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:513_depth:14_arch:uniform_base_filters:53_batch:10_input_size:64_act:swish_dropout:0.4483906686848328_dropout:False_batchnorm:False.out
14
[('conv2d', 53, 64, 64, 10, 530), ('SiLU', 53, 64, 64, 10, 0), ('conv2d', 53, 64, 64, 10, 25334), ('SiLU', 53, 64, 64, 10, 0), ('conv2d', 53, 64, 64, 10, 25334), ('SiLU', 53, 64, 64, 10, 0), ('conv2d', 53, 64, 64, 10, 25334), ('SiLU', 53, 64, 64, 10, 0), ('conv2d', 53, 64, 64, 10, 25334), ('SiLU', 53, 64, 64, 10, 0), (...
SiLU
6,079,543
357,574
10
2,019
-1
-1
-1
-1
-1
14
0
0
1
1
SUCCESSFUL
0.2
695.7
1.36
697.26
input_channels:1_num_classes:923_depth:10_arch:residual_base_filters:115_batch:44_input_size:114_act:prelu_dropout:0.161050540151808_dropout:False_batchnorm:True.out
15
[('conv2d', 115, 114, 114, 44, 230), ('batchnorm2d', 115, 114, 114, 44, 230), ('conv2d', 115, 114, 114, 44, 1150), ('batchnorm2d', 115, 114, 114, 44, 230), ('PReLU', 115, 114, 114, 44, 0), ('conv2d', 115, 114, 114, 44, 119140), ('batchnorm2d', 115, 114, 114, 44, 230), ('PReLU', 115, 114, 114, 44, 0), ('conv2d', 153, 57...
PReLU
25,509,953
4,933,422
44
8,769
-1
-1
-1
-1
-1
15
15
0
1
1
SUCCESSFUL
2.2
11,774.4
18.82
11,795.42
input_channels:1_num_classes:571_depth:19_arch:gradual_base_filters:69_batch:48_input_size:66_act:elu_dropout:0.21938321451654336_dropout:False_batchnorm:False.out
19
[('conv2d', 69, 66, 66, 48, 690), ('ELU', 69, 66, 66, 48, 0), ('conv2d', 75, 66, 66, 48, 46650), ('ELU', 75, 66, 66, 48, 0), ('conv2d', 82, 66, 66, 48, 55432), ('ELU', 82, 66, 66, 48, 0), ('conv2d', 90, 66, 66, 48, 66510), ('ELU', 90, 66, 66, 48, 0), ('conv2d', 98, 66, 66, 48, 79478), ('ELU', 98, 66, 66, 48, 0), ('conv...
ELU
28,576,845
5,890,080
48
9,939
92.301587
0.920297
0.907554
0.359911
0.0182
19
0
0
1
1
SUCCESSFUL
0.96
15,697.44
22.47
15,720.87
input_channels:3_num_classes:948_depth:17_arch:gradual_base_filters:123_batch:4_input_size:46_act:gelu_dropout:0.17235283270135793_dropout:True_batchnorm:False.out
17
[('conv2d', 123, 46, 46, 4, 3444), ('GELU', 123, 46, 46, 4, 0), ('dropout', 123, 46, 46, 4, 0), ('conv2d', 133, 46, 46, 4, 147364), ('GELU', 133, 46, 46, 4, 0), ('dropout', 133, 46, 46, 4, 0), ('conv2d', 145, 46, 46, 4, 173710), ('GELU', 145, 46, 46, 4, 0), ('dropout', 145, 46, 46, 4, 0), ('conv2d', 157, 46, 46, 4, 205...
GELU
27,851,034
11,192,641
4
2,287
-1
-1
-1
-1
-1
17
0
17
1
1
SUCCESSFUL
0.08
1,133.24
42.7
1,176.02
input_channels:3_num_classes:786_depth:9_arch:uniform_base_filters:19_batch:48_input_size:204_act:prelu_dropout:0.42032801701767486_dropout:True_batchnorm:True.out
9
[('conv2d', 19, 204, 204, 48, 532), ('batchnorm2d', 19, 204, 204, 48, 38), ('PReLU', 19, 204, 204, 48, 0), ('dropout', 19, 204, 204, 48, 0), ('conv2d', 19, 204, 204, 48, 3268), ('batchnorm2d', 19, 204, 204, 48, 38), ('PReLU', 19, 204, 204, 48, 0), ('dropout', 19, 204, 204, 48, 0), ('conv2d', 19, 204, 204, 48, 3268), ('...
PReLU
28,466,935
42,738
48
6,831
-1
-1
-1
-1
-1
9
9
9
1
1
SUCCESSFUL
23.04
13,031.04
0.16
13,054.24
input_channels:3_num_classes:385_depth:10_arch:gradual_base_filters:58_batch:6_input_size:62_act:leaky_relu_dropout:0.18828734033917086_dropout:True_batchnorm:False.out
10
[('conv2d', 58, 62, 62, 6, 1624), ('LeakyReLU', 58, 62, 62, 6, 0), ('dropout', 58, 62, 62, 6, 0), ('conv2d', 69, 62, 62, 6, 36087), ('LeakyReLU', 69, 62, 62, 6, 0), ('dropout', 69, 62, 62, 6, 0), ('conv2d', 82, 62, 62, 6, 51004), ('LeakyReLU', 82, 62, 62, 6, 0), ('dropout', 82, 62, 62, 6, 0), ('conv2d', 98, 62, 62, 6, ...
LeakyReLU
16,883,906
2,105,122
6
2,329
-1
-1
-1
-1
-1
10
0
10
1
1
SUCCESSFUL
0.24
1,030.5
8.03
1,038.77
input_channels:3_num_classes:624_depth:18_arch:dense_base_filters:45_batch:28_input_size:202_act:gelu_dropout:0.2096789666894114_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 202, 202, 28, 896), ('batchnorm2d', 32, 202, 202, 28, 64), ('GELU', 32, 202, 202, 28, 0), ('conv2d', 32, 202, 202, 28, 10112), ('batchnorm2d', 32, 202, 202, 28, 64), ('GELU', 32, 202, 202, 28, 0), ('conv2d', 32, 202, 202, 28, 19328), ('batchnorm2d', 32, 202, 202, 28, 64), ('GELU', 32, 202, 202, 28, 0), ...
GELU
35,378,765
1,182,694
28
13,457
92.265625
0.9188
0.78825
0.399107
0.124322
17
17
0
1
1
SUCCESSFUL
13.16
13,600.44
4.51
13,618.11
input_channels:1_num_classes:89_depth:21_arch:dense_base_filters:74_batch:26_input_size:70_act:swish_dropout:0.4576841830635253_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 70, 70, 26, 320), ('SiLU', 32, 70, 70, 26, 0), ('conv2d', 32, 70, 70, 26, 9536), ('SiLU', 32, 70, 70, 26, 0), ('conv2d', 32, 70, 70, 26, 18752), ('SiLU', 32, 70, 70, 26, 0), ('conv2d', 32, 70, 70, 26, 27968), ('SiLU', 32, 70, 70, 26, 0), ('conv2d', 64, 70, 70, 26, 8320), ('ReLU', 64, 70, 70, 26, 0), ('c...
SiLU
3,136,754
1,517,593
26
3,153
86.138462
0.834656
0.735818
0.355927
0.128764
21
0
0
1
1
SUCCESSFUL
0.52
1,463.02
5.79
1,469.33
input_channels:3_num_classes:756_depth:4_arch:uniform_base_filters:92_batch:4_input_size:10_act:mish_dropout:0.33476377420146974_dropout:True_batchnorm:False.out
4
[('conv2d', 92, 10, 10, 4, 2576), ('Mish', 92, 10, 10, 4, 0), ('dropout', 92, 10, 10, 4, 0), ('conv2d', 92, 10, 10, 4, 76268), ('Mish', 92, 10, 10, 4, 0), ('dropout', 92, 10, 10, 4, 0), ('conv2d', 92, 10, 10, 4, 76268), ('Mish', 92, 10, 10, 4, 0), ('dropout', 92, 10, 10, 4, 0), ('conv2d', 92, 10, 10, 4, 76268), ('Mish'...
Mish
112,004
301,688
4
1,707
34.888889
0.329812
0.06734
0.008849
0.00187
4
0
4
1
1
SUCCESSFUL
0
4.56
1.15
5.71
input_channels:1_num_classes:583_depth:15_arch:dense_base_filters:108_batch:34_input_size:14_act:mish_dropout:0.1626007551769232_dropout:False_batchnorm:True.out
13
[('conv2d', 32, 14, 14, 34, 320), ('batchnorm2d', 32, 14, 14, 34, 64), ('Mish', 32, 14, 14, 34, 0), ('conv2d', 32, 14, 14, 34, 9536), ('batchnorm2d', 32, 14, 14, 34, 64), ('Mish', 32, 14, 14, 34, 0), ('conv2d', 32, 14, 14, 34, 18752), ('batchnorm2d', 32, 14, 14, 34, 64), ('Mish', 32, 14, 14, 34, 0), ('conv2d', 32, 14, ...
Mish
152,014
658,695
34
1,805
-1
-1
-1
-1
-1
13
13
0
1
1
SUCCESSFUL
0
66.98
2.51
69.49
input_channels:1_num_classes:314_depth:7_arch:residual_base_filters:116_batch:24_input_size:68_act:elu_dropout:0.3374844983694133_dropout:True_batchnorm:False.out
9
[('conv2d', 116, 68, 68, 24, 232), ('conv2d', 116, 68, 68, 24, 1160), ('ELU', 116, 68, 68, 24, 0), ('dropout', 116, 68, 68, 24, 0), ('conv2d', 116, 68, 68, 24, 121220), ('ELU', 116, 68, 68, 24, 0), ('dropout', 116, 68, 68, 24, 0), ('conv2d', 174, 34, 34, 24, 20358), ('conv2d', 174, 34, 34, 24, 181830), ('ELU', 174, 34,...
ELU
7,291,783
1,761,284
24
2,715
84.095238
0.822429
0.755035
0.346719
0.028821
9
0
6
1
1
SUCCESSFUL
0.48
2,098.08
6.72
2,105.28
input_channels:3_num_classes:845_depth:23_arch:hourglass_base_filters:84_batch:36_input_size:188_act:gelu_dropout:0.4890476384202086_dropout:False_batchnorm:False.out
23
[('conv2d', 84, 188, 188, 36, 2352), ('GELU', 84, 188, 188, 36, 0), ('conv2d', 112, 188, 188, 36, 84784), ('GELU', 112, 188, 188, 36, 0), ('conv2d', 150, 188, 188, 36, 151350), ('GELU', 150, 188, 188, 36, 0), ('conv2d', 200, 188, 188, 36, 270200), ('GELU', 200, 188, 188, 36, 0), ('conv2d', 268, 188, 188, 36, 482668), (...
GELU
866,636,654
98,401,840
36
38,743
-1
-1
-1
-1
-1
23
0
0
1
1
OOM_CRASH
14.4
357,042.96
375.37
357,432.73
input_channels:1_num_classes:174_depth:7_arch:dense_base_filters:69_batch:38_input_size:216_act:selu_dropout:0.39340325370601825_dropout:True_batchnorm:False.out
4
[('conv2d', 32, 216, 216, 38, 320), ('SELU', 32, 216, 216, 38, 0), ('dropout', 32, 216, 216, 38, 0), ('conv2d', 32, 216, 216, 38, 9536), ('SELU', 32, 216, 216, 38, 0), ('dropout', 32, 216, 216, 38, 0), ('conv2d', 32, 216, 216, 38, 18752), ('SELU', 32, 216, 216, 38, 0), ('dropout', 32, 216, 216, 38, 0), ('conv2d', 32, 2...
SELU
17,916,381
79,196
38
8,885
91.539683
0.890762
0.852019
0.479296
0.146963
4
0
4
1
1
SUCCESSFUL
6.84
8,670.46
0.3
8,677.6
input_channels:3_num_classes:794_depth:1_arch:bottleneck_base_filters:86_batch:16_input_size:142_act:softplus_dropout:0.23325450448656437_dropout:True_batchnorm:True.out
1
[('conv2d', 172, 142, 142, 16, 4816), ('batchnorm2d', 172, 142, 142, 16, 344), ('Softplus', 172, 142, 142, 16, 0), ('dropout', 172, 142, 142, 16, 0), ('adaptive_avg_pool2d', 0, 0, 172, 16, 0), ('linear', 0, 0, 794, 16, 137362), ('softmax', 0, 0, 794, 16, 0)]
Softplus
13,874,592
142,522
16
2,975
-1
-1
-1
-1
-1
1
1
1
1
1
SUCCESSFUL
3.68
2,117.12
0.54
2,121.34
input_channels:1_num_classes:610_depth:8_arch:uniform_base_filters:107_batch:14_input_size:178_act:gelu_dropout:0.39331068851873485_dropout:False_batchnorm:False.out
8
[('conv2d', 107, 178, 178, 14, 1070), ('GELU', 107, 178, 178, 14, 0), ('conv2d', 107, 178, 178, 14, 103148), ('GELU', 107, 178, 178, 14, 0), ('conv2d', 107, 178, 178, 14, 103148), ('GELU', 107, 178, 178, 14, 0), ('conv2d', 107, 178, 178, 14, 103148), ('GELU', 107, 178, 178, 14, 0), ('conv2d', 107, 178, 178, 14, 103148)...
GELU
54,244,335
788,986
14
5,999
-1
-1
-1
-1
-1
8
0
0
1
1
SUCCESSFUL
1.68
8,690.78
3.01
8,695.47
input_channels:1_num_classes:349_depth:1_arch:uniform_base_filters:113_batch:6_input_size:136_act:leaky_relu_dropout:0.38619012442703327_dropout:True_batchnorm:True.out
1
[('conv2d', 113, 136, 136, 6, 1130), ('batchnorm2d', 113, 136, 136, 6, 226), ('LeakyReLU', 113, 136, 136, 6, 0), ('dropout', 113, 136, 136, 6, 0), ('adaptive_avg_pool2d', 0, 0, 113, 6, 0), ('linear', 0, 0, 349, 6, 39786), ('softmax', 0, 0, 349, 6, 0)]
LeakyReLU
8,361,003
41,142
6
2,035
-1
-1
-1
-1
-1
1
1
1
1
1
SUCCESSFUL
0.42
478.44
0.16
479.02
input_channels:3_num_classes:157_depth:9_arch:hourglass_base_filters:51_batch:24_input_size:214_act:relu_dropout:0.1039951463081275_dropout:True_batchnorm:False.out
9
[('conv2d', 51, 214, 214, 24, 1428), ('ReLU', 51, 214, 214, 24, 0), ('dropout', 51, 214, 214, 24, 0), ('conv2d', 128, 214, 214, 24, 58880), ('ReLU', 128, 214, 214, 24, 0), ('dropout', 128, 214, 214, 24, 0), ('conv2d', 323, 214, 214, 24, 372419), ('ReLU', 323, 214, 214, 24, 0), ('dropout', 323, 214, 214, 24, 0), ('conv2...
ReLU
431,398,685
15,272,145
24
37,577
51.25
0.359125
0.683
0.23625
0.184333
9
0
9
1
1
OOM_CRASH
12.48
105,321.84
58.26
105,392.58
input_channels:3_num_classes:948_depth:1_arch:bottleneck_base_filters:94_batch:24_input_size:136_act:softplus_dropout:0.30813928943591784_dropout:False_batchnorm:False.out
1
[('conv2d', 188, 136, 136, 24, 5264), ('Softplus', 188, 136, 136, 24, 0), ('adaptive_avg_pool2d', 0, 0, 188, 24, 0), ('linear', 0, 0, 948, 24, 179172), ('softmax', 0, 0, 948, 24, 0)]
Softplus
6,956,580
184,436
24
3,029
67.555556
0.613328
0.611085
0.461814
0.091845
1
0
0
1
1
SUCCESSFUL
5.04
1,910.4
0.7
1,916.14
input_channels:1_num_classes:274_depth:15_arch:bottleneck_base_filters:92_batch:38_input_size:136_act:tanh_dropout:0.33766173176147973_dropout:False_batchnorm:True.out
15
[('conv2d', 184, 136, 136, 38, 1840), ('batchnorm2d', 184, 136, 136, 38, 368), ('Tanh', 184, 136, 136, 38, 0), ('conv2d', 92, 136, 136, 38, 152444), ('batchnorm2d', 92, 136, 136, 38, 184), ('Tanh', 92, 136, 136, 38, 0), ('conv2d', 114, 136, 136, 38, 94506), ('batchnorm2d', 114, 136, 136, 38, 228), ('Tanh', 114, 136, 13...
Tanh
447,235,468
54,606,717
38
39,337
-1
-1
-1
-1
-1
15
15
0
1
1
OOM_CRASH
2.66
172,881.38
208.31
173,092.35
input_channels:1_num_classes:780_depth:23_arch:pyramid_base_filters:17_batch:34_input_size:96_act:elu_dropout:0.2433043117083035_dropout:False_batchnorm:False.out
23
[('conv2d', 17, 96, 96, 34, 170), ('ELU', 17, 96, 96, 34, 0), ('conv2d', 20, 96, 96, 34, 3080), ('ELU', 20, 96, 96, 34, 0), ('conv2d', 25, 96, 96, 34, 4525), ('ELU', 25, 96, 96, 34, 0), ('conv2d', 31, 96, 96, 34, 7006), ('ELU', 31, 96, 96, 34, 0), ('conv2d', 39, 96, 96, 34, 10920), ('ELU', 39, 96, 96, 34, 0), ('conv2d'...
ELU
161,449,110
60,542,693
34
37,437
94.151515
0.931954
0.96937
0.211056
0.007821
23
0
0
1
1
SUCCESSFUL
1.36
62,819.42
230.95
63,051.73
input_channels:1_num_classes:151_depth:19_arch:hourglass_base_filters:90_batch:24_input_size:160_act:swish_dropout:0.37321823800964116_dropout:False_batchnorm:True.out
19
[('conv2d', 90, 160, 160, 24, 900), ('batchnorm2d', 90, 160, 160, 24, 180), ('SiLU', 90, 160, 160, 24, 0), ('conv2d', 127, 160, 160, 24, 102997), ('batchnorm2d', 127, 160, 160, 24, 254), ('SiLU', 127, 160, 160, 24, 0), ('conv2d', 180, 160, 160, 24, 205920), ('batchnorm2d', 180, 160, 160, 24, 360), ('SiLU', 180, 160, 16...
SiLU
771,686,792
77,688,757
24
39,061
13.75
0.0415
0.367
0.081
0
19
19
0
1
1
OOM_CRASH
2.4
188,400
296.36
188,698.76
input_channels:1_num_classes:20_depth:26_arch:residual_base_filters:72_batch:46_input_size:38_act:tanh_dropout:0.16933492932268185_dropout:True_batchnorm:True.out
18
[('conv2d', 72, 38, 38, 46, 144), ('batchnorm2d', 72, 38, 38, 46, 144), ('conv2d', 72, 38, 38, 46, 720), ('batchnorm2d', 72, 38, 38, 46, 144), ('Tanh', 72, 38, 38, 46, 0), ('dropout', 72, 38, 38, 46, 0), ('conv2d', 72, 38, 38, 46, 46728), ('batchnorm2d', 72, 38, 38, 46, 144), ('Tanh', 72, 38, 38, 46, 0), ('dropout', 72...
Tanh
1,927,247
1,111,944
46
2,169
-1
-1
-1
-1
-1
18
18
12
1
1
SUCCESSFUL
0.46
879.06
4.24
883.76
input_channels:1_num_classes:515_depth:12_arch:residual_base_filters:115_batch:38_input_size:154_act:elu_dropout:0.37018224253137644_dropout:True_batchnorm:False.out
18
[('conv2d', 115, 154, 154, 38, 230), ('conv2d', 115, 154, 154, 38, 1150), ('ELU', 115, 154, 154, 38, 0), ('dropout', 115, 154, 154, 38, 0), ('conv2d', 115, 154, 154, 38, 119140), ('ELU', 115, 154, 154, 38, 0), ('dropout', 115, 154, 154, 38, 0), ('conv2d', 146, 77, 77, 38, 16936), ('conv2d', 146, 77, 77, 38, 151256), ('...
ELU
39,603,876
6,164,176
38
10,091
-1
-1
-1
-1
-1
18
0
12
1
1
SUCCESSFUL
3.42
18,042.78
23.51
18,069.71
input_channels:3_num_classes:416_depth:21_arch:hourglass_base_filters:33_batch:20_input_size:138_act:tanh_dropout:0.27208883738915857_dropout:False_batchnorm:True.out
21
[('conv2d', 33, 138, 138, 20, 924), ('batchnorm2d', 33, 138, 138, 20, 66), ('Tanh', 33, 138, 138, 20, 0), ('conv2d', 49, 138, 138, 20, 14602), ('batchnorm2d', 49, 138, 138, 20, 98), ('Tanh', 49, 138, 138, 20, 0), ('conv2d', 75, 138, 138, 20, 33150), ('batchnorm2d', 75, 138, 138, 20, 150), ('Tanh', 75, 138, 138, 20, 0),...
Tanh
477,452,989
59,760,992
20
39,251
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
4.4
97,138
227.97
97,370.37
input_channels:3_num_classes:413_depth:25_arch:dense_base_filters:123_batch:52_input_size:28_act:relu_dropout:0.1525680930268734_dropout:False_batchnorm:False.out
25
[('conv2d', 32, 28, 28, 52, 896), ('ReLU', 32, 28, 28, 52, 0), ('conv2d', 32, 28, 28, 52, 10112), ('ReLU', 32, 28, 28, 52, 0), ('conv2d', 32, 28, 28, 52, 19328), ('ReLU', 32, 28, 28, 52, 0), ('conv2d', 32, 28, 28, 52, 28544), ('ReLU', 32, 28, 28, 52, 0), ('conv2d', 65, 28, 28, 52, 8580), ('ReLU', 65, 28, 28, 52, 0), ('...
ReLU
555,035
2,485,118
52
2,431
72.553846
0.72427
0.617357
0.246429
0.018768
25
0
0
1
1
SUCCESSFUL
0.52
555.36
9.48
565.36
input_channels:1_num_classes:576_depth:8_arch:pyramid_base_filters:107_batch:58_input_size:58_act:swish_dropout:0.17445849498676638_dropout:True_batchnorm:True.out
8
[('conv2d', 107, 58, 58, 58, 1070), ('batchnorm2d', 107, 58, 58, 58, 214), ('SiLU', 107, 58, 58, 58, 0), ('dropout', 107, 58, 58, 58, 0), ('conv2d', 154, 58, 58, 58, 148456), ('batchnorm2d', 154, 58, 58, 58, 308), ('SiLU', 154, 58, 58, 58, 0), ('dropout', 154, 58, 58, 58, 0), ('conv2d', 223, 58, 58, 58, 309301), ('batc...
SiLU
58,495,800
24,589,260
58
21,309
92.920635
0.922215
0.951867
0.256717
0.016547
8
8
8
1
1
SUCCESSFUL
0.58
32,355.3
93.8
32,449.68
input_channels:1_num_classes:813_depth:27_arch:pyramid_base_filters:102_batch:36_input_size:50_act:leaky_relu_dropout:0.20133721469820107_dropout:True_batchnorm:True.out
27
[('conv2d', 102, 50, 50, 36, 1020), ('batchnorm2d', 102, 50, 50, 36, 204), ('LeakyReLU', 102, 50, 50, 36, 0), ('dropout', 102, 50, 50, 36, 0), ('conv2d', 113, 50, 50, 36, 103847), ('batchnorm2d', 113, 50, 50, 36, 226), ('LeakyReLU', 113, 50, 50, 36, 0), ('dropout', 113, 50, 50, 36, 0), ('conv2d', 127, 50, 50, 36, 12928...
LeakyReLU
165,483,458
136,739,574
36
29,411
-1
-1
-1
-1
-1
27
27
27
1
1
SUCCESSFUL
0.36
56,814.12
521.62
57,336.1
input_channels:3_num_classes:912_depth:21_arch:pyramid_base_filters:70_batch:54_input_size:70_act:mish_dropout:0.1248205152586718_dropout:False_batchnorm:True.out
21
[('conv2d', 70, 70, 70, 54, 1960), ('batchnorm2d', 70, 70, 70, 54, 140), ('Mish', 70, 70, 70, 54, 0), ('conv2d', 82, 70, 70, 54, 51742), ('batchnorm2d', 82, 70, 70, 54, 164), ('Mish', 82, 70, 70, 54, 0), ('conv2d', 96, 70, 70, 54, 70944), ('batchnorm2d', 96, 70, 70, 54, 192), ('Mish', 96, 70, 70, 54, 0), ('conv2d', 113...
Mish
166,554,567
86,127,516
54
39,145
22.4
0.0902
0.5525
0.119
0.011
21
21
0
1
1
OOM_CRASH
3.24
91,490.58
328.55
91,822.37
input_channels:3_num_classes:926_depth:16_arch:dense_base_filters:50_batch:62_input_size:154_act:selu_dropout:0.3118086781750643_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 154, 154, 62, 896), ('SELU', 32, 154, 154, 62, 0), ('conv2d', 32, 154, 154, 62, 10112), ('SELU', 32, 154, 154, 62, 0), ('conv2d', 32, 154, 154, 62, 19328), ('SELU', 32, 154, 154, 62, 0), ('conv2d', 32, 154, 154, 62, 28544), ('SELU', 32, 154, 154, 62, 0), ('conv2d', 65, 154, 154, 62, 8580), ('ReLU', 65, ...
SELU
13,710,149
1,317,440
62
15,159
-1
-1
-1
-1
-1
17
0
0
1
1
SUCCESSFUL
16.74
14,262.48
5.03
14,284.25
input_channels:3_num_classes:761_depth:23_arch:uniform_base_filters:120_batch:38_input_size:136_act:prelu_dropout:0.17654089581790178_dropout:False_batchnorm:False.out
23
[('conv2d', 120, 136, 136, 38, 3360), ('PReLU', 120, 136, 136, 38, 0), ('conv2d', 120, 136, 136, 38, 129720), ('PReLU', 120, 136, 136, 38, 0), ('conv2d', 120, 136, 136, 38, 129720), ('PReLU', 120, 136, 136, 38, 0), ('conv2d', 120, 136, 136, 38, 129720), ('PReLU', 120, 136, 136, 38, 0), ('conv2d', 120, 136, 136, 38, 129...
PReLU
102,099,562
2,949,281
38
19,361
92.796875
0.908879
0.857948
0.431517
0.014241
23
0
0
1
1
SUCCESSFUL
7.98
44,400.34
11.25
44,419.57
input_channels:1_num_classes:501_depth:10_arch:bottleneck_base_filters:30_batch:54_input_size:136_act:tanh_dropout:0.4801294445158144_dropout:False_batchnorm:True.out
10
[('conv2d', 60, 136, 136, 54, 600), ('batchnorm2d', 60, 136, 136, 54, 120), ('Tanh', 60, 136, 136, 54, 0), ('conv2d', 30, 136, 136, 54, 16230), ('batchnorm2d', 30, 136, 136, 54, 60), ('Tanh', 30, 136, 136, 54, 0), ('conv2d', 47, 136, 136, 54, 12737), ('batchnorm2d', 47, 136, 136, 54, 94), ('Tanh', 47, 136, 136, 54, 0),...
Tanh
190,104,170
15,814,971
54
38,783
-1
-1
-1
-1
-1
10
10
0
1
1
OOM_CRASH
3.78
104,426.82
60.33
104,490.93
input_channels:3_num_classes:565_depth:28_arch:gradual_base_filters:96_batch:62_input_size:68_act:leaky_relu_dropout:0.21635808052337505_dropout:True_batchnorm:True.out
28
[('conv2d', 96, 68, 68, 62, 2688), ('batchnorm2d', 96, 68, 68, 62, 192), ('LeakyReLU', 96, 68, 68, 62, 0), ('dropout', 96, 68, 68, 62, 0), ('conv2d', 101, 68, 68, 62, 87365), ('batchnorm2d', 101, 68, 68, 62, 202), ('LeakyReLU', 101, 68, 68, 62, 0), ('dropout', 101, 68, 68, 62, 0), ('conv2d', 107, 68, 68, 62, 97370), ('...
LeakyReLU
114,177,357
13,959,417
62
37,037
91.348485
0.926092
0.898466
0.362534
0.017407
28
28
28
1
1
SUCCESSFUL
3.1
67,510.56
53.25
67,566.91
input_channels:1_num_classes:164_depth:9_arch:gradual_base_filters:87_batch:16_input_size:38_act:tanh_dropout:0.4067212811385791_dropout:True_batchnorm:False.out
9
[('conv2d', 87, 38, 38, 16, 870), ('Tanh', 87, 38, 38, 16, 0), ('dropout', 87, 38, 38, 16, 0), ('conv2d', 103, 38, 38, 16, 80752), ('Tanh', 103, 38, 38, 16, 0), ('dropout', 103, 38, 38, 16, 0), ('conv2d', 123, 38, 38, 16, 114144), ('Tanh', 123, 38, 38, 16, 0), ('dropout', 123, 38, 38, 16, 0), ('conv2d', 147, 38, 38, 16...
Tanh
7,555,690
3,059,034
16
2,301
82.338462
0.834292
0.720684
0.275404
0.010196
9
0
9
1
1
SUCCESSFUL
0.16
1,229.76
11.67
1,241.59
input_channels:1_num_classes:150_depth:29_arch:residual_base_filters:80_batch:46_input_size:34_act:prelu_dropout:0.26176978858398436_dropout:False_batchnorm:False.out
18
[('conv2d', 80, 34, 34, 46, 160), ('conv2d', 80, 34, 34, 46, 800), ('PReLU', 80, 34, 34, 46, 0), ('conv2d', 80, 34, 34, 46, 57680), ('PReLU', 80, 34, 34, 46, 0), ('conv2d', 89, 17, 17, 46, 7209), ('conv2d', 89, 17, 17, 46, 64169), ('PReLU', 89, 17, 17, 46, 0), ('conv2d', 89, 17, 17, 46, 71378), ('PReLU', 89, 17, 17, 46...
PReLU
848,899
1,251,724
46
1,975
57.625
0.540698
0.349259
0.13737
0.011862
18
0
0
1
1
SUCCESSFUL
0
536.36
4.77
541.13
input_channels:3_num_classes:377_depth:10_arch:gradual_base_filters:102_batch:46_input_size:88_act:mish_dropout:0.19797611757349542_dropout:False_batchnorm:False.out
10
[('conv2d', 102, 88, 88, 46, 2856), ('Mish', 102, 88, 88, 46, 0), ('conv2d', 118, 88, 88, 46, 108442), ('Mish', 118, 88, 88, 46, 0), ('conv2d', 137, 88, 88, 46, 145631), ('Mish', 137, 88, 88, 46, 0), ('conv2d', 159, 88, 88, 46, 196206), ('Mish', 159, 88, 88, 46, 0), ('conv2d', 185, 88, 88, 46, 264920), ('Mish', 185, 88...
Mish
33,888,891
4,445,283
46
12,127
93.952381
0.911046
0.923783
0.340517
0.041197
10
0
0
1
1
SUCCESSFUL
4.14
17,839.72
16.96
17,860.82
input_channels:3_num_classes:684_depth:15_arch:pyramid_base_filters:65_batch:30_input_size:182_act:softplus_dropout:0.32632252321132676_dropout:False_batchnorm:False.out
15
[('conv2d', 65, 182, 182, 30, 1820), ('Softplus', 65, 182, 182, 30, 0), ('conv2d', 81, 182, 182, 30, 47466), ('Softplus', 81, 182, 182, 30, 0), ('conv2d', 102, 182, 182, 30, 74460), ('Softplus', 102, 182, 182, 30, 0), ('conv2d', 129, 182, 182, 30, 118551), ('Softplus', 129, 182, 182, 30, 0), ('conv2d', 163, 182, 182, 3...
Softplus
507,595,171
52,341,204
30
36,847
-1
-1
-1
-1
-1
15
0
0
1
1
OOM_CRASH
11.4
174,268.5
199.67
174,479.57
input_channels:1_num_classes:120_depth:5_arch:hourglass_base_filters:102_batch:46_input_size:170_act:mish_dropout:0.41924767923252093_dropout:False_batchnorm:False.out
5
[('conv2d', 102, 170, 170, 46, 1020), ('Mish', 102, 170, 170, 46, 0), ('conv2d', 457, 170, 170, 46, 419983), ('Mish', 457, 170, 170, 46, 0), ('conv2d', 753, 170, 170, 46, 3097842), ('Mish', 753, 170, 170, 46, 0), ('conv2d', 277, 170, 170, 46, 1877506), ('Mish', 277, 170, 170, 46, 0), ('conv2d', 102, 170, 170, 46, 25438...
Mish
97,740,142
5,663,099
46
39,087
92.793651
0.93181
0.945879
0.29781
0.032544
5
0
0
1
1
SUCCESSFUL
5.06
51,453.3
21.6
51,479.96
input_channels:3_num_classes:12_depth:11_arch:pyramid_base_filters:86_batch:54_input_size:182_act:relu_dropout:0.38753259273187945_dropout:False_batchnorm:True.out
11
[('conv2d', 86, 182, 182, 54, 2408), ('batchnorm2d', 86, 182, 182, 54, 172), ('ReLU', 86, 182, 182, 54, 0), ('conv2d', 114, 182, 182, 54, 88350), ('batchnorm2d', 114, 182, 182, 54, 228), ('ReLU', 114, 182, 182, 54, 0), ('conv2d', 153, 182, 182, 54, 157131), ('batchnorm2d', 153, 182, 182, 54, 306), ('ReLU', 153, 182, 18...
ReLU
583,215,827
36,168,321
54
38,969
-1
-1
-1
-1
-1
11
11
0
1
1
OOM_CRASH
20.52
320,369.58
137.97
320,528.07
input_channels:3_num_classes:209_depth:13_arch:pyramid_base_filters:20_batch:38_input_size:70_act:gelu_dropout:0.13414371286163196_dropout:False_batchnorm:True.out
13
[('conv2d', 20, 70, 70, 38, 560), ('batchnorm2d', 20, 70, 70, 38, 40), ('GELU', 20, 70, 70, 38, 0), ('conv2d', 28, 70, 70, 38, 5068), ('batchnorm2d', 28, 70, 70, 38, 56), ('GELU', 28, 70, 70, 38, 0), ('conv2d', 40, 70, 70, 38, 10120), ('batchnorm2d', 40, 70, 70, 38, 80), ('GELU', 40, 70, 70, 38, 0), ('conv2d', 58, 70, ...
GELU
69,606,352
25,726,952
38
15,623
-1
-1
-1
-1
-1
13
13
0
1
1
SUCCESSFUL
2.28
26,906.66
98.14
27,007.08
input_channels:3_num_classes:316_depth:29_arch:pyramid_base_filters:81_batch:42_input_size:112_act:softplus_dropout:0.25001685689822883_dropout:False_batchnorm:False.out
29
[('conv2d', 81, 112, 112, 42, 2268), ('Softplus', 81, 112, 112, 42, 0), ('conv2d', 90, 112, 112, 42, 65700), ('Softplus', 90, 112, 112, 42, 0), ('conv2d', 101, 112, 112, 42, 81911), ('Softplus', 101, 112, 112, 42, 0), ('conv2d', 113, 112, 112, 42, 102830), ('Softplus', 113, 112, 112, 42, 0), ('conv2d', 126, 112, 112, 4...
Softplus
418,545,568
135,562,422
42
38,711
24.6
0.0895
0.4805
0.1235
0.009
29
0
0
1
1
OOM_CRASH
5.88
201,174.12
517.13
201,697.13
input_channels:3_num_classes:181_depth:15_arch:dense_base_filters:65_batch:8_input_size:128_act:mish_dropout:0.19166899449295385_dropout:True_batchnorm:True.out
13
[('conv2d', 32, 128, 128, 8, 896), ('batchnorm2d', 32, 128, 128, 8, 64), ('Mish', 32, 128, 128, 8, 0), ('dropout', 32, 128, 128, 8, 0), ('conv2d', 32, 128, 128, 8, 10112), ('batchnorm2d', 32, 128, 128, 8, 64), ('Mish', 32, 128, 128, 8, 0), ('dropout', 32, 128, 128, 8, 0), ('conv2d', 32, 128, 128, 8, 19328), ('batchnorm...
Mish
15,778,475
534,704
8
2,777
-1
-1
-1
-1
-1
13
13
12
1
1
SUCCESSFUL
1.52
1,512.08
2.04
1,515.64
input_channels:1_num_classes:888_depth:3_arch:dense_base_filters:68_batch:58_input_size:132_act:tanh_dropout:0.4449768997107866_dropout:True_batchnorm:True.out
0
[]
null
0
0
58
1,471
7.095238
0.028274
0.003167
0.001
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:805_depth:9_arch:gradual_base_filters:18_batch:36_input_size:170_act:leaky_relu_dropout:0.3355038171262318_dropout:False_batchnorm:True.out
9
[('conv2d', 18, 170, 170, 36, 180), ('batchnorm2d', 18, 170, 170, 36, 36), ('LeakyReLU', 18, 170, 170, 36, 0), ('conv2d', 23, 170, 170, 36, 3749), ('batchnorm2d', 23, 170, 170, 36, 46), ('LeakyReLU', 23, 170, 170, 36, 0), ('conv2d', 30, 170, 170, 36, 6240), ('batchnorm2d', 30, 170, 170, 36, 60), ('LeakyReLU', 30, 170, ...
LeakyReLU
49,854,257
480,586
36
12,359
-1
-1
-1
-1
-1
9
9
0
1
1
SUCCESSFUL
3.96
18,257.04
1.83
18,262.83
input_channels:1_num_classes:536_depth:1_arch:gradual_base_filters:51_batch:54_input_size:54_act:softplus_dropout:0.3869452825750691_dropout:False_batchnorm:True.out
1
[('conv2d', 51, 54, 54, 54, 510), ('batchnorm2d', 51, 54, 54, 54, 102), ('Softplus', 51, 54, 54, 54, 0), ('adaptive_avg_pool2d', 0, 0, 51, 54, 0), ('linear', 0, 0, 536, 54, 27872), ('softmax', 0, 0, 536, 54, 0)]
Softplus
447,271
28,484
54
1,871
24.047619
0.207297
0.128
0.056764
0.022151
1
1
0
1
1
SUCCESSFUL
0.54
245.7
0.11
246.35
input_channels:1_num_classes:255_depth:28_arch:pyramid_base_filters:86_batch:4_input_size:64_act:gelu_dropout:0.17745322271415429_dropout:True_batchnorm:False.out
28
[('conv2d', 86, 64, 64, 4, 860), ('GELU', 86, 64, 64, 4, 0), ('dropout', 86, 64, 64, 4, 0), ('conv2d', 96, 64, 64, 4, 74400), ('GELU', 96, 64, 64, 4, 0), ('dropout', 96, 64, 64, 4, 0), ('conv2d', 107, 64, 64, 4, 92555), ('GELU', 107, 64, 64, 4, 0), ('dropout', 107, 64, 64, 4, 0), ('conv2d', 120, 64, 64, 4, 115680), ('G...
GELU
200,923,426
132,687,418
4
7,029
93.4
0.932444
0.929411
0.242893
0.012018
28
0
28
1
1
SUCCESSFUL
0.08
8,175.56
506.16
8,681.8
input_channels:3_num_classes:404_depth:9_arch:dense_base_filters:26_batch:14_input_size:168_act:elu_dropout:0.30604142545755075_dropout:False_batchnorm:False.out
9
[('conv2d', 32, 168, 168, 14, 896), ('ELU', 32, 168, 168, 14, 0), ('conv2d', 32, 168, 168, 14, 10112), ('ELU', 32, 168, 168, 14, 0), ('conv2d', 32, 168, 168, 14, 19328), ('ELU', 32, 168, 168, 14, 0), ('conv2d', 32, 168, 168, 14, 28544), ('ELU', 32, 168, 168, 14, 0), ('conv2d', 65, 168, 168, 14, 8580), ('ReLU', 65, 168,...
ELU
12,701,801
276,140
14
3,873
-1
-1
-1
-1
-1
9
0
0
1
1
SUCCESSFUL
4.48
2,673.3
1.05
2,678.83
input_channels:3_num_classes:261_depth:12_arch:residual_base_filters:30_batch:2_input_size:182_act:prelu_dropout:0.14932427681626503_dropout:False_batchnorm:False.out
18
[('conv2d', 30, 182, 182, 2, 120), ('conv2d', 30, 182, 182, 2, 840), ('PReLU', 30, 182, 182, 2, 0), ('conv2d', 30, 182, 182, 2, 8130), ('PReLU', 30, 182, 182, 2, 0), ('conv2d', 42, 91, 91, 2, 1302), ('conv2d', 42, 91, 91, 2, 11382), ('PReLU', 42, 91, 91, 2, 0), ('conv2d', 42, 91, 91, 2, 15918), ('PReLU', 42, 91, 91, 2,...
PReLU
11,853,476
984,097
2
1,817
-1
-1
-1
-1
-1
18
0
0
1
1
SUCCESSFUL
0.76
325.56
3.75
330.07
input_channels:3_num_classes:96_depth:22_arch:hourglass_base_filters:85_batch:20_input_size:158_act:relu_dropout:0.40586644712042264_dropout:True_batchnorm:True.out
22
[('conv2d', 85, 158, 158, 20, 2380), ('batchnorm2d', 85, 158, 158, 20, 170), ('ReLU', 85, 158, 158, 20, 0), ('dropout', 85, 158, 158, 20, 0), ('conv2d', 113, 158, 158, 20, 86558), ('batchnorm2d', 113, 158, 158, 20, 226), ('ReLU', 113, 158, 158, 20, 0), ('dropout', 113, 158, 158, 20, 0), ('conv2d', 151, 158, 158, 20, 15...
ReLU
1,167,716,341
93,042,732
20
39,781
26.75
0.176333
0.406667
0.148667
0.019
22
22
22
1
1
OOM_CRASH
5.8
222,724.2
354.93
223,084.93
input_channels:3_num_classes:797_depth:15_arch:bottleneck_base_filters:121_batch:32_input_size:88_act:swish_dropout:0.11451822545466542_dropout:False_batchnorm:True.out
15
[('conv2d', 242, 88, 88, 32, 6776), ('batchnorm2d', 242, 88, 88, 32, 484), ('SiLU', 242, 88, 88, 32, 0), ('conv2d', 121, 88, 88, 32, 263659), ('batchnorm2d', 121, 88, 88, 32, 242), ('SiLU', 121, 88, 88, 32, 0), ('conv2d', 148, 88, 88, 32, 161320), ('batchnorm2d', 148, 88, 88, 32, 296), ('SiLU', 148, 88, 88, 32, 0), ('c...
SiLU
205,420,611
63,187,050
32
37,045
92.615385
0.929469
0.951236
0.220636
0.012704
15
15
0
1
1
SUCCESSFUL
2.88
66,868.48
241.04
67,112.4
input_channels:3_num_classes:811_depth:14_arch:pyramid_base_filters:103_batch:30_input_size:106_act:elu_dropout:0.3523113869663831_dropout:True_batchnorm:False.out
14
[('conv2d', 103, 106, 106, 30, 2884), ('ELU', 103, 106, 106, 30, 0), ('dropout', 103, 106, 106, 30, 0), ('conv2d', 127, 106, 106, 30, 117856), ('ELU', 127, 106, 106, 30, 0), ('dropout', 127, 106, 106, 30, 0), ('conv2d', 157, 106, 106, 30, 179608), ('ELU', 157, 106, 106, 30, 0), ('dropout', 157, 106, 106, 30, 0), ('conv...
ELU
275,195,388
58,309,722
30
37,375
94.323077
0.941266
0.981759
0.216389
0.006893
14
0
14
1
1
SUCCESSFUL
3.9
83,982.6
222.43
84,208.93
input_channels:1_num_classes:572_depth:14_arch:hourglass_base_filters:117_batch:8_input_size:216_act:softplus_dropout:0.12971891611617292_dropout:True_batchnorm:True.out
14
[('conv2d', 117, 216, 216, 8, 1170), ('batchnorm2d', 117, 216, 216, 8, 234), ('Softplus', 117, 216, 216, 8, 0), ('dropout', 117, 216, 216, 8, 0), ('conv2d', 176, 216, 216, 8, 185504), ('batchnorm2d', 176, 216, 216, 8, 352), ('Softplus', 176, 216, 216, 8, 0), ('dropout', 176, 216, 216, 8, 0), ('conv2d', 265, 216, 216, 8...
Softplus
1,425,435,373
56,002,739
8
40,037
-1
-1
-1
-1
-1
14
14
14
1
1
SUCCESSFUL
1.44
108,752.08
213.63
108,967.15
input_channels:1_num_classes:450_depth:9_arch:hourglass_base_filters:47_batch:10_input_size:58_act:leaky_relu_dropout:0.11400193759413879_dropout:True_batchnorm:True.out
9
[('conv2d', 47, 58, 58, 10, 470), ('batchnorm2d', 47, 58, 58, 10, 94), ('LeakyReLU', 47, 58, 58, 10, 0), ('dropout', 47, 58, 58, 10, 0), ('conv2d', 120, 58, 58, 10, 50880), ('batchnorm2d', 120, 58, 58, 10, 240), ('LeakyReLU', 120, 58, 58, 10, 0), ('dropout', 120, 58, 58, 10, 0), ('conv2d', 310, 58, 58, 10, 335110), ('b...
LeakyReLU
40,987,923
14,547,378
10
3,903
93.030769
0.920937
0.90275
0.281462
0.011788
9
9
9
1
1
SUCCESSFUL
0.1
3,908.9
55.49
3,964.49
input_channels:3_num_classes:438_depth:6_arch:bottleneck_base_filters:121_batch:34_input_size:118_act:swish_dropout:0.4692922717477961_dropout:False_batchnorm:True.out
6
[('conv2d', 242, 118, 118, 34, 6776), ('batchnorm2d', 242, 118, 118, 34, 484), ('SiLU', 242, 118, 118, 34, 0), ('conv2d', 121, 118, 118, 34, 263659), ('batchnorm2d', 121, 118, 118, 34, 242), ('SiLU', 121, 118, 118, 34, 0), ('conv2d', 213, 118, 118, 34, 232170), ('batchnorm2d', 213, 118, 118, 34, 426), ('SiLU', 213, 118...
SiLU
115,877,567
10,874,778
34
22,563
95.539683
0.942698
0.9512
0.270704
0.017741
6
6
0
1
1
SUCCESSFUL
5.44
40,077.84
41.48
40,124.76
input_channels:3_num_classes:763_depth:4_arch:hourglass_base_filters:98_batch:32_input_size:112_act:selu_dropout:0.10767930260730454_dropout:True_batchnorm:False.out
4
[('conv2d', 98, 112, 112, 32, 2744), ('SELU', 98, 112, 112, 32, 0), ('dropout', 98, 112, 112, 32, 0), ('conv2d', 448, 112, 112, 32, 395584), ('SELU', 448, 112, 112, 32, 0), ('dropout', 448, 112, 112, 32, 0), ('conv2d', 448, 112, 112, 32, 1806784), ('SELU', 448, 112, 112, 32, 0), ('dropout', 448, 112, 112, 32, 0), ('con...
SELU
41,095,768
2,675,883
32
9,513
-1
-1
-1
-1
-1
4
0
4
1
1
SUCCESSFUL
4.48
13,377.28
10.21
13,391.97
input_channels:3_num_classes:643_depth:12_arch:gradual_base_filters:120_batch:42_input_size:156_act:prelu_dropout:0.2490933305624331_dropout:False_batchnorm:True.out
12
[('conv2d', 120, 156, 156, 42, 3360), ('batchnorm2d', 120, 156, 156, 42, 240), ('PReLU', 120, 156, 156, 42, 0), ('conv2d', 135, 156, 156, 42, 145935), ('batchnorm2d', 135, 156, 156, 42, 270), ('PReLU', 135, 156, 156, 42, 0), ('conv2d', 152, 156, 156, 42, 184832), ('batchnorm2d', 152, 156, 156, 42, 304), ('PReLU', 152, ...
PReLU
218,222,638
7,091,409
42
38,713
-1
-1
-1
-1
-1
12
12
0
1
1
OOM_CRASH
11.76
93,234.54
27.05
93,273.35
input_channels:3_num_classes:726_depth:10_arch:hourglass_base_filters:86_batch:16_input_size:92_act:softplus_dropout:0.30519973472996_dropout:True_batchnorm:True.out
10
[('conv2d', 86, 92, 92, 16, 2408), ('batchnorm2d', 86, 92, 92, 16, 172), ('Softplus', 86, 92, 92, 16, 0), ('dropout', 86, 92, 92, 16, 0), ('conv2d', 162, 92, 92, 16, 125550), ('batchnorm2d', 162, 92, 92, 16, 324), ('Softplus', 162, 92, 92, 16, 0), ('dropout', 162, 92, 92, 16, 0), ('conv2d', 305, 92, 92, 16, 444995), ('...
Softplus
149,983,618
26,255,382
16
13,827
94.515625
0.946556
0.965589
0.271214
0.021255
10
10
10
1
1
SUCCESSFUL
1.6
22,885.6
100.16
22,987.36
input_channels:1_num_classes:935_depth:17_arch:pyramid_base_filters:45_batch:20_input_size:134_act:prelu_dropout:0.3679087224673637_dropout:True_batchnorm:False.out
17
[('conv2d', 45, 134, 134, 20, 450), ('PReLU', 45, 134, 134, 20, 0), ('dropout', 45, 134, 134, 20, 0), ('conv2d', 56, 134, 134, 20, 22736), ('PReLU', 56, 134, 134, 20, 0), ('dropout', 56, 134, 134, 20, 0), ('conv2d', 70, 134, 134, 20, 35350), ('PReLU', 70, 134, 134, 20, 0), ('dropout', 70, 134, 134, 20, 0), ('conv2d', 8...
PReLU
428,200,238
54,637,275
20
40,039
71.1
0.556818
0.829714
0.226714
0.002
17
0
17
1
1
OOM_CRASH
1.4
87,117.4
208.42
87,327.22
input_channels:1_num_classes:550_depth:24_arch:bottleneck_base_filters:122_batch:44_input_size:84_act:selu_dropout:0.30084037026101307_dropout:False_batchnorm:False.out
24
[('conv2d', 244, 84, 84, 44, 2440), ('SELU', 244, 84, 84, 44, 0), ('conv2d', 122, 84, 84, 44, 268034), ('SELU', 122, 84, 84, 44, 0), ('conv2d', 137, 84, 84, 44, 150563), ('SELU', 137, 84, 84, 44, 0), ('conv2d', 155, 84, 84, 44, 191270), ('SELU', 155, 84, 84, 44, 0), ('conv2d', 176, 84, 84, 44, 245696), ('SELU', 176, 84...
SELU
211,584,127
120,721,808
44
39,503
-1
-1
-1
-1
-1
24
0
0
1
1
OOM_CRASH
1.32
106,540.72
460.52
107,002.56
input_channels:1_num_classes:986_depth:12_arch:pyramid_base_filters:67_batch:14_input_size:76_act:leaky_relu_dropout:0.16736436450712294_dropout:True_batchnorm:True.out
12
[('conv2d', 67, 76, 76, 14, 670), ('batchnorm2d', 67, 76, 76, 14, 134), ('LeakyReLU', 67, 76, 76, 14, 0), ('dropout', 67, 76, 76, 14, 0), ('conv2d', 89, 76, 76, 14, 53756), ('batchnorm2d', 89, 76, 76, 14, 178), ('LeakyReLU', 89, 76, 76, 14, 0), ('dropout', 89, 76, 76, 14, 0), ('conv2d', 118, 76, 76, 14, 94636), ('batch...
LeakyReLU
138,696,824
38,381,302
14
11,917
94.078125
0.941429
0.966774
0.259642
0.010196
12
12
12
1
1
SUCCESSFUL
0.28
18,517.94
146.41
18,664.63
input_channels:3_num_classes:719_depth:1_arch:pyramid_base_filters:123_batch:52_input_size:156_act:mish_dropout:0.11956507479041556_dropout:True_batchnorm:False.out
1
[('conv2d', 123, 156, 156, 52, 3444), ('Mish', 123, 156, 156, 52, 0), ('dropout', 123, 156, 156, 52, 0), ('adaptive_avg_pool2d', 0, 0, 123, 52, 0), ('linear', 0, 0, 719, 52, 89156), ('softmax', 0, 0, 719, 52, 0)]
Mish
8,981,545
92,600
52
4,327
61.492308
0.572188
0.570107
0.423661
0.119364
1
0
1
1
1
SUCCESSFUL
14.56
4,750.72
0.35
4,765.63
input_channels:1_num_classes:237_depth:3_arch:pyramid_base_filters:91_batch:8_input_size:200_act:selu_dropout:0.22894425311432115_dropout:True_batchnorm:True.out
3
[('conv2d', 91, 200, 200, 8, 910), ('batchnorm2d', 91, 200, 200, 8, 182), ('SELU', 91, 200, 200, 8, 0), ('dropout', 91, 200, 200, 8, 0), ('conv2d', 256, 200, 200, 8, 209920), ('batchnorm2d', 256, 200, 200, 8, 512), ('SELU', 256, 200, 200, 8, 0), ('dropout', 256, 200, 200, 8, 0), ('conv2d', 725, 200, 200, 8, 1671125), (...
SELU
171,521,199
2,056,161
8
9,535
92.6875
0.930813
0.892415
0.417887
0.037582
3
3
3
1
1
SUCCESSFUL
1.2
13,086
7.84
13,095.04
input_channels:3_num_classes:916_depth:4_arch:dense_base_filters:88_batch:32_input_size:186_act:leaky_relu_dropout:0.467434881019714_dropout:False_batchnorm:False.out
4
[('conv2d', 32, 186, 186, 32, 896), ('LeakyReLU', 32, 186, 186, 32, 0), ('conv2d', 32, 186, 186, 32, 10112), ('LeakyReLU', 32, 186, 186, 32, 0), ('conv2d', 32, 186, 186, 32, 19328), ('LeakyReLU', 32, 186, 186, 32, 0), ('conv2d', 32, 186, 186, 32, 28544), ('LeakyReLU', 32, 186, 186, 32, 0), ('adaptive_avg_pool2d', 0, 0,...
LeakyReLU
8,858,539
179,792
32
5,915
94.571429
0.842831
0.838145
0.4634
0.142852
4
0
0
1
1
SUCCESSFUL
12.8
4,350.4
0.69
4,363.89
input_channels:1_num_classes:837_depth:14_arch:pyramid_base_filters:126_batch:18_input_size:160_act:leaky_relu_dropout:0.2729895458958076_dropout:False_batchnorm:False.out
14
[('conv2d', 126, 160, 160, 18, 1260), ('LeakyReLU', 126, 160, 160, 18, 0), ('conv2d', 153, 160, 160, 18, 173655), ('LeakyReLU', 153, 160, 160, 18, 0), ('conv2d', 187, 160, 160, 18, 257686), ('LeakyReLU', 187, 160, 160, 18, 0), ('conv2d', 229, 160, 160, 18, 385636), ('LeakyReLU', 229, 160, 160, 18, 0), ('conv2d', 279, 1...
LeakyReLU
446,211,352
64,207,209
18
39,383
27.666667
0.275857
0.492667
0.111
0.327333
14
0
0
1
1
OOM_CRASH
1.8
91,916.46
244.93
92,163.19
input_channels:1_num_classes:339_depth:5_arch:bottleneck_base_filters:63_batch:44_input_size:152_act:prelu_dropout:0.26299570198329525_dropout:False_batchnorm:True.out
5
[('conv2d', 126, 152, 152, 44, 1260), ('batchnorm2d', 126, 152, 152, 44, 252), ('PReLU', 126, 152, 152, 44, 0), ('conv2d', 63, 152, 152, 44, 71505), ('batchnorm2d', 63, 152, 152, 44, 126), ('PReLU', 63, 152, 152, 44, 0), ('conv2d', 150, 152, 152, 44, 85200), ('batchnorm2d', 150, 152, 152, 44, 300), ('PReLU', 150, 152, ...
PReLU
107,781,695
3,706,770
44
34,765
92.215385
0.942172
0.970914
0.387776
0.017797
5
5
0
1
1
SUCCESSFUL
3.96
48,242.04
14.14
48,260.14
input_channels:1_num_classes:145_depth:23_arch:bottleneck_base_filters:92_batch:42_input_size:90_act:gelu_dropout:0.2909619118698562_dropout:False_batchnorm:False.out
23
[('conv2d', 184, 90, 90, 42, 1840), ('GELU', 184, 90, 90, 42, 0), ('conv2d', 92, 90, 90, 42, 152444), ('GELU', 92, 90, 90, 42, 0), ('conv2d', 105, 90, 90, 42, 87045), ('GELU', 105, 90, 90, 42, 0), ('conv2d', 121, 90, 90, 42, 114466), ('GELU', 121, 90, 90, 42, 0), ('conv2d', 140, 90, 90, 42, 152600), ('GELU', 140, 90, 9...
GELU
211,979,068
100,625,558
42
38,401
23
0.1354
0.5885
0.1315
0.009
23
0
0
1
1
OOM_CRASH
1.26
101,887.8
383.86
102,272.92
input_channels:3_num_classes:991_depth:7_arch:dense_base_filters:75_batch:60_input_size:100_act:softplus_dropout:0.49778443274896866_dropout:False_batchnorm:True.out
4
[('conv2d', 32, 100, 100, 60, 896), ('batchnorm2d', 32, 100, 100, 60, 64), ('Softplus', 32, 100, 100, 60, 0), ('conv2d', 32, 100, 100, 60, 10112), ('batchnorm2d', 32, 100, 100, 60, 64), ('Softplus', 32, 100, 100, 60, 0), ('conv2d', 32, 100, 100, 60, 19328), ('batchnorm2d', 32, 100, 100, 60, 64), ('Softplus', 32, 100, 1...
Softplus
3,842,113
189,948
60
4,283
82.265625
0.779754
0.593933
0.304233
0.106772
4
4
0
1
1
SUCCESSFUL
6.6
2,944.2
0.72
2,951.52
input_channels:3_num_classes:235_depth:20_arch:bottleneck_base_filters:36_batch:42_input_size:146_act:elu_dropout:0.14058450844136303_dropout:True_batchnorm:True.out
20
[('conv2d', 72, 146, 146, 42, 2016), ('batchnorm2d', 72, 146, 146, 42, 144), ('ELU', 72, 146, 146, 42, 0), ('dropout', 72, 146, 146, 42, 0), ('conv2d', 36, 146, 146, 42, 23364), ('batchnorm2d', 36, 146, 146, 42, 72), ('ELU', 36, 146, 146, 42, 0), ('dropout', 36, 146, 146, 42, 0), ('conv2d', 44, 146, 146, 42, 14300), ('...
ELU
729,265,117
57,898,512
42
40,253
-1
-1
-1
-1
-1
20
20
20
1
1
OOM_CRASH
10.08
292,102.02
220.87
292,332.97
input_channels:1_num_classes:114_depth:10_arch:residual_base_filters:115_batch:10_input_size:142_act:tanh_dropout:0.24681151199126503_dropout:True_batchnorm:False.out
15
[('conv2d', 115, 142, 142, 10, 230), ('conv2d', 115, 142, 142, 10, 1150), ('Tanh', 115, 142, 142, 10, 0), ('dropout', 115, 142, 142, 10, 0), ('conv2d', 115, 142, 142, 10, 119140), ('Tanh', 115, 142, 142, 10, 0), ('dropout', 115, 142, 142, 10, 0), ('conv2d', 153, 71, 71, 10, 17748), ('conv2d', 153, 71, 71, 10, 158508), ...
Tanh
34,590,790
4,632,304
10
3,733
93.46875
0.8822
0.843778
0.409833
0.021759
15
0
10
1
1
SUCCESSFUL
0.8
4,147.1
17.67
4,165.57
input_channels:3_num_classes:353_depth:9_arch:pyramid_base_filters:121_batch:10_input_size:4_act:elu_dropout:0.44674351457999584_dropout:True_batchnorm:True.out
0
[]
null
0
0
10
0
58.5
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:462_depth:20_arch:uniform_base_filters:97_batch:24_input_size:196_act:softplus_dropout:0.22381014610776645_dropout:True_batchnorm:True.out
20
[('conv2d', 97, 196, 196, 24, 970), ('batchnorm2d', 97, 196, 196, 24, 194), ('Softplus', 97, 196, 196, 24, 0), ('dropout', 97, 196, 196, 24, 0), ('conv2d', 97, 196, 196, 24, 84778), ('batchnorm2d', 97, 196, 196, 24, 194), ('Softplus', 97, 196, 196, 24, 0), ('dropout', 97, 196, 196, 24, 0), ('conv2d', 97, 196, 196, 24, ...
Softplus
298,109,181
1,660,908
24
28,159
-1
-1
-1
-1
-1
20
20
20
1
1
SUCCESSFUL
3.6
68,231.76
6.34
68,241.7
input_channels:3_num_classes:768_depth:29_arch:hourglass_base_filters:96_batch:48_input_size:224_act:swish_dropout:0.16361068145738633_dropout:False_batchnorm:False.out
29
[('conv2d', 96, 224, 224, 48, 2688), ('SiLU', 96, 224, 224, 48, 0), ('conv2d', 119, 224, 224, 48, 102935), ('SiLU', 119, 224, 224, 48, 0), ('conv2d', 148, 224, 224, 48, 158656), ('SiLU', 148, 224, 224, 48, 0), ('conv2d', 184, 224, 224, 48, 245272), ('SiLU', 184, 224, 224, 48, 0), ('conv2d', 230, 224, 224, 48, 381110), ...
SiLU
1,666,045,536
140,706,630
48
37,749
-1
-1
-1
-1
-1
29
0
0
1
1
OOM_CRASH
27.36
915,185.76
536.75
915,749.87
input_channels:3_num_classes:495_depth:4_arch:hourglass_base_filters:96_batch:44_input_size:52_act:relu_dropout:0.17510752728471918_dropout:False_batchnorm:False.out
4
[('conv2d', 96, 52, 52, 44, 2688), ('ReLU', 96, 52, 52, 44, 0), ('conv2d', 443, 52, 52, 44, 383195), ('ReLU', 443, 52, 52, 44, 0), ('conv2d', 443, 52, 52, 44, 1766684), ('ReLU', 443, 52, 52, 44, 0), ('conv2d', 96, 52, 52, 44, 382848), ('ReLU', 96, 52, 52, 44, 0), ('adaptive_avg_pool2d', 0, 0, 96, 44, 0), ('linear', 0, ...
ReLU
5,830,910
2,583,430
44
4,059
85.53125
0.853188
0.851875
0.314536
0.0082
4
0
0
1
1
SUCCESSFUL
1.32
2,936.12
9.86
2,947.3
input_channels:3_num_classes:669_depth:19_arch:gradual_base_filters:31_batch:42_input_size:44_act:tanh_dropout:0.10527885813452978_dropout:False_batchnorm:True.out
19
[('conv2d', 31, 44, 44, 42, 868), ('batchnorm2d', 31, 44, 44, 42, 62), ('Tanh', 31, 44, 44, 42, 0), ('conv2d', 34, 44, 44, 42, 9520), ('batchnorm2d', 34, 44, 44, 42, 68), ('Tanh', 34, 44, 44, 42, 0), ('conv2d', 38, 44, 44, 42, 11666), ('batchnorm2d', 38, 44, 44, 42, 76), ('Tanh', 38, 44, 44, 42, 0), ('conv2d', 43, 44, ...
Tanh
10,967,067
2,180,292
42
3,887
-1
-1
-1
-1
-1
19
19
0
1
1
SUCCESSFUL
0.84
4,685.52
8.32
4,694.68
input_channels:3_num_classes:476_depth:11_arch:gradual_base_filters:36_batch:20_input_size:124_act:leaky_relu_dropout:0.31458559147006826_dropout:True_batchnorm:True.out
11
[('conv2d', 36, 124, 124, 20, 1008), ('batchnorm2d', 36, 124, 124, 20, 72), ('LeakyReLU', 36, 124, 124, 20, 0), ('dropout', 36, 124, 124, 20, 0), ('conv2d', 43, 124, 124, 20, 13975), ('batchnorm2d', 43, 124, 124, 20, 86), ('LeakyReLU', 43, 124, 124, 20, 0), ('dropout', 43, 124, 124, 20, 0), ('conv2d', 51, 124, 124, 20,...
LeakyReLU
71,591,833
1,317,779
20
9,399
92.507692
0.92773
0.895364
0.385218
0.038073
11
11
11
1
1
SUCCESSFUL
3.6
13,655
5.03
13,663.63
input_channels:3_num_classes:248_depth:13_arch:gradual_base_filters:127_batch:34_input_size:180_act:relu_dropout:0.3629216779389244_dropout:False_batchnorm:False.out
13
[('conv2d', 127, 180, 180, 34, 3556), ('ReLU', 127, 180, 180, 34, 0), ('conv2d', 141, 180, 180, 34, 161304), ('ReLU', 141, 180, 180, 34, 0), ('conv2d', 157, 180, 180, 34, 199390), ('ReLU', 157, 180, 180, 34, 0), ('conv2d', 175, 180, 180, 34, 247450), ('ReLU', 175, 180, 180, 34, 0), ('conv2d', 194, 180, 180, 34, 305744)...
ReLU
219,543,354
8,238,334
34
40,307
-1
-1
-1
-1
-1
13
0
0
1
1
SUCCESSFUL
12.58
85,423.98
31.43
85,467.99
input_channels:1_num_classes:510_depth:6_arch:bottleneck_base_filters:95_batch:6_input_size:90_act:elu_dropout:0.46469708423000333_dropout:False_batchnorm:False.out
6
[('conv2d', 190, 90, 90, 6, 1900), ('ELU', 190, 90, 90, 6, 0), ('conv2d', 95, 90, 90, 6, 162545), ('ELU', 95, 90, 90, 6, 0), ('conv2d', 175, 90, 90, 6, 149800), ('ELU', 175, 90, 90, 6, 0), ('conv2d', 324, 90, 90, 6, 510624), ('ELU', 324, 90, 90, 6, 0), ('conv2d', 599, 90, 90, 6, 1747283), ('ELU', 599, 90, 90, 6, 0), ('...
ELU
40,356,328
9,112,078
6
3,599
92
0.912234
0.926909
0.2734
0.015241
6
0
0
1
1
SUCCESSFUL
0.18
2,770.98
34.76
2,805.92
input_channels:3_num_classes:810_depth:23_arch:bottleneck_base_filters:83_batch:20_input_size:120_act:prelu_dropout:0.19890275754726444_dropout:False_batchnorm:True.out
23
[('conv2d', 166, 120, 120, 20, 4648), ('batchnorm2d', 166, 120, 120, 20, 332), ('PReLU', 166, 120, 120, 20, 0), ('conv2d', 83, 120, 120, 20, 124085), ('batchnorm2d', 83, 120, 120, 20, 166), ('PReLU', 83, 120, 120, 20, 0), ('conv2d', 96, 120, 120, 20, 71808), ('batchnorm2d', 96, 120, 120, 20, 192), ('PReLU', 96, 120, 12...
PReLU
547,908,990
97,737,009
20
39,169
-1
-1
-1
-1
-1
23
23
0
1
1
OOM_CRASH
3.2
111,472.2
372.84
111,848.24
input_channels:1_num_classes:649_depth:21_arch:pyramid_base_filters:90_batch:28_input_size:42_act:tanh_dropout:0.12644274520830026_dropout:False_batchnorm:True.out
21
[('conv2d', 90, 42, 42, 28, 900), ('batchnorm2d', 90, 42, 42, 28, 180), ('Tanh', 90, 42, 42, 28, 0), ('conv2d', 104, 42, 42, 28, 84344), ('batchnorm2d', 104, 42, 42, 28, 208), ('Tanh', 104, 42, 42, 28, 0), ('conv2d', 121, 42, 42, 28, 113377), ('batchnorm2d', 121, 42, 42, 28, 242), ('Tanh', 121, 42, 42, 28, 0), ('conv2d...
Tanh
64,528,418
94,666,342
28
11,697
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
0.28
18,379.48
361.12
18,740.88
input_channels:3_num_classes:174_depth:11_arch:dense_base_filters:81_batch:58_input_size:172_act:tanh_dropout:0.29937795987943494_dropout:False_batchnorm:True.out
9
[('conv2d', 32, 172, 172, 58, 896), ('batchnorm2d', 32, 172, 172, 58, 64), ('Tanh', 32, 172, 172, 58, 0), ('conv2d', 32, 172, 172, 58, 10112), ('batchnorm2d', 32, 172, 172, 58, 64), ('Tanh', 32, 172, 172, 58, 0), ('conv2d', 32, 172, 172, 58, 19328), ('batchnorm2d', 32, 172, 172, 58, 64), ('Tanh', 32, 172, 172, 58, 0), ...
Tanh
19,969,741
232,162
58
12,353
92.460317
0.898222
0.727
0.3575
0.128696
9
9
0
1
1
SUCCESSFUL
19.72
14,554.52
0.89
14,575.13
input_channels:3_num_classes:418_depth:23_arch:hourglass_base_filters:77_batch:14_input_size:106_act:elu_dropout:0.14220845985319494_dropout:True_batchnorm:False.out
23
[('conv2d', 77, 106, 106, 14, 2156), ('ELU', 77, 106, 106, 14, 0), ('dropout', 77, 106, 106, 14, 0), ('conv2d', 103, 106, 106, 14, 71482), ('ELU', 103, 106, 106, 14, 0), ('dropout', 103, 106, 106, 14, 0), ('conv2d', 139, 106, 106, 14, 128992), ('ELU', 139, 106, 106, 14, 0), ('dropout', 139, 106, 106, 14, 0), ('conv2d',...
ELU
402,137,353
94,875,428
14
21,993
94.171875
0.933813
0.957404
0.227333
0.005702
23
0
23
1
1
SUCCESSFUL
1.82
57,270.5
361.92
57,634.24
input_channels:1_num_classes:375_depth:26_arch:uniform_base_filters:68_batch:58_input_size:106_act:elu_dropout:0.2677591106580553_dropout:False_batchnorm:False.out
26
[('conv2d', 68, 106, 106, 58, 680), ('ELU', 68, 106, 106, 58, 0), ('conv2d', 68, 106, 106, 58, 41684), ('ELU', 68, 106, 106, 58, 0), ('conv2d', 68, 106, 106, 58, 41684), ('ELU', 68, 106, 106, 58, 0), ('conv2d', 68, 106, 106, 58, 41684), ('ELU', 68, 106, 106, 58, 0), ('conv2d', 68, 106, 106, 58, 41684), ('ELU', 68, 106,...
ELU
39,731,314
1,068,655
58
11,715
92.793651
0.908923
0.916368
0.386632
0.025719
26
0
0
1
1
SUCCESSFUL
2.32
26,372.02
4.08
26,378.42
input_channels:3_num_classes:414_depth:21_arch:residual_base_filters:21_batch:46_input_size:34_act:swish_dropout:0.3969643286476575_dropout:False_batchnorm:True.out
18
[('conv2d', 21, 34, 34, 46, 84), ('batchnorm2d', 21, 34, 34, 46, 42), ('conv2d', 21, 34, 34, 46, 588), ('batchnorm2d', 21, 34, 34, 46, 42), ('SiLU', 21, 34, 34, 46, 0), ('conv2d', 21, 34, 34, 46, 3990), ('batchnorm2d', 21, 34, 34, 46, 42), ('SiLU', 21, 34, 34, 46, 0), ('conv2d', 26, 17, 17, 46, 572), ('batchnorm2d', 26...
SiLU
399,914
197,136
46
1,887
36.222222
0.334766
0.144582
0.042582
0.030727
18
18
0
1
1
SUCCESSFUL
0.46
192.74
0.75
193.95
input_channels:3_num_classes:503_depth:13_arch:gradual_base_filters:122_batch:4_input_size:88_act:relu_dropout:0.2003330433148709_dropout:False_batchnorm:True.out
13
[('conv2d', 122, 88, 88, 4, 3416), ('batchnorm2d', 122, 88, 88, 4, 244), ('ReLU', 122, 88, 88, 4, 0), ('conv2d', 135, 88, 88, 4, 148365), ('batchnorm2d', 135, 88, 88, 4, 270), ('ReLU', 135, 88, 88, 4, 0), ('conv2d', 151, 88, 88, 4, 183616), ('batchnorm2d', 151, 88, 88, 4, 302), ('ReLU', 151, 88, 88, 4, 0), ('conv2d', 1...
ReLU
76,411,502
7,911,886
4
3,167
92.96875
0.921476
0.855815
0.291963
0.014
13
13
0
1
1
SUCCESSFUL
0.36
3,109.16
30.18
3,139.7
input_channels:1_num_classes:720_depth:20_arch:pyramid_base_filters:88_batch:34_input_size:94_act:leaky_relu_dropout:0.46271200333592366_dropout:True_batchnorm:False.out
20
[('conv2d', 88, 94, 94, 34, 880), ('LeakyReLU', 88, 94, 94, 34, 0), ('dropout', 88, 94, 94, 34, 0), ('conv2d', 102, 94, 94, 34, 80886), ('LeakyReLU', 102, 94, 94, 34, 0), ('dropout', 102, 94, 94, 34, 0), ('conv2d', 120, 94, 94, 34, 110280), ('LeakyReLU', 120, 94, 94, 34, 0), ('dropout', 120, 94, 94, 34, 0), ('conv2d', ...
LeakyReLU
304,606,617
88,158,742
34
39,073
-1
-1
-1
-1
-1
20
0
20
1
1
OOM_CRASH
1.02
105,352.74
336.3
105,690.06
input_channels:1_num_classes:746_depth:27_arch:pyramid_base_filters:62_batch:52_input_size:176_act:leaky_relu_dropout:0.13357399582781163_dropout:False_batchnorm:True.out
27
[('conv2d', 62, 176, 176, 52, 620), ('batchnorm2d', 62, 176, 176, 52, 124), ('LeakyReLU', 62, 176, 176, 52, 0), ('conv2d', 70, 176, 176, 52, 39130), ('batchnorm2d', 70, 176, 176, 52, 140), ('LeakyReLU', 70, 176, 176, 52, 0), ('conv2d', 80, 176, 176, 52, 50480), ('batchnorm2d', 80, 176, 176, 52, 160), ('LeakyReLU', 80, ...
LeakyReLU
1,333,148,379
113,262,489
52
39,587
26.857143
0.1204
0
0
0
27
27
0
1
1
OOM_CRASH
6.24
705,196.96
432.06
705,635.26
input_channels:3_num_classes:860_depth:10_arch:pyramid_base_filters:95_batch:40_input_size:52_act:prelu_dropout:0.25007639443208257_dropout:False_batchnorm:True.out
10
[('conv2d', 95, 52, 52, 40, 2660), ('batchnorm2d', 95, 52, 52, 40, 190), ('PReLU', 95, 52, 52, 40, 0), ('conv2d', 129, 52, 52, 40, 110424), ('batchnorm2d', 129, 52, 52, 40, 258), ('PReLU', 129, 52, 52, 40, 0), ('conv2d', 175, 52, 52, 40, 203350), ('batchnorm2d', 175, 52, 52, 40, 350), ('PReLU', 175, 52, 52, 40, 0), ('c...
PReLU
44,051,386
33,899,267
40
12,545
92.692308
0.938437
0.969418
0.247164
0.009255
10
10
0
1
1
SUCCESSFUL
1.2
17,924.4
129.32
18,054.92
input_channels:3_num_classes:988_depth:12_arch:hourglass_base_filters:104_batch:54_input_size:76_act:softplus_dropout:0.39051211547894504_dropout:True_batchnorm:True.out
12
[('conv2d', 104, 76, 76, 54, 2912), ('batchnorm2d', 104, 76, 76, 54, 208), ('Softplus', 104, 76, 76, 54, 0), ('dropout', 104, 76, 76, 54, 0), ('conv2d', 170, 76, 76, 54, 159290), ('batchnorm2d', 170, 76, 76, 54, 340), ('Softplus', 170, 76, 76, 54, 0), ('dropout', 170, 76, 76, 54, 0), ('conv2d', 280, 76, 76, 54, 428680)...
Softplus
139,504,032
40,886,094
54
38,705
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
3.78
71,842.14
155.97
72,001.89
input_channels:1_num_classes:363_depth:15_arch:pyramid_base_filters:58_batch:22_input_size:218_act:tanh_dropout:0.28802536185981353_dropout:False_batchnorm:True.out
15
[('conv2d', 58, 218, 218, 22, 580), ('batchnorm2d', 58, 218, 218, 22, 116), ('Tanh', 58, 218, 218, 22, 0), ('conv2d', 73, 218, 218, 22, 38179), ('batchnorm2d', 73, 218, 218, 22, 146), ('Tanh', 73, 218, 218, 22, 0), ('conv2d', 93, 218, 218, 22, 61194), ('batchnorm2d', 93, 218, 218, 22, 186), ('Tanh', 93, 218, 218, 22, 0...
Tanh
1,057,173,720
49,432,455
22
38,471
-1
-1
-1
-1
-1
15
15
0
1
1
OOM_CRASH
3.96
236,590.64
188.57
236,783.17
input_channels:1_num_classes:784_depth:24_arch:pyramid_base_filters:73_batch:6_input_size:90_act:tanh_dropout:0.4959707949177178_dropout:True_batchnorm:False.out
24
[('conv2d', 73, 90, 90, 6, 730), ('Tanh', 73, 90, 90, 6, 0), ('dropout', 73, 90, 90, 6, 0), ('conv2d', 83, 90, 90, 6, 54614), ('Tanh', 83, 90, 90, 6, 0), ('dropout', 83, 90, 90, 6, 0), ('conv2d', 96, 90, 90, 6, 71808), ('Tanh', 96, 90, 90, 6, 0), ('dropout', 96, 90, 90, 6, 0), ('conv2d', 110, 90, 90, 6, 95150), ('Tanh'...
Tanh
321,735,350
103,692,422
6
10,153
-1
-1
-1
-1
-1
24
0
24
1
1
SUCCESSFUL
0.18
19,637.1
395.56
20,032.84
input_channels:1_num_classes:564_depth:22_arch:gradual_base_filters:127_batch:28_input_size:206_act:mish_dropout:0.4601065651399404_dropout:False_batchnorm:True.out
22
[('conv2d', 127, 206, 206, 28, 1270), ('batchnorm2d', 127, 206, 206, 28, 254), ('Mish', 127, 206, 206, 28, 0), ('conv2d', 135, 206, 206, 28, 154440), ('batchnorm2d', 135, 206, 206, 28, 270), ('Mish', 135, 206, 206, 28, 0), ('conv2d', 144, 206, 206, 28, 175104), ('batchnorm2d', 144, 206, 206, 28, 288), ('Mish', 144, 206...
Mish
746,153,794
15,402,573
28
39,263
38.5
0.091
0.002
0.001
0.019
22
22
0
1
1
OOM_CRASH
4.48
212,527.28
58.76
212,590.52
input_channels:1_num_classes:652_depth:22_arch:residual_base_filters:37_batch:54_input_size:88_act:leaky_relu_dropout:0.45576627863602504_dropout:False_batchnorm:True.out
24
[('conv2d', 37, 88, 88, 54, 74), ('batchnorm2d', 37, 88, 88, 54, 74), ('conv2d', 37, 88, 88, 54, 370), ('batchnorm2d', 37, 88, 88, 54, 74), ('LeakyReLU', 37, 88, 88, 54, 0), ('conv2d', 37, 88, 88, 54, 12358), ('batchnorm2d', 37, 88, 88, 54, 74), ('LeakyReLU', 37, 88, 88, 54, 0), ('conv2d', 44, 44, 44, 54, 1672), ('batc...
LeakyReLU
4,567,756
1,014,362
54
3,057
-1
-1
-1
-1
-1
24
24
0
1
1
SUCCESSFUL
1.62
2,587.14
3.87
2,592.63
input_channels:1_num_classes:824_depth:13_arch:pyramid_base_filters:127_batch:22_input_size:94_act:swish_dropout:0.39507564666983097_dropout:False_batchnorm:False.out
13
[('conv2d', 127, 94, 94, 22, 1270), ('SiLU', 127, 94, 94, 22, 0), ('conv2d', 157, 94, 94, 22, 179608), ('SiLU', 157, 94, 94, 22, 0), ('conv2d', 194, 94, 94, 22, 274316), ('SiLU', 194, 94, 94, 22, 0), ('conv2d', 241, 94, 94, 22, 421027), ('SiLU', 241, 94, 94, 22, 0), ('conv2d', 298, 94, 94, 22, 646660), ('SiLU', 298, 94...
SiLU
142,262,901
58,080,135
22
24,509
-1
-1
-1
-1
-1
13
0
0
1
1
SUCCESSFUL
0.66
35,817.32
221.56
36,039.54
input_channels:3_num_classes:721_depth:11_arch:residual_base_filters:60_batch:20_input_size:218_act:relu_dropout:0.3698456080659065_dropout:False_batchnorm:False.out
15
[('conv2d', 60, 218, 218, 20, 240), ('conv2d', 60, 218, 218, 20, 1680), ('ReLU', 60, 218, 218, 20, 0), ('conv2d', 60, 218, 218, 20, 32460), ('ReLU', 60, 218, 218, 20, 0), ('conv2d', 82, 109, 109, 20, 5002), ('conv2d', 82, 109, 109, 20, 44362), ('ReLU', 82, 109, 109, 20, 0), ('conv2d', 82, 109, 109, 20, 60598), ('ReLU',...
ReLU
31,543,863
1,672,549
20
5,389
92.206349
0.881712
0.876278
0.479
0.046236
15
0
0
1
1
SUCCESSFUL
10.8
8,663.6
6.38
8,680.78
input_channels:1_num_classes:477_depth:19_arch:dense_base_filters:86_batch:54_input_size:82_act:tanh_dropout:0.2926742282884254_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 82, 82, 54, 320), ('Tanh', 32, 82, 82, 54, 0), ('dropout', 32, 82, 82, 54, 0), ('conv2d', 32, 82, 82, 54, 9536), ('Tanh', 32, 82, 82, 54, 0), ('dropout', 32, 82, 82, 54, 0), ('conv2d', 32, 82, 82, 54, 18752), ('Tanh', 32, 82, 82, 54, 0), ('dropout', 32, 82, 82, 54, 0), ('conv2d', 32, 82, 82, 54, 27968),...
Tanh
5,380,602
1,108,893
54
5,005
93.46875
0.875238
0.826316
0.429614
0.135636
17
0
16
1
1
SUCCESSFUL
1.62
4,125.6
4.23
4,131.45
input_channels:3_num_classes:252_depth:26_arch:hourglass_base_filters:75_batch:32_input_size:140_act:leaky_relu_dropout:0.4404792037158928_dropout:True_batchnorm:True.out
26
[('conv2d', 75, 140, 140, 32, 2100), ('batchnorm2d', 75, 140, 140, 32, 150), ('LeakyReLU', 75, 140, 140, 32, 0), ('dropout', 75, 140, 140, 32, 0), ('conv2d', 96, 140, 140, 32, 64896), ('batchnorm2d', 96, 140, 140, 32, 192), ('LeakyReLU', 96, 140, 140, 32, 0), ('dropout', 96, 140, 140, 32, 0), ('conv2d', 124, 140, 140, ...
LeakyReLU
1,067,024,579
110,696,820
32
38,671
32
0.0754
0.372
0.1
0.004
26
26
26
1
1
OOM_CRASH
7.04
325,630.08
422.27
326,059.39
input_channels:3_num_classes:207_depth:9_arch:uniform_base_filters:60_batch:14_input_size:6_act:mish_dropout:0.34634603913566475_dropout:True_batchnorm:False.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:329_depth:2_arch:bottleneck_base_filters:100_batch:8_input_size:90_act:mish_dropout:0.19250584883246696_dropout:True_batchnorm:False.out
2
[('conv2d', 200, 90, 90, 8, 5600), ('Mish', 200, 90, 90, 8, 0), ('dropout', 200, 90, 90, 8, 0), ('conv2d', 100, 90, 90, 8, 180100), ('Mish', 100, 90, 90, 8, 0), ('dropout', 100, 90, 90, 8, 0), ('adaptive_avg_pool2d', 0, 0, 100, 8, 0), ('linear', 0, 0, 329, 8, 33229), ('softmax', 0, 0, 329, 8, 0)]
Mish
7,290,758
218,929
8
2,143
-1
-1
-1
-1
-1
2
0
2
1
1
SUCCESSFUL
0.72
593.28
0.84
594.84
input_channels:1_num_classes:860_depth:17_arch:hourglass_base_filters:40_batch:14_input_size:10_act:prelu_dropout:0.30202059195479325_dropout:True_batchnorm:True.out
17
[('conv2d', 40, 10, 10, 14, 400), ('batchnorm2d', 40, 10, 10, 14, 80), ('PReLU', 40, 10, 10, 14, 0), ('dropout', 40, 10, 10, 14, 0), ('conv2d', 65, 10, 10, 14, 23465), ('batchnorm2d', 65, 10, 10, 14, 130), ('PReLU', 65, 10, 10, 14, 0), ('dropout', 65, 10, 10, 14, 0), ('conv2d', 106, 10, 10, 14, 62116), ('batchnorm2d', ...
PReLU
2,726,960
46,103,686
14
2,763
85.206349
0.792063
0.684333
0.301704
0.015143
17
17
17
1
1
SUCCESSFUL
0
364
175.87
539.87
input_channels:3_num_classes:687_depth:9_arch:bottleneck_base_filters:46_batch:20_input_size:2_act:leaky_relu_dropout:0.1933152566597081_dropout:True_batchnorm:True.out
0
[]
null
0
0
20
0
1
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:181_depth:13_arch:uniform_base_filters:49_batch:50_input_size:66_act:leaky_relu_dropout:0.38836809536232175_dropout:False_batchnorm:True.out
13
[('conv2d', 49, 66, 66, 50, 490), ('batchnorm2d', 49, 66, 66, 50, 98), ('LeakyReLU', 49, 66, 66, 50, 0), ('conv2d', 49, 66, 66, 50, 21658), ('batchnorm2d', 49, 66, 66, 50, 98), ('LeakyReLU', 49, 66, 66, 50, 0), ('conv2d', 49, 66, 66, 50, 21658), ('batchnorm2d', 49, 66, 66, 50, 98), ('LeakyReLU', 49, 66, 66, 50, 0), ('c...
LeakyReLU
8,324,727
270,710
50
3,713
88.761905
0.861484
0.692109
0.336964
0.018778
13
13
0
1
1
SUCCESSFUL
1
4,234
1.03
4,236.03