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:533_depth:29_arch:pyramid_base_filters:64_batch:62_input_size:80_act:leaky_relu_dropout:0.36036779909564987_dropout:False_batchnorm:False.out
29
[('conv2d', 64, 80, 80, 62, 640), ('LeakyReLU', 64, 80, 80, 62, 0), ('conv2d', 72, 80, 80, 62, 41544), ('LeakyReLU', 72, 80, 80, 62, 0), ('conv2d', 81, 80, 80, 62, 52569), ('LeakyReLU', 81, 80, 80, 62, 0), ('conv2d', 91, 80, 80, 62, 66430), ('LeakyReLU', 91, 80, 80, 62, 0), ('conv2d', 103, 80, 80, 62, 84460), ('LeakyRe...
LeakyReLU
199,900,483
124,752,719
62
39,141
11
0.2074
0.336
0.1105
0.0095
29
0
0
1
1
OOM_CRASH
1.24
141,835.54
475.89
142,312.67
input_channels:1_num_classes:897_depth:20_arch:gradual_base_filters:54_batch:36_input_size:208_act:softplus_dropout:0.37331537804323334_dropout:False_batchnorm:True.out
20
[('conv2d', 54, 208, 208, 36, 540), ('batchnorm2d', 54, 208, 208, 36, 108), ('Softplus', 54, 208, 208, 36, 0), ('conv2d', 59, 208, 208, 36, 28733), ('batchnorm2d', 59, 208, 208, 36, 118), ('Softplus', 59, 208, 208, 36, 0), ('conv2d', 64, 208, 208, 36, 34048), ('batchnorm2d', 64, 208, 208, 36, 128), ('Softplus', 64, 208...
Softplus
378,994,737
4,679,010
36
40,091
-1
-1
-1
-1
-1
20
20
0
1
1
OOM_CRASH
6.12
138,791.88
17.85
138,815.85
input_channels:3_num_classes:631_depth:22_arch:uniform_base_filters:70_batch:62_input_size:138_act:mish_dropout:0.40764137128185196_dropout:False_batchnorm:False.out
22
[('conv2d', 70, 138, 138, 62, 1960), ('Mish', 70, 138, 138, 62, 0), ('conv2d', 70, 138, 138, 62, 44170), ('Mish', 70, 138, 138, 62, 0), ('conv2d', 70, 138, 138, 62, 44170), ('Mish', 70, 138, 138, 62, 0), ('conv2d', 70, 138, 138, 62, 44170), ('Mish', 70, 138, 138, 62, 0), ('conv2d', 70, 138, 138, 62, 44170), ('Mish', 70...
Mish
58,656,852
974,331
62
18,101
-1
-1
-1
-1
-1
22
0
0
1
1
SUCCESSFUL
13.64
41,618.74
3.72
41,636.1
input_channels:1_num_classes:541_depth:1_arch:hourglass_base_filters:77_batch:46_input_size:94_act:prelu_dropout:0.2509589427213351_dropout:False_batchnorm:True.out
1
[('conv2d', 77, 94, 94, 46, 770), ('batchnorm2d', 77, 94, 94, 46, 154), ('PReLU', 77, 94, 94, 46, 0), ('adaptive_avg_pool2d', 0, 0, 77, 46, 0), ('linear', 0, 0, 541, 46, 42198), ('softmax', 0, 0, 541, 46, 0)]
PReLU
2,042,275
43,122
46
2,341
47.640625
0.489923
0.398018
0.218255
0.045036
1
1
0
1
1
SUCCESSFUL
1.38
955.42
0.16
956.96
input_channels:3_num_classes:811_depth:24_arch:residual_base_filters:31_batch:4_input_size:206_act:prelu_dropout:0.15309171481005454_dropout:True_batchnorm:False.out
30
[('conv2d', 31, 206, 206, 4, 124), ('conv2d', 31, 206, 206, 4, 868), ('PReLU', 31, 206, 206, 4, 0), ('dropout', 31, 206, 206, 4, 0), ('conv2d', 31, 206, 206, 4, 8680), ('PReLU', 31, 206, 206, 4, 0), ('dropout', 31, 206, 206, 4, 0), ('conv2d', 36, 103, 103, 4, 1152), ('conv2d', 36, 103, 103, 4, 10080), ('PReLU', 36, 103...
PReLU
18,324,733
1,381,540
4
2,045
68.285714
0.663234
0.433259
0.173093
0.065881
30
0
20
1
1
SUCCESSFUL
1.96
878.76
5.27
885.99
input_channels:3_num_classes:159_depth:1_arch:hourglass_base_filters:77_batch:52_input_size:24_act:relu_dropout:0.46107699954269643_dropout:True_batchnorm:False.out
1
[('conv2d', 77, 24, 24, 52, 2156), ('ReLU', 77, 24, 24, 52, 0), ('dropout', 77, 24, 24, 52, 0), ('adaptive_avg_pool2d', 0, 0, 77, 52, 0), ('linear', 0, 0, 159, 52, 12402), ('softmax', 0, 0, 159, 52, 0)]
ReLU
133,451
14,558
52
1,741
17.642857
0.121906
0.054037
0.023222
0.005885
1
0
1
1
1
SUCCESSFUL
0.52
70.72
0.06
71.3
input_channels:3_num_classes:549_depth:16_arch:uniform_base_filters:102_batch:26_input_size:100_act:gelu_dropout:0.4250726708949786_dropout:True_batchnorm:True.out
16
[('conv2d', 102, 100, 100, 26, 2856), ('batchnorm2d', 102, 100, 100, 26, 204), ('GELU', 102, 100, 100, 26, 0), ('dropout', 102, 100, 100, 26, 0), ('conv2d', 102, 100, 100, 26, 93738), ('batchnorm2d', 102, 100, 100, 26, 204), ('GELU', 102, 100, 100, 26, 0), ('dropout', 102, 100, 100, 26, 0), ('conv2d', 102, 100, 100, 26...
GELU
65,281,200
1,468,737
26
8,115
-1
-1
-1
-1
-1
16
16
16
1
1
SUCCESSFUL
2.86
16,186.82
5.6
16,195.28
input_channels:1_num_classes:999_depth:28_arch:bottleneck_base_filters:16_batch:50_input_size:44_act:leaky_relu_dropout:0.39661106197926155_dropout:True_batchnorm:False.out
28
[('conv2d', 32, 44, 44, 50, 320), ('LeakyReLU', 32, 44, 44, 50, 0), ('dropout', 32, 44, 44, 50, 0), ('conv2d', 16, 44, 44, 50, 4624), ('LeakyReLU', 16, 44, 44, 50, 0), ('dropout', 16, 44, 44, 50, 0), ('conv2d', 19, 44, 44, 50, 2755), ('LeakyReLU', 19, 44, 44, 50, 0), ('dropout', 19, 44, 44, 50, 0), ('conv2d', 22, 44, 4...
LeakyReLU
60,075,853
74,569,745
50
17,645
-1
-1
-1
-1
-1
28
0
28
1
1
SUCCESSFUL
0.5
30,555.5
284.46
30,840.46
input_channels:3_num_classes:809_depth:25_arch:gradual_base_filters:114_batch:6_input_size:30_act:gelu_dropout:0.18357705292449022_dropout:False_batchnorm:False.out
25
[('conv2d', 114, 30, 30, 6, 3192), ('GELU', 114, 30, 30, 6, 0), ('conv2d', 120, 30, 30, 6, 123240), ('GELU', 120, 30, 30, 6, 0), ('conv2d', 127, 30, 30, 6, 137287), ('GELU', 127, 30, 30, 6, 0), ('conv2d', 135, 30, 30, 6, 154440), ('GELU', 135, 30, 30, 6, 0), ('conv2d', 143, 30, 30, 6, 173888), ('GELU', 143, 30, 30, 6, ...
GELU
11,154,874
15,508,986
6
2,301
-1
-1
-1
-1
-1
25
0
0
1
1
SUCCESSFUL
0.06
765.9
59.16
825.12
input_channels:3_num_classes:836_depth:10_arch:bottleneck_base_filters:16_batch:28_input_size:182_act:elu_dropout:0.13629480309623998_dropout:False_batchnorm:True.out
10
[('conv2d', 32, 182, 182, 28, 896), ('batchnorm2d', 32, 182, 182, 28, 64), ('ELU', 32, 182, 182, 28, 0), ('conv2d', 16, 182, 182, 28, 4624), ('batchnorm2d', 16, 182, 182, 28, 32), ('ELU', 16, 182, 182, 28, 0), ('conv2d', 27, 182, 182, 28, 3915), ('batchnorm2d', 27, 182, 182, 28, 54), ('ELU', 27, 182, 182, 28, 0), ('con...
ELU
285,498,622
12,344,372
28
38,697
-1
-1
-1
-1
-1
10
10
0
1
1
OOM_CRASH
10.64
81,318.44
47.09
81,376.17
input_channels:3_num_classes:277_depth:9_arch:gradual_base_filters:82_batch:38_input_size:122_act:selu_dropout:0.3903772850426558_dropout:False_batchnorm:False.out
9
[('conv2d', 82, 122, 122, 38, 2296), ('SELU', 82, 122, 122, 38, 0), ('conv2d', 98, 122, 122, 38, 72422), ('SELU', 98, 122, 122, 38, 0), ('conv2d', 117, 122, 122, 38, 103311), ('SELU', 117, 122, 122, 38, 0), ('conv2d', 140, 122, 122, 38, 147560), ('SELU', 140, 122, 122, 38, 0), ('conv2d', 167, 122, 122, 38, 210587), ('S...
SELU
49,743,224
2,858,548
38
13,151
93.15625
0.938048
0.929483
0.364603
0.019246
9
0
0
1
1
SUCCESSFUL
6.46
21,631.88
10.9
21,649.24
input_channels:3_num_classes:440_depth:13_arch:residual_base_filters:89_batch:60_input_size:50_act:elu_dropout:0.16151776617829816_dropout:True_batchnorm:True.out
18
[('conv2d', 89, 50, 50, 60, 356), ('batchnorm2d', 89, 50, 50, 60, 178), ('conv2d', 89, 50, 50, 60, 2492), ('batchnorm2d', 89, 50, 50, 60, 178), ('ELU', 89, 50, 50, 60, 0), ('dropout', 89, 50, 50, 60, 0), ('conv2d', 89, 50, 50, 60, 71378), ('batchnorm2d', 89, 50, 50, 60, 178), ('ELU', 89, 50, 50, 60, 0), ('dropout', 89,...
ELU
4,680,997
3,745,248
60
3,029
77.063492
0.753281
0.634085
0.278288
0.040362
18
18
12
1
1
SUCCESSFUL
1.8
2,785.2
14.29
2,801.29
input_channels:3_num_classes:990_depth:4_arch:residual_base_filters:125_batch:54_input_size:160_act:mish_dropout:0.4142683562685001_dropout:True_batchnorm:True.out
6
[('conv2d', 125, 160, 160, 54, 500), ('batchnorm2d', 125, 160, 160, 54, 250), ('conv2d', 125, 160, 160, 54, 3500), ('batchnorm2d', 125, 160, 160, 54, 250), ('Mish', 125, 160, 160, 54, 0), ('dropout', 125, 160, 160, 54, 0), ('conv2d', 125, 160, 160, 54, 140750), ('batchnorm2d', 125, 160, 160, 54, 250), ('Mish', 125, 160...
Mish
48,066,231
1,277,998
54
15,475
90.907692
0.908016
0.931333
0.511481
0.067745
6
6
4
1
1
SUCCESSFUL
15.66
25,743.42
4.88
25,763.96
input_channels:1_num_classes:33_depth:21_arch:pyramid_base_filters:18_batch:2_input_size:28_act:gelu_dropout:0.27091326782763253_dropout:True_batchnorm:True.out
21
[('conv2d', 18, 28, 28, 2, 180), ('batchnorm2d', 18, 28, 28, 2, 36), ('GELU', 18, 28, 28, 2, 0), ('dropout', 18, 28, 28, 2, 0), ('conv2d', 22, 28, 28, 2, 3586), ('batchnorm2d', 22, 28, 28, 2, 44), ('GELU', 22, 28, 28, 2, 0), ('dropout', 22, 28, 28, 2, 0), ('conv2d', 28, 28, 28, 2, 5572), ('batchnorm2d', 28, 28, 28, 2, ...
GELU
25,146,148
52,894,932
2
3,075
82.47619
0.798062
0.676649
0.278947
0.015218
21
21
21
1
1
SUCCESSFUL
0
479.62
201.78
681.4
input_channels:1_num_classes:713_depth:12_arch:bottleneck_base_filters:32_batch:42_input_size:150_act:gelu_dropout:0.23397855365008105_dropout:True_batchnorm:True.out
12
[('conv2d', 64, 150, 150, 42, 640), ('batchnorm2d', 64, 150, 150, 42, 128), ('GELU', 64, 150, 150, 42, 0), ('dropout', 64, 150, 150, 42, 0), ('conv2d', 32, 150, 150, 42, 18464), ('batchnorm2d', 32, 150, 150, 42, 64), ('GELU', 32, 150, 150, 42, 0), ('dropout', 32, 150, 150, 42, 0), ('conv2d', 46, 150, 150, 42, 13294), (...
GELU
400,232,829
23,877,372
42
38,693
-1
-1
-1
-1
-1
12
12
12
1
1
OOM_CRASH
3.78
160,310.22
91.08
160,405.08
input_channels:3_num_classes:128_depth:1_arch:bottleneck_base_filters:77_batch:40_input_size:124_act:gelu_dropout:0.37535236523756477_dropout:True_batchnorm:True.out
1
[('conv2d', 154, 124, 124, 40, 4312), ('batchnorm2d', 154, 124, 124, 40, 308), ('GELU', 154, 124, 124, 40, 0), ('dropout', 154, 124, 124, 40, 0), ('adaptive_avg_pool2d', 0, 0, 154, 40, 0), ('linear', 0, 0, 128, 40, 19840), ('softmax', 0, 0, 128, 40, 0)]
GELU
9,472,026
24,460
40
3,737
75.692308
0.715094
0.652436
0.405291
0.072482
1
1
1
1
1
SUCCESSFUL
7.2
3,613.2
0.09
3,620.49
input_channels:1_num_classes:299_depth:20_arch:pyramid_base_filters:26_batch:48_input_size:132_act:prelu_dropout:0.11309590278785198_dropout:True_batchnorm:True.out
20
[('conv2d', 26, 132, 132, 48, 260), ('batchnorm2d', 26, 132, 132, 48, 52), ('PReLU', 26, 132, 132, 48, 0), ('dropout', 26, 132, 132, 48, 0), ('conv2d', 32, 132, 132, 48, 7520), ('batchnorm2d', 32, 132, 132, 48, 64), ('PReLU', 32, 132, 132, 48, 0), ('dropout', 32, 132, 132, 48, 0), ('conv2d', 40, 132, 132, 48, 11560), (...
PReLU
577,085,124
55,869,273
48
39,157
5
0.094333
0.121
0.035
0.006333
20
20
20
1
1
OOM_CRASH
3.36
264,168.48
213.12
264,384.96
input_channels:1_num_classes:964_depth:9_arch:hourglass_base_filters:120_batch:24_input_size:212_act:softplus_dropout:0.21460505640686015_dropout:False_batchnorm:False.out
9
[('conv2d', 120, 212, 212, 24, 1200), ('Softplus', 120, 212, 212, 24, 0), ('conv2d', 243, 212, 212, 24, 262683), ('Softplus', 243, 212, 212, 24, 0), ('conv2d', 495, 212, 212, 24, 1083060), ('Softplus', 495, 212, 212, 24, 0), ('conv2d', 1007, 212, 212, 24, 4487192), ('Softplus', 1007, 212, 212, 24, 0), ('conv2d', 1161, ...
Softplus
394,430,592
26,496,000
24
39,173
42.833333
0.301857
0.526
0.154
0.009333
9
0
0
1
1
OOM_CRASH
4.08
108,333.36
101.07
108,438.51
input_channels:1_num_classes:254_depth:24_arch:pyramid_base_filters:97_batch:8_input_size:188_act:elu_dropout:0.10931726661413128_dropout:False_batchnorm:False.out
24
[('conv2d', 97, 188, 188, 8, 970), ('ELU', 97, 188, 188, 8, 0), ('conv2d', 110, 188, 188, 8, 96140), ('ELU', 110, 188, 188, 8, 0), ('conv2d', 125, 188, 188, 8, 123875), ('ELU', 125, 188, 188, 8, 0), ('conv2d', 142, 188, 188, 8, 159892), ('ELU', 142, 188, 188, 8, 0), ('conv2d', 161, 188, 188, 8, 205919), ('ELU', 161, 18...
ELU
1,016,990,567
114,882,331
8
39,581
-1
-1
-1
-1
-1
24
0
0
1
1
OOM_CRASH
1.04
93,108.16
438.24
93,547.44
input_channels:1_num_classes:311_depth:2_arch:gradual_base_filters:81_batch:54_input_size:138_act:swish_dropout:0.2706154281711013_dropout:False_batchnorm:True.out
2
[('conv2d', 81, 138, 138, 54, 810), ('batchnorm2d', 81, 138, 138, 54, 162), ('SiLU', 81, 138, 138, 54, 0), ('conv2d', 181, 138, 138, 54, 132130), ('batchnorm2d', 181, 138, 138, 54, 362), ('SiLU', 181, 138, 138, 54, 0), ('adaptive_avg_pool2d', 0, 0, 181, 54, 0), ('linear', 0, 0, 311, 54, 56602), ('softmax', 0, 0, 311, 5...
SiLU
14,969,387
190,066
54
7,061
-1
-1
-1
-1
-1
2
2
0
1
1
SUCCESSFUL
3.78
8,222.58
0.73
8,227.09
input_channels:1_num_classes:41_depth:9_arch:pyramid_base_filters:48_batch:4_input_size:120_act:elu_dropout:0.47721428047663184_dropout:False_batchnorm:False.out
9
[('conv2d', 48, 120, 120, 4, 480), ('ELU', 48, 120, 120, 4, 0), ('conv2d', 72, 120, 120, 4, 31176), ('ELU', 72, 120, 120, 4, 0), ('conv2d', 110, 120, 120, 4, 71390), ('ELU', 110, 120, 120, 4, 0), ('conv2d', 167, 120, 120, 4, 165497), ('ELU', 167, 120, 120, 4, 0), ('conv2d', 254, 120, 120, 4, 382016), ('ELU', 254, 120, ...
ELU
111,198,231
19,109,214
4
5,297
92.907692
0.910585
0.93426
0.24766
0.008947
9
0
0
1
1
SUCCESSFUL
0.2
5,090.24
72.9
5,163.34
input_channels:3_num_classes:978_depth:8_arch:dense_base_filters:74_batch:26_input_size:120_act:prelu_dropout:0.2774636370603689_dropout:False_batchnorm:False.out
9
[('conv2d', 32, 120, 120, 26, 896), ('PReLU', 32, 120, 120, 26, 0), ('conv2d', 32, 120, 120, 26, 10112), ('PReLU', 32, 120, 120, 26, 0), ('conv2d', 32, 120, 120, 26, 19328), ('PReLU', 32, 120, 120, 26, 0), ('conv2d', 32, 120, 120, 26, 28544), ('PReLU', 32, 120, 120, 26, 0), ('conv2d', 65, 120, 120, 26, 8580), ('ReLU', ...
PReLU
6,482,149
387,496
26
3,765
-1
-1
-1
-1
-1
9
0
0
1
1
SUCCESSFUL
4.16
2,533.44
1.48
2,539.08
input_channels:1_num_classes:671_depth:27_arch:residual_base_filters:20_batch:2_input_size:68_act:gelu_dropout:0.41039460556392626_dropout:True_batchnorm:True.out
24
[('conv2d', 20, 68, 68, 2, 40), ('batchnorm2d', 20, 68, 68, 2, 40), ('conv2d', 20, 68, 68, 2, 200), ('batchnorm2d', 20, 68, 68, 2, 40), ('GELU', 20, 68, 68, 2, 0), ('dropout', 20, 68, 68, 2, 0), ('conv2d', 20, 68, 68, 2, 3620), ('batchnorm2d', 20, 68, 68, 2, 40), ('GELU', 20, 68, 68, 2, 0), ('dropout', 20, 68, 68, 2, 0...
GELU
1,822,968
286,803
2
1,755
-1
-1
-1
-1
-1
24
24
16
1
1
SUCCESSFUL
0.04
36.16
1.09
37.29
input_channels:1_num_classes:90_depth:27_arch:uniform_base_filters:88_batch:50_input_size:86_act:softplus_dropout:0.2367591420822331_dropout:False_batchnorm:False.out
27
[('conv2d', 88, 86, 86, 50, 880), ('Softplus', 88, 86, 86, 50, 0), ('conv2d', 88, 86, 86, 50, 69784), ('Softplus', 88, 86, 86, 50, 0), ('conv2d', 88, 86, 86, 50, 69784), ('Softplus', 88, 86, 86, 50, 0), ('conv2d', 88, 86, 86, 50, 69784), ('Softplus', 88, 86, 86, 50, 0), ('conv2d', 88, 86, 86, 50, 69784), ('Softplus', 8...
Softplus
35,146,060
1,823,274
50
9,431
89.546875
0.897828
0.877182
0.394218
0.049648
27
0
0
1
1
SUCCESSFUL
1.5
20,110.5
6.96
20,118.96
input_channels:1_num_classes:361_depth:12_arch:pyramid_base_filters:91_batch:32_input_size:138_act:swish_dropout:0.21734536675159719_dropout:True_batchnorm:False.out
12
[('conv2d', 91, 138, 138, 32, 910), ('SiLU', 91, 138, 138, 32, 0), ('dropout', 91, 138, 138, 32, 0), ('conv2d', 117, 138, 138, 32, 95940), ('SiLU', 117, 138, 138, 32, 0), ('dropout', 117, 138, 138, 32, 0), ('conv2d', 152, 138, 138, 32, 160208), ('SiLU', 152, 138, 138, 32, 0), ('dropout', 152, 138, 138, 32, 0), ('conv2d...
SiLU
377,016,369
43,182,286
32
39,153
23
0.224167
0.651
0.136
0.416
12
0
12
1
1
OOM_CRASH
2.24
122,726.4
164.73
122,893.37
input_channels:1_num_classes:702_depth:13_arch:bottleneck_base_filters:29_batch:28_input_size:48_act:relu_dropout:0.31659965567016135_dropout:True_batchnorm:False.out
13
[('conv2d', 58, 48, 48, 28, 580), ('ReLU', 58, 48, 48, 28, 0), ('dropout', 58, 48, 48, 28, 0), ('conv2d', 29, 48, 48, 28, 15167), ('ReLU', 29, 48, 48, 28, 0), ('dropout', 29, 48, 48, 28, 0), ('conv2d', 41, 48, 48, 28, 10742), ('ReLU', 41, 48, 48, 28, 0), ('dropout', 41, 48, 48, 28, 0), ('conv2d', 58, 48, 48, 28, 21460)...
ReLU
33,132,056
26,611,952
28
6,099
93.28125
0.92754
0.938636
0.263855
0.009018
13
0
13
1
1
SUCCESSFUL
0.28
9,436.84
101.52
9,538.64
input_channels:3_num_classes:945_depth:20_arch:pyramid_base_filters:61_batch:54_input_size:110_act:selu_dropout:0.1998504456240826_dropout:False_batchnorm:False.out
20
[('conv2d', 61, 110, 110, 54, 1708), ('SELU', 61, 110, 110, 54, 0), ('conv2d', 72, 110, 110, 54, 39600), ('SELU', 72, 110, 110, 54, 0), ('conv2d', 86, 110, 110, 54, 55814), ('SELU', 86, 110, 110, 54, 0), ('conv2d', 103, 110, 110, 54, 79825), ('SELU', 103, 110, 110, 54, 0), ('conv2d', 123, 110, 110, 54, 114144), ('SELU'...
SELU
250,159,008
76,693,802
54
38,829
17.2
0.03175
0.232
0.049
0
20
0
0
1
1
OOM_CRASH
7.56
154,592.82
292.56
154,892.94
input_channels:3_num_classes:15_depth:5_arch:dense_base_filters:90_batch:60_input_size:108_act:prelu_dropout:0.4716631906822082_dropout:True_batchnorm:False.out
4
[('conv2d', 32, 108, 108, 60, 896), ('PReLU', 32, 108, 108, 60, 0), ('dropout', 32, 108, 108, 60, 0), ('conv2d', 32, 108, 108, 60, 10112), ('PReLU', 32, 108, 108, 60, 0), ('dropout', 32, 108, 108, 60, 0), ('conv2d', 32, 108, 108, 60, 19328), ('PReLU', 32, 108, 108, 60, 0), ('dropout', 32, 108, 108, 60, 0), ('conv2d', 3...
PReLU
4,479,137
60,860
60
4,537
80.645161
0.765062
0.742737
0.428316
0.1155
4
0
4
1
1
SUCCESSFUL
7.8
3,433.2
0.23
3,441.23
input_channels:3_num_classes:688_depth:27_arch:uniform_base_filters:43_batch:56_input_size:44_act:mish_dropout:0.33756387363716606_dropout:False_batchnorm:True.out
27
[('conv2d', 43, 44, 44, 56, 1204), ('batchnorm2d', 43, 44, 44, 56, 86), ('Mish', 43, 44, 44, 56, 0), ('conv2d', 43, 44, 44, 56, 16684), ('batchnorm2d', 43, 44, 44, 56, 86), ('Mish', 43, 44, 44, 56, 0), ('conv2d', 43, 44, 44, 56, 16684), ('batchnorm2d', 43, 44, 44, 56, 86), ('Mish', 43, 44, 44, 56, 0), ('conv2d', 43, 44...
Mish
6,744,507
467,582
56
3,351
86.125
0.819354
0.611228
0.228702
0.174254
27
27
0
1
1
SUCCESSFUL
1.12
3,842.16
1.78
3,845.06
input_channels:1_num_classes:468_depth:8_arch:hourglass_base_filters:72_batch:18_input_size:44_act:prelu_dropout:0.13707357218410313_dropout:True_batchnorm:True.out
8
[('conv2d', 72, 44, 44, 18, 720), ('batchnorm2d', 72, 44, 44, 18, 144), ('PReLU', 72, 44, 44, 18, 0), ('dropout', 72, 44, 44, 18, 0), ('conv2d', 166, 44, 44, 18, 107734), ('batchnorm2d', 166, 44, 44, 18, 332), ('PReLU', 166, 44, 44, 18, 0), ('dropout', 166, 44, 44, 18, 0), ('conv2d', 384, 44, 44, 18, 574080), ('batchno...
PReLU
23,356,912
14,595,384
18
3,619
-1
-1
-1
-1
-1
8
8
8
1
1
SUCCESSFUL
0.18
4,009.5
55.68
4,065.36
input_channels:3_num_classes:329_depth:27_arch:pyramid_base_filters:76_batch:30_input_size:174_act:tanh_dropout:0.42946689713228137_dropout:False_batchnorm:False.out
27
[('conv2d', 76, 174, 174, 30, 2128), ('Tanh', 76, 174, 174, 30, 0), ('conv2d', 85, 174, 174, 30, 58225), ('Tanh', 85, 174, 174, 30, 0), ('conv2d', 97, 174, 174, 30, 74302), ('Tanh', 97, 174, 174, 30, 0), ('conv2d', 109, 174, 174, 30, 95266), ('Tanh', 109, 174, 174, 30, 0), ('conv2d', 123, 174, 174, 30, 120786), ('Tanh'...
Tanh
919,484,590
121,191,700
30
40,105
-1
-1
-1
-1
-1
27
0
0
1
1
OOM_CRASH
10.5
315,679.8
462.31
316,152.61
input_channels:1_num_classes:700_depth:16_arch:gradual_base_filters:101_batch:6_input_size:68_act:elu_dropout:0.47537606059281157_dropout:False_batchnorm:True.out
16
[('conv2d', 101, 68, 68, 6, 1010), ('batchnorm2d', 101, 68, 68, 6, 202), ('ELU', 101, 68, 68, 6, 0), ('conv2d', 110, 68, 68, 6, 100100), ('batchnorm2d', 110, 68, 68, 6, 220), ('ELU', 110, 68, 68, 6, 0), ('conv2d', 121, 68, 68, 6, 119911), ('batchnorm2d', 121, 68, 68, 6, 242), ('ELU', 121, 68, 68, 6, 0), ('conv2d', 133,...
ELU
49,649,701
7,968,159
6
3,353
-1
-1
-1
-1
-1
16
16
0
1
1
SUCCESSFUL
0.12
3,030.36
30.4
3,060.88
input_channels:3_num_classes:948_depth:1_arch:gradual_base_filters:76_batch:50_input_size:176_act:gelu_dropout:0.4090433333655954_dropout:False_batchnorm:True.out
1
[('conv2d', 76, 176, 176, 50, 2128), ('batchnorm2d', 76, 176, 176, 50, 152), ('GELU', 76, 176, 176, 50, 0), ('adaptive_avg_pool2d', 0, 0, 76, 50, 0), ('linear', 0, 0, 948, 50, 72996), ('softmax', 0, 0, 948, 50, 0)]
GELU
7,064,500
75,276
50
3,577
-1
-1
-1
-1
-1
1
1
0
1
1
SUCCESSFUL
17.5
3,593
0.29
3,610.79
input_channels:1_num_classes:5_depth:17_arch:gradual_base_filters:116_batch:44_input_size:36_act:softplus_dropout:0.3545607447024538_dropout:False_batchnorm:False.out
17
[('conv2d', 116, 36, 36, 44, 1160), ('Softplus', 116, 36, 36, 44, 0), ('conv2d', 126, 36, 36, 44, 131670), ('Softplus', 126, 36, 36, 44, 0), ('conv2d', 137, 36, 36, 44, 155495), ('Softplus', 137, 36, 36, 44, 0), ('conv2d', 149, 36, 36, 44, 183866), ('Softplus', 149, 36, 36, 44, 0), ('conv2d', 162, 36, 36, 44, 217404), ...
Softplus
10,902,409
9,930,260
44
4,665
-1
-1
-1
-1
-1
17
0
0
1
1
SUCCESSFUL
0
5,489.88
37.88
5,527.76
input_channels:3_num_classes:843_depth:13_arch:residual_base_filters:71_batch:16_input_size:56_act:gelu_dropout:0.38704688589771274_dropout:False_batchnorm:True.out
18
[('conv2d', 71, 56, 56, 16, 284), ('batchnorm2d', 71, 56, 56, 16, 142), ('conv2d', 71, 56, 56, 16, 1988), ('batchnorm2d', 71, 56, 56, 16, 142), ('GELU', 71, 56, 56, 16, 0), ('conv2d', 71, 56, 56, 16, 45440), ('batchnorm2d', 71, 56, 56, 16, 142), ('GELU', 71, 56, 56, 16, 0), ('conv2d', 91, 28, 28, 16, 6552), ('batchnorm...
GELU
3,754,952
2,820,811
16
2,083
-1
-1
-1
-1
-1
18
18
0
1
1
SUCCESSFUL
0.64
630.24
10.76
641.64
input_channels:3_num_classes:652_depth:15_arch:uniform_base_filters:50_batch:24_input_size:176_act:prelu_dropout:0.2484264433972014_dropout:True_batchnorm:True.out
15
[('conv2d', 50, 176, 176, 24, 1400), ('batchnorm2d', 50, 176, 176, 24, 100), ('PReLU', 50, 176, 176, 24, 0), ('dropout', 50, 176, 176, 24, 0), ('conv2d', 50, 176, 176, 24, 22550), ('batchnorm2d', 50, 176, 176, 24, 100), ('PReLU', 50, 176, 176, 24, 0), ('dropout', 50, 176, 176, 24, 0), ('conv2d', 50, 176, 176, 24, 22550...
PReLU
92,929,354
351,852
24
10,051
92.5
0.918328
0.77414
0.383035
0.161679
15
15
15
1
1
SUCCESSFUL
8.4
21,269.76
1.34
21,279.5
input_channels:1_num_classes:994_depth:12_arch:uniform_base_filters:41_batch:2_input_size:170_act:relu_dropout:0.4748477018258952_dropout:True_batchnorm:True.out
12
[('conv2d', 41, 170, 170, 2, 410), ('batchnorm2d', 41, 170, 170, 2, 82), ('ReLU', 41, 170, 170, 2, 0), ('dropout', 41, 170, 170, 2, 0), ('conv2d', 41, 170, 170, 2, 15170), ('batchnorm2d', 41, 170, 170, 2, 82), ('ReLU', 41, 170, 170, 2, 0), ('dropout', 41, 170, 170, 2, 0), ('conv2d', 41, 170, 170, 2, 15170), ('batchnorm...
ReLU
56,877,229
210,012
2
2,187
79.769231
0.811778
0.562019
0.200058
0.134241
12
12
12
1
1
SUCCESSFUL
0.22
1,084.84
0.8
1,085.86
input_channels:3_num_classes:944_depth:15_arch:pyramid_base_filters:41_batch:24_input_size:144_act:relu_dropout:0.45333265549041124_dropout:False_batchnorm:True.out
15
[('conv2d', 41, 144, 144, 24, 1148), ('batchnorm2d', 41, 144, 144, 24, 82), ('ReLU', 41, 144, 144, 24, 0), ('conv2d', 53, 144, 144, 24, 19610), ('batchnorm2d', 53, 144, 144, 24, 106), ('ReLU', 53, 144, 144, 24, 0), ('conv2d', 69, 144, 144, 24, 32982), ('batchnorm2d', 69, 144, 144, 24, 138), ('ReLU', 69, 144, 144, 24, 0...
ReLU
418,663,305
43,905,699
24
38,933
35.625
0.446
0.6222
0.1864
0.02775
15
15
0
1
1
OOM_CRASH
5.76
102,212.4
167.49
102,385.65
input_channels:3_num_classes:550_depth:21_arch:gradual_base_filters:88_batch:28_input_size:128_act:elu_dropout:0.4200370925092155_dropout:True_batchnorm:False.out
21
[('conv2d', 88, 128, 128, 28, 2464), ('ELU', 88, 128, 128, 28, 0), ('dropout', 88, 128, 128, 28, 0), ('conv2d', 94, 128, 128, 28, 74542), ('ELU', 94, 128, 128, 28, 0), ('dropout', 94, 128, 128, 28, 0), ('conv2d', 102, 128, 128, 28, 86394), ('ELU', 102, 128, 128, 28, 0), ('dropout', 102, 128, 128, 28, 0), ('conv2d', 110...
ELU
212,043,221
9,029,566
28
27,271
-1
-1
-1
-1
-1
21
0
21
1
1
SUCCESSFUL
5.32
60,396.28
34.45
60,436.05
input_channels:1_num_classes:744_depth:19_arch:hourglass_base_filters:104_batch:52_input_size:180_act:elu_dropout:0.49558223842078053_dropout:True_batchnorm:False.out
19
[('conv2d', 104, 180, 180, 52, 1040), ('ELU', 104, 180, 180, 52, 0), ('dropout', 104, 180, 180, 52, 0), ('conv2d', 144, 180, 180, 52, 134928), ('ELU', 144, 180, 180, 52, 0), ('dropout', 144, 180, 180, 52, 0), ('conv2d', 201, 180, 180, 52, 260697), ('ELU', 201, 180, 180, 52, 0), ('dropout', 201, 180, 180, 52, 0), ('conv...
ELU
1,024,781,192
83,067,979
52
38,437
22.166667
0.0835
0.159
0.057
0
19
0
19
1
1
OOM_CRASH
6.24
542,079.72
316.88
542,402.84
input_channels:1_num_classes:432_depth:28_arch:dense_base_filters:71_batch:52_input_size:64_act:prelu_dropout:0.2761402587831408_dropout:False_batchnorm:False.out
30
[('conv2d', 32, 64, 64, 52, 320), ('PReLU', 32, 64, 64, 52, 0), ('conv2d', 32, 64, 64, 52, 9536), ('PReLU', 32, 64, 64, 52, 0), ('conv2d', 32, 64, 64, 52, 18752), ('PReLU', 32, 64, 64, 52, 0), ('conv2d', 32, 64, 64, 52, 27968), ('PReLU', 32, 64, 64, 52, 0), ('conv2d', 64, 64, 64, 52, 8320), ('ReLU', 64, 64, 64, 52, 0),...
PReLU
3,671,360
3,102,096
52
6,059
88.630769
0.883206
0.829375
0.418893
0.031315
30
0
0
1
1
SUCCESSFUL
1.04
3,476.2
11.83
3,489.07
input_channels:1_num_classes:350_depth:26_arch:dense_base_filters:115_batch:44_input_size:152_act:relu_dropout:0.2261734158637442_dropout:True_batchnorm:False.out
25
[('conv2d', 32, 152, 152, 44, 320), ('ReLU', 32, 152, 152, 44, 0), ('dropout', 32, 152, 152, 44, 0), ('conv2d', 32, 152, 152, 44, 9536), ('ReLU', 32, 152, 152, 44, 0), ('dropout', 32, 152, 152, 44, 0), ('conv2d', 32, 152, 152, 44, 18752), ('ReLU', 32, 152, 152, 44, 0), ('dropout', 32, 152, 152, 44, 0), ('conv2d', 32, 1...
ReLU
22,920,572
2,431,966
44
22,359
93.828125
0.917031
0.910321
0.515075
0.038264
25
0
24
1
1
SUCCESSFUL
3.96
16,016.44
9.28
16,029.68
input_channels:3_num_classes:403_depth:14_arch:gradual_base_filters:34_batch:56_input_size:84_act:relu_dropout:0.26565801742857076_dropout:True_batchnorm:True.out
14
[('conv2d', 34, 84, 84, 56, 952), ('batchnorm2d', 34, 84, 84, 56, 68), ('ReLU', 34, 84, 84, 56, 0), ('dropout', 34, 84, 84, 56, 0), ('conv2d', 39, 84, 84, 56, 11973), ('batchnorm2d', 39, 84, 84, 56, 78), ('ReLU', 39, 84, 84, 56, 0), ('dropout', 39, 84, 84, 56, 0), ('conv2d', 45, 84, 84, 56, 15840), ('batchnorm2d', 45, ...
ReLU
40,925,833
1,637,547
56
11,255
90.90625
0.879712
0.867255
0.394091
0.055724
14
14
14
1
1
SUCCESSFUL
4.48
21,856.8
6.25
21,867.53
input_channels:3_num_classes:437_depth:2_arch:hourglass_base_filters:16_batch:4_input_size:28_act:gelu_dropout:0.28074536003593054_dropout:False_batchnorm:True.out
2
[('conv2d', 16, 28, 28, 4, 448), ('batchnorm2d', 16, 28, 28, 4, 32), ('GELU', 16, 28, 28, 4, 0), ('conv2d', 16, 28, 28, 4, 2320), ('batchnorm2d', 16, 28, 28, 4, 32), ('GELU', 16, 28, 28, 4, 0), ('adaptive_avg_pool2d', 0, 0, 16, 4, 0), ('linear', 0, 0, 437, 4, 7429), ('softmax', 0, 0, 437, 4, 0)]
GELU
76,154
10,261
4
1,743
29.920635
0.289738
0.042259
0.004778
0.00386
2
2
0
1
1
SUCCESSFUL
0.04
3.08
0.04
3.16
input_channels:3_num_classes:609_depth:5_arch:residual_base_filters:115_batch:32_input_size:220_act:swish_dropout:0.22973219770399822_dropout:False_batchnorm:False.out
6
[('conv2d', 115, 220, 220, 32, 460), ('conv2d', 115, 220, 220, 32, 3220), ('SiLU', 115, 220, 220, 32, 0), ('conv2d', 115, 220, 220, 32, 119140), ('SiLU', 115, 220, 220, 32, 0), ('conv2d', 204, 110, 110, 32, 23664), ('conv2d', 204, 110, 110, 32, 211344), ('SiLU', 204, 110, 110, 32, 0), ('conv2d', 204, 110, 110, 32, 3747...
SiLU
40,173,422
857,421
32
9,889
93.968254
0.916079
0.892709
0.480455
0.036218
6
0
0
1
1
SUCCESSFUL
17.6
17,654.08
3.27
17,674.95
input_channels:3_num_classes:952_depth:3_arch:residual_base_filters:35_batch:30_input_size:140_act:leaky_relu_dropout:0.29823725057415873_dropout:False_batchnorm:False.out
3
[('conv2d', 35, 140, 140, 30, 140), ('conv2d', 35, 140, 140, 30, 980), ('LeakyReLU', 35, 140, 140, 30, 0), ('conv2d', 35, 140, 140, 30, 11060), ('LeakyReLU', 35, 140, 140, 30, 0), ('adaptive_avg_pool2d', 0, 0, 35, 30, 0), ('linear', 0, 0, 952, 30, 34272), ('softmax', 0, 0, 952, 30, 0)]
LeakyReLU
3,431,939
46,452
30
2,365
-1
-1
-1
-1
-1
3
0
0
1
1
SUCCESSFUL
6.6
1,413.6
0.18
1,420.38
input_channels:3_num_classes:941_depth:6_arch:pyramid_base_filters:60_batch:2_input_size:182_act:elu_dropout:0.423754818994422_dropout:False_batchnorm:True.out
6
[('conv2d', 60, 182, 182, 2, 1680), ('batchnorm2d', 60, 182, 182, 2, 120), ('ELU', 60, 182, 182, 2, 0), ('conv2d', 108, 182, 182, 2, 58428), ('batchnorm2d', 108, 182, 182, 2, 216), ('ELU', 108, 182, 182, 2, 0), ('conv2d', 194, 182, 182, 2, 188762), ('batchnorm2d', 194, 182, 182, 2, 388), ('ELU', 194, 182, 182, 2, 0), (...
ELU
246,445,579
10,382,579
2
4,913
93.484375
0.932571
0.921811
0.305566
0.022868
6
6
0
1
1
SUCCESSFUL
0.76
5,013.94
39.61
5,054.31
input_channels:3_num_classes:64_depth:20_arch:bottleneck_base_filters:86_batch:28_input_size:122_act:gelu_dropout:0.3184258093895346_dropout:False_batchnorm:False.out
20
[('conv2d', 172, 122, 122, 28, 4816), ('GELU', 172, 122, 122, 28, 0), ('conv2d', 86, 122, 122, 28, 133214), ('GELU', 86, 122, 122, 28, 0), ('conv2d', 101, 122, 122, 28, 78275), ('GELU', 101, 122, 122, 28, 0), ('conv2d', 120, 122, 122, 28, 109200), ('GELU', 120, 122, 122, 28, 0), ('conv2d', 141, 122, 122, 28, 152421), (...
GELU
326,527,053
80,619,412
28
38,909
14.6
0.1032
0.6255
0.1285
0.006
20
0
0
1
1
OOM_CRASH
4.76
104,630.4
307.54
104,942.7
input_channels:1_num_classes:575_depth:14_arch:hourglass_base_filters:116_batch:4_input_size:208_act:gelu_dropout:0.36523025085909666_dropout:True_batchnorm:False.out
14
[('conv2d', 116, 208, 208, 4, 1160), ('GELU', 116, 208, 208, 4, 0), ('dropout', 116, 208, 208, 4, 0), ('conv2d', 174, 208, 208, 4, 181830), ('GELU', 174, 208, 208, 4, 0), ('dropout', 174, 208, 208, 4, 0), ('conv2d', 263, 208, 208, 4, 412121), ('GELU', 263, 208, 208, 4, 0), ('dropout', 263, 208, 208, 4, 0), ('conv2d', 3...
GELU
988,237,554
55,735,551
4
16,699
-1
-1
-1
-1
-1
14
0
14
1
1
SUCCESSFUL
0.68
40,211.48
212.61
40,424.77
input_channels:1_num_classes:739_depth:1_arch:residual_base_filters:69_batch:26_input_size:124_act:swish_dropout:0.1778507711403616_dropout:True_batchnorm:True.out
0
[]
null
0
0
26
1,451
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:641_depth:2_arch:dense_base_filters:26_batch:16_input_size:200_act:leaky_relu_dropout:0.36776744274836837_dropout:False_batchnorm:True.out
0
[]
null
0
0
16
1,451
11.322034
0.062797
0.015527
0.014632
0.021
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:628_depth:10_arch:hourglass_base_filters:93_batch:58_input_size:64_act:gelu_dropout:0.39365568546136953_dropout:False_batchnorm:True.out
10
[('conv2d', 93, 64, 64, 58, 930), ('batchnorm2d', 93, 64, 64, 58, 186), ('GELU', 93, 64, 64, 58, 0), ('conv2d', 172, 64, 64, 58, 144136), ('batchnorm2d', 172, 64, 64, 58, 344), ('GELU', 172, 64, 64, 58, 0), ('conv2d', 320, 64, 64, 58, 495680), ('batchnorm2d', 320, 64, 64, 58, 640), ('GELU', 320, 64, 64, 58, 0), ('conv2...
GELU
56,083,781
27,516,406
58
24,647
94.446154
0.933547
0.944772
0.24886
0.018696
10
10
0
1
1
SUCCESSFUL
1.16
33,089.58
104.97
33,195.71
input_channels:3_num_classes:756_depth:17_arch:hourglass_base_filters:122_batch:50_input_size:136_act:gelu_dropout:0.2641192211899279_dropout:False_batchnorm:False.out
17
[('conv2d', 122, 136, 136, 50, 3416), ('GELU', 122, 136, 136, 50, 0), ('conv2d', 173, 136, 136, 50, 190127), ('GELU', 173, 136, 136, 50, 0), ('conv2d', 246, 136, 136, 50, 383268), ('GELU', 246, 136, 136, 50, 0), ('conv2d', 351, 136, 136, 50, 777465), ('GELU', 351, 136, 136, 50, 0), ('conv2d', 499, 136, 136, 50, 1576840...
GELU
361,820,386
76,588,504
50
37,027
-1
-1
-1
-1
-1
17
0
0
1
1
OOM_CRASH
10.5
207,035
292.16
207,337.66
input_channels:3_num_classes:184_depth:5_arch:pyramid_base_filters:64_batch:4_input_size:78_act:selu_dropout:0.23630963685595097_dropout:True_batchnorm:True.out
5
[('conv2d', 64, 78, 78, 4, 1792), ('batchnorm2d', 64, 78, 78, 4, 128), ('SELU', 64, 78, 78, 4, 0), ('dropout', 64, 78, 78, 4, 0), ('conv2d', 128, 78, 78, 4, 73856), ('batchnorm2d', 128, 78, 78, 4, 256), ('SELU', 128, 78, 78, 4, 0), ('dropout', 128, 78, 78, 4, 0), ('conv2d', 256, 78, 78, 4, 295168), ('batchnorm2d', 256,...
SELU
48,284,016
6,463,160
4
3,023
88.833333
0.873954
0.868192
0.309346
0.029259
5
5
5
1
1
SUCCESSFUL
0.28
1,841.88
24.65
1,866.81
input_channels:1_num_classes:767_depth:9_arch:residual_base_filters:19_batch:42_input_size:176_act:tanh_dropout:0.14543574930442357_dropout:False_batchnorm:False.out
12
[('conv2d', 19, 176, 176, 42, 38), ('conv2d', 19, 176, 176, 42, 190), ('Tanh', 19, 176, 176, 42, 0), ('conv2d', 19, 176, 176, 42, 3268), ('Tanh', 19, 176, 176, 42, 0), ('conv2d', 31, 88, 88, 42, 620), ('conv2d', 31, 88, 88, 42, 5332), ('Tanh', 31, 88, 88, 42, 0), ('conv2d', 31, 88, 88, 42, 8680), ('Tanh', 31, 88, 88, 4...
Tanh
7,068,024
250,665
42
3,233
82.0625
0.809625
0.759614
0.390421
0.131018
12
0
0
1
1
SUCCESSFUL
5.04
4,076.1
0.96
4,082.1
input_channels:3_num_classes:72_depth:17_arch:gradual_base_filters:47_batch:18_input_size:98_act:softplus_dropout:0.476783257899112_dropout:False_batchnorm:True.out
17
[('conv2d', 47, 98, 98, 18, 1316), ('batchnorm2d', 47, 98, 98, 18, 94), ('Softplus', 47, 98, 98, 18, 0), ('conv2d', 52, 98, 98, 18, 22048), ('batchnorm2d', 52, 98, 98, 18, 104), ('Softplus', 52, 98, 98, 18, 0), ('conv2d', 58, 98, 98, 18, 27202), ('batchnorm2d', 58, 98, 98, 18, 116), ('Softplus', 58, 98, 98, 18, 0), ('c...
Softplus
64,395,241
3,042,207
18
8,547
92.630769
0.92727
0.897667
0.371902
0.038544
17
17
0
1
1
SUCCESSFUL
1.98
11,791.08
11.61
11,804.67
input_channels:1_num_classes:52_depth:3_arch:hourglass_base_filters:24_batch:4_input_size:176_act:tanh_dropout:0.17806857094088638_dropout:True_batchnorm:True.out
3
[('conv2d', 24, 176, 176, 4, 240), ('batchnorm2d', 24, 176, 176, 4, 48), ('Tanh', 24, 176, 176, 4, 0), ('dropout', 24, 176, 176, 4, 0), ('conv2d', 221, 176, 176, 4, 47957), ('batchnorm2d', 221, 176, 176, 4, 442), ('Tanh', 221, 176, 176, 4, 0), ('dropout', 221, 176, 176, 4, 0), ('conv2d', 24, 176, 176, 4, 47760), ('batc...
Tanh
33,330,304
97,795
4
2,627
81.714286
0.837846
0.754351
0.37293
0.129636
3
3
3
1
1
SUCCESSFUL
0.48
1,271.44
0.37
1,272.29
input_channels:3_num_classes:335_depth:25_arch:uniform_base_filters:81_batch:44_input_size:218_act:prelu_dropout:0.33136590071487126_dropout:False_batchnorm:True.out
25
[('conv2d', 81, 218, 218, 44, 2268), ('batchnorm2d', 81, 218, 218, 44, 162), ('PReLU', 81, 218, 218, 44, 0), ('conv2d', 81, 218, 218, 44, 59130), ('batchnorm2d', 81, 218, 218, 44, 162), ('PReLU', 81, 218, 218, 44, 0), ('conv2d', 81, 218, 218, 44, 59130), ('batchnorm2d', 81, 218, 218, 44, 162), ('PReLU', 81, 218, 218, 4...
PReLU
288,709,051
1,452,908
44
39,895
-1
-1
-1
-1
-1
25
25
0
1
1
OOM_CRASH
23.76
129,223.6
5.54
129,252.9
input_channels:1_num_classes:516_depth:19_arch:dense_base_filters:52_batch:24_input_size:74_act:leaky_relu_dropout:0.3954835348936946_dropout:True_batchnorm:True.out
17
[('conv2d', 32, 74, 74, 24, 320), ('batchnorm2d', 32, 74, 74, 24, 64), ('LeakyReLU', 32, 74, 74, 24, 0), ('dropout', 32, 74, 74, 24, 0), ('conv2d', 32, 74, 74, 24, 9536), ('batchnorm2d', 32, 74, 74, 24, 64), ('LeakyReLU', 32, 74, 74, 24, 0), ('dropout', 32, 74, 74, 24, 0), ('conv2d', 32, 74, 74, 24, 18752), ('batchnorm...
LeakyReLU
5,959,368
1,127,556
24
3,119
-1
-1
-1
-1
-1
17
17
16
1
1
SUCCESSFUL
0.48
1,782
4.3
1,786.78
input_channels:1_num_classes:973_depth:16_arch:bottleneck_base_filters:40_batch:38_input_size:142_act:swish_dropout:0.3859857385417601_dropout:False_batchnorm:False.out
16
[('conv2d', 80, 142, 142, 38, 800), ('SiLU', 80, 142, 142, 38, 0), ('conv2d', 40, 142, 142, 38, 28840), ('SiLU', 40, 142, 142, 38, 0), ('conv2d', 52, 142, 142, 38, 18772), ('SiLU', 52, 142, 142, 38, 0), ('conv2d', 67, 142, 142, 38, 31423), ('SiLU', 67, 142, 142, 38, 0), ('conv2d', 87, 142, 142, 38, 52548), ('SiLU', 87,...
SiLU
272,943,425
43,583,104
38
40,047
7.4
0.0275
0.174
0.034
0
16
0
0
1
1
OOM_CRASH
3.04
118,696.04
166.26
118,865.34
input_channels:1_num_classes:48_depth:5_arch:gradual_base_filters:69_batch:34_input_size:194_act:softplus_dropout:0.44798362311644435_dropout:True_batchnorm:True.out
5
[('conv2d', 69, 194, 194, 34, 690), ('batchnorm2d', 69, 194, 194, 34, 138), ('Softplus', 69, 194, 194, 34, 0), ('dropout', 69, 194, 194, 34, 0), ('conv2d', 96, 194, 194, 34, 59712), ('batchnorm2d', 96, 194, 194, 34, 192), ('Softplus', 96, 194, 194, 34, 0), ('dropout', 96, 194, 194, 34, 0), ('conv2d', 135, 194, 194, 34,...
Softplus
113,962,171
879,432
34
22,285
-1
-1
-1
-1
-1
5
5
5
1
1
SUCCESSFUL
4.76
36,952.22
3.35
36,960.33
input_channels:3_num_classes:302_depth:8_arch:pyramid_base_filters:33_batch:10_input_size:110_act:prelu_dropout:0.11471171887104187_dropout:False_batchnorm:False.out
8
[('conv2d', 33, 110, 110, 10, 924), ('PReLU', 33, 110, 110, 10, 0), ('conv2d', 55, 110, 110, 10, 16390), ('PReLU', 55, 110, 110, 10, 0), ('conv2d', 92, 110, 110, 10, 45632), ('PReLU', 92, 110, 110, 10, 0), ('conv2d', 155, 110, 110, 10, 128495), ('PReLU', 155, 110, 110, 10, 0), ('conv2d', 259, 110, 110, 10, 361564), ('P...
PReLU
72,117,826
12,810,299
10
6,751
-1
-1
-1
-1
-1
8
0
0
1
1
SUCCESSFUL
1.4
8,253.2
48.87
8,303.47
input_channels:1_num_classes:631_depth:7_arch:uniform_base_filters:104_batch:4_input_size:34_act:leaky_relu_dropout:0.24736544761516935_dropout:False_batchnorm:True.out
7
[('conv2d', 104, 34, 34, 4, 1040), ('batchnorm2d', 104, 34, 34, 4, 208), ('LeakyReLU', 104, 34, 34, 4, 0), ('conv2d', 104, 34, 34, 4, 97448), ('batchnorm2d', 104, 34, 34, 4, 208), ('LeakyReLU', 104, 34, 34, 4, 0), ('conv2d', 104, 34, 34, 4, 97448), ('batchnorm2d', 104, 34, 34, 4, 208), ('LeakyReLU', 104, 34, 34, 4, 0),...
LeakyReLU
2,526,070
653,439
4
1,803
40.322581
0.389047
0.184414
0.038483
0.003981
7
7
0
1
1
SUCCESSFUL
0
102.76
2.49
105.25
input_channels:3_num_classes:663_depth:22_arch:hourglass_base_filters:99_batch:16_input_size:114_act:relu_dropout:0.41906776014051583_dropout:False_batchnorm:False.out
22
[('conv2d', 99, 114, 114, 16, 2772), ('ReLU', 99, 114, 114, 16, 0), ('conv2d', 130, 114, 114, 16, 115960), ('ReLU', 130, 114, 114, 16, 0), ('conv2d', 171, 114, 114, 16, 200241), ('ReLU', 171, 114, 114, 16, 0), ('conv2d', 226, 114, 114, 16, 348040), ('ReLU', 226, 114, 114, 16, 0), ('conv2d', 297, 114, 114, 16, 604395), ...
ReLU
319,235,169
99,408,531
16
23,705
94.384615
0.93775
0.967719
0.187614
0.0022
22
0
0
1
1
SUCCESSFUL
2.4
58,453.6
379.21
58,835.21
input_channels:1_num_classes:731_depth:8_arch:bottleneck_base_filters:50_batch:56_input_size:142_act:softplus_dropout:0.4304207542286952_dropout:True_batchnorm:False.out
8
[('conv2d', 100, 142, 142, 56, 1000), ('Softplus', 100, 142, 142, 56, 0), ('dropout', 100, 142, 142, 56, 0), ('conv2d', 50, 142, 142, 56, 45050), ('Softplus', 50, 142, 142, 56, 0), ('dropout', 50, 142, 142, 56, 0), ('conv2d', 84, 142, 142, 56, 37884), ('Softplus', 84, 142, 142, 56, 0), ('dropout', 84, 142, 142, 56, 0),...
Softplus
178,696,035
12,664,091
56
40,293
45.285714
0.24975
0.54775
0.137
0.0275
8
0
8
1
1
OOM_CRASH
4.48
101,795.68
48.31
101,848.47
input_channels:3_num_classes:136_depth:11_arch:residual_base_filters:56_batch:58_input_size:64_act:elu_dropout:0.10482651783849156_dropout:True_batchnorm:False.out
15
[('conv2d', 56, 64, 64, 58, 224), ('conv2d', 56, 64, 64, 58, 1568), ('ELU', 56, 64, 64, 58, 0), ('dropout', 56, 64, 64, 58, 0), ('conv2d', 56, 64, 64, 58, 28280), ('ELU', 56, 64, 64, 58, 0), ('dropout', 56, 64, 64, 58, 0), ('conv2d', 77, 32, 32, 58, 4389), ('conv2d', 77, 32, 32, 58, 38885), ('ELU', 77, 32, 32, 58, 0), ...
ELU
3,562,975
1,395,202
58
2,737
71.875
0.722953
0.622268
0.302732
0.068018
15
0
10
1
1
SUCCESSFUL
2.9
2,477.18
5.32
2,485.4
input_channels:1_num_classes:802_depth:27_arch:bottleneck_base_filters:43_batch:2_input_size:58_act:softplus_dropout:0.14638472792756008_dropout:False_batchnorm:False.out
27
[('conv2d', 86, 58, 58, 2, 860), ('Softplus', 86, 58, 58, 2, 0), ('conv2d', 43, 58, 58, 2, 33325), ('Softplus', 43, 58, 58, 2, 0), ('conv2d', 49, 58, 58, 2, 19012), ('Softplus', 49, 58, 58, 2, 0), ('conv2d', 57, 58, 58, 2, 25194), ('Softplus', 57, 58, 58, 2, 0), ('conv2d', 67, 58, 58, 2, 34438), ('Softplus', 67, 58, 58...
Softplus
84,695,433
95,324,003
2
3,985
93.71875
0.931222
0.870947
0.273351
0.015491
27
0
0
1
1
SUCCESSFUL
0.02
1,938.5
363.63
2,302.15
input_channels:3_num_classes:356_depth:6_arch:dense_base_filters:116_batch:28_input_size:194_act:relu_dropout:0.2821057864270274_dropout:False_batchnorm:False.out
4
[('conv2d', 32, 194, 194, 28, 896), ('ReLU', 32, 194, 194, 28, 0), ('conv2d', 32, 194, 194, 28, 10112), ('ReLU', 32, 194, 194, 28, 0), ('conv2d', 32, 194, 194, 28, 19328), ('ReLU', 32, 194, 194, 28, 0), ('conv2d', 32, 194, 194, 28, 28544), ('ReLU', 32, 194, 194, 28, 0), ('adaptive_avg_pool2d', 0, 0, 131, 28, 0), ('line...
ReLU
9,635,659
105,872
28
5,295
88.890625
0.854349
0.853582
0.473727
0.185491
4
0
0
1
1
SUCCESSFUL
12.04
4,140.64
0.4
4,153.08
input_channels:3_num_classes:126_depth:26_arch:bottleneck_base_filters:34_batch:28_input_size:36_act:relu_dropout:0.2851797291236666_dropout:True_batchnorm:True.out
26
[('conv2d', 68, 36, 36, 28, 1904), ('batchnorm2d', 68, 36, 36, 28, 136), ('ReLU', 68, 36, 36, 28, 0), ('dropout', 68, 36, 36, 28, 0), ('conv2d', 34, 36, 36, 28, 20842), ('batchnorm2d', 34, 36, 36, 28, 68), ('ReLU', 34, 36, 36, 28, 0), ('dropout', 34, 36, 36, 28, 0), ('conv2d', 40, 36, 36, 28, 12280), ('batchnorm2d', 40...
ReLU
58,918,150
82,750,215
28
9,197
95.184615
0.93981
0.943444
0.252259
0.010755
26
26
26
1
1
SUCCESSFUL
0.28
15,732.64
315.67
16,048.59
input_channels:1_num_classes:640_depth:6_arch:pyramid_base_filters:96_batch:48_input_size:42_act:swish_dropout:0.2983886751757486_dropout:False_batchnorm:False.out
6
[('conv2d', 96, 42, 42, 48, 960), ('SiLU', 96, 42, 42, 48, 0), ('conv2d', 159, 42, 42, 48, 137535), ('SiLU', 159, 42, 42, 48, 0), ('conv2d', 266, 42, 42, 48, 380912), ('SiLU', 266, 42, 42, 48, 0), ('conv2d', 443, 42, 42, 48, 1060985), ('SiLU', 443, 42, 42, 48, 0), ('conv2d', 738, 42, 42, 48, 2943144), ('SiLU', 738, 42,...
SiLU
10,343,077
13,474,983
48
6,275
90.234375
0.914266
0.904845
0.258224
0.0145
6
0
0
1
1
SUCCESSFUL
0.48
5,681.28
51.4
5,733.16
input_channels:1_num_classes:204_depth:10_arch:hourglass_base_filters:73_batch:20_input_size:50_act:leaky_relu_dropout:0.4551489868949259_dropout:True_batchnorm:True.out
10
[('conv2d', 73, 50, 50, 20, 730), ('batchnorm2d', 73, 50, 50, 20, 146), ('LeakyReLU', 73, 50, 50, 20, 0), ('dropout', 73, 50, 50, 20, 0), ('conv2d', 142, 50, 50, 20, 93436), ('batchnorm2d', 142, 50, 50, 20, 284), ('LeakyReLU', 142, 50, 50, 20, 0), ('dropout', 142, 50, 50, 20, 0), ('conv2d', 277, 50, 50, 20, 354283), ('...
LeakyReLU
41,640,481
23,748,510
20
5,167
93.061538
0.921754
0.918754
0.258053
0.009474
10
10
10
1
1
SUCCESSFUL
0.2
7,942.2
90.59
8,032.99
input_channels:1_num_classes:471_depth:28_arch:gradual_base_filters:123_batch:12_input_size:134_act:elu_dropout:0.4150432902785465_dropout:True_batchnorm:False.out
28
[('conv2d', 123, 134, 134, 12, 1230), ('ELU', 123, 134, 134, 12, 0), ('dropout', 123, 134, 134, 12, 0), ('conv2d', 129, 134, 134, 12, 142932), ('ELU', 129, 134, 134, 12, 0), ('dropout', 129, 134, 134, 12, 0), ('conv2d', 135, 134, 134, 12, 156870), ('ELU', 135, 134, 134, 12, 0), ('dropout', 135, 134, 134, 12, 0), ('conv...
ELU
395,554,143
19,217,414
12
23,653
94.5
0.940063
0.930655
0.350963
0.016473
28
0
28
1
1
SUCCESSFUL
0.84
48,285.36
73.31
48,359.51
input_channels:3_num_classes:267_depth:16_arch:residual_base_filters:83_batch:58_input_size:216_act:leaky_relu_dropout:0.26245606270638666_dropout:False_batchnorm:False.out
24
[('conv2d', 83, 216, 216, 58, 332), ('conv2d', 83, 216, 216, 58, 2324), ('LeakyReLU', 83, 216, 216, 58, 0), ('conv2d', 83, 216, 216, 58, 62084), ('LeakyReLU', 83, 216, 216, 58, 0), ('conv2d', 101, 108, 108, 58, 8484), ('conv2d', 101, 108, 108, 58, 75548), ('LeakyReLU', 101, 108, 108, 58, 0), ('conv2d', 101, 108, 108, 5...
LeakyReLU
39,471,141
5,705,802
58
16,739
-1
-1
-1
-1
-1
24
0
0
1
1
SUCCESSFUL
30.74
31,438.9
21.77
31,491.41
input_channels:1_num_classes:782_depth:9_arch:pyramid_base_filters:49_batch:14_input_size:194_act:swish_dropout:0.10072289541060112_dropout:True_batchnorm:False.out
9
[('conv2d', 49, 194, 194, 14, 490), ('SiLU', 49, 194, 194, 14, 0), ('dropout', 49, 194, 194, 14, 0), ('conv2d', 74, 194, 194, 14, 32708), ('SiLU', 74, 194, 194, 14, 0), ('dropout', 74, 194, 194, 14, 0), ('conv2d', 112, 194, 194, 14, 74704), ('SiLU', 112, 194, 194, 14, 0), ('dropout', 112, 194, 194, 14, 0), ('conv2d', 1...
SiLU
438,763,404
20,307,370
14
34,011
-1
-1
-1
-1
-1
9
0
9
1
1
SUCCESSFUL
1.96
62,486.48
77.47
62,565.91
input_channels:3_num_classes:628_depth:15_arch:gradual_base_filters:59_batch:4_input_size:42_act:elu_dropout:0.2329063221874305_dropout:True_batchnorm:False.out
15
[('conv2d', 59, 42, 42, 4, 1652), ('ELU', 59, 42, 42, 4, 0), ('dropout', 59, 42, 42, 4, 0), ('conv2d', 66, 42, 42, 4, 35112), ('ELU', 66, 42, 42, 4, 0), ('dropout', 66, 42, 42, 4, 0), ('conv2d', 74, 42, 42, 4, 44030), ('ELU', 74, 42, 42, 4, 0), ('dropout', 74, 42, 42, 4, 0), ('conv2d', 84, 42, 42, 4, 56028), ('ELU', 84...
ELU
12,120,244
3,661,963
4
2,039
-1
-1
-1
-1
-1
15
0
15
1
1
SUCCESSFUL
0.08
493.16
13.97
507.21
input_channels:3_num_classes:406_depth:17_arch:hourglass_base_filters:85_batch:14_input_size:18_act:tanh_dropout:0.2875021578594995_dropout:False_batchnorm:False.out
17
[('conv2d', 85, 18, 18, 14, 2380), ('Tanh', 85, 18, 18, 14, 0), ('conv2d', 126, 18, 18, 14, 96516), ('Tanh', 126, 18, 18, 14, 0), ('conv2d', 188, 18, 18, 14, 213380), ('Tanh', 188, 18, 18, 14, 0), ('conv2d', 280, 18, 18, 14, 474040), ('Tanh', 280, 18, 18, 14, 0), ('conv2d', 417, 18, 18, 14, 1051257), ('Tanh', 417, 18, ...
Tanh
5,600,265
64,262,652
14
3,213
89.484375
0.881215
0.839491
0.299386
0.011912
17
0
0
1
1
SUCCESSFUL
0
897.26
245.14
1,142.4
input_channels:3_num_classes:630_depth:21_arch:hourglass_base_filters:79_batch:40_input_size:74_act:softplus_dropout:0.16034787811593676_dropout:True_batchnorm:False.out
21
[('conv2d', 79, 74, 74, 40, 2212), ('Softplus', 79, 74, 74, 40, 0), ('dropout', 79, 74, 74, 40, 0), ('conv2d', 109, 74, 74, 40, 77608), ('Softplus', 109, 74, 74, 40, 0), ('dropout', 109, 74, 74, 40, 0), ('conv2d', 151, 74, 74, 40, 148282), ('Softplus', 151, 74, 74, 40, 0), ('dropout', 151, 74, 74, 40, 0), ('conv2d', 20...
Softplus
177,834,439
84,551,902
40
27,807
93.969231
0.927477
0.963702
0.220965
0.009123
21
0
21
1
1
SUCCESSFUL
2.4
72,360.8
322.54
72,685.74
input_channels:1_num_classes:855_depth:29_arch:hourglass_base_filters:89_batch:48_input_size:122_act:softplus_dropout:0.25437067175243394_dropout:False_batchnorm:False.out
29
[('conv2d', 89, 122, 122, 48, 890), ('Softplus', 89, 122, 122, 48, 0), ('conv2d', 111, 122, 122, 48, 89022), ('Softplus', 111, 122, 122, 48, 0), ('conv2d', 139, 122, 122, 48, 139000), ('Softplus', 139, 122, 122, 48, 0), ('conv2d', 174, 122, 122, 48, 217848), ('Softplus', 174, 122, 122, 48, 0), ('conv2d', 218, 122, 122,...
Softplus
482,689,919
136,477,869
48
37,307
31.285714
0.0495
0.102
0.021
0.004333
29
0
0
1
1
OOM_CRASH
2.88
265,149.12
520.62
265,672.62
input_channels:3_num_classes:663_depth:20_arch:gradual_base_filters:59_batch:2_input_size:222_act:swish_dropout:0.39837913305426_dropout:False_batchnorm:True.out
20
[('conv2d', 59, 222, 222, 2, 1652), ('batchnorm2d', 59, 222, 222, 2, 118), ('SiLU', 59, 222, 222, 2, 0), ('conv2d', 64, 222, 222, 2, 34048), ('batchnorm2d', 64, 222, 222, 2, 128), ('SiLU', 64, 222, 222, 2, 0), ('conv2d', 70, 222, 222, 2, 40390), ('batchnorm2d', 70, 222, 222, 2, 140), ('SiLU', 70, 222, 222, 2, 0), ('con...
SiLU
458,786,400
5,150,367
2
6,377
-1
-1
-1
-1
-1
20
20
0
1
1
SUCCESSFUL
1.12
9,334.02
19.65
9,354.79
input_channels:1_num_classes:585_depth:1_arch:hourglass_base_filters:114_batch:6_input_size:76_act:softplus_dropout:0.191037225053279_dropout:False_batchnorm:True.out
1
[('conv2d', 114, 76, 76, 6, 1140), ('batchnorm2d', 114, 76, 76, 6, 228), ('Softplus', 114, 76, 76, 6, 0), ('adaptive_avg_pool2d', 0, 0, 114, 6, 0), ('linear', 0, 0, 585, 6, 67275), ('softmax', 0, 0, 585, 6, 0)]
Softplus
1,976,676
68,643
6
1,825
32.327869
0.30727
0.157218
0.065564
0.018345
1
1
0
1
1
SUCCESSFUL
0.12
120.6
0.26
120.98
input_channels:3_num_classes:940_depth:29_arch:gradual_base_filters:95_batch:26_input_size:164_act:swish_dropout:0.24661980629742747_dropout:False_batchnorm:True.out
29
[('conv2d', 95, 164, 164, 26, 2660), ('batchnorm2d', 95, 164, 164, 26, 190), ('SiLU', 95, 164, 164, 26, 0), ('conv2d', 100, 164, 164, 26, 85600), ('batchnorm2d', 100, 164, 164, 26, 200), ('SiLU', 100, 164, 164, 26, 0), ('conv2d', 105, 164, 164, 26, 94605), ('batchnorm2d', 105, 164, 164, 26, 210), ('SiLU', 105, 164, 164...
SiLU
512,532,474
14,462,231
26
40,005
-1
-1
-1
-1
-1
29
29
0
1
1
OOM_CRASH
8.06
135,557.24
55.17
135,620.47
input_channels:3_num_classes:770_depth:14_arch:hourglass_base_filters:120_batch:8_input_size:64_act:softplus_dropout:0.15804290864843487_dropout:True_batchnorm:False.out
14
[('conv2d', 120, 64, 64, 8, 3360), ('Softplus', 120, 64, 64, 8, 0), ('dropout', 120, 64, 64, 8, 0), ('conv2d', 179, 64, 64, 8, 193499), ('Softplus', 179, 64, 64, 8, 0), ('dropout', 179, 64, 64, 8, 0), ('conv2d', 269, 64, 64, 8, 433628), ('Softplus', 269, 64, 64, 8, 0), ('dropout', 269, 64, 64, 8, 0), ('conv2d', 404, 64...
Softplus
94,717,564
56,798,133
8
5,267
-1
-1
-1
-1
-1
14
0
14
1
1
SUCCESSFUL
0.4
7,708.08
216.67
7,925.15
input_channels:3_num_classes:62_depth:28_arch:residual_base_filters:90_batch:16_input_size:78_act:prelu_dropout:0.41907225252227487_dropout:True_batchnorm:True.out
24
[('conv2d', 90, 78, 78, 16, 360), ('batchnorm2d', 90, 78, 78, 16, 180), ('conv2d', 90, 78, 78, 16, 2520), ('batchnorm2d', 90, 78, 78, 16, 180), ('PReLU', 90, 78, 78, 16, 0), ('dropout', 90, 78, 78, 16, 0), ('conv2d', 90, 78, 78, 16, 72990), ('batchnorm2d', 90, 78, 78, 16, 180), ('PReLU', 90, 78, 78, 16, 0), ('dropout',...
PReLU
10,141,440
2,815,350
16
2,501
-1
-1
-1
-1
-1
24
24
16
1
1
SUCCESSFUL
1.12
1,609.28
10.74
1,621.14
input_channels:3_num_classes:428_depth:25_arch:uniform_base_filters:22_batch:2_input_size:82_act:selu_dropout:0.3172342090322318_dropout:True_batchnorm:True.out
25
[('conv2d', 22, 82, 82, 2, 616), ('batchnorm2d', 22, 82, 82, 2, 44), ('SELU', 22, 82, 82, 2, 0), ('dropout', 22, 82, 82, 2, 0), ('conv2d', 22, 82, 82, 2, 4378), ('batchnorm2d', 22, 82, 82, 2, 44), ('SELU', 22, 82, 82, 2, 0), ('dropout', 22, 82, 82, 2, 0), ('conv2d', 22, 82, 82, 2, 4378), ('batchnorm2d', 22, 82, 82, 2, ...
SELU
14,793,678
116,632
2
1,851
37.28125
0.361875
0.145667
0.031211
0.0365
25
25
25
1
1
SUCCESSFUL
0.16
282.16
0.44
282.76
input_channels:3_num_classes:437_depth:27_arch:hourglass_base_filters:47_batch:28_input_size:136_act:softplus_dropout:0.326340072869722_dropout:False_batchnorm:True.out
27
[('conv2d', 47, 136, 136, 28, 1316), ('batchnorm2d', 47, 136, 136, 28, 94), ('Softplus', 47, 136, 136, 28, 0), ('conv2d', 62, 136, 136, 28, 26288), ('batchnorm2d', 62, 136, 136, 28, 124), ('Softplus', 62, 136, 136, 28, 0), ('conv2d', 84, 136, 136, 28, 46956), ('batchnorm2d', 84, 136, 136, 28, 168), ('Softplus', 84, 136...
Softplus
687,719,193
97,652,826
28
40,059
18.5
0.198857
0.6815
0.257
0.020333
27
27
0
1
1
OOM_CRASH
5.88
195,883.52
372.52
196,261.92
input_channels:3_num_classes:652_depth:18_arch:uniform_base_filters:111_batch:16_input_size:130_act:leaky_relu_dropout:0.10112317932747811_dropout:False_batchnorm:True.out
18
[('conv2d', 111, 130, 130, 16, 3108), ('batchnorm2d', 111, 130, 130, 16, 222), ('LeakyReLU', 111, 130, 130, 16, 0), ('conv2d', 111, 130, 130, 16, 111000), ('batchnorm2d', 111, 130, 130, 16, 222), ('LeakyReLU', 111, 130, 130, 16, 0), ('conv2d', 111, 130, 130, 16, 111000), ('batchnorm2d', 111, 130, 130, 16, 222), ('Leaky...
LeakyReLU
101,300,015
1,967,128
16
9,443
92.078125
0.910138
0.920891
0.444327
0.025308
18
18
0
1
1
SUCCESSFUL
3.04
16,487.52
7.5
16,498.06
input_channels:3_num_classes:608_depth:17_arch:gradual_base_filters:114_batch:38_input_size:204_act:selu_dropout:0.22973040198701267_dropout:False_batchnorm:True.out
17
[('conv2d', 114, 204, 204, 38, 3192), ('batchnorm2d', 114, 204, 204, 38, 228), ('SELU', 114, 204, 204, 38, 0), ('conv2d', 124, 204, 204, 38, 127348), ('batchnorm2d', 124, 204, 204, 38, 248), ('SELU', 124, 204, 204, 38, 0), ('conv2d', 135, 204, 204, 38, 150795), ('batchnorm2d', 135, 204, 204, 38, 270), ('SELU', 135, 204...
SELU
518,745,099
9,977,964
38
39,311
24.166667
0.174167
0.001
0
0.044
17
17
0
1
1
OOM_CRASH
18.24
200,523.72
38.06
200,580.02
input_channels:3_num_classes:645_depth:12_arch:pyramid_base_filters:26_batch:52_input_size:20_act:tanh_dropout:0.13215996686278633_dropout:True_batchnorm:False.out
12
[('conv2d', 26, 20, 20, 52, 728), ('Tanh', 26, 20, 20, 52, 0), ('dropout', 26, 20, 20, 52, 0), ('conv2d', 37, 20, 20, 52, 8695), ('Tanh', 37, 20, 20, 52, 0), ('dropout', 37, 20, 20, 52, 0), ('conv2d', 53, 20, 20, 52, 17702), ('Tanh', 53, 20, 20, 52, 0), ('dropout', 53, 20, 20, 52, 0), ('conv2d', 77, 20, 20, 52, 36806),...
Tanh
5,525,113
25,397,700
52
3,553
87.907692
0.870687
0.867732
0.260536
0.0095
12
0
12
1
1
SUCCESSFUL
0
2,922.4
96.88
3,019.28
input_channels:1_num_classes:155_depth:4_arch:residual_base_filters:20_batch:24_input_size:82_act:tanh_dropout:0.3376869939987167_dropout:False_batchnorm:False.out
6
[('conv2d', 20, 82, 82, 24, 40), ('conv2d', 20, 82, 82, 24, 200), ('Tanh', 20, 82, 82, 24, 0), ('conv2d', 20, 82, 82, 24, 3620), ('Tanh', 20, 82, 82, 24, 0), ('conv2d', 63, 41, 41, 24, 1323), ('conv2d', 63, 41, 41, 24, 11403), ('Tanh', 63, 41, 41, 24, 0), ('conv2d', 63, 41, 41, 24, 35784), ('Tanh', 63, 41, 41, 24, 0), ...
Tanh
1,202,288
62,290
24
1,895
-1
-1
-1
-1
-1
6
0
0
1
1
SUCCESSFUL
0.72
396.24
0.24
397.2
input_channels:1_num_classes:455_depth:26_arch:dense_base_filters:70_batch:60_input_size:188_act:elu_dropout:0.3594284228776_dropout:False_batchnorm:True.out
25
[('conv2d', 32, 188, 188, 60, 320), ('batchnorm2d', 32, 188, 188, 60, 64), ('ELU', 32, 188, 188, 60, 0), ('conv2d', 32, 188, 188, 60, 9536), ('batchnorm2d', 32, 188, 188, 60, 64), ('ELU', 32, 188, 188, 60, 0), ('conv2d', 32, 188, 188, 60, 18752), ('batchnorm2d', 32, 188, 188, 60, 64), ('ELU', 32, 188, 188, 60, 0), ('co...
ELU
37,324,878
2,507,655
60
33,681
94.484375
0.935766
0.848053
0.438175
0.108875
25
25
0
1
1
SUCCESSFUL
7.8
34,446
9.57
34,463.37
input_channels:1_num_classes:943_depth:11_arch:hourglass_base_filters:39_batch:60_input_size:52_act:tanh_dropout:0.16187504747136608_dropout:True_batchnorm:False.out
11
[('conv2d', 39, 52, 52, 60, 390), ('Tanh', 39, 52, 52, 60, 0), ('dropout', 39, 52, 52, 60, 0), ('conv2d', 86, 52, 52, 60, 30272), ('Tanh', 86, 52, 52, 60, 0), ('dropout', 86, 52, 52, 60, 0), ('conv2d', 190, 52, 52, 60, 147250), ('Tanh', 190, 52, 52, 60, 0), ('dropout', 190, 52, 52, 60, 0), ('conv2d', 419, 52, 52, 60, 7...
Tanh
30,884,309
20,338,408
60
10,945
-1
-1
-1
-1
-1
11
0
11
1
1
SUCCESSFUL
0.6
18,850.2
77.58
18,928.38
input_channels:1_num_classes:357_depth:4_arch:dense_base_filters:24_batch:28_input_size:158_act:softplus_dropout:0.1453669042365176_dropout:False_batchnorm:True.out
4
[('conv2d', 32, 158, 158, 28, 320), ('batchnorm2d', 32, 158, 158, 28, 64), ('Softplus', 32, 158, 158, 28, 0), ('conv2d', 32, 158, 158, 28, 9536), ('batchnorm2d', 32, 158, 158, 28, 64), ('Softplus', 32, 158, 158, 28, 0), ('conv2d', 32, 158, 158, 28, 18752), ('batchnorm2d', 32, 158, 158, 28, 64), ('Softplus', 32, 158, 15...
Softplus
9,587,019
103,242
28
4,749
92.5625
0.862125
0.665404
0.343526
0.11
4
4
0
1
1
SUCCESSFUL
2.8
3,418.52
0.39
3,421.71
input_channels:1_num_classes:578_depth:23_arch:dense_base_filters:63_batch:50_input_size:168_act:gelu_dropout:0.15629546202658873_dropout:False_batchnorm:True.out
21
[('conv2d', 32, 168, 168, 50, 320), ('batchnorm2d', 32, 168, 168, 50, 64), ('GELU', 32, 168, 168, 50, 0), ('conv2d', 32, 168, 168, 50, 9536), ('batchnorm2d', 32, 168, 168, 50, 64), ('GELU', 32, 168, 168, 50, 0), ('conv2d', 32, 168, 168, 50, 18752), ('batchnorm2d', 32, 168, 168, 50, 64), ('GELU', 32, 168, 168, 50, 0), (...
GELU
27,096,772
1,801,154
50
18,149
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
5.5
19,649.5
6.87
19,661.87
input_channels:1_num_classes:319_depth:11_arch:bottleneck_base_filters:110_batch:16_input_size:194_act:relu_dropout:0.49992581512867873_dropout:True_batchnorm:True.out
11
[('conv2d', 220, 194, 194, 16, 2200), ('batchnorm2d', 220, 194, 194, 16, 440), ('ReLU', 220, 194, 194, 16, 0), ('dropout', 220, 194, 194, 16, 0), ('conv2d', 110, 194, 194, 16, 217910), ('batchnorm2d', 110, 194, 194, 16, 220), ('ReLU', 110, 194, 194, 16, 0), ('dropout', 110, 194, 194, 16, 0), ('conv2d', 147, 194, 194, 1...
ReLU
891,373,190
35,953,121
16
38,097
-1
-1
-1
-1
-1
11
11
11
1
1
OOM_CRASH
2.24
136,012.64
137.15
136,152.03
input_channels:1_num_classes:683_depth:6_arch:bottleneck_base_filters:28_batch:36_input_size:138_act:selu_dropout:0.34039320730842865_dropout:True_batchnorm:True.out
6
[('conv2d', 56, 138, 138, 36, 560), ('batchnorm2d', 56, 138, 138, 36, 112), ('SELU', 56, 138, 138, 36, 0), ('dropout', 56, 138, 138, 36, 0), ('conv2d', 28, 138, 138, 36, 14140), ('batchnorm2d', 28, 138, 138, 36, 56), ('SELU', 28, 138, 138, 36, 0), ('dropout', 28, 138, 138, 36, 0), ('conv2d', 66, 138, 138, 36, 16698), (...
SELU
117,237,097
4,096,445
36
23,283
92.553846
0.897182
0.908776
0.363069
0.043517
6
6
6
1
1
SUCCESSFUL
2.52
40,250.16
15.63
40,268.31
input_channels:1_num_classes:371_depth:8_arch:hourglass_base_filters:35_batch:52_input_size:206_act:leaky_relu_dropout:0.3530641633960979_dropout:False_batchnorm:True.out
8
[('conv2d', 35, 206, 206, 52, 350), ('batchnorm2d', 35, 206, 206, 52, 70), ('LeakyReLU', 35, 206, 206, 52, 0), ('conv2d', 96, 206, 206, 52, 30336), ('batchnorm2d', 96, 206, 206, 52, 192), ('LeakyReLU', 96, 206, 206, 52, 0), ('conv2d', 267, 206, 206, 52, 230955), ('batchnorm2d', 267, 206, 206, 52, 534), ('LeakyReLU', 26...
LeakyReLU
289,753,785
9,027,195
52
37,863
-1
-1
-1
-1
-1
8
8
0
1
1
OOM_CRASH
8.32
153,271.56
34.44
153,314.32
input_channels:3_num_classes:557_depth:2_arch:bottleneck_base_filters:91_batch:24_input_size:4_act:leaky_relu_dropout:0.4890345970546063_dropout:True_batchnorm:True.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:593_depth:24_arch:residual_base_filters:127_batch:4_input_size:54_act:mish_dropout:0.3135641557357947_dropout:True_batchnorm:False.out
18
[('conv2d', 127, 54, 54, 4, 508), ('conv2d', 127, 54, 54, 4, 3556), ('Mish', 127, 54, 54, 4, 0), ('dropout', 127, 54, 54, 4, 0), ('conv2d', 127, 54, 54, 4, 145288), ('Mish', 127, 54, 54, 4, 0), ('dropout', 127, 54, 54, 4, 0), ('conv2d', 142, 27, 27, 4, 18176), ('conv2d', 142, 27, 27, 4, 162448), ('Mish', 142, 27, 27, 4...
Mish
4,733,720
3,318,215
4
1,829
61.246154
0.613286
0.374714
0.112946
0.035236
18
0
12
1
1
SUCCESSFUL
0.12
227
12.66
239.78
input_channels:1_num_classes:155_depth:16_arch:bottleneck_base_filters:71_batch:24_input_size:216_act:mish_dropout:0.4683602205014117_dropout:False_batchnorm:True.out
16
[('conv2d', 142, 216, 216, 24, 1420), ('batchnorm2d', 142, 216, 216, 24, 284), ('Mish', 142, 216, 216, 24, 0), ('conv2d', 71, 216, 216, 24, 90809), ('batchnorm2d', 71, 216, 216, 24, 142), ('Mish', 71, 216, 216, 24, 0), ('conv2d', 88, 216, 216, 24, 56320), ('batchnorm2d', 88, 216, 216, 24, 176), ('Mish', 88, 216, 216, 2...
Mish
1,120,305,818
53,546,893
24
38,185
-1
-1
-1
-1
-1
16
16
0
1
1
OOM_CRASH
4.32
273,512.16
204.27
273,720.75
input_channels:1_num_classes:571_depth:29_arch:gradual_base_filters:28_batch:18_input_size:200_act:tanh_dropout:0.22253910055977755_dropout:True_batchnorm:True.out
29
[('conv2d', 28, 200, 200, 18, 280), ('batchnorm2d', 28, 200, 200, 18, 56), ('Tanh', 28, 200, 200, 18, 0), ('dropout', 28, 200, 200, 18, 0), ('conv2d', 30, 200, 200, 18, 7590), ('batchnorm2d', 30, 200, 200, 18, 60), ('Tanh', 30, 200, 200, 18, 0), ('dropout', 30, 200, 200, 18, 0), ('conv2d', 32, 200, 200, 18, 8672), ('ba...
Tanh
438,401,364
3,071,155
18
36,035
92.784615
0.943635
0.912091
0.4112
0.047019
29
29
29
1
1
SUCCESSFUL
2.7
75,256.56
11.72
75,270.98