7,252,125
1,180,640
38
6,639
90.630769
0.862815
0.830074
0.424111
0.121426
17
0
0
1
1
SUCCESSFUL
5.32
4,623.84
4.5
4,633.66
input_channels:1_num_classes:749_depth:22_arch:pyramid_base_filters:27_batch:4_input_size:2_act:softplus_dropout:0.2013728276178609_dropout:False_batchnorm:True.out
0
[]
null
0
0
4
0
16
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:916_depth:14_arch:gradual_base_filters:59_batch:22_input_size:40_act:mish_dropout:0.4735044141334601_dropout:True_batchnorm:True.out
14
[('conv2d', 59, 40, 40, 22, 590), ('batchnorm2d', 59, 40, 40, 22, 118), ('Mish', 59, 40, 40, 22, 0), ('dropout', 59, 40, 40, 22, 0), ('conv2d', 66, 40, 40, 22, 35112), ('batchnorm2d', 66, 40, 40, 22, 132), ('Mish', 66, 40, 40, 22, 0), ('dropout', 66, 40, 40, 22, 0), ('conv2d', 76, 40, 40, 22, 45220), ('batchnorm2d', 76...
Mish
13,640,538
3,470,437
22
3,201
87.707692
0.8592
0.750534
0.301017
0.0415
14
14
14
1
1
SUCCESSFUL
0.22
2,861.76
13.24
2,875.22
input_channels:3_num_classes:356_depth:16_arch:bottleneck_base_filters:124_batch:10_input_size:184_act:prelu_dropout:0.40097073358179003_dropout:True_batchnorm:True.out
16
[('conv2d', 248, 184, 184, 10, 6944), ('batchnorm2d', 248, 184, 184, 10, 496), ('PReLU', 248, 184, 184, 10, 0), ('dropout', 248, 184, 184, 10, 0), ('conv2d', 124, 184, 184, 10, 276892), ('batchnorm2d', 124, 184, 184, 10, 248), ('PReLU', 124, 184, 184, 10, 0), ('dropout', 124, 184, 184, 10, 0), ('conv2d', 149, 184, 184,...
PReLU
1,300,072,810
69,536,735
10
39,691
-1
-1
-1
-1
-1
16
16
16
1
1
OOM_CRASH
3.9
123,984.6
265.26
124,253.76
input_channels:3_num_classes:223_depth:15_arch:bottleneck_base_filters:25_batch:38_input_size:16_act:prelu_dropout:0.39378810355024074_dropout:True_batchnorm:True.out
15
[('conv2d', 50, 16, 16, 38, 1400), ('batchnorm2d', 50, 16, 16, 38, 100), ('PReLU', 50, 16, 16, 38, 0), ('dropout', 50, 16, 16, 38, 0), ('conv2d', 25, 16, 16, 38, 11275), ('batchnorm2d', 25, 16, 16, 38, 50), ('PReLU', 25, 16, 16, 38, 0), ('dropout', 25, 16, 16, 38, 0), ('conv2d', 34, 16, 16, 38, 7684), ('batchnorm2d', 3...
PReLU
5,648,277
31,752,869
38
3,301
84.4
0.849631
0.803298
0.262544
0.022737
15
15
15
1
1
SUCCESSFUL
0
2,046.68
121.13
2,167.81
input_channels:3_num_classes:513_depth:7_arch:bottleneck_base_filters:25_batch:14_input_size:2_act:tanh_dropout:0.3175702289858764_dropout:False_batchnorm:True.out
0
[]
null
0
0
14
0
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:219_depth:23_arch:pyramid_base_filters:58_batch:6_input_size:172_act:prelu_dropout:0.35900288734539976_dropout:True_batchnorm:True.out
23
[('conv2d', 58, 172, 172, 6, 1624), ('batchnorm2d', 58, 172, 172, 6, 116), ('PReLU', 58, 172, 172, 6, 0), ('dropout', 58, 172, 172, 6, 0), ('conv2d', 67, 172, 172, 6, 35041), ('batchnorm2d', 67, 172, 172, 6, 134), ('PReLU', 67, 172, 172, 6, 0), ('dropout', 67, 172, 172, 6, 0), ('conv2d', 79, 172, 172, 6, 47716), ('batc...
PReLU
1,403,467,152
89,206,347
6
39,867
-1
-1
-1
-1
-1
23
23
23
1
1
OOM_CRASH
2.04
80,307
340.3
80,649.34
input_channels:3_num_classes:578_depth:5_arch:bottleneck_base_filters:59_batch:58_input_size:94_act:gelu_dropout:0.2746266550222032_dropout:True_batchnorm:False.out
5
[('conv2d', 118, 94, 94, 58, 3304), ('GELU', 118, 94, 94, 58, 0), ('dropout', 118, 94, 94, 58, 0), ('conv2d', 59, 94, 94, 58, 62717), ('GELU', 59, 94, 94, 58, 0), ('dropout', 59, 94, 94, 58, 0), ('conv2d', 143, 94, 94, 58, 76076), ('GELU', 143, 94, 94, 58, 0), ('dropout', 143, 94, 94, 58, 0), ('conv2d', 347, 94, 94, 58...
GELU
40,029,079
3,710,397
58
16,755
93.5625
0.903375
0.965346
0.366327
0.027679
5
0
5
1
1
SUCCESSFUL
5.8
23,617.02
14.15
23,636.97
input_channels:1_num_classes:416_depth:9_arch:bottleneck_base_filters:101_batch:42_input_size:62_act:tanh_dropout:0.35943856093743654_dropout:False_batchnorm:False.out
9
[('conv2d', 202, 62, 62, 42, 2020), ('Tanh', 202, 62, 62, 42, 0), ('conv2d', 101, 62, 62, 42, 183719), ('Tanh', 101, 62, 62, 42, 0), ('conv2d', 147, 62, 62, 42, 133770), ('Tanh', 147, 62, 62, 42, 0), ('conv2d', 214, 62, 62, 42, 283336), ('Tanh', 214, 62, 62, 42, 0), ('conv2d', 312, 62, 62, 42, 601224), ('Tanh', 312, 62...
Tanh
34,306,093
23,724,110
42
11,887
95.492063
0.939238
0.959288
0.262271
0.006052
9
0
0
1
1
SUCCESSFUL
0.42
16,488.78
90.5
16,579.7
input_channels:1_num_classes:69_depth:16_arch:gradual_base_filters:16_batch:40_input_size:160_act:prelu_dropout:0.14794178032703753_dropout:False_batchnorm:True.out
16
[('conv2d', 16, 160, 160, 40, 160), ('batchnorm2d', 16, 160, 160, 40, 32), ('PReLU', 16, 160, 160, 40, 0), ('conv2d', 18, 160, 160, 40, 2610), ('batchnorm2d', 18, 160, 160, 40, 36), ('PReLU', 18, 160, 160, 40, 0), ('conv2d', 21, 160, 160, 40, 3423), ('batchnorm2d', 21, 160, 160, 40, 42), ('PReLU', 21, 160, 160, 40, 0),...
PReLU
76,723,493
710,856
40
19,557
-1
-1
-1
-1
-1
16
16
0
1
1
SUCCESSFUL
4
31,218.8
2.71
31,225.51
input_channels:1_num_classes:611_depth:12_arch:gradual_base_filters:56_batch:2_input_size:176_act:elu_dropout:0.23899109467139829_dropout:True_batchnorm:True.out
12
[('conv2d', 56, 176, 176, 2, 560), ('batchnorm2d', 56, 176, 176, 2, 112), ('ELU', 56, 176, 176, 2, 0), ('dropout', 56, 176, 176, 2, 0), ('conv2d', 65, 176, 176, 2, 32825), ('batchnorm2d', 65, 176, 176, 2, 130), ('ELU', 65, 176, 176, 2, 0), ('dropout', 65, 176, 176, 2, 0), ('conv2d', 75, 176, 176, 2, 43950), ('batchnorm...
ELU
215,594,473
2,610,437
2
3,919
92.125
0.910125
0.841909
0.358164
0.030132
12
12
12
1
1
SUCCESSFUL
0.24
4,112.14
9.96
4,122.34
input_channels:1_num_classes:984_depth:4_arch:gradual_base_filters:61_batch:56_input_size:224_act:leaky_relu_dropout:0.2416507783327655_dropout:True_batchnorm:True.out
4
[('conv2d', 61, 224, 224, 56, 610), ('batchnorm2d', 61, 224, 224, 56, 122), ('LeakyReLU', 61, 224, 224, 56, 0), ('dropout', 61, 224, 224, 56, 0), ('conv2d', 94, 224, 224, 56, 51700), ('batchnorm2d', 94, 224, 224, 56, 188), ('LeakyReLU', 94, 224, 224, 56, 0), ('dropout', 94, 224, 224, 56, 0), ('conv2d', 146, 224, 224, 5...
LeakyReLU
105,973,907
699,885
56
32,895
94.390625
0.917031
0.890396
0.431528
0.025352
4
4
4
1
1
SUCCESSFUL
10.64
56,595.84
2.67
56,609.15
input_channels:3_num_classes:27_depth:7_arch:bottleneck_base_filters:82_batch:40_input_size:114_act:selu_dropout:0.3167300233034853_dropout:False_batchnorm:True.out
7
[('conv2d', 164, 114, 114, 40, 4592), ('batchnorm2d', 164, 114, 114, 40, 328), ('SELU', 164, 114, 114, 40, 0), ('conv2d', 82, 114, 114, 40, 121114), ('batchnorm2d', 82, 114, 114, 40, 164), ('SELU', 82, 114, 114, 40, 0), ('conv2d', 140, 114, 114, 40, 103460), ('batchnorm2d', 140, 114, 114, 40, 280), ('SELU', 140, 114, 1...
SELU
114,275,079
11,568,618
40
25,721
94.6
0.931797
0.947444
0.262704
0.018618
7
7
0
1
1
SUCCESSFUL
6
46,498.4
44.13
46,548.53
input_channels:3_num_classes:68_depth:23_arch:dense_base_filters:105_batch:58_input_size:68_act:tanh_dropout:0.4169778045448288_dropout:True_batchnorm:False.out
21
[('conv2d', 32, 68, 68, 58, 896), ('Tanh', 32, 68, 68, 58, 0), ('dropout', 32, 68, 68, 58, 0), ('conv2d', 32, 68, 68, 58, 10112), ('Tanh', 32, 68, 68, 58, 0), ('dropout', 32, 68, 68, 58, 0), ('conv2d', 32, 68, 68, 58, 19328), ('Tanh', 32, 68, 68, 58, 0), ('dropout', 32, 68, 68, 58, 0), ('conv2d', 32, 68, 68, 58, 28544)...
Tanh
4,153,065
1,512,716
58
4,555
88.046875
0.8565
0.797186
0.396814
0.143673
21
0
20
1
1
SUCCESSFUL
2.9
3,616.88
5.77
3,625.55
input_channels:3_num_classes:504_depth:18_arch:residual_base_filters:73_batch:16_input_size:74_act:softplus_dropout:0.18990339432796072_dropout:False_batchnorm:False.out
24
[('conv2d', 73, 74, 74, 16, 292), ('conv2d', 73, 74, 74, 16, 2044), ('Softplus', 73, 74, 74, 16, 0), ('conv2d', 73, 74, 74, 16, 48034), ('Softplus', 73, 74, 74, 16, 0), ('conv2d', 87, 37, 37, 16, 6438), ('conv2d', 87, 37, 37, 16, 57246), ('Softplus', 87, 37, 37, 16, 0), ('conv2d', 87, 37, 37, 16, 68208), ('Softplus', 8...
Softplus
4,055,404
3,851,172
16
2,171
76.650794
0.814277
0.599593
0.260627
0.039367
24
0
0
1
1
SUCCESSFUL
0.96
890.88
14.69
906.53
input_channels:1_num_classes:503_depth:28_arch:pyramid_base_filters:64_batch:10_input_size:2_act:relu_dropout:0.3948658885729235_dropout:False_batchnorm:True.out
0
[]
null
0
0
10
0
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:111_depth:15_arch:bottleneck_base_filters:20_batch:12_input_size:122_act:elu_dropout:0.22569329048005435_dropout:True_batchnorm:False.out
15
[('conv2d', 40, 122, 122, 12, 1120), ('ELU', 40, 122, 122, 12, 0), ('dropout', 40, 122, 122, 12, 0), ('conv2d', 20, 122, 122, 12, 7220), ('ELU', 20, 122, 122, 12, 0), ('dropout', 20, 122, 122, 12, 0), ('conv2d', 27, 122, 122, 12, 4887), ('ELU', 27, 122, 122, 12, 0), ('dropout', 27, 122, 122, 12, 0), ('conv2d', 38, 122,...
ELU
232,593,961
29,076,277
12
13,581
-1
-1
-1
-1
-1
15
0
15
1
1
SUCCESSFUL
2.04
28,392.72
110.92
28,505.68
input_channels:3_num_classes:200_depth:19_arch:hourglass_base_filters:98_batch:20_input_size:90_act:prelu_dropout:0.22962876393262396_dropout:True_batchnorm:True.out
19
[('conv2d', 98, 90, 90, 20, 2744), ('batchnorm2d', 98, 90, 90, 20, 196), ('PReLU', 98, 90, 90, 20, 0), ('dropout', 98, 90, 90, 20, 0), ('conv2d', 137, 90, 90, 20, 120971), ('batchnorm2d', 137, 90, 90, 20, 274), ('PReLU', 137, 90, 90, 20, 0), ('dropout', 137, 90, 90, 20, 0), ('conv2d', 192, 90, 90, 20, 236928), ('batchn...
PReLU
334,854,498
80,797,896
20
27,469
92.523077
0.923561
0.966017
0.238155
0.009321
19
19
19
1
1
SUCCESSFUL
1.8
63,868.4
308.22
64,178.42
input_channels:3_num_classes:257_depth:21_arch:gradual_base_filters:65_batch:24_input_size:36_act:gelu_dropout:0.36069034897268715_dropout:False_batchnorm:True.out
21
[('conv2d', 65, 36, 36, 24, 1820), ('batchnorm2d', 65, 36, 36, 24, 130), ('GELU', 65, 36, 36, 24, 0), ('conv2d', 70, 36, 36, 24, 41020), ('batchnorm2d', 70, 36, 36, 24, 140), ('GELU', 70, 36, 36, 24, 0), ('conv2d', 76, 36, 36, 24, 47956), ('batchnorm2d', 76, 36, 36, 24, 152), ('GELU', 76, 36, 36, 24, 0), ('conv2d', 83,...
GELU
13,585,522
6,021,899
24
3,659
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
0.24
3,316.8
22.97
3,340.01
input_channels:1_num_classes:414_depth:24_arch:bottleneck_base_filters:78_batch:62_input_size:86_act:swish_dropout:0.2395149741994831_dropout:True_batchnorm:False.out
24
[('conv2d', 156, 86, 86, 62, 1560), ('SiLU', 156, 86, 86, 62, 0), ('dropout', 156, 86, 86, 62, 0), ('conv2d', 78, 86, 86, 62, 109590), ('SiLU', 78, 86, 86, 62, 0), ('dropout', 78, 86, 86, 62, 0), ('conv2d', 89, 86, 86, 62, 62567), ('SiLU', 89, 86, 86, 62, 0), ('dropout', 89, 86, 86, 62, 0), ('conv2d', 103, 86, 86, 62, ...
SiLU
289,533,816
100,231,793
62
39,405
-1
-1
-1
-1
-1
24
0
24
1
1
OOM_CRASH
1.86
182,607.36
382.35
182,991.57
input_channels:3_num_classes:612_depth:7_arch:hourglass_base_filters:103_batch:48_input_size:58_act:tanh_dropout:0.12147000352234932_dropout:True_batchnorm:True.out
7
[('conv2d', 103, 58, 58, 48, 2884), ('batchnorm2d', 103, 58, 58, 48, 206), ('Tanh', 103, 58, 58, 48, 0), ('dropout', 103, 58, 58, 48, 0), ('conv2d', 279, 58, 58, 48, 258912), ('batchnorm2d', 279, 58, 58, 48, 558), ('Tanh', 279, 58, 58, 48, 0), ('dropout', 279, 58, 58, 48, 0), ('conv2d', 755, 58, 58, 48, 1896560), ('bat...
Tanh
38,821,887
13,914,402
48
12,435
94.046875
0.932683
0.953536
0.298964
0.015176
7
7
7
1
1
SUCCESSFUL
1.92
17,771.04
53.08
17,826.04
input_channels:1_num_classes:377_depth:19_arch:bottleneck_base_filters:40_batch:58_input_size:172_act:tanh_dropout:0.4725083943290034_dropout:False_batchnorm:False.out
19
[('conv2d', 80, 172, 172, 58, 800), ('Tanh', 80, 172, 172, 58, 0), ('conv2d', 40, 172, 172, 58, 28840), ('Tanh', 40, 172, 172, 58, 0), ('conv2d', 49, 172, 172, 58, 17689), ('Tanh', 49, 172, 172, 58, 0), ('conv2d', 61, 172, 172, 58, 26962), ('Tanh', 61, 172, 172, 58, 0), ('conv2d', 77, 172, 172, 58, 42350), ('Tanh', 77,...
Tanh
490,386,783
55,866,681
58
39,757
40.285714
0.197222
0.475333
0.154667
0.305
19
0
0
1
1
OOM_CRASH
6.38
325,497.16
213.11
325,716.65
input_channels:3_num_classes:227_depth:20_arch:uniform_base_filters:90_batch:56_input_size:200_act:leaky_relu_dropout:0.41929263755907076_dropout:True_batchnorm:False.out
20
[('conv2d', 90, 200, 200, 56, 2520), ('LeakyReLU', 90, 200, 200, 56, 0), ('dropout', 90, 200, 200, 56, 0), ('conv2d', 90, 200, 200, 56, 72990), ('LeakyReLU', 90, 200, 200, 56, 0), ('dropout', 90, 200, 200, 56, 0), ('conv2d', 90, 200, 200, 56, 72990), ('LeakyReLU', 90, 200, 200, 56, 0), ('dropout', 90, 200, 200, 56, 0),...
LeakyReLU
216,000,544
1,409,987
56
39,631
93.84375
0.910385
0.951057
0.522865
0.016296
20
0
20
1
1
SUCCESSFUL
25.76
123,047.12
5.38
123,078.26
input_channels:1_num_classes:395_depth:11_arch:bottleneck_base_filters:58_batch:52_input_size:124_act:relu_dropout:0.16244100183207888_dropout:False_batchnorm:True.out
11
[('conv2d', 116, 124, 124, 52, 1160), ('batchnorm2d', 116, 124, 124, 52, 232), ('ReLU', 116, 124, 124, 52, 0), ('conv2d', 58, 124, 124, 52, 60610), ('batchnorm2d', 58, 124, 124, 52, 116), ('ReLU', 58, 124, 124, 52, 0), ('conv2d', 82, 124, 124, 52, 42886), ('batchnorm2d', 82, 124, 124, 52, 164), ('ReLU', 82, 124, 124, 5...
ReLU
219,525,375
25,998,147
52
40,119
-1
-1
-1
-1
-1
11
11
0
1
1
OOM_CRASH
3.12
116,122.24
99.18
116,224.54
input_channels:1_num_classes:781_depth:28_arch:residual_base_filters:67_batch:40_input_size:56_act:tanh_dropout:0.36302697241396853_dropout:False_batchnorm:False.out
18
[('conv2d', 67, 56, 56, 40, 134), ('conv2d', 67, 56, 56, 40, 670), ('Tanh', 67, 56, 56, 40, 0), ('conv2d', 67, 56, 56, 40, 40468), ('Tanh', 67, 56, 56, 40, 0), ('conv2d', 75, 28, 28, 40, 5100), ('conv2d', 75, 28, 28, 40, 45300), ('Tanh', 75, 28, 28, 40, 0), ('conv2d', 75, 28, 28, 40, 50700), ('Tanh', 75, 28, 28, 40, 0)...
Tanh
1,910,480
1,015,574
40
2,195
71.061538
0.711381
0.495527
0.215436
0.023463
18
0
0
1
1
SUCCESSFUL
0.4
1,049.2
3.87
1,053.47
input_channels:1_num_classes:241_depth:25_arch:pyramid_base_filters:46_batch:54_input_size:44_act:swish_dropout:0.22047628703151_dropout:True_batchnorm:False.out
25
[('conv2d', 46, 44, 44, 54, 460), ('SiLU', 46, 44, 44, 54, 0), ('dropout', 46, 44, 44, 54, 0), ('conv2d', 53, 44, 44, 54, 21995), ('SiLU', 53, 44, 44, 54, 0), ('dropout', 53, 44, 44, 54, 0), ('conv2d', 62, 44, 44, 54, 29636), ('SiLU', 62, 44, 44, 54, 0), ('dropout', 62, 44, 44, 54, 0), ('conv2d', 72, 44, 44, 54, 40248)...
SiLU
70,842,417
91,656,775
54
21,683
-1
-1
-1
-1
-1
25
0
25
1
1
SUCCESSFUL
0.54
38,914.56
349.64
39,264.74
input_channels:1_num_classes:285_depth:26_arch:gradual_base_filters:36_batch:44_input_size:66_act:tanh_dropout:0.24539447998167974_dropout:False_batchnorm:True.out
26
[('conv2d', 36, 66, 66, 44, 360), ('batchnorm2d', 36, 66, 66, 44, 72), ('Tanh', 36, 66, 66, 44, 0), ('conv2d', 38, 66, 66, 44, 12350), ('batchnorm2d', 38, 66, 66, 44, 76), ('Tanh', 38, 66, 66, 44, 0), ('conv2d', 42, 66, 66, 44, 14406), ('batchnorm2d', 42, 66, 66, 44, 84), ('Tanh', 42, 66, 66, 44, 0), ('conv2d', 45, 66,...
Tanh
37,937,225
3,632,721
44
9,471
-1
-1
-1
-1
-1
26
26
0
1
1
SUCCESSFUL
0.88
16,980.48
13.86
16,995.22
input_channels:1_num_classes:28_depth:28_arch:pyramid_base_filters:56_batch:34_input_size:140_act:softplus_dropout:0.20940471918261794_dropout:False_batchnorm:False.out
28
[('conv2d', 56, 140, 140, 34, 560), ('Softplus', 56, 140, 140, 34, 0), ('conv2d', 63, 140, 140, 34, 31815), ('Softplus', 63, 140, 140, 34, 0), ('conv2d', 72, 140, 140, 34, 40896), ('Softplus', 72, 140, 140, 34, 0), ('conv2d', 82, 140, 140, 34, 53218), ('Softplus', 82, 140, 140, 34, 0), ('conv2d', 93, 140, 140, 34, 6872...
Softplus
568,715,456
113,049,577
34
40,261
31.75
0.1235
0.452333
0.195
0
28
0
0
1
1
OOM_CRASH
2.38
221,286.28
431.25
221,719.91
input_channels:1_num_classes:147_depth:16_arch:gradual_base_filters:24_batch:18_input_size:28_act:swish_dropout:0.30762017862038205_dropout:False_batchnorm:True.out
16
[('conv2d', 24, 28, 28, 18, 240), ('batchnorm2d', 24, 28, 28, 18, 48), ('SiLU', 24, 28, 28, 18, 0), ('conv2d', 27, 28, 28, 18, 5859), ('batchnorm2d', 27, 28, 28, 18, 54), ('SiLU', 27, 28, 28, 18, 0), ('conv2d', 31, 28, 28, 18, 7564), ('batchnorm2d', 31, 28, 28, 18, 62), ('SiLU', 31, 28, 28, 18, 0), ('conv2d', 36, 28, 2...
SiLU
3,100,422
1,203,873
18
2,191
63.206349
0.618238
0.4104
0.138545
0.037685
16
16
0
1
1
SUCCESSFUL
0
567.72
4.59
572.31
input_channels:1_num_classes:395_depth:19_arch:gradual_base_filters:120_batch:58_input_size:134_act:leaky_relu_dropout:0.13786210270249746_dropout:True_batchnorm:True.out
19
[('conv2d', 120, 134, 134, 58, 1200), ('batchnorm2d', 120, 134, 134, 58, 240), ('LeakyReLU', 120, 134, 134, 58, 0), ('dropout', 120, 134, 134, 58, 0), ('conv2d', 129, 134, 134, 58, 139449), ('batchnorm2d', 129, 134, 134, 58, 258), ('LeakyReLU', 129, 134, 134, 58, 0), ('dropout', 129, 134, 134, 58, 0), ('conv2d', 139, 1...
LeakyReLU
347,485,762
12,032,491
58
40,073
-1
-1
-1
-1
-1
19
19
19
1
1
OOM_CRASH
4.06
192,205.04
45.9
192,255
input_channels:3_num_classes:545_depth:21_arch:hourglass_base_filters:55_batch:58_input_size:194_act:relu_dropout:0.45384507956947584_dropout:True_batchnorm:False.out
21
[('conv2d', 55, 194, 194, 58, 1540), ('ReLU', 55, 194, 194, 58, 0), ('dropout', 55, 194, 194, 58, 0), ('conv2d', 78, 194, 194, 58, 38688), ('ReLU', 78, 194, 194, 58, 0), ('dropout', 78, 194, 194, 58, 0), ('conv2d', 113, 194, 194, 58, 79439), ('ReLU', 113, 194, 194, 58, 0), ('dropout', 113, 194, 194, 58, 0), ('conv2d', ...
ReLU
1,092,950,585
72,759,039
58
35,807
-1
-1
-1
-1
-1
21
0
21
1
1
OOM_CRASH
24.94
644,848.06
277.55
645,150.55
input_channels:3_num_classes:281_depth:5_arch:residual_base_filters:16_batch:22_input_size:138_act:mish_dropout:0.38797485345141103_dropout:True_batchnorm:True.out
6
[('conv2d', 16, 138, 138, 22, 64), ('batchnorm2d', 16, 138, 138, 22, 32), ('conv2d', 16, 138, 138, 22, 448), ('batchnorm2d', 16, 138, 138, 22, 32), ('Mish', 16, 138, 138, 22, 0), ('dropout', 16, 138, 138, 22, 0), ('conv2d', 16, 138, 138, 22, 2320), ('batchnorm2d', 16, 138, 138, 22, 32), ('Mish', 16, 138, 138, 22, 0), (...
Mish
5,047,264
37,985
22
2,263
80.03125
0.773619
0.423607
0.1885
0.077268
6
6
4
1
1
SUCCESSFUL
4.84
1,101.32
0.14
1,106.3
input_channels:1_num_classes:120_depth:28_arch:residual_base_filters:95_batch:6_input_size:168_act:gelu_dropout:0.46925513809118335_dropout:False_batchnorm:True.out
30
[('conv2d', 95, 168, 168, 6, 190), ('batchnorm2d', 95, 168, 168, 6, 190), ('conv2d', 95, 168, 168, 6, 950), ('batchnorm2d', 95, 168, 168, 6, 190), ('GELU', 95, 168, 168, 6, 0), ('conv2d', 95, 168, 168, 6, 81320), ('batchnorm2d', 95, 168, 168, 6, 190), ('GELU', 95, 168, 168, 6, 0), ('conv2d', 106, 84, 84, 6, 10176), ('b...
GELU
39,747,878
5,206,040
6
3,045
-1
-1
-1
-1
-1
30
30
0
1
1
SUCCESSFUL
0.66
2,501.82
19.86
2,522.34
input_channels:3_num_classes:214_depth:8_arch:uniform_base_filters:36_batch:12_input_size:114_act:relu_dropout:0.4187944862545373_dropout:False_batchnorm:False.out
8
[('conv2d', 36, 114, 114, 12, 1008), ('ReLU', 36, 114, 114, 12, 0), ('conv2d', 36, 114, 114, 12, 11700), ('ReLU', 36, 114, 114, 12, 0), ('conv2d', 36, 114, 114, 12, 11700), ('ReLU', 36, 114, 114, 12, 0), ('conv2d', 36, 114, 114, 12, 11700), ('ReLU', 36, 114, 114, 12, 0), ('conv2d', 36, 114, 114, 12, 11700), ('ReLU', 36...
ReLU
7,486,160
90,826
12
2,009
78.784615
0.788323
0.737
0.310877
0.216474
8
0
0
1
1
SUCCESSFUL
1.8
1,028.04
0.35
1,030.19