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:403_depth:17_arch:gradual_base_filters:33_batch:14_input_size:168_act:prelu_dropout:0.40188004364801044_dropout:True_batchnorm:True.out
17
[('conv2d', 33, 168, 168, 14, 924), ('batchnorm2d', 33, 168, 168, 14, 66), ('PReLU', 33, 168, 168, 14, 0), ('dropout', 33, 168, 168, 14, 0), ('conv2d', 37, 168, 168, 14, 11026), ('batchnorm2d', 37, 168, 168, 14, 74), ('PReLU', 37, 168, 168, 14, 0), ('dropout', 37, 168, 168, 14, 0), ('conv2d', 42, 168, 168, 14, 14028), ...
PReLU
197,681,932
2,003,709
14
18,341
93.703125
0.935429
0.889945
0.410836
0.032981
17
17
17
1
1
SUCCESSFUL
4.48
26,393.36
7.64
26,405.48
input_channels:1_num_classes:57_depth:19_arch:hourglass_base_filters:105_batch:60_input_size:70_act:prelu_dropout:0.15841506735980082_dropout:True_batchnorm:True.out
19
[('conv2d', 105, 70, 70, 60, 1050), ('batchnorm2d', 105, 70, 70, 60, 210), ('PReLU', 105, 70, 70, 60, 0), ('dropout', 105, 70, 70, 60, 0), ('conv2d', 146, 70, 70, 60, 138116), ('batchnorm2d', 146, 70, 70, 60, 292), ('PReLU', 146, 70, 70, 60, 0), ('dropout', 146, 70, 70, 60, 0), ('conv2d', 203, 70, 70, 60, 266945), ('ba...
PReLU
207,329,019
83,387,586
60
39,883
-1
-1
-1
-1
-1
19
19
19
1
1
OOM_CRASH
1.2
118,634.4
318.1
118,953.7
input_channels:1_num_classes:450_depth:15_arch:residual_base_filters:50_batch:8_input_size:6_act:mish_dropout:0.3399049830577918_dropout:True_batchnorm:True.out
0
[]
null
0
0
8
0
50.5
0.043
0.169
0.079
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:344_depth:20_arch:hourglass_base_filters:35_batch:30_input_size:126_act:gelu_dropout:0.29962255383212855_dropout:False_batchnorm:True.out
20
[('conv2d', 35, 126, 126, 30, 350), ('batchnorm2d', 35, 126, 126, 30, 70), ('GELU', 35, 126, 126, 30, 0), ('conv2d', 52, 126, 126, 30, 16432), ('batchnorm2d', 52, 126, 126, 30, 104), ('GELU', 52, 126, 126, 30, 0), ('conv2d', 78, 126, 126, 30, 36582), ('batchnorm2d', 78, 126, 126, 30, 156), ('GELU', 78, 126, 126, 30, 0)...
GELU
381,405,747
56,677,422
30
39,967
-1
-1
-1
-1
-1
20
20
0
1
1
OOM_CRASH
1.8
116,395.8
216.21
116,613.81
input_channels:1_num_classes:555_depth:10_arch:hourglass_base_filters:50_batch:26_input_size:204_act:swish_dropout:0.234885557055481_dropout:True_batchnorm:False.out
10
[('conv2d', 50, 204, 204, 26, 500), ('SiLU', 50, 204, 204, 26, 0), ('dropout', 50, 204, 204, 26, 0), ('conv2d', 105, 204, 204, 26, 47355), ('SiLU', 105, 204, 204, 26, 0), ('dropout', 105, 204, 204, 26, 0), ('conv2d', 220, 204, 204, 26, 208120), ('SiLU', 220, 204, 204, 26, 0), ('dropout', 220, 204, 204, 26, 0), ('conv2d...
SiLU
452,450,312
19,031,559
26
39,817
-1
-1
-1
-1
-1
10
0
10
1
1
OOM_CRASH
4.16
119,666.56
72.6
119,743.32
input_channels:1_num_classes:830_depth:1_arch:pyramid_base_filters:57_batch:30_input_size:104_act:softplus_dropout:0.29638218660893423_dropout:False_batchnorm:False.out
1
[('conv2d', 57, 104, 104, 30, 570), ('Softplus', 57, 104, 104, 30, 0), ('adaptive_avg_pool2d', 0, 0, 57, 30, 0), ('linear', 0, 0, 830, 30, 48140), ('softmax', 0, 0, 830, 30, 0)]
Softplus
1,234,741
48,710
30
1,991
34.338462
0.291585
0.226375
0.156196
0.055316
1
0
0
1
1
SUCCESSFUL
1.2
423.6
0.19
424.99
input_channels:3_num_classes:296_depth:15_arch:uniform_base_filters:126_batch:56_input_size:162_act:mish_dropout:0.33413346181706827_dropout:True_batchnorm:False.out
15
[('conv2d', 126, 162, 162, 56, 3528), ('Mish', 126, 162, 162, 56, 0), ('dropout', 126, 162, 162, 56, 0), ('conv2d', 126, 162, 162, 56, 143010), ('Mish', 126, 162, 162, 56, 0), ('dropout', 126, 162, 162, 56, 0), ('conv2d', 126, 162, 162, 56, 143010), ('Mish', 126, 162, 162, 56, 0), ('dropout', 126, 162, 162, 56, 0), ('c...
Mish
148,804,198
2,043,260
56
30,747
-1
-1
-1
-1
-1
15
0
15
1
1
SUCCESSFUL
16.8
84,767.76
7.79
84,792.35
input_channels:1_num_classes:268_depth:27_arch:uniform_base_filters:118_batch:4_input_size:224_act:elu_dropout:0.4386822343273704_dropout:True_batchnorm:True.out
27
[('conv2d', 118, 224, 224, 4, 1180), ('batchnorm2d', 118, 224, 224, 4, 236), ('ELU', 118, 224, 224, 4, 0), ('dropout', 118, 224, 224, 4, 0), ('conv2d', 118, 224, 224, 4, 125434), ('batchnorm2d', 118, 224, 224, 4, 236), ('ELU', 118, 224, 224, 4, 0), ('dropout', 118, 224, 224, 4, 0), ('conv2d', 118, 224, 224, 4, 125434),...
ELU
639,443,598
3,300,728
4
11,513
-1
-1
-1
-1
-1
27
27
27
1
1
SUCCESSFUL
0.76
24,392.84
12.59
24,406.19
input_channels:1_num_classes:945_depth:26_arch:hourglass_base_filters:95_batch:10_input_size:98_act:gelu_dropout:0.37620502162765845_dropout:False_batchnorm:True.out
26
[('conv2d', 95, 98, 98, 10, 950), ('batchnorm2d', 95, 98, 98, 10, 190), ('GELU', 95, 98, 98, 10, 0), ('conv2d', 120, 98, 98, 10, 102720), ('batchnorm2d', 120, 98, 98, 10, 240), ('GELU', 120, 98, 98, 10, 0), ('conv2d', 152, 98, 98, 10, 164312), ('batchnorm2d', 152, 98, 98, 10, 304), ('GELU', 152, 98, 98, 10, 0), ('conv2...
GELU
422,040,161
121,930,926
10
24,291
-1
-1
-1
-1
-1
26
26
0
1
1
SUCCESSFUL
0.4
42,932.1
465.13
43,397.63
input_channels:1_num_classes:659_depth:9_arch:gradual_base_filters:17_batch:8_input_size:182_act:elu_dropout:0.3173576071384448_dropout:True_batchnorm:True.out
9
[('conv2d', 17, 182, 182, 8, 170), ('batchnorm2d', 17, 182, 182, 8, 34), ('ELU', 17, 182, 182, 8, 0), ('dropout', 17, 182, 182, 8, 0), ('conv2d', 22, 182, 182, 8, 3388), ('batchnorm2d', 22, 182, 182, 8, 44), ('ELU', 22, 182, 182, 8, 0), ('dropout', 22, 182, 182, 8, 0), ('conv2d', 28, 182, 182, 8, 5572), ('batchnorm2d',...
ELU
73,006,756
427,351
8
4,935
90.625
0.924
0.79887
0.389963
0.079286
9
9
9
1
1
SUCCESSFUL
1.04
5,569.92
1.63
5,572.59
input_channels:3_num_classes:142_depth:12_arch:uniform_base_filters:79_batch:46_input_size:186_act:leaky_relu_dropout:0.29290138962263673_dropout:False_batchnorm:True.out
12
[('conv2d', 79, 186, 186, 46, 2212), ('batchnorm2d', 79, 186, 186, 46, 158), ('LeakyReLU', 79, 186, 186, 46, 0), ('conv2d', 79, 186, 186, 46, 56248), ('batchnorm2d', 79, 186, 186, 46, 158), ('LeakyReLU', 79, 186, 186, 46, 0), ('conv2d', 79, 186, 186, 46, 56248), ('batchnorm2d', 79, 186, 186, 46, 158), ('LeakyReLU', 79,...
LeakyReLU
98,391,387
634,196
46
22,367
-1
-1
-1
-1
-1
12
12
0
1
1
SUCCESSFUL
18.4
46,040.94
2.42
46,061.76
input_channels:3_num_classes:763_depth:16_arch:residual_base_filters:63_batch:60_input_size:48_act:mish_dropout:0.40622601138391734_dropout:False_batchnorm:False.out
18
[('conv2d', 63, 48, 48, 60, 252), ('conv2d', 63, 48, 48, 60, 1764), ('Mish', 63, 48, 48, 60, 0), ('conv2d', 63, 48, 48, 60, 35784), ('Mish', 63, 48, 48, 60, 0), ('conv2d', 78, 24, 24, 60, 4992), ('conv2d', 78, 24, 24, 60, 44304), ('Mish', 78, 24, 24, 60, 0), ('conv2d', 78, 24, 24, 60, 54834), ('Mish', 78, 24, 24, 60, 0...
Mish
1,460,072
1,670,117
60
2,275
68.890625
0.649646
0.555754
0.26014
0.053589
18
0
0
1
1
SUCCESSFUL
1.8
1,202.4
6.37
1,210.57
input_channels:1_num_classes:413_depth:21_arch:dense_base_filters:94_batch:62_input_size:190_act:prelu_dropout:0.36790499241669417_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 190, 190, 62, 320), ('PReLU', 32, 190, 190, 62, 0), ('conv2d', 32, 190, 190, 62, 9536), ('PReLU', 32, 190, 190, 62, 0), ('conv2d', 32, 190, 190, 62, 18752), ('PReLU', 32, 190, 190, 62, 0), ('conv2d', 32, 190, 190, 62, 27968), ('PReLU', 32, 190, 190, 62, 0), ('conv2d', 64, 190, 190, 62, 8320), ('ReLU', 6...
PReLU
23,105,402
1,704,541
62
25,425
-1
-1
-1
-1
-1
21
0
0
1
1
SUCCESSFUL
8.68
25,700.24
6.5
25,715.42
input_channels:3_num_classes:472_depth:18_arch:hourglass_base_filters:32_batch:58_input_size:102_act:tanh_dropout:0.3387306424133535_dropout:True_batchnorm:False.out
18
[('conv2d', 32, 102, 102, 58, 896), ('Tanh', 32, 102, 102, 58, 0), ('dropout', 32, 102, 102, 58, 0), ('conv2d', 50, 102, 102, 58, 14450), ('Tanh', 50, 102, 102, 58, 0), ('dropout', 50, 102, 102, 58, 0), ('conv2d', 80, 102, 102, 58, 36080), ('Tanh', 80, 102, 102, 58, 0), ('dropout', 80, 102, 102, 58, 0), ('conv2d', 127,...
Tanh
213,928,024
46,209,692
58
39,901
93.30303
0.9305
0.988283
0.273717
0.381857
18
0
18
1
1
SUCCESSFUL
6.96
126,219.02
176.28
126,402.26
input_channels:1_num_classes:101_depth:21_arch:residual_base_filters:53_batch:46_input_size:8_act:tanh_dropout:0.36567451982204546_dropout:False_batchnorm:False.out
6
[('conv2d', 53, 8, 8, 46, 106), ('conv2d', 53, 8, 8, 46, 530), ('Tanh', 53, 8, 8, 46, 0), ('conv2d', 53, 8, 8, 46, 25334), ('Tanh', 53, 8, 8, 46, 0), ('conv2d', 63, 4, 4, 46, 3402), ('conv2d', 63, 4, 4, 46, 30114), ('Tanh', 63, 4, 4, 46, 0), ('conv2d', 63, 4, 4, 46, 35784), ('Tanh', 63, 4, 4, 46, 0), ('adaptive_avg_poo...
Tanh
22,265
101,734
46
1,707
25.786885
0.226369
0.070464
0.018411
0.0112
6
0
0
1
1
SUCCESSFUL
0
13.8
0.39
14.19
input_channels:1_num_classes:603_depth:26_arch:uniform_base_filters:59_batch:12_input_size:182_act:selu_dropout:0.20861201721086933_dropout:True_batchnorm:True.out
26
[('conv2d', 59, 182, 182, 12, 590), ('batchnorm2d', 59, 182, 182, 12, 118), ('SELU', 59, 182, 182, 12, 0), ('dropout', 59, 182, 182, 12, 0), ('conv2d', 59, 182, 182, 12, 31388), ('batchnorm2d', 59, 182, 182, 12, 118), ('SELU', 59, 182, 182, 12, 0), ('dropout', 59, 182, 182, 12, 0), ('conv2d', 59, 182, 182, 12, 31388), ...
SELU
203,250,129
824,538
12
10,709
-1
-1
-1
-1
-1
26
26
26
1
1
SUCCESSFUL
1.56
23,260.08
3.15
23,264.79
input_channels:1_num_classes:1000_depth:4_arch:dense_base_filters:114_batch:26_input_size:166_act:selu_dropout:0.49170226504957626_dropout:True_batchnorm:True.out
4
[('conv2d', 32, 166, 166, 26, 320), ('batchnorm2d', 32, 166, 166, 26, 64), ('SELU', 32, 166, 166, 26, 0), ('dropout', 32, 166, 166, 26, 0), ('conv2d', 32, 166, 166, 26, 9536), ('batchnorm2d', 32, 166, 166, 26, 64), ('SELU', 32, 166, 166, 26, 0), ('dropout', 32, 166, 166, 26, 0), ('conv2d', 32, 166, 166, 26, 18752), ('b...
SELU
14,110,801
186,832
26
5,003
-1
-1
-1
-1
-1
4
4
4
1
1
SUCCESSFUL
2.86
4,203.94
0.71
4,207.51
input_channels:3_num_classes:328_depth:20_arch:pyramid_base_filters:74_batch:38_input_size:54_act:mish_dropout:0.4632177722655514_dropout:False_batchnorm:True.out
20
[('conv2d', 74, 54, 54, 38, 2072), ('batchnorm2d', 74, 54, 54, 38, 148), ('Mish', 74, 54, 54, 38, 0), ('conv2d', 87, 54, 54, 38, 58029), ('batchnorm2d', 87, 54, 54, 38, 174), ('Mish', 87, 54, 54, 38, 0), ('conv2d', 103, 54, 54, 38, 80752), ('batchnorm2d', 103, 54, 54, 38, 206), ('Mish', 103, 54, 54, 38, 0), ('conv2d', ...
Mish
95,530,550
81,553,213
38
24,955
94.125
0.925308
0.945103
0.21669
0.022164
20
20
0
1
1
SUCCESSFUL
1.14
36,927.64
311.1
37,239.88
input_channels:1_num_classes:494_depth:8_arch:dense_base_filters:121_batch:26_input_size:124_act:tanh_dropout:0.37119457503616426_dropout:False_batchnorm:True.out
9
[('conv2d', 32, 124, 124, 26, 320), ('batchnorm2d', 32, 124, 124, 26, 64), ('Tanh', 32, 124, 124, 26, 0), ('conv2d', 32, 124, 124, 26, 9536), ('batchnorm2d', 32, 124, 124, 26, 64), ('Tanh', 32, 124, 124, 26, 0), ('conv2d', 32, 124, 124, 26, 18752), ('batchnorm2d', 32, 124, 124, 26, 64), ('Tanh', 32, 124, 124, 26, 0), (...
Tanh
10,333,852
290,030
26
4,113
86.453125
0.854769
0.687375
0.341732
0.10178
9
9
0
1
1
SUCCESSFUL
1.56
3,370.64
1.11
3,373.31
input_channels:3_num_classes:958_depth:11_arch:hourglass_base_filters:127_batch:38_input_size:8_act:prelu_dropout:0.27482696605146023_dropout:False_batchnorm:True.out
11
[('conv2d', 127, 8, 8, 38, 3556), ('batchnorm2d', 127, 8, 8, 38, 254), ('PReLU', 127, 8, 8, 38, 0), ('conv2d', 221, 8, 8, 38, 252824), ('batchnorm2d', 221, 8, 8, 38, 442), ('PReLU', 221, 8, 8, 38, 0), ('conv2d', 386, 8, 8, 38, 768140), ('batchnorm2d', 386, 8, 8, 38, 772), ('PReLU', 386, 8, 8, 38, 0), ('conv2d', 673, 8,...
PReLU
1,122,555
39,596,519
38
2,759
-1
-1
-1
-1
-1
11
11
0
1
1
SUCCESSFUL
0
433.58
151.05
584.63
input_channels:3_num_classes:426_depth:16_arch:dense_base_filters:108_batch:24_input_size:32_act:gelu_dropout:0.4118615888005951_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 32, 32, 24, 896), ('GELU', 32, 32, 32, 24, 0), ('dropout', 32, 32, 32, 24, 0), ('conv2d', 32, 32, 32, 24, 10112), ('GELU', 32, 32, 32, 24, 0), ('dropout', 32, 32, 32, 24, 0), ('conv2d', 32, 32, 32, 24, 19328), ('GELU', 32, 32, 32, 24, 0), ('dropout', 32, 32, 32, 24, 0), ('conv2d', 32, 32, 32, 24, 28544)...
GELU
822,549
1,092,440
24
1,949
54.206349
0.527031
0.311145
0.103574
0.018463
17
0
16
1
1
SUCCESSFUL
0.24
280.56
4.17
284.97
input_channels:1_num_classes:394_depth:12_arch:bottleneck_base_filters:22_batch:6_input_size:6_act:selu_dropout:0.2709641868368866_dropout:False_batchnorm:True.out
0
[]
null
0
0
6
0
0
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:39_depth:24_arch:gradual_base_filters:72_batch:8_input_size:136_act:relu_dropout:0.15294600967443808_dropout:True_batchnorm:True.out
24
[('conv2d', 72, 136, 136, 8, 2016), ('batchnorm2d', 72, 136, 136, 8, 144), ('ReLU', 72, 136, 136, 8, 0), ('dropout', 72, 136, 136, 8, 0), ('conv2d', 77, 136, 136, 8, 49973), ('batchnorm2d', 77, 136, 136, 8, 154), ('ReLU', 77, 136, 136, 8, 0), ('dropout', 77, 136, 136, 8, 0), ('conv2d', 82, 136, 136, 8, 56908), ('batchn...
ReLU
318,723,508
7,926,936
8
12,695
93.846154
0.900606
0.90425
0.375893
0.017273
24
24
24
1
1
SUCCESSFUL
1.68
24,316.64
30.24
24,348.56
input_channels:1_num_classes:788_depth:12_arch:hourglass_base_filters:86_batch:32_input_size:74_act:gelu_dropout:0.4527253104062673_dropout:True_batchnorm:True.out
12
[('conv2d', 86, 74, 74, 32, 860), ('batchnorm2d', 86, 74, 74, 32, 172), ('GELU', 86, 74, 74, 32, 0), ('dropout', 86, 74, 74, 32, 0), ('conv2d', 145, 74, 74, 32, 112375), ('batchnorm2d', 145, 74, 74, 32, 290), ('GELU', 145, 74, 74, 32, 0), ('dropout', 145, 74, 74, 32, 0), ('conv2d', 247, 74, 74, 32, 322582), ('batchnorm...
GELU
123,321,182
36,739,413
32
17,931
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
0.64
37,634.56
140.15
37,775.35
input_channels:3_num_classes:950_depth:2_arch:dense_base_filters:85_batch:62_input_size:138_act:mish_dropout:0.30608698415816415_dropout:False_batchnorm:True.out
0
[]
null
0
0
62
1,467
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:765_depth:19_arch:uniform_base_filters:30_batch:8_input_size:188_act:gelu_dropout:0.3844845763978586_dropout:False_batchnorm:False.out
19
[('conv2d', 30, 188, 188, 8, 840), ('GELU', 30, 188, 188, 8, 0), ('conv2d', 30, 188, 188, 8, 8130), ('GELU', 30, 188, 188, 8, 0), ('conv2d', 30, 188, 188, 8, 8130), ('GELU', 30, 188, 188, 8, 0), ('conv2d', 30, 188, 188, 8, 8130), ('GELU', 30, 188, 188, 8, 0), ('conv2d', 30, 188, 188, 8, 8130), ('GELU', 30, 188, 188, 8,...
GELU
40,293,720
170,895
8
3,481
90.875
0.906619
0.779218
0.403873
0.132491
19
0
0
1
1
SUCCESSFUL
3.2
3,688.96
0.65
3,692.81
input_channels:3_num_classes:339_depth:16_arch:uniform_base_filters:39_batch:36_input_size:62_act:softplus_dropout:0.28646110674331304_dropout:True_batchnorm:True.out
16
[('conv2d', 39, 62, 62, 36, 1092), ('batchnorm2d', 39, 62, 62, 36, 78), ('Softplus', 39, 62, 62, 36, 0), ('dropout', 39, 62, 62, 36, 0), ('conv2d', 39, 62, 62, 36, 13728), ('batchnorm2d', 39, 62, 62, 36, 78), ('Softplus', 39, 62, 62, 36, 0), ('dropout', 39, 62, 62, 36, 0), ('conv2d', 39, 62, 62, 36, 13728), ('batchnorm...
Softplus
9,595,341
221,820
36
2,991
-1
-1
-1
-1
-1
16
16
16
1
1
SUCCESSFUL
1.44
3,294.36
0.85
3,296.65
input_channels:1_num_classes:900_depth:2_arch:residual_base_filters:20_batch:36_input_size:58_act:leaky_relu_dropout:0.43479730801548533_dropout:False_batchnorm:True.out
3
[('conv2d', 20, 58, 58, 36, 40), ('batchnorm2d', 20, 58, 58, 36, 40), ('conv2d', 20, 58, 58, 36, 200), ('batchnorm2d', 20, 58, 58, 36, 40), ('LeakyReLU', 20, 58, 58, 36, 0), ('conv2d', 20, 58, 58, 36, 3620), ('batchnorm2d', 20, 58, 58, 36, 40), ('LeakyReLU', 20, 58, 58, 36, 0), ('adaptive_avg_pool2d', 0, 0, 20, 36, 0),...
LeakyReLU
540,060
22,880
36
1,845
-1
-1
-1
-1
-1
3
3
0
1
1
SUCCESSFUL
0.36
203.76
0.09
204.21
input_channels:3_num_classes:409_depth:16_arch:uniform_base_filters:88_batch:6_input_size:160_act:gelu_dropout:0.31879207674233184_dropout:True_batchnorm:True.out
16
[('conv2d', 88, 160, 160, 6, 2464), ('batchnorm2d', 88, 160, 160, 6, 176), ('GELU', 88, 160, 160, 6, 0), ('dropout', 88, 160, 160, 6, 0), ('conv2d', 88, 160, 160, 6, 69784), ('batchnorm2d', 88, 160, 160, 6, 176), ('GELU', 88, 160, 160, 6, 0), ('dropout', 88, 160, 160, 6, 0), ('conv2d', 88, 160, 160, 6, 69784), ('batchn...
GELU
144,180,106
1,088,441
6
5,465
92.78125
0.903703
0.840109
0.37763
0.044182
16
16
16
1
1
SUCCESSFUL
1.74
8,250.06
4.15
8,255.95
input_channels:3_num_classes:266_depth:27_arch:gradual_base_filters:45_batch:18_input_size:204_act:leaky_relu_dropout:0.4045957776883944_dropout:False_batchnorm:False.out
27
[('conv2d', 45, 204, 204, 18, 1260), ('LeakyReLU', 45, 204, 204, 18, 0), ('conv2d', 48, 204, 204, 18, 19488), ('LeakyReLU', 48, 204, 204, 18, 0), ('conv2d', 51, 204, 204, 18, 22083), ('LeakyReLU', 51, 204, 204, 18, 0), ('conv2d', 55, 204, 204, 18, 25300), ('LeakyReLU', 55, 204, 204, 18, 0), ('conv2d', 59, 204, 204, 18,...
LeakyReLU
292,644,526
5,007,968
18
34,791
94.046875
0.909569
0.939418
0.388709
0.010148
27
0
0
1
1
SUCCESSFUL
8.64
60,282.9
19.1
60,310.64
input_channels:3_num_classes:64_depth:27_arch:hourglass_base_filters:73_batch:28_input_size:132_act:tanh_dropout:0.19820506340932098_dropout:False_batchnorm:True.out
27
[('conv2d', 73, 132, 132, 28, 2044), ('batchnorm2d', 73, 132, 132, 28, 146), ('Tanh', 73, 132, 132, 28, 0), ('conv2d', 94, 132, 132, 28, 61852), ('batchnorm2d', 94, 132, 132, 28, 188), ('Tanh', 94, 132, 132, 28, 0), ('conv2d', 121, 132, 132, 28, 102487), ('batchnorm2d', 121, 132, 132, 28, 242), ('Tanh', 121, 132, 132, ...
Tanh
736,355,865
115,070,336
28
39,857
37.5
0.196
0.183
0.048
0.005
27
27
0
1
1
OOM_CRASH
5.6
209,736.8
438.96
210,181.36
input_channels:1_num_classes:569_depth:17_arch:uniform_base_filters:76_batch:18_input_size:58_act:relu_dropout:0.3787026363395789_dropout:False_batchnorm:False.out
17
[('conv2d', 76, 58, 58, 18, 760), ('ReLU', 76, 58, 58, 18, 0), ('conv2d', 76, 58, 58, 18, 52060), ('ReLU', 76, 58, 58, 18, 0), ('conv2d', 76, 58, 58, 18, 52060), ('ReLU', 76, 58, 58, 18, 0), ('conv2d', 76, 58, 58, 18, 52060), ('ReLU', 76, 58, 58, 18, 0), ('conv2d', 76, 58, 58, 18, 52060), ('ReLU', 76, 58, 58, 18, 0), (...
ReLU
8,693,790
877,533
18
2,139
85.709677
0.821531
0.719038
0.26834
0.012593
17
0
0
1
1
SUCCESSFUL
0.18
1,790.82
3.35
1,794.35
input_channels:1_num_classes:298_depth:13_arch:hourglass_base_filters:34_batch:50_input_size:12_act:tanh_dropout:0.3137075955793065_dropout:False_batchnorm:True.out
13
[('conv2d', 34, 12, 12, 50, 340), ('batchnorm2d', 34, 12, 12, 50, 68), ('Tanh', 34, 12, 12, 50, 0), ('conv2d', 67, 12, 12, 50, 20569), ('batchnorm2d', 67, 12, 12, 50, 134), ('Tanh', 67, 12, 12, 50, 0), ('conv2d', 133, 12, 12, 50, 80332), ('batchnorm2d', 133, 12, 12, 50, 266), ('Tanh', 133, 12, 12, 50, 0), ('conv2d', 26...
Tanh
1,979,622
26,568,107
50
2,799
81.112903
0.796063
0.758179
0.222607
0.010875
13
13
0
1
1
SUCCESSFUL
0
1,007
101.35
1,108.35
input_channels:1_num_classes:735_depth:1_arch:residual_base_filters:124_batch:18_input_size:66_act:leaky_relu_dropout:0.438758167571182_dropout:False_batchnorm:False.out
0
[]
null
0
0
18
1,451
11.063492
0.090855
0.002927
0.001
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:874_depth:3_arch:hourglass_base_filters:28_batch:62_input_size:158_act:relu_dropout:0.296137617257492_dropout:False_batchnorm:False.out
3
[('conv2d', 28, 158, 158, 62, 280), ('ReLU', 28, 158, 158, 62, 0), ('conv2d', 239, 158, 158, 62, 60467), ('ReLU', 239, 158, 158, 62, 0), ('conv2d', 28, 158, 158, 62, 60256), ('ReLU', 28, 158, 158, 62, 0), ('adaptive_avg_pool2d', 0, 0, 28, 62, 0), ('linear', 0, 0, 874, 62, 25346), ('softmax', 0, 0, 874, 62, 0)]
ReLU
14,730,536
146,349
62
9,711
88.953125
0.883524
0.868868
0.476679
0.103596
3
0
0
1
1
SUCCESSFUL
6.2
10,451.34
0.56
10,458.1
input_channels:3_num_classes:966_depth:20_arch:hourglass_base_filters:20_batch:52_input_size:136_act:selu_dropout:0.3276082912305156_dropout:False_batchnorm:True.out
20
[('conv2d', 20, 136, 136, 52, 560), ('batchnorm2d', 20, 136, 136, 52, 40), ('SELU', 20, 136, 136, 52, 0), ('conv2d', 31, 136, 136, 52, 5611), ('batchnorm2d', 31, 136, 136, 52, 62), ('SELU', 31, 136, 136, 52, 0), ('conv2d', 50, 136, 136, 52, 14000), ('batchnorm2d', 50, 136, 136, 52, 100), ('SELU', 50, 136, 136, 52, 0), ...
SELU
381,870,368
46,126,611
52
35,673
-1
-1
-1
-1
-1
20
20
0
1
1
OOM_CRASH
10.92
201,998.16
175.96
202,185.04
input_channels:1_num_classes:597_depth:2_arch:bottleneck_base_filters:121_batch:4_input_size:20_act:relu_dropout:0.4026718582502008_dropout:False_batchnorm:False.out
2
[('conv2d', 242, 20, 20, 4, 2420), ('ReLU', 242, 20, 20, 4, 0), ('conv2d', 121, 20, 20, 4, 263659), ('ReLU', 121, 20, 20, 4, 0), ('adaptive_avg_pool2d', 0, 0, 121, 4, 0), ('linear', 0, 0, 597, 4, 72834), ('softmax', 0, 0, 597, 4, 0)]
ReLU
291,715
338,913
4
1,725
-1
-1
-1
-1
-1
2
0
0
1
1
SUCCESSFUL
0
13.32
1.29
14.61
input_channels:1_num_classes:517_depth:14_arch:bottleneck_base_filters:77_batch:12_input_size:128_act:prelu_dropout:0.17110017200928462_dropout:False_batchnorm:True.out
14
[('conv2d', 154, 128, 128, 12, 1540), ('batchnorm2d', 154, 128, 128, 12, 308), ('PReLU', 154, 128, 128, 12, 0), ('conv2d', 77, 128, 128, 12, 106799), ('batchnorm2d', 77, 128, 128, 12, 154), ('PReLU', 77, 128, 128, 12, 0), ('conv2d', 99, 128, 128, 12, 68706), ('batchnorm2d', 99, 128, 128, 12, 198), ('PReLU', 99, 128, 12...
PReLU
344,803,905
45,473,768
12
25,061
-1
-1
-1
-1
-1
14
14
0
1
1
SUCCESSFUL
0.72
42,090.24
173.47
42,264.43
input_channels:3_num_classes:159_depth:18_arch:gradual_base_filters:66_batch:54_input_size:106_act:relu_dropout:0.13672371364298527_dropout:True_batchnorm:True.out
18
[('conv2d', 66, 106, 106, 54, 1848), ('batchnorm2d', 66, 106, 106, 54, 132), ('ReLU', 66, 106, 106, 54, 0), ('dropout', 66, 106, 106, 54, 0), ('conv2d', 72, 106, 106, 54, 42840), ('batchnorm2d', 72, 106, 106, 54, 144), ('ReLU', 72, 106, 106, 54, 0), ('dropout', 72, 106, 106, 54, 0), ('conv2d', 79, 106, 106, 54, 51271),...
ReLU
135,012,428
5,094,942
54
32,103
92.476923
0.933462
0.9068
0.379927
0.018304
18
18
18
1
1
SUCCESSFUL
7.02
69,529.32
19.44
69,555.78
input_channels:1_num_classes:422_depth:18_arch:uniform_base_filters:51_batch:48_input_size:136_act:elu_dropout:0.3896944715009153_dropout:True_batchnorm:True.out
18
[('conv2d', 51, 136, 136, 48, 510), ('batchnorm2d', 51, 136, 136, 48, 102), ('ELU', 51, 136, 136, 48, 0), ('dropout', 51, 136, 136, 48, 0), ('conv2d', 51, 136, 136, 48, 23460), ('batchnorm2d', 51, 136, 136, 48, 102), ('ELU', 51, 136, 136, 48, 0), ('dropout', 51, 136, 136, 48, 0), ('conv2d', 51, 136, 136, 48, 23460), ('...
ELU
67,918,207
423,110
48
13,395
92.046875
0.92119
0.8176
0.440273
0.035571
18
18
18
1
1
SUCCESSFUL
3.36
31,090.56
1.61
31,095.53
input_channels:1_num_classes:533_depth:10_arch:uniform_base_filters:39_batch:48_input_size:58_act:tanh_dropout:0.3920415791072911_dropout:False_batchnorm:True.out
10
[('conv2d', 39, 58, 58, 48, 390), ('batchnorm2d', 39, 58, 58, 48, 78), ('Tanh', 39, 58, 58, 48, 0), ('conv2d', 39, 58, 58, 48, 13728), ('batchnorm2d', 39, 58, 58, 48, 78), ('Tanh', 39, 58, 58, 48, 0), ('conv2d', 39, 58, 58, 48, 13728), ('batchnorm2d', 39, 58, 58, 48, 78), ('Tanh', 39, 58, 58, 48, 0), ('conv2d', 39, 58,...
Tanh
3,936,985
146,042
48
2,389
83
0.788469
0.579754
0.216702
0.257576
10
10
0
1
1
SUCCESSFUL
0.48
1,922.4
0.56
1,923.44
input_channels:3_num_classes:176_depth:21_arch:uniform_base_filters:78_batch:52_input_size:144_act:swish_dropout:0.3188816457648753_dropout:True_batchnorm:True.out
21
[('conv2d', 78, 144, 144, 52, 2184), ('batchnorm2d', 78, 144, 144, 52, 156), ('SiLU', 78, 144, 144, 52, 0), ('dropout', 78, 144, 144, 52, 0), ('conv2d', 78, 144, 144, 52, 54834), ('batchnorm2d', 78, 144, 144, 52, 156), ('SiLU', 78, 144, 144, 52, 0), ('dropout', 78, 144, 144, 52, 0), ('conv2d', 78, 144, 144, 52, 54834),...
SiLU
135,862,702
1,116,044
52
26,641
94.046875
0.917246
0.892246
0.419368
0.035246
21
21
21
1
1
SUCCESSFUL
12.48
67,375.88
4.26
67,392.62
input_channels:3_num_classes:142_depth:28_arch:pyramid_base_filters:75_batch:14_input_size:76_act:tanh_dropout:0.47935259605065805_dropout:True_batchnorm:False.out
28
[('conv2d', 75, 76, 76, 14, 2100), ('Tanh', 75, 76, 76, 14, 0), ('dropout', 75, 76, 76, 14, 0), ('conv2d', 84, 76, 76, 14, 56784), ('Tanh', 84, 76, 76, 14, 0), ('dropout', 84, 76, 76, 14, 0), ('conv2d', 94, 76, 76, 14, 71158), ('Tanh', 94, 76, 76, 14, 0), ('dropout', 94, 76, 76, 14, 0), ('conv2d', 106, 76, 76, 14, 8978...
Tanh
272,450,247
125,804,516
14
23,595
94.25
0.921203
0.959911
0.222821
0.005204
28
0
28
1
1
SUCCESSFUL
0.98
38,801
479.91
39,281.89
input_channels:3_num_classes:723_depth:2_arch:residual_base_filters:61_batch:36_input_size:128_act:softplus_dropout:0.3258483707276706_dropout:False_batchnorm:True.out
3
[('conv2d', 61, 128, 128, 36, 244), ('batchnorm2d', 61, 128, 128, 36, 122), ('conv2d', 61, 128, 128, 36, 1708), ('batchnorm2d', 61, 128, 128, 36, 122), ('Softplus', 61, 128, 128, 36, 0), ('conv2d', 61, 128, 128, 36, 33550), ('batchnorm2d', 61, 128, 128, 36, 122), ('Softplus', 61, 128, 128, 36, 0), ('adaptive_avg_pool2d...
Softplus
7,996,899
80,694
36
3,645
-1
-1
-1
-1
-1
3
3
0
1
1
SUCCESSFUL
6.84
3,020.04
0.31
3,027.19
input_channels:1_num_classes:902_depth:7_arch:bottleneck_base_filters:102_batch:46_input_size:34_act:selu_dropout:0.3941757359210315_dropout:False_batchnorm:False.out
7
[('conv2d', 204, 34, 34, 46, 2040), ('SELU', 204, 34, 34, 46, 0), ('conv2d', 102, 34, 34, 46, 187374), ('SELU', 102, 34, 34, 46, 0), ('conv2d', 168, 34, 34, 46, 154392), ('SELU', 168, 34, 34, 46, 0), ('conv2d', 277, 34, 34, 46, 419101), ('SELU', 277, 34, 34, 46, 0), ('conv2d', 457, 34, 34, 46, 1139758), ('SELU', 457, 3...
SELU
7,408,382
14,539,969
46
4,951
90.125
0.90527
0.888466
0.259431
0.011309
7
0
0
1
1
SUCCESSFUL
0
3,899.42
55.47
3,954.89
input_channels:3_num_classes:594_depth:3_arch:residual_base_filters:67_batch:4_input_size:20_act:prelu_dropout:0.3589634745120943_dropout:False_batchnorm:True.out
3
[('conv2d', 67, 20, 20, 4, 268), ('batchnorm2d', 67, 20, 20, 4, 134), ('conv2d', 67, 20, 20, 4, 1876), ('batchnorm2d', 67, 20, 20, 4, 134), ('PReLU', 67, 20, 20, 4, 0), ('conv2d', 67, 20, 20, 4, 40468), ('batchnorm2d', 67, 20, 20, 4, 134), ('PReLU', 67, 20, 20, 4, 0), ('adaptive_avg_pool2d', 0, 0, 67, 4, 0), ('linear',...
PReLU
215,655
83,406
4
1,745
33.661538
0.338921
0.093981
0.02187
0.009255
3
3
0
1
1
SUCCESSFUL
0
9.04
0.32
9.36
input_channels:3_num_classes:271_depth:9_arch:dense_base_filters:23_batch:12_input_size:184_act:swish_dropout:0.15096306737781695_dropout:True_batchnorm:False.out
9
[('conv2d', 32, 184, 184, 12, 896), ('SiLU', 32, 184, 184, 12, 0), ('dropout', 32, 184, 184, 12, 0), ('conv2d', 32, 184, 184, 12, 10112), ('SiLU', 32, 184, 184, 12, 0), ('dropout', 32, 184, 184, 12, 0), ('conv2d', 32, 184, 184, 12, 19328), ('SiLU', 32, 184, 184, 12, 0), ('dropout', 32, 184, 184, 12, 0), ('conv2d', 32, ...
SiLU
20,652,895
250,338
12
4,031
88.625
0.892381
0.799782
0.412127
0.117018
9
0
8
1
1
SUCCESSFUL
4.68
3,244.56
0.95
3,250.19
input_channels:3_num_classes:928_depth:21_arch:uniform_base_filters:127_batch:6_input_size:164_act:swish_dropout:0.4021801308021954_dropout:False_batchnorm:True.out
21
[('conv2d', 127, 164, 164, 6, 3556), ('batchnorm2d', 127, 164, 164, 6, 254), ('SiLU', 127, 164, 164, 6, 0), ('conv2d', 127, 164, 164, 6, 145288), ('batchnorm2d', 127, 164, 164, 6, 254), ('SiLU', 127, 164, 164, 6, 0), ('conv2d', 127, 164, 164, 6, 145288), ('batchnorm2d', 127, 164, 164, 6, 254), ('SiLU', 127, 164, 164, 6...
SiLU
215,196,879
3,033,434
6
8,959
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
1.86
13,134.54
11.57
13,147.97
input_channels:3_num_classes:52_depth:20_arch:gradual_base_filters:125_batch:50_input_size:56_act:mish_dropout:0.34452622446629044_dropout:False_batchnorm:True.out
20
[('conv2d', 125, 56, 56, 50, 3500), ('batchnorm2d', 125, 56, 56, 50, 250), ('Mish', 125, 56, 56, 50, 0), ('conv2d', 134, 56, 56, 50, 150884), ('batchnorm2d', 134, 56, 56, 50, 268), ('Mish', 134, 56, 56, 50, 0), ('conv2d', 143, 56, 56, 50, 172601), ('batchnorm2d', 143, 56, 56, 50, 286), ('Mish', 143, 56, 56, 50, 0), ('c...
Mish
49,411,391
13,310,413
50
14,959
91.8
0.923
0.913327
0.33163
0.044036
20
20
0
1
1
SUCCESSFUL
2
25,132
50.78
25,184.78
input_channels:3_num_classes:274_depth:8_arch:dense_base_filters:111_batch:34_input_size:212_act:swish_dropout:0.3306524096341017_dropout:True_batchnorm:False.out
9
[('conv2d', 32, 212, 212, 34, 896), ('SiLU', 32, 212, 212, 34, 0), ('dropout', 32, 212, 212, 34, 0), ('conv2d', 32, 212, 212, 34, 10112), ('SiLU', 32, 212, 212, 34, 0), ('dropout', 32, 212, 212, 34, 0), ('conv2d', 32, 212, 212, 34, 19328), ('SiLU', 32, 212, 212, 34, 0), ('dropout', 32, 212, 212, 34, 0), ('conv2d', 32, ...
SiLU
27,416,581
250,920
34
9,981
-1
-1
-1
-1
-1
9
0
8
1
1
SUCCESSFUL
17.34
12,203.62
0.96
12,221.92
input_channels:3_num_classes:871_depth:18_arch:pyramid_base_filters:117_batch:58_input_size:52_act:leaky_relu_dropout:0.3963003389393065_dropout:False_batchnorm:True.out
18
[('conv2d', 117, 52, 52, 58, 3276), ('batchnorm2d', 117, 52, 52, 58, 234), ('LeakyReLU', 117, 52, 52, 58, 0), ('conv2d', 137, 52, 52, 58, 144398), ('batchnorm2d', 137, 52, 52, 58, 274), ('LeakyReLU', 137, 52, 52, 58, 0), ('conv2d', 160, 52, 52, 58, 197440), ('batchnorm2d', 160, 52, 52, 58, 320), ('LeakyReLU', 160, 52, ...
LeakyReLU
90,809,216
87,063,445
58
32,073
-1
-1
-1
-1
-1
18
18
0
1
1
SUCCESSFUL
1.74
53,577.5
332.12
53,911.36
input_channels:3_num_classes:457_depth:10_arch:bottleneck_base_filters:51_batch:22_input_size:190_act:softplus_dropout:0.1794823076161891_dropout:False_batchnorm:True.out
10
[('conv2d', 102, 190, 190, 22, 2856), ('batchnorm2d', 102, 190, 190, 22, 204), ('Softplus', 102, 190, 190, 22, 0), ('conv2d', 51, 190, 190, 22, 46869), ('batchnorm2d', 51, 190, 190, 22, 102), ('Softplus', 51, 190, 190, 22, 0), ('conv2d', 76, 190, 190, 22, 34960), ('batchnorm2d', 76, 190, 190, 22, 152), ('Softplus', 76,...
Softplus
436,884,472
20,318,037
22
39,147
16.166667
0.247167
0.410667
0.177333
0.943
10
10
0
1
1
OOM_CRASH
9.02
97,772.62
77.51
97,859.15
input_channels:3_num_classes:71_depth:11_arch:bottleneck_base_filters:89_batch:36_input_size:132_act:selu_dropout:0.19423710230454827_dropout:True_batchnorm:True.out
11
[('conv2d', 178, 132, 132, 36, 4984), ('batchnorm2d', 178, 132, 132, 36, 356), ('SELU', 178, 132, 132, 36, 0), ('dropout', 178, 132, 132, 36, 0), ('conv2d', 89, 132, 132, 36, 142667), ('batchnorm2d', 89, 132, 132, 36, 178), ('SELU', 89, 132, 132, 36, 0), ('dropout', 89, 132, 132, 36, 0), ('conv2d', 121, 132, 132, 36, 9...
SELU
382,772,070
31,739,421
36
39,827
-1
-1
-1
-1
-1
11
11
11
1
1
OOM_CRASH
7.2
131,414.4
121.08
131,542.68
input_channels:3_num_classes:692_depth:18_arch:residual_base_filters:55_batch:12_input_size:52_act:tanh_dropout:0.11368360587628193_dropout:False_batchnorm:False.out
18
[('conv2d', 55, 52, 52, 12, 220), ('conv2d', 55, 52, 52, 12, 1540), ('Tanh', 55, 52, 52, 12, 0), ('conv2d', 55, 52, 52, 12, 27280), ('Tanh', 55, 52, 52, 12, 0), ('conv2d', 67, 26, 26, 12, 3752), ('conv2d', 67, 26, 26, 12, 33232), ('Tanh', 67, 26, 26, 12, 0), ('conv2d', 67, 26, 26, 12, 40468), ('Tanh', 67, 26, 26, 12, 0...
Tanh
1,473,094
1,141,258
12
1,807
61.625
0.594556
0.311232
0.108839
0.031036
18
0
0
1
1
SUCCESSFUL
0.36
242.64
4.35
247.35
input_channels:1_num_classes:261_depth:28_arch:dense_base_filters:120_batch:8_input_size:138_act:prelu_dropout:0.4519886009398656_dropout:True_batchnorm:False.out
29
[('conv2d', 32, 138, 138, 8, 320), ('PReLU', 32, 138, 138, 8, 0), ('dropout', 32, 138, 138, 8, 0), ('conv2d', 32, 138, 138, 8, 9536), ('PReLU', 32, 138, 138, 8, 0), ('dropout', 32, 138, 138, 8, 0), ('conv2d', 32, 138, 138, 8, 18752), ('PReLU', 32, 138, 138, 8, 0), ('dropout', 32, 138, 138, 8, 0), ('conv2d', 32, 138, 13...
PReLU
20,721,226
3,269,061
8
4,807
91.461538
0.910094
0.832339
0.421786
0.119618
29
0
28
1
1
SUCCESSFUL
0.56
2,790.88
12.47
2,803.91
input_channels:3_num_classes:136_depth:5_arch:residual_base_filters:83_batch:36_input_size:108_act:softplus_dropout:0.39013723926763666_dropout:False_batchnorm:False.out
6
[('conv2d', 83, 108, 108, 36, 332), ('conv2d', 83, 108, 108, 36, 2324), ('Softplus', 83, 108, 108, 36, 0), ('conv2d', 83, 108, 108, 36, 62084), ('Softplus', 83, 108, 108, 36, 0), ('conv2d', 157, 54, 54, 36, 13188), ('conv2d', 157, 54, 54, 36, 117436), ('Softplus', 157, 54, 54, 36, 0), ('conv2d', 157, 54, 54, 36, 221998...
Softplus
7,130,049
438,850
36
3,599
83.190476
0.813109
0.719158
0.376193
0.071614
6
0
0
1
1
SUCCESSFUL
4.68
3,524.76
1.67
3,531.11
input_channels:1_num_classes:588_depth:2_arch:dense_base_filters:28_batch:40_input_size:150_act:prelu_dropout:0.38911940668660805_dropout:False_batchnorm:True.out
0
[]
null
0
0
40
1,451
7.762712
0.032206
0.002571
0.001
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:827_depth:11_arch:gradual_base_filters:43_batch:42_input_size:164_act:prelu_dropout:0.4784747866673248_dropout:True_batchnorm:True.out
11
[('conv2d', 43, 164, 164, 42, 1204), ('batchnorm2d', 43, 164, 164, 42, 86), ('PReLU', 43, 164, 164, 42, 0), ('dropout', 43, 164, 164, 42, 0), ('conv2d', 51, 164, 164, 42, 19788), ('batchnorm2d', 51, 164, 164, 42, 102), ('PReLU', 51, 164, 164, 42, 0), ('dropout', 51, 164, 164, 42, 0), ('conv2d', 61, 164, 164, 42, 28060)...
PReLU
141,690,030
1,733,880
42
35,577
94.546875
0.929683
0.930264
0.441302
0.023642
11
11
11
1
1
SUCCESSFUL
13.02
56,752.92
6.61
56,772.55
input_channels:1_num_classes:761_depth:22_arch:gradual_base_filters:117_batch:12_input_size:136_act:tanh_dropout:0.40732187177369517_dropout:True_batchnorm:True.out
22
[('conv2d', 117, 136, 136, 12, 1170), ('batchnorm2d', 117, 136, 136, 12, 234), ('Tanh', 117, 136, 136, 12, 0), ('dropout', 117, 136, 136, 12, 0), ('conv2d', 124, 136, 136, 12, 130696), ('batchnorm2d', 124, 136, 136, 12, 248), ('Tanh', 124, 136, 136, 12, 0), ('dropout', 124, 136, 136, 12, 0), ('conv2d', 133, 136, 136, 1...
Tanh
409,133,500
13,910,970
12
23,523
-1
-1
-1
-1
-1
22
22
22
1
1
SUCCESSFUL
0.84
46,821.6
53.07
46,875.51
input_channels:3_num_classes:289_depth:15_arch:dense_base_filters:80_batch:26_input_size:92_act:tanh_dropout:0.4328723026320609_dropout:True_batchnorm:False.out
13
[('conv2d', 32, 92, 92, 26, 896), ('Tanh', 32, 92, 92, 26, 0), ('dropout', 32, 92, 92, 26, 0), ('conv2d', 32, 92, 92, 26, 10112), ('Tanh', 32, 92, 92, 26, 0), ('dropout', 32, 92, 92, 26, 0), ('conv2d', 32, 92, 92, 26, 19328), ('Tanh', 32, 92, 92, 26, 0), ('dropout', 32, 92, 92, 26, 0), ('conv2d', 32, 92, 92, 26, 28544)...
Tanh
5,976,483
568,582
26
3,225
-1
-1
-1
-1
-1
13
0
12
1
1
SUCCESSFUL
2.6
2,107.3
2.17
2,112.07
input_channels:1_num_classes:564_depth:2_arch:pyramid_base_filters:97_batch:12_input_size:34_act:selu_dropout:0.13247640002735955_dropout:True_batchnorm:False.out
2
[('conv2d', 97, 34, 34, 12, 970), ('SELU', 97, 34, 34, 12, 0), ('dropout', 97, 34, 34, 12, 0), ('conv2d', 445, 34, 34, 12, 388930), ('SELU', 445, 34, 34, 12, 0), ('dropout', 445, 34, 34, 12, 0), ('adaptive_avg_pool2d', 0, 0, 445, 12, 0), ('linear', 0, 0, 564, 12, 251544), ('softmax', 0, 0, 564, 12, 0)]
SELU
1,881,229
641,444
12
1,883
61.859649
0.522844
0.400222
0.184704
0.016855
2
0
2
1
1
SUCCESSFUL
0
229.56
2.45
232.01
input_channels:1_num_classes:768_depth:21_arch:gradual_base_filters:60_batch:8_input_size:142_act:prelu_dropout:0.28311847255778044_dropout:False_batchnorm:True.out
21
[('conv2d', 60, 142, 142, 8, 600), ('batchnorm2d', 60, 142, 142, 8, 120), ('PReLU', 60, 142, 142, 8, 0), ('conv2d', 65, 142, 142, 8, 35165), ('batchnorm2d', 65, 142, 142, 8, 130), ('PReLU', 65, 142, 142, 8, 0), ('conv2d', 70, 142, 142, 8, 41020), ('batchnorm2d', 70, 142, 142, 8, 140), ('PReLU', 70, 142, 142, 8, 0), ('c...
PReLU
199,867,426
5,594,598
8
11,055
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
0.64
16,265.2
21.34
16,287.18
input_channels:1_num_classes:720_depth:16_arch:dense_base_filters:119_batch:62_input_size:146_act:prelu_dropout:0.3194615387907196_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 146, 146, 62, 320), ('PReLU', 32, 146, 146, 62, 0), ('conv2d', 32, 146, 146, 62, 9536), ('PReLU', 32, 146, 146, 62, 0), ('conv2d', 32, 146, 146, 62, 18752), ('PReLU', 32, 146, 146, 62, 0), ('conv2d', 32, 146, 146, 62, 27968), ('PReLU', 32, 146, 146, 62, 0), ('conv2d', 64, 146, 146, 62, 8320), ('ReLU', 6...
PReLU
12,279,904
1,218,000
62
13,873
91.892308
0.90425
0.87413
0.462222
0.139352
17
0
0
1
1
SUCCESSFUL
4.96
12,755.88
4.65
12,765.49
input_channels:3_num_classes:585_depth:12_arch:gradual_base_filters:106_batch:50_input_size:24_act:leaky_relu_dropout:0.3111784159578983_dropout:True_batchnorm:True.out
12
[('conv2d', 106, 24, 24, 50, 2968), ('batchnorm2d', 106, 24, 24, 50, 212), ('LeakyReLU', 106, 24, 24, 50, 0), ('dropout', 106, 24, 24, 50, 0), ('conv2d', 119, 24, 24, 50, 113645), ('batchnorm2d', 119, 24, 24, 50, 238), ('LeakyReLU', 119, 24, 24, 50, 0), ('dropout', 119, 24, 24, 50, 0), ('conv2d', 135, 24, 24, 50, 14472...
LeakyReLU
6,303,021
5,992,656
50
3,211
-1
-1
-1
-1
-1
12
12
12
1
1
SUCCESSFUL
0.5
3,005.5
22.86
3,028.86
input_channels:3_num_classes:461_depth:20_arch:uniform_base_filters:74_batch:52_input_size:122_act:tanh_dropout:0.3974786599396113_dropout:True_batchnorm:True.out
20
[('conv2d', 74, 122, 122, 52, 2072), ('batchnorm2d', 74, 122, 122, 52, 148), ('Tanh', 74, 122, 122, 52, 0), ('dropout', 74, 122, 122, 52, 0), ('conv2d', 74, 122, 122, 52, 49358), ('batchnorm2d', 74, 122, 122, 52, 148), ('Tanh', 74, 122, 122, 52, 0), ('dropout', 74, 122, 122, 52, 0), ('conv2d', 74, 122, 122, 52, 49358),...
Tanh
88,114,276
977,409
52
18,375
-1
-1
-1
-1
-1
20
20
20
1
1
SUCCESSFUL
8.84
43,696.64
3.73
43,709.21
input_channels:1_num_classes:134_depth:5_arch:bottleneck_base_filters:65_batch:24_input_size:150_act:relu_dropout:0.36952853213357684_dropout:False_batchnorm:True.out
5
[('conv2d', 130, 150, 150, 24, 1300), ('batchnorm2d', 130, 150, 150, 24, 260), ('ReLU', 130, 150, 150, 24, 0), ('conv2d', 65, 150, 150, 24, 76115), ('batchnorm2d', 65, 150, 150, 24, 130), ('ReLU', 65, 150, 150, 24, 0), ('conv2d', 153, 150, 150, 24, 89658), ('batchnorm2d', 153, 150, 150, 24, 306), ('ReLU', 153, 150, 150...
ReLU
106,381,132
3,619,055
24
19,909
95.53125
0.931406
0.948339
0.338071
0.015431
5
5
0
1
1
SUCCESSFUL
2.16
25,971.84
13.81
25,987.81
input_channels:3_num_classes:863_depth:12_arch:pyramid_base_filters:84_batch:10_input_size:190_act:softplus_dropout:0.1065895958993651_dropout:False_batchnorm:True.out
12
[('conv2d', 84, 190, 190, 10, 2352), ('batchnorm2d', 84, 190, 190, 10, 168), ('Softplus', 84, 190, 190, 10, 0), ('conv2d', 109, 190, 190, 10, 82513), ('batchnorm2d', 109, 190, 190, 10, 218), ('Softplus', 109, 190, 190, 10, 0), ('conv2d', 143, 190, 190, 10, 140426), ('batchnorm2d', 143, 190, 190, 10, 286), ('Softplus', ...
Softplus
696,913,795
42,361,889
10
38,921
94.298507
0.917258
0.914807
0.2228
0.013304
12
12
0
1
1
SUCCESSFUL
4.1
70,893.7
161.6
71,059.4
input_channels:1_num_classes:319_depth:23_arch:residual_base_filters:20_batch:4_input_size:118_act:elu_dropout:0.1355058791925346_dropout:True_batchnorm:False.out
24
[('conv2d', 20, 118, 118, 4, 40), ('conv2d', 20, 118, 118, 4, 200), ('ELU', 20, 118, 118, 4, 0), ('dropout', 20, 118, 118, 4, 0), ('conv2d', 20, 118, 118, 4, 3620), ('ELU', 20, 118, 118, 4, 0), ('dropout', 20, 118, 118, 4, 0), ('conv2d', 24, 59, 59, 4, 504), ('conv2d', 24, 59, 59, 4, 4344), ('ELU', 24, 59, 59, 4, 0), (...
ELU
3,970,818
348,258
4
1,775
44.609375
0.412369
0.17675
0.048339
0.025719
24
0
16
1
1
SUCCESSFUL
0.2
190.4
1.33
191.93
input_channels:1_num_classes:161_depth:16_arch:bottleneck_base_filters:29_batch:14_input_size:206_act:prelu_dropout:0.13261116737089132_dropout:True_batchnorm:True.out
16
[('conv2d', 58, 206, 206, 14, 580), ('batchnorm2d', 58, 206, 206, 14, 116), ('PReLU', 58, 206, 206, 14, 0), ('dropout', 58, 206, 206, 14, 0), ('conv2d', 29, 206, 206, 14, 15167), ('batchnorm2d', 29, 206, 206, 14, 58), ('PReLU', 29, 206, 206, 14, 0), ('dropout', 29, 206, 206, 14, 0), ('conv2d', 38, 206, 206, 14, 9956), ...
PReLU
1,052,923,895
37,416,747
14
38,539
-1
-1
-1
-1
-1
16
16
16
1
1
OOM_CRASH
2.24
140,580.44
142.73
140,725.41
input_channels:1_num_classes:487_depth:9_arch:pyramid_base_filters:66_batch:54_input_size:46_act:elu_dropout:0.11990562836990884_dropout:False_batchnorm:True.out
9
[('conv2d', 66, 46, 46, 54, 660), ('batchnorm2d', 66, 46, 46, 54, 132), ('ELU', 66, 46, 46, 54, 0), ('conv2d', 96, 46, 46, 54, 57120), ('batchnorm2d', 96, 46, 46, 54, 192), ('ELU', 96, 46, 46, 54, 0), ('conv2d', 141, 46, 46, 54, 121965), ('batchnorm2d', 141, 46, 46, 54, 282), ('ELU', 141, 46, 46, 54, 0), ('conv2d', 207...
ELU
27,044,852
23,105,605
54
11,327
-1
-1
-1
-1
-1
9
9
0
1
1
SUCCESSFUL
0.54
14,855.94
88.14
14,944.62
input_channels:1_num_classes:37_depth:20_arch:residual_base_filters:98_batch:12_input_size:48_act:selu_dropout:0.4431941875912945_dropout:False_batchnorm:False.out
18
[('conv2d', 98, 48, 48, 12, 196), ('conv2d', 98, 48, 48, 12, 980), ('SELU', 98, 48, 48, 12, 0), ('conv2d', 98, 48, 48, 12, 86534), ('SELU', 98, 48, 48, 12, 0), ('conv2d', 114, 24, 24, 12, 11286), ('conv2d', 114, 24, 24, 12, 100662), ('SELU', 114, 24, 24, 12, 0), ('conv2d', 114, 24, 24, 12, 117078), ('SELU', 114, 24, 24...
SELU
2,115,103
2,381,816
12
1,899
68.15625
0.655719
0.421037
0.149519
0.015926
18
0
0
1
1
SUCCESSFUL
0.12
348.48
9.09
357.69
input_channels:3_num_classes:192_depth:14_arch:gradual_base_filters:117_batch:54_input_size:164_act:prelu_dropout:0.4710447434293966_dropout:False_batchnorm:True.out
14
[('conv2d', 117, 164, 164, 54, 3276), ('batchnorm2d', 117, 164, 164, 54, 234), ('PReLU', 117, 164, 164, 54, 0), ('conv2d', 129, 164, 164, 54, 135966), ('batchnorm2d', 129, 164, 164, 54, 258), ('PReLU', 129, 164, 164, 54, 0), ('conv2d', 143, 164, 164, 54, 166166), ('batchnorm2d', 143, 164, 164, 54, 286), ('PReLU', 143, ...
PReLU
278,777,865
8,054,469
54
39,557
16.6
0.0935
0.001
0
0.006
14
14
0
1
1
OOM_CRASH
16.74
153,136.98
30.73
153,184.45
input_channels:1_num_classes:157_depth:22_arch:uniform_base_filters:49_batch:16_input_size:138_act:gelu_dropout:0.20114669845975489_dropout:False_batchnorm:True.out
22
[('conv2d', 49, 138, 138, 16, 490), ('batchnorm2d', 49, 138, 138, 16, 98), ('GELU', 49, 138, 138, 16, 0), ('conv2d', 49, 138, 138, 16, 21658), ('batchnorm2d', 49, 138, 138, 16, 98), ('GELU', 49, 138, 138, 16, 0), ('conv2d', 49, 138, 138, 16, 21658), ('batchnorm2d', 49, 138, 138, 16, 98), ('GELU', 49, 138, 138, 16, 0), ...
GELU
61,588,659
465,314
16
6,565
90.640625
0.922667
0.767333
0.389019
0.036418
22
22
0
1
1
SUCCESSFUL
1.12
10,024.16
1.78
10,027.06
input_channels:1_num_classes:287_depth:7_arch:residual_base_filters:29_batch:38_input_size:130_act:prelu_dropout:0.30984760972175385_dropout:True_batchnorm:True.out
9
[('conv2d', 29, 130, 130, 38, 58), ('batchnorm2d', 29, 130, 130, 38, 58), ('conv2d', 29, 130, 130, 38, 290), ('batchnorm2d', 29, 130, 130, 38, 58), ('PReLU', 29, 130, 130, 38, 0), ('dropout', 29, 130, 130, 38, 0), ('conv2d', 29, 130, 130, 38, 7598), ('batchnorm2d', 29, 130, 130, 38, 58), ('PReLU', 29, 130, 130, 38, 0),...
PReLU
11,239,171
214,338
38
3,603
87.84375
0.858016
0.659702
0.341579
0.066554
9
9
6
1
1
SUCCESSFUL
2.28
4,235.86
0.82
4,238.96
input_channels:3_num_classes:814_depth:12_arch:bottleneck_base_filters:50_batch:48_input_size:66_act:tanh_dropout:0.3777900274968632_dropout:True_batchnorm:False.out
12
[('conv2d', 100, 66, 66, 48, 2800), ('Tanh', 100, 66, 66, 48, 0), ('dropout', 100, 66, 66, 48, 0), ('conv2d', 50, 66, 66, 48, 45050), ('Tanh', 50, 66, 66, 48, 0), ('dropout', 50, 66, 66, 48, 0), ('conv2d', 70, 66, 66, 48, 31570), ('Tanh', 70, 66, 66, 48, 0), ('dropout', 70, 66, 66, 48, 0), ('conv2d', 98, 66, 66, 48, 61...
Tanh
66,283,985
29,109,180
48
16,479
92.84375
0.919123
0.947965
0.244368
0.006182
12
0
12
1
1
SUCCESSFUL
2.4
32,364.96
111.04
32,478.4
input_channels:3_num_classes:389_depth:19_arch:gradual_base_filters:116_batch:20_input_size:14_act:softplus_dropout:0.11314847535977575_dropout:True_batchnorm:False.out
19
[('conv2d', 116, 14, 14, 20, 3248), ('Softplus', 116, 14, 14, 20, 0), ('dropout', 116, 14, 14, 20, 0), ('conv2d', 125, 14, 14, 20, 130625), ('Softplus', 125, 14, 14, 20, 0), ('dropout', 125, 14, 14, 20, 0), ('conv2d', 134, 14, 14, 20, 150884), ('Softplus', 134, 14, 14, 20, 0), ('dropout', 134, 14, 14, 20, 0), ('conv2d'...
Softplus
2,778,353
11,498,465
20
2,113
-1
-1
-1
-1
-1
19
0
19
1
1
SUCCESSFUL
0
565.2
43.86
609.06
input_channels:1_num_classes:401_depth:3_arch:bottleneck_base_filters:107_batch:40_input_size:140_act:elu_dropout:0.25169866369237326_dropout:True_batchnorm:True.out
3
[('conv2d', 214, 140, 140, 40, 2140), ('batchnorm2d', 214, 140, 140, 40, 428), ('ELU', 214, 140, 140, 40, 0), ('dropout', 214, 140, 140, 40, 0), ('conv2d', 107, 140, 140, 40, 206189), ('batchnorm2d', 107, 140, 140, 40, 214), ('ELU', 107, 140, 140, 40, 0), ('dropout', 107, 140, 140, 40, 0), ('conv2d', 468, 140, 140, 40,...
ELU
61,858,870
849,128
40
15,651
93.111111
0.903516
0.918132
0.465415
0.053566
3
3
3
1
1
SUCCESSFUL
2.8
23,597.2
3.24
23,603.24
input_channels:1_num_classes:820_depth:20_arch:residual_base_filters:46_batch:36_input_size:132_act:selu_dropout:0.21764590511838292_dropout:False_batchnorm:False.out
30
[('conv2d', 46, 132, 132, 36, 92), ('conv2d', 46, 132, 132, 36, 460), ('SELU', 46, 132, 132, 36, 0), ('conv2d', 46, 132, 132, 36, 19090), ('SELU', 46, 132, 132, 36, 0), ('conv2d', 55, 66, 66, 36, 2585), ('conv2d', 55, 66, 66, 36, 22825), ('SELU', 55, 66, 66, 36, 0), ('conv2d', 55, 66, 66, 36, 27280), ('SELU', 55, 66, 6...
SELU
8,204,708
3,610,462
36
3,869
90.968254
0.839656
0.75187
0.383963
0.088453
30
0
0
1
1
SUCCESSFUL
2.52
4,055.76
13.77
4,072.05
input_channels:1_num_classes:640_depth:26_arch:uniform_base_filters:45_batch:18_input_size:164_act:selu_dropout:0.41801162069076603_dropout:True_batchnorm:False.out
26
[('conv2d', 45, 164, 164, 18, 450), ('SELU', 45, 164, 164, 18, 0), ('dropout', 45, 164, 164, 18, 0), ('conv2d', 45, 164, 164, 18, 18270), ('SELU', 45, 164, 164, 18, 0), ('dropout', 45, 164, 164, 18, 0), ('conv2d', 45, 164, 164, 18, 18270), ('SELU', 45, 164, 164, 18, 0), ('dropout', 45, 164, 164, 18, 0), ('conv2d', 45, ...
SELU
94,406,285
486,640
18
7,961
-1
-1
-1
-1
-1
26
0
26
1
1
SUCCESSFUL
1.8
17,286.3
1.86
17,289.96
input_channels:1_num_classes:458_depth:25_arch:residual_base_filters:66_batch:38_input_size:150_act:swish_dropout:0.2670191159503892_dropout:True_batchnorm:True.out
30
[('conv2d', 66, 150, 150, 38, 132), ('batchnorm2d', 66, 150, 150, 38, 132), ('conv2d', 66, 150, 150, 38, 660), ('batchnorm2d', 66, 150, 150, 38, 132), ('SiLU', 66, 150, 150, 38, 0), ('dropout', 66, 150, 150, 38, 0), ('conv2d', 66, 150, 150, 38, 39270), ('batchnorm2d', 66, 150, 150, 38, 132), ('SiLU', 66, 150, 150, 38, ...
SiLU
28,424,273
3,624,174
38
6,721
92.539683
0.901937
0.826426
0.3945
0.054893
30
30
20
1
1
SUCCESSFUL
3.42
10,712.96
13.83
10,730.21
input_channels:3_num_classes:203_depth:5_arch:uniform_base_filters:49_batch:10_input_size:20_act:leaky_relu_dropout:0.11251647163947012_dropout:True_batchnorm:True.out
5
[('conv2d', 49, 20, 20, 10, 1372), ('batchnorm2d', 49, 20, 20, 10, 98), ('LeakyReLU', 49, 20, 20, 10, 0), ('dropout', 49, 20, 20, 10, 0), ('conv2d', 49, 20, 20, 10, 21658), ('batchnorm2d', 49, 20, 20, 10, 98), ('LeakyReLU', 49, 20, 20, 10, 0), ('dropout', 49, 20, 20, 10, 0), ('conv2d', 49, 20, 20, 10, 21658), ('batchno...
LeakyReLU
392,455
98,644
10
1,757
33.375
0.310891
0.102236
0.033891
0.00187
5
5
5
1
1
SUCCESSFUL
0
37.4
0.38
37.78
input_channels:1_num_classes:78_depth:1_arch:bottleneck_base_filters:58_batch:22_input_size:138_act:selu_dropout:0.33136843759088985_dropout:False_batchnorm:True.out
1
[('conv2d', 116, 138, 138, 22, 1160), ('batchnorm2d', 116, 138, 138, 22, 232), ('SELU', 116, 138, 138, 22, 0), ('adaptive_avg_pool2d', 0, 0, 116, 22, 0), ('linear', 0, 0, 78, 22, 9126), ('softmax', 0, 0, 78, 22, 0)]
SELU
6,627,584
10,518
22
2,713
62.968254
0.670625
0.641446
0.361393
0.067661
1
1
0
1
1
SUCCESSFUL
1.54
1,483.24
0.04
1,484.82
input_channels:1_num_classes:892_depth:27_arch:residual_base_filters:80_batch:62_input_size:106_act:tanh_dropout:0.46374785715918454_dropout:True_batchnorm:True.out
24
[('conv2d', 80, 106, 106, 62, 160), ('batchnorm2d', 80, 106, 106, 62, 160), ('conv2d', 80, 106, 106, 62, 800), ('batchnorm2d', 80, 106, 106, 62, 160), ('Tanh', 80, 106, 106, 62, 0), ('dropout', 80, 106, 106, 62, 0), ('conv2d', 80, 106, 106, 62, 57680), ('batchnorm2d', 80, 106, 106, 62, 160), ('Tanh', 80, 106, 106, 62, ...
Tanh
16,823,719
2,557,490
62
6,747
-1
-1
-1
-1
-1
24
24
16
1
1
SUCCESSFUL
2.48
10,345.32
9.76
10,357.56
input_channels:3_num_classes:459_depth:15_arch:gradual_base_filters:85_batch:18_input_size:62_act:elu_dropout:0.14393339681268613_dropout:True_batchnorm:True.out
15
[('conv2d', 85, 62, 62, 18, 2380), ('batchnorm2d', 85, 62, 62, 18, 170), ('ELU', 85, 62, 62, 18, 0), ('dropout', 85, 62, 62, 18, 0), ('conv2d', 94, 62, 62, 18, 72004), ('batchnorm2d', 94, 62, 62, 18, 188), ('ELU', 94, 62, 62, 18, 0), ('dropout', 94, 62, 62, 18, 0), ('conv2d', 105, 62, 62, 18, 88935), ('batchnorm2d', 10...
ELU
45,529,629
5,811,876
18
5,875
90.276923
0.892892
0.882491
0.349127
0.0304
15
15
15
1
1
SUCCESSFUL
0.72
7,815.6
22.17
7,838.49
input_channels:3_num_classes:198_depth:16_arch:pyramid_base_filters:27_batch:44_input_size:64_act:leaky_relu_dropout:0.3359117595879366_dropout:True_batchnorm:False.out
16
[('conv2d', 27, 64, 64, 44, 756), ('LeakyReLU', 27, 64, 64, 44, 0), ('dropout', 27, 64, 64, 44, 0), ('conv2d', 35, 64, 64, 44, 8540), ('LeakyReLU', 35, 64, 64, 44, 0), ('dropout', 35, 64, 64, 44, 0), ('conv2d', 46, 64, 64, 44, 14536), ('LeakyReLU', 46, 64, 64, 44, 0), ('dropout', 46, 64, 64, 44, 0), ('conv2d', 60, 64, ...
LeakyReLU
79,837,094
40,371,029
44
18,255
95.349206
0.938476
0.97
0.239731
0.006736
16
0
16
1
1
SUCCESSFUL
2.2
35,734.16
154
35,890.36
input_channels:1_num_classes:837_depth:11_arch:dense_base_filters:61_batch:54_input_size:224_act:softplus_dropout:0.2688645743249678_dropout:True_batchnorm:False.out
9
[('conv2d', 32, 224, 224, 54, 320), ('Softplus', 32, 224, 224, 54, 0), ('dropout', 32, 224, 224, 54, 0), ('conv2d', 32, 224, 224, 54, 9536), ('Softplus', 32, 224, 224, 54, 0), ('dropout', 32, 224, 224, 54, 0), ('conv2d', 32, 224, 224, 54, 18752), ('Softplus', 32, 224, 224, 54, 0), ('dropout', 32, 224, 224, 54, 0), ('co...
Softplus
30,508,874
355,589
54
16,369
91.138462
0.907266
0.852407
0.463037
0.131926
9
0
8
1
1
SUCCESSFUL
10.26
21,520.08
1.36
21,531.7
input_channels:3_num_classes:156_depth:5_arch:residual_base_filters:43_batch:24_input_size:154_act:elu_dropout:0.45972816590711096_dropout:False_batchnorm:False.out
6
[('conv2d', 43, 154, 154, 24, 172), ('conv2d', 43, 154, 154, 24, 1204), ('ELU', 43, 154, 154, 24, 0), ('conv2d', 43, 154, 154, 24, 16684), ('ELU', 43, 154, 154, 24, 0), ('conv2d', 93, 77, 77, 24, 4092), ('conv2d', 93, 77, 77, 24, 36084), ('ELU', 93, 77, 77, 24, 0), ('conv2d', 93, 77, 77, 24, 77934), ('ELU', 93, 77, 77,...
ELU
7,856,330
150,834
24
3,145
81.742424
0.805831
0.737719
0.424263
0.090357
6
0
0
1
1
SUCCESSFUL
6.48
2,589.36
0.58
2,596.42
input_channels:3_num_classes:123_depth:26_arch:bottleneck_base_filters:46_batch:14_input_size:10_act:relu_dropout:0.21487620257491413_dropout:True_batchnorm:True.out
26
[('conv2d', 92, 10, 10, 14, 2576), ('batchnorm2d', 92, 10, 10, 14, 184), ('ReLU', 92, 10, 10, 14, 0), ('dropout', 92, 10, 10, 14, 0), ('conv2d', 46, 10, 10, 14, 38134), ('batchnorm2d', 46, 10, 10, 14, 92), ('ReLU', 46, 10, 10, 14, 0), ('dropout', 46, 10, 10, 14, 0), ('conv2d', 53, 10, 10, 14, 21995), ('batchnorm2d', 53...
ReLU
4,917,605
91,513,923
14
3,853
83.421875
0.8115
0.711214
0.329232
0.014161
26
26
26
1
1
SUCCESSFUL
0
656.46
349.1
1,005.56
input_channels:1_num_classes:341_depth:27_arch:pyramid_base_filters:60_batch:50_input_size:194_act:mish_dropout:0.32591150781310807_dropout:True_batchnorm:False.out
27
[('conv2d', 60, 194, 194, 50, 600), ('Mish', 60, 194, 194, 50, 0), ('dropout', 60, 194, 194, 50, 0), ('conv2d', 68, 194, 194, 50, 36788), ('Mish', 68, 194, 194, 50, 0), ('dropout', 68, 194, 194, 50, 0), ('conv2d', 77, 194, 194, 50, 47201), ('Mish', 77, 194, 194, 50, 0), ('dropout', 77, 194, 194, 50, 0), ('conv2d', 88, ...
Mish
1,605,328,422
111,194,470
50
38,711
-1
-1
-1
-1
-1
27
0
27
1
1
OOM_CRASH
7
816,512
424.17
816,943.17
input_channels:1_num_classes:367_depth:22_arch:gradual_base_filters:101_batch:30_input_size:38_act:gelu_dropout:0.31637924786741334_dropout:True_batchnorm:True.out
22
[('conv2d', 101, 38, 38, 30, 1010), ('batchnorm2d', 101, 38, 38, 30, 202), ('GELU', 101, 38, 38, 30, 0), ('dropout', 101, 38, 38, 30, 0), ('conv2d', 108, 38, 38, 30, 98280), ('batchnorm2d', 108, 38, 38, 30, 216), ('GELU', 108, 38, 38, 30, 0), ('dropout', 108, 38, 38, 30, 0), ('conv2d', 115, 38, 38, 30, 111895), ('batch...
GELU
28,811,846
11,318,780
30
5,467
91
0.908556
0.856685
0.320815
0.027963
22
22
22
1
1
SUCCESSFUL
0.3
8,243.1
43.18
8,286.58
input_channels:1_num_classes:432_depth:16_arch:dense_base_filters:72_batch:62_input_size:68_act:mish_dropout:0.17722220644298683_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 68, 68, 62, 320), ('Mish', 32, 68, 68, 62, 0), ('dropout', 32, 68, 68, 62, 0), ('conv2d', 32, 68, 68, 62, 9536), ('Mish', 32, 68, 68, 62, 0), ('dropout', 32, 68, 68, 62, 0), ('conv2d', 32, 68, 68, 62, 18752), ('Mish', 32, 68, 68, 62, 0), ('dropout', 32, 68, 68, 62, 0), ('conv2d', 32, 68, 68, 62, 27968),...
Mish
3,700,512
1,088,688
62
4,251
86.095238
0.832262
0.752737
0.38307
0.150411
17
0
16
1
1
SUCCESSFUL
1.24
3,257.48
4.15
3,262.87
input_channels:3_num_classes:505_depth:27_arch:uniform_base_filters:51_batch:16_input_size:80_act:prelu_dropout:0.12106494784394806_dropout:True_batchnorm:False.out
27
[('conv2d', 51, 80, 80, 16, 1428), ('PReLU', 51, 80, 80, 16, 0), ('dropout', 51, 80, 80, 16, 0), ('conv2d', 51, 80, 80, 16, 23460), ('PReLU', 51, 80, 80, 16, 0), ('dropout', 51, 80, 80, 16, 0), ('conv2d', 51, 80, 80, 16, 23460), ('PReLU', 51, 80, 80, 16, 0), ('dropout', 51, 80, 80, 16, 0), ('conv2d', 51, 80, 80, 16, 23...
PReLU
26,439,461
637,648
16
3,119
90.707692
0.889047
0.792679
0.421857
0.014981
27
0
27
1
1
SUCCESSFUL
1.12
4,303.2
2.43
4,306.75
input_channels:3_num_classes:927_depth:28_arch:uniform_base_filters:88_batch:2_input_size:88_act:mish_dropout:0.38527125244350624_dropout:False_batchnorm:True.out
28
[('conv2d', 88, 88, 88, 2, 2464), ('batchnorm2d', 88, 88, 88, 2, 176), ('Mish', 88, 88, 88, 2, 0), ('conv2d', 88, 88, 88, 2, 69784), ('batchnorm2d', 88, 88, 88, 2, 176), ('Mish', 88, 88, 88, 2, 0), ('conv2d', 88, 88, 88, 2, 69784), ('batchnorm2d', 88, 88, 88, 2, 176), ('Mish', 88, 88, 88, 2, 0), ('conv2d', 88, 88, 88, ...
Mish
57,245,590
1,974,063
2
2,341
-1
-1
-1
-1
-1
28
28
0
1
1
SUCCESSFUL
0.18
1,164.66
7.53
1,172.37
input_channels:3_num_classes:906_depth:13_arch:pyramid_base_filters:113_batch:8_input_size:218_act:softplus_dropout:0.23392659547956987_dropout:False_batchnorm:False.out
13
[('conv2d', 113, 218, 218, 8, 3164), ('Softplus', 113, 218, 218, 8, 0), ('conv2d', 141, 218, 218, 8, 143538), ('Softplus', 141, 218, 218, 8, 0), ('conv2d', 176, 218, 218, 8, 223520), ('Softplus', 176, 218, 218, 8, 0), ('conv2d', 220, 218, 218, 8, 348700), ('Softplus', 220, 218, 218, 8, 0), ('conv2d', 275, 218, 218, 8, ...
Softplus
736,150,210
54,963,281
8
37,151
-1
-1
-1
-1
-1
13
0
0
1
1
SUCCESSFUL
4.32
67,396.48
209.67
67,610.47
input_channels:1_num_classes:405_depth:16_arch:pyramid_base_filters:59_batch:26_input_size:40_act:selu_dropout:0.4374559138139704_dropout:False_batchnorm:True.out
16
[('conv2d', 59, 40, 40, 26, 590), ('batchnorm2d', 59, 40, 40, 26, 118), ('SELU', 59, 40, 40, 26, 0), ('conv2d', 73, 40, 40, 26, 38836), ('batchnorm2d', 73, 40, 40, 26, 146), ('SELU', 73, 40, 40, 26, 0), ('conv2d', 91, 40, 40, 26, 59878), ('batchnorm2d', 91, 40, 40, 26, 182), ('SELU', 91, 40, 40, 26, 0), ('conv2d', 114,...
SELU
38,426,450
54,745,122
26
8,703
93.212121
0.905591
0.947236
0.233164
0.03807
16
16
0
1
1
SUCCESSFUL
0.26
10,163.14
208.84
10,372.24
input_channels:1_num_classes:548_depth:20_arch:pyramid_base_filters:21_batch:36_input_size:192_act:selu_dropout:0.2729453699322127_dropout:False_batchnorm:False.out
20
[('conv2d', 21, 192, 192, 36, 210), ('SELU', 21, 192, 192, 36, 0), ('conv2d', 26, 192, 192, 36, 4940), ('SELU', 26, 192, 192, 36, 0), ('conv2d', 33, 192, 192, 36, 7755), ('SELU', 33, 192, 192, 36, 0), ('conv2d', 41, 192, 192, 36, 12218), ('SELU', 41, 192, 192, 36, 0), ('conv2d', 52, 192, 192, 36, 19240), ('SELU', 52, 1...
SELU
579,947,172
52,508,817
36
39,131
-1
-1
-1
-1
-1
20
0
0
1
1
OOM_CRASH
5.04
238,930.56
200.31
239,135.91
input_channels:1_num_classes:692_depth:21_arch:pyramid_base_filters:65_batch:36_input_size:164_act:selu_dropout:0.2147285858316563_dropout:False_batchnorm:False.out
21
[('conv2d', 65, 164, 164, 36, 650), ('SELU', 65, 164, 164, 36, 0), ('conv2d', 76, 164, 164, 36, 44536), ('SELU', 76, 164, 164, 36, 0), ('conv2d', 90, 164, 164, 36, 61650), ('SELU', 90, 164, 164, 36, 0), ('conv2d', 106, 164, 164, 36, 85966), ('SELU', 106, 164, 164, 36, 0), ('conv2d', 125, 164, 164, 36, 119375), ('SELU',...
SELU
596,932,945
83,362,148
36
39,461
6
0.0944
0.215
0.055
0.01
21
0
0
1
1
OOM_CRASH
3.6
245,928.24
318
246,249.84
input_channels:3_num_classes:72_depth:5_arch:residual_base_filters:78_batch:22_input_size:140_act:leaky_relu_dropout:0.4924586690388989_dropout:False_batchnorm:False.out
6
[('conv2d', 78, 140, 140, 22, 312), ('conv2d', 78, 140, 140, 22, 2184), ('LeakyReLU', 78, 140, 140, 22, 0), ('conv2d', 78, 140, 140, 22, 54834), ('LeakyReLU', 78, 140, 140, 22, 0), ('conv2d', 149, 70, 70, 22, 11771), ('conv2d', 149, 70, 70, 22, 104747), ('LeakyReLU', 149, 70, 70, 22, 0), ('conv2d', 149, 70, 70, 22, 199...
LeakyReLU
11,294,793
384,606
22
3,435
-1
-1
-1
-1
-1
6
0
0
1
1
SUCCESSFUL
4.84
3,412.42
1.47
3,418.73
input_channels:3_num_classes:762_depth:27_arch:residual_base_filters:56_batch:18_input_size:216_act:elu_dropout:0.15990108231518516_dropout:False_batchnorm:True.out
30
[('conv2d', 56, 216, 216, 18, 224), ('batchnorm2d', 56, 216, 216, 18, 112), ('conv2d', 56, 216, 216, 18, 1568), ('batchnorm2d', 56, 216, 216, 18, 112), ('ELU', 56, 216, 216, 18, 0), ('conv2d', 56, 216, 216, 18, 28280), ('batchnorm2d', 56, 216, 216, 18, 112), ('ELU', 56, 216, 216, 18, 0), ('conv2d', 63, 108, 108, 18, 35...
ELU
39,654,461
2,544,622
18
5,913
-1
-1
-1
-1
-1
30
30
0
1
1
SUCCESSFUL
9.54
7,487.82
9.71
7,507.07
input_channels:3_num_classes:435_depth:26_arch:gradual_base_filters:72_batch:28_input_size:162_act:relu_dropout:0.42158715033737837_dropout:False_batchnorm:True.out
26
[('conv2d', 72, 162, 162, 28, 2016), ('batchnorm2d', 72, 162, 162, 28, 144), ('ReLU', 72, 162, 162, 28, 0), ('conv2d', 76, 162, 162, 28, 49324), ('batchnorm2d', 76, 162, 162, 28, 152), ('ReLU', 76, 162, 162, 28, 0), ('conv2d', 81, 162, 162, 28, 55485), ('batchnorm2d', 81, 162, 162, 28, 162), ('ReLU', 81, 162, 162, 28, ...
ReLU
368,388,258
8,825,004
28
37,967
-1
-1
-1
-1
-1
26
26
0
1
1
SUCCESSFUL
8.4
104,928.32
33.66
104,970.38