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:460_depth:16_arch:pyramid_base_filters:87_batch:42_input_size:148_act:swish_dropout:0.243282172901286_dropout:True_batchnorm:True.out
16
[('conv2d', 87, 148, 148, 42, 2436), ('batchnorm2d', 87, 148, 148, 42, 174), ('SiLU', 87, 148, 148, 42, 0), ('dropout', 87, 148, 148, 42, 0), ('conv2d', 105, 148, 148, 42, 82320), ('batchnorm2d', 105, 148, 148, 42, 210), ('SiLU', 105, 148, 148, 42, 0), ('dropout', 105, 148, 148, 42, 0), ('conv2d', 129, 148, 148, 42, 12...
SiLU
786,619,049
64,556,870
42
39,429
-1
-1
-1
-1
-1
16
16
16
1
1
OOM_CRASH
10.5
315,074.76
246.26
315,331.52
input_channels:1_num_classes:767_depth:13_arch:dense_base_filters:73_batch:54_input_size:126_act:swish_dropout:0.2891843328736855_dropout:False_batchnorm:True.out
13
[('conv2d', 32, 126, 126, 54, 320), ('batchnorm2d', 32, 126, 126, 54, 64), ('SiLU', 32, 126, 126, 54, 0), ('conv2d', 32, 126, 126, 54, 9536), ('batchnorm2d', 32, 126, 126, 54, 64), ('SiLU', 32, 126, 126, 54, 0), ('conv2d', 32, 126, 126, 54, 18752), ('batchnorm2d', 32, 126, 126, 54, 64), ('SiLU', 32, 126, 126, 54, 0), (...
SiLU
12,194,622
717,759
54
9,093
89.59375
0.880312
0.676214
0.338357
0.112574
13
13
0
1
1
SUCCESSFUL
3.24
8,588.7
2.74
8,594.68
input_channels:3_num_classes:773_depth:16_arch:uniform_base_filters:89_batch:42_input_size:202_act:gelu_dropout:0.200614005799204_dropout:True_batchnorm:True.out
16
[('conv2d', 89, 202, 202, 42, 2492), ('batchnorm2d', 89, 202, 202, 42, 178), ('GELU', 89, 202, 202, 42, 0), ('dropout', 89, 202, 202, 42, 0), ('conv2d', 89, 202, 202, 42, 71378), ('batchnorm2d', 89, 202, 202, 42, 178), ('GELU', 89, 202, 202, 42, 0), ('dropout', 89, 202, 202, 42, 0), ('conv2d', 89, 202, 202, 42, 71378),...
GELU
232,421,219
1,145,580
42
37,171
96.967742
0.926415
0.904839
0.446
0.040804
16
16
16
1
1
SUCCESSFUL
19.74
93,094.68
4.37
93,118.79
input_channels:1_num_classes:372_depth:23_arch:bottleneck_base_filters:41_batch:22_input_size:188_act:swish_dropout:0.16253271050024393_dropout:True_batchnorm:True.out
23
[('conv2d', 82, 188, 188, 22, 820), ('batchnorm2d', 82, 188, 188, 22, 164), ('SiLU', 82, 188, 188, 22, 0), ('dropout', 82, 188, 188, 22, 0), ('conv2d', 41, 188, 188, 22, 30299), ('batchnorm2d', 41, 188, 188, 22, 82), ('SiLU', 41, 188, 188, 22, 0), ('dropout', 41, 188, 188, 22, 0), ('conv2d', 48, 188, 188, 22, 17760), (...
SiLU
1,468,333,594
74,579,118
22
39,833
23
0.1336
0.515
0.1475
0
23
23
23
1
1
OOM_CRASH
2.86
308,068.64
284.5
308,356
input_channels:3_num_classes:434_depth:28_arch:hourglass_base_filters:103_batch:58_input_size:220_act:leaky_relu_dropout:0.4514601149238878_dropout:True_batchnorm:False.out
28
[('conv2d', 103, 220, 220, 58, 2884), ('LeakyReLU', 103, 220, 220, 58, 0), ('dropout', 103, 220, 220, 58, 0), ('conv2d', 127, 220, 220, 58, 117856), ('LeakyReLU', 127, 220, 220, 58, 0), ('dropout', 127, 220, 220, 58, 0), ('conv2d', 157, 220, 220, 58, 179608), ('LeakyReLU', 157, 220, 220, 58, 0), ('dropout', 157, 220, 2...
LeakyReLU
2,370,826,571
138,598,833
58
39,161
23.142857
0.1474
0.003
0.002
0.001
28
0
28
1
1
OOM_CRASH
31.9
1,398,802.82
528.71
1,399,363.43
input_channels:1_num_classes:83_depth:14_arch:pyramid_base_filters:52_batch:46_input_size:42_act:swish_dropout:0.28914488415438433_dropout:False_batchnorm:True.out
14
[('conv2d', 52, 42, 42, 46, 520), ('batchnorm2d', 52, 42, 42, 46, 104), ('SiLU', 52, 42, 42, 46, 0), ('conv2d', 67, 42, 42, 46, 31423), ('batchnorm2d', 67, 42, 42, 46, 134), ('SiLU', 67, 42, 42, 46, 0), ('conv2d', 87, 42, 42, 46, 52548), ('batchnorm2d', 87, 42, 42, 46, 174), ('SiLU', 87, 42, 42, 46, 0), ('conv2d', 114,...
SiLU
35,182,957
42,145,868
46
12,973
93.046875
0.921234
0.935537
0.232963
0.013453
14
14
0
1
1
SUCCESSFUL
0.46
16,463.4
160.77
16,624.63
input_channels:1_num_classes:84_depth:13_arch:gradual_base_filters:78_batch:48_input_size:108_act:prelu_dropout:0.13701861720740946_dropout:True_batchnorm:False.out
13
[('conv2d', 78, 108, 108, 48, 780), ('PReLU', 78, 108, 108, 48, 0), ('dropout', 78, 108, 108, 48, 0), ('conv2d', 88, 108, 108, 48, 61864), ('PReLU', 88, 108, 108, 48, 0), ('dropout', 88, 108, 108, 48, 0), ('conv2d', 100, 108, 108, 48, 79300), ('PReLU', 100, 108, 108, 48, 0), ('dropout', 100, 108, 108, 48, 0), ('conv2d'...
PReLU
83,841,352
4,233,023
48
20,873
93.184615
0.938762
0.948857
0.401089
0.011875
13
0
13
1
1
SUCCESSFUL
1.92
40,938.24
16.15
40,956.31
input_channels:1_num_classes:432_depth:23_arch:uniform_base_filters:70_batch:22_input_size:20_act:leaky_relu_dropout:0.29383722964740144_dropout:False_batchnorm:True.out
23
[('conv2d', 70, 20, 20, 22, 700), ('batchnorm2d', 70, 20, 20, 22, 140), ('LeakyReLU', 70, 20, 20, 22, 0), ('conv2d', 70, 20, 20, 22, 44170), ('batchnorm2d', 70, 20, 20, 22, 140), ('LeakyReLU', 70, 20, 20, 22, 0), ('conv2d', 70, 20, 20, 22, 44170), ('batchnorm2d', 70, 20, 20, 22, 140), ('LeakyReLU', 70, 20, 20, 22, 0), ...
LeakyReLU
1,932,934
1,006,332
22
1,967
52.921875
0.511651
0.319839
0.103911
0.006625
23
23
0
1
1
SUCCESSFUL
0
432.52
3.84
436.36
input_channels:3_num_classes:761_depth:29_arch:gradual_base_filters:42_batch:6_input_size:194_act:selu_dropout:0.4828949545589958_dropout:True_batchnorm:True.out
29
[('conv2d', 42, 194, 194, 6, 1176), ('batchnorm2d', 42, 194, 194, 6, 84), ('SELU', 42, 194, 194, 6, 0), ('dropout', 42, 194, 194, 6, 0), ('conv2d', 44, 194, 194, 6, 16676), ('batchnorm2d', 44, 194, 194, 6, 88), ('SELU', 44, 194, 194, 6, 0), ('dropout', 44, 194, 194, 6, 0), ('conv2d', 48, 194, 194, 6, 19056), ('batchnor...
SELU
543,616,180
5,119,465
6
18,649
94.015625
0.939635
0.890345
0.393148
0.034745
29
29
29
1
1
SUCCESSFUL
2.58
31,105.92
19.53
31,128.03
input_channels:3_num_classes:648_depth:22_arch:gradual_base_filters:86_batch:28_input_size:194_act:tanh_dropout:0.1444872287780085_dropout:True_batchnorm:True.out
22
[('conv2d', 86, 194, 194, 28, 2408), ('batchnorm2d', 86, 194, 194, 28, 172), ('Tanh', 86, 194, 194, 28, 0), ('dropout', 86, 194, 194, 28, 0), ('conv2d', 92, 194, 194, 28, 71300), ('batchnorm2d', 92, 194, 194, 28, 184), ('Tanh', 92, 194, 194, 28, 0), ('dropout', 92, 194, 194, 28, 0), ('conv2d', 99, 194, 194, 28, 82071),...
Tanh
670,825,750
9,287,256
28
40,073
5.333333
0.0914
0.314
0.1655
0.036
22
22
22
1
1
OOM_CRASH
12.04
179,129.72
35.43
179,177.19
input_channels:1_num_classes:904_depth:8_arch:gradual_base_filters:72_batch:40_input_size:54_act:tanh_dropout:0.28192167396200063_dropout:True_batchnorm:False.out
8
[('conv2d', 72, 54, 54, 40, 720), ('Tanh', 72, 54, 54, 40, 0), ('dropout', 72, 54, 54, 40, 0), ('conv2d', 88, 54, 54, 40, 57112), ('Tanh', 88, 54, 54, 40, 0), ('dropout', 88, 54, 54, 40, 0), ('conv2d', 109, 54, 54, 40, 86437), ('Tanh', 109, 54, 54, 40, 0), ('dropout', 109, 54, 54, 40, 0), ('conv2d', 134, 54, 54, 40, 13...
Tanh
11,689,447
2,231,830
40
3,869
-1
-1
-1
-1
-1
8
0
8
1
1
SUCCESSFUL
0.4
4,756.4
8.51
4,765.31
input_channels:1_num_classes:317_depth:25_arch:hourglass_base_filters:117_batch:28_input_size:150_act:leaky_relu_dropout:0.34254343594637515_dropout:True_batchnorm:True.out
25
[('conv2d', 117, 150, 150, 28, 1170), ('batchnorm2d', 117, 150, 150, 28, 234), ('LeakyReLU', 117, 150, 150, 28, 0), ('dropout', 117, 150, 150, 28, 0), ('conv2d', 148, 150, 150, 28, 155992), ('batchnorm2d', 148, 150, 150, 28, 296), ('LeakyReLU', 148, 150, 150, 28, 0), ('dropout', 148, 150, 150, 28, 0), ('conv2d', 188, 1...
LeakyReLU
1,349,550,751
126,651,515
28
38,707
22.6
0.099
0.142
0.037
0.007
25
25
25
1
1
OOM_CRASH
2.52
360,368.96
483.14
360,854.62
input_channels:3_num_classes:957_depth:4_arch:residual_base_filters:113_batch:58_input_size:158_act:elu_dropout:0.1420242449723455_dropout:True_batchnorm:False.out
6
[('conv2d', 113, 158, 158, 58, 452), ('conv2d', 113, 158, 158, 58, 3164), ('ELU', 113, 158, 158, 58, 0), ('dropout', 113, 158, 158, 58, 0), ('conv2d', 113, 158, 158, 58, 115034), ('ELU', 113, 158, 158, 58, 0), ('dropout', 113, 158, 158, 58, 0), ('conv2d', 233, 79, 79, 58, 26562), ('conv2d', 233, 79, 79, 58, 237194), ('...
ELU
29,927,742
1,095,178
58
11,095
-1
-1
-1
-1
-1
6
0
4
1
1
SUCCESSFUL
16.82
20,810.4
4.18
20,831.4
input_channels:3_num_classes:487_depth:15_arch:residual_base_filters:20_batch:28_input_size:98_act:gelu_dropout:0.47088996357502466_dropout:False_batchnorm:False.out
21
[('conv2d', 20, 98, 98, 28, 80), ('conv2d', 20, 98, 98, 28, 560), ('GELU', 20, 98, 98, 28, 0), ('conv2d', 20, 98, 98, 28, 3620), ('GELU', 20, 98, 98, 28, 0), ('conv2d', 27, 49, 49, 28, 567), ('conv2d', 27, 49, 49, 28, 4887), ('GELU', 27, 49, 49, 28, 0), ('conv2d', 27, 49, 49, 28, 6588), ('GELU', 27, 49, 49, 28, 0), ('c...
GELU
2,284,471
623,042
28
2,073
73.857143
0.692092
0.492712
0.190085
0.120345
21
0
0
1
1
SUCCESSFUL
3.08
878.36
2.38
883.82
input_channels:1_num_classes:167_depth:1_arch:hourglass_base_filters:26_batch:4_input_size:124_act:gelu_dropout:0.48641525429290877_dropout:True_batchnorm:False.out
1
[('conv2d', 26, 124, 124, 4, 260), ('GELU', 26, 124, 124, 4, 0), ('dropout', 26, 124, 124, 4, 0), ('adaptive_avg_pool2d', 0, 0, 26, 4, 0), ('linear', 0, 0, 167, 4, 4509), ('softmax', 0, 0, 167, 4, 0)]
GELU
1,199,688
4,769
4
1,741
27.828125
0.253554
0.095145
0.030327
0.020431
1
0
1
1
1
SUCCESSFUL
0.24
48.8
0.02
49.06
input_channels:3_num_classes:716_depth:4_arch:gradual_base_filters:69_batch:22_input_size:72_act:gelu_dropout:0.368276367520734_dropout:False_batchnorm:False.out
4
[('conv2d', 69, 72, 72, 22, 1932), ('GELU', 69, 72, 72, 22, 0), ('conv2d', 105, 72, 72, 22, 65310), ('GELU', 105, 72, 72, 22, 0), ('conv2d', 161, 72, 72, 22, 152306), ('GELU', 161, 72, 72, 22, 0), ('conv2d', 246, 72, 72, 22, 356700), ('GELU', 246, 72, 72, 22, 0), ('adaptive_avg_pool2d', 0, 0, 246, 22, 0), ('linear', 0,...
GELU
6,025,486
753,100
22
2,737
82.140625
0.813953
0.690455
0.311309
0.032655
4
0
0
1
1
SUCCESSFUL
1.32
1,516.9
2.87
1,521.09
input_channels:1_num_classes:177_depth:22_arch:uniform_base_filters:42_batch:48_input_size:186_act:tanh_dropout:0.36529890756140293_dropout:False_batchnorm:False.out
22
[('conv2d', 42, 186, 186, 48, 420), ('Tanh', 42, 186, 186, 48, 0), ('conv2d', 42, 186, 186, 48, 15918), ('Tanh', 42, 186, 186, 48, 0), ('conv2d', 42, 186, 186, 48, 15918), ('Tanh', 42, 186, 186, 48, 0), ('conv2d', 42, 186, 186, 48, 15918), ('Tanh', 42, 186, 186, 48, 0), ('conv2d', 42, 186, 186, 48, 15918), ('Tanh', 42,...
Tanh
63,933,804
342,309
48
9,211
92.621212
0.913523
0.960145
0.457818
0.246364
22
0
0
1
1
SUCCESSFUL
6.24
35,119.68
1.31
35,127.23
input_channels:1_num_classes:886_depth:27_arch:dense_base_filters:54_batch:60_input_size:186_act:mish_dropout:0.2543435502304008_dropout:True_batchnorm:True.out
25
[('conv2d', 32, 186, 186, 60, 320), ('batchnorm2d', 32, 186, 186, 60, 64), ('Mish', 32, 186, 186, 60, 0), ('dropout', 32, 186, 186, 60, 0), ('conv2d', 32, 186, 186, 60, 9536), ('batchnorm2d', 32, 186, 186, 60, 64), ('Mish', 32, 186, 186, 60, 0), ('dropout', 32, 186, 186, 60, 0), ('conv2d', 32, 186, 186, 60, 18752), ('b...
Mish
46,499,500
2,811,510
60
33,281
94.153846
0.922338
0.808386
0.416035
0.138214
25
25
24
1
1
SUCCESSFUL
7.8
38,278.8
10.73
38,297.33
input_channels:1_num_classes:698_depth:5_arch:bottleneck_base_filters:126_batch:56_input_size:42_act:mish_dropout:0.2745492233465958_dropout:True_batchnorm:False.out
5
[('conv2d', 252, 42, 42, 56, 2520), ('Mish', 252, 42, 42, 56, 0), ('dropout', 252, 42, 42, 56, 0), ('conv2d', 126, 42, 42, 56, 285894), ('Mish', 126, 42, 42, 56, 0), ('dropout', 126, 42, 42, 56, 0), ('conv2d', 252, 42, 42, 56, 286020), ('Mish', 252, 42, 42, 56, 0), ('dropout', 252, 42, 42, 56, 0), ('conv2d', 507, 42, 4...
Mish
11,411,967
7,087,493
56
5,193
88.53125
0.881825
0.896444
0.313519
0.037056
5
0
5
1
1
SUCCESSFUL
0.56
6,500.48
27.04
6,528.08
input_channels:1_num_classes:564_depth:2_arch:uniform_base_filters:33_batch:34_input_size:180_act:relu_dropout:0.40978283442743146_dropout:False_batchnorm:False.out
2
[('conv2d', 33, 180, 180, 34, 330), ('ReLU', 33, 180, 180, 34, 0), ('conv2d', 33, 180, 180, 34, 9834), ('ReLU', 33, 180, 180, 34, 0), ('adaptive_avg_pool2d', 0, 0, 33, 34, 0), ('linear', 0, 0, 564, 34, 19176), ('softmax', 0, 0, 564, 34, 0)]
ReLU
4,277,961
29,340
34
2,587
-1
-1
-1
-1
-1
2
0
0
1
1
SUCCESSFUL
4.08
1,664.3
0.11
1,668.49
input_channels:3_num_classes:178_depth:5_arch:hourglass_base_filters:63_batch:58_input_size:62_act:tanh_dropout:0.3277009079115225_dropout:False_batchnorm:True.out
5
[('conv2d', 63, 62, 62, 58, 1764), ('batchnorm2d', 63, 62, 62, 58, 126), ('Tanh', 63, 62, 62, 58, 0), ('conv2d', 359, 62, 62, 58, 203912), ('batchnorm2d', 359, 62, 62, 58, 718), ('Tanh', 359, 62, 62, 58, 0), ('conv2d', 641, 62, 62, 58, 2071712), ('batchnorm2d', 641, 62, 62, 58, 1282), ('Tanh', 641, 62, 62, 58, 0), ('co...
Tanh
15,303,383
3,565,234
58
6,447
91.68254
0.903317
0.900389
0.331704
0.019127
5
5
0
1
1
SUCCESSFUL
2.32
9,028.86
13.6
9,044.78
input_channels:3_num_classes:278_depth:11_arch:uniform_base_filters:31_batch:42_input_size:208_act:gelu_dropout:0.31693177621262303_dropout:True_batchnorm:True.out
11
[('conv2d', 31, 208, 208, 42, 868), ('batchnorm2d', 31, 208, 208, 42, 62), ('GELU', 31, 208, 208, 42, 0), ('dropout', 31, 208, 208, 42, 0), ('conv2d', 31, 208, 208, 42, 8680), ('batchnorm2d', 31, 208, 208, 42, 62), ('GELU', 31, 208, 208, 42, 0), ('dropout', 31, 208, 208, 42, 0), ('conv2d', 31, 208, 208, 42, 8680), ('ba...
GELU
59,012,683
97,246
42
10,689
93.796875
0.915016
0.650491
0.330436
0.094382
11
11
11
1
1
SUCCESSFUL
21
23,637.18
0.37
23,658.55
input_channels:1_num_classes:974_depth:13_arch:dense_base_filters:120_batch:52_input_size:56_act:leaky_relu_dropout:0.38062458483774275_dropout:True_batchnorm:True.out
13
[('conv2d', 32, 56, 56, 52, 320), ('batchnorm2d', 32, 56, 56, 52, 64), ('LeakyReLU', 32, 56, 56, 52, 0), ('dropout', 32, 56, 56, 52, 0), ('conv2d', 32, 56, 56, 52, 9536), ('batchnorm2d', 32, 56, 56, 52, 64), ('LeakyReLU', 32, 56, 56, 52, 0), ('dropout', 32, 56, 56, 52, 0), ('conv2d', 32, 56, 56, 52, 18752), ('batchnorm...
LeakyReLU
3,012,828
784,206
52
3,147
79.714286
0.777841
0.590268
0.276375
0.062018
13
13
12
1
1
SUCCESSFUL
0.52
1,873.56
2.99
1,877.07
input_channels:3_num_classes:590_depth:10_arch:dense_base_filters:65_batch:18_input_size:88_act:selu_dropout:0.39798957353482467_dropout:True_batchnorm:True.out
9
[('conv2d', 32, 88, 88, 18, 896), ('batchnorm2d', 32, 88, 88, 18, 64), ('SELU', 32, 88, 88, 18, 0), ('dropout', 32, 88, 88, 18, 0), ('conv2d', 32, 88, 88, 18, 10112), ('batchnorm2d', 32, 88, 88, 18, 64), ('SELU', 32, 88, 88, 18, 0), ('dropout', 32, 88, 88, 18, 0), ('conv2d', 32, 88, 88, 18, 19328), ('batchnorm2d', 32, ...
SELU
6,467,613
312,866
18
2,629
84.619048
0.773576
0.602661
0.266696
0.104036
9
9
8
1
1
SUCCESSFUL
1.62
1,352.7
1.19
1,355.51
input_channels:1_num_classes:413_depth:7_arch:gradual_base_filters:21_batch:34_input_size:194_act:swish_dropout:0.15307360721492827_dropout:True_batchnorm:True.out
7
[('conv2d', 21, 194, 194, 34, 210), ('batchnorm2d', 21, 194, 194, 34, 42), ('SiLU', 21, 194, 194, 34, 0), ('dropout', 21, 194, 194, 34, 0), ('conv2d', 29, 194, 194, 34, 5510), ('batchnorm2d', 29, 194, 194, 34, 58), ('SiLU', 29, 194, 194, 34, 0), ('dropout', 29, 194, 194, 34, 0), ('conv2d', 40, 194, 194, 34, 10480), ('b...
SiLU
72,111,551
356,103
34
14,267
-1
-1
-1
-1
-1
7
7
7
1
1
SUCCESSFUL
4.76
23,382.14
1.36
23,388.26
input_channels:1_num_classes:89_depth:22_arch:bottleneck_base_filters:62_batch:26_input_size:118_act:swish_dropout:0.3074184858838796_dropout:False_batchnorm:True.out
22
[('conv2d', 124, 118, 118, 26, 1240), ('batchnorm2d', 124, 118, 118, 26, 248), ('SiLU', 124, 118, 118, 26, 0), ('conv2d', 62, 118, 118, 26, 69254), ('batchnorm2d', 62, 118, 118, 26, 124), ('SiLU', 62, 118, 118, 26, 0), ('conv2d', 73, 118, 118, 26, 40807), ('batchnorm2d', 73, 118, 118, 26, 146), ('SiLU', 73, 118, 118, 2...
SiLU
462,459,723
80,880,333
26
39,697
-1
-1
-1
-1
-1
22
22
0
1
1
OOM_CRASH
1.3
122,313.88
308.53
122,623.71
input_channels:3_num_classes:781_depth:16_arch:uniform_base_filters:27_batch:48_input_size:6_act:prelu_dropout:0.3597533569886783_dropout:True_batchnorm:True.out
0
[]
null
0
0
48
0
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:725_depth:16_arch:gradual_base_filters:103_batch:10_input_size:70_act:mish_dropout:0.4685746222396162_dropout:False_batchnorm:False.out
16
[('conv2d', 103, 70, 70, 10, 2884), ('Mish', 103, 70, 70, 10, 0), ('conv2d', 113, 70, 70, 10, 104864), ('Mish', 113, 70, 70, 10, 0), ('conv2d', 124, 70, 70, 10, 126232), ('Mish', 124, 70, 70, 10, 0), ('conv2d', 136, 70, 70, 10, 151912), ('Mish', 136, 70, 70, 10, 0), ('conv2d', 149, 70, 70, 10, 182525), ('Mish', 149, 70...
Mish
35,605,268
8,197,303
10
3,955
-1
-1
-1
-1
-1
16
0
0
1
1
SUCCESSFUL
0.6
4,074.6
31.27
4,106.47
input_channels:3_num_classes:727_depth:11_arch:gradual_base_filters:122_batch:52_input_size:154_act:elu_dropout:0.14919617026685295_dropout:False_batchnorm:True.out
11
[('conv2d', 122, 154, 154, 52, 3416), ('batchnorm2d', 122, 154, 154, 52, 244), ('ELU', 122, 154, 154, 52, 0), ('conv2d', 138, 154, 154, 52, 151662), ('batchnorm2d', 138, 154, 154, 52, 276), ('ELU', 138, 154, 154, 52, 0), ('conv2d', 157, 154, 154, 52, 195151), ('batchnorm2d', 157, 154, 154, 52, 314), ('ELU', 157, 154, 1...
ELU
196,156,929
6,555,656
52
38,651
-1
-1
-1
-1
-1
11
11
0
1
1
OOM_CRASH
14.04
103,761.32
25.01
103,800.37
input_channels:1_num_classes:343_depth:18_arch:pyramid_base_filters:31_batch:18_input_size:212_act:prelu_dropout:0.4796426747138117_dropout:False_batchnorm:False.out
18
[('conv2d', 31, 212, 212, 18, 310), ('PReLU', 31, 212, 212, 18, 0), ('conv2d', 39, 212, 212, 18, 10920), ('PReLU', 39, 212, 212, 18, 0), ('conv2d', 49, 212, 212, 18, 17248), ('PReLU', 49, 212, 212, 18, 0), ('conv2d', 62, 212, 212, 18, 27404), ('PReLU', 62, 212, 212, 18, 0), ('conv2d', 78, 212, 212, 18, 43602), ('PReLU'...
PReLU
690,971,364
50,923,318
18
39,739
-1
-1
-1
-1
-1
18
0
0
1
1
OOM_CRASH
3.06
142,335.54
194.26
142,532.86
input_channels:1_num_classes:900_depth:18_arch:uniform_base_filters:76_batch:36_input_size:124_act:softplus_dropout:0.49764414932313306_dropout:True_batchnorm:True.out
18
[('conv2d', 76, 124, 124, 36, 760), ('batchnorm2d', 76, 124, 124, 36, 152), ('Softplus', 76, 124, 124, 36, 0), ('dropout', 76, 124, 124, 36, 0), ('conv2d', 76, 124, 124, 36, 52060), ('batchnorm2d', 76, 124, 124, 36, 152), ('Softplus', 76, 124, 124, 36, 0), ('dropout', 76, 124, 124, 36, 0), ('conv2d', 76, 124, 124, 36, ...
Softplus
84,139,348
957,816
36
12,655
94.3125
0.912108
0.875786
0.356732
0.043929
18
18
18
1
1
SUCCESSFUL
2.16
28,886.76
3.65
28,892.57
input_channels:1_num_classes:492_depth:6_arch:dense_base_filters:66_batch:42_input_size:208_act:swish_dropout:0.2806018266733691_dropout:False_batchnorm:False.out
4
[('conv2d', 32, 208, 208, 42, 320), ('SiLU', 32, 208, 208, 42, 0), ('conv2d', 32, 208, 208, 42, 9536), ('SiLU', 32, 208, 208, 42, 0), ('conv2d', 32, 208, 208, 42, 18752), ('SiLU', 32, 208, 208, 42, 0), ('conv2d', 32, 208, 208, 42, 27968), ('SiLU', 32, 208, 208, 42, 0), ('adaptive_avg_pool2d', 0, 0, 129, 42, 0), ('linea...
SiLU
11,076,697
120,536
42
8,457
89.615385
0.87475
0.830702
0.455316
0.15234
4
0
0
1
1
SUCCESSFUL
7.14
7,112.28
0.46
7,119.88
input_channels:1_num_classes:161_depth:6_arch:hourglass_base_filters:79_batch:54_input_size:54_act:gelu_dropout:0.47199804962877234_dropout:False_batchnorm:False.out
6
[('conv2d', 79, 54, 54, 54, 790), ('GELU', 79, 54, 54, 54, 0), ('conv2d', 233, 54, 54, 54, 165896), ('GELU', 233, 54, 54, 54, 0), ('conv2d', 691, 54, 54, 54, 1449718), ('GELU', 691, 54, 54, 54, 0), ('conv2d', 691, 54, 54, 54, 4298020), ('GELU', 691, 54, 54, 54, 0), ('conv2d', 233, 54, 54, 54, 1449260), ('GELU', 233, 54...
GELU
11,699,393
7,542,306
54
7,163
-1
-1
-1
-1
-1
6
0
0
1
1
SUCCESSFUL
0.54
7,230.06
28.77
7,259.37
input_channels:3_num_classes:311_depth:3_arch:uniform_base_filters:76_batch:2_input_size:76_act:prelu_dropout:0.4996195763439496_dropout:True_batchnorm:True.out
3
[('conv2d', 76, 76, 76, 2, 2128), ('batchnorm2d', 76, 76, 76, 2, 152), ('PReLU', 76, 76, 76, 2, 0), ('dropout', 76, 76, 76, 2, 0), ('conv2d', 76, 76, 76, 2, 52060), ('batchnorm2d', 76, 76, 76, 2, 152), ('PReLU', 76, 76, 76, 2, 0), ('dropout', 76, 76, 76, 2, 0), ('conv2d', 76, 76, 76, 2, 52060), ('batchnorm2d', 76, 76, ...
PReLU
5,268,410
130,651
2
1,785
37.375
0.355516
0.186327
0.047709
0.006709
3
3
3
1
1
SUCCESSFUL
0.14
100.48
0.5
101.12
input_channels:3_num_classes:445_depth:11_arch:residual_base_filters:116_batch:54_input_size:6_act:softplus_dropout:0.1657965531812211_dropout:False_batchnorm:False.out
0
[]
null
0
0
54
0
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:468_depth:14_arch:dense_base_filters:126_batch:54_input_size:182_act:relu_dropout:0.25062656866855676_dropout:False_batchnorm:False.out
13
[('conv2d', 32, 182, 182, 54, 896), ('ReLU', 32, 182, 182, 54, 0), ('conv2d', 32, 182, 182, 54, 10112), ('ReLU', 32, 182, 182, 54, 0), ('conv2d', 32, 182, 182, 54, 19328), ('ReLU', 32, 182, 182, 54, 0), ('conv2d', 32, 182, 182, 54, 28544), ('ReLU', 32, 182, 182, 54, 0), ('conv2d', 65, 182, 182, 54, 8580), ('ReLU', 65, ...
ReLU
17,026,993
626,220
54
15,307
91.539683
0.886954
0.921981
0.482907
0.14375
13
0
0
1
1
SUCCESSFUL
20.52
14,507.1
2.39
14,530.01
input_channels:3_num_classes:755_depth:27_arch:uniform_base_filters:106_batch:6_input_size:78_act:relu_dropout:0.14882728913832716_dropout:False_batchnorm:False.out
27
[('conv2d', 106, 78, 78, 6, 2968), ('ReLU', 106, 78, 78, 6, 0), ('conv2d', 106, 78, 78, 6, 101230), ('ReLU', 106, 78, 78, 6, 0), ('conv2d', 106, 78, 78, 6, 101230), ('ReLU', 106, 78, 78, 6, 0), ('conv2d', 106, 78, 78, 6, 101230), ('ReLU', 106, 78, 78, 6, 0), ('conv2d', 106, 78, 78, 6, 101230), ('ReLU', 106, 78, 78, 6, ...
ReLU
34,826,432
2,715,733
6
2,445
91.369231
0.908662
0.69161
0.293712
0.009897
27
0
0
1
1
SUCCESSFUL
0.42
2,391.3
10.36
2,402.08
input_channels:1_num_classes:529_depth:9_arch:dense_base_filters:16_batch:34_input_size:150_act:gelu_dropout:0.13485540878843016_dropout:False_batchnorm:False.out
9
[('conv2d', 32, 150, 150, 34, 320), ('GELU', 32, 150, 150, 34, 0), ('conv2d', 32, 150, 150, 34, 9536), ('GELU', 32, 150, 150, 34, 0), ('conv2d', 32, 150, 150, 34, 18752), ('GELU', 32, 150, 150, 34, 0), ('conv2d', 32, 150, 150, 34, 27968), ('GELU', 32, 150, 150, 34, 0), ('conv2d', 64, 150, 150, 34, 8320), ('ReLU', 64, 1...
GELU
10,081,250
296,145
34
5,677
89.125
0.882095
0.828182
0.427909
0.141385
9
0
0
1
1
SUCCESSFUL
3.06
5,142.16
1.13
5,146.35
input_channels:1_num_classes:153_depth:27_arch:dense_base_filters:74_batch:38_input_size:172_act:swish_dropout:0.262466392909116_dropout:False_batchnorm:False.out
25
[('conv2d', 32, 172, 172, 38, 320), ('SiLU', 32, 172, 172, 38, 0), ('conv2d', 32, 172, 172, 38, 9536), ('SiLU', 32, 172, 172, 38, 0), ('conv2d', 32, 172, 172, 38, 18752), ('SiLU', 32, 172, 172, 38, 0), ('conv2d', 32, 172, 172, 38, 27968), ('SiLU', 32, 172, 172, 38, 0), ('conv2d', 64, 172, 172, 38, 8320), ('ReLU', 64, 1...
SiLU
20,828,146
2,293,081
38
18,419
-1
-1
-1
-1
-1
25
0
0
1
1
SUCCESSFUL
4.18
15,241.42
8.75
15,254.35
input_channels:3_num_classes:988_depth:28_arch:residual_base_filters:91_batch:42_input_size:16_act:relu_dropout:0.49167945243843203_dropout:False_batchnorm:True.out
12
[('conv2d', 91, 16, 16, 42, 364), ('batchnorm2d', 91, 16, 16, 42, 182), ('conv2d', 91, 16, 16, 42, 2548), ('batchnorm2d', 91, 16, 16, 42, 182), ('ReLU', 91, 16, 16, 42, 0), ('conv2d', 91, 16, 16, 42, 74620), ('batchnorm2d', 91, 16, 16, 42, 182), ('ReLU', 91, 16, 16, 42, 0), ('conv2d', 101, 8, 8, 42, 9292), ('batchnorm2...
ReLU
314,295
909,052
42
1,825
-1
-1
-1
-1
-1
12
12
0
1
1
SUCCESSFUL
0
138.18
3.47
141.65
input_channels:3_num_classes:264_depth:28_arch:gradual_base_filters:105_batch:42_input_size:210_act:relu_dropout:0.4773197264452811_dropout:True_batchnorm:False.out
28
[('conv2d', 105, 210, 210, 42, 2940), ('ReLU', 105, 210, 210, 42, 0), ('dropout', 105, 210, 210, 42, 0), ('conv2d', 110, 210, 210, 42, 104060), ('ReLU', 110, 210, 210, 42, 0), ('dropout', 110, 210, 210, 42, 0), ('conv2d', 116, 210, 210, 42, 114956), ('ReLU', 116, 210, 210, 42, 0), ('dropout', 116, 210, 210, 42, 0), ('c...
ReLU
869,344,267
15,534,169
42
40,117
27.8
0.049333
0
0
0.1
28
0
28
1
1
OOM_CRASH
21
371,423.64
59.26
371,503.9
input_channels:3_num_classes:10_depth:15_arch:uniform_base_filters:93_batch:16_input_size:100_act:swish_dropout:0.1634413308162786_dropout:True_batchnorm:True.out
15
[('conv2d', 93, 100, 100, 16, 2604), ('batchnorm2d', 93, 100, 100, 16, 186), ('SiLU', 93, 100, 100, 16, 0), ('dropout', 93, 100, 100, 16, 0), ('conv2d', 93, 100, 100, 16, 77934), ('batchnorm2d', 93, 100, 100, 16, 186), ('SiLU', 93, 100, 100, 16, 0), ('dropout', 93, 100, 100, 16, 0), ('conv2d', 93, 100, 100, 16, 77934),...
SiLU
55,800,113
1,097,410
16
5,083
90.446154
0.880818
0.857965
0.423579
0.035966
15
15
15
1
1
SUCCESSFUL
1.76
8,514.4
4.19
8,520.35
input_channels:1_num_classes:656_depth:9_arch:hourglass_base_filters:24_batch:62_input_size:182_act:leaky_relu_dropout:0.11248677088782913_dropout:True_batchnorm:True.out
9
[('conv2d', 24, 182, 182, 62, 240), ('batchnorm2d', 24, 182, 182, 62, 48), ('LeakyReLU', 24, 182, 182, 62, 0), ('dropout', 24, 182, 182, 62, 0), ('conv2d', 72, 182, 182, 62, 15624), ('batchnorm2d', 72, 182, 182, 62, 144), ('LeakyReLU', 72, 182, 182, 62, 0), ('dropout', 72, 182, 182, 62, 0), ('conv2d', 221, 182, 182, 62...
LeakyReLU
317,991,736
9,753,977
62
36,879
21.857143
0.207167
0.334
0.095333
0.942
9
9
9
1
1
OOM_CRASH
8.06
188,021.2
37.21
188,066.47
input_channels:3_num_classes:133_depth:24_arch:pyramid_base_filters:112_batch:10_input_size:202_act:prelu_dropout:0.42490995354717553_dropout:True_batchnorm:True.out
24
[('conv2d', 112, 202, 202, 10, 3136), ('batchnorm2d', 112, 202, 202, 10, 224), ('PReLU', 112, 202, 202, 10, 0), ('dropout', 112, 202, 202, 10, 0), ('conv2d', 126, 202, 202, 10, 127134), ('batchnorm2d', 126, 202, 202, 10, 252), ('PReLU', 126, 202, 202, 10, 0), ('dropout', 126, 202, 202, 10, 0), ('conv2d', 142, 202, 202,...
PReLU
2,452,975,344
121,748,709
10
39,347
47
0.157
0.027
0.02
0.009667
24
24
24
1
1
OOM_CRASH
4.7
233,933.9
464.43
234,403.03
input_channels:3_num_classes:96_depth:5_arch:pyramid_base_filters:122_batch:52_input_size:16_act:leaky_relu_dropout:0.30365081558041085_dropout:False_batchnorm:False.out
5
[('conv2d', 122, 16, 16, 52, 3416), ('LeakyReLU', 122, 16, 16, 52, 0), ('conv2d', 214, 16, 16, 52, 235186), ('LeakyReLU', 214, 16, 16, 52, 0), ('conv2d', 377, 16, 16, 52, 726479), ('LeakyReLU', 377, 16, 16, 52, 0), ('conv2d', 662, 16, 16, 52, 2246828), ('LeakyReLU', 662, 16, 16, 52, 0), ('conv2d', 1165, 16, 16, 52, 694...
LeakyReLU
1,301,837
10,266,080
52
2,469
77.774194
0.739429
0.704211
0.228702
0.007339
5
0
0
1
1
SUCCESSFUL
0
774.28
39.16
813.44
input_channels:1_num_classes:134_depth:7_arch:residual_base_filters:73_batch:8_input_size:178_act:gelu_dropout:0.38841191592526725_dropout:True_batchnorm:False.out
9
[('conv2d', 73, 178, 178, 8, 146), ('conv2d', 73, 178, 178, 8, 730), ('GELU', 73, 178, 178, 8, 0), ('dropout', 73, 178, 178, 8, 0), ('conv2d', 73, 178, 178, 8, 48034), ('GELU', 73, 178, 178, 8, 0), ('dropout', 73, 178, 178, 8, 0), ('conv2d', 117, 89, 89, 8, 8658), ('conv2d', 117, 89, 89, 8, 76986), ('GELU', 117, 89, 89...
GELU
33,157,763
826,518
8
3,195
90.5625
0.890032
0.8668
0.443127
0.056745
9
0
6
1
1
SUCCESSFUL
0.96
3,180.24
3.15
3,184.35
input_channels:1_num_classes:986_depth:15_arch:uniform_base_filters:60_batch:28_input_size:30_act:selu_dropout:0.4868991090924162_dropout:False_batchnorm:True.out
15
[('conv2d', 60, 30, 30, 28, 600), ('batchnorm2d', 60, 30, 30, 28, 120), ('SELU', 60, 30, 30, 28, 0), ('conv2d', 60, 30, 30, 28, 32460), ('batchnorm2d', 60, 30, 30, 28, 120), ('SELU', 60, 30, 30, 28, 0), ('conv2d', 60, 30, 30, 28, 32460), ('batchnorm2d', 60, 30, 30, 28, 120), ('SELU', 60, 30, 30, 28, 0), ('conv2d', 60, ...
SELU
2,432,032
516,986
28
2,069
52.459016
0.494719
0.342804
0.107549
0.019492
15
15
0
1
1
SUCCESSFUL
0
692.44
1.97
694.41
input_channels:1_num_classes:809_depth:23_arch:hourglass_base_filters:113_batch:56_input_size:210_act:swish_dropout:0.2760358557430137_dropout:False_batchnorm:True.out
23
[('conv2d', 113, 210, 210, 56, 1130), ('batchnorm2d', 113, 210, 210, 56, 226), ('SiLU', 113, 210, 210, 56, 0), ('conv2d', 147, 210, 210, 56, 149646), ('batchnorm2d', 147, 210, 210, 56, 294), ('SiLU', 147, 210, 210, 56, 0), ('conv2d', 191, 210, 210, 56, 252884), ('batchnorm2d', 191, 210, 210, 56, 382), ('SiLU', 191, 210...
SiLU
1,785,787,131
111,944,940
56
39,763
29.857143
0.232333
0.629
0.264
0.0115
23
23
0
1
1
OOM_CRASH
9.52
1,017,293.76
427.04
1,017,730.32
input_channels:3_num_classes:278_depth:28_arch:uniform_base_filters:102_batch:34_input_size:44_act:prelu_dropout:0.48018482456282396_dropout:True_batchnorm:False.out
28
[('conv2d', 102, 44, 44, 34, 2856), ('PReLU', 102, 44, 44, 34, 0), ('dropout', 102, 44, 44, 34, 0), ('conv2d', 102, 44, 44, 34, 93738), ('PReLU', 102, 44, 44, 34, 0), ('dropout', 102, 44, 44, 34, 0), ('conv2d', 102, 44, 44, 34, 93738), ('PReLU', 102, 44, 44, 34, 0), ('dropout', 102, 44, 44, 34, 0), ('conv2d', 102, 44, ...
PReLU
16,588,306
2,562,416
34
3,613
88.921875
0.872031
0.837107
0.440054
0.014509
28
0
28
1
1
SUCCESSFUL
0.68
5,737.16
9.77
5,747.61
input_channels:3_num_classes:811_depth:11_arch:hourglass_base_filters:119_batch:52_input_size:220_act:softplus_dropout:0.2911008069372293_dropout:False_batchnorm:True.out
11
[('conv2d', 119, 220, 220, 52, 3332), ('batchnorm2d', 119, 220, 220, 52, 238), ('Softplus', 119, 220, 220, 52, 0), ('conv2d', 210, 220, 220, 52, 225120), ('batchnorm2d', 210, 220, 220, 52, 420), ('Softplus', 210, 220, 220, 52, 0), ('conv2d', 371, 220, 220, 52, 701561), ('batchnorm2d', 371, 220, 220, 52, 742), ('Softplu...
Softplus
826,480,141
38,071,455
52
38,571
43
0.169167
0.001
0.001
0.01
11
11
0
1
1
OOM_CRASH
28.6
437,184.28
145.23
437,358.11
input_channels:1_num_classes:6_depth:4_arch:gradual_base_filters:92_batch:58_input_size:214_act:softplus_dropout:0.45313338677782167_dropout:False_batchnorm:True.out
4
[('conv2d', 92, 214, 214, 58, 920), ('batchnorm2d', 92, 214, 214, 58, 184), ('Softplus', 92, 214, 214, 58, 0), ('conv2d', 135, 214, 214, 58, 111915), ('batchnorm2d', 135, 214, 214, 58, 270), ('Softplus', 135, 214, 214, 58, 0), ('conv2d', 199, 214, 214, 58, 241984), ('batchnorm2d', 199, 214, 214, 58, 398), ('Softplus', ...
Softplus
98,919,666
884,877
58
36,991
94.515625
0.902121
0.931946
0.406273
0.044828
4
4
0
1
1
SUCCESSFUL
9.86
58,363.08
3.38
58,376.32
input_channels:3_num_classes:784_depth:21_arch:gradual_base_filters:96_batch:2_input_size:16_act:mish_dropout:0.12932722817685494_dropout:False_batchnorm:False.out
21
[('conv2d', 96, 16, 16, 2, 2688), ('Mish', 96, 16, 16, 2, 0), ('conv2d', 103, 16, 16, 2, 89095), ('Mish', 103, 16, 16, 2, 0), ('conv2d', 111, 16, 16, 2, 103008), ('Mish', 111, 16, 16, 2, 0), ('conv2d', 119, 16, 16, 2, 119000), ('Mish', 119, 16, 16, 2, 0), ('conv2d', 128, 16, 16, 2, 137216), ('Mish', 128, 16, 16, 2, 0),...
Mish
2,350,524
10,215,086
2
1,911
63.078125
0.599061
0.349464
0.139679
0.010759
21
0
0
1
1
SUCCESSFUL
0
53.78
38.97
92.75
input_channels:1_num_classes:488_depth:4_arch:pyramid_base_filters:113_batch:6_input_size:18_act:mish_dropout:0.41887709205635515_dropout:True_batchnorm:False.out
4
[('conv2d', 113, 18, 18, 6, 1130), ('Mish', 113, 18, 18, 6, 0), ('dropout', 113, 18, 18, 6, 0), ('conv2d', 233, 18, 18, 6, 237194), ('Mish', 233, 18, 18, 6, 0), ('dropout', 233, 18, 18, 6, 0), ('conv2d', 481, 18, 18, 6, 1009138), ('Mish', 481, 18, 18, 6, 0), ('dropout', 481, 18, 18, 6, 0), ('conv2d', 992, 18, 18, 6, 42...
Mish
1,770,036
6,027,406
6
1,945
71.609375
0.697547
0.4536
0.143627
0.018214
4
0
4
1
1
SUCCESSFUL
0
108
22.99
130.99
input_channels:3_num_classes:147_depth:29_arch:pyramid_base_filters:100_batch:30_input_size:114_act:mish_dropout:0.47809746447217183_dropout:False_batchnorm:False.out
29
[('conv2d', 100, 114, 114, 30, 2800), ('Mish', 100, 114, 114, 30, 0), ('conv2d', 110, 114, 114, 30, 99110), ('Mish', 110, 114, 114, 30, 0), ('conv2d', 123, 114, 114, 30, 121893), ('Mish', 123, 114, 114, 30, 0), ('conv2d', 136, 114, 114, 30, 150688), ('Mish', 136, 114, 114, 30, 0), ('conv2d', 151, 114, 114, 30, 184975),...
Mish
461,126,211
146,679,953
30
39,573
-1
-1
-1
-1
-1
29
0
0
1
1
OOM_CRASH
4.5
158,314.8
559.54
158,878.84
input_channels:1_num_classes:436_depth:26_arch:residual_base_filters:115_batch:32_input_size:208_act:relu_dropout:0.42533898126273517_dropout:True_batchnorm:True.out
30
[('conv2d', 115, 208, 208, 32, 230), ('batchnorm2d', 115, 208, 208, 32, 230), ('conv2d', 115, 208, 208, 32, 1150), ('batchnorm2d', 115, 208, 208, 32, 230), ('ReLU', 115, 208, 208, 32, 0), ('dropout', 115, 208, 208, 32, 0), ('conv2d', 115, 208, 208, 32, 119140), ('batchnorm2d', 115, 208, 208, 32, 230), ('ReLU', 115, 208...
ReLU
92,135,203
7,817,472
32
14,347
93.828125
0.931841
0.908019
0.456135
0.030926
30
30
20
1
1
SUCCESSFUL
5.44
29,241.92
29.82
29,277.18
input_channels:1_num_classes:18_depth:9_arch:residual_base_filters:120_batch:22_input_size:206_act:mish_dropout:0.17243812575151335_dropout:True_batchnorm:True.out
12
[('conv2d', 120, 206, 206, 22, 240), ('batchnorm2d', 120, 206, 206, 22, 240), ('conv2d', 120, 206, 206, 22, 1200), ('batchnorm2d', 120, 206, 206, 22, 240), ('Mish', 120, 206, 206, 22, 0), ('dropout', 120, 206, 206, 22, 0), ('conv2d', 120, 206, 206, 22, 129720), ('batchnorm2d', 120, 206, 206, 22, 240), ('Mish', 120, 206...
Mish
100,520,874
2,953,980
22
13,539
-1
-1
-1
-1
-1
12
12
8
1
1
SUCCESSFUL
3.52
21,933.78
11.27
21,948.57
input_channels:1_num_classes:20_depth:27_arch:pyramid_base_filters:66_batch:56_input_size:78_act:leaky_relu_dropout:0.21110525189138707_dropout:True_batchnorm:True.out
27
[('conv2d', 66, 78, 78, 56, 660), ('batchnorm2d', 66, 78, 78, 56, 132), ('LeakyReLU', 66, 78, 78, 56, 0), ('dropout', 66, 78, 78, 56, 0), ('conv2d', 74, 78, 78, 56, 44030), ('batchnorm2d', 74, 78, 78, 56, 148), ('LeakyReLU', 74, 78, 78, 56, 0), ('dropout', 74, 78, 78, 56, 0), ('conv2d', 85, 78, 78, 56, 56695), ('batchn...
LeakyReLU
355,161,427
114,520,460
56
40,155
27.333333
0.163
0.198
0.055
0.0095
27
27
27
1
1
OOM_CRASH
1.12
189,676.48
436.86
190,114.46
input_channels:1_num_classes:277_depth:27_arch:bottleneck_base_filters:104_batch:12_input_size:36_act:tanh_dropout:0.26115809048712635_dropout:True_batchnorm:False.out
27
[('conv2d', 208, 36, 36, 12, 2080), ('Tanh', 208, 36, 36, 12, 0), ('dropout', 208, 36, 36, 12, 0), ('conv2d', 104, 36, 36, 12, 194792), ('Tanh', 104, 36, 36, 12, 0), ('dropout', 104, 36, 36, 12, 0), ('conv2d', 116, 36, 36, 12, 108692), ('Tanh', 116, 36, 36, 12, 0), ('dropout', 116, 36, 36, 12, 0), ('conv2d', 130, 36, 3...
Tanh
62,991,868
130,802,905
12
6,147
93.96875
0.905769
0.933519
0.246056
0.006857
27
0
27
1
1
SUCCESSFUL
0
7,689.36
498.97
8,188.33
input_channels:3_num_classes:319_depth:20_arch:hourglass_base_filters:42_batch:44_input_size:192_act:tanh_dropout:0.4938783517530353_dropout:False_batchnorm:False.out
20
[('conv2d', 42, 192, 192, 44, 1176), ('Tanh', 42, 192, 192, 44, 0), ('conv2d', 61, 192, 192, 44, 23119), ('Tanh', 61, 192, 192, 44, 0), ('conv2d', 91, 192, 192, 44, 50050), ('Tanh', 91, 192, 192, 44, 0), ('conv2d', 134, 192, 192, 44, 109880), ('Tanh', 134, 192, 192, 44, 0), ('conv2d', 198, 192, 192, 44, 238986), ('Tanh...
Tanh
621,970,088
60,805,381
44
37,907
-1
-1
-1
-1
-1
20
0
0
1
1
OOM_CRASH
18.48
313,186.72
231.95
313,437.15
input_channels:1_num_classes:827_depth:6_arch:gradual_base_filters:116_batch:50_input_size:30_act:swish_dropout:0.1982210181536922_dropout:True_batchnorm:True.out
6
[('conv2d', 116, 30, 30, 50, 1160), ('batchnorm2d', 116, 30, 30, 50, 232), ('SiLU', 116, 30, 30, 50, 0), ('dropout', 116, 30, 30, 50, 0), ('conv2d', 147, 30, 30, 50, 153615), ('batchnorm2d', 147, 30, 30, 50, 294), ('SiLU', 147, 30, 30, 50, 0), ('dropout', 147, 30, 30, 50, 0), ('conv2d', 187, 30, 30, 50, 247588), ('batc...
SiLU
4,941,237
2,807,628
50
3,055
81.783333
0.772063
0.694821
0.298768
0.023571
6
6
6
1
1
SUCCESSFUL
0
2,356
10.71
2,366.71
input_channels:3_num_classes:704_depth:15_arch:uniform_base_filters:23_batch:26_input_size:38_act:tanh_dropout:0.34959088985444564_dropout:True_batchnorm:True.out
15
[('conv2d', 23, 38, 38, 26, 644), ('batchnorm2d', 23, 38, 38, 26, 46), ('Tanh', 23, 38, 38, 26, 0), ('dropout', 23, 38, 38, 26, 0), ('conv2d', 23, 38, 38, 26, 4784), ('batchnorm2d', 23, 38, 38, 26, 46), ('Tanh', 23, 38, 38, 26, 0), ('dropout', 23, 38, 38, 26, 0), ('conv2d', 23, 38, 38, 26, 4784), ('batchnorm2d', 23, 38...
Tanh
1,994,151
85,206
26
1,917
-1
-1
-1
-1
-1
15
15
15
1
1
SUCCESSFUL
0.52
494.26
0.33
495.11
input_channels:3_num_classes:105_depth:24_arch:residual_base_filters:20_batch:12_input_size:196_act:gelu_dropout:0.3479600683013867_dropout:True_batchnorm:False.out
30
[('conv2d', 20, 196, 196, 12, 80), ('conv2d', 20, 196, 196, 12, 560), ('GELU', 20, 196, 196, 12, 0), ('dropout', 20, 196, 196, 12, 0), ('conv2d', 20, 196, 196, 12, 3620), ('GELU', 20, 196, 196, 12, 0), ('dropout', 20, 196, 196, 12, 0), ('conv2d', 24, 98, 98, 12, 504), ('conv2d', 24, 98, 98, 12, 4344), ('GELU', 24, 98, ...
GELU
10,995,587
681,706
12
2,185
-1
-1
-1
-1
-1
30
0
20
1
1
SUCCESSFUL
5.28
1,581.96
2.6
1,589.84
input_channels:1_num_classes:528_depth:15_arch:gradual_base_filters:32_batch:38_input_size:194_act:mish_dropout:0.261367630502634_dropout:False_batchnorm:False.out
15
[('conv2d', 32, 194, 194, 38, 320), ('Mish', 32, 194, 194, 38, 0), ('conv2d', 36, 194, 194, 38, 10404), ('Mish', 36, 194, 194, 38, 0), ('conv2d', 42, 194, 194, 38, 13650), ('Mish', 42, 194, 194, 38, 0), ('conv2d', 48, 194, 194, 38, 18192), ('Mish', 48, 194, 194, 38, 0), ('conv2d', 55, 194, 194, 38, 23815), ('Mish', 55,...
Mish
112,984,550
1,684,984
38
29,891
91.830769
0.924154
0.94525
0.412107
0.072917
15
0
0
1
1
SUCCESSFUL
5.32
49,134
6.43
49,145.75
input_channels:1_num_classes:550_depth:26_arch:gradual_base_filters:124_batch:24_input_size:164_act:relu_dropout:0.32554555872258223_dropout:False_batchnorm:False.out
26
[('conv2d', 124, 164, 164, 24, 1240), ('ReLU', 124, 164, 164, 24, 0), ('conv2d', 130, 164, 164, 24, 145210), ('ReLU', 130, 164, 164, 24, 0), ('conv2d', 138, 164, 164, 24, 161598), ('ReLU', 138, 164, 164, 24, 0), ('conv2d', 145, 164, 164, 24, 180235), ('ReLU', 145, 164, 164, 24, 0), ('conv2d', 153, 164, 164, 24, 199818)...
ReLU
368,046,441
17,936,049
24
36,859
91.292308
0.936094
0.954852
0.328093
0.005358
26
0
0
1
1
SUCCESSFUL
2.4
101,086.8
68.42
101,157.62
input_channels:1_num_classes:590_depth:5_arch:uniform_base_filters:47_batch:40_input_size:142_act:selu_dropout:0.20120232463399215_dropout:True_batchnorm:True.out
5
[('conv2d', 47, 142, 142, 40, 470), ('batchnorm2d', 47, 142, 142, 40, 94), ('SELU', 47, 142, 142, 40, 0), ('dropout', 47, 142, 142, 40, 0), ('conv2d', 47, 142, 142, 40, 19928), ('batchnorm2d', 47, 142, 142, 40, 94), ('SELU', 47, 142, 142, 40, 0), ('dropout', 47, 142, 142, 40, 0), ('conv2d', 47, 142, 142, 40, 19928), ('...
SELU
18,955,387
108,972
40
5,005
-1
-1
-1
-1
-1
5
5
5
1
1
SUCCESSFUL
3.2
7,230.8
0.42
7,234.42
input_channels:3_num_classes:711_depth:12_arch:pyramid_base_filters:108_batch:10_input_size:198_act:gelu_dropout:0.42541089454737213_dropout:False_batchnorm:True.out
12
[('conv2d', 108, 198, 198, 10, 3024), ('batchnorm2d', 108, 198, 198, 10, 216), ('GELU', 108, 198, 198, 10, 0), ('conv2d', 138, 198, 198, 10, 134274), ('batchnorm2d', 138, 198, 198, 10, 276), ('GELU', 138, 198, 198, 10, 0), ('conv2d', 176, 198, 198, 10, 218768), ('batchnorm2d', 176, 198, 198, 10, 352), ('GELU', 176, 198...
GELU
820,464,336
47,564,445
10
38,417
33.142857
0.109
0.001
0
0.003
12
12
0
1
1
OOM_CRASH
4.5
83,461.9
181.44
83,647.84
input_channels:3_num_classes:10_depth:12_arch:gradual_base_filters:94_batch:26_input_size:46_act:relu_dropout:0.22705948392912126_dropout:False_batchnorm:True.out
12
[('conv2d', 94, 46, 46, 26, 2632), ('batchnorm2d', 94, 46, 46, 26, 188), ('ReLU', 94, 46, 46, 26, 0), ('conv2d', 106, 46, 46, 26, 89782), ('batchnorm2d', 106, 46, 46, 26, 212), ('ReLU', 106, 46, 46, 26, 0), ('conv2d', 121, 46, 46, 26, 115555), ('batchnorm2d', 121, 46, 46, 26, 242), ('ReLU', 121, 46, 46, 26, 0), ('conv2...
ReLU
15,940,233
4,890,104
26
3,611
-1
-1
-1
-1
-1
12
12
0
1
1
SUCCESSFUL
0.52
4,215.9
18.65
4,235.07
input_channels:1_num_classes:560_depth:3_arch:bottleneck_base_filters:119_batch:6_input_size:66_act:swish_dropout:0.22908935906053043_dropout:True_batchnorm:True.out
3
[('conv2d', 238, 66, 66, 6, 2380), ('batchnorm2d', 238, 66, 66, 6, 476), ('SiLU', 238, 66, 66, 6, 0), ('dropout', 238, 66, 66, 6, 0), ('conv2d', 119, 66, 66, 6, 255017), ('batchnorm2d', 119, 66, 66, 6, 238), ('SiLU', 119, 66, 66, 6, 0), ('dropout', 119, 66, 66, 6, 0), ('conv2d', 493, 66, 66, 6, 528496), ('batchnorm2d',...
SiLU
14,812,013
1,064,233
6
2,251
85.190476
0.819672
0.744218
0.368636
0.034
3
3
3
1
1
SUCCESSFUL
0.12
847.56
4.06
851.74
input_channels:3_num_classes:800_depth:29_arch:pyramid_base_filters:26_batch:6_input_size:92_act:prelu_dropout:0.14720633868612643_dropout:True_batchnorm:False.out
29
[('conv2d', 26, 92, 92, 6, 728), ('PReLU', 26, 92, 92, 6, 0), ('dropout', 26, 92, 92, 6, 0), ('conv2d', 30, 92, 92, 6, 7050), ('PReLU', 30, 92, 92, 6, 0), ('dropout', 30, 92, 92, 6, 0), ('conv2d', 35, 92, 92, 6, 9485), ('PReLU', 35, 92, 92, 6, 0), ('dropout', 35, 92, 92, 6, 0), ('conv2d', 40, 92, 92, 6, 12640), ('PReLU...
PReLU
315,651,313
93,705,106
6
11,231
93.936508
0.926734
0.939362
0.242121
0.006368
29
0
29
1
1
SUCCESSFUL
0.6
19,265.76
357.46
19,623.82
input_channels:1_num_classes:40_depth:23_arch:residual_base_filters:118_batch:30_input_size:80_act:relu_dropout:0.1896812505587463_dropout:True_batchnorm:True.out
24
[('conv2d', 118, 80, 80, 30, 236), ('batchnorm2d', 118, 80, 80, 30, 236), ('conv2d', 118, 80, 80, 30, 1180), ('batchnorm2d', 118, 80, 80, 30, 236), ('ReLU', 118, 80, 80, 30, 0), ('dropout', 118, 80, 80, 30, 0), ('conv2d', 118, 80, 80, 30, 125434), ('batchnorm2d', 118, 80, 80, 30, 236), ('ReLU', 118, 80, 80, 30, 0), ('d...
ReLU
14,089,611
5,418,736
30
3,763
-1
-1
-1
-1
-1
24
24
16
1
1
SUCCESSFUL
0.6
4,192.2
20.67
4,213.47
input_channels:3_num_classes:206_depth:15_arch:gradual_base_filters:84_batch:40_input_size:180_act:tanh_dropout:0.24401401980736015_dropout:True_batchnorm:True.out
15
[('conv2d', 84, 180, 180, 40, 2352), ('batchnorm2d', 84, 180, 180, 40, 168), ('Tanh', 84, 180, 180, 40, 0), ('dropout', 84, 180, 180, 40, 0), ('conv2d', 93, 180, 180, 40, 70401), ('batchnorm2d', 93, 180, 180, 40, 186), ('Tanh', 93, 180, 180, 40, 0), ('dropout', 93, 180, 180, 40, 0), ('conv2d', 103, 180, 180, 40, 86314)...
Tanh
380,506,384
5,627,540
40
39,271
25.6
0.075857
0.1865
0.0725
0.018
15
15
15
1
1
OOM_CRASH
14.8
145,151.6
21.47
145,187.87
input_channels:3_num_classes:144_depth:16_arch:gradual_base_filters:120_batch:62_input_size:70_act:prelu_dropout:0.2926956641591097_dropout:True_batchnorm:True.out
16
[('conv2d', 120, 70, 70, 62, 3360), ('batchnorm2d', 120, 70, 70, 62, 240), ('PReLU', 120, 70, 70, 62, 0), ('dropout', 120, 70, 70, 62, 0), ('conv2d', 131, 70, 70, 62, 141611), ('batchnorm2d', 131, 70, 70, 62, 262), ('PReLU', 131, 70, 70, 62, 0), ('dropout', 131, 70, 70, 62, 0), ('conv2d', 143, 70, 70, 62, 168740), ('ba...
PReLU
79,302,341
9,752,055
62
27,037
-1
-1
-1
-1
-1
16
16
16
1
1
SUCCESSFUL
3.72
46,889.36
37.2
46,930.28
input_channels:3_num_classes:278_depth:15_arch:dense_base_filters:21_batch:12_input_size:164_act:gelu_dropout:0.4947146067886302_dropout:False_batchnorm:False.out
13
[('conv2d', 32, 164, 164, 12, 896), ('GELU', 32, 164, 164, 12, 0), ('conv2d', 32, 164, 164, 12, 10112), ('GELU', 32, 164, 164, 12, 0), ('conv2d', 32, 164, 164, 12, 19328), ('GELU', 32, 164, 164, 12, 0), ('conv2d', 32, 164, 164, 12, 28544), ('GELU', 32, 164, 164, 12, 0), ('conv2d', 65, 164, 164, 12, 8580), ('ReLU', 65, ...
GELU
13,825,421
565,040
12
4,081
-1
-1
-1
-1
-1
13
0
0
1
1
SUCCESSFUL
3.72
2,617.56
2.16
2,623.44
input_channels:3_num_classes:325_depth:25_arch:hourglass_base_filters:63_batch:56_input_size:68_act:selu_dropout:0.33258784957589804_dropout:True_batchnorm:True.out
25
[('conv2d', 63, 68, 68, 56, 1764), ('batchnorm2d', 63, 68, 68, 56, 126), ('SELU', 63, 68, 68, 56, 0), ('dropout', 63, 68, 68, 56, 0), ('conv2d', 84, 68, 68, 56, 47712), ('batchnorm2d', 84, 68, 68, 56, 168), ('SELU', 84, 68, 68, 56, 0), ('dropout', 84, 68, 68, 56, 0), ('conv2d', 112, 68, 68, 56, 84784), ('batchnorm2d', ...
SELU
228,426,313
98,100,871
56
40,127
21.6
0.16
0.4495
0.0985
0.017
25
25
25
1
1
OOM_CRASH
2.8
121,992.64
374.23
122,369.67
input_channels:3_num_classes:702_depth:21_arch:uniform_base_filters:49_batch:38_input_size:184_act:selu_dropout:0.4999704283743701_dropout:False_batchnorm:True.out
21
[('conv2d', 49, 184, 184, 38, 1372), ('batchnorm2d', 49, 184, 184, 38, 98), ('SELU', 49, 184, 184, 38, 0), ('conv2d', 49, 184, 184, 38, 21658), ('batchnorm2d', 49, 184, 184, 38, 98), ('SELU', 49, 184, 184, 38, 0), ('conv2d', 49, 184, 184, 38, 21658), ('batchnorm2d', 49, 184, 184, 38, 98), ('SELU', 49, 184, 184, 38, 0),...
SELU
104,514,925
471,690
38
19,687
94.21875
0.916937
0.786161
0.412893
0.0362
21
21
0
1
1
SUCCESSFUL
14.82
40,400.84
1.8
40,417.46
input_channels:1_num_classes:602_depth:17_arch:pyramid_base_filters:120_batch:6_input_size:72_act:tanh_dropout:0.24139773773871182_dropout:True_batchnorm:True.out
17
[('conv2d', 120, 72, 72, 6, 1200), ('batchnorm2d', 120, 72, 72, 6, 240), ('Tanh', 120, 72, 72, 6, 0), ('dropout', 120, 72, 72, 6, 0), ('conv2d', 141, 72, 72, 6, 152421), ('batchnorm2d', 141, 72, 72, 6, 282), ('Tanh', 141, 72, 72, 6, 0), ('dropout', 141, 72, 72, 6, 0), ('conv2d', 167, 72, 72, 6, 212090), ('batchnorm2d',...
Tanh
219,928,953
81,224,475
6
8,097
-1
-1
-1
-1
-1
17
17
17
1
1
SUCCESSFUL
0.12
12,584.4
309.85
12,894.37
input_channels:3_num_classes:967_depth:1_arch:uniform_base_filters:16_batch:50_input_size:152_act:selu_dropout:0.4234466825055473_dropout:False_batchnorm:True.out
1
[('conv2d', 16, 152, 152, 50, 448), ('batchnorm2d', 16, 152, 152, 50, 32), ('SELU', 16, 152, 152, 50, 0), ('adaptive_avg_pool2d', 0, 0, 16, 50, 0), ('linear', 0, 0, 967, 50, 16439), ('softmax', 0, 0, 967, 50, 0)]
SELU
1,110,942
16,919
50
2,117
31.047619
0.258754
0.094741
0.046241
0.023983
1
1
0
1
1
SUCCESSFUL
13
565
0.06
578.06
input_channels:3_num_classes:155_depth:6_arch:dense_base_filters:26_batch:62_input_size:144_act:relu_dropout:0.27257283584644365_dropout:False_batchnorm:True.out
4
[('conv2d', 32, 144, 144, 62, 896), ('batchnorm2d', 32, 144, 144, 62, 64), ('ReLU', 32, 144, 144, 62, 0), ('conv2d', 32, 144, 144, 62, 10112), ('batchnorm2d', 32, 144, 144, 62, 64), ('ReLU', 32, 144, 144, 62, 0), ('conv2d', 32, 144, 144, 62, 19328), ('batchnorm2d', 32, 144, 144, 62, 64), ('ReLU', 32, 144, 144, 62, 0), ...
ReLU
7,963,065
79,596
62
6,713
-1
-1
-1
-1
-1
4
4
0
1
1
SUCCESSFUL
14.88
6,307.26
0.3
6,322.44
input_channels:3_num_classes:119_depth:29_arch:bottleneck_base_filters:61_batch:42_input_size:116_act:prelu_dropout:0.17875590244247308_dropout:False_batchnorm:True.out
29
[('conv2d', 122, 116, 116, 42, 3416), ('batchnorm2d', 122, 116, 116, 42, 244), ('PReLU', 122, 116, 116, 42, 0), ('conv2d', 61, 116, 116, 42, 67039), ('batchnorm2d', 61, 116, 116, 42, 122), ('PReLU', 61, 116, 116, 42, 0), ('conv2d', 69, 116, 116, 42, 37950), ('batchnorm2d', 69, 116, 116, 42, 138), ('PReLU', 69, 116, 116...
PReLU
604,189,900
116,764,997
42
39,345
16
0.121
0
0
0
29
29
0
1
1
OOM_CRASH
6.3
258,137.46
445.42
258,589.18
input_channels:1_num_classes:443_depth:11_arch:residual_base_filters:107_batch:24_input_size:24_act:mish_dropout:0.4585275602470451_dropout:True_batchnorm:False.out
12
[('conv2d', 107, 24, 24, 24, 214), ('conv2d', 107, 24, 24, 24, 1070), ('Mish', 107, 24, 24, 24, 0), ('dropout', 107, 24, 24, 24, 0), ('conv2d', 107, 24, 24, 24, 103148), ('Mish', 107, 24, 24, 24, 0), ('dropout', 107, 24, 24, 24, 0), ('conv2d', 139, 12, 12, 24, 15012), ('conv2d', 139, 12, 12, 24, 133996), ('Mish', 139, ...
Mish
817,353
2,042,284
24
1,811
-1
-1
-1
-1
-1
12
0
8
1
1
SUCCESSFUL
0
234.96
7.79
242.75
input_channels:3_num_classes:893_depth:13_arch:gradual_base_filters:80_batch:2_input_size:158_act:relu_dropout:0.1017436294834059_dropout:True_batchnorm:True.out
13
[('conv2d', 80, 158, 158, 2, 2240), ('batchnorm2d', 80, 158, 158, 2, 160), ('ReLU', 80, 158, 158, 2, 0), ('dropout', 80, 158, 158, 2, 0), ('conv2d', 90, 158, 158, 2, 64890), ('batchnorm2d', 90, 158, 158, 2, 180), ('ReLU', 90, 158, 158, 2, 0), ('dropout', 90, 158, 158, 2, 0), ('conv2d', 102, 158, 158, 2, 82722), ('batch...
ReLU
243,550,927
4,673,453
2
3,751
93.59375
0.923922
0.857536
0.348554
0.016792
13
13
13
1
1
SUCCESSFUL
0.58
4,645.36
17.83
4,663.77
input_channels:3_num_classes:549_depth:1_arch:hourglass_base_filters:81_batch:50_input_size:36_act:elu_dropout:0.29504683569951695_dropout:True_batchnorm:True.out
1
[('conv2d', 81, 36, 36, 50, 2268), ('batchnorm2d', 81, 36, 36, 50, 162), ('ELU', 81, 36, 36, 50, 0), ('dropout', 81, 36, 36, 50, 0), ('adaptive_avg_pool2d', 0, 0, 81, 50, 0), ('linear', 0, 0, 549, 50, 45018), ('softmax', 0, 0, 549, 50, 0)]
ELU
421,083
47,448
50
1,855
27.47619
0.249095
0.179179
0.064536
0.01487
1
1
1
1
1
SUCCESSFUL
0.5
200.5
0.18
201.18
input_channels:1_num_classes:587_depth:13_arch:residual_base_filters:103_batch:6_input_size:158_act:tanh_dropout:0.4079481750741203_dropout:True_batchnorm:False.out
18
[('conv2d', 103, 158, 158, 6, 206), ('conv2d', 103, 158, 158, 6, 1030), ('Tanh', 103, 158, 158, 6, 0), ('dropout', 103, 158, 158, 6, 0), ('conv2d', 103, 158, 158, 6, 95584), ('Tanh', 103, 158, 158, 6, 0), ('dropout', 103, 158, 158, 6, 0), ('conv2d', 129, 79, 79, 6, 13416), ('conv2d', 129, 79, 79, 6, 119712), ('Tanh', 1...
Tanh
36,852,747
4,652,928
6
2,769
-1
-1
-1
-1
-1
18
0
12
1
1
SUCCESSFUL
0.6
2,650.92
17.75
2,669.27
input_channels:1_num_classes:860_depth:17_arch:residual_base_filters:83_batch:58_input_size:56_act:prelu_dropout:0.20911029030602776_dropout:True_batchnorm:True.out
18
[('conv2d', 83, 56, 56, 58, 166), ('batchnorm2d', 83, 56, 56, 58, 166), ('conv2d', 83, 56, 56, 58, 830), ('batchnorm2d', 83, 56, 56, 58, 166), ('PReLU', 83, 56, 56, 58, 0), ('dropout', 83, 56, 56, 58, 0), ('conv2d', 83, 56, 56, 58, 62084), ('batchnorm2d', 83, 56, 56, 58, 166), ('PReLU', 83, 56, 56, 58, 0), ('dropout', ...
PReLU
5,072,943
2,367,640
58
3,091
78.328125
0.797222
0.690193
0.31414
0.079035
18
18
12
1
1
SUCCESSFUL
0.58
2,917.98
9.03
2,927.59
input_channels:1_num_classes:115_depth:20_arch:hourglass_base_filters:60_batch:40_input_size:178_act:tanh_dropout:0.47400392643975786_dropout:False_batchnorm:True.out
20
[('conv2d', 60, 178, 178, 40, 600), ('batchnorm2d', 60, 178, 178, 40, 120), ('Tanh', 60, 178, 178, 40, 0), ('conv2d', 85, 178, 178, 40, 45985), ('batchnorm2d', 85, 178, 178, 40, 170), ('Tanh', 85, 178, 178, 40, 0), ('conv2d', 121, 178, 178, 40, 92686), ('batchnorm2d', 121, 178, 178, 40, 242), ('Tanh', 121, 178, 178, 40...
Tanh
891,778,154
70,168,345
40
37,197
-1
-1
-1
-1
-1
20
20
0
1
1
OOM_CRASH
4.8
362,865.6
267.67
363,138.07
input_channels:3_num_classes:716_depth:25_arch:uniform_base_filters:67_batch:28_input_size:122_act:relu_dropout:0.15847180473056965_dropout:False_batchnorm:True.out
25
[('conv2d', 67, 122, 122, 28, 1876), ('batchnorm2d', 67, 122, 122, 28, 134), ('ReLU', 67, 122, 122, 28, 0), ('conv2d', 67, 122, 122, 28, 40468), ('batchnorm2d', 67, 122, 122, 28, 134), ('ReLU', 67, 122, 122, 28, 0), ('conv2d', 67, 122, 122, 28, 40468), ('batchnorm2d', 67, 122, 122, 28, 134), ('ReLU', 67, 122, 122, 28, ...
ReLU
74,793,599
1,025,146
28
8,269
-1
-1
-1
-1
-1
25
25
0
1
1
SUCCESSFUL
4.76
21,303.52
3.91
21,312.19
input_channels:3_num_classes:535_depth:12_arch:residual_base_filters:113_batch:10_input_size:48_act:elu_dropout:0.16202355713500044_dropout:False_batchnorm:False.out
18
[('conv2d', 113, 48, 48, 10, 452), ('conv2d', 113, 48, 48, 10, 3164), ('ELU', 113, 48, 48, 10, 0), ('conv2d', 113, 48, 48, 10, 115034), ('ELU', 113, 48, 48, 10, 0), ('conv2d', 143, 24, 24, 10, 16302), ('conv2d', 143, 24, 24, 10, 145574), ('ELU', 143, 24, 24, 10, 0), ('conv2d', 143, 24, 24, 10, 184184), ('ELU', 143, 24,...
ELU
2,690,827
6,021,594
10
1,979
-1
-1
-1
-1
-1
18
0
0
1
1
SUCCESSFUL
0.3
369.4
22.97
392.67
input_channels:3_num_classes:219_depth:11_arch:gradual_base_filters:63_batch:26_input_size:8_act:relu_dropout:0.2810182220107227_dropout:False_batchnorm:False.out
11
[('conv2d', 63, 8, 8, 26, 1764), ('ReLU', 63, 8, 8, 26, 0), ('conv2d', 73, 8, 8, 26, 41464), ('ReLU', 73, 8, 8, 26, 0), ('conv2d', 86, 8, 8, 26, 56588), ('ReLU', 86, 8, 8, 26, 0), ('conv2d', 101, 8, 8, 26, 78275), ('ReLU', 101, 8, 8, 26, 0), ('conv2d', 118, 8, 8, 26, 107380), ('ReLU', 118, 8, 8, 26, 0), ('conv2d', 138,...
ReLU
221,032
2,602,715
26
1,779
-1
-1
-1
-1
-1
11
0
0
1
1
SUCCESSFUL
0
65.78
9.93
75.71
input_channels:3_num_classes:46_depth:4_arch:uniform_base_filters:102_batch:14_input_size:42_act:prelu_dropout:0.23329087332715398_dropout:False_batchnorm:True.out
4
[('conv2d', 102, 42, 42, 14, 2856), ('batchnorm2d', 102, 42, 42, 14, 204), ('PReLU', 102, 42, 42, 14, 0), ('conv2d', 102, 42, 42, 14, 93738), ('batchnorm2d', 102, 42, 42, 14, 204), ('PReLU', 102, 42, 42, 14, 0), ('conv2d', 102, 42, 42, 14, 93738), ('batchnorm2d', 102, 42, 42, 14, 204), ('PReLU', 102, 42, 42, 14, 0), ('...
PReLU
2,159,330
289,624
14
1,913
-1
-1
-1
-1
-1
4
4
0
1
1
SUCCESSFUL
0.28
307.58
1.1
308.96
input_channels:3_num_classes:395_depth:18_arch:dense_base_filters:33_batch:16_input_size:42_act:softplus_dropout:0.13773638693442358_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 42, 42, 16, 896), ('Softplus', 32, 42, 42, 16, 0), ('conv2d', 32, 42, 42, 16, 10112), ('Softplus', 32, 42, 42, 16, 0), ('conv2d', 32, 42, 42, 16, 19328), ('Softplus', 32, 42, 42, 16, 0), ('conv2d', 32, 42, 42, 16, 28544), ('Softplus', 32, 42, 42, 16, 0), ('conv2d', 65, 42, 42, 16, 8580), ('ReLU', 65, 42...
Softplus
1,020,831
1,078,490
16
1,959
-1
-1
-1
-1
-1
17
0
0
1
1
SUCCESSFUL
0.32
273.92
4.11
278.35
input_channels:3_num_classes:664_depth:25_arch:pyramid_base_filters:27_batch:16_input_size:206_act:selu_dropout:0.360727593352293_dropout:False_batchnorm:False.out
25
[('conv2d', 27, 206, 206, 16, 756), ('SELU', 27, 206, 206, 16, 0), ('conv2d', 32, 206, 206, 16, 7808), ('SELU', 32, 206, 206, 16, 0), ('conv2d', 38, 206, 206, 16, 10982), ('SELU', 38, 206, 206, 16, 0), ('conv2d', 45, 206, 206, 16, 15435), ('SELU', 45, 206, 206, 16, 0), ('conv2d', 53, 206, 206, 16, 21518), ('SELU', 53, ...
SELU
906,351,138
77,765,190
16
37,801
26.4
0.14725
0
0
0
25
0
0
1
1
OOM_CRASH
7.84
165,957.6
296.65
166,262.09
input_channels:3_num_classes:522_depth:23_arch:dense_base_filters:49_batch:50_input_size:162_act:mish_dropout:0.3222701473635804_dropout:False_batchnorm:False.out
21
[('conv2d', 32, 162, 162, 50, 896), ('Mish', 32, 162, 162, 50, 0), ('conv2d', 32, 162, 162, 50, 10112), ('Mish', 32, 162, 162, 50, 0), ('conv2d', 32, 162, 162, 50, 19328), ('Mish', 32, 162, 162, 50, 0), ('conv2d', 32, 162, 162, 50, 28544), ('Mish', 32, 162, 162, 50, 0), ('conv2d', 65, 162, 162, 50, 8580), ('ReLU', 65, ...
Mish
16,850,269
1,775,128
50
16,455
-1
-1
-1
-1
-1
21
0
0
1
1
SUCCESSFUL
15
15,132.5
6.77
15,154.27
input_channels:1_num_classes:44_depth:11_arch:pyramid_base_filters:52_batch:2_input_size:96_act:relu_dropout:0.36434504057667205_dropout:True_batchnorm:False.out
11
[('conv2d', 52, 96, 96, 2, 520), ('ReLU', 52, 96, 96, 2, 0), ('dropout', 52, 96, 96, 2, 0), ('conv2d', 72, 96, 96, 2, 33768), ('ReLU', 72, 96, 96, 2, 0), ('dropout', 72, 96, 96, 2, 0), ('conv2d', 101, 96, 96, 2, 65549), ('ReLU', 101, 96, 96, 2, 0), ('dropout', 101, 96, 96, 2, 0), ('conv2d', 141, 96, 96, 2, 128310), ('R...
ReLU
139,070,994
28,458,494
2
3,349
94.640625
0.924359
0.919582
0.257164
0.006786
11
0
11
1
1
SUCCESSFUL
0.08
2,829.4
108.56
2,938.04
input_channels:1_num_classes:705_depth:13_arch:bottleneck_base_filters:57_batch:60_input_size:40_act:leaky_relu_dropout:0.2447076347410825_dropout:False_batchnorm:False.out
13
[('conv2d', 114, 40, 40, 60, 1140), ('LeakyReLU', 114, 40, 40, 60, 0), ('conv2d', 57, 40, 40, 60, 58539), ('LeakyReLU', 57, 40, 40, 60, 0), ('conv2d', 76, 40, 40, 60, 39064), ('LeakyReLU', 76, 40, 40, 60, 0), ('conv2d', 103, 40, 40, 60, 70555), ('LeakyReLU', 103, 40, 40, 60, 0), ('conv2d', 139, 40, 40, 60, 128992), ('L...
LeakyReLU
18,668,529
35,345,140
60
9,583
92.890625
0.929841
0.965315
0.235926
0.004929
13
0
0
1
1
SUCCESSFUL
0.6
12,817.8
134.83
12,953.23
input_channels:1_num_classes:318_depth:14_arch:bottleneck_base_filters:86_batch:58_input_size:118_act:leaky_relu_dropout:0.2746576649636117_dropout:True_batchnorm:False.out
14
[('conv2d', 172, 118, 118, 58, 1720), ('LeakyReLU', 172, 118, 118, 58, 0), ('dropout', 172, 118, 118, 58, 0), ('conv2d', 86, 118, 118, 58, 133214), ('LeakyReLU', 86, 118, 118, 58, 0), ('dropout', 86, 118, 118, 58, 0), ('conv2d', 109, 118, 118, 58, 84475), ('LeakyReLU', 109, 118, 118, 58, 0), ('dropout', 109, 118, 118, ...
LeakyReLU
303,768,224
47,532,654
58
37,977
-1
-1
-1
-1
-1
14
0
14
1
1
OOM_CRASH
2.9
179,224.64
181.32
179,408.86
input_channels:3_num_classes:592_depth:19_arch:uniform_base_filters:28_batch:62_input_size:188_act:swish_dropout:0.19871450365602686_dropout:False_batchnorm:True.out
19
[('conv2d', 28, 188, 188, 62, 784), ('batchnorm2d', 28, 188, 188, 62, 56), ('SiLU', 28, 188, 188, 62, 0), ('conv2d', 28, 188, 188, 62, 7084), ('batchnorm2d', 28, 188, 188, 62, 56), ('SiLU', 28, 188, 188, 62, 0), ('conv2d', 28, 188, 188, 62, 7084), ('batchnorm2d', 28, 188, 188, 62, 56), ('SiLU', 28, 188, 188, 62, 0), ('...
SiLU
56,410,236
146,528
62
16,453
93.515625
0.909172
0.616691
0.309273
0.113073
19
19
0
1
1
SUCCESSFUL
24.8
35,577.46
0.56
35,602.82
input_channels:3_num_classes:760_depth:9_arch:dense_base_filters:80_batch:22_input_size:186_act:prelu_dropout:0.37324045368526826_dropout:True_batchnorm:False.out
9
[('conv2d', 32, 186, 186, 22, 896), ('PReLU', 32, 186, 186, 22, 0), ('dropout', 32, 186, 186, 22, 0), ('conv2d', 32, 186, 186, 22, 10112), ('PReLU', 32, 186, 186, 22, 0), ('dropout', 32, 186, 186, 22, 0), ('conv2d', 32, 186, 186, 22, 19328), ('PReLU', 32, 186, 186, 22, 0), ('dropout', 32, 186, 186, 22, 0), ('conv2d', 3...
PReLU
21,105,273
345,204
22
5,867
-1
-1
-1
-1
-1
9
0
8
1
1
SUCCESSFUL
8.8
6,078.6
1.32
6,088.72
input_channels:1_num_classes:635_depth:22_arch:bottleneck_base_filters:69_batch:46_input_size:54_act:softplus_dropout:0.44468360111418437_dropout:False_batchnorm:True.out
22
[('conv2d', 138, 54, 54, 46, 1380), ('batchnorm2d', 138, 54, 54, 46, 276), ('Softplus', 138, 54, 54, 46, 0), ('conv2d', 69, 54, 54, 46, 85767), ('batchnorm2d', 69, 54, 54, 46, 138), ('Softplus', 69, 54, 54, 46, 0), ('conv2d', 81, 54, 54, 46, 50382), ('batchnorm2d', 81, 54, 54, 46, 162), ('Softplus', 81, 54, 54, 46, 0),...
Softplus
99,913,920
85,253,637
46
33,609
92.893939
0.937328
0.969648
0.244648
0.016891
22
22
0
1
1
SUCCESSFUL
0.46
46,753.02
325.22
47,078.7
input_channels:3_num_classes:889_depth:4_arch:residual_base_filters:113_batch:8_input_size:140_act:elu_dropout:0.2417227179846643_dropout:False_batchnorm:False.out
6
[('conv2d', 113, 140, 140, 8, 452), ('conv2d', 113, 140, 140, 8, 3164), ('ELU', 113, 140, 140, 8, 0), ('conv2d', 113, 140, 140, 8, 115034), ('ELU', 113, 140, 140, 8, 0), ('conv2d', 233, 70, 70, 8, 26562), ('conv2d', 233, 70, 70, 8, 237194), ('ELU', 233, 70, 70, 8, 0), ('conv2d', 233, 70, 70, 8, 488834), ('ELU', 233, 70...
ELU
16,784,511
1,079,266
8
3,039
86.359375
0.847578
0.776196
0.430661
0.03107
6
0
0
1
1
SUCCESSFUL
1.76
1,843.92
4.12
1,849.8
input_channels:1_num_classes:203_depth:3_arch:gradual_base_filters:29_batch:28_input_size:8_act:swish_dropout:0.1714208485508213_dropout:False_batchnorm:True.out
3
[('conv2d', 29, 8, 8, 28, 290), ('batchnorm2d', 29, 8, 8, 28, 58), ('SiLU', 29, 8, 8, 28, 0), ('conv2d', 58, 8, 8, 28, 15196), ('batchnorm2d', 58, 8, 8, 28, 116), ('SiLU', 58, 8, 8, 28, 0), ('conv2d', 119, 8, 8, 28, 62237), ('batchnorm2d', 119, 8, 8, 28, 238), ('SiLU', 119, 8, 8, 28, 0), ('adaptive_avg_pool2d', 0, 0, 1...
SiLU
40,077
102,495
28
1,747
-1
-1
-1
-1
-1
3
3
0
1
1
SUCCESSFUL
0
11.48
0.39
11.87