Filename
string
Depth
int64
Activations-Params
string
Activation Function
string
Total Activations
int64
Total Parameters
int64
Batch Size
int64
Max GPU Memory (MiB)
int64
Avg GPUTL
float64
Avg GRACT
float64
Avg SMACT
float64
Avg SMOCC
float64
Avg FP32A
float64
Conv2d Count
int64
BatchNorm2d Count
int64
Dropout Count
int64
AdaptiveAvgPool2d Count
int64
Linear Count
int64
Status
string
Input Size (MB)
float64
Forward/Backward Pass Size (MB)
float64
Params Size (MB)
float64
Estimated Total Size (MB)
float64
input_channels:3_num_classes:453_depth:22_arch:uniform_base_filters:98_batch:62_input_size:174_act:gelu_dropout:0.3442169060458645_dropout:True_batchnorm:False.out
22
[('conv2d', 98, 174, 174, 62, 2744), ('GELU', 98, 174, 174, 62, 0), ('dropout', 98, 174, 174, 62, 0), ('conv2d', 98, 174, 174, 62, 86534), ('GELU', 98, 174, 174, 62, 0), ('dropout', 98, 174, 174, 62, 0), ('conv2d', 98, 174, 174, 62, 86534), ('GELU', 98, 174, 174, 62, 0), ('dropout', 98, 174, 174, 62, 0), ('conv2d', 98,...
GELU
195,826,172
1,864,805
62
39,517
-1
-1
-1
-1
-1
22
0
22
1
1
SUCCESSFUL
21.7
123,506.48
7.11
123,535.29
input_channels:1_num_classes:167_depth:11_arch:pyramid_base_filters:70_batch:46_input_size:118_act:selu_dropout:0.19151156817540396_dropout:True_batchnorm:True.out
11
[('conv2d', 70, 118, 118, 46, 700), ('batchnorm2d', 70, 118, 118, 46, 140), ('SELU', 70, 118, 118, 46, 0), ('dropout', 70, 118, 118, 46, 0), ('conv2d', 95, 118, 118, 46, 59945), ('batchnorm2d', 95, 118, 118, 46, 190), ('SELU', 95, 118, 118, 46, 0), ('dropout', 95, 118, 118, 46, 0), ('conv2d', 129, 118, 118, 46, 110424)...
SELU
306,385,536
32,924,348
46
36,831
-1
-1
-1
-1
-1
11
11
11
1
1
OOM_CRASH
2.3
134,408.32
125.6
134,536.22
input_channels:3_num_classes:99_depth:14_arch:uniform_base_filters:121_batch:34_input_size:90_act:elu_dropout:0.37457174282124006_dropout:False_batchnorm:False.out
14
[('conv2d', 121, 90, 90, 34, 3388), ('ELU', 121, 90, 90, 34, 0), ('conv2d', 121, 90, 90, 34, 131890), ('ELU', 121, 90, 90, 34, 0), ('conv2d', 121, 90, 90, 34, 131890), ('ELU', 121, 90, 90, 34, 0), ('conv2d', 121, 90, 90, 34, 131890), ('ELU', 121, 90, 90, 34, 0), ('conv2d', 121, 90, 90, 34, 131890), ('ELU', 121, 90, 90,...
ELU
27,443,119
1,730,036
34
6,293
90.222222
0.913875
0.84186
0.44707
0.023073
14
0
0
1
1
SUCCESSFUL
3.06
10,678.04
6.6
10,687.7
input_channels:3_num_classes:95_depth:16_arch:uniform_base_filters:73_batch:10_input_size:160_act:elu_dropout:0.25411316426075414_dropout:True_batchnorm:True.out
16
[('conv2d', 73, 160, 160, 10, 2044), ('batchnorm2d', 73, 160, 160, 10, 146), ('ELU', 73, 160, 160, 10, 0), ('dropout', 73, 160, 160, 10, 0), ('conv2d', 73, 160, 160, 10, 48034), ('batchnorm2d', 73, 160, 160, 10, 146), ('ELU', 73, 160, 160, 10, 0), ('dropout', 73, 160, 160, 10, 0), ('conv2d', 73, 160, 160, 10, 48034), (...
ELU
119,603,463
731,920
10
6,475
93.703125
0.932032
0.884245
0.391189
0.033538
16
16
16
1
1
SUCCESSFUL
2.9
11,406.3
2.79
11,411.99
input_channels:1_num_classes:149_depth:12_arch:gradual_base_filters:64_batch:18_input_size:44_act:relu_dropout:0.4310027159231188_dropout:False_batchnorm:True.out
12
[('conv2d', 64, 44, 44, 18, 640), ('batchnorm2d', 64, 44, 44, 18, 128), ('ReLU', 64, 44, 44, 18, 0), ('conv2d', 73, 44, 44, 18, 42121), ('batchnorm2d', 73, 44, 44, 18, 146), ('ReLU', 73, 44, 44, 18, 0), ('conv2d', 85, 44, 44, 18, 55930), ('batchnorm2d', 85, 44, 44, 18, 170), ('ReLU', 85, 44, 44, 18, 0), ('conv2d', 98, ...
ReLU
11,111,315
2,960,902
18
2,779
88.328125
0.864873
0.758109
0.295291
0.015018
12
12
0
1
1
SUCCESSFUL
0.18
2,034.54
11.29
2,046.01
input_channels:3_num_classes:255_depth:24_arch:pyramid_base_filters:126_batch:2_input_size:50_act:mish_dropout:0.4268541547234518_dropout:True_batchnorm:True.out
24
[('conv2d', 126, 50, 50, 2, 3528), ('batchnorm2d', 126, 50, 50, 2, 252), ('Mish', 126, 50, 50, 2, 0), ('dropout', 126, 50, 50, 2, 0), ('conv2d', 141, 50, 50, 2, 160035), ('batchnorm2d', 141, 50, 50, 2, 282), ('Mish', 141, 50, 50, 2, 0), ('dropout', 141, 50, 50, 2, 0), ('conv2d', 158, 50, 50, 2, 200660), ('batchnorm2d',...
Mish
155,882,333
128,242,341
2
5,075
92.703125
0.915953
0.881
0.280288
0.020702
24
24
24
1
1
SUCCESSFUL
0.06
2,973.22
489.21
3,462.49
input_channels:1_num_classes:981_depth:29_arch:hourglass_base_filters:110_batch:10_input_size:102_act:softplus_dropout:0.170648409186261_dropout:False_batchnorm:False.out
29
[('conv2d', 110, 102, 102, 10, 1100), ('Softplus', 110, 102, 102, 10, 0), ('conv2d', 135, 102, 102, 10, 133785), ('Softplus', 135, 102, 102, 10, 0), ('conv2d', 167, 102, 102, 10, 203072), ('Softplus', 167, 102, 102, 10, 0), ('conv2d', 205, 102, 102, 10, 308320), ('Softplus', 205, 102, 102, 10, 0), ('conv2d', 253, 102, ...
Softplus
360,667,136
148,861,286
10
23,237
-1
-1
-1
-1
-1
29
0
0
1
1
SUCCESSFUL
0.4
41,275
567.86
41,843.26
input_channels:1_num_classes:169_depth:2_arch:uniform_base_filters:32_batch:52_input_size:134_act:mish_dropout:0.4252372788964438_dropout:False_batchnorm:True.out
2
[('conv2d', 32, 134, 134, 52, 320), ('batchnorm2d', 32, 134, 134, 52, 64), ('Mish', 32, 134, 134, 52, 0), ('conv2d', 32, 134, 134, 52, 9248), ('batchnorm2d', 32, 134, 134, 52, 64), ('Mish', 32, 134, 134, 52, 0), ('adaptive_avg_pool2d', 0, 0, 32, 52, 0), ('linear', 0, 0, 169, 52, 5577), ('softmax', 0, 0, 169, 52, 0)]
Mish
3,447,922
15,273
52
2,789
-1
-1
-1
-1
-1
2
2
0
1
1
SUCCESSFUL
3.64
1,823.64
0.06
1,827.34
input_channels:3_num_classes:685_depth:27_arch:residual_base_filters:18_batch:44_input_size:122_act:tanh_dropout:0.27334897812173853_dropout:False_batchnorm:True.out
24
[('conv2d', 18, 122, 122, 44, 72), ('batchnorm2d', 18, 122, 122, 44, 36), ('conv2d', 18, 122, 122, 44, 504), ('batchnorm2d', 18, 122, 122, 44, 36), ('Tanh', 18, 122, 122, 44, 0), ('conv2d', 18, 122, 122, 44, 2934), ('batchnorm2d', 18, 122, 122, 44, 36), ('Tanh', 18, 122, 122, 44, 0), ('conv2d', 21, 61, 61, 44, 399), ('...
Tanh
4,245,207
247,238
44
2,629
-1
-1
-1
-1
-1
24
24
0
1
1
SUCCESSFUL
7.48
1,959.32
0.94
1,967.74
input_channels:1_num_classes:895_depth:17_arch:bottleneck_base_filters:64_batch:56_input_size:16_act:gelu_dropout:0.24397616313556642_dropout:False_batchnorm:True.out
17
[('conv2d', 128, 16, 16, 56, 1280), ('batchnorm2d', 128, 16, 16, 56, 256), ('GELU', 128, 16, 16, 56, 0), ('conv2d', 64, 16, 16, 56, 73792), ('batchnorm2d', 64, 16, 16, 56, 128), ('GELU', 64, 16, 16, 56, 0), ('conv2d', 79, 16, 16, 56, 45583), ('batchnorm2d', 79, 16, 16, 56, 158), ('GELU', 79, 16, 16, 56, 0), ('conv2d', ...
GELU
6,397,039
57,496,575
56
4,659
89.983871
0.857462
0.872545
0.265182
0.018315
17
17
0
1
1
SUCCESSFUL
0
3,643.92
219.33
3,863.25
input_channels:1_num_classes:387_depth:15_arch:residual_base_filters:68_batch:2_input_size:78_act:gelu_dropout:0.15243320688471612_dropout:False_batchnorm:True.out
21
[('conv2d', 68, 78, 78, 2, 136), ('batchnorm2d', 68, 78, 78, 2, 136), ('conv2d', 68, 78, 78, 2, 680), ('batchnorm2d', 68, 78, 78, 2, 136), ('GELU', 68, 78, 78, 2, 0), ('conv2d', 68, 78, 78, 2, 41684), ('batchnorm2d', 68, 78, 78, 2, 136), ('GELU', 68, 78, 78, 2, 0), ('conv2d', 85, 39, 39, 2, 5865), ('batchnorm2d', 85, 3...
GELU
6,994,191
3,201,860
2
1,857
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
0.04
146.74
12.21
158.99
input_channels:1_num_classes:798_depth:13_arch:gradual_base_filters:113_batch:60_input_size:20_act:relu_dropout:0.24301664048682203_dropout:False_batchnorm:False.out
13
[('conv2d', 113, 20, 20, 60, 1130), ('ReLU', 113, 20, 20, 60, 0), ('conv2d', 126, 20, 20, 60, 128268), ('ReLU', 126, 20, 20, 60, 0), ('conv2d', 141, 20, 20, 60, 160035), ('ReLU', 141, 20, 20, 60, 0), ('conv2d', 157, 20, 20, 60, 199390), ('ReLU', 157, 20, 20, 60, 0), ('conv2d', 176, 20, 20, 60, 248864), ('ReLU', 176, 20...
ReLU
2,495,626
7,272,879
60
2,553
78.885246
0.767095
0.694364
0.237618
0.006736
13
0
0
1
1
SUCCESSFUL
0
1,713
27.74
1,740.74
input_channels:1_num_classes:935_depth:13_arch:pyramid_base_filters:50_batch:32_input_size:158_act:prelu_dropout:0.25992523361899594_dropout:True_batchnorm:True.out
13
[('conv2d', 50, 158, 158, 32, 500), ('batchnorm2d', 50, 158, 158, 32, 100), ('PReLU', 50, 158, 158, 32, 0), ('dropout', 50, 158, 158, 32, 0), ('conv2d', 66, 158, 158, 32, 29766), ('batchnorm2d', 66, 158, 158, 32, 132), ('PReLU', 66, 158, 158, 32, 0), ('dropout', 66, 158, 158, 32, 0), ('conv2d', 88, 158, 158, 32, 52360)...
PReLU
603,033,793
38,204,027
32
38,665
32
0.0964
0
0
0.003
13
13
13
1
1
OOM_CRASH
3.2
184,031.04
145.74
184,179.98
input_channels:1_num_classes:939_depth:26_arch:gradual_base_filters:34_batch:58_input_size:32_act:leaky_relu_dropout:0.19926506805091357_dropout:True_batchnorm:False.out
26
[('conv2d', 34, 32, 32, 58, 340), ('LeakyReLU', 34, 32, 32, 58, 0), ('dropout', 34, 32, 32, 58, 0), ('conv2d', 36, 32, 32, 58, 11052), ('LeakyReLU', 36, 32, 32, 58, 0), ('dropout', 36, 32, 32, 58, 0), ('conv2d', 39, 32, 32, 58, 12675), ('LeakyReLU', 39, 32, 32, 58, 0), ('dropout', 39, 32, 32, 58, 0), ('conv2d', 43, 32,...
LeakyReLU
8,566,857
3,529,207
58
4,109
86.253968
0.852492
0.765396
0.315434
0.039926
26
0
26
1
1
SUCCESSFUL
0
5,054.12
13.46
5,067.58
input_channels:1_num_classes:300_depth:27_arch:hourglass_base_filters:122_batch:28_input_size:188_act:leaky_relu_dropout:0.35097002901905217_dropout:True_batchnorm:True.out
27
[('conv2d', 122, 188, 188, 28, 1220), ('batchnorm2d', 122, 188, 188, 28, 244), ('LeakyReLU', 122, 188, 188, 28, 0), ('dropout', 122, 188, 188, 28, 0), ('conv2d', 151, 188, 188, 28, 165949), ('batchnorm2d', 151, 188, 188, 28, 302), ('LeakyReLU', 151, 188, 188, 28, 0), ('dropout', 151, 188, 188, 28, 0), ('conv2d', 188, 1...
LeakyReLU
2,342,035,538
142,278,957
28
37,835
-1
-1
-1
-1
-1
27
27
27
1
1
OOM_CRASH
3.64
625,390.92
542.75
625,937.31
input_channels:3_num_classes:923_depth:5_arch:dense_base_filters:51_batch:52_input_size:80_act:swish_dropout:0.12169761684777597_dropout:True_batchnorm:False.out
4
[('conv2d', 32, 80, 80, 52, 896), ('SiLU', 32, 80, 80, 52, 0), ('dropout', 32, 80, 80, 52, 0), ('conv2d', 32, 80, 80, 52, 10112), ('SiLU', 32, 80, 80, 52, 0), ('dropout', 32, 80, 80, 52, 0), ('conv2d', 32, 80, 80, 52, 19328), ('SiLU', 32, 80, 80, 52, 0), ('dropout', 32, 80, 80, 52, 0), ('conv2d', 32, 80, 80, 52, 28544)...
SiLU
2,459,577
180,716
52
3,053
89.015625
0.685048
0.651792
0.366302
0.099407
4
0
4
1
1
SUCCESSFUL
3.64
1,633.32
0.69
1,637.65
input_channels:1_num_classes:814_depth:6_arch:bottleneck_base_filters:105_batch:56_input_size:184_act:gelu_dropout:0.4043234507861373_dropout:True_batchnorm:True.out
6
[('conv2d', 210, 184, 184, 56, 2100), ('batchnorm2d', 210, 184, 184, 56, 420), ('GELU', 210, 184, 184, 56, 0), ('dropout', 210, 184, 184, 56, 0), ('conv2d', 105, 184, 184, 56, 198555), ('batchnorm2d', 105, 184, 184, 56, 210), ('GELU', 105, 184, 184, 56, 0), ('dropout', 105, 184, 184, 56, 0), ('conv2d', 190, 184, 184, 5...
GELU
352,511,430
10,174,557
56
38,047
21.8
0.0626
0.001
0
0.004333
6
6
6
1
1
OOM_CRASH
7.28
188,261.36
38.81
188,307.45
input_channels:3_num_classes:810_depth:4_arch:uniform_base_filters:59_batch:30_input_size:2_act:prelu_dropout:0.4178472899065261_dropout:False_batchnorm:False.out
0
[]
null
0
0
30
0
48.5
0.298
0.618
0.123
0.017
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:76_depth:10_arch:residual_base_filters:93_batch:2_input_size:2_act:mish_dropout:0.3625645145273898_dropout:False_batchnorm:True.out
0
[]
null
0
0
2
0
6
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:956_depth:22_arch:uniform_base_filters:72_batch:30_input_size:150_act:prelu_dropout:0.16294183649715593_dropout:False_batchnorm:True.out
22
[('conv2d', 72, 150, 150, 30, 720), ('batchnorm2d', 72, 150, 150, 30, 144), ('PReLU', 72, 150, 150, 30, 0), ('conv2d', 72, 150, 150, 30, 46728), ('batchnorm2d', 72, 150, 150, 30, 144), ('PReLU', 72, 150, 150, 30, 0), ('conv2d', 72, 150, 150, 30, 46728), ('batchnorm2d', 72, 150, 150, 30, 144), ('PReLU', 72, 150, 150, 30...
PReLU
106,921,984
1,054,964
30
16,061
-1
-1
-1
-1
-1
22
22
0
1
1
SUCCESSFUL
2.7
32,629.8
4.02
32,636.52
input_channels:3_num_classes:435_depth:16_arch:residual_base_filters:120_batch:16_input_size:200_act:selu_dropout:0.2594242638726377_dropout:False_batchnorm:True.out
24
[('conv2d', 120, 200, 200, 16, 480), ('batchnorm2d', 120, 200, 200, 16, 240), ('conv2d', 120, 200, 200, 16, 3360), ('batchnorm2d', 120, 200, 200, 16, 240), ('SELU', 120, 200, 200, 16, 0), ('conv2d', 120, 200, 200, 16, 129720), ('batchnorm2d', 120, 200, 200, 16, 240), ('SELU', 120, 200, 200, 16, 0), ('conv2d', 143, 100,...
SELU
76,212,365
9,498,236
16
8,843
-1
-1
-1
-1
-1
24
24
0
1
1
SUCCESSFUL
7.36
12,792
36.23
12,835.59
input_channels:1_num_classes:157_depth:4_arch:pyramid_base_filters:61_batch:32_input_size:102_act:tanh_dropout:0.22763112287659637_dropout:False_batchnorm:False.out
4
[('conv2d', 61, 102, 102, 32, 610), ('Tanh', 61, 102, 102, 32, 0), ('conv2d', 146, 102, 102, 32, 80300), ('Tanh', 146, 102, 102, 32, 0), ('conv2d', 353, 102, 102, 32, 464195), ('Tanh', 353, 102, 102, 32, 0), ('conv2d', 850, 102, 102, 32, 2701300), ('Tanh', 850, 102, 102, 32, 0), ('adaptive_avg_pool2d', 0, 0, 850, 32, 0...
Tanh
29,340,444
3,380,012
32
8,899
-1
-1
-1
-1
-1
4
0
0
1
1
SUCCESSFUL
1.28
10,744.64
12.89
10,758.81
input_channels:3_num_classes:730_depth:28_arch:dense_base_filters:25_batch:2_input_size:170_act:leaky_relu_dropout:0.2718365616716558_dropout:False_batchnorm:False.out
29
[('conv2d', 32, 170, 170, 2, 896), ('LeakyReLU', 32, 170, 170, 2, 0), ('conv2d', 32, 170, 170, 2, 10112), ('LeakyReLU', 32, 170, 170, 2, 0), ('conv2d', 32, 170, 170, 2, 19328), ('LeakyReLU', 32, 170, 170, 2, 0), ('conv2d', 32, 170, 170, 2, 28544), ('LeakyReLU', 32, 170, 170, 2, 0), ('conv2d', 65, 170, 170, 2, 8580), ('...
LeakyReLU
22,255,293
3,669,944
2
2,857
-1
-1
-1
-1
-1
29
0
0
1
1
SUCCESSFUL
0.66
920.8
14
935.46
input_channels:1_num_classes:816_depth:21_arch:residual_base_filters:60_batch:22_input_size:158_act:selu_dropout:0.4546621145227434_dropout:True_batchnorm:True.out
30
[('conv2d', 60, 158, 158, 22, 120), ('batchnorm2d', 60, 158, 158, 22, 120), ('conv2d', 60, 158, 158, 22, 600), ('batchnorm2d', 60, 158, 158, 22, 120), ('SELU', 60, 158, 158, 22, 0), ('dropout', 60, 158, 158, 22, 0), ('conv2d', 60, 158, 158, 22, 32460), ('batchnorm2d', 60, 158, 158, 22, 120), ('SELU', 60, 158, 158, 22, ...
SELU
29,689,034
4,561,414
22
4,673
92.203125
0.887828
0.740571
0.354911
0.053309
30
30
20
1
1
SUCCESSFUL
2.2
6,478.12
17.4
6,497.72
input_channels:1_num_classes:431_depth:21_arch:uniform_base_filters:65_batch:18_input_size:76_act:softplus_dropout:0.3133880221557329_dropout:True_batchnorm:True.out
21
[('conv2d', 65, 76, 76, 18, 650), ('batchnorm2d', 65, 76, 76, 18, 130), ('Softplus', 65, 76, 76, 18, 0), ('dropout', 65, 76, 76, 18, 0), ('conv2d', 65, 76, 76, 18, 38090), ('batchnorm2d', 65, 76, 76, 18, 130), ('Softplus', 65, 76, 76, 18, 0), ('dropout', 65, 76, 76, 18, 0), ('conv2d', 65, 76, 76, 18, 38090), ('batchnor...
Softplus
31,537,887
793,626
18
3,825
91.952381
0.909667
0.799
0.32387
0.032
21
21
21
1
1
SUCCESSFUL
0.36
5,413.86
3.03
5,417.25
input_channels:1_num_classes:100_depth:22_arch:residual_base_filters:81_batch:58_input_size:222_act:softplus_dropout:0.3868177844563978_dropout:False_batchnorm:True.out
30
[('conv2d', 81, 222, 222, 58, 162), ('batchnorm2d', 81, 222, 222, 58, 162), ('conv2d', 81, 222, 222, 58, 810), ('batchnorm2d', 81, 222, 222, 58, 162), ('Softplus', 81, 222, 222, 58, 0), ('conv2d', 81, 222, 222, 58, 59130), ('batchnorm2d', 81, 222, 222, 58, 162), ('Softplus', 81, 222, 222, 58, 0), ('conv2d', 93, 111, 11...
Softplus
61,683,159
6,008,182
58
22,297
-1
-1
-1
-1
-1
30
30
0
1
1
SUCCESSFUL
11.02
37,530.64
22.92
37,564.58
input_channels:3_num_classes:85_depth:26_arch:hourglass_base_filters:76_batch:14_input_size:110_act:selu_dropout:0.2079112881861306_dropout:True_batchnorm:True.out
26
[('conv2d', 76, 110, 110, 14, 2128), ('batchnorm2d', 76, 110, 110, 14, 152), ('SELU', 76, 110, 110, 14, 0), ('dropout', 76, 110, 110, 14, 0), ('conv2d', 97, 110, 110, 14, 66445), ('batchnorm2d', 97, 110, 110, 14, 194), ('SELU', 97, 110, 110, 14, 0), ('dropout', 97, 110, 110, 14, 0), ('conv2d', 126, 110, 110, 14, 110124...
SELU
661,241,046
111,230,300
14
34,345
95.53125
0.930609
0.967054
0.227464
0.013055
26
26
26
1
1
SUCCESSFUL
1.96
88,285.26
424.31
88,711.53
input_channels:1_num_classes:387_depth:6_arch:dense_base_filters:100_batch:6_input_size:142_act:tanh_dropout:0.37042170333640667_dropout:True_batchnorm:True.out
4
[('conv2d', 32, 142, 142, 6, 320), ('batchnorm2d', 32, 142, 142, 6, 64), ('Tanh', 32, 142, 142, 6, 0), ('dropout', 32, 142, 142, 6, 0), ('conv2d', 32, 142, 142, 6, 9536), ('batchnorm2d', 32, 142, 142, 6, 64), ('Tanh', 32, 142, 142, 6, 0), ('dropout', 32, 142, 142, 6, 0), ('conv2d', 32, 142, 142, 6, 18752), ('batchnorm2...
Tanh
10,324,871
107,142
6
2,287
83.968254
0.800625
0.547309
0.256855
0.083158
4
4
4
1
1
SUCCESSFUL
0.48
709.86
0.41
710.75
input_channels:1_num_classes:782_depth:7_arch:hourglass_base_filters:55_batch:60_input_size:28_act:swish_dropout:0.4864820138912168_dropout:False_batchnorm:True.out
7
[('conv2d', 55, 28, 28, 60, 550), ('batchnorm2d', 55, 28, 28, 60, 110), ('SiLU', 55, 28, 28, 60, 0), ('conv2d', 183, 28, 28, 60, 90768), ('batchnorm2d', 183, 28, 28, 60, 366), ('SiLU', 183, 28, 28, 60, 0), ('conv2d', 613, 28, 28, 60, 1010224), ('batchnorm2d', 613, 28, 28, 60, 1226), ('SiLU', 613, 28, 28, 60, 0), ('conv...
SiLU
5,187,779
8,697,976
60
4,009
-1
-1
-1
-1
-1
7
7
0
1
1
SUCCESSFUL
0
3,166.2
33.18
3,199.38
input_channels:3_num_classes:633_depth:7_arch:uniform_base_filters:50_batch:34_input_size:182_act:leaky_relu_dropout:0.4001604314152226_dropout:True_batchnorm:True.out
7
[('conv2d', 50, 182, 182, 34, 1400), ('batchnorm2d', 50, 182, 182, 34, 100), ('LeakyReLU', 50, 182, 182, 34, 0), ('dropout', 50, 182, 182, 34, 0), ('conv2d', 50, 182, 182, 34, 22550), ('batchnorm2d', 50, 182, 182, 34, 100), ('LeakyReLU', 50, 182, 182, 34, 0), ('dropout', 50, 182, 182, 34, 0), ('conv2d', 50, 182, 182, 3...
LeakyReLU
46,374,916
169,683
34
8,179
-1
-1
-1
-1
-1
7
7
7
1
1
SUCCESSFUL
12.92
15,036.84
0.65
15,050.41
input_channels:3_num_classes:707_depth:3_arch:uniform_base_filters:43_batch:24_input_size:76_act:selu_dropout:0.1304754404253033_dropout:False_batchnorm:False.out
3
[('conv2d', 43, 76, 76, 24, 1204), ('SELU', 43, 76, 76, 24, 0), ('conv2d', 43, 76, 76, 24, 16684), ('SELU', 43, 76, 76, 24, 0), ('conv2d', 43, 76, 76, 24, 16684), ('SELU', 43, 76, 76, 24, 0), ('adaptive_avg_pool2d', 0, 0, 43, 24, 0), ('linear', 0, 0, 707, 24, 31108), ('softmax', 0, 0, 707, 24, 0)]
SELU
1,491,665
65,680
24
1,969
-1
-1
-1
-1
-1
3
0
0
1
1
SUCCESSFUL
1.68
409.68
0.25
411.61
input_channels:1_num_classes:295_depth:4_arch:gradual_base_filters:64_batch:48_input_size:88_act:softplus_dropout:0.3028756298236742_dropout:False_batchnorm:True.out
4
[('conv2d', 64, 88, 88, 48, 640), ('batchnorm2d', 64, 88, 88, 48, 128), ('Softplus', 64, 88, 88, 48, 0), ('conv2d', 98, 88, 88, 48, 56546), ('batchnorm2d', 98, 88, 88, 48, 196), ('Softplus', 98, 88, 88, 48, 0), ('conv2d', 152, 88, 88, 48, 134216), ('batchnorm2d', 152, 88, 88, 48, 304), ('Softplus', 152, 88, 88, 48, 0),...
Softplus
12,731,960
582,169
48
5,553
86.75
0.844766
0.836145
0.371691
0.046709
4
4
0
1
1
SUCCESSFUL
1.44
6,216.48
2.22
6,220.14
input_channels:1_num_classes:739_depth:7_arch:uniform_base_filters:36_batch:14_input_size:18_act:softplus_dropout:0.3255848303782941_dropout:False_batchnorm:True.out
7
[('conv2d', 36, 18, 18, 14, 360), ('batchnorm2d', 36, 18, 18, 14, 72), ('Softplus', 36, 18, 18, 14, 0), ('conv2d', 36, 18, 18, 14, 11700), ('batchnorm2d', 36, 18, 18, 14, 72), ('Softplus', 36, 18, 18, 14, 0), ('conv2d', 36, 18, 18, 14, 11700), ('batchnorm2d', 36, 18, 18, 14, 72), ('Softplus', 36, 18, 18, 14, 0), ('conv...
Softplus
246,458
98,407
14
1,755
32.129032
0.308333
0.087218
0.012764
0.003509
7
7
0
1
1
SUCCESSFUL
0
35
0.38
35.38
input_channels:1_num_classes:380_depth:3_arch:pyramid_base_filters:48_batch:44_input_size:86_act:gelu_dropout:0.4726838666864841_dropout:False_batchnorm:False.out
3
[('conv2d', 48, 86, 86, 44, 480), ('GELU', 48, 86, 86, 44, 0), ('conv2d', 167, 86, 86, 44, 72311), ('GELU', 167, 86, 86, 44, 0), ('conv2d', 586, 86, 86, 44, 881344), ('GELU', 586, 86, 86, 44, 0), ('adaptive_avg_pool2d', 0, 0, 586, 44, 0), ('linear', 0, 0, 380, 44, 223060), ('softmax', 0, 0, 380, 44, 0)]
GELU
11,849,738
1,177,195
44
5,741
88.246154
0.874469
0.908491
0.387164
0.038655
3
0
0
1
1
SUCCESSFUL
1.32
5,966.4
4.49
5,972.21
input_channels:3_num_classes:104_depth:9_arch:pyramid_base_filters:40_batch:12_input_size:108_act:swish_dropout:0.4487676269184536_dropout:True_batchnorm:False.out
9
[('conv2d', 40, 108, 108, 12, 1120), ('SiLU', 40, 108, 108, 12, 0), ('dropout', 40, 108, 108, 12, 0), ('conv2d', 61, 108, 108, 12, 22021), ('SiLU', 61, 108, 108, 12, 0), ('dropout', 61, 108, 108, 12, 0), ('conv2d', 95, 108, 108, 12, 52250), ('SiLU', 95, 108, 108, 12, 0), ('dropout', 95, 108, 108, 12, 0), ('conv2d', 148...
SiLU
127,967,274
17,547,546
12
8,687
-1
-1
-1
-1
-1
9
0
9
1
1
SUCCESSFUL
1.56
15,621
66.94
15,689.5
input_channels:1_num_classes:354_depth:6_arch:gradual_base_filters:122_batch:6_input_size:60_act:elu_dropout:0.16215820802589556_dropout:False_batchnorm:False.out
6
[('conv2d', 122, 60, 60, 6, 1220), ('ELU', 122, 60, 60, 6, 0), ('conv2d', 154, 60, 60, 6, 169246), ('ELU', 154, 60, 60, 6, 0), ('conv2d', 195, 60, 60, 6, 270465), ('ELU', 195, 60, 60, 6, 0), ('conv2d', 246, 60, 60, 6, 431976), ('ELU', 246, 60, 60, 6, 0), ('conv2d', 312, 60, 60, 6, 691080), ('ELU', 312, 60, 60, 6, 0), (...
ELU
10,253,903
2,813,726
6
2,151
86.84127
0.866762
0.758263
0.261614
0.015103
6
0
0
1
1
SUCCESSFUL
0.06
704.04
10.73
714.83
input_channels:3_num_classes:829_depth:15_arch:uniform_base_filters:122_batch:58_input_size:86_act:gelu_dropout:0.48577245512621836_dropout:True_batchnorm:True.out
15
[('conv2d', 122, 86, 86, 58, 3416), ('batchnorm2d', 122, 86, 86, 58, 244), ('GELU', 122, 86, 86, 58, 0), ('dropout', 122, 86, 86, 58, 0), ('conv2d', 122, 86, 86, 58, 134078), ('batchnorm2d', 122, 86, 86, 58, 244), ('GELU', 122, 86, 86, 58, 0), ('dropout', 122, 86, 86, 58, 0), ('conv2d', 122, 86, 86, 58, 134078), ('batc...
GELU
54,140,500
1,986,135
58
13,057
-1
-1
-1
-1
-1
15
15
15
1
1
SUCCESSFUL
4.64
29,946.56
7.58
29,958.78
input_channels:1_num_classes:479_depth:18_arch:residual_base_filters:89_batch:50_input_size:202_act:gelu_dropout:0.10865719578382925_dropout:True_batchnorm:False.out
27
[('conv2d', 89, 202, 202, 50, 178), ('conv2d', 89, 202, 202, 50, 890), ('GELU', 89, 202, 202, 50, 0), ('dropout', 89, 202, 202, 50, 0), ('conv2d', 89, 202, 202, 50, 71378), ('GELU', 89, 202, 202, 50, 0), ('dropout', 89, 202, 202, 50, 0), ('conv2d', 105, 101, 101, 50, 9450), ('conv2d', 105, 101, 101, 50, 84210), ('GELU'...
GELU
50,869,098
7,363,263
50
14,951
-1
-1
-1
-1
-1
27
0
18
1
1
SUCCESSFUL
8
30,493.5
28.09
30,529.59
input_channels:3_num_classes:959_depth:9_arch:bottleneck_base_filters:77_batch:18_input_size:128_act:relu_dropout:0.4963248953174547_dropout:False_batchnorm:True.out
9
[('conv2d', 154, 128, 128, 18, 4312), ('batchnorm2d', 154, 128, 128, 18, 308), ('ReLU', 154, 128, 128, 18, 0), ('conv2d', 77, 128, 128, 18, 106799), ('batchnorm2d', 77, 128, 128, 18, 154), ('ReLU', 77, 128, 128, 18, 0), ('conv2d', 116, 128, 128, 18, 80504), ('batchnorm2d', 116, 128, 128, 18, 232), ('ReLU', 116, 128, 12...
ReLU
198,528,205
21,046,805
18
17,879
-1
-1
-1
-1
-1
9
9
0
1
1
SUCCESSFUL
3.42
36,351.54
80.29
36,435.25
input_channels:3_num_classes:741_depth:27_arch:hourglass_base_filters:74_batch:50_input_size:166_act:leaky_relu_dropout:0.19747492441512948_dropout:True_batchnorm:False.out
27
[('conv2d', 74, 166, 166, 50, 2072), ('LeakyReLU', 74, 166, 166, 50, 0), ('dropout', 74, 166, 166, 50, 0), ('conv2d', 95, 166, 166, 50, 63365), ('LeakyReLU', 95, 166, 166, 50, 0), ('dropout', 95, 166, 166, 50, 0), ('conv2d', 123, 166, 166, 50, 105288), ('LeakyReLU', 123, 166, 166, 50, 0), ('dropout', 123, 166, 166, 50,...
LeakyReLU
1,169,505,752
115,743,545
50
37,577
21.6
0.124714
0.509
0.153
0.0055
27
0
27
1
1
OOM_CRASH
16
594,841
441.53
595,298.53
input_channels:3_num_classes:975_depth:22_arch:residual_base_filters:93_batch:32_input_size:182_act:softplus_dropout:0.28879752477960674_dropout:False_batchnorm:True.out
30
[('conv2d', 93, 182, 182, 32, 372), ('batchnorm2d', 93, 182, 182, 32, 186), ('conv2d', 93, 182, 182, 32, 2604), ('batchnorm2d', 93, 182, 182, 32, 186), ('Softplus', 93, 182, 182, 32, 0), ('conv2d', 93, 182, 182, 32, 77934), ('batchnorm2d', 93, 182, 182, 32, 186), ('Softplus', 93, 182, 182, 32, 0), ('conv2d', 107, 91, 9...
Softplus
47,445,103
7,604,174
32
10,513
-1
-1
-1
-1
-1
30
30
0
1
1
SUCCESSFUL
12.16
15,926.72
29.01
15,967.89
input_channels:1_num_classes:844_depth:7_arch:uniform_base_filters:62_batch:8_input_size:52_act:elu_dropout:0.3205147600384122_dropout:True_batchnorm:True.out
7
[('conv2d', 62, 52, 52, 8, 620), ('batchnorm2d', 62, 52, 52, 8, 124), ('ELU', 62, 52, 52, 8, 0), ('dropout', 62, 52, 52, 8, 0), ('conv2d', 62, 52, 52, 8, 34658), ('batchnorm2d', 62, 52, 52, 8, 124), ('ELU', 62, 52, 52, 8, 0), ('dropout', 62, 52, 52, 8, 0), ('conv2d', 62, 52, 52, 8, 34658), ('batchnorm2d', 62, 52, 52, 8...
ELU
4,695,894
262,608
8
1,889
49.761905
0.485453
0.272167
0.113983
0.016567
7
7
7
1
1
SUCCESSFUL
0.08
358.24
1
359.32
input_channels:3_num_classes:791_depth:4_arch:dense_base_filters:111_batch:54_input_size:162_act:tanh_dropout:0.3646925180398911_dropout:True_batchnorm:True.out
4
[('conv2d', 32, 162, 162, 54, 896), ('batchnorm2d', 32, 162, 162, 54, 64), ('Tanh', 32, 162, 162, 54, 0), ('dropout', 32, 162, 162, 54, 0), ('conv2d', 32, 162, 162, 54, 10112), ('batchnorm2d', 32, 162, 162, 54, 64), ('Tanh', 32, 162, 162, 54, 0), ('dropout', 32, 162, 162, 54, 0), ('conv2d', 32, 162, 162, 54, 19328), ('...
Tanh
13,438,641
163,548
54
7,915
-1
-1
-1
-1
-1
4
4
4
1
1
SUCCESSFUL
16.2
8,337.06
0.62
8,353.88
input_channels:3_num_classes:858_depth:2_arch:gradual_base_filters:50_batch:46_input_size:46_act:swish_dropout:0.22234240526292215_dropout:False_batchnorm:False.out
2
[('conv2d', 50, 46, 46, 46, 1400), ('SiLU', 50, 46, 46, 46, 0), ('conv2d', 126, 46, 46, 46, 56826), ('SiLU', 126, 46, 46, 46, 0), ('adaptive_avg_pool2d', 0, 0, 126, 46, 0), ('linear', 0, 0, 858, 46, 108966), ('softmax', 0, 0, 858, 46, 0)]
SiLU
746,674
167,192
46
1,983
36.707692
0.359422
0.305364
0.168055
0.021018
2
0
0
1
1
SUCCESSFUL
0.92
392.84
0.64
394.4
input_channels:1_num_classes:219_depth:4_arch:residual_base_filters:74_batch:56_input_size:54_act:leaky_relu_dropout:0.12777064848040343_dropout:False_batchnorm:True.out
6
[('conv2d', 74, 54, 54, 56, 148), ('batchnorm2d', 74, 54, 54, 56, 148), ('conv2d', 74, 54, 54, 56, 740), ('batchnorm2d', 74, 54, 54, 56, 148), ('LeakyReLU', 74, 54, 54, 56, 0), ('conv2d', 74, 54, 54, 56, 49358), ('batchnorm2d', 74, 54, 54, 56, 148), ('LeakyReLU', 74, 54, 54, 56, 0), ('conv2d', 169, 27, 27, 56, 12675), ...
LeakyReLU
2,712,487
471,550
56
2,803
75.242424
0.661738
0.586678
0.270237
0.026017
6
6
0
1
1
SUCCESSFUL
0.56
1,593.2
1.8
1,595.56
input_channels:1_num_classes:296_depth:8_arch:hourglass_base_filters:90_batch:26_input_size:140_act:elu_dropout:0.2904709005233884_dropout:True_batchnorm:False.out
8
[('conv2d', 90, 140, 140, 26, 900), ('ELU', 90, 140, 140, 26, 0), ('dropout', 90, 140, 140, 26, 0), ('conv2d', 196, 140, 140, 26, 158956), ('ELU', 196, 140, 140, 26, 0), ('dropout', 196, 140, 140, 26, 0), ('conv2d', 429, 140, 140, 26, 757185), ('ELU', 429, 140, 140, 26, 0), ('dropout', 429, 140, 140, 26, 0), ('conv2d',...
ELU
194,275,882
16,999,317
26
22,767
92.676923
0.946453
0.970164
0.247527
0.007836
8
0
8
1
1
SUCCESSFUL
1.82
51,383.02
64.85
51,449.69
input_channels:3_num_classes:278_depth:19_arch:hourglass_base_filters:52_batch:44_input_size:18_act:relu_dropout:0.4056898047606978_dropout:True_batchnorm:True.out
19
[('conv2d', 52, 18, 18, 44, 1456), ('batchnorm2d', 52, 18, 18, 44, 104), ('ReLU', 52, 18, 18, 44, 0), ('dropout', 52, 18, 18, 44, 0), ('conv2d', 78, 18, 18, 44, 36582), ('batchnorm2d', 78, 18, 18, 44, 156), ('ReLU', 78, 18, 18, 44, 0), ('dropout', 78, 18, 18, 44, 0), ('conv2d', 117, 18, 18, 44, 82251), ('batchnorm2d', ...
ReLU
10,951,808
61,284,148
44
4,629
-1
-1
-1
-1
-1
19
19
19
1
1
SUCCESSFUL
0
4,595.36
233.78
4,829.14
input_channels:3_num_classes:128_depth:25_arch:gradual_base_filters:51_batch:60_input_size:108_act:leaky_relu_dropout:0.21947271102023425_dropout:False_batchnorm:False.out
25
[('conv2d', 51, 108, 108, 60, 1428), ('LeakyReLU', 51, 108, 108, 60, 0), ('conv2d', 54, 108, 108, 60, 24840), ('LeakyReLU', 54, 108, 108, 60, 0), ('conv2d', 59, 108, 108, 60, 28733), ('LeakyReLU', 59, 108, 108, 60, 0), ('conv2d', 63, 108, 108, 60, 33516), ('LeakyReLU', 63, 108, 108, 60, 0), ('conv2d', 68, 108, 108, 60,...
LeakyReLU
82,535,020
5,336,091
60
32,503
-1
-1
-1
-1
-1
25
0
0
1
1
SUCCESSFUL
7.8
56,672.4
20.36
56,700.56
input_channels:1_num_classes:501_depth:15_arch:pyramid_base_filters:16_batch:52_input_size:16_act:elu_dropout:0.21775297764015017_dropout:False_batchnorm:True.out
15
[('conv2d', 16, 16, 16, 52, 160), ('batchnorm2d', 16, 16, 16, 52, 32), ('ELU', 16, 16, 16, 52, 0), ('conv2d', 22, 16, 16, 52, 3190), ('batchnorm2d', 22, 16, 16, 52, 44), ('ELU', 22, 16, 16, 52, 0), ('conv2d', 30, 16, 16, 52, 5970), ('batchnorm2d', 30, 16, 16, 52, 60), ('ELU', 30, 16, 16, 52, 0), ('conv2d', 42, 16, 16, ...
ELU
4,084,404
30,756,225
52
3,623
-1
-1
-1
-1
-1
15
15
0
1
1
SUCCESSFUL
0
2,160.08
117.33
2,277.41
input_channels:1_num_classes:93_depth:11_arch:hourglass_base_filters:90_batch:44_input_size:68_act:mish_dropout:0.372485838650226_dropout:True_batchnorm:True.out
11
[('conv2d', 90, 68, 68, 44, 900), ('batchnorm2d', 90, 68, 68, 44, 180), ('Mish', 90, 68, 68, 44, 0), ('dropout', 90, 68, 68, 44, 0), ('conv2d', 168, 68, 68, 44, 136248), ('batchnorm2d', 168, 68, 68, 44, 336), ('Mish', 168, 68, 68, 44, 0), ('dropout', 168, 68, 68, 44, 0), ('conv2d', 314, 68, 68, 44, 475082), ('batchnorm...
Mish
94,644,308
32,209,056
44
22,021
-1
-1
-1
-1
-1
11
11
11
1
1
SUCCESSFUL
0.88
39,714.4
122.87
39,838.15
input_channels:3_num_classes:378_depth:16_arch:hourglass_base_filters:16_batch:52_input_size:88_act:tanh_dropout:0.3016367621726166_dropout:False_batchnorm:True.out
16
[('conv2d', 16, 88, 88, 52, 448), ('batchnorm2d', 16, 88, 88, 52, 32), ('Tanh', 16, 88, 88, 52, 0), ('conv2d', 29, 88, 88, 52, 4205), ('batchnorm2d', 29, 88, 88, 52, 58), ('Tanh', 29, 88, 88, 52, 0), ('conv2d', 53, 88, 88, 52, 13886), ('batchnorm2d', 53, 88, 88, 52, 106), ('Tanh', 53, 88, 88, 52, 0), ('conv2d', 98, 88,...
Tanh
113,001,220
28,593,714
52
29,639
-1
-1
-1
-1
-1
16
16
0
1
1
SUCCESSFUL
4.68
59,774.52
109.08
59,888.28
input_channels:3_num_classes:782_depth:8_arch:pyramid_base_filters:47_batch:48_input_size:168_act:elu_dropout:0.12781842986085043_dropout:False_batchnorm:False.out
8
[('conv2d', 47, 168, 168, 48, 1316), ('ELU', 47, 168, 168, 48, 0), ('conv2d', 75, 168, 168, 48, 31800), ('ELU', 75, 168, 168, 48, 0), ('conv2d', 120, 168, 168, 48, 81120), ('ELU', 120, 168, 168, 48, 0), ('conv2d', 193, 168, 168, 48, 208633), ('ELU', 193, 168, 168, 48, 0), ('conv2d', 310, 168, 168, 48, 538780), ('ELU', ...
ELU
187,184,409
15,975,148
48
35,789
31.833333
0.144
0
0
0.228
8
0
0
1
1
OOM_CRASH
15.36
102,822.72
60.94
102,899.02
input_channels:1_num_classes:673_depth:14_arch:residual_base_filters:55_batch:56_input_size:96_act:relu_dropout:0.1329243036031135_dropout:False_batchnorm:True.out
21
[('conv2d', 55, 96, 96, 56, 110), ('batchnorm2d', 55, 96, 96, 56, 110), ('conv2d', 55, 96, 96, 56, 550), ('batchnorm2d', 55, 96, 96, 56, 110), ('ReLU', 55, 96, 96, 56, 0), ('conv2d', 55, 96, 96, 56, 27280), ('batchnorm2d', 55, 96, 96, 56, 110), ('ReLU', 55, 96, 96, 56, 0), ('conv2d', 71, 48, 48, 56, 3976), ('batchnorm2...
ReLU
8,847,813
2,860,582
56
4,429
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
2.24
5,197.36
10.91
5,210.51
input_channels:3_num_classes:325_depth:2_arch:residual_base_filters:102_batch:52_input_size:66_act:relu_dropout:0.39141141159673887_dropout:False_batchnorm:True.out
3
[('conv2d', 102, 66, 66, 52, 408), ('batchnorm2d', 102, 66, 66, 52, 204), ('conv2d', 102, 66, 66, 52, 2856), ('batchnorm2d', 102, 66, 66, 52, 204), ('ReLU', 102, 66, 66, 52, 0), ('conv2d', 102, 66, 66, 52, 93738), ('batchnorm2d', 102, 66, 66, 52, 204), ('ReLU', 102, 66, 66, 52, 0), ('adaptive_avg_pool2d', 0, 0, 102, 52...
ReLU
3,555,248
131,089
52
2,763
64.634921
0.6488
0.649228
0.312579
0.035322
3
3
0
1
1
SUCCESSFUL
2.6
1,939.08
0.5
1,942.18
input_channels:3_num_classes:347_depth:17_arch:hourglass_base_filters:26_batch:24_input_size:138_act:relu_dropout:0.283622497424984_dropout:False_batchnorm:True.out
17
[('conv2d', 26, 138, 138, 24, 728), ('batchnorm2d', 26, 138, 138, 24, 52), ('ReLU', 26, 138, 138, 24, 0), ('conv2d', 44, 138, 138, 24, 10340), ('batchnorm2d', 44, 138, 138, 24, 88), ('ReLU', 44, 138, 138, 24, 0), ('conv2d', 77, 138, 138, 24, 30569), ('batchnorm2d', 77, 138, 138, 24, 154), ('ReLU', 77, 138, 138, 24, 0),...
ReLU
343,706,832
38,659,917
24
36,921
94.242424
0.938246
0.955673
0.221255
0.007055
17
17
0
1
1
SUCCESSFUL
5.28
83,912.64
147.48
84,065.4
input_channels:3_num_classes:342_depth:21_arch:uniform_base_filters:72_batch:54_input_size:44_act:tanh_dropout:0.3590667838150622_dropout:True_batchnorm:True.out
21
[('conv2d', 72, 44, 44, 54, 2016), ('batchnorm2d', 72, 44, 44, 54, 144), ('Tanh', 72, 44, 44, 54, 0), ('dropout', 72, 44, 44, 54, 0), ('conv2d', 72, 44, 44, 54, 46728), ('batchnorm2d', 72, 44, 44, 54, 144), ('Tanh', 72, 44, 44, 54, 0), ('dropout', 72, 44, 44, 54, 0), ('conv2d', 72, 44, 44, 54, 46728), ('batchnorm2d', 7...
Tanh
11,709,684
964,566
54
3,969
-1
-1
-1
-1
-1
21
21
21
1
1
SUCCESSFUL
1.08
6,030.18
3.68
6,034.94
input_channels:1_num_classes:154_depth:2_arch:dense_base_filters:86_batch:60_input_size:184_act:tanh_dropout:0.15712160010655096_dropout:False_batchnorm:True.out
0
[]
null
0
0
60
1,471
6.758065
0.017571
0.001327
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:966_depth:20_arch:bottleneck_base_filters:37_batch:50_input_size:206_act:prelu_dropout:0.30530435953353746_dropout:False_batchnorm:False.out
20
[('conv2d', 74, 206, 206, 50, 2072), ('PReLU', 74, 206, 206, 50, 0), ('conv2d', 37, 206, 206, 50, 24679), ('PReLU', 37, 206, 206, 50, 0), ('conv2d', 45, 206, 206, 50, 15030), ('PReLU', 45, 206, 206, 50, 0), ('conv2d', 56, 206, 206, 50, 22736), ('PReLU', 56, 206, 206, 50, 0), ('conv2d', 69, 206, 206, 50, 34845), ('PReLU...
PReLU
731,090,998
59,664,691
50
38,045
-1
-1
-1
-1
-1
20
0
0
1
1
OOM_CRASH
24.5
418,333
227.6
418,585.1
input_channels:1_num_classes:840_depth:6_arch:pyramid_base_filters:74_batch:22_input_size:36_act:selu_dropout:0.3929660404241916_dropout:False_batchnorm:False.out
6
[('conv2d', 74, 36, 36, 22, 740), ('SELU', 74, 36, 36, 22, 0), ('conv2d', 128, 36, 36, 22, 85376), ('SELU', 128, 36, 36, 22, 0), ('conv2d', 223, 36, 36, 22, 257119), ('SELU', 223, 36, 36, 22, 0), ('conv2d', 389, 36, 36, 22, 781112), ('SELU', 389, 36, 36, 22, 0), ('conv2d', 677, 36, 36, 22, 2370854), ('SELU', 677, 36, 3...
SELU
6,918,313
11,657,359
22
3,041
90.453125
0.890328
0.851509
0.254509
0.012
6
0
0
1
1
SUCCESSFUL
0
1,741.52
44.47
1,785.99
input_channels:1_num_classes:542_depth:11_arch:pyramid_base_filters:40_batch:26_input_size:82_act:swish_dropout:0.24009389316519958_dropout:True_batchnorm:False.out
11
[('conv2d', 40, 82, 82, 26, 400), ('SiLU', 40, 82, 82, 26, 0), ('dropout', 40, 82, 82, 26, 0), ('conv2d', 57, 82, 82, 26, 20577), ('SiLU', 57, 82, 82, 26, 0), ('dropout', 57, 82, 82, 26, 0), ('conv2d', 81, 82, 82, 26, 41634), ('SiLU', 81, 82, 82, 26, 0), ('dropout', 81, 82, 82, 26, 0), ('conv2d', 117, 82, 82, 26, 85410...
SiLU
94,084,723
25,983,265
26
12,841
93.96875
0.947222
0.970673
0.240782
0.011119
11
0
11
1
1
SUCCESSFUL
0.78
24,883.82
99.12
24,983.72
input_channels:1_num_classes:524_depth:25_arch:dense_base_filters:126_batch:60_input_size:122_act:gelu_dropout:0.24097420643746445_dropout:True_batchnorm:True.out
25
[('conv2d', 32, 122, 122, 60, 320), ('batchnorm2d', 32, 122, 122, 60, 64), ('GELU', 32, 122, 122, 60, 0), ('dropout', 32, 122, 122, 60, 0), ('conv2d', 32, 122, 122, 60, 9536), ('batchnorm2d', 32, 122, 122, 60, 64), ('GELU', 32, 122, 122, 60, 0), ('dropout', 32, 122, 122, 60, 0), ('conv2d', 32, 122, 122, 60, 18752), ('b...
GELU
20,005,848
2,556,300
60
16,055
-1
-1
-1
-1
-1
25
25
24
1
1
SUCCESSFUL
3.6
16,468.8
9.75
16,482.15
input_channels:3_num_classes:220_depth:10_arch:gradual_base_filters:86_batch:54_input_size:22_act:elu_dropout:0.37419768011604204_dropout:True_batchnorm:False.out
10
[('conv2d', 86, 22, 22, 54, 2408), ('ELU', 86, 22, 22, 54, 0), ('dropout', 86, 22, 22, 54, 0), ('conv2d', 100, 22, 22, 54, 77500), ('ELU', 100, 22, 22, 54, 0), ('dropout', 100, 22, 22, 54, 0), ('conv2d', 118, 22, 22, 54, 106318), ('ELU', 118, 22, 22, 54, 0), ('dropout', 118, 22, 22, 54, 0), ('conv2d', 138, 22, 22, 54, ...
ELU
2,814,774
3,483,674
54
2,463
-1
-1
-1
-1
-1
10
0
10
1
1
SUCCESSFUL
0.54
1,546.02
13.29
1,559.85
input_channels:3_num_classes:208_depth:26_arch:hourglass_base_filters:81_batch:62_input_size:160_act:swish_dropout:0.2875263141183326_dropout:True_batchnorm:False.out
26
[('conv2d', 81, 160, 160, 62, 2268), ('SiLU', 81, 160, 160, 62, 0), ('dropout', 81, 160, 160, 62, 0), ('conv2d', 103, 160, 160, 62, 75190), ('SiLU', 103, 160, 160, 62, 0), ('dropout', 103, 160, 160, 62, 0), ('conv2d', 133, 160, 160, 62, 123424), ('SiLU', 133, 160, 160, 62, 0), ('dropout', 133, 160, 160, 62, 0), ('conv2...
SiLU
1,070,131,697
114,109,662
62
39,875
-1
-1
-1
-1
-1
26
0
26
1
1
OOM_CRASH
17.98
674,928.28
435.29
675,381.55
input_channels:1_num_classes:190_depth:21_arch:bottleneck_base_filters:110_batch:18_input_size:198_act:leaky_relu_dropout:0.4956058781321332_dropout:False_batchnorm:True.out
21
[('conv2d', 220, 198, 198, 18, 2200), ('batchnorm2d', 220, 198, 198, 18, 440), ('LeakyReLU', 220, 198, 198, 18, 0), ('conv2d', 110, 198, 198, 18, 217910), ('batchnorm2d', 110, 198, 198, 18, 220), ('LeakyReLU', 110, 198, 198, 18, 0), ('conv2d', 127, 198, 198, 18, 125857), ('batchnorm2d', 127, 198, 198, 18, 254), ('Leaky...
LeakyReLU
1,472,504,389
96,120,522
18
38,837
29.25
0.1158
0
0
0
21
21
0
1
1
OOM_CRASH
2.7
269,623.44
366.67
269,992.81
input_channels:3_num_classes:440_depth:2_arch:gradual_base_filters:70_batch:2_input_size:198_act:leaky_relu_dropout:0.2828152190994582_dropout:False_batchnorm:False.out
2
[('conv2d', 70, 198, 198, 2, 1960), ('LeakyReLU', 70, 198, 198, 2, 0), ('conv2d', 162, 198, 198, 2, 102222), ('LeakyReLU', 162, 198, 198, 2, 0), ('adaptive_avg_pool2d', 0, 0, 162, 2, 0), ('linear', 0, 0, 440, 2, 71720), ('softmax', 0, 0, 440, 2, 0)]
LeakyReLU
18,191,698
175,902
2
2,075
80.492308
0.783746
0.683017
0.314153
0.027672
2
0
0
1
1
SUCCESSFUL
0.9
416.36
0.67
417.93
input_channels:1_num_classes:696_depth:21_arch:residual_base_filters:46_batch:60_input_size:176_act:softplus_dropout:0.44759412960394884_dropout:True_batchnorm:False.out
30
[('conv2d', 46, 176, 176, 60, 92), ('conv2d', 46, 176, 176, 60, 460), ('Softplus', 46, 176, 176, 60, 0), ('dropout', 46, 176, 176, 60, 0), ('conv2d', 46, 176, 176, 60, 19090), ('Softplus', 46, 176, 176, 60, 0), ('dropout', 46, 176, 176, 60, 0), ('conv2d', 55, 88, 88, 60, 2585), ('conv2d', 55, 88, 88, 60, 22825), ('Soft...
Softplus
20,085,368
3,187,994
60
7,393
-1
-1
-1
-1
-1
30
0
20
1
1
SUCCESSFUL
7.2
14,448
12.16
14,467.36
input_channels:1_num_classes:117_depth:6_arch:uniform_base_filters:90_batch:42_input_size:76_act:softplus_dropout:0.40557608456188843_dropout:False_batchnorm:False.out
6
[('conv2d', 90, 76, 76, 42, 900), ('Softplus', 90, 76, 76, 42, 0), ('conv2d', 90, 76, 76, 42, 72990), ('Softplus', 90, 76, 76, 42, 0), ('conv2d', 90, 76, 76, 42, 72990), ('Softplus', 90, 76, 76, 42, 0), ('conv2d', 90, 76, 76, 42, 72990), ('Softplus', 90, 76, 76, 42, 0), ('conv2d', 90, 76, 76, 42, 72990), ('Softplus', 9...
Softplus
6,238,404
376,497
42
3,209
-1
-1
-1
-1
-1
6
0
0
1
1
SUCCESSFUL
0.84
2,998.38
1.44
3,000.66
input_channels:3_num_classes:62_depth:27_arch:hourglass_base_filters:110_batch:30_input_size:152_act:gelu_dropout:0.19672866732903366_dropout:True_batchnorm:True.out
27
[('conv2d', 110, 152, 152, 30, 3080), ('batchnorm2d', 110, 152, 152, 30, 220), ('GELU', 110, 152, 152, 30, 0), ('dropout', 110, 152, 152, 30, 0), ('conv2d', 137, 152, 152, 30, 135767), ('batchnorm2d', 137, 152, 152, 30, 274), ('GELU', 137, 152, 152, 30, 0), ('dropout', 137, 152, 152, 30, 0), ('conv2d', 172, 152, 152, 3...
GELU
1,479,950,058
136,011,597
30
37,861
-1
-1
-1
-1
-1
27
27
27
1
1
OOM_CRASH
7.8
423,417
518.84
423,943.64
input_channels:1_num_classes:90_depth:26_arch:dense_base_filters:61_batch:38_input_size:20_act:prelu_dropout:0.1095213924752788_dropout:True_batchnorm:True.out
25
[('conv2d', 32, 20, 20, 38, 320), ('batchnorm2d', 32, 20, 20, 38, 64), ('PReLU', 32, 20, 20, 38, 0), ('dropout', 32, 20, 20, 38, 0), ('conv2d', 32, 20, 20, 38, 9536), ('batchnorm2d', 32, 20, 20, 38, 64), ('PReLU', 32, 20, 20, 38, 0), ('dropout', 32, 20, 20, 38, 0), ('conv2d', 32, 20, 20, 38, 18752), ('batchnorm2d', 32,...
PReLU
538,484
2,250,330
38
2,043
39.369231
0.396154
0.201357
0.067309
0.006286
25
25
24
1
1
SUCCESSFUL
0
280.44
8.58
289.02
input_channels:3_num_classes:919_depth:22_arch:pyramid_base_filters:28_batch:34_input_size:56_act:elu_dropout:0.4834553597708333_dropout:True_batchnorm:True.out
22
[('conv2d', 28, 56, 56, 34, 784), ('batchnorm2d', 28, 56, 56, 34, 56), ('ELU', 28, 56, 56, 34, 0), ('dropout', 28, 56, 56, 34, 0), ('conv2d', 34, 56, 56, 34, 8602), ('batchnorm2d', 34, 56, 56, 34, 68), ('ELU', 34, 56, 56, 34, 0), ('dropout', 34, 56, 56, 34, 0), ('conv2d', 41, 56, 56, 34, 12587), ('batchnorm2d', 41, 56,...
ELU
117,515,714
66,560,318
34
20,121
95.571429
0.925781
0.959948
0.231207
0.014692
22
22
22
1
1
SUCCESSFUL
1.36
38,104.14
253.91
38,359.41
input_channels:1_num_classes:421_depth:22_arch:gradual_base_filters:71_batch:12_input_size:28_act:elu_dropout:0.4972116800368136_dropout:False_batchnorm:False.out
22
[('conv2d', 71, 28, 28, 12, 710), ('ELU', 71, 28, 28, 12, 0), ('conv2d', 76, 28, 28, 12, 48640), ('ELU', 76, 28, 28, 12, 0), ('conv2d', 82, 28, 28, 12, 56170), ('ELU', 82, 28, 28, 12, 0), ('conv2d', 89, 28, 28, 12, 65771), ('ELU', 89, 28, 28, 12, 0), ('conv2d', 96, 28, 28, 12, 76992), ('ELU', 96, 28, 28, 12, 0), ('conv...
ELU
6,114,827
7,171,304
12
2,179
85.793651
0.854952
0.63781
0.195638
0.023667
22
0
0
1
1
SUCCESSFUL
0
839.64
27.36
867
input_channels:3_num_classes:791_depth:10_arch:hourglass_base_filters:66_batch:44_input_size:96_act:elu_dropout:0.26834250170579155_dropout:True_batchnorm:True.out
10
[('conv2d', 66, 96, 96, 44, 1848), ('batchnorm2d', 66, 96, 96, 44, 132), ('ELU', 66, 96, 96, 44, 0), ('dropout', 66, 96, 96, 44, 0), ('conv2d', 131, 96, 96, 44, 77945), ('batchnorm2d', 131, 96, 96, 44, 262), ('ELU', 131, 96, 96, 44, 0), ('dropout', 131, 96, 96, 44, 0), ('conv2d', 260, 96, 96, 44, 306800), ('batchnorm2d...
ELU
147,826,288
22,411,577
44
30,361
95.390625
0.934662
0.962821
0.261875
0.017737
10
10
10
1
1
SUCCESSFUL
4.84
62,030.32
85.49
62,120.65
input_channels:1_num_classes:204_depth:8_arch:gradual_base_filters:61_batch:6_input_size:148_act:softplus_dropout:0.37164570554992904_dropout:False_batchnorm:False.out
8
[('conv2d', 61, 148, 148, 6, 610), ('Softplus', 61, 148, 148, 6, 0), ('conv2d', 75, 148, 148, 6, 41250), ('Softplus', 75, 148, 148, 6, 0), ('conv2d', 94, 148, 148, 6, 63544), ('Softplus', 94, 148, 148, 6, 0), ('conv2d', 117, 148, 148, 6, 99099), ('Softplus', 117, 148, 148, 6, 0), ('conv2d', 146, 148, 148, 6, 153884), (...
Softplus
51,913,171
1,606,158
6
3,911
-1
-1
-1
-1
-1
8
0
0
1
1
SUCCESSFUL
0.48
3,564.6
6.13
3,571.21
input_channels:1_num_classes:313_depth:12_arch:hourglass_base_filters:69_batch:36_input_size:202_act:elu_dropout:0.4929905710845056_dropout:False_batchnorm:True.out
12
[('conv2d', 69, 202, 202, 36, 690), ('batchnorm2d', 69, 202, 202, 36, 138), ('ELU', 69, 202, 202, 36, 0), ('conv2d', 121, 202, 202, 36, 75262), ('batchnorm2d', 121, 202, 202, 36, 242), ('ELU', 121, 202, 202, 36, 0), ('conv2d', 213, 202, 202, 36, 232170), ('batchnorm2d', 213, 202, 202, 36, 426), ('ELU', 213, 202, 202, 3...
ELU
637,032,743
32,562,334
36
37,867
40
0.142333
0.068
0.036
0.0395
12
12
0
1
1
OOM_CRASH
5.76
233,288.28
124.22
233,418.26
input_channels:3_num_classes:476_depth:1_arch:hourglass_base_filters:94_batch:20_input_size:118_act:prelu_dropout:0.4976764538806615_dropout:False_batchnorm:False.out
1
[('conv2d', 94, 118, 118, 20, 2632), ('PReLU', 94, 118, 118, 20, 0), ('adaptive_avg_pool2d', 0, 0, 94, 20, 0), ('linear', 0, 0, 476, 20, 45220), ('softmax', 0, 0, 476, 20, 0)]
PReLU
2,618,758
47,852
20
2,201
36.47619
0.322692
0.295804
0.216571
0.044649
1
0
0
1
1
SUCCESSFUL
3.2
599.4
0.18
602.78
input_channels:1_num_classes:829_depth:27_arch:dense_base_filters:71_batch:38_input_size:110_act:swish_dropout:0.4879000239896045_dropout:False_batchnorm:True.out
25
[('conv2d', 32, 110, 110, 38, 320), ('batchnorm2d', 32, 110, 110, 38, 64), ('SiLU', 32, 110, 110, 38, 0), ('conv2d', 32, 110, 110, 38, 9536), ('batchnorm2d', 32, 110, 110, 38, 64), ('SiLU', 32, 110, 110, 38, 0), ('conv2d', 32, 110, 110, 38, 18752), ('batchnorm2d', 32, 110, 110, 38, 64), ('SiLU', 32, 110, 110, 38, 0), (...
SiLU
12,779,962
2,771,325
38
9,029
92.671875
0.915587
0.813222
0.412667
0.114232
25
25
0
1
1
SUCCESSFUL
1.9
7,469.28
10.57
7,481.75
input_channels:3_num_classes:186_depth:9_arch:uniform_base_filters:35_batch:2_input_size:178_act:relu_dropout:0.229215997093005_dropout:False_batchnorm:False.out
9
[('conv2d', 35, 178, 178, 2, 980), ('ReLU', 35, 178, 178, 2, 0), ('conv2d', 35, 178, 178, 2, 11060), ('ReLU', 35, 178, 178, 2, 0), ('conv2d', 35, 178, 178, 2, 11060), ('ReLU', 35, 178, 178, 2, 0), ('conv2d', 35, 178, 178, 2, 11060), ('ReLU', 35, 178, 178, 2, 0), ('conv2d', 35, 178, 178, 2, 11060), ('ReLU', 35, 178, 178...
ReLU
19,961,327
96,156
2
1,843
-1
-1
-1
-1
-1
9
0
0
1
1
SUCCESSFUL
0.72
456.88
0.37
457.97
input_channels:1_num_classes:464_depth:13_arch:dense_base_filters:122_batch:42_input_size:132_act:selu_dropout:0.1632770865763225_dropout:True_batchnorm:False.out
13
[('conv2d', 32, 132, 132, 42, 320), ('SELU', 32, 132, 132, 42, 0), ('dropout', 32, 132, 132, 42, 0), ('conv2d', 32, 132, 132, 42, 9536), ('SELU', 32, 132, 132, 42, 0), ('dropout', 32, 132, 132, 42, 0), ('conv2d', 32, 132, 132, 42, 18752), ('SELU', 32, 132, 132, 42, 0), ('dropout', 32, 132, 132, 42, 0), ('conv2d', 32, 1...
SELU
12,267,744
619,600
42
6,683
-1
-1
-1
-1
-1
13
0
12
1
1
SUCCESSFUL
2.94
6,973.68
2.36
6,978.98
input_channels:1_num_classes:306_depth:22_arch:gradual_base_filters:79_batch:30_input_size:50_act:mish_dropout:0.25702048201729766_dropout:False_batchnorm:False.out
22
[('conv2d', 79, 50, 50, 30, 790), ('Mish', 79, 50, 50, 30, 0), ('conv2d', 85, 50, 50, 30, 60520), ('Mish', 85, 50, 50, 30, 0), ('conv2d', 91, 50, 50, 30, 69706), ('Mish', 91, 50, 50, 30, 0), ('conv2d', 98, 50, 50, 30, 80360), ('Mish', 98, 50, 50, 30, 0), ('conv2d', 106, 50, 50, 30, 93598), ('Mish', 106, 50, 50, 30, 0),...
Mish
20,995,985
8,183,498
30
5,791
93.109375
0.918127
0.858537
0.322593
0.037473
22
0
0
1
1
SUCCESSFUL
0.3
7,208.4
31.22
7,239.92
input_channels:3_num_classes:864_depth:28_arch:pyramid_base_filters:30_batch:44_input_size:108_act:prelu_dropout:0.27757374025542_dropout:True_batchnorm:True.out
28
[('conv2d', 30, 108, 108, 44, 840), ('batchnorm2d', 30, 108, 108, 44, 60), ('PReLU', 30, 108, 108, 44, 0), ('dropout', 30, 108, 108, 44, 0), ('conv2d', 34, 108, 108, 44, 9214), ('batchnorm2d', 34, 108, 108, 44, 68), ('PReLU', 34, 108, 108, 44, 0), ('dropout', 34, 108, 108, 44, 0), ('conv2d', 40, 108, 108, 44, 12280), (...
PReLU
577,698,081
93,628,218
44
40,145
43.5
0.1112
0.371
0.096
0.006
28
28
28
1
1
OOM_CRASH
5.72
242,411.4
357.16
242,774.28
input_channels:3_num_classes:542_depth:27_arch:gradual_base_filters:45_batch:54_input_size:36_act:tanh_dropout:0.3274594166189795_dropout:False_batchnorm:True.out
27
[('conv2d', 45, 36, 36, 54, 1260), ('batchnorm2d', 45, 36, 36, 54, 90), ('Tanh', 45, 36, 36, 54, 0), ('conv2d', 48, 36, 36, 54, 19488), ('batchnorm2d', 48, 36, 36, 54, 96), ('Tanh', 48, 36, 36, 54, 0), ('conv2d', 51, 36, 36, 54, 22083), ('batchnorm2d', 51, 36, 36, 54, 102), ('Tanh', 51, 36, 36, 54, 0), ('conv2d', 55, 3...
Tanh
13,671,574
5,093,108
54
5,047
-1
-1
-1
-1
-1
27
27
0
1
1
SUCCESSFUL
0.54
7,509.78
19.43
7,529.75
input_channels:1_num_classes:543_depth:24_arch:uniform_base_filters:115_batch:6_input_size:168_act:softplus_dropout:0.37527497047970904_dropout:True_batchnorm:True.out
24
[('conv2d', 115, 168, 168, 6, 1150), ('batchnorm2d', 115, 168, 168, 6, 230), ('Softplus', 115, 168, 168, 6, 0), ('dropout', 115, 168, 168, 6, 0), ('conv2d', 115, 168, 168, 6, 119140), ('batchnorm2d', 115, 168, 168, 6, 230), ('Softplus', 115, 168, 168, 6, 0), ('dropout', 115, 168, 168, 6, 0), ('conv2d', 115, 168, 168, 6...
Softplus
311,594,161
2,809,878
6
9,705
-1
-1
-1
-1
-1
24
24
24
1
1
SUCCESSFUL
0.66
17,829.54
10.72
17,840.92
input_channels:3_num_classes:5_depth:29_arch:pyramid_base_filters:104_batch:56_input_size:170_act:gelu_dropout:0.22935792736750116_dropout:True_batchnorm:True.out
29
[('conv2d', 104, 170, 170, 56, 2912), ('batchnorm2d', 104, 170, 170, 56, 208), ('GELU', 104, 170, 170, 56, 0), ('dropout', 104, 170, 170, 56, 0), ('conv2d', 115, 170, 170, 56, 107755), ('batchnorm2d', 115, 170, 170, 56, 230), ('GELU', 115, 170, 170, 56, 0), ('dropout', 115, 170, 170, 56, 0), ('conv2d', 127, 170, 170, 5...
GELU
2,074,559,457
148,712,316
56
39,603
-1
-1
-1
-1
-1
29
29
29
1
1
OOM_CRASH
18.48
1,107,934.24
567.29
1,108,520.01
input_channels:3_num_classes:787_depth:6_arch:bottleneck_base_filters:22_batch:22_input_size:100_act:softplus_dropout:0.11973899218918063_dropout:False_batchnorm:True.out
6
[('conv2d', 44, 100, 100, 22, 1232), ('batchnorm2d', 44, 100, 100, 22, 88), ('Softplus', 44, 100, 100, 22, 0), ('conv2d', 22, 100, 100, 22, 8734), ('batchnorm2d', 22, 100, 100, 22, 44), ('Softplus', 22, 100, 100, 22, 0), ('conv2d', 54, 100, 100, 22, 10746), ('batchnorm2d', 54, 100, 100, 22, 108), ('Softplus', 54, 100, ...
Softplus
42,452,401
3,630,363
22
7,665
-1
-1
-1
-1
-1
6
6
0
1
1
SUCCESSFUL
2.42
9,500.48
13.85
9,516.75
input_channels:1_num_classes:890_depth:23_arch:uniform_base_filters:113_batch:28_input_size:212_act:swish_dropout:0.21876314864445623_dropout:False_batchnorm:True.out
23
[('conv2d', 113, 212, 212, 28, 1130), ('batchnorm2d', 113, 212, 212, 28, 226), ('SiLU', 113, 212, 212, 28, 0), ('conv2d', 113, 212, 212, 28, 115034), ('batchnorm2d', 113, 212, 212, 28, 226), ('SiLU', 113, 212, 212, 28, 0), ('conv2d', 113, 212, 212, 28, 115034), ('batchnorm2d', 113, 212, 212, 28, 226), ('SiLU', 113, 212...
SiLU
350,430,261
2,638,536
28
39,903
-1
-1
-1
-1
-1
23
23
0
1
1
OOM_CRASH
4.76
99,813.28
10.07
99,828.11
input_channels:3_num_classes:430_depth:18_arch:dense_base_filters:18_batch:44_input_size:12_act:relu_dropout:0.40423482856948545_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 12, 12, 44, 896), ('batchnorm2d', 32, 12, 12, 44, 64), ('ReLU', 32, 12, 12, 44, 0), ('conv2d', 32, 12, 12, 44, 10112), ('batchnorm2d', 32, 12, 12, 44, 64), ('ReLU', 32, 12, 12, 44, 0), ('conv2d', 32, 12, 12, 44, 19328), ('batchnorm2d', 32, 12, 12, 44, 64), ('ReLU', 32, 12, 12, 44, 0), ('conv2d', 32, 12,...
ReLU
126,157
1,095,394
44
1,811
31.238095
0.286953
0.107123
0.025518
0.012625
17
17
0
1
1
SUCCESSFUL
0
75.68
4.18
79.86
input_channels:1_num_classes:617_depth:16_arch:bottleneck_base_filters:71_batch:28_input_size:170_act:gelu_dropout:0.41387214354836666_dropout:False_batchnorm:False.out
16
[('conv2d', 142, 170, 170, 28, 1420), ('GELU', 142, 170, 170, 28, 0), ('conv2d', 71, 170, 170, 28, 90809), ('GELU', 71, 170, 170, 28, 0), ('conv2d', 88, 170, 170, 28, 56320), ('GELU', 88, 170, 170, 28, 0), ('conv2d', 111, 170, 170, 28, 88023), ('GELU', 111, 170, 170, 28, 0), ('conv2d', 139, 170, 170, 28, 139000), ('GEL...
GELU
462,634,070
54,287,179
28
38,641
26
0.0365
0.322
0.063
0
16
0
0
1
1
OOM_CRASH
3.08
148,243.76
207.09
148,453.93
input_channels:1_num_classes:61_depth:27_arch:dense_base_filters:67_batch:56_input_size:86_act:elu_dropout:0.32543640163756493_dropout:False_batchnorm:False.out
25
[('conv2d', 32, 86, 86, 56, 320), ('ELU', 32, 86, 86, 56, 0), ('conv2d', 32, 86, 86, 56, 9536), ('ELU', 32, 86, 86, 56, 0), ('conv2d', 32, 86, 86, 56, 18752), ('ELU', 32, 86, 86, 56, 0), ('conv2d', 32, 86, 86, 56, 27968), ('ELU', 32, 86, 86, 56, 0), ('conv2d', 64, 86, 86, 56, 8320), ('ReLU', 64, 86, 86, 56, 0), ('conv2...
ELU
5,207,610
2,228,221
56
7,841
-1
-1
-1
-1
-1
25
0
0
1
1
SUCCESSFUL
1.68
5,615.68
8.5
5,625.86
input_channels:3_num_classes:61_depth:9_arch:dense_base_filters:90_batch:54_input_size:104_act:gelu_dropout:0.3082159729117378_dropout:True_batchnorm:True.out
9
[('conv2d', 32, 104, 104, 54, 896), ('batchnorm2d', 32, 104, 104, 54, 64), ('GELU', 32, 104, 104, 54, 0), ('dropout', 32, 104, 104, 54, 0), ('conv2d', 32, 104, 104, 54, 10112), ('batchnorm2d', 32, 104, 104, 54, 64), ('GELU', 32, 104, 104, 54, 0), ('dropout', 32, 104, 104, 54, 0), ('conv2d', 32, 104, 104, 54, 19328), ('...
GELU
9,031,675
210,240
54
5,455
-1
-1
-1
-1
-1
9
9
8
1
1
SUCCESSFUL
6.48
5,667.3
0.8
5,674.58
input_channels:1_num_classes:273_depth:21_arch:gradual_base_filters:94_batch:4_input_size:126_act:tanh_dropout:0.25122313648211103_dropout:False_batchnorm:False.out
21
[('conv2d', 94, 126, 126, 4, 940), ('Tanh', 94, 126, 126, 4, 0), ('conv2d', 101, 126, 126, 4, 85547), ('Tanh', 101, 126, 126, 4, 0), ('conv2d', 108, 126, 126, 4, 98280), ('Tanh', 108, 126, 126, 4, 0), ('conv2d', 117, 126, 126, 4, 113841), ('Tanh', 117, 126, 126, 4, 0), ('conv2d', 126, 126, 126, 4, 132804), ('Tanh', 126...
Tanh
143,488,241
9,724,852
4
4,071
-1
-1
-1
-1
-1
21
0
0
1
1
SUCCESSFUL
0.24
6,568.36
37.1
6,605.7
input_channels:1_num_classes:948_depth:28_arch:dense_base_filters:89_batch:16_input_size:50_act:tanh_dropout:0.26409647167184447_dropout:False_batchnorm:True.out
30
[('conv2d', 32, 50, 50, 16, 320), ('batchnorm2d', 32, 50, 50, 16, 64), ('Tanh', 32, 50, 50, 16, 0), ('conv2d', 32, 50, 50, 16, 9536), ('batchnorm2d', 32, 50, 50, 16, 64), ('Tanh', 32, 50, 50, 16, 0), ('conv2d', 32, 50, 50, 16, 18752), ('batchnorm2d', 32, 50, 50, 16, 64), ('Tanh', 32, 50, 50, 16, 0), ('conv2d', 32, 50, ...
Tanh
3,357,672
3,352,916
16
2,487
74.046875
0.697631
0.486491
0.19886
0.029259
30
30
0
1
1
SUCCESSFUL
0.16
787.2
12.79
800.15
input_channels:3_num_classes:503_depth:6_arch:pyramid_base_filters:60_batch:42_input_size:158_act:tanh_dropout:0.26256917925093576_dropout:False_batchnorm:False.out
6
[('conv2d', 60, 158, 158, 42, 1680), ('Tanh', 60, 158, 158, 42, 0), ('conv2d', 108, 158, 158, 42, 58428), ('Tanh', 108, 158, 158, 42, 0), ('conv2d', 194, 158, 158, 42, 188762), ('Tanh', 194, 158, 158, 42, 0), ('conv2d', 350, 158, 158, 42, 611450), ('Tanh', 350, 158, 158, 42, 0), ('conv2d', 631, 158, 158, 42, 1988281), ...
Tanh
123,823,583
9,879,175
42
39,533
-1
-1
-1
-1
-1
6
0
0
1
1
SUCCESSFUL
12.18
59,515.68
37.69
59,565.55
input_channels:1_num_classes:637_depth:19_arch:bottleneck_base_filters:50_batch:62_input_size:46_act:prelu_dropout:0.44622510323686193_dropout:False_batchnorm:False.out
19
[('conv2d', 100, 46, 46, 62, 1000), ('PReLU', 100, 46, 46, 62, 0), ('conv2d', 50, 46, 46, 62, 45050), ('PReLU', 50, 46, 46, 62, 0), ('conv2d', 61, 46, 46, 62, 27511), ('PReLU', 61, 46, 46, 62, 0), ('conv2d', 75, 46, 46, 62, 41250), ('PReLU', 75, 46, 46, 62, 0), ('conv2d', 92, 46, 46, 62, 62192), ('PReLU', 92, 46, 46, 6...
PReLU
37,312,252
61,161,913
62
20,659
-1
-1
-1
-1
-1
19
0
0
1
1
SUCCESSFUL
0.62
26,473.38
233.31
26,707.31
input_channels:1_num_classes:719_depth:13_arch:pyramid_base_filters:17_batch:42_input_size:168_act:gelu_dropout:0.43629902333548687_dropout:True_batchnorm:True.out
13
[('conv2d', 17, 168, 168, 42, 170), ('batchnorm2d', 17, 168, 168, 42, 34), ('GELU', 17, 168, 168, 42, 0), ('dropout', 17, 168, 168, 42, 0), ('conv2d', 24, 168, 168, 42, 3696), ('batchnorm2d', 24, 168, 168, 42, 48), ('GELU', 24, 168, 168, 42, 0), ('dropout', 24, 168, 168, 42, 0), ('conv2d', 35, 168, 168, 42, 7595), ('ba...
GELU
513,792,550
24,937,718
42
37,061
-1
-1
-1
-1
-1
13
13
13
1
1
OOM_CRASH
4.62
205,795.8
95.13
205,895.55
input_channels:3_num_classes:984_depth:5_arch:dense_base_filters:70_batch:58_input_size:62_act:prelu_dropout:0.3319989428329623_dropout:True_batchnorm:True.out
4
[('conv2d', 32, 62, 62, 58, 896), ('batchnorm2d', 32, 62, 62, 58, 64), ('PReLU', 32, 62, 62, 58, 0), ('dropout', 32, 62, 62, 58, 0), ('conv2d', 32, 62, 62, 58, 10112), ('batchnorm2d', 32, 62, 62, 58, 64), ('PReLU', 32, 62, 62, 58, 0), ('dropout', 32, 62, 62, 58, 0), ('conv2d', 32, 62, 62, 58, 19328), ('batchnorm2d', 32...
PReLU
1,970,227
189,024
58
2,761
67.828125
0.646672
0.489855
0.259509
0.092204
4
4
4
1
1
SUCCESSFUL
2.32
1,312.54
0.72
1,315.58
input_channels:3_num_classes:440_depth:26_arch:pyramid_base_filters:17_batch:54_input_size:94_act:tanh_dropout:0.1228383805623846_dropout:False_batchnorm:True.out
26
[('conv2d', 17, 94, 94, 54, 476), ('batchnorm2d', 17, 94, 94, 54, 34), ('Tanh', 17, 94, 94, 54, 0), ('conv2d', 20, 94, 94, 54, 3080), ('batchnorm2d', 20, 94, 94, 54, 40), ('Tanh', 20, 94, 94, 54, 0), ('conv2d', 24, 94, 94, 54, 4344), ('batchnorm2d', 24, 94, 94, 54, 48), ('Tanh', 24, 94, 94, 54, 0), ('conv2d', 29, 94, 9...
Tanh
265,718,775
71,130,609
54
39,309
-1
-1
-1
-1
-1
26
26
0
1
1
OOM_CRASH
5.4
145,963.08
271.34
146,239.82
input_channels:1_num_classes:410_depth:18_arch:uniform_base_filters:52_batch:34_input_size:130_act:leaky_relu_dropout:0.153340238559773_dropout:False_batchnorm:True.out
18
[('conv2d', 52, 130, 130, 34, 520), ('batchnorm2d', 52, 130, 130, 34, 104), ('LeakyReLU', 52, 130, 130, 34, 0), ('conv2d', 52, 130, 130, 34, 24388), ('batchnorm2d', 52, 130, 130, 34, 104), ('LeakyReLU', 52, 130, 130, 34, 0), ('conv2d', 52, 130, 130, 34, 24388), ('batchnorm2d', 52, 130, 130, 34, 104), ('LeakyReLU', 52, ...
LeakyReLU
47,456,072
438,718
34
9,035
-1
-1
-1
-1
-1
18
18
0
1
1
SUCCESSFUL
2.04
16,413.5
1.67
16,417.21
input_channels:3_num_classes:613_depth:19_arch:dense_base_filters:29_batch:10_input_size:188_act:mish_dropout:0.23585517972182385_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 188, 188, 10, 896), ('batchnorm2d', 32, 188, 188, 10, 64), ('Mish', 32, 188, 188, 10, 0), ('conv2d', 32, 188, 188, 10, 10112), ('batchnorm2d', 32, 188, 188, 10, 64), ('Mish', 32, 188, 188, 10, 0), ('conv2d', 32, 188, 188, 10, 19328), ('batchnorm2d', 32, 188, 188, 10, 64), ('Mish', 32, 188, 188, 10, 0), ...
Mish
30,644,923
1,177,744
10
5,589
91.476923
0.917127
0.773811
0.387962
0.120375
17
17
0
1
1
SUCCESSFUL
4
4,207.4
4.49
4,215.89
input_channels:3_num_classes:457_depth:24_arch:gradual_base_filters:88_batch:36_input_size:192_act:elu_dropout:0.37709114639711994_dropout:True_batchnorm:True.out
24
[('conv2d', 88, 192, 192, 36, 2464), ('batchnorm2d', 88, 192, 192, 36, 176), ('ELU', 88, 192, 192, 36, 0), ('dropout', 88, 192, 192, 36, 0), ('conv2d', 93, 192, 192, 36, 73749), ('batchnorm2d', 93, 192, 192, 36, 186), ('ELU', 93, 192, 192, 36, 0), ('dropout', 93, 192, 192, 36, 0), ('conv2d', 100, 192, 192, 36, 83800), ...
ELU
730,793,247
10,471,073
36
39,567
14
0.078667
0.08325
0.049333
0.015
24
24
24
1
1
OOM_CRASH
15.12
250,898.04
39.94
250,953.1
input_channels:3_num_classes:306_depth:27_arch:uniform_base_filters:55_batch:8_input_size:212_act:mish_dropout:0.260190411909923_dropout:False_batchnorm:False.out
27
[('conv2d', 55, 212, 212, 8, 1540), ('Mish', 55, 212, 212, 8, 0), ('conv2d', 55, 212, 212, 8, 27280), ('Mish', 55, 212, 212, 8, 0), ('conv2d', 55, 212, 212, 8, 27280), ('Mish', 55, 212, 212, 8, 0), ('conv2d', 55, 212, 212, 8, 27280), ('Mish', 55, 212, 212, 8, 0), ('conv2d', 55, 212, 212, 8, 27280), ('Mish', 55, 212, 21...
Mish
133,484,347
727,956
8
7,341
94.47619
0.922422
0.900368
0.528893
0.066339
27
0
0
1
1
SUCCESSFUL
4.08
12,220.8
2.78
12,227.66