Filename
string
Depth
int64
Activations-Params
string
Activation Function
string
Total Activations
int64
Total Parameters
int64
Batch Size
int64
Max GPU Memory (MiB)
int64
Avg GPUTL
float64
Avg GRACT
float64
Avg SMACT
float64
Avg SMOCC
float64
Avg FP32A
float64
Conv2d Count
int64
BatchNorm2d Count
int64
Dropout Count
int64
AdaptiveAvgPool2d Count
int64
Linear Count
int64
Status
string
Input Size (MB)
float64
Forward/Backward Pass Size (MB)
float64
Params Size (MB)
float64
Estimated Total Size (MB)
float64
input_channels:1_num_classes:417_depth:13_arch:residual_base_filters:32_batch:52_input_size:56_act:gelu_dropout:0.3019507091212862_dropout:True_batchnorm:True.out
18
[('conv2d', 32, 56, 56, 52, 64), ('batchnorm2d', 32, 56, 56, 52, 64), ('conv2d', 32, 56, 56, 52, 320), ('batchnorm2d', 32, 56, 56, 52, 64), ('GELU', 32, 56, 56, 52, 0), ('dropout', 32, 56, 56, 52, 0), ('conv2d', 32, 56, 56, 52, 9248), ('batchnorm2d', 32, 56, 56, 52, 64), ('GELU', 32, 56, 56, 52, 0), ('dropout', 32, 56,...
GELU
2,285,372
903,223
52
2,215
65.080645
0.564286
0.36061
0.143672
0.037125
18
18
12
1
1
SUCCESSFUL
0.52
1,178.32
3.45
1,182.29
input_channels:1_num_classes:821_depth:27_arch:gradual_base_filters:64_batch:46_input_size:52_act:mish_dropout:0.1778854331956514_dropout:False_batchnorm:True.out
27
[('conv2d', 64, 52, 52, 46, 640), ('batchnorm2d', 64, 52, 52, 46, 128), ('Mish', 64, 52, 52, 46, 0), ('conv2d', 68, 52, 52, 46, 39236), ('batchnorm2d', 68, 52, 52, 46, 136), ('Mish', 68, 52, 52, 46, 0), ('conv2d', 72, 52, 52, 46, 44136), ('batchnorm2d', 72, 52, 52, 46, 144), ('Mish', 72, 52, 52, 46, 0), ('conv2d', 77, ...
Mish
36,384,301
8,050,910
46
11,197
92.390625
0.903312
0.875727
0.337818
0.048926
27
27
0
1
1
SUCCESSFUL
0.46
17,025.52
30.71
17,056.69
input_channels:3_num_classes:992_depth:10_arch:dense_base_filters:20_batch:46_input_size:166_act:mish_dropout:0.10055840563309637_dropout:False_batchnorm:False.out
9
[('conv2d', 32, 166, 166, 46, 896), ('Mish', 32, 166, 166, 46, 0), ('conv2d', 32, 166, 166, 46, 10112), ('Mish', 32, 166, 166, 46, 0), ('conv2d', 32, 166, 166, 46, 19328), ('Mish', 32, 166, 166, 46, 0), ('conv2d', 32, 166, 166, 46, 28544), ('Mish', 32, 166, 166, 46, 0), ('conv2d', 65, 166, 166, 46, 8580), ('ReLU', 65, ...
Mish
12,402,377
390,212
46
8,185
-1
-1
-1
-1
-1
9
0
0
1
1
SUCCESSFUL
14.72
8,576.24
1.49
8,592.45
input_channels:1_num_classes:809_depth:13_arch:uniform_base_filters:94_batch:58_input_size:60_act:tanh_dropout:0.16491532987887836_dropout:False_batchnorm:False.out
13
[('conv2d', 94, 60, 60, 58, 940), ('Tanh', 94, 60, 60, 58, 0), ('conv2d', 94, 60, 60, 58, 79618), ('Tanh', 94, 60, 60, 58, 0), ('conv2d', 94, 60, 60, 58, 79618), ('Tanh', 94, 60, 60, 58, 0), ('conv2d', 94, 60, 60, 58, 79618), ('Tanh', 94, 60, 60, 58, 0), ('conv2d', 94, 60, 60, 58, 79618), ('Tanh', 94, 60, 60, 58, 0), (...
Tanh
8,800,112
1,033,211
58
3,305
-1
-1
-1
-1
-1
13
0
0
1
1
SUCCESSFUL
0.58
5,840.6
3.94
5,845.12
input_channels:3_num_classes:814_depth:8_arch:bottleneck_base_filters:77_batch:12_input_size:178_act:gelu_dropout:0.18859743451491787_dropout:True_batchnorm:True.out
8
[('conv2d', 154, 178, 178, 12, 4312), ('batchnorm2d', 154, 178, 178, 12, 308), ('GELU', 154, 178, 178, 12, 0), ('dropout', 154, 178, 178, 12, 0), ('conv2d', 77, 178, 178, 12, 106799), ('batchnorm2d', 77, 178, 178, 12, 154), ('GELU', 77, 178, 178, 12, 0), ('dropout', 77, 178, 178, 12, 0), ('conv2d', 123, 178, 178, 12, 8...
GELU
436,988,637
16,299,181
12
25,811
94.546875
0.94381
0.941582
0.274185
0.019085
8
8
8
1
1
SUCCESSFUL
4.32
50,009.28
62.18
50,075.78
input_channels:1_num_classes:514_depth:1_arch:hourglass_base_filters:56_batch:6_input_size:172_act:selu_dropout:0.1646742957700087_dropout:False_batchnorm:False.out
1
[('conv2d', 56, 172, 172, 6, 560), ('SELU', 56, 172, 172, 6, 0), ('adaptive_avg_pool2d', 0, 0, 56, 6, 0), ('linear', 0, 0, 514, 6, 29298), ('softmax', 0, 0, 514, 6, 0)]
SELU
3,314,492
29,858
6
1,825
39.516667
0.343349
0.253073
0.159036
0.047722
1
0
0
1
1
SUCCESSFUL
0.66
227.58
0.11
228.35
input_channels:1_num_classes:654_depth:24_arch:bottleneck_base_filters:76_batch:18_input_size:36_act:gelu_dropout:0.170458477829261_dropout:True_batchnorm:False.out
24
[('conv2d', 152, 36, 36, 18, 1520), ('GELU', 152, 36, 36, 18, 0), ('dropout', 152, 36, 36, 18, 0), ('conv2d', 76, 36, 36, 18, 104044), ('GELU', 76, 36, 36, 18, 0), ('dropout', 76, 36, 36, 18, 0), ('conv2d', 87, 36, 36, 18, 59595), ('GELU', 87, 36, 36, 18, 0), ('dropout', 87, 36, 36, 18, 0), ('conv2d', 101, 36, 36, 18, ...
GELU
50,341,018
99,597,068
18
6,561
-1
-1
-1
-1
-1
24
0
24
1
1
SUCCESSFUL
0
9,217.62
379.93
9,597.55
input_channels:1_num_classes:939_depth:14_arch:gradual_base_filters:55_batch:18_input_size:136_act:elu_dropout:0.46505080171104807_dropout:True_batchnorm:False.out
14
[('conv2d', 55, 136, 136, 18, 550), ('ELU', 55, 136, 136, 18, 0), ('dropout', 55, 136, 136, 18, 0), ('conv2d', 62, 136, 136, 18, 30752), ('ELU', 62, 136, 136, 18, 0), ('dropout', 62, 136, 136, 18, 0), ('conv2d', 71, 136, 136, 18, 39689), ('ELU', 71, 136, 136, 18, 0), ('dropout', 71, 136, 136, 18, 0), ('conv2d', 81, 136...
ELU
112,531,836
3,178,455
18
11,197
-1
-1
-1
-1
-1
14
0
14
1
1
SUCCESSFUL
1.26
20,605.14
12.12
20,618.52
input_channels:3_num_classes:76_depth:18_arch:pyramid_base_filters:49_batch:32_input_size:224_act:leaky_relu_dropout:0.13323178392026921_dropout:True_batchnorm:True.out
18
[('conv2d', 49, 224, 224, 32, 1372), ('batchnorm2d', 49, 224, 224, 32, 98), ('LeakyReLU', 49, 224, 224, 32, 0), ('dropout', 49, 224, 224, 32, 0), ('conv2d', 60, 224, 224, 32, 26520), ('batchnorm2d', 60, 224, 224, 32, 120), ('LeakyReLU', 60, 224, 224, 32, 0), ('dropout', 60, 224, 224, 32, 0), ('conv2d', 74, 224, 224, 32...
LeakyReLU
1,739,704,088
59,726,514
32
38,023
33.333333
0.1078
0.101
0.032
0.009
18
18
18
1
1
OOM_CRASH
18.24
530,915.52
227.84
531,161.6
input_channels:1_num_classes:436_depth:25_arch:gradual_base_filters:121_batch:62_input_size:76_act:selu_dropout:0.4526254024649924_dropout:True_batchnorm:True.out
25
[('conv2d', 121, 76, 76, 62, 1210), ('batchnorm2d', 121, 76, 76, 62, 242), ('SELU', 121, 76, 76, 62, 0), ('dropout', 121, 76, 76, 62, 0), ('conv2d', 128, 76, 76, 62, 139520), ('batchnorm2d', 128, 76, 76, 62, 256), ('SELU', 128, 76, 76, 62, 0), ('dropout', 128, 76, 76, 62, 0), ('conv2d', 135, 76, 76, 62, 155655), ('batc...
SELU
149,322,494
16,607,103
62
39,987
-1
-1
-1
-1
-1
25
25
25
1
1
SUCCESSFUL
1.24
88,291.1
63.35
88,355.69
input_channels:1_num_classes:697_depth:4_arch:residual_base_filters:89_batch:20_input_size:28_act:gelu_dropout:0.3827014736228497_dropout:True_batchnorm:True.out
6
[('conv2d', 89, 28, 28, 20, 178), ('batchnorm2d', 89, 28, 28, 20, 178), ('conv2d', 89, 28, 28, 20, 890), ('batchnorm2d', 89, 28, 28, 20, 178), ('GELU', 89, 28, 28, 20, 0), ('dropout', 89, 28, 28, 20, 0), ('conv2d', 89, 28, 28, 20, 71378), ('batchnorm2d', 89, 28, 28, 20, 178), ('GELU', 89, 28, 28, 20, 0), ('dropout', 89...
GELU
1,079,588
722,025
20
1,841
-1
-1
-1
-1
-1
6
6
4
1
1
SUCCESSFUL
0
214
2.75
216.75
input_channels:1_num_classes:115_depth:12_arch:uniform_base_filters:74_batch:40_input_size:74_act:leaky_relu_dropout:0.16395058277636876_dropout:True_batchnorm:True.out
12
[('conv2d', 74, 74, 74, 40, 740), ('batchnorm2d', 74, 74, 74, 40, 148), ('LeakyReLU', 74, 74, 74, 40, 0), ('dropout', 74, 74, 74, 40, 0), ('conv2d', 74, 74, 74, 40, 49358), ('batchnorm2d', 74, 74, 74, 40, 148), ('LeakyReLU', 74, 74, 74, 40, 0), ('dropout', 74, 74, 74, 40, 0), ('conv2d', 74, 74, 74, 40, 49358), ('batchn...
LeakyReLU
19,451,056
554,079
40
4,571
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
0.8
7,420
2.11
7,422.91
input_channels:1_num_classes:860_depth:18_arch:pyramid_base_filters:37_batch:34_input_size:140_act:prelu_dropout:0.4117418998542053_dropout:True_batchnorm:True.out
18
[('conv2d', 37, 140, 140, 34, 370), ('batchnorm2d', 37, 140, 140, 34, 74), ('PReLU', 37, 140, 140, 34, 0), ('dropout', 37, 140, 140, 34, 0), ('conv2d', 46, 140, 140, 34, 15364), ('batchnorm2d', 46, 140, 140, 34, 92), ('PReLU', 46, 140, 140, 34, 0), ('dropout', 46, 140, 140, 34, 0), ('conv2d', 57, 140, 140, 34, 23655), ...
PReLU
630,652,958
55,104,866
34
38,217
23.2
0.05475
0.306
0.076
0
18
18
18
1
1
OOM_CRASH
2.38
204,488.58
210.21
204,701.17
input_channels:3_num_classes:441_depth:17_arch:residual_base_filters:77_batch:62_input_size:52_act:swish_dropout:0.1360643321000366_dropout:True_batchnorm:False.out
18
[('conv2d', 77, 52, 52, 62, 308), ('conv2d', 77, 52, 52, 62, 2156), ('SiLU', 77, 52, 52, 62, 0), ('dropout', 77, 52, 52, 62, 0), ('conv2d', 77, 52, 52, 62, 53438), ('SiLU', 77, 52, 52, 62, 0), ('dropout', 77, 52, 52, 62, 0), ('conv2d', 93, 26, 26, 62, 7254), ('conv2d', 93, 26, 26, 62, 64542), ('SiLU', 93, 26, 26, 62, 0...
SiLU
2,861,067
2,018,731
62
2,625
71.328125
0.708778
0.650143
0.332891
0.031782
18
0
12
1
1
SUCCESSFUL
1.86
2,126.6
7.7
2,136.16
input_channels:3_num_classes:710_depth:12_arch:gradual_base_filters:74_batch:32_input_size:72_act:swish_dropout:0.37457166076128867_dropout:True_batchnorm:True.out
12
[('conv2d', 74, 72, 72, 32, 2072), ('batchnorm2d', 74, 72, 72, 32, 148), ('SiLU', 74, 72, 72, 32, 0), ('dropout', 74, 72, 72, 32, 0), ('conv2d', 84, 72, 72, 32, 56028), ('batchnorm2d', 84, 72, 72, 32, 168), ('SiLU', 84, 72, 72, 32, 0), ('dropout', 84, 72, 72, 32, 0), ('conv2d', 97, 72, 72, 32, 73429), ('batchnorm2d', 9...
SiLU
43,920,606
3,778,005
32
8,593
93.015625
0.926429
0.876263
0.366228
0.029439
12
12
12
1
1
SUCCESSFUL
1.92
13,403.52
14.41
13,419.85
input_channels:3_num_classes:456_depth:1_arch:residual_base_filters:119_batch:14_input_size:140_act:swish_dropout:0.16893416363783711_dropout:False_batchnorm:True.out
0
[]
null
0
0
14
1,451
11.730159
0.04354
0.002288
0.001
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:644_depth:27_arch:gradual_base_filters:116_batch:6_input_size:120_act:swish_dropout:0.29582516721561447_dropout:False_batchnorm:True.out
27
[('conv2d', 116, 120, 120, 6, 1160), ('batchnorm2d', 116, 120, 120, 6, 232), ('SiLU', 116, 120, 120, 6, 0), ('conv2d', 122, 120, 120, 6, 127490), ('batchnorm2d', 122, 120, 120, 6, 244), ('SiLU', 122, 120, 120, 6, 0), ('conv2d', 129, 120, 120, 6, 141771), ('batchnorm2d', 129, 120, 120, 6, 258), ('SiLU', 129, 120, 120, 6...
SiLU
293,416,150
17,207,012
6
12,059
-1
-1
-1
-1
-1
27
27
0
1
1
SUCCESSFUL
0.3
17,908.68
65.64
17,974.62
input_channels:1_num_classes:694_depth:20_arch:bottleneck_base_filters:39_batch:32_input_size:14_act:relu_dropout:0.1088288558822772_dropout:True_batchnorm:True.out
20
[('conv2d', 78, 14, 14, 32, 780), ('batchnorm2d', 78, 14, 14, 32, 156), ('ReLU', 78, 14, 14, 32, 0), ('dropout', 78, 14, 14, 32, 0), ('conv2d', 39, 14, 14, 32, 27417), ('batchnorm2d', 39, 14, 14, 32, 78), ('ReLU', 39, 14, 14, 32, 0), ('dropout', 39, 14, 14, 32, 0), ('conv2d', 48, 14, 14, 32, 16896), ('batchnorm2d', 48,...
ReLU
6,851,290
60,330,901
32
3,763
86.107692
0.843313
0.770982
0.264214
0.010527
20
20
20
1
1
SUCCESSFUL
0
2,090.56
230.14
2,320.7
input_channels:1_num_classes:413_depth:10_arch:bottleneck_base_filters:22_batch:6_input_size:136_act:relu_dropout:0.4896252580910838_dropout:False_batchnorm:True.out
10
[('conv2d', 44, 136, 136, 6, 440), ('batchnorm2d', 44, 136, 136, 6, 88), ('ReLU', 44, 136, 136, 6, 0), ('conv2d', 22, 136, 136, 6, 8734), ('batchnorm2d', 22, 136, 136, 6, 44), ('ReLU', 22, 136, 136, 6, 0), ('conv2d', 36, 136, 136, 6, 7164), ('batchnorm2d', 36, 136, 136, 6, 72), ('ReLU', 36, 136, 136, 6, 0), ('conv2d', ...
ReLU
173,901,455
13,618,783
6
7,329
95.206349
0.909662
0.920571
0.275679
0.013891
10
10
0
1
1
SUCCESSFUL
0.42
10,614.06
51.95
10,666.43
input_channels:3_num_classes:41_depth:12_arch:residual_base_filters:71_batch:56_input_size:32_act:prelu_dropout:0.3953876806993646_dropout:False_batchnorm:False.out
18
[('conv2d', 71, 32, 32, 56, 284), ('conv2d', 71, 32, 32, 56, 1988), ('PReLU', 71, 32, 32, 56, 0), ('conv2d', 71, 32, 32, 56, 45440), ('PReLU', 71, 32, 32, 56, 0), ('conv2d', 93, 16, 16, 56, 6696), ('conv2d', 93, 16, 16, 56, 59520), ('PReLU', 93, 16, 16, 56, 0), ('conv2d', 93, 16, 16, 56, 77934), ('PReLU', 93, 16, 16, 5...
PReLU
786,610
3,056,355
56
1,953
59.365079
0.585571
0.431158
0.159
0.051018
18
0
0
1
1
SUCCESSFUL
0.56
604.8
11.66
617.02
input_channels:3_num_classes:831_depth:20_arch:gradual_base_filters:99_batch:60_input_size:12_act:tanh_dropout:0.13371302105363947_dropout:True_batchnorm:True.out
20
[('conv2d', 99, 12, 12, 60, 2772), ('batchnorm2d', 99, 12, 12, 60, 198), ('Tanh', 99, 12, 12, 60, 0), ('dropout', 99, 12, 12, 60, 0), ('conv2d', 106, 12, 12, 60, 94552), ('batchnorm2d', 106, 12, 12, 60, 212), ('Tanh', 106, 12, 12, 60, 0), ('dropout', 106, 12, 12, 60, 0), ('conv2d', 115, 12, 12, 60, 109825), ('batchnorm...
Tanh
2,567,583
10,079,235
60
2,485
-1
-1
-1
-1
-1
20
20
20
1
1
SUCCESSFUL
0
1,468.8
38.45
1,507.25
input_channels:3_num_classes:971_depth:12_arch:gradual_base_filters:41_batch:60_input_size:128_act:elu_dropout:0.35364358790664574_dropout:False_batchnorm:True.out
12
[('conv2d', 41, 128, 128, 60, 1148), ('batchnorm2d', 41, 128, 128, 60, 82), ('ELU', 41, 128, 128, 60, 0), ('conv2d', 48, 128, 128, 60, 17760), ('batchnorm2d', 48, 128, 128, 60, 96), ('ELU', 48, 128, 128, 60, 0), ('conv2d', 56, 128, 128, 60, 24248), ('batchnorm2d', 56, 128, 128, 60, 112), ('ELU', 56, 128, 128, 60, 0), (...
ELU
68,765,836
1,852,478
60
25,311
93.0625
0.911234
0.927604
0.394943
0.042759
12
12
0
1
1
SUCCESSFUL
11.4
41,971.2
7.07
41,989.67
input_channels:1_num_classes:542_depth:23_arch:residual_base_filters:76_batch:2_input_size:168_act:prelu_dropout:0.30200934816000374_dropout:True_batchnorm:True.out
30
[('conv2d', 76, 168, 168, 2, 152), ('batchnorm2d', 76, 168, 168, 2, 152), ('conv2d', 76, 168, 168, 2, 760), ('batchnorm2d', 76, 168, 168, 2, 152), ('PReLU', 76, 168, 168, 2, 0), ('dropout', 76, 168, 168, 2, 0), ('conv2d', 76, 168, 168, 2, 52060), ('batchnorm2d', 76, 168, 168, 2, 152), ('PReLU', 76, 168, 168, 2, 0), ('d...
PReLU
41,237,269
5,169,172
2
2,187
57.59375
0.568175
0.330018
0.127404
0.019019
30
30
20
1
1
SUCCESSFUL
0.22
818
19.72
837.94
input_channels:3_num_classes:118_depth:24_arch:residual_base_filters:43_batch:56_input_size:128_act:softplus_dropout:0.2455096741425556_dropout:True_batchnorm:False.out
30
[('conv2d', 43, 128, 128, 56, 172), ('conv2d', 43, 128, 128, 56, 1204), ('Softplus', 43, 128, 128, 56, 0), ('dropout', 43, 128, 128, 56, 0), ('conv2d', 43, 128, 128, 56, 16684), ('Softplus', 43, 128, 128, 56, 0), ('dropout', 43, 128, 128, 56, 0), ('conv2d', 50, 64, 64, 56, 2200), ('conv2d', 50, 64, 64, 56, 19400), ('So...
Softplus
9,654,259
2,037,562
56
4,291
82.78125
0.817603
0.723875
0.382661
0.093143
30
0
20
1
1
SUCCESSFUL
10.64
6,481.44
7.77
6,499.85
input_channels:3_num_classes:973_depth:1_arch:pyramid_base_filters:26_batch:50_input_size:146_act:gelu_dropout:0.41276025585383325_dropout:False_batchnorm:True.out
1
[('conv2d', 26, 146, 146, 50, 728), ('batchnorm2d', 26, 146, 146, 50, 52), ('GELU', 26, 146, 146, 50, 0), ('adaptive_avg_pool2d', 0, 0, 26, 50, 0), ('linear', 0, 0, 973, 50, 26271), ('softmax', 0, 0, 973, 50, 0)]
GELU
1,664,620
27,051
50
2,181
33.31746
0.280046
0.133881
0.069
0.027333
1
1
0
1
1
SUCCESSFUL
12
846.5
0.1
858.6
input_channels:3_num_classes:249_depth:29_arch:uniform_base_filters:24_batch:30_input_size:152_act:gelu_dropout:0.3652254537054681_dropout:True_batchnorm:True.out
29
[('conv2d', 24, 152, 152, 30, 672), ('batchnorm2d', 24, 152, 152, 30, 48), ('GELU', 24, 152, 152, 30, 0), ('dropout', 24, 152, 152, 30, 0), ('conv2d', 24, 152, 152, 30, 5208), ('batchnorm2d', 24, 152, 152, 30, 48), ('GELU', 24, 152, 152, 30, 0), ('dropout', 24, 152, 152, 30, 0), ('conv2d', 24, 152, 152, 30, 5208), ('ba...
GELU
64,322,058
154,113
30
8,117
92.6875
0.922095
0.575962
0.258717
0.165055
29
29
29
1
1
SUCCESSFUL
7.8
18,402.6
0.59
18,410.99
input_channels:3_num_classes:702_depth:9_arch:gradual_base_filters:91_batch:4_input_size:156_act:swish_dropout:0.4589236749595428_dropout:True_batchnorm:True.out
9
[('conv2d', 91, 156, 156, 4, 2548), ('batchnorm2d', 91, 156, 156, 4, 182), ('SiLU', 91, 156, 156, 4, 0), ('dropout', 91, 156, 156, 4, 0), ('conv2d', 108, 156, 156, 4, 88560), ('batchnorm2d', 108, 156, 156, 4, 216), ('SiLU', 108, 156, 156, 4, 0), ('dropout', 108, 156, 156, 4, 0), ('conv2d', 128, 156, 156, 4, 124544), ('...
SiLU
175,220,967
3,447,648
4
5,385
-1
-1
-1
-1
-1
9
9
9
1
1
SUCCESSFUL
1.12
6,684.12
13.15
6,698.39
input_channels:3_num_classes:381_depth:3_arch:residual_base_filters:90_batch:10_input_size:176_act:softplus_dropout:0.17071729379686074_dropout:False_batchnorm:True.out
3
[('conv2d', 90, 176, 176, 10, 360), ('batchnorm2d', 90, 176, 176, 10, 180), ('conv2d', 90, 176, 176, 10, 2520), ('batchnorm2d', 90, 176, 176, 10, 180), ('Softplus', 90, 176, 176, 10, 0), ('conv2d', 90, 176, 176, 10, 72990), ('batchnorm2d', 90, 176, 176, 10, 180), ('Softplus', 90, 176, 176, 10, 0), ('adaptive_avg_pool2d...
Softplus
22,303,572
111,081
10
3,335
86.375
0.851302
0.75814
0.363684
0.062091
3
3
0
1
1
SUCCESSFUL
3.5
2,339.7
0.42
2,343.62
input_channels:1_num_classes:59_depth:9_arch:bottleneck_base_filters:58_batch:58_input_size:182_act:gelu_dropout:0.4683462168279916_dropout:False_batchnorm:False.out
9
[('conv2d', 116, 182, 182, 58, 1160), ('GELU', 116, 182, 182, 58, 0), ('conv2d', 58, 182, 182, 58, 60610), ('GELU', 58, 182, 182, 58, 0), ('conv2d', 90, 182, 182, 58, 47070), ('GELU', 90, 182, 182, 58, 0), ('conv2d', 141, 182, 182, 58, 114351), ('GELU', 141, 182, 182, 58, 0), ('conv2d', 220, 182, 182, 58, 279400), ('GE...
GELU
242,336,613
16,908,240
58
40,029
35.25
0.07125
0.001
0
0.003
9
0
0
1
1
OOM_CRASH
7.54
160,852.56
64.5
160,924.6
input_channels:3_num_classes:871_depth:26_arch:dense_base_filters:78_batch:62_input_size:106_act:gelu_dropout:0.4573072011706769_dropout:True_batchnorm:False.out
25
[('conv2d', 32, 106, 106, 62, 896), ('GELU', 32, 106, 106, 62, 0), ('dropout', 32, 106, 106, 62, 0), ('conv2d', 32, 106, 106, 62, 10112), ('GELU', 32, 106, 106, 62, 0), ('dropout', 32, 106, 106, 62, 0), ('conv2d', 32, 106, 106, 62, 19328), ('GELU', 32, 106, 106, 62, 0), ('dropout', 32, 106, 106, 62, 0), ('conv2d', 32, ...
GELU
11,171,031
2,808,466
62
11,651
-1
-1
-1
-1
-1
25
0
24
1
1
SUCCESSFUL
8.06
11,012.44
10.71
11,031.21
input_channels:1_num_classes:405_depth:29_arch:bottleneck_base_filters:21_batch:62_input_size:58_act:gelu_dropout:0.20948548306074344_dropout:True_batchnorm:True.out
29
[('conv2d', 42, 58, 58, 62, 420), ('batchnorm2d', 42, 58, 58, 62, 84), ('GELU', 42, 58, 58, 62, 0), ('dropout', 42, 58, 58, 62, 0), ('conv2d', 21, 58, 58, 62, 7959), ('batchnorm2d', 21, 58, 58, 62, 42), ('GELU', 21, 58, 58, 62, 0), ('dropout', 21, 58, 58, 62, 0), ('conv2d', 24, 58, 58, 62, 4560), ('batchnorm2d', 24, 58...
GELU
153,831,540
83,430,492
62
39,741
94.106061
0.913292
0.933679
0.241491
0.019241
29
29
29
1
1
SUCCESSFUL
0.62
90,957.1
318.26
91,275.98
input_channels:1_num_classes:356_depth:29_arch:gradual_base_filters:33_batch:32_input_size:208_act:softplus_dropout:0.13686197908478595_dropout:True_batchnorm:False.out
29
[('conv2d', 33, 208, 208, 32, 330), ('Softplus', 33, 208, 208, 32, 0), ('dropout', 33, 208, 208, 32, 0), ('conv2d', 35, 208, 208, 32, 10430), ('Softplus', 35, 208, 208, 32, 0), ('dropout', 35, 208, 208, 32, 0), ('conv2d', 38, 208, 208, 32, 12008), ('Softplus', 38, 208, 208, 32, 0), ('dropout', 38, 208, 208, 32, 0), ('c...
Softplus
397,683,642
3,698,761
32
39,625
8.6
0.08825
0
0
0
29
0
29
1
1
OOM_CRASH
5.44
129,454.08
14.11
129,473.63
input_channels:1_num_classes:295_depth:24_arch:bottleneck_base_filters:40_batch:16_input_size:54_act:relu_dropout:0.4256894123976217_dropout:False_batchnorm:True.out
24
[('conv2d', 80, 54, 54, 16, 800), ('batchnorm2d', 80, 54, 54, 16, 160), ('ReLU', 80, 54, 54, 16, 0), ('conv2d', 40, 54, 54, 16, 28840), ('batchnorm2d', 40, 54, 54, 16, 80), ('ReLU', 40, 54, 54, 16, 0), ('conv2d', 47, 54, 54, 16, 16967), ('batchnorm2d', 47, 54, 54, 16, 94), ('ReLU', 47, 54, 54, 16, 0), ('conv2d', 56, 54...
ReLU
94,716,911
78,374,227
16
9,847
94.5
0.927062
0.952614
0.241456
0.008714
24
24
0
1
1
SUCCESSFUL
0.16
15,416
298.97
15,715.13
input_channels:3_num_classes:495_depth:29_arch:dense_base_filters:44_batch:4_input_size:152_act:leaky_relu_dropout:0.39411791178831446_dropout:False_batchnorm:False.out
30
[('conv2d', 32, 152, 152, 4, 896), ('LeakyReLU', 32, 152, 152, 4, 0), ('conv2d', 32, 152, 152, 4, 10112), ('LeakyReLU', 32, 152, 152, 4, 0), ('conv2d', 32, 152, 152, 4, 19328), ('LeakyReLU', 32, 152, 152, 4, 0), ('conv2d', 32, 152, 152, 4, 28544), ('LeakyReLU', 32, 152, 152, 4, 0), ('conv2d', 65, 152, 152, 4, 8580), ('...
LeakyReLU
20,748,862
3,141,075
4
3,259
91.936508
0.906953
0.78519
0.329776
0.145722
30
0
0
1
1
SUCCESSFUL
1.04
1,512.96
11.98
1,525.98
input_channels:3_num_classes:872_depth:6_arch:uniform_base_filters:68_batch:36_input_size:8_act:gelu_dropout:0.12499189350592613_dropout:True_batchnorm:False.out
6
[('conv2d', 68, 8, 8, 36, 1904), ('GELU', 68, 8, 8, 36, 0), ('dropout', 68, 8, 8, 36, 0), ('conv2d', 68, 8, 8, 36, 41684), ('GELU', 68, 8, 8, 36, 0), ('dropout', 68, 8, 8, 36, 0), ('conv2d', 68, 8, 8, 36, 41684), ('GELU', 68, 8, 8, 36, 0), ('dropout', 68, 8, 8, 36, 0), ('conv2d', 68, 8, 8, 36, 41684), ('GELU', 68, 8, 8...
GELU
80,148
270,492
36
1,713
-1
-1
-1
-1
-1
6
0
6
1
1
SUCCESSFUL
0
29.16
1.03
30.19
input_channels:1_num_classes:682_depth:12_arch:bottleneck_base_filters:21_batch:30_input_size:126_act:relu_dropout:0.33006735172777285_dropout:True_batchnorm:True.out
12
[('conv2d', 42, 126, 126, 30, 420), ('batchnorm2d', 42, 126, 126, 30, 84), ('ReLU', 42, 126, 126, 30, 0), ('dropout', 42, 126, 126, 30, 0), ('conv2d', 21, 126, 126, 30, 7959), ('batchnorm2d', 21, 126, 126, 30, 42), ('ReLU', 21, 126, 126, 30, 0), ('dropout', 21, 126, 126, 30, 0), ('conv2d', 31, 126, 126, 30, 5890), ('ba...
ReLU
251,669,066
20,066,749
30
33,611
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
1.8
72,003
76.55
72,081.35
input_channels:1_num_classes:309_depth:8_arch:uniform_base_filters:31_batch:12_input_size:200_act:swish_dropout:0.38842981041192715_dropout:True_batchnorm:False.out
8
[('conv2d', 31, 200, 200, 12, 310), ('SiLU', 31, 200, 200, 12, 0), ('dropout', 31, 200, 200, 12, 0), ('conv2d', 31, 200, 200, 12, 8680), ('SiLU', 31, 200, 200, 12, 0), ('dropout', 31, 200, 200, 12, 0), ('conv2d', 31, 200, 200, 12, 8680), ('SiLU', 31, 200, 200, 12, 0), ('dropout', 31, 200, 200, 12, 0), ('conv2d', 31, 20...
SiLU
29,760,649
70,958
12
3,003
89.5625
0.869719
0.799625
0.445321
0.122436
8
0
8
1
1
SUCCESSFUL
1.8
3,632.88
0.27
3,634.95
input_channels:3_num_classes:800_depth:16_arch:bottleneck_base_filters:79_batch:60_input_size:28_act:selu_dropout:0.339604493595135_dropout:True_batchnorm:False.out
16
[('conv2d', 158, 28, 28, 60, 4424), ('SELU', 158, 28, 28, 60, 0), ('dropout', 158, 28, 28, 60, 0), ('conv2d', 79, 28, 28, 60, 112417), ('SELU', 79, 28, 28, 60, 0), ('dropout', 79, 28, 28, 60, 0), ('conv2d', 98, 28, 28, 60, 69776), ('SELU', 98, 28, 28, 60, 0), ('dropout', 98, 28, 28, 60, 0), ('conv2d', 121, 28, 28, 60, ...
SELU
19,463,696
57,145,024
60
8,117
-1
-1
-1
-1
-1
16
0
16
1
1
SUCCESSFUL
0.6
11,879.4
217.99
12,097.99
input_channels:1_num_classes:190_depth:29_arch:gradual_base_filters:58_batch:46_input_size:30_act:gelu_dropout:0.44212332190853243_dropout:False_batchnorm:True.out
29
[('conv2d', 58, 30, 30, 46, 580), ('batchnorm2d', 58, 30, 30, 46, 116), ('GELU', 58, 30, 30, 46, 0), ('conv2d', 61, 30, 30, 46, 31903), ('batchnorm2d', 61, 30, 30, 46, 122), ('GELU', 61, 30, 30, 46, 0), ('conv2d', 65, 30, 30, 46, 35750), ('batchnorm2d', 65, 30, 30, 46, 130), ('GELU', 65, 30, 30, 46, 0), ('conv2d', 69, ...
GELU
12,175,004
7,479,415
46
5,131
-1
-1
-1
-1
-1
29
29
0
1
1
SUCCESSFUL
0
5,697.1
28.53
5,725.63
input_channels:3_num_classes:904_depth:13_arch:residual_base_filters:80_batch:28_input_size:10_act:gelu_dropout:0.11181078414830439_dropout:True_batchnorm:True.out
6
[('conv2d', 80, 10, 10, 28, 320), ('batchnorm2d', 80, 10, 10, 28, 160), ('conv2d', 80, 10, 10, 28, 2240), ('batchnorm2d', 80, 10, 10, 28, 160), ('GELU', 80, 10, 10, 28, 0), ('dropout', 80, 10, 10, 28, 0), ('conv2d', 80, 10, 10, 28, 57680), ('batchnorm2d', 80, 10, 10, 28, 160), ('GELU', 80, 10, 10, 28, 0), ('dropout', 8...
GELU
107,410
329,986
28
1,775
28.152542
0.260952
0.080964
0.021673
0.004944
6
6
4
1
1
SUCCESSFUL
0
29.68
1.26
30.94
input_channels:1_num_classes:712_depth:7_arch:hourglass_base_filters:21_batch:12_input_size:80_act:selu_dropout:0.28029926194037796_dropout:False_batchnorm:True.out
7
[('conv2d', 21, 80, 80, 12, 210), ('batchnorm2d', 21, 80, 80, 12, 42), ('SELU', 21, 80, 80, 12, 0), ('conv2d', 96, 80, 80, 12, 18240), ('batchnorm2d', 96, 80, 80, 12, 192), ('SELU', 96, 80, 80, 12, 0), ('conv2d', 444, 80, 80, 12, 384060), ('batchnorm2d', 444, 80, 80, 12, 888), ('SELU', 444, 80, 80, 12, 0), ('conv2d', 6...
SELU
28,897,445
4,369,717
12
4,015
92.746032
0.913603
0.890222
0.299093
0.031964
7
7
0
1
1
SUCCESSFUL
0.24
3,527.52
16.67
3,544.43
input_channels:1_num_classes:718_depth:7_arch:bottleneck_base_filters:115_batch:42_input_size:124_act:prelu_dropout:0.335454769115035_dropout:True_batchnorm:False.out
7
[('conv2d', 230, 124, 124, 42, 2300), ('PReLU', 230, 124, 124, 42, 0), ('dropout', 230, 124, 124, 42, 0), ('conv2d', 115, 124, 124, 42, 238165), ('PReLU', 115, 124, 124, 42, 0), ('dropout', 115, 124, 124, 42, 0), ('conv2d', 185, 124, 124, 42, 191660), ('PReLU', 185, 124, 124, 42, 0), ('dropout', 185, 124, 124, 42, 0), ...
PReLU
155,269,551
15,516,497
42
37,877
92.815385
0.924308
0.92978
0.281136
0.007783
7
0
7
1
1
SUCCESSFUL
2.52
66,338.16
59.19
66,399.87
input_channels:3_num_classes:543_depth:16_arch:dense_base_filters:21_batch:30_input_size:156_act:selu_dropout:0.3669393163466069_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 156, 156, 30, 896), ('SELU', 32, 156, 156, 30, 0), ('conv2d', 32, 156, 156, 30, 10112), ('SELU', 32, 156, 156, 30, 0), ('conv2d', 32, 156, 156, 30, 19328), ('SELU', 32, 156, 156, 30, 0), ('conv2d', 32, 156, 156, 30, 28544), ('SELU', 32, 156, 156, 30, 0), ('conv2d', 65, 156, 156, 30, 8580), ('ReLU', 65, ...
SELU
14,067,743
1,145,090
30
8,303
-1
-1
-1
-1
-1
17
0
0
1
1
SUCCESSFUL
8.4
7,081.2
4.37
7,093.97
input_channels:3_num_classes:549_depth:11_arch:dense_base_filters:32_batch:34_input_size:32_act:swish_dropout:0.4283378741271824_dropout:True_batchnorm:True.out
9
[('conv2d', 32, 32, 32, 34, 896), ('batchnorm2d', 32, 32, 32, 34, 64), ('SiLU', 32, 32, 32, 34, 0), ('dropout', 32, 32, 32, 34, 0), ('conv2d', 32, 32, 32, 34, 10112), ('batchnorm2d', 32, 32, 32, 34, 64), ('SiLU', 32, 32, 32, 34, 0), ('dropout', 32, 32, 32, 34, 0), ('conv2d', 32, 32, 32, 34, 19328), ('batchnorm2d', 32, ...
SiLU
856,331
304,912
34
1,921
-1
-1
-1
-1
-1
9
9
8
1
1
SUCCESSFUL
0.34
338.3
1.16
339.8
input_channels:3_num_classes:348_depth:4_arch:uniform_base_filters:77_batch:60_input_size:156_act:prelu_dropout:0.2682781222593933_dropout:True_batchnorm:False.out
4
[('conv2d', 77, 156, 156, 60, 2156), ('PReLU', 77, 156, 156, 60, 0), ('dropout', 77, 156, 156, 60, 0), ('conv2d', 77, 156, 156, 60, 53438), ('PReLU', 77, 156, 156, 60, 0), ('dropout', 77, 156, 156, 60, 0), ('conv2d', 77, 156, 156, 60, 53438), ('PReLU', 77, 156, 156, 60, 0), ('dropout', 77, 156, 156, 60, 0), ('conv2d', ...
PReLU
22,487,237
189,614
60
8,567
-1
-1
-1
-1
-1
4
0
4
1
1
SUCCESSFUL
16.8
13,725
0.72
13,742.52
input_channels:1_num_classes:361_depth:27_arch:pyramid_base_filters:71_batch:26_input_size:184_act:swish_dropout:0.4960894569235962_dropout:True_batchnorm:True.out
27
[('conv2d', 71, 184, 184, 26, 710), ('batchnorm2d', 71, 184, 184, 26, 142), ('SiLU', 71, 184, 184, 26, 0), ('dropout', 71, 184, 184, 26, 0), ('conv2d', 80, 184, 184, 26, 51200), ('batchnorm2d', 80, 184, 184, 26, 160), ('SiLU', 80, 184, 184, 26, 0), ('dropout', 80, 184, 184, 26, 0), ('conv2d', 91, 184, 184, 26, 65611), ...
SiLU
2,017,278,434
118,241,778
26
39,749
-1
-1
-1
-1
-1
27
27
27
1
1
OOM_CRASH
3.38
500,194.76
451.06
500,649.2
input_channels:1_num_classes:688_depth:26_arch:uniform_base_filters:58_batch:20_input_size:114_act:mish_dropout:0.24775332092310595_dropout:True_batchnorm:True.out
26
[('conv2d', 58, 114, 114, 20, 580), ('batchnorm2d', 58, 114, 114, 20, 116), ('Mish', 58, 114, 114, 20, 0), ('dropout', 58, 114, 114, 20, 0), ('conv2d', 58, 114, 114, 20, 30334), ('batchnorm2d', 58, 114, 114, 20, 116), ('Mish', 58, 114, 114, 20, 0), ('dropout', 58, 114, 114, 20, 0), ('conv2d', 58, 114, 114, 20, 30334), ...
Mish
78,393,306
802,538
20
7,203
93.625
0.930238
0.772585
0.403849
0.054073
26
26
26
1
1
SUCCESSFUL
1
14,952.2
3.06
14,956.26
input_channels:1_num_classes:987_depth:24_arch:bottleneck_base_filters:36_batch:34_input_size:78_act:softplus_dropout:0.10730842456287962_dropout:True_batchnorm:True.out
24
[('conv2d', 72, 78, 78, 34, 720), ('batchnorm2d', 72, 78, 78, 34, 144), ('Softplus', 72, 78, 78, 34, 0), ('dropout', 72, 78, 78, 34, 0), ('conv2d', 36, 78, 78, 34, 23364), ('batchnorm2d', 36, 78, 78, 34, 72), ('Softplus', 36, 78, 78, 34, 0), ('dropout', 36, 78, 78, 34, 0), ('conv2d', 42, 78, 78, 34, 13650), ('batchnorm...
Softplus
256,407,788
76,847,283
34
39,181
-1
-1
-1
-1
-1
24
24
24
1
1
OOM_CRASH
0.68
83,139.86
293.15
83,433.69
input_channels:3_num_classes:827_depth:25_arch:dense_base_filters:105_batch:16_input_size:88_act:relu_dropout:0.12861080970915229_dropout:True_batchnorm:False.out
25
[('conv2d', 32, 88, 88, 16, 896), ('ReLU', 32, 88, 88, 16, 0), ('dropout', 32, 88, 88, 16, 0), ('conv2d', 32, 88, 88, 16, 10112), ('ReLU', 32, 88, 88, 16, 0), ('dropout', 32, 88, 88, 16, 0), ('conv2d', 32, 88, 88, 16, 19328), ('ReLU', 32, 88, 88, 16, 0), ('dropout', 32, 88, 88, 16, 0), ('conv2d', 32, 88, 88, 16, 28544)...
ReLU
7,699,895
2,777,402
16
3,931
-1
-1
-1
-1
-1
25
0
24
1
1
SUCCESSFUL
1.44
1,958.72
10.59
1,970.75
input_channels:1_num_classes:253_depth:29_arch:residual_base_filters:83_batch:44_input_size:214_act:tanh_dropout:0.39196445132119384_dropout:False_batchnorm:True.out
30
[('conv2d', 83, 214, 214, 44, 166), ('batchnorm2d', 83, 214, 214, 44, 166), ('conv2d', 83, 214, 214, 44, 830), ('batchnorm2d', 83, 214, 214, 44, 166), ('Tanh', 83, 214, 214, 44, 0), ('conv2d', 83, 214, 214, 44, 62084), ('batchnorm2d', 83, 214, 214, 44, 166), ('Tanh', 83, 214, 214, 44, 0), ('conv2d', 92, 107, 107, 44, 7...
Tanh
56,422,586
4,042,653
44
14,565
-1
-1
-1
-1
-1
30
30
0
1
1
SUCCESSFUL
7.48
26,043.16
15.42
26,066.06
input_channels:1_num_classes:470_depth:25_arch:pyramid_base_filters:115_batch:26_input_size:104_act:mish_dropout:0.365347321877984_dropout:False_batchnorm:True.out
25
[('conv2d', 115, 104, 104, 26, 1150), ('batchnorm2d', 115, 104, 104, 26, 230), ('Mish', 115, 104, 104, 26, 0), ('conv2d', 129, 104, 104, 26, 133644), ('batchnorm2d', 129, 104, 104, 26, 258), ('Mish', 129, 104, 104, 26, 0), ('conv2d', 144, 104, 104, 26, 167328), ('batchnorm2d', 144, 104, 104, 26, 288), ('Mish', 144, 104...
Mish
513,427,469
130,120,201
26
40,139
28.2
0.129
0
0
0.01
25
25
0
1
1
OOM_CRASH
1.04
135,794.1
496.37
136,291.51
input_channels:1_num_classes:367_depth:22_arch:hourglass_base_filters:47_batch:32_input_size:186_act:relu_dropout:0.21386555241383168_dropout:True_batchnorm:True.out
22
[('conv2d', 47, 186, 186, 32, 470), ('batchnorm2d', 47, 186, 186, 32, 94), ('ReLU', 47, 186, 186, 32, 0), ('dropout', 47, 186, 186, 32, 0), ('conv2d', 66, 186, 186, 32, 27984), ('batchnorm2d', 66, 186, 186, 32, 132), ('ReLU', 66, 186, 186, 32, 0), ('dropout', 66, 186, 186, 32, 0), ('conv2d', 93, 186, 186, 32, 55335), (...
ReLU
1,352,012,461
73,265,598
32
39,449
7
0.03925
0.366
0.094
0
22
22
22
1
1
OOM_CRASH
4.16
412,601.28
279.49
412,884.93
input_channels:3_num_classes:583_depth:2_arch:residual_base_filters:39_batch:12_input_size:140_act:swish_dropout:0.2326553996518017_dropout:True_batchnorm:True.out
3
[('conv2d', 39, 140, 140, 12, 156), ('batchnorm2d', 39, 140, 140, 12, 78), ('conv2d', 39, 140, 140, 12, 1092), ('batchnorm2d', 39, 140, 140, 12, 78), ('SiLU', 39, 140, 140, 12, 0), ('dropout', 39, 140, 140, 12, 0), ('conv2d', 39, 140, 140, 12, 13728), ('batchnorm2d', 39, 140, 140, 12, 78), ('SiLU', 39, 140, 140, 12, 0)...
SiLU
7,645,205
38,530
12
2,183
75.714286
0.743569
0.517033
0.247183
0.103382
3
3
2
1
1
SUCCESSFUL
2.64
909.84
0.15
912.63
input_channels:3_num_classes:508_depth:13_arch:pyramid_base_filters:44_batch:22_input_size:102_act:swish_dropout:0.4959208854346966_dropout:True_batchnorm:True.out
13
[('conv2d', 44, 102, 102, 22, 1232), ('batchnorm2d', 44, 102, 102, 22, 88), ('SiLU', 44, 102, 102, 22, 0), ('dropout', 44, 102, 102, 22, 0), ('conv2d', 59, 102, 102, 22, 23423), ('batchnorm2d', 59, 102, 102, 22, 118), ('SiLU', 59, 102, 102, 22, 0), ('dropout', 59, 102, 102, 22, 0), ('conv2d', 79, 102, 102, 22, 42028), ...
SiLU
242,415,740
35,605,147
22
29,321
95.59375
0.930453
0.953075
0.253038
0.01583
13
13
13
1
1
SUCCESSFUL
2.64
50,860.7
135.82
50,999.16
input_channels:1_num_classes:463_depth:12_arch:bottleneck_base_filters:87_batch:42_input_size:136_act:tanh_dropout:0.2502750921702941_dropout:True_batchnorm:False.out
12
[('conv2d', 174, 136, 136, 42, 1740), ('Tanh', 174, 136, 136, 42, 0), ('dropout', 174, 136, 136, 42, 0), ('conv2d', 87, 136, 136, 42, 136329), ('Tanh', 87, 136, 136, 42, 0), ('dropout', 87, 136, 136, 42, 0), ('conv2d', 115, 136, 136, 42, 90160), ('Tanh', 115, 136, 136, 42, 0), ('dropout', 115, 136, 136, 42, 0), ('conv2...
Tanh
336,481,694
37,206,692
42
39,385
-1
-1
-1
-1
-1
12
0
12
1
1
OOM_CRASH
2.94
143,760.12
141.93
143,904.99
input_channels:3_num_classes:875_depth:24_arch:dense_base_filters:109_batch:12_input_size:184_act:prelu_dropout:0.3551358535640833_dropout:True_batchnorm:True.out
25
[('conv2d', 32, 184, 184, 12, 896), ('batchnorm2d', 32, 184, 184, 12, 64), ('PReLU', 32, 184, 184, 12, 0), ('dropout', 32, 184, 184, 12, 0), ('conv2d', 32, 184, 184, 12, 10112), ('batchnorm2d', 32, 184, 184, 12, 64), ('PReLU', 32, 184, 184, 12, 0), ('dropout', 32, 184, 184, 12, 0), ('conv2d', 32, 184, 184, 12, 19328), ...
PReLU
45,606,487
2,812,956
12
11,075
-1
-1
-1
-1
-1
25
25
24
1
1
SUCCESSFUL
4.68
7,515.96
10.73
7,531.37
input_channels:1_num_classes:921_depth:13_arch:uniform_base_filters:94_batch:24_input_size:94_act:elu_dropout:0.2595834275882002_dropout:True_batchnorm:False.out
13
[('conv2d', 94, 94, 94, 24, 940), ('ELU', 94, 94, 94, 24, 0), ('dropout', 94, 94, 94, 24, 0), ('conv2d', 94, 94, 94, 24, 79618), ('ELU', 94, 94, 94, 24, 0), ('dropout', 94, 94, 94, 24, 0), ('conv2d', 94, 94, 94, 24, 79618), ('ELU', 94, 94, 94, 24, 0), ('dropout', 94, 94, 94, 24, 0), ('conv2d', 94, 94, 94, 24, 79618), (...
ELU
32,394,712
1,043,851
24
4,587
93.015625
0.909111
0.902759
0.512685
0.027
13
0
13
1
1
SUCCESSFUL
0.72
7,908.72
3.98
7,913.42
input_channels:3_num_classes:301_depth:23_arch:dense_base_filters:66_batch:42_input_size:220_act:swish_dropout:0.11789151714418332_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 220, 220, 42, 896), ('SiLU', 32, 220, 220, 42, 0), ('conv2d', 32, 220, 220, 42, 10112), ('SiLU', 32, 220, 220, 42, 0), ('conv2d', 32, 220, 220, 42, 19328), ('SiLU', 32, 220, 220, 42, 0), ('conv2d', 32, 220, 220, 42, 28544), ('SiLU', 32, 220, 220, 42, 0), ('conv2d', 65, 220, 220, 42, 8580), ('ReLU', 65, ...
SiLU
31,073,979
1,647,390
42
24,969
91.25
0.906015
0.901509
0.476364
0.132778
21
0
0
1
1
SUCCESSFUL
23.1
23,442.3
6.28
23,471.68
input_channels:1_num_classes:947_depth:5_arch:hourglass_base_filters:76_batch:52_input_size:150_act:mish_dropout:0.11412490828165037_dropout:True_batchnorm:True.out
5
[('conv2d', 76, 150, 150, 52, 760), ('batchnorm2d', 76, 150, 150, 52, 152), ('Mish', 76, 150, 150, 52, 0), ('dropout', 76, 150, 150, 52, 0), ('conv2d', 394, 150, 150, 52, 269890), ('batchnorm2d', 394, 150, 150, 52, 788), ('Mish', 394, 150, 150, 52, 0), ('dropout', 394, 150, 150, 52, 0), ('conv2d', 683, 150, 150, 52, 24...
Mish
131,041,970
4,320,022
52
38,227
91.846154
0.934615
0.940281
0.323509
0.038456
5
5
5
1
1
SUCCESSFUL
4.68
64,984.92
16.48
65,006.08
input_channels:3_num_classes:519_depth:10_arch:dense_base_filters:85_batch:26_input_size:100_act:relu_dropout:0.3253408934397337_dropout:False_batchnorm:True.out
9
[('conv2d', 32, 100, 100, 26, 896), ('batchnorm2d', 32, 100, 100, 26, 64), ('ReLU', 32, 100, 100, 26, 0), ('conv2d', 32, 100, 100, 26, 10112), ('batchnorm2d', 32, 100, 100, 26, 64), ('ReLU', 32, 100, 100, 26, 0), ('conv2d', 32, 100, 100, 26, 19328), ('batchnorm2d', 32, 100, 100, 26, 64), ('ReLU', 32, 100, 100, 26, 0), ...
ReLU
6,751,231
299,092
26
3,227
91.53125
0.825292
0.672086
0.320224
0.121692
9
9
0
1
1
SUCCESSFUL
2.86
2,205.58
1.14
2,209.58
input_channels:1_num_classes:316_depth:23_arch:dense_base_filters:29_batch:36_input_size:124_act:mish_dropout:0.1920808043382503_dropout:True_batchnorm:False.out
21
[('conv2d', 32, 124, 124, 36, 320), ('Mish', 32, 124, 124, 36, 0), ('dropout', 32, 124, 124, 36, 0), ('conv2d', 32, 124, 124, 36, 9536), ('Mish', 32, 124, 124, 36, 0), ('dropout', 32, 124, 124, 36, 0), ('conv2d', 32, 124, 124, 36, 18752), ('Mish', 32, 124, 124, 36, 0), ('dropout', 32, 124, 124, 36, 0), ('conv2d', 32, 1...
Mish
13,778,104
1,648,572
36
7,633
91.21875
0.909873
0.862625
0.450696
0.136836
21
0
20
1
1
SUCCESSFUL
2.16
7,437.24
6.29
7,445.69
input_channels:1_num_classes:653_depth:26_arch:bottleneck_base_filters:104_batch:58_input_size:220_act:selu_dropout:0.41954223264682333_dropout:False_batchnorm:True.out
26
[('conv2d', 208, 220, 220, 58, 2080), ('batchnorm2d', 208, 220, 220, 58, 416), ('SELU', 208, 220, 220, 58, 0), ('conv2d', 104, 220, 220, 58, 194792), ('batchnorm2d', 104, 220, 220, 58, 208), ('SELU', 104, 220, 220, 58, 0), ('conv2d', 117, 220, 220, 58, 109629), ('batchnorm2d', 117, 220, 220, 58, 234), ('SELU', 117, 220...
SELU
2,257,863,123
125,344,614
58
38,647
-1
-1
-1
-1
-1
26
26
0
1
1
OOM_CRASH
10.44
1,332,153.28
478.15
1,332,641.87
input_channels:1_num_classes:162_depth:1_arch:bottleneck_base_filters:107_batch:60_input_size:100_act:gelu_dropout:0.22069049748773054_dropout:False_batchnorm:True.out
1
[('conv2d', 214, 100, 100, 60, 2140), ('batchnorm2d', 214, 100, 100, 60, 428), ('GELU', 214, 100, 100, 60, 0), ('adaptive_avg_pool2d', 0, 0, 214, 60, 0), ('linear', 0, 0, 162, 60, 34830), ('softmax', 0, 0, 162, 60, 0)]
GELU
6,420,538
37,398
60
4,231
-1
-1
-1
-1
-1
1
1
0
1
1
SUCCESSFUL
2.4
3,918.6
0.14
3,921.14
input_channels:3_num_classes:705_depth:17_arch:gradual_base_filters:121_batch:44_input_size:144_act:leaky_relu_dropout:0.12165361613004554_dropout:False_batchnorm:True.out
17
[('conv2d', 121, 144, 144, 44, 3388), ('batchnorm2d', 121, 144, 144, 44, 242), ('LeakyReLU', 121, 144, 144, 44, 0), ('conv2d', 131, 144, 144, 44, 142790), ('batchnorm2d', 131, 144, 144, 44, 262), ('LeakyReLU', 131, 144, 144, 44, 0), ('conv2d', 142, 144, 144, 44, 167560), ('batchnorm2d', 142, 144, 144, 44, 284), ('Leaky...
LeakyReLU
269,673,548
10,847,547
44
39,981
32.75
0.07425
0
0
0
17
17
0
1
1
OOM_CRASH
10.56
120,703.44
41.38
120,755.38
input_channels:3_num_classes:797_depth:24_arch:dense_base_filters:72_batch:30_input_size:196_act:elu_dropout:0.2622428580789776_dropout:False_batchnorm:True.out
25
[('conv2d', 32, 196, 196, 30, 896), ('batchnorm2d', 32, 196, 196, 30, 64), ('ELU', 32, 196, 196, 30, 0), ('conv2d', 32, 196, 196, 30, 10112), ('batchnorm2d', 32, 196, 196, 30, 64), ('ELU', 32, 196, 196, 30, 0), ('conv2d', 32, 196, 196, 30, 19328), ('batchnorm2d', 32, 196, 196, 30, 64), ('ELU', 32, 196, 196, 30, 0), ('c...
ELU
40,684,843
2,757,888
30
20,205
94.59375
0.916234
0.847768
0.434411
0.113491
25
25
0
1
1
SUCCESSFUL
13.2
18,788.4
10.52
18,812.12
input_channels:1_num_classes:416_depth:24_arch:residual_base_filters:33_batch:18_input_size:40_act:gelu_dropout:0.2929302515606243_dropout:False_batchnorm:True.out
18
[('conv2d', 33, 40, 40, 18, 66), ('batchnorm2d', 33, 40, 40, 18, 66), ('conv2d', 33, 40, 40, 18, 330), ('batchnorm2d', 33, 40, 40, 18, 66), ('GELU', 33, 40, 40, 18, 0), ('conv2d', 33, 40, 40, 18, 9834), ('batchnorm2d', 33, 40, 40, 18, 66), ('GELU', 33, 40, 40, 18, 0), ('conv2d', 39, 20, 20, 18, 1326), ('batchnorm2d', 3...
GELU
806,709
338,668
18
1,821
36.539683
0.35925
0.137
0.042179
0.020807
18
18
0
1
1
SUCCESSFUL
0.18
152.28
1.29
153.75
input_channels:3_num_classes:614_depth:24_arch:dense_base_filters:43_batch:20_input_size:24_act:mish_dropout:0.37641195145937056_dropout:False_batchnorm:False.out
25
[('conv2d', 32, 24, 24, 20, 896), ('Mish', 32, 24, 24, 20, 0), ('conv2d', 32, 24, 24, 20, 10112), ('Mish', 32, 24, 24, 20, 0), ('conv2d', 32, 24, 24, 20, 19328), ('Mish', 32, 24, 24, 20, 0), ('conv2d', 32, 24, 24, 20, 28544), ('Mish', 32, 24, 24, 20, 0), ('conv2d', 65, 24, 24, 20, 8580), ('ReLU', 65, 24, 24, 20, 0), ('...
Mish
408,589
2,627,024
20
1,925
54.21875
0.537063
0.298426
0.082593
0.048281
25
0
0
1
1
SUCCESSFUL
0.2
157
10.02
167.22
input_channels:1_num_classes:427_depth:28_arch:pyramid_base_filters:67_batch:62_input_size:98_act:elu_dropout:0.46989747727348496_dropout:True_batchnorm:True.out
28
[('conv2d', 67, 98, 98, 62, 670), ('batchnorm2d', 67, 98, 98, 62, 134), ('ELU', 67, 98, 98, 62, 0), ('dropout', 67, 98, 98, 62, 0), ('conv2d', 75, 98, 98, 62, 45300), ('batchnorm2d', 75, 98, 98, 62, 150), ('ELU', 75, 98, 98, 62, 0), ('dropout', 75, 98, 98, 62, 0), ('conv2d', 85, 98, 98, 62, 57460), ('batchnorm2d', 85, ...
ELU
585,308,842
121,275,688
62
40,233
-1
-1
-1
-1
-1
28
28
28
1
1
OOM_CRASH
2.48
346,080.28
462.63
346,545.39
input_channels:3_num_classes:652_depth:14_arch:pyramid_base_filters:24_batch:14_input_size:100_act:elu_dropout:0.10770637197110307_dropout:False_batchnorm:True.out
14
[('conv2d', 24, 100, 100, 14, 672), ('batchnorm2d', 24, 100, 100, 14, 48), ('ELU', 24, 100, 100, 14, 0), ('conv2d', 32, 100, 100, 14, 6944), ('batchnorm2d', 32, 100, 100, 14, 64), ('ELU', 32, 100, 100, 14, 0), ('conv2d', 45, 100, 100, 14, 13005), ('batchnorm2d', 45, 100, 100, 14, 90), ('ELU', 45, 100, 100, 14, 0), ('co...
ELU
162,212,794
31,898,781
14
15,529
94.123077
0.929469
0.94387
0.254833
0.017962
14
14
0
1
1
SUCCESSFUL
1.54
23,101.54
121.68
23,224.76
input_channels:1_num_classes:474_depth:8_arch:uniform_base_filters:56_batch:4_input_size:110_act:mish_dropout:0.36753706474497705_dropout:False_batchnorm:False.out
8
[('conv2d', 56, 110, 110, 4, 560), ('Mish', 56, 110, 110, 4, 0), ('conv2d', 56, 110, 110, 4, 28280), ('Mish', 56, 110, 110, 4, 0), ('conv2d', 56, 110, 110, 4, 28280), ('Mish', 56, 110, 110, 4, 0), ('conv2d', 56, 110, 110, 4, 28280), ('Mish', 56, 110, 110, 4, 0), ('conv2d', 56, 110, 110, 4, 28280), ('Mish', 56, 110, 110...
Mish
10,842,604
225,538
4
1,959
-1
-1
-1
-1
-1
8
0
0
1
1
SUCCESSFUL
0.2
496.32
0.86
497.38
input_channels:3_num_classes:512_depth:27_arch:pyramid_base_filters:43_batch:24_input_size:114_act:softplus_dropout:0.21547304844521414_dropout:True_batchnorm:True.out
27
[('conv2d', 43, 114, 114, 24, 1204), ('batchnorm2d', 43, 114, 114, 24, 86), ('Softplus', 43, 114, 114, 24, 0), ('dropout', 43, 114, 114, 24, 0), ('conv2d', 49, 114, 114, 24, 19012), ('batchnorm2d', 49, 114, 114, 24, 98), ('Softplus', 49, 114, 114, 24, 0), ('dropout', 49, 114, 114, 24, 0), ('conv2d', 57, 114, 114, 24, 2...
Softplus
676,834,478
99,516,715
24
40,195
27.285714
0.131167
0.392
0.104
0.0085
27
27
27
1
1
OOM_CRASH
3.6
154,914.96
379.63
155,298.19
input_channels:1_num_classes:621_depth:11_arch:uniform_base_filters:53_batch:54_input_size:168_act:mish_dropout:0.3933455505364659_dropout:True_batchnorm:True.out
11
[('conv2d', 53, 168, 168, 54, 530), ('batchnorm2d', 53, 168, 168, 54, 106), ('Mish', 53, 168, 168, 54, 0), ('dropout', 53, 168, 168, 54, 0), ('conv2d', 53, 168, 168, 54, 25334), ('batchnorm2d', 53, 168, 168, 54, 106), ('Mish', 53, 168, 168, 54, 0), ('dropout', 53, 168, 168, 54, 0), ('conv2d', 53, 168, 168, 54, 25334), ...
Mish
65,819,663
288,570
54
15,189
-1
-1
-1
-1
-1
11
11
11
1
1
SUCCESSFUL
5.94
33,895.8
1.1
33,902.84
input_channels:3_num_classes:511_depth:6_arch:pyramid_base_filters:52_batch:36_input_size:224_act:swish_dropout:0.4798955014454188_dropout:True_batchnorm:True.out
6
[('conv2d', 52, 224, 224, 36, 1456), ('batchnorm2d', 52, 224, 224, 36, 104), ('SiLU', 52, 224, 224, 36, 0), ('dropout', 52, 224, 224, 36, 0), ('conv2d', 95, 224, 224, 36, 44555), ('batchnorm2d', 95, 224, 224, 36, 190), ('SiLU', 95, 224, 224, 36, 0), ('dropout', 95, 224, 224, 36, 0), ('conv2d', 176, 224, 224, 36, 150656...
SiLU
473,663,572
9,054,853
36
33,953
28.666667
0.061
0.224
0.085
0
6
6
6
1
1
OOM_CRASH
20.52
162,619.2
34.54
162,674.26
input_channels:1_num_classes:141_depth:13_arch:gradual_base_filters:121_batch:2_input_size:142_act:prelu_dropout:0.21301145617713774_dropout:False_batchnorm:False.out
13
[('conv2d', 121, 142, 142, 2, 1210), ('PReLU', 121, 142, 142, 2, 0), ('conv2d', 134, 142, 142, 2, 146060), ('PReLU', 134, 142, 142, 2, 0), ('conv2d', 150, 142, 142, 2, 181050), ('PReLU', 150, 142, 142, 2, 0), ('conv2d', 167, 142, 142, 2, 225617), ('PReLU', 167, 142, 142, 2, 0), ('conv2d', 186, 142, 142, 2, 279744), ('P...
PReLU
131,953,944
7,666,844
2
3,279
93.2
0.934952
0.888019
0.317778
0.009
13
0
0
1
1
SUCCESSFUL
0.16
3,020.18
29.25
3,049.59
input_channels:3_num_classes:906_depth:22_arch:gradual_base_filters:18_batch:8_input_size:124_act:leaky_relu_dropout:0.15985758238065959_dropout:False_batchnorm:False.out
22
[('conv2d', 18, 124, 124, 8, 504), ('LeakyReLU', 18, 124, 124, 8, 0), ('conv2d', 20, 124, 124, 8, 3260), ('LeakyReLU', 20, 124, 124, 8, 0), ('conv2d', 22, 124, 124, 8, 3982), ('LeakyReLU', 22, 124, 124, 8, 0), ('conv2d', 24, 124, 124, 8, 4776), ('LeakyReLU', 24, 124, 124, 8, 0), ('conv2d', 27, 124, 124, 8, 5859), ('Lea...
LeakyReLU
46,775,776
1,373,007
8
4,281
93.203125
0.919905
0.8125
0.346179
0.053291
22
0
0
1
1
SUCCESSFUL
1.44
4,282.4
5.24
4,289.08
input_channels:1_num_classes:976_depth:20_arch:gradual_base_filters:60_batch:30_input_size:142_act:softplus_dropout:0.2516432853553535_dropout:False_batchnorm:False.out
20
[('conv2d', 60, 142, 142, 30, 600), ('Softplus', 60, 142, 142, 30, 0), ('conv2d', 65, 142, 142, 30, 35165), ('Softplus', 65, 142, 142, 30, 0), ('conv2d', 71, 142, 142, 30, 41606), ('Softplus', 71, 142, 142, 30, 0), ('conv2d', 78, 142, 142, 30, 49920), ('Softplus', 78, 142, 142, 30, 0), ('conv2d', 85, 142, 142, 30, 5975...
Softplus
126,591,864
5,349,262
30
26,441
92.723077
0.909831
0.952389
0.359019
0.032362
20
0
0
1
1
SUCCESSFUL
2.4
43,461.6
20.41
43,484.41
input_channels:3_num_classes:389_depth:7_arch:uniform_base_filters:107_batch:38_input_size:174_act:swish_dropout:0.19210878272140286_dropout:True_batchnorm:False.out
7
[('conv2d', 107, 174, 174, 38, 2996), ('SiLU', 107, 174, 174, 38, 0), ('dropout', 107, 174, 174, 38, 0), ('conv2d', 107, 174, 174, 38, 103148), ('SiLU', 107, 174, 174, 38, 0), ('dropout', 107, 174, 174, 38, 0), ('conv2d', 107, 174, 174, 38, 103148), ('SiLU', 107, 174, 174, 38, 0), ('dropout', 107, 174, 174, 38, 0), ('c...
SiLU
68,031,057
663,896
38
12,201
94.412698
0.907406
0.931889
0.511093
0.038906
7
0
7
1
1
SUCCESSFUL
13.3
26,297.9
2.53
26,313.73
input_channels:3_num_classes:848_depth:27_arch:residual_base_filters:102_batch:58_input_size:6_act:selu_dropout:0.15737765558971573_dropout:False_batchnorm:True.out
0
[]
null
0
0
58
0
100
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:56_depth:16_arch:uniform_base_filters:32_batch:40_input_size:180_act:tanh_dropout:0.22869832785523464_dropout:True_batchnorm:False.out
16
[('conv2d', 32, 180, 180, 40, 896), ('Tanh', 32, 180, 180, 40, 0), ('dropout', 32, 180, 180, 40, 0), ('conv2d', 32, 180, 180, 40, 9248), ('Tanh', 32, 180, 180, 40, 0), ('dropout', 32, 180, 180, 40, 0), ('conv2d', 32, 180, 180, 40, 9248), ('Tanh', 32, 180, 180, 40, 0), ('dropout', 32, 180, 180, 40, 0), ('conv2d', 32, 18...
Tanh
49,766,544
141,464
40
8,263
91.328125
0.892922
0.893607
0.451714
0.156211
16
0
16
1
1
SUCCESSFUL
14.8
20,250
0.54
20,265.34
input_channels:1_num_classes:45_depth:1_arch:hourglass_base_filters:58_batch:52_input_size:20_act:elu_dropout:0.45740447207530954_dropout:False_batchnorm:False.out
1
[('conv2d', 58, 20, 20, 52, 580), ('ELU', 58, 20, 20, 52, 0), ('adaptive_avg_pool2d', 0, 0, 58, 52, 0), ('linear', 0, 0, 45, 52, 2655), ('softmax', 0, 0, 45, 52, 0)]
ELU
46,548
3,235
52
1,721
13.839286
0.081969
0.027698
0.008075
0.005294
1
0
0
1
1
SUCCESSFUL
0
27.56
0.01
27.57
input_channels:1_num_classes:748_depth:9_arch:gradual_base_filters:123_batch:54_input_size:154_act:softplus_dropout:0.13673292605844636_dropout:True_batchnorm:False.out
9
[('conv2d', 123, 154, 154, 54, 1230), ('Softplus', 123, 154, 154, 54, 0), ('dropout', 123, 154, 154, 54, 0), ('conv2d', 143, 154, 154, 54, 158444), ('Softplus', 143, 154, 154, 54, 0), ('dropout', 143, 154, 154, 54, 0), ('conv2d', 168, 154, 154, 54, 216384), ('Softplus', 168, 154, 154, 54, 0), ('dropout', 168, 154, 154,...
Softplus
159,160,001
5,163,654
54
37,963
-1
-1
-1
-1
-1
9
0
9
1
1
SUCCESSFUL
4.86
87,428.7
19.7
87,453.26
input_channels:3_num_classes:414_depth:12_arch:residual_base_filters:108_batch:6_input_size:112_act:tanh_dropout:0.2923332140467601_dropout:False_batchnorm:True.out
18
[('conv2d', 108, 112, 112, 6, 432), ('batchnorm2d', 108, 112, 112, 6, 216), ('conv2d', 108, 112, 112, 6, 3024), ('batchnorm2d', 108, 112, 112, 6, 216), ('Tanh', 108, 112, 112, 6, 0), ('conv2d', 108, 112, 112, 6, 105084), ('batchnorm2d', 108, 112, 112, 6, 216), ('Tanh', 108, 112, 112, 6, 0), ('conv2d', 138, 56, 56, 6, 1...
Tanh
22,505,132
5,628,472
6
2,499
88.15625
0.881175
0.657111
0.2555
0.025945
18
18
0
1
1
SUCCESSFUL
0.84
1,416.48
21.47
1,438.79
input_channels:1_num_classes:33_depth:17_arch:gradual_base_filters:29_batch:26_input_size:162_act:leaky_relu_dropout:0.27052612519388664_dropout:False_batchnorm:False.out
17
[('conv2d', 29, 162, 162, 26, 290), ('LeakyReLU', 29, 162, 162, 26, 0), ('conv2d', 32, 162, 162, 26, 8384), ('LeakyReLU', 32, 162, 162, 26, 0), ('conv2d', 37, 162, 162, 26, 10693), ('LeakyReLU', 37, 162, 162, 26, 0), ('conv2d', 42, 162, 162, 26, 14028), ('LeakyReLU', 42, 162, 162, 26, 0), ('conv2d', 47, 162, 162, 26, 1...
LeakyReLU
84,033,569
1,621,655
26
16,241
92.9375
0.9204
0.940963
0.425093
0.035179
17
0
0
1
1
SUCCESSFUL
2.6
25,003.94
6.19
25,012.73
input_channels:3_num_classes:586_depth:12_arch:hourglass_base_filters:106_batch:36_input_size:46_act:gelu_dropout:0.4080176785431111_dropout:True_batchnorm:True.out
12
[('conv2d', 106, 46, 46, 36, 2968), ('batchnorm2d', 106, 46, 46, 36, 212), ('GELU', 106, 46, 46, 36, 0), ('dropout', 106, 46, 46, 36, 0), ('conv2d', 173, 46, 46, 36, 165215), ('batchnorm2d', 173, 46, 46, 36, 346), ('GELU', 173, 46, 46, 36, 0), ('dropout', 173, 46, 46, 36, 0), ('conv2d', 284, 46, 46, 36, 442472), ('batc...
GELU
51,479,326
41,291,660
36
9,879
94.174603
0.934312
0.9525
0.251339
0.015704
12
12
12
1
1
SUCCESSFUL
0.72
17,673.84
157.52
17,832.08
input_channels:3_num_classes:707_depth:11_arch:gradual_base_filters:34_batch:40_input_size:180_act:prelu_dropout:0.33109211552422735_dropout:True_batchnorm:False.out
11
[('conv2d', 34, 180, 180, 40, 952), ('PReLU', 34, 180, 180, 40, 0), ('dropout', 34, 180, 180, 40, 0), ('conv2d', 40, 180, 180, 40, 12280), ('PReLU', 40, 180, 180, 40, 0), ('dropout', 40, 180, 180, 40, 0), ('conv2d', 49, 180, 180, 40, 17689), ('PReLU', 49, 180, 180, 40, 0), ('dropout', 49, 180, 180, 40, 0), ('conv2d', 5...
PReLU
108,574,033
1,271,577
40
22,933
-1
-1
-1
-1
-1
11
0
11
1
1
SUCCESSFUL
14.8
44,178.8
4.85
44,198.45
input_channels:3_num_classes:938_depth:14_arch:pyramid_base_filters:93_batch:24_input_size:2_act:tanh_dropout:0.40010542034925134_dropout:True_batchnorm:False.out
0
[]
null
0
0
24
0
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:963_depth:22_arch:pyramid_base_filters:125_batch:8_input_size:60_act:swish_dropout:0.2189215793160404_dropout:True_batchnorm:True.out
22
[('conv2d', 125, 60, 60, 8, 3500), ('batchnorm2d', 125, 60, 60, 8, 250), ('SiLU', 125, 60, 60, 8, 0), ('dropout', 125, 60, 60, 8, 0), ('conv2d', 141, 60, 60, 8, 158766), ('batchnorm2d', 141, 60, 60, 8, 282), ('SiLU', 141, 60, 60, 8, 0), ('dropout', 141, 60, 60, 8, 0), ('conv2d', 161, 60, 60, 8, 204470), ('batchnorm2d',...
SiLU
204,152,529
115,955,628
8
13,103
-1
-1
-1
-1
-1
22
22
22
1
1
SUCCESSFUL
0.32
15,575.52
442.34
16,018.18
input_channels:3_num_classes:385_depth:1_arch:uniform_base_filters:99_batch:10_input_size:114_act:relu_dropout:0.4917058635335074_dropout:True_batchnorm:False.out
1
[('conv2d', 99, 114, 114, 10, 2772), ('ReLU', 99, 114, 114, 10, 0), ('dropout', 99, 114, 114, 10, 0), ('adaptive_avg_pool2d', 0, 0, 99, 10, 0), ('linear', 0, 0, 385, 10, 38500), ('softmax', 0, 0, 385, 10, 0)]
ReLU
3,860,681
41,272
10
1,873
-1
-1
-1
-1
-1
1
0
1
1
1
SUCCESSFUL
1.5
392.7
0.16
394.36
input_channels:3_num_classes:24_depth:29_arch:pyramid_base_filters:112_batch:10_input_size:106_act:softplus_dropout:0.3932840134722735_dropout:True_batchnorm:True.out
29
[('conv2d', 112, 106, 106, 10, 3136), ('batchnorm2d', 112, 106, 106, 10, 224), ('Softplus', 112, 106, 106, 10, 0), ('dropout', 112, 106, 106, 10, 0), ('conv2d', 123, 106, 106, 10, 124107), ('batchnorm2d', 123, 106, 106, 10, 246), ('Softplus', 123, 106, 106, 10, 0), ('dropout', 123, 106, 106, 10, 0), ('conv2d', 136, 106...
Softplus
824,859,132
153,274,320
10
40,001
93.772727
0.943422
0.967268
0.230518
0.015089
29
29
29
1
1
SUCCESSFUL
1.3
78,664.7
584.7
79,250.7
input_channels:3_num_classes:43_depth:6_arch:dense_base_filters:35_batch:32_input_size:70_act:gelu_dropout:0.29272110115710603_dropout:True_batchnorm:False.out
4
[('conv2d', 32, 70, 70, 32, 896), ('GELU', 32, 70, 70, 32, 0), ('dropout', 32, 70, 70, 32, 0), ('conv2d', 32, 70, 70, 32, 10112), ('GELU', 32, 70, 70, 32, 0), ('dropout', 32, 70, 70, 32, 0), ('conv2d', 32, 70, 70, 32, 19328), ('GELU', 32, 70, 70, 32, 0), ('dropout', 32, 70, 70, 32, 0), ('conv2d', 32, 70, 70, 32, 28544)...
GELU
1,881,817
64,556
32
2,333
62.723077
0.6276
0.58193
0.306456
0.099767
4
0
4
1
1
SUCCESSFUL
1.92
769.28
0.25
771.45
input_channels:1_num_classes:920_depth:7_arch:bottleneck_base_filters:25_batch:14_input_size:106_act:swish_dropout:0.14879689797743068_dropout:False_batchnorm:False.out
7
[('conv2d', 50, 106, 106, 14, 500), ('SiLU', 50, 106, 106, 14, 0), ('conv2d', 25, 106, 106, 14, 11275), ('SiLU', 25, 106, 106, 14, 0), ('conv2d', 52, 106, 106, 14, 11752), ('SiLU', 52, 106, 106, 14, 0), ('conv2d', 108, 106, 106, 14, 50652), ('SiLU', 108, 106, 106, 14, 0), ('conv2d', 226, 106, 106, 14, 219898), ('SiLU',...
SiLU
43,014,230
6,320,602
14
6,207
-1
-1
-1
-1
-1
7
0
0
1
1
SUCCESSFUL
0.56
6,891.5
24.11
6,916.17
input_channels:3_num_classes:195_depth:23_arch:bottleneck_base_filters:48_batch:62_input_size:10_act:prelu_dropout:0.38926987309516303_dropout:False_batchnorm:False.out
23
[('conv2d', 96, 10, 10, 62, 2688), ('PReLU', 96, 10, 10, 62, 0), ('conv2d', 48, 10, 10, 62, 41520), ('PReLU', 48, 10, 10, 62, 0), ('conv2d', 56, 10, 10, 62, 24248), ('PReLU', 56, 10, 10, 62, 0), ('conv2d', 67, 10, 10, 62, 33835), ('PReLU', 67, 10, 10, 62, 0), ('conv2d', 80, 10, 10, 62, 48320), ('PReLU', 80, 10, 10, 62,...
PReLU
2,169,116
78,497,219
62
3,945
86.809524
0.8726
0.787339
0.262254
0.010153
23
0
0
1
1
SUCCESSFUL
0
1,538.84
299.44
1,838.28
input_channels:1_num_classes:841_depth:18_arch:hourglass_base_filters:80_batch:14_input_size:164_act:prelu_dropout:0.17821136505903568_dropout:True_batchnorm:True.out
18
[('conv2d', 80, 164, 164, 14, 800), ('batchnorm2d', 80, 164, 164, 14, 160), ('PReLU', 80, 164, 164, 14, 0), ('dropout', 80, 164, 164, 14, 0), ('conv2d', 114, 164, 164, 14, 82194), ('batchnorm2d', 114, 164, 164, 14, 228), ('PReLU', 114, 164, 164, 14, 0), ('dropout', 114, 164, 164, 14, 0), ('conv2d', 164, 164, 164, 14, 1...
PReLU
975,358,306
68,106,843
14
39,601
29.2
0.113
0.08
0.037
0
18
18
18
1
1
OOM_CRASH
1.4
130,224.36
259.81
130,485.57
input_channels:3_num_classes:89_depth:2_arch:uniform_base_filters:101_batch:8_input_size:194_act:relu_dropout:0.40290243352593114_dropout:True_batchnorm:True.out
2
[('conv2d', 101, 194, 194, 8, 2828), ('batchnorm2d', 101, 194, 194, 8, 202), ('ReLU', 101, 194, 194, 8, 0), ('dropout', 101, 194, 194, 8, 0), ('conv2d', 101, 194, 194, 8, 91910), ('batchnorm2d', 101, 194, 194, 8, 202), ('ReLU', 101, 194, 194, 8, 0), ('dropout', 101, 194, 194, 8, 0), ('adaptive_avg_pool2d', 0, 0, 101, 8...
ReLU
30,410,167
104,220
8
3,011
-1
-1
-1
-1
-1
2
2
2
1
1
SUCCESSFUL
3.44
2,320.08
0.4
2,323.92
input_channels:3_num_classes:661_depth:6_arch:dense_base_filters:28_batch:18_input_size:134_act:mish_dropout:0.46979975850567035_dropout:False_batchnorm:True.out
4
[('conv2d', 32, 134, 134, 18, 896), ('batchnorm2d', 32, 134, 134, 18, 64), ('Mish', 32, 134, 134, 18, 0), ('conv2d', 32, 134, 134, 18, 10112), ('batchnorm2d', 32, 134, 134, 18, 64), ('Mish', 32, 134, 134, 18, 0), ('conv2d', 32, 134, 134, 18, 19328), ('batchnorm2d', 32, 134, 134, 18, 64), ('Mish', 32, 134, 134, 18, 0), ...
Mish
6,896,557
146,388
18
3,183
86.59375
0.811938
0.616536
0.310929
0.145518
4
4
0
1
1
SUCCESSFUL
3.78
1,585.8
0.56
1,590.14
input_channels:1_num_classes:256_depth:17_arch:bottleneck_base_filters:91_batch:42_input_size:14_act:elu_dropout:0.20253699389088228_dropout:True_batchnorm:True.out
17
[('conv2d', 182, 14, 14, 42, 1820), ('batchnorm2d', 182, 14, 14, 42, 364), ('ELU', 182, 14, 14, 42, 0), ('dropout', 182, 14, 14, 42, 0), ('conv2d', 91, 14, 14, 42, 149149), ('batchnorm2d', 91, 14, 14, 42, 182), ('ELU', 91, 14, 14, 42, 0), ('dropout', 91, 14, 14, 42, 0), ('conv2d', 110, 14, 14, 42, 90200), ('batchnorm2d...
ELU
7,280,853
65,646,981
42
4,409
88.78125
0.879063
0.843
0.272056
0.015755
17
17
17
1
1
SUCCESSFUL
0
2,916.06
250.42
3,166.48
input_channels:1_num_classes:743_depth:29_arch:dense_base_filters:29_batch:8_input_size:64_act:tanh_dropout:0.34574918051212844_dropout:True_batchnorm:True.out
29
[('conv2d', 32, 64, 64, 8, 320), ('batchnorm2d', 32, 64, 64, 8, 64), ('Tanh', 32, 64, 64, 8, 0), ('dropout', 32, 64, 64, 8, 0), ('conv2d', 32, 64, 64, 8, 9536), ('batchnorm2d', 32, 64, 64, 8, 64), ('Tanh', 32, 64, 64, 8, 0), ('dropout', 32, 64, 64, 8, 0), ('conv2d', 32, 64, 64, 8, 18752), ('batchnorm2d', 32, 64, 64, 8,...
Tanh
6,031,630
3,672,487
8
2,491
69.046875
0.679016
0.476345
0.193782
0.021077
29
29
28
1
1
SUCCESSFUL
0.16
696.4
14.01
710.57
input_channels:3_num_classes:302_depth:10_arch:uniform_base_filters:97_batch:34_input_size:122_act:relu_dropout:0.28233122087739054_dropout:False_batchnorm:False.out
10
[('conv2d', 97, 122, 122, 34, 2716), ('ReLU', 97, 122, 122, 34, 0), ('conv2d', 97, 122, 122, 34, 84778), ('ReLU', 97, 122, 122, 34, 0), ('conv2d', 97, 122, 122, 34, 84778), ('ReLU', 97, 122, 122, 34, 0), ('conv2d', 97, 122, 122, 34, 84778), ('ReLU', 97, 122, 122, 34, 0), ('conv2d', 97, 122, 122, 34, 84778), ('ReLU', 97...
ReLU
28,875,661
795,314
34
4,935
93.84375
0.917016
0.819105
0.423947
0.014018
10
0
0
1
1
SUCCESSFUL
5.78
11,235.3
3.03
11,244.11
input_channels:3_num_classes:891_depth:29_arch:bottleneck_base_filters:29_batch:52_input_size:208_act:prelu_dropout:0.26128645305592274_dropout:False_batchnorm:False.out
29
[('conv2d', 58, 208, 208, 52, 1624), ('PReLU', 58, 208, 208, 52, 0), ('conv2d', 29, 208, 208, 52, 15167), ('PReLU', 29, 208, 208, 52, 0), ('conv2d', 33, 208, 208, 52, 8646), ('PReLU', 33, 208, 208, 52, 0), ('conv2d', 39, 208, 208, 52, 11622), ('PReLU', 39, 208, 208, 52, 0), ('conv2d', 45, 208, 208, 52, 15840), ('PReLU'...
PReLU
1,067,586,005
92,675,195
52
38,989
16.8
0.1115
0.25
0.074
0
29
0
0
1
1
OOM_CRASH
26
635,312.08
353.53
635,691.61
input_channels:1_num_classes:905_depth:12_arch:pyramid_base_filters:103_batch:12_input_size:208_act:tanh_dropout:0.3072189713942699_dropout:True_batchnorm:True.out
12
[('conv2d', 103, 208, 208, 12, 1030), ('batchnorm2d', 103, 208, 208, 12, 206), ('Tanh', 103, 208, 208, 12, 0), ('dropout', 103, 208, 208, 12, 0), ('conv2d', 132, 208, 208, 12, 122496), ('batchnorm2d', 132, 208, 208, 12, 264), ('Tanh', 132, 208, 208, 12, 0), ('dropout', 132, 208, 208, 12, 0), ('conv2d', 169, 208, 208, 1...
Tanh
1,188,725,070
46,773,602
12
40,303
39.714286
0.09425
0.0135
0.006
0.009
12
12
12
1
1
OOM_CRASH
2.04
136,038.72
178.43
136,219.19