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:681_depth:3_arch:gradual_base_filters:54_batch:32_input_size:36_act:mish_dropout:0.3693401552270871_dropout:False_batchnorm:False.out
3
[('conv2d', 54, 36, 36, 32, 1512), ('Mish', 54, 36, 36, 32, 0), ('conv2d', 98, 36, 36, 32, 47726), ('Mish', 98, 36, 36, 32, 0), ('conv2d', 181, 36, 36, 32, 159823), ('Mish', 181, 36, 36, 32, 0), ('adaptive_avg_pool2d', 0, 0, 181, 32, 0), ('linear', 0, 0, 681, 32, 123942), ('softmax', 0, 0, 681, 32, 0)]
Mish
864,679
333,003
32
1,925
-1
-1
-1
-1
-1
3
0
0
1
1
SUCCESSFUL
0.32
316.48
1.27
318.07
input_channels:3_num_classes:995_depth:13_arch:bottleneck_base_filters:55_batch:22_input_size:26_act:elu_dropout:0.45154953710325496_dropout:True_batchnorm:False.out
13
[('conv2d', 110, 26, 26, 22, 3080), ('ELU', 110, 26, 26, 22, 0), ('dropout', 110, 26, 26, 22, 0), ('conv2d', 55, 26, 26, 22, 54505), ('ELU', 55, 26, 26, 22, 0), ('dropout', 55, 26, 26, 22, 0), ('conv2d', 74, 26, 26, 22, 36704), ('ELU', 74, 26, 26, 22, 0), ('dropout', 74, 26, 26, 22, 0), ('conv2d', 100, 26, 26, 22, 6670...
ELU
11,705,065
35,240,970
22
3,511
-1
-1
-1
-1
-1
13
0
13
1
1
SUCCESSFUL
0.22
2,619.32
134.43
2,753.97
input_channels:1_num_classes:575_depth:9_arch:pyramid_base_filters:81_batch:48_input_size:28_act:tanh_dropout:0.3332161820474243_dropout:True_batchnorm:False.out
9
[('conv2d', 81, 28, 28, 48, 810), ('Tanh', 81, 28, 28, 48, 0), ('dropout', 81, 28, 28, 48, 0), ('conv2d', 115, 28, 28, 48, 83950), ('Tanh', 115, 28, 28, 48, 0), ('dropout', 115, 28, 28, 48, 0), ('conv2d', 166, 28, 28, 48, 171976), ('Tanh', 166, 28, 28, 48, 0), ('dropout', 166, 28, 28, 48, 0), ('conv2d', 237, 28, 28, 48...
Tanh
10,708,884
25,832,077
48
4,417
91.703125
0.899047
0.8945
0.260783
0.007797
9
0
9
1
1
SUCCESSFUL
0
5,228.64
98.54
5,327.18
input_channels:1_num_classes:93_depth:19_arch:dense_base_filters:30_batch:4_input_size:144_act:relu_dropout:0.25667059407700155_dropout:True_batchnorm:False.out
17
[('conv2d', 32, 144, 144, 4, 320), ('ReLU', 32, 144, 144, 4, 0), ('dropout', 32, 144, 144, 4, 0), ('conv2d', 32, 144, 144, 4, 9536), ('ReLU', 32, 144, 144, 4, 0), ('dropout', 32, 144, 144, 4, 0), ('conv2d', 32, 144, 144, 4, 18752), ('ReLU', 32, 144, 144, 4, 0), ('dropout', 32, 144, 144, 4, 0), ('conv2d', 32, 144, 144, ...
ReLU
16,589,434
936,477
4
2,479
88.53125
0.879127
0.712926
0.3075
0.152944
17
0
16
1
1
SUCCESSFUL
0.32
942.28
3.57
946.17
input_channels:3_num_classes:257_depth:4_arch:hourglass_base_filters:127_batch:30_input_size:182_act:gelu_dropout:0.16184805325965237_dropout:False_batchnorm:False.out
4
[('conv2d', 127, 182, 182, 30, 3556), ('GELU', 127, 182, 182, 30, 0), ('conv2d', 509, 182, 182, 30, 582296), ('GELU', 509, 182, 182, 30, 0), ('conv2d', 509, 182, 182, 30, 2332238), ('GELU', 509, 182, 182, 30, 0), ('conv2d', 127, 182, 182, 30, 581914), ('GELU', 127, 182, 182, 30, 0), ('adaptive_avg_pool2d', 0, 0, 127, 3...
GELU
84,268,097
3,532,900
30
24,985
94.09375
0.931516
0.98383
0.361604
0.0282
4
0
0
1
1
SUCCESSFUL
11.4
28,931.1
13.48
28,955.98
input_channels:1_num_classes:225_depth:14_arch:bottleneck_base_filters:109_batch:44_input_size:68_act:selu_dropout:0.290269147272718_dropout:True_batchnorm:False.out
14
[('conv2d', 218, 68, 68, 44, 2180), ('SELU', 218, 68, 68, 44, 0), ('dropout', 218, 68, 68, 44, 0), ('conv2d', 109, 68, 68, 44, 213967), ('SELU', 109, 68, 68, 44, 0), ('dropout', 109, 68, 68, 44, 0), ('conv2d', 136, 68, 68, 44, 133552), ('SELU', 136, 68, 68, 44, 0), ('dropout', 136, 68, 68, 44, 0), ('conv2d', 171, 68, 6...
SELU
109,202,468
53,113,533
44
26,033
94.215385
0.945714
0.954964
0.2375
0.009241
14
0
14
1
1
SUCCESSFUL
0.88
48,877.84
202.61
49,081.33
input_channels:3_num_classes:513_depth:6_arch:residual_base_filters:104_batch:36_input_size:72_act:selu_dropout:0.31538427599757934_dropout:False_batchnorm:True.out
9
[('conv2d', 104, 72, 72, 36, 416), ('batchnorm2d', 104, 72, 72, 36, 208), ('conv2d', 104, 72, 72, 36, 2912), ('batchnorm2d', 104, 72, 72, 36, 208), ('SELU', 104, 72, 72, 36, 0), ('conv2d', 104, 72, 72, 36, 97448), ('batchnorm2d', 104, 72, 72, 36, 208), ('SELU', 104, 72, 72, 36, 0), ('conv2d', 170, 36, 36, 36, 17850), (...
SELU
8,979,994
1,868,103
36
3,761
86.095238
0.827984
0.776691
0.3318
0.043566
9
9
0
1
1
SUCCESSFUL
2.16
3,391.2
7.13
3,400.49
input_channels:3_num_classes:174_depth:24_arch:gradual_base_filters:125_batch:48_input_size:82_act:swish_dropout:0.4714796554350642_dropout:True_batchnorm:True.out
24
[('conv2d', 125, 82, 82, 48, 3500), ('batchnorm2d', 125, 82, 82, 48, 250), ('SiLU', 125, 82, 82, 48, 0), ('dropout', 125, 82, 82, 48, 0), ('conv2d', 132, 82, 82, 48, 148632), ('batchnorm2d', 132, 82, 82, 48, 264), ('SiLU', 132, 82, 82, 48, 0), ('dropout', 132, 82, 82, 48, 0), ('conv2d', 140, 82, 82, 48, 166460), ('batc...
SiLU
170,494,569
16,433,643
48
34,009
95.25
0.919862
0.907789
0.335877
0.024873
24
24
24
1
1
SUCCESSFUL
3.84
78,046.08
62.69
78,112.61
input_channels:1_num_classes:831_depth:17_arch:dense_base_filters:46_batch:4_input_size:168_act:selu_dropout:0.24881949829138242_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 168, 168, 4, 320), ('batchnorm2d', 32, 168, 168, 4, 64), ('SELU', 32, 168, 168, 4, 0), ('conv2d', 32, 168, 168, 4, 9536), ('batchnorm2d', 32, 168, 168, 4, 64), ('SELU', 32, 168, 168, 4, 0), ('conv2d', 32, 168, 168, 4, 18752), ('batchnorm2d', 32, 168, 168, 4, 64), ('SELU', 32, 168, 168, 4, 0), ('conv2d',...
SELU
24,387,646
1,268,991
4
2,901
90.323077
0.880641
0.690148
0.305481
0.133556
17
17
0
1
1
SUCCESSFUL
0.44
1,337.72
4.84
1,343
input_channels:3_num_classes:471_depth:23_arch:uniform_base_filters:122_batch:2_input_size:42_act:elu_dropout:0.1935946404894248_dropout:False_batchnorm:False.out
23
[('conv2d', 122, 42, 42, 2, 3416), ('ELU', 122, 42, 42, 2, 0), ('conv2d', 122, 42, 42, 2, 134078), ('ELU', 122, 42, 42, 2, 0), ('conv2d', 122, 42, 42, 2, 134078), ('ELU', 122, 42, 42, 2, 0), ('conv2d', 122, 42, 42, 2, 134078), ('ELU', 122, 42, 42, 2, 0), ('conv2d', 122, 42, 42, 2, 134078), ('ELU', 122, 42, 42, 2, 0), (...
ELU
9,900,632
3,011,065
2
1,873
75.761905
0.726215
0.386607
0.147893
0.007833
23
0
0
1
1
SUCCESSFUL
0.04
226.6
11.49
238.13
input_channels:1_num_classes:937_depth:16_arch:residual_base_filters:74_batch:32_input_size:104_act:softplus_dropout:0.17507944045981755_dropout:False_batchnorm:False.out
24
[('conv2d', 74, 104, 104, 32, 148), ('conv2d', 74, 104, 104, 32, 740), ('Softplus', 74, 104, 104, 32, 0), ('conv2d', 74, 104, 104, 32, 49358), ('Softplus', 74, 104, 104, 32, 0), ('conv2d', 91, 52, 52, 32, 6825), ('conv2d', 91, 52, 52, 32, 60697), ('Softplus', 91, 52, 52, 32, 0), ('conv2d', 91, 52, 52, 32, 74620), ('Sof...
Softplus
8,253,295
5,099,491
32
3,567
-1
-1
-1
-1
-1
24
0
0
1
1
SUCCESSFUL
1.28
3,626.56
19.45
3,647.29
input_channels:1_num_classes:531_depth:13_arch:dense_base_filters:30_batch:12_input_size:164_act:gelu_dropout:0.4136270531606767_dropout:True_batchnorm:False.out
13
[('conv2d', 32, 164, 164, 12, 320), ('GELU', 32, 164, 164, 12, 0), ('dropout', 32, 164, 164, 12, 0), ('conv2d', 32, 164, 164, 12, 9536), ('GELU', 32, 164, 164, 12, 0), ('dropout', 32, 164, 164, 12, 0), ('conv2d', 32, 164, 164, 12, 18752), ('GELU', 32, 164, 164, 12, 0), ('dropout', 32, 164, 164, 12, 0), ('conv2d', 32, 1...
GELU
18,936,166
641,107
12
4,019
91.421875
0.898159
0.7764
0.4034
0.107
13
0
12
1
1
SUCCESSFUL
1.2
3,075.72
2.45
3,079.37
input_channels:3_num_classes:733_depth:12_arch:residual_base_filters:43_batch:10_input_size:206_act:prelu_dropout:0.3006107693336523_dropout:True_batchnorm:False.out
18
[('conv2d', 43, 206, 206, 10, 172), ('conv2d', 43, 206, 206, 10, 1204), ('PReLU', 43, 206, 206, 10, 0), ('dropout', 43, 206, 206, 10, 0), ('conv2d', 43, 206, 206, 10, 16684), ('PReLU', 43, 206, 206, 10, 0), ('dropout', 43, 206, 206, 10, 0), ('conv2d', 59, 103, 103, 10, 2596), ('conv2d', 59, 103, 103, 10, 22892), ('PReL...
PReLU
29,242,893
1,684,508
10
2,999
-1
-1
-1
-1
-1
18
0
12
1
1
SUCCESSFUL
4.9
3,505.9
6.43
3,517.23
input_channels:3_num_classes:213_depth:5_arch:residual_base_filters:32_batch:16_input_size:178_act:selu_dropout:0.2705399390291948_dropout:True_batchnorm:True.out
6
[('conv2d', 32, 178, 178, 16, 128), ('batchnorm2d', 32, 178, 178, 16, 64), ('conv2d', 32, 178, 178, 16, 896), ('batchnorm2d', 32, 178, 178, 16, 64), ('SELU', 32, 178, 178, 16, 0), ('dropout', 32, 178, 178, 16, 0), ('conv2d', 32, 178, 178, 16, 9248), ('batchnorm2d', 32, 178, 178, 16, 64), ('SELU', 32, 178, 178, 16, 0), ...
SELU
15,921,709
98,204
16
3,055
92.859375
0.855953
0.628912
0.310298
0.0635
6
6
4
1
1
SUCCESSFUL
5.76
2,526.56
0.37
2,532.69
input_channels:3_num_classes:492_depth:4_arch:bottleneck_base_filters:26_batch:14_input_size:60_act:gelu_dropout:0.3698546673508305_dropout:True_batchnorm:True.out
4
[('conv2d', 52, 60, 60, 14, 1456), ('batchnorm2d', 52, 60, 60, 14, 104), ('GELU', 52, 60, 60, 14, 0), ('dropout', 52, 60, 60, 14, 0), ('conv2d', 26, 60, 60, 14, 12194), ('batchnorm2d', 26, 60, 60, 14, 52), ('GELU', 26, 60, 60, 14, 0), ('dropout', 26, 60, 60, 14, 0), ('conv2d', 111, 60, 60, 14, 26085), ('batchnorm2d', 1...
GELU
9,591,861
753,243
14
2,415
79.619048
0.744547
0.701148
0.372241
0.0598
4
4
4
1
1
SUCCESSFUL
0.56
1,280.58
2.87
1,284.01
input_channels:1_num_classes:853_depth:28_arch:gradual_base_filters:71_batch:30_input_size:28_act:swish_dropout:0.46242812753640006_dropout:False_batchnorm:True.out
28
[('conv2d', 71, 28, 28, 30, 710), ('batchnorm2d', 71, 28, 28, 30, 142), ('SiLU', 71, 28, 28, 30, 0), ('conv2d', 75, 28, 28, 30, 48000), ('batchnorm2d', 75, 28, 28, 30, 150), ('SiLU', 75, 28, 28, 30, 0), ('conv2d', 80, 28, 28, 30, 54080), ('batchnorm2d', 80, 28, 28, 30, 160), ('SiLU', 80, 28, 28, 30, 0), ('conv2d', 85, ...
SiLU
11,766,769
9,561,540
30
3,739
90.590909
0.8714
0.788518
0.286321
0.032068
28
28
0
1
1
SUCCESSFUL
0
3,590.7
36.47
3,627.17
input_channels:1_num_classes:958_depth:8_arch:gradual_base_filters:121_batch:36_input_size:158_act:prelu_dropout:0.4576007196985359_dropout:True_batchnorm:True.out
8
[('conv2d', 121, 158, 158, 36, 1210), ('batchnorm2d', 121, 158, 158, 36, 242), ('PReLU', 121, 158, 158, 36, 0), ('dropout', 121, 158, 158, 36, 0), ('conv2d', 144, 158, 158, 36, 156960), ('batchnorm2d', 144, 158, 158, 36, 288), ('PReLU', 144, 158, 158, 36, 0), ('dropout', 144, 158, 158, 36, 0), ('conv2d', 172, 158, 158,...
PReLU
194,222,253
4,427,290
36
37,061
-1
-1
-1
-1
-1
8
8
8
1
1
SUCCESSFUL
3.6
66,680.64
16.89
66,701.13
input_channels:3_num_classes:296_depth:1_arch:hourglass_base_filters:33_batch:14_input_size:166_act:tanh_dropout:0.32825006277798396_dropout:False_batchnorm:False.out
1
[('conv2d', 33, 166, 166, 14, 924), ('Tanh', 33, 166, 166, 14, 0), ('adaptive_avg_pool2d', 0, 0, 33, 14, 0), ('linear', 0, 0, 296, 14, 10064), ('softmax', 0, 0, 296, 14, 0)]
Tanh
1,819,321
10,988
14
1,871
30.460317
0.254079
0.202963
0.103241
0.071446
1
0
0
1
1
SUCCESSFUL
4.48
291.48
0.04
296
input_channels:3_num_classes:784_depth:29_arch:residual_base_filters:77_batch:6_input_size:150_act:selu_dropout:0.38560896192324157_dropout:False_batchnorm:False.out
30
[('conv2d', 77, 150, 150, 6, 308), ('conv2d', 77, 150, 150, 6, 2156), ('SELU', 77, 150, 150, 6, 0), ('conv2d', 77, 150, 150, 6, 53438), ('SELU', 77, 150, 150, 6, 0), ('conv2d', 86, 75, 75, 6, 6708), ('conv2d', 86, 75, 75, 6, 59684), ('SELU', 86, 75, 75, 6, 0), ('conv2d', 86, 75, 75, 6, 66650), ('SELU', 86, 75, 75, 6, 0...
SELU
16,158,766
3,704,572
6
2,437
-1
-1
-1
-1
-1
30
0
0
1
1
SUCCESSFUL
1.56
1,331.4
14.13
1,347.09
input_channels:1_num_classes:115_depth:12_arch:hourglass_base_filters:116_batch:56_input_size:118_act:gelu_dropout:0.24568353669991524_dropout:False_batchnorm:True.out
12
[('conv2d', 116, 118, 118, 56, 1160), ('batchnorm2d', 116, 118, 118, 56, 232), ('GELU', 116, 118, 118, 56, 0), ('conv2d', 187, 118, 118, 56, 195415), ('batchnorm2d', 187, 118, 118, 56, 374), ('GELU', 187, 118, 118, 56, 0), ('conv2d', 302, 118, 118, 56, 508568), ('batchnorm2d', 302, 118, 118, 56, 604), ('GELU', 302, 118...
GELU
262,913,314
43,424,838
56
39,601
-1
-1
-1
-1
-1
12
12
0
1
1
OOM_CRASH
2.8
149,771.44
165.65
149,939.89
input_channels:3_num_classes:96_depth:25_arch:pyramid_base_filters:95_batch:56_input_size:156_act:elu_dropout:0.22809893091733624_dropout:True_batchnorm:True.out
25
[('conv2d', 95, 156, 156, 56, 2660), ('batchnorm2d', 95, 156, 156, 56, 190), ('ELU', 95, 156, 156, 56, 0), ('dropout', 95, 156, 156, 56, 0), ('conv2d', 107, 156, 156, 56, 91592), ('batchnorm2d', 107, 156, 156, 56, 214), ('ELU', 107, 156, 156, 56, 0), ('dropout', 107, 156, 156, 56, 0), ('conv2d', 121, 156, 156, 56, 1166...
ELU
1,453,542,611
119,663,949
56
39,421
31.666667
0.1745
0.622
0.229333
0.178
25
25
25
1
1
OOM_CRASH
15.68
776,275.36
456.48
776,747.52
input_channels:3_num_classes:171_depth:16_arch:pyramid_base_filters:44_batch:8_input_size:172_act:softplus_dropout:0.1899447033491477_dropout:False_batchnorm:True.out
16
[('conv2d', 44, 172, 172, 8, 1232), ('batchnorm2d', 44, 172, 172, 8, 88), ('Softplus', 44, 172, 172, 8, 0), ('conv2d', 55, 172, 172, 8, 21835), ('batchnorm2d', 55, 172, 172, 8, 110), ('Softplus', 55, 172, 172, 8, 0), ('conv2d', 71, 172, 172, 8, 35216), ('batchnorm2d', 71, 172, 172, 8, 142), ('Softplus', 71, 172, 172, 8...
Softplus
654,991,712
48,399,705
8
29,813
93.015385
0.936781
0.968167
0.215907
0.015463
16
16
0
1
1
SUCCESSFUL
2.72
53,303.36
184.63
53,490.71
input_channels:3_num_classes:608_depth:6_arch:bottleneck_base_filters:59_batch:30_input_size:82_act:softplus_dropout:0.2682729761805527_dropout:False_batchnorm:False.out
6
[('conv2d', 118, 82, 82, 30, 3304), ('Softplus', 118, 82, 82, 30, 0), ('conv2d', 59, 82, 82, 30, 62717), ('Softplus', 59, 82, 82, 30, 0), ('conv2d', 119, 82, 82, 30, 63308), ('Softplus', 119, 82, 82, 30, 0), ('conv2d', 243, 82, 82, 30, 260496), ('Softplus', 243, 82, 82, 30, 0), ('conv2d', 495, 82, 82, 30, 1083060), ('S...
Softplus
27,449,591
6,572,941
30
7,755
-1
-1
-1
-1
-1
6
0
0
1
1
SUCCESSFUL
2.4
9,423.9
25.07
9,451.37
input_channels:1_num_classes:247_depth:9_arch:uniform_base_filters:104_batch:48_input_size:106_act:tanh_dropout:0.1076728206506899_dropout:False_batchnorm:True.out
9
[('conv2d', 104, 106, 106, 48, 1040), ('batchnorm2d', 104, 106, 106, 48, 208), ('Tanh', 104, 106, 106, 48, 0), ('conv2d', 104, 106, 106, 48, 97448), ('batchnorm2d', 104, 106, 106, 48, 208), ('Tanh', 104, 106, 106, 48, 0), ('conv2d', 104, 106, 106, 48, 97448), ('batchnorm2d', 104, 106, 106, 48, 208), ('Tanh', 104, 106, ...
Tanh
31,551,286
808,431
48
7,097
91.09375
0.91127
0.950911
0.403143
0.035964
9
9
0
1
1
SUCCESSFUL
1.92
15,405.6
3.08
15,410.6
input_channels:1_num_classes:81_depth:15_arch:uniform_base_filters:116_batch:20_input_size:20_act:relu_dropout:0.1226871720383691_dropout:False_batchnorm:True.out
15
[('conv2d', 116, 20, 20, 20, 1160), ('batchnorm2d', 116, 20, 20, 20, 232), ('ReLU', 116, 20, 20, 20, 0), ('conv2d', 116, 20, 20, 20, 121220), ('batchnorm2d', 116, 20, 20, 20, 232), ('ReLU', 116, 20, 20, 20, 0), ('conv2d', 116, 20, 20, 20, 121220), ('batchnorm2d', 116, 20, 20, 20, 232), ('ReLU', 116, 20, 20, 20, 0), ('c...
ReLU
2,088,278
1,711,197
20
1,915
-1
-1
-1
-1
-1
15
15
0
1
1
SUCCESSFUL
0
424.8
6.53
431.33
input_channels:1_num_classes:597_depth:26_arch:residual_base_filters:35_batch:48_input_size:64_act:leaky_relu_dropout:0.3881133333888883_dropout:True_batchnorm:False.out
24
[('conv2d', 35, 64, 64, 48, 70), ('conv2d', 35, 64, 64, 48, 350), ('LeakyReLU', 35, 64, 64, 48, 0), ('dropout', 35, 64, 64, 48, 0), ('conv2d', 35, 64, 64, 48, 11060), ('LeakyReLU', 35, 64, 64, 48, 0), ('dropout', 35, 64, 64, 48, 0), ('conv2d', 40, 32, 32, 48, 1440), ('conv2d', 40, 32, 32, 48, 12640), ('LeakyReLU', 40, ...
LeakyReLU
1,929,042
699,741
48
2,117
-1
-1
-1
-1
-1
24
0
16
1
1
SUCCESSFUL
0.96
1,109.76
2.67
1,113.39
input_channels:1_num_classes:472_depth:29_arch:residual_base_filters:118_batch:62_input_size:34_act:tanh_dropout:0.1913659756084668_dropout:True_batchnorm:False.out
18
[('conv2d', 118, 34, 34, 62, 236), ('conv2d', 118, 34, 34, 62, 1180), ('Tanh', 118, 34, 34, 62, 0), ('dropout', 118, 34, 34, 62, 0), ('conv2d', 118, 34, 34, 62, 125434), ('Tanh', 118, 34, 34, 62, 0), ('dropout', 118, 34, 34, 62, 0), ('conv2d', 130, 17, 17, 62, 15470), ('conv2d', 130, 17, 17, 62, 138190), ('Tanh', 130, ...
Tanh
1,730,291
2,565,334
62
2,301
-1
-1
-1
-1
-1
18
0
12
1
1
SUCCESSFUL
0
1,285.88
9.79
1,295.67
input_channels:3_num_classes:857_depth:14_arch:uniform_base_filters:55_batch:30_input_size:64_act:prelu_dropout:0.4055551866008057_dropout:True_batchnorm:False.out
14
[('conv2d', 55, 64, 64, 30, 1540), ('PReLU', 55, 64, 64, 30, 0), ('dropout', 55, 64, 64, 30, 0), ('conv2d', 55, 64, 64, 30, 27280), ('PReLU', 55, 64, 64, 30, 0), ('dropout', 55, 64, 64, 30, 0), ('conv2d', 55, 64, 64, 30, 27280), ('PReLU', 55, 64, 64, 30, 0), ('dropout', 55, 64, 64, 30, 0), ('conv2d', 55, 64, 64, 30, 27...
PReLU
9,463,529
404,172
30
2,717
-1
-1
-1
-1
-1
14
0
14
1
1
SUCCESSFUL
1.5
2,887.8
1.54
2,890.84
input_channels:1_num_classes:654_depth:16_arch:dense_base_filters:119_batch:6_input_size:196_act:prelu_dropout:0.4053674385994406_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 196, 196, 6, 320), ('batchnorm2d', 32, 196, 196, 6, 64), ('PReLU', 32, 196, 196, 6, 0), ('conv2d', 32, 196, 196, 6, 9536), ('batchnorm2d', 32, 196, 196, 6, 64), ('PReLU', 32, 196, 196, 6, 0), ('conv2d', 32, 196, 196, 6, 18752), ('batchnorm2d', 32, 196, 196, 6, 64), ('PReLU', 32, 196, 196, 6, 0), ('conv2...
PReLU
33,193,180
1,189,518
6
4,335
91.71875
0.896078
0.75322
0.377898
0.105519
17
17
0
1
1
SUCCESSFUL
0.9
2,731.08
4.54
2,736.52
input_channels:3_num_classes:280_depth:7_arch:residual_base_filters:111_batch:44_input_size:188_act:elu_dropout:0.28746102199977197_dropout:False_batchnorm:False.out
9
[('conv2d', 111, 188, 188, 44, 444), ('conv2d', 111, 188, 188, 44, 3108), ('ELU', 111, 188, 188, 44, 0), ('conv2d', 111, 188, 188, 44, 111000), ('ELU', 111, 188, 188, 44, 0), ('conv2d', 168, 94, 94, 44, 18816), ('conv2d', 168, 94, 94, 44, 168000), ('ELU', 168, 94, 94, 44, 0), ('conv2d', 168, 94, 94, 44, 254184), ('ELU'...
ELU
38,304,875
1,641,622
44
15,253
90.095238
0.888585
0.9385
0.490148
0.048712
9
0
0
1
1
SUCCESSFUL
17.6
23,145.32
6.26
23,169.18
input_channels:1_num_classes:503_depth:21_arch:gradual_base_filters:113_batch:8_input_size:58_act:gelu_dropout:0.20170581653085182_dropout:True_batchnorm:False.out
21
[('conv2d', 113, 58, 58, 8, 1130), ('GELU', 113, 58, 58, 8, 0), ('dropout', 113, 58, 58, 8, 0), ('conv2d', 121, 58, 58, 8, 123178), ('GELU', 121, 58, 58, 8, 0), ('dropout', 121, 58, 58, 8, 0), ('conv2d', 129, 58, 58, 8, 140610), ('GELU', 129, 58, 58, 8, 0), ('dropout', 129, 58, 58, 8, 0), ('conv2d', 138, 58, 58, 8, 160...
GELU
51,924,794
12,507,316
8
3,555
93.078125
0.92427
0.872182
0.308218
0.022035
21
0
21
1
1
SUCCESSFUL
0.08
4,225.6
47.71
4,273.39
input_channels:3_num_classes:846_depth:23_arch:hourglass_base_filters:48_batch:32_input_size:32_act:softplus_dropout:0.3536769316084929_dropout:False_batchnorm:True.out
23
[('conv2d', 48, 32, 32, 32, 1344), ('batchnorm2d', 48, 32, 32, 32, 96), ('Softplus', 48, 32, 32, 32, 0), ('conv2d', 67, 32, 32, 32, 29011), ('batchnorm2d', 67, 32, 32, 32, 134), ('Softplus', 67, 32, 32, 32, 0), ('conv2d', 94, 32, 32, 32, 56776), ('batchnorm2d', 94, 32, 32, 32, 188), ('Softplus', 94, 32, 32, 32, 0), ('c...
Softplus
31,803,084
78,715,329
32
7,385
94.515625
0.931078
0.928528
0.233717
0.019966
23
23
0
1
1
SUCCESSFUL
0.32
10,352.32
300.28
10,652.92
input_channels:3_num_classes:221_depth:8_arch:hourglass_base_filters:67_batch:12_input_size:156_act:softplus_dropout:0.39609164739108915_dropout:False_batchnorm:True.out
8
[('conv2d', 67, 156, 156, 12, 1876), ('batchnorm2d', 67, 156, 156, 12, 134), ('Softplus', 67, 156, 156, 12, 0), ('conv2d', 157, 156, 156, 12, 94828), ('batchnorm2d', 157, 156, 156, 12, 314), ('Softplus', 157, 156, 156, 12, 0), ('conv2d', 370, 156, 156, 12, 523180), ('batchnorm2d', 370, 156, 156, 12, 740), ('Softplus', ...
Softplus
213,767,933
13,866,883
12
17,763
93.307692
0.942187
0.960444
0.283463
0.022345
8
8
0
1
1
SUCCESSFUL
3.36
26,094.72
52.9
26,150.98
input_channels:3_num_classes:214_depth:26_arch:gradual_base_filters:91_batch:6_input_size:120_act:tanh_dropout:0.3286131504818817_dropout:False_batchnorm:False.out
26
[('conv2d', 91, 120, 120, 6, 2548), ('Tanh', 91, 120, 120, 6, 0), ('conv2d', 96, 120, 120, 6, 78720), ('Tanh', 96, 120, 120, 6, 0), ('conv2d', 102, 120, 120, 6, 88230), ('Tanh', 102, 120, 120, 6, 0), ('conv2d', 108, 120, 120, 6, 99252), ('Tanh', 108, 120, 120, 6, 0), ('conv2d', 115, 120, 120, 6, 111895), ('Tanh', 115, ...
Tanh
158,573,634
11,834,310
6
5,859
95.333333
0.933444
0.922849
0.333585
0.009655
26
0
0
1
1
SUCCESSFUL
0.96
10,888.38
45.14
10,934.48
input_channels:1_num_classes:171_depth:7_arch:hourglass_base_filters:37_batch:30_input_size:164_act:tanh_dropout:0.22048476727507338_dropout:True_batchnorm:True.out
7
[('conv2d', 37, 164, 164, 30, 370), ('batchnorm2d', 37, 164, 164, 30, 74), ('Tanh', 37, 164, 164, 30, 0), ('dropout', 37, 164, 164, 30, 0), ('conv2d', 141, 164, 164, 30, 47094), ('batchnorm2d', 141, 164, 164, 30, 282), ('Tanh', 141, 164, 164, 30, 0), ('dropout', 141, 164, 164, 30, 0), ('conv2d', 537, 164, 164, 30, 6819...
Tanh
201,935,547
6,502,668
30
32,109
-1
-1
-1
-1
-1
7
7
7
1
1
SUCCESSFUL
3
57,774.3
24.81
57,802.11
input_channels:3_num_classes:139_depth:20_arch:dense_base_filters:37_batch:38_input_size:216_act:softplus_dropout:0.169389353236853_dropout:True_batchnorm:True.out
21
[('conv2d', 32, 216, 216, 38, 896), ('batchnorm2d', 32, 216, 216, 38, 64), ('Softplus', 32, 216, 216, 38, 0), ('dropout', 32, 216, 216, 38, 0), ('conv2d', 32, 216, 216, 38, 10112), ('batchnorm2d', 32, 216, 216, 38, 64), ('Softplus', 32, 216, 216, 38, 0), ('dropout', 32, 216, 216, 38, 0), ('conv2d', 32, 216, 216, 38, 19...
Softplus
56,874,519
1,555,164
38
23,157
94.84375
0.920062
0.8015
0.409643
0.108164
21
21
20
1
1
SUCCESSFUL
20.14
28,249.96
5.93
28,276.03
input_channels:1_num_classes:8_depth:5_arch:hourglass_base_filters:23_batch:10_input_size:142_act:prelu_dropout:0.1104648306499656_dropout:True_batchnorm:False.out
5
[('conv2d', 23, 142, 142, 10, 230), ('PReLU', 23, 142, 142, 10, 0), ('dropout', 23, 142, 142, 10, 0), ('conv2d', 217, 142, 142, 10, 45136), ('PReLU', 217, 142, 142, 10, 0), ('dropout', 217, 142, 142, 10, 0), ('conv2d', 458, 142, 142, 10, 894932), ('PReLU', 458, 142, 142, 10, 0), ('dropout', 458, 142, 142, 10, 0), ('con...
PReLU
49,784,955
1,382,173
10
5,235
-1
-1
-1
-1
-1
5
0
5
1
1
SUCCESSFUL
0.8
5,064.4
5.27
5,070.47
input_channels:1_num_classes:774_depth:19_arch:bottleneck_base_filters:114_batch:40_input_size:210_act:gelu_dropout:0.35958973160449614_dropout:False_batchnorm:True.out
19
[('conv2d', 228, 210, 210, 40, 2280), ('batchnorm2d', 228, 210, 210, 40, 456), ('GELU', 228, 210, 210, 40, 0), ('conv2d', 114, 210, 210, 40, 234042), ('batchnorm2d', 114, 210, 210, 40, 228), ('GELU', 114, 210, 210, 40, 0), ('conv2d', 133, 210, 210, 40, 136591), ('batchnorm2d', 133, 210, 210, 40, 266), ('GELU', 133, 210...
GELU
1,499,094,592
86,130,036
40
40,035
15
0.0922
0.239
0.082
0
19
19
0
1
1
OOM_CRASH
6.8
609,982.8
328.56
610,318.16
input_channels:3_num_classes:938_depth:29_arch:residual_base_filters:101_batch:16_input_size:188_act:gelu_dropout:0.1776215409182026_dropout:True_batchnorm:True.out
30
[('conv2d', 101, 188, 188, 16, 404), ('batchnorm2d', 101, 188, 188, 16, 202), ('conv2d', 101, 188, 188, 16, 2828), ('batchnorm2d', 101, 188, 188, 16, 202), ('GELU', 101, 188, 188, 16, 0), ('dropout', 101, 188, 188, 16, 0), ('conv2d', 101, 188, 188, 16, 91910), ('batchnorm2d', 101, 188, 188, 16, 202), ('GELU', 101, 188,...
GELU
65,717,543
5,689,212
16
6,793
-1
-1
-1
-1
-1
30
30
20
1
1
SUCCESSFUL
6.4
10,428.8
21.7
10,456.9
input_channels:3_num_classes:426_depth:2_arch:hourglass_base_filters:111_batch:8_input_size:96_act:elu_dropout:0.173227398048738_dropout:False_batchnorm:True.out
2
[('conv2d', 111, 96, 96, 8, 3108), ('batchnorm2d', 111, 96, 96, 8, 222), ('ELU', 111, 96, 96, 8, 0), ('conv2d', 111, 96, 96, 8, 111000), ('batchnorm2d', 111, 96, 96, 8, 222), ('ELU', 111, 96, 96, 8, 0), ('adaptive_avg_pool2d', 0, 0, 111, 8, 0), ('linear', 0, 0, 426, 8, 47712), ('softmax', 0, 0, 426, 8, 0)]
ELU
6,138,819
162,264
8
2,141
73.730159
0.696875
0.598241
0.271333
0.044855
2
2
0
1
1
SUCCESSFUL
0.88
499.52
0.62
501.02
input_channels:1_num_classes:2_depth:1_arch:uniform_base_filters:125_batch:8_input_size:162_act:elu_dropout:0.15259870824084298_dropout:True_batchnorm:True.out
1
[('conv2d', 125, 162, 162, 8, 1250), ('batchnorm2d', 125, 162, 162, 8, 250), ('ELU', 125, 162, 162, 8, 0), ('dropout', 125, 162, 162, 8, 0), ('adaptive_avg_pool2d', 0, 0, 125, 8, 0), ('linear', 0, 0, 2, 8, 252), ('softmax', 0, 0, 2, 8, 0)]
ELU
13,122,129
1,752
8
2,361
-1
-1
-1
-1
-1
1
1
1
1
1
SUCCESSFUL
0.8
1,001.12
0.01
1,001.93
input_channels:3_num_classes:204_depth:18_arch:residual_base_filters:26_batch:26_input_size:60_act:gelu_dropout:0.43565779238032776_dropout:False_batchnorm:True.out
18
[('conv2d', 26, 60, 60, 26, 104), ('batchnorm2d', 26, 60, 60, 26, 52), ('conv2d', 26, 60, 60, 26, 728), ('batchnorm2d', 26, 60, 60, 26, 52), ('GELU', 26, 60, 60, 26, 0), ('conv2d', 26, 60, 60, 26, 6110), ('batchnorm2d', 26, 60, 60, 26, 52), ('GELU', 26, 60, 60, 26, 0), ('conv2d', 33, 30, 30, 26, 891), ('batchnorm2d', 3...
GELU
1,551,639
328,192
26
1,915
-1
-1
-1
-1
-1
18
18
0
1
1
SUCCESSFUL
1.04
423.28
1.25
425.57
input_channels:1_num_classes:511_depth:3_arch:bottleneck_base_filters:42_batch:6_input_size:88_act:relu_dropout:0.4454124099834206_dropout:False_batchnorm:False.out
3
[('conv2d', 84, 88, 88, 6, 840), ('ReLU', 84, 88, 88, 6, 0), ('conv2d', 42, 88, 88, 6, 31794), ('ReLU', 42, 88, 88, 6, 0), ('conv2d', 293, 88, 88, 6, 111047), ('ReLU', 293, 88, 88, 6, 0), ('adaptive_avg_pool2d', 0, 0, 293, 6, 0), ('linear', 0, 0, 511, 6, 150234), ('softmax', 0, 0, 511, 6, 0)]
ReLU
6,490,787
293,915
6
2,011
74.375
0.741063
0.597296
0.302759
0.010963
3
0
0
1
1
SUCCESSFUL
0.18
445.68
1.12
446.98
input_channels:1_num_classes:35_depth:14_arch:hourglass_base_filters:45_batch:12_input_size:112_act:elu_dropout:0.31355101802656843_dropout:False_batchnorm:True.out
14
[('conv2d', 45, 112, 112, 12, 450), ('batchnorm2d', 45, 112, 112, 12, 90), ('ELU', 45, 112, 112, 12, 0), ('conv2d', 77, 112, 112, 12, 31262), ('batchnorm2d', 77, 112, 112, 12, 154), ('ELU', 77, 112, 112, 12, 0), ('conv2d', 133, 112, 112, 12, 92302), ('batchnorm2d', 133, 112, 112, 12, 266), ('ELU', 133, 112, 112, 12, 0)...
ELU
207,578,227
34,754,000
12
15,749
95.53125
0.926369
0.946111
0.23487
0.017964
14
14
0
1
1
SUCCESSFUL
0.6
25,339.08
132.58
25,472.26
input_channels:1_num_classes:640_depth:17_arch:bottleneck_base_filters:124_batch:46_input_size:168_act:prelu_dropout:0.33796711620901265_dropout:True_batchnorm:False.out
17
[('conv2d', 248, 168, 168, 46, 2480), ('PReLU', 248, 168, 168, 46, 0), ('dropout', 248, 168, 168, 46, 0), ('conv2d', 124, 168, 168, 46, 276892), ('PReLU', 124, 168, 168, 46, 0), ('dropout', 124, 168, 168, 46, 0), ('conv2d', 147, 168, 168, 46, 164199), ('PReLU', 147, 168, 168, 46, 0), ('dropout', 147, 168, 168, 46, 0), ...
PReLU
870,515,830
76,348,245
46
38,371
9.75
0.042
0.417
0.086
0
17
0
17
1
1
OOM_CRASH
5.06
407,345.64
291.25
407,641.95
input_channels:3_num_classes:761_depth:23_arch:gradual_base_filters:85_batch:22_input_size:72_act:softplus_dropout:0.2667952068976807_dropout:False_batchnorm:False.out
23
[('conv2d', 85, 72, 72, 22, 2380), ('Softplus', 85, 72, 72, 22, 0), ('conv2d', 91, 72, 72, 22, 69706), ('Softplus', 91, 72, 72, 22, 0), ('conv2d', 97, 72, 72, 22, 79540), ('Softplus', 97, 72, 72, 22, 0), ('conv2d', 104, 72, 72, 22, 90896), ('Softplus', 104, 72, 72, 22, 0), ('conv2d', 112, 72, 72, 22, 104944), ('Softplu...
Softplus
47,974,647
9,648,124
22
8,315
92
0.919231
0.90039
0.327102
0.024724
23
0
0
1
1
SUCCESSFUL
1.32
12,078.44
36.8
12,116.56
input_channels:3_num_classes:791_depth:3_arch:dense_base_filters:68_batch:42_input_size:202_act:tanh_dropout:0.3867155566327959_dropout:False_batchnorm:True.out
0
[]
null
0
0
42
1,471
-1
-1
-1
-1
-1
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:345_depth:17_arch:residual_base_filters:45_batch:54_input_size:34_act:relu_dropout:0.46363446744035164_dropout:False_batchnorm:True.out
18
[('conv2d', 45, 34, 34, 54, 90), ('batchnorm2d', 45, 34, 34, 54, 90), ('conv2d', 45, 34, 34, 54, 450), ('batchnorm2d', 45, 34, 34, 54, 90), ('ReLU', 45, 34, 34, 54, 0), ('conv2d', 45, 34, 34, 54, 18270), ('batchnorm2d', 45, 34, 34, 54, 90), ('ReLU', 45, 34, 34, 54, 0), ('conv2d', 56, 17, 17, 54, 2576), ('batchnorm2d', ...
ReLU
864,204
868,109
54
1,935
43.753846
0.444815
0.259862
0.093672
0.013017
18
18
0
1
1
SUCCESSFUL
0
489.24
3.31
492.55
input_channels:1_num_classes:826_depth:9_arch:gradual_base_filters:108_batch:48_input_size:88_act:tanh_dropout:0.19556589261635177_dropout:True_batchnorm:True.out
9
[('conv2d', 108, 88, 88, 48, 1080), ('batchnorm2d', 108, 88, 88, 48, 216), ('Tanh', 108, 88, 88, 48, 0), ('dropout', 108, 88, 88, 48, 0), ('conv2d', 127, 88, 88, 48, 123571), ('batchnorm2d', 127, 88, 88, 48, 254), ('Tanh', 127, 88, 88, 48, 0), ('dropout', 127, 88, 88, 48, 0), ('conv2d', 149, 88, 88, 48, 170456), ('batc...
Tanh
63,100,163
4,378,195
48
13,799
93.515625
0.927921
0.939321
0.372179
0.024071
9
9
9
1
1
SUCCESSFUL
1.44
28,884.96
16.7
28,903.1
input_channels:3_num_classes:159_depth:21_arch:residual_base_filters:49_batch:24_input_size:164_act:softplus_dropout:0.41023087017564475_dropout:True_batchnorm:False.out
30
[('conv2d', 49, 164, 164, 24, 196), ('conv2d', 49, 164, 164, 24, 1372), ('Softplus', 49, 164, 164, 24, 0), ('dropout', 49, 164, 164, 24, 0), ('conv2d', 49, 164, 164, 24, 21658), ('Softplus', 49, 164, 164, 24, 0), ('dropout', 49, 164, 164, 24, 0), ('conv2d', 58, 82, 82, 24, 2900), ('conv2d', 58, 82, 82, 24, 25636), ('So...
Softplus
18,527,740
3,328,165
24
3,885
89.59375
0.862889
0.793902
0.420392
0.077804
30
0
20
1
1
SUCCESSFUL
7.44
5,331.12
12.7
5,351.26
input_channels:3_num_classes:644_depth:23_arch:hourglass_base_filters:114_batch:18_input_size:164_act:softplus_dropout:0.19676263364958266_dropout:True_batchnorm:True.out
23
[('conv2d', 114, 164, 164, 18, 3192), ('batchnorm2d', 114, 164, 164, 18, 228), ('Softplus', 114, 164, 164, 18, 0), ('dropout', 114, 164, 164, 18, 0), ('conv2d', 148, 164, 164, 18, 151996), ('batchnorm2d', 148, 164, 164, 18, 296), ('Softplus', 148, 164, 164, 18, 0), ('dropout', 148, 164, 164, 18, 0), ('conv2d', 192, 164...
Softplus
1,456,150,842
112,358,561
18
39,997
-1
-1
-1
-1
-1
23
23
23
1
1
OOM_CRASH
5.58
249,964.74
428.61
250,398.93
input_channels:3_num_classes:84_depth:19_arch:bottleneck_base_filters:79_batch:8_input_size:52_act:prelu_dropout:0.2599757633273626_dropout:False_batchnorm:False.out
19
[('conv2d', 158, 52, 52, 8, 4424), ('PReLU', 158, 52, 52, 8, 0), ('conv2d', 79, 52, 52, 8, 112417), ('PReLU', 79, 52, 52, 8, 0), ('conv2d', 94, 52, 52, 8, 66928), ('PReLU', 94, 52, 52, 8, 0), ('conv2d', 113, 52, 52, 8, 95711), ('PReLU', 113, 52, 52, 8, 0), ('conv2d', 135, 52, 52, 8, 137430), ('PReLU', 135, 52, 52, 8, 0...
PReLU
54,525,333
72,335,072
8
7,015
94.546875
0.932032
0.922316
0.241632
0.005491
19
0
0
1
1
SUCCESSFUL
0.24
4,991.92
275.94
5,268.1
input_channels:1_num_classes:393_depth:22_arch:gradual_base_filters:41_batch:50_input_size:48_act:softplus_dropout:0.4733402089398555_dropout:False_batchnorm:False.out
22
[('conv2d', 41, 48, 48, 50, 410), ('Softplus', 41, 48, 48, 50, 0), ('conv2d', 44, 48, 48, 50, 16280), ('Softplus', 44, 48, 48, 50, 0), ('conv2d', 48, 48, 48, 50, 19056), ('Softplus', 48, 48, 48, 50, 0), ('conv2d', 53, 48, 48, 50, 22949), ('Softplus', 53, 48, 48, 50, 0), ('conv2d', 58, 48, 48, 50, 27724), ('Softplus', 5...
Softplus
12,276,763
3,551,178
50
5,627
90.938462
0.894391
0.872464
0.3685
0.034852
22
0
0
1
1
SUCCESSFUL
0.5
7,024.5
13.55
7,038.55
input_channels:1_num_classes:634_depth:19_arch:pyramid_base_filters:50_batch:38_input_size:76_act:selu_dropout:0.43799320556703014_dropout:True_batchnorm:False.out
19
[('conv2d', 50, 76, 76, 38, 500), ('SELU', 50, 76, 76, 38, 0), ('dropout', 50, 76, 76, 38, 0), ('conv2d', 60, 76, 76, 38, 27060), ('SELU', 60, 76, 76, 38, 0), ('dropout', 60, 76, 76, 38, 0), ('conv2d', 73, 76, 76, 38, 39493), ('SELU', 73, 76, 76, 38, 0), ('dropout', 73, 76, 76, 38, 0), ('conv2d', 89, 76, 76, 38, 58562)...
SELU
160,252,296
65,871,220
38
30,227
95.546875
0.916576
0.949483
0.208034
0.006947
19
0
19
1
1
SUCCESSFUL
0.76
61,946.08
251.28
62,198.12
input_channels:3_num_classes:99_depth:9_arch:bottleneck_base_filters:113_batch:48_input_size:4_act:prelu_dropout:0.11694682170902625_dropout:True_batchnorm:False.out
0
[]
null
0
0
48
0
15
0
0
0
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:3_num_classes:251_depth:9_arch:hourglass_base_filters:83_batch:38_input_size:54_act:tanh_dropout:0.22111147736071937_dropout:True_batchnorm:True.out
9
[('conv2d', 83, 54, 54, 38, 2324), ('batchnorm2d', 83, 54, 54, 38, 166), ('Tanh', 83, 54, 54, 38, 0), ('dropout', 83, 54, 54, 38, 0), ('conv2d', 184, 54, 54, 38, 137632), ('batchnorm2d', 184, 54, 54, 38, 368), ('Tanh', 184, 54, 54, 38, 0), ('dropout', 184, 54, 54, 38, 0), ('conv2d', 412, 54, 54, 38, 682684), ('batchnor...
Tanh
44,113,833
20,743,761
38
9,333
-1
-1
-1
-1
-1
9
9
9
1
1
SUCCESSFUL
1.14
15,986.6
79.13
16,066.87
input_channels:3_num_classes:15_depth:23_arch:gradual_base_filters:56_batch:48_input_size:112_act:gelu_dropout:0.14760030448145908_dropout:False_batchnorm:False.out
23
[('conv2d', 56, 112, 112, 48, 1568), ('GELU', 56, 112, 112, 48, 0), ('conv2d', 60, 112, 112, 48, 30300), ('GELU', 60, 112, 112, 48, 0), ('conv2d', 65, 112, 112, 48, 35165), ('GELU', 65, 112, 112, 48, 0), ('conv2d', 70, 112, 112, 48, 41020), ('GELU', 70, 112, 112, 48, 0), ('conv2d', 76, 112, 112, 48, 47956), ('GELU', 76...
GELU
86,829,911
5,432,759
48
26,705
93.953846
0.94073
0.937648
0.372963
0.027564
23
0
0
1
1
SUCCESSFUL
6.72
47,697.12
20.72
47,724.56
input_channels:3_num_classes:898_depth:3_arch:dense_base_filters:62_batch:32_input_size:94_act:gelu_dropout:0.4548320489379427_dropout:True_batchnorm:False.out
0
[]
null
0
0
32
1,451
10.169492
0.037984
0.003302
0.001
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:939_depth:10_arch:bottleneck_base_filters:43_batch:20_input_size:46_act:elu_dropout:0.32984511205800404_dropout:True_batchnorm:True.out
10
[('conv2d', 86, 46, 46, 20, 860), ('batchnorm2d', 86, 46, 46, 20, 172), ('ELU', 86, 46, 46, 20, 0), ('dropout', 86, 46, 46, 20, 0), ('conv2d', 43, 46, 46, 20, 33325), ('batchnorm2d', 43, 46, 46, 20, 86), ('ELU', 43, 46, 46, 20, 0), ('dropout', 43, 46, 46, 20, 0), ('conv2d', 66, 46, 46, 20, 25608), ('batchnorm2d', 66, 4...
ELU
32,344,155
19,312,581
20
4,897
92.140625
0.933127
0.890093
0.266333
0.018891
10
10
10
1
1
SUCCESSFUL
0.2
6,169
73.67
6,242.87
input_channels:1_num_classes:459_depth:22_arch:bottleneck_base_filters:40_batch:14_input_size:78_act:swish_dropout:0.22132177484959797_dropout:True_batchnorm:True.out
22
[('conv2d', 80, 78, 78, 14, 800), ('batchnorm2d', 80, 78, 78, 14, 160), ('SiLU', 80, 78, 78, 14, 0), ('dropout', 80, 78, 78, 14, 0), ('conv2d', 40, 78, 78, 14, 28840), ('batchnorm2d', 40, 78, 78, 14, 80), ('SiLU', 40, 78, 78, 14, 0), ('dropout', 40, 78, 78, 14, 0), ('conv2d', 48, 78, 78, 14, 17328), ('batchnorm2d', 48,...
SiLU
238,836,119
69,547,494
14
21,301
-1
-1
-1
-1
-1
22
22
22
1
1
SUCCESSFUL
0.28
31,887.94
265.3
32,153.52
input_channels:1_num_classes:66_depth:3_arch:bottleneck_base_filters:25_batch:50_input_size:24_act:prelu_dropout:0.11949661167912384_dropout:False_batchnorm:True.out
3
[('conv2d', 50, 24, 24, 50, 500), ('batchnorm2d', 50, 24, 24, 50, 100), ('PReLU', 50, 24, 24, 50, 0), ('conv2d', 25, 24, 24, 50, 11275), ('batchnorm2d', 25, 24, 24, 50, 50), ('PReLU', 25, 24, 24, 50, 0), ('conv2d', 226, 24, 24, 50, 51076), ('batchnorm2d', 226, 24, 24, 50, 452), ('PReLU', 226, 24, 24, 50, 0), ('adaptive...
PReLU
520,486
78,435
50
1,959
-1
-1
-1
-1
-1
3
3
0
1
1
SUCCESSFUL
0
264.5
0.3
264.8
input_channels:1_num_classes:835_depth:14_arch:hourglass_base_filters:46_batch:2_input_size:112_act:swish_dropout:0.3633543340762534_dropout:False_batchnorm:True.out
14
[('conv2d', 46, 112, 112, 2, 460), ('batchnorm2d', 46, 112, 112, 2, 92), ('SiLU', 46, 112, 112, 2, 0), ('conv2d', 79, 112, 112, 2, 32785), ('batchnorm2d', 79, 112, 112, 2, 158), ('SiLU', 79, 112, 112, 2, 0), ('conv2d', 136, 112, 112, 2, 96832), ('batchnorm2d', 136, 112, 112, 2, 272), ('SiLU', 136, 112, 112, 2, 0), ('co...
SiLU
209,160,372
35,156,045
2
4,281
-1
-1
-1
-1
-1
14
14
0
1
1
SUCCESSFUL
0.1
4,255.36
134.11
4,389.57
input_channels:1_num_classes:845_depth:3_arch:gradual_base_filters:110_batch:34_input_size:16_act:selu_dropout:0.4985804556418312_dropout:True_batchnorm:False.out
3
[('conv2d', 110, 16, 16, 34, 1100), ('SELU', 110, 16, 16, 34, 0), ('dropout', 110, 16, 16, 34, 0), ('conv2d', 179, 16, 16, 34, 177389), ('SELU', 179, 16, 16, 34, 0), ('dropout', 179, 16, 16, 34, 0), ('conv2d', 291, 16, 16, 34, 469092), ('SELU', 291, 16, 16, 34, 0), ('dropout', 291, 16, 16, 34, 0), ('adaptive_avg_pool2d...
SELU
447,421
894,321
34
1,813
28.637931
0.325409
0.211576
0.074424
0.00781
3
0
3
1
1
SUCCESSFUL
0
154.7
3.41
158.11
input_channels:1_num_classes:822_depth:17_arch:uniform_base_filters:66_batch:40_input_size:58_act:relu_dropout:0.46807554588928735_dropout:True_batchnorm:True.out
17
[('conv2d', 66, 58, 58, 40, 660), ('batchnorm2d', 66, 58, 58, 40, 132), ('ReLU', 66, 58, 58, 40, 0), ('dropout', 66, 58, 58, 40, 0), ('conv2d', 66, 58, 58, 40, 39270), ('batchnorm2d', 66, 58, 58, 40, 132), ('ReLU', 66, 58, 58, 40, 0), ('dropout', 66, 58, 58, 40, 0), ('conv2d', 66, 58, 58, 40, 39270), ('batchnorm2d', 66...
ReLU
15,099,342
686,298
40
3,813
-1
-1
-1
-1
-1
17
17
17
1
1
SUCCESSFUL
0.4
5,760
2.62
5,763.02
input_channels:1_num_classes:596_depth:26_arch:bottleneck_base_filters:85_batch:4_input_size:128_act:prelu_dropout:0.1946917599814361_dropout:True_batchnorm:True.out
26
[('conv2d', 170, 128, 128, 4, 1700), ('batchnorm2d', 170, 128, 128, 4, 340), ('PReLU', 170, 128, 128, 4, 0), ('dropout', 170, 128, 128, 4, 0), ('conv2d', 85, 128, 128, 4, 130135), ('batchnorm2d', 85, 128, 128, 4, 170), ('PReLU', 85, 128, 128, 4, 0), ('dropout', 85, 128, 128, 4, 0), ('conv2d', 96, 128, 128, 4, 73536), (...
PReLU
958,073,779
115,500,140
4
27,291
92.707692
0.934969
0.951255
0.25487
0.009125
26
26
26
1
1
SUCCESSFUL
0.24
36,547.6
440.6
36,988.44
input_channels:1_num_classes:928_depth:20_arch:bottleneck_base_filters:71_batch:6_input_size:78_act:relu_dropout:0.4394746914826413_dropout:False_batchnorm:False.out
20
[('conv2d', 142, 78, 78, 6, 1420), ('ReLU', 142, 78, 78, 6, 0), ('conv2d', 71, 78, 78, 6, 90809), ('ReLU', 71, 78, 78, 6, 0), ('conv2d', 84, 78, 78, 6, 53760), ('ReLU', 84, 78, 78, 6, 0), ('conv2d', 101, 78, 78, 6, 76457), ('ReLU', 101, 78, 78, 6, 0), ('conv2d', 120, 78, 78, 6, 109200), ('ReLU', 120, 78, 78, 6, 0), ('c...
ReLU
125,918,035
75,980,857
6
10,261
-1
-1
-1
-1
-1
20
0
0
1
1
SUCCESSFUL
0.12
8,646
289.84
8,935.96
input_channels:3_num_classes:352_depth:16_arch:hourglass_base_filters:51_batch:26_input_size:34_act:gelu_dropout:0.4745235655011236_dropout:True_batchnorm:True.out
16
[('conv2d', 51, 34, 34, 26, 1428), ('batchnorm2d', 51, 34, 34, 26, 102), ('GELU', 51, 34, 34, 26, 0), ('dropout', 51, 34, 34, 26, 0), ('conv2d', 80, 34, 34, 26, 36800), ('batchnorm2d', 80, 34, 34, 26, 160), ('GELU', 80, 34, 34, 26, 0), ('dropout', 80, 34, 34, 26, 0), ('conv2d', 128, 34, 34, 26, 92288), ('batchnorm2d', ...
GELU
31,443,955
46,269,931
26
5,293
-1
-1
-1
-1
-1
16
16
16
1
1
SUCCESSFUL
0.26
7,796.62
176.51
7,973.39
input_channels:3_num_classes:848_depth:9_arch:dense_base_filters:115_batch:26_input_size:44_act:gelu_dropout:0.4464743823600442_dropout:False_batchnorm:True.out
9
[('conv2d', 32, 44, 44, 26, 896), ('batchnorm2d', 32, 44, 44, 26, 64), ('GELU', 32, 44, 44, 26, 0), ('conv2d', 32, 44, 44, 26, 10112), ('batchnorm2d', 32, 44, 44, 26, 64), ('GELU', 32, 44, 44, 26, 0), ('conv2d', 32, 44, 44, 26, 19328), ('batchnorm2d', 32, 44, 44, 26, 64), ('GELU', 32, 44, 44, 26, 0), ('conv2d', 32, 44,...
GELU
1,308,689
362,918
26
2,033
-1
-1
-1
-1
-1
9
9
0
1
1
SUCCESSFUL
0.52
427.44
1.38
429.34
input_channels:1_num_classes:971_depth:9_arch:gradual_base_filters:66_batch:8_input_size:72_act:mish_dropout:0.2531741488388146_dropout:False_batchnorm:True.out
9
[('conv2d', 66, 72, 72, 8, 660), ('batchnorm2d', 66, 72, 72, 8, 132), ('Mish', 66, 72, 72, 8, 0), ('conv2d', 79, 72, 72, 8, 47005), ('batchnorm2d', 79, 72, 72, 8, 158), ('Mish', 79, 72, 72, 8, 0), ('conv2d', 96, 72, 72, 8, 68352), ('batchnorm2d', 96, 72, 72, 8, 192), ('Mish', 96, 72, 72, 8, 0), ('conv2d', 116, 72, 72, ...
Mish
22,241,605
2,350,340
8
2,901
89.3125
0.859738
0.784574
0.30863
0.050904
9
9
0
1
1
SUCCESSFUL
0.16
1,810
8.97
1,819.13
input_channels:3_num_classes:736_depth:21_arch:residual_base_filters:85_batch:52_input_size:198_act:tanh_dropout:0.3518995331313727_dropout:False_batchnorm:True.out
30
[('conv2d', 85, 198, 198, 52, 340), ('batchnorm2d', 85, 198, 198, 52, 170), ('conv2d', 85, 198, 198, 52, 2380), ('batchnorm2d', 85, 198, 198, 52, 170), ('Tanh', 85, 198, 198, 52, 0), ('conv2d', 85, 198, 198, 52, 65110), ('batchnorm2d', 85, 198, 198, 52, 170), ('Tanh', 85, 198, 198, 52, 0), ('conv2d', 98, 99, 99, 52, 84...
Tanh
51,923,132
7,239,816
52
16,203
-1
-1
-1
-1
-1
30
30
0
1
1
SUCCESSFUL
23.4
28,323.88
27.62
28,374.9
input_channels:3_num_classes:668_depth:17_arch:bottleneck_base_filters:122_batch:4_input_size:156_act:tanh_dropout:0.1342660941597862_dropout:False_batchnorm:True.out
17
[('conv2d', 244, 156, 156, 4, 6832), ('batchnorm2d', 244, 156, 156, 4, 488), ('Tanh', 244, 156, 156, 4, 0), ('conv2d', 122, 156, 156, 4, 268034), ('batchnorm2d', 122, 156, 156, 4, 244), ('Tanh', 122, 156, 156, 4, 0), ('conv2d', 145, 156, 156, 4, 159355), ('batchnorm2d', 145, 156, 156, 4, 290), ('Tanh', 145, 156, 156, 4...
Tanh
746,655,868
75,851,681
4
24,681
92.681818
0.912303
0.975585
0.242906
0.010644
17
17
0
1
1
SUCCESSFUL
1.12
30,381.48
289.35
30,671.95
input_channels:3_num_classes:492_depth:21_arch:pyramid_base_filters:51_batch:46_input_size:64_act:relu_dropout:0.15877797868602334_dropout:True_batchnorm:False.out
21
[('conv2d', 51, 64, 64, 46, 1428), ('ReLU', 51, 64, 64, 46, 0), ('dropout', 51, 64, 64, 46, 0), ('conv2d', 60, 64, 64, 46, 27600), ('ReLU', 60, 64, 64, 46, 0), ('dropout', 60, 64, 64, 46, 0), ('conv2d', 72, 64, 64, 46, 38952), ('ReLU', 72, 64, 64, 46, 0), ('dropout', 72, 64, 64, 46, 0), ('conv2d', 86, 64, 64, 46, 55814...
ReLU
127,515,277
75,827,226
46
27,403
93.430769
0.936281
0.959073
0.237764
0.004286
21
0
21
1
1
SUCCESSFUL
2.3
59,668.9
289.26
59,960.46
input_channels:3_num_classes:680_depth:5_arch:hourglass_base_filters:110_batch:18_input_size:156_act:tanh_dropout:0.3911541725483838_dropout:True_batchnorm:True.out
5
[('conv2d', 110, 156, 156, 18, 3080), ('batchnorm2d', 110, 156, 156, 18, 220), ('Tanh', 110, 156, 156, 18, 0), ('dropout', 110, 156, 156, 18, 0), ('conv2d', 474, 156, 156, 18, 469734), ('batchnorm2d', 474, 156, 156, 18, 948), ('Tanh', 474, 156, 156, 18, 0), ('dropout', 474, 156, 156, 18, 0), ('conv2d', 772, 156, 156, 1...
Tanh
171,034,878
6,156,291
18
20,529
-1
-1
-1
-1
-1
5
5
5
1
1
SUCCESSFUL
5.04
29,359.98
23.48
29,388.5
input_channels:3_num_classes:777_depth:1_arch:gradual_base_filters:76_batch:28_input_size:64_act:elu_dropout:0.2031792583315838_dropout:False_batchnorm:True.out
1
[('conv2d', 76, 64, 64, 28, 2128), ('batchnorm2d', 76, 64, 64, 28, 152), ('ELU', 76, 64, 64, 28, 0), ('adaptive_avg_pool2d', 0, 0, 76, 28, 0), ('linear', 0, 0, 777, 28, 59829), ('softmax', 0, 0, 777, 28, 0)]
ELU
935,518
62,109
28
1,913
26.639344
0.285609
0.196714
0.081982
0.035196
1
1
0
1
1
SUCCESSFUL
1.4
266.28
0.24
267.92
input_channels:1_num_classes:896_depth:9_arch:residual_base_filters:101_batch:28_input_size:160_act:tanh_dropout:0.18726661417750098_dropout:True_batchnorm:False.out
12
[('conv2d', 101, 160, 160, 28, 202), ('conv2d', 101, 160, 160, 28, 1010), ('Tanh', 101, 160, 160, 28, 0), ('dropout', 101, 160, 160, 28, 0), ('conv2d', 101, 160, 160, 28, 91910), ('Tanh', 101, 160, 160, 28, 0), ('dropout', 101, 160, 160, 28, 0), ('conv2d', 141, 80, 80, 28, 14382), ('conv2d', 141, 80, 80, 28, 128310), (...
Tanh
36,323,667
2,513,022
28
7,037
90.40625
0.876031
0.913673
0.474945
0.02983
12
0
8
1
1
SUCCESSFUL
2.8
12,193.44
9.59
12,205.83
input_channels:3_num_classes:941_depth:10_arch:dense_base_filters:104_batch:18_input_size:224_act:relu_dropout:0.4436682531579532_dropout:False_batchnorm:False.out
9
[('conv2d', 32, 224, 224, 18, 896), ('ReLU', 32, 224, 224, 18, 0), ('conv2d', 32, 224, 224, 18, 10112), ('ReLU', 32, 224, 224, 18, 0), ('conv2d', 32, 224, 224, 18, 19328), ('ReLU', 32, 224, 224, 18, 0), ('conv2d', 32, 224, 224, 18, 28544), ('ReLU', 32, 224, 224, 18, 0), ('conv2d', 65, 224, 224, 18, 8580), ('ReLU', 65, ...
ReLU
22,581,275
380,318
18
6,649
92.09375
0.891875
0.854685
0.443093
0.138208
9
0
0
1
1
SUCCESSFUL
10.26
6,110.46
1.45
6,122.17
input_channels:3_num_classes:457_depth:8_arch:pyramid_base_filters:111_batch:34_input_size:166_act:selu_dropout:0.24713351837742614_dropout:True_batchnorm:True.out
8
[('conv2d', 111, 166, 166, 34, 3108), ('batchnorm2d', 111, 166, 166, 34, 222), ('SELU', 111, 166, 166, 34, 0), ('dropout', 111, 166, 166, 34, 0), ('conv2d', 159, 166, 166, 34, 159000), ('batchnorm2d', 159, 166, 166, 34, 318), ('SELU', 159, 166, 166, 34, 0), ('dropout', 159, 166, 166, 34, 0), ('conv2d', 230, 166, 166, 3...
SELU
485,318,608
24,940,822
34
39,709
-1
-1
-1
-1
-1
8
8
8
1
1
OOM_CRASH
10.88
157,363.9
95.14
157,469.92
input_channels:1_num_classes:883_depth:9_arch:gradual_base_filters:55_batch:62_input_size:116_act:relu_dropout:0.3008670272816057_dropout:True_batchnorm:False.out
9
[('conv2d', 55, 116, 116, 62, 550), ('ReLU', 55, 116, 116, 62, 0), ('dropout', 55, 116, 116, 62, 0), ('conv2d', 67, 116, 116, 62, 33232), ('ReLU', 67, 116, 116, 62, 0), ('dropout', 67, 116, 116, 62, 0), ('conv2d', 82, 116, 116, 62, 49528), ('ReLU', 82, 116, 116, 62, 0), ('dropout', 82, 116, 116, 62, 0), ('conv2d', 100,...
ReLU
50,744,616
1,843,850
62
15,803
91.390625
0.920397
0.9186
0.424255
0.011926
9
0
9
1
1
SUCCESSFUL
3.1
32,004.4
7.03
32,014.53
input_channels:3_num_classes:399_depth:17_arch:residual_base_filters:75_batch:4_input_size:166_act:prelu_dropout:0.18919502578167746_dropout:True_batchnorm:True.out
24
[('conv2d', 75, 166, 166, 4, 300), ('batchnorm2d', 75, 166, 166, 4, 150), ('conv2d', 75, 166, 166, 4, 2100), ('batchnorm2d', 75, 166, 166, 4, 150), ('PReLU', 75, 166, 166, 4, 0), ('dropout', 75, 166, 166, 4, 0), ('conv2d', 75, 166, 166, 4, 50700), ('batchnorm2d', 75, 166, 166, 4, 150), ('PReLU', 75, 166, 166, 4, 0), ('...
PReLU
42,038,960
4,437,185
4
2,501
79.09375
0.777906
0.585107
0.249607
0.02486
24
24
16
1
1
SUCCESSFUL
1.28
1,667.8
16.93
1,686.01
input_channels:3_num_classes:880_depth:16_arch:residual_base_filters:68_batch:42_input_size:84_act:softplus_dropout:0.40442453449570237_dropout:True_batchnorm:True.out
24
[('conv2d', 68, 84, 84, 42, 272), ('batchnorm2d', 68, 84, 84, 42, 136), ('conv2d', 68, 84, 84, 42, 1904), ('batchnorm2d', 68, 84, 84, 42, 136), ('Softplus', 68, 84, 84, 42, 0), ('dropout', 68, 84, 84, 42, 0), ('conv2d', 68, 84, 84, 42, 41684), ('batchnorm2d', 68, 84, 84, 42, 136), ('Softplus', 68, 84, 84, 42, 0), ('dro...
Softplus
10,022,891
4,557,426
42
3,627
88
0.833825
0.709774
0.316698
0.049385
24
24
16
1
1
SUCCESSFUL
3.36
4,174.8
17.39
4,195.55
input_channels:3_num_classes:243_depth:19_arch:gradual_base_filters:52_batch:44_input_size:122_act:softplus_dropout:0.15086567419848407_dropout:True_batchnorm:False.out
19
[('conv2d', 52, 122, 122, 44, 1456), ('Softplus', 52, 122, 122, 44, 0), ('dropout', 52, 122, 122, 44, 0), ('conv2d', 57, 122, 122, 44, 26733), ('Softplus', 57, 122, 122, 44, 0), ('dropout', 57, 122, 122, 44, 0), ('conv2d', 63, 122, 122, 44, 32382), ('Softplus', 63, 122, 122, 44, 0), ('dropout', 63, 122, 122, 44, 0), ('...
Softplus
120,293,270
4,006,074
44
28,553
-1
-1
-1
-1
-1
19
0
19
1
1
SUCCESSFUL
7.48
53,841.92
15.28
53,864.68
input_channels:3_num_classes:73_depth:17_arch:dense_base_filters:19_batch:10_input_size:38_act:elu_dropout:0.41073658231275767_dropout:False_batchnorm:False.out
17
[('conv2d', 32, 38, 38, 10, 896), ('ELU', 32, 38, 38, 10, 0), ('conv2d', 32, 38, 38, 10, 10112), ('ELU', 32, 38, 38, 10, 0), ('conv2d', 32, 38, 38, 10, 19328), ('ELU', 32, 38, 38, 10, 0), ('conv2d', 32, 38, 38, 10, 28544), ('ELU', 32, 38, 38, 10, 0), ('conv2d', 65, 38, 38, 10, 8580), ('ReLU', 65, 38, 38, 10, 0), ('conv...
ELU
835,227
933,590
10
1,823
53
0.498723
0.266879
0.071517
0.046696
17
0
0
1
1
SUCCESSFUL
0.2
140.1
3.56
143.86
input_channels:3_num_classes:489_depth:17_arch:dense_base_filters:104_batch:46_input_size:198_act:prelu_dropout:0.4704622915008153_dropout:False_batchnorm:True.out
17
[('conv2d', 32, 198, 198, 46, 896), ('batchnorm2d', 32, 198, 198, 46, 64), ('PReLU', 32, 198, 198, 46, 0), ('conv2d', 32, 198, 198, 46, 10112), ('batchnorm2d', 32, 198, 198, 46, 64), ('PReLU', 32, 198, 198, 46, 0), ('conv2d', 32, 198, 198, 46, 19328), ('batchnorm2d', 32, 198, 198, 46, 64), ('PReLU', 32, 198, 198, 46, 0...
PReLU
33,991,295
1,121,944
46
19,861
93.538462
0.895538
0.808071
0.415393
0.118278
17
17
0
1
1
SUCCESSFUL
20.7
21,467.74
4.28
21,492.72
input_channels:1_num_classes:345_depth:10_arch:gradual_base_filters:113_batch:48_input_size:184_act:tanh_dropout:0.2729009071373233_dropout:False_batchnorm:True.out
10
[('conv2d', 113, 184, 184, 48, 1130), ('batchnorm2d', 113, 184, 184, 48, 226), ('Tanh', 113, 184, 184, 48, 0), ('conv2d', 130, 184, 184, 48, 132340), ('batchnorm2d', 130, 184, 184, 48, 260), ('Tanh', 130, 184, 184, 48, 0), ('conv2d', 150, 184, 184, 48, 175650), ('batchnorm2d', 150, 184, 184, 48, 300), ('Tanh', 150, 184...
Tanh
239,396,882
5,103,330
48
40,225
-1
-1
-1
-1
-1
10
10
0
1
1
OOM_CRASH
6.24
116,892.96
19.47
116,918.67
input_channels:3_num_classes:203_depth:4_arch:hourglass_base_filters:51_batch:54_input_size:32_act:selu_dropout:0.4596491899441809_dropout:False_batchnorm:False.out
4
[('conv2d', 51, 32, 32, 54, 1428), ('SELU', 51, 32, 32, 54, 0), ('conv2d', 323, 32, 32, 54, 148580), ('SELU', 323, 32, 32, 54, 0), ('conv2d', 323, 32, 32, 54, 939284), ('SELU', 323, 32, 32, 54, 0), ('conv2d', 51, 32, 32, 54, 148308), ('SELU', 51, 32, 32, 54, 0), ('adaptive_avg_pool2d', 0, 0, 51, 54, 0), ('linear', 0, 0...
SELU
1,532,361
1,248,156
54
2,487
63.90625
0.677234
0.643232
0.242107
0.017386
4
0
0
1
1
SUCCESSFUL
0.54
946.62
4.76
951.92
input_channels:3_num_classes:251_depth:5_arch:pyramid_base_filters:103_batch:42_input_size:124_act:softplus_dropout:0.4826547933524038_dropout:False_batchnorm:False.out
5
[('conv2d', 103, 124, 124, 42, 2884), ('Softplus', 103, 124, 124, 42, 0), ('conv2d', 187, 124, 124, 42, 173536), ('Softplus', 187, 124, 124, 42, 0), ('conv2d', 340, 124, 124, 42, 572560), ('Softplus', 340, 124, 124, 42, 0), ('conv2d', 619, 124, 124, 42, 1894759), ('Softplus', 619, 124, 124, 42, 0), ('conv2d', 1126, 124...
Softplus
73,037,628
9,200,688
42
24,497
-1
-1
-1
-1
-1
5
0
0
1
1
SUCCESSFUL
7.56
35,105.28
35.1
35,147.94
input_channels:3_num_classes:956_depth:17_arch:dense_base_filters:49_batch:56_input_size:110_act:selu_dropout:0.23184104340406383_dropout:True_batchnorm:True.out
17
[('conv2d', 32, 110, 110, 56, 896), ('batchnorm2d', 32, 110, 110, 56, 64), ('SELU', 32, 110, 110, 56, 0), ('dropout', 32, 110, 110, 56, 0), ('conv2d', 32, 110, 110, 56, 10112), ('batchnorm2d', 32, 110, 110, 56, 64), ('SELU', 32, 110, 110, 56, 0), ('dropout', 32, 110, 110, 56, 0), ('conv2d', 32, 110, 110, 56, 19328), ('...
SELU
13,203,461
1,332,094
56
8,819
-1
-1
-1
-1
-1
17
17
16
1
1
SUCCESSFUL
7.84
9,224.88
5.08
9,237.8
input_channels:3_num_classes:93_depth:19_arch:bottleneck_base_filters:82_batch:12_input_size:52_act:leaky_relu_dropout:0.18734393508325708_dropout:False_batchnorm:False.out
19
[('conv2d', 164, 52, 52, 12, 4592), ('LeakyReLU', 164, 52, 52, 12, 0), ('conv2d', 82, 52, 52, 12, 121114), ('LeakyReLU', 82, 52, 52, 12, 0), ('conv2d', 98, 52, 52, 12, 72422), ('LeakyReLU', 98, 52, 52, 12, 0), ('conv2d', 117, 52, 52, 12, 103311), ('LeakyReLU', 117, 52, 52, 12, 0), ('conv2d', 140, 52, 52, 12, 147560), (...
LeakyReLU
55,152,682
73,471,159
12
9,635
92.359375
0.921875
0.931056
0.227093
0.00487
19
0
0
1
1
SUCCESSFUL
0.36
7,574.04
280.27
7,854.67
input_channels:3_num_classes:720_depth:27_arch:uniform_base_filters:41_batch:34_input_size:124_act:gelu_dropout:0.3961982119497405_dropout:False_batchnorm:False.out
27
[('conv2d', 41, 124, 124, 34, 1148), ('GELU', 41, 124, 124, 34, 0), ('conv2d', 41, 124, 124, 34, 15170), ('GELU', 41, 124, 124, 34, 0), ('conv2d', 41, 124, 124, 34, 15170), ('GELU', 41, 124, 124, 34, 0), ('conv2d', 41, 124, 124, 34, 15170), ('GELU', 41, 124, 124, 34, 0), ('conv2d', 41, 124, 124, 34, 15170), ('GELU', 41...
GELU
34,043,945
425,808
34
7,021
92.453125
0.900203
0.922571
0.424625
0.259911
27
0
0
1
1
SUCCESSFUL
6.12
13,246.4
1.62
13,254.14
input_channels:3_num_classes:367_depth:9_arch:uniform_base_filters:105_batch:16_input_size:184_act:tanh_dropout:0.3183605911466544_dropout:True_batchnorm:False.out
9
[('conv2d', 105, 184, 184, 16, 2940), ('Tanh', 105, 184, 184, 16, 0), ('dropout', 105, 184, 184, 16, 0), ('conv2d', 105, 184, 184, 16, 99330), ('Tanh', 105, 184, 184, 16, 0), ('dropout', 105, 184, 184, 16, 0), ('conv2d', 105, 184, 184, 16, 99330), ('Tanh', 105, 184, 184, 16, 0), ('dropout', 105, 184, 184, 16, 0), ('con...
Tanh
95,982,599
836,482
16
7,657
93.375
0.928333
0.934291
0.511
0.023436
9
0
9
1
1
SUCCESSFUL
6.24
15,622.08
3.19
15,631.51
input_channels:3_num_classes:730_depth:20_arch:dense_base_filters:41_batch:18_input_size:220_act:mish_dropout:0.4815057511888913_dropout:False_batchnorm:True.out
21
[('conv2d', 32, 220, 220, 18, 896), ('batchnorm2d', 32, 220, 220, 18, 64), ('Mish', 32, 220, 220, 18, 0), ('conv2d', 32, 220, 220, 18, 10112), ('batchnorm2d', 32, 220, 220, 18, 64), ('Mish', 32, 220, 220, 18, 0), ('conv2d', 32, 220, 220, 18, 19328), ('batchnorm2d', 32, 220, 220, 18, 64), ('Mish', 32, 220, 220, 18, 0), ...
Mish
46,611,237
1,896,762
18
12,855
-1
-1
-1
-1
-1
21
21
0
1
1
SUCCESSFUL
9.9
12,180.42
7.24
12,197.56
input_channels:1_num_classes:692_depth:10_arch:dense_base_filters:105_batch:46_input_size:210_act:gelu_dropout:0.4580626185433372_dropout:False_batchnorm:False.out
9
[('conv2d', 32, 210, 210, 46, 320), ('GELU', 32, 210, 210, 46, 0), ('conv2d', 32, 210, 210, 46, 9536), ('GELU', 32, 210, 210, 46, 0), ('conv2d', 32, 210, 210, 46, 18752), ('GELU', 32, 210, 210, 46, 0), ('conv2d', 32, 210, 210, 46, 27968), ('GELU', 32, 210, 210, 46, 0), ('conv2d', 64, 210, 210, 46, 8320), ('ReLU', 64, 2...
GELU
19,758,376
327,604
46
12,449
91.046875
0.898234
0.850618
0.442
0.167382
9
0
0
1
1
SUCCESSFUL
7.82
13,635.78
1.25
13,644.85
input_channels:3_num_classes:979_depth:28_arch:bottleneck_base_filters:40_batch:2_input_size:138_act:prelu_dropout:0.23256753584072662_dropout:True_batchnorm:False.out
28
[('conv2d', 80, 138, 138, 2, 2240), ('PReLU', 80, 138, 138, 2, 0), ('dropout', 80, 138, 138, 2, 0), ('conv2d', 40, 138, 138, 2, 28840), ('PReLU', 40, 138, 138, 2, 0), ('dropout', 40, 138, 138, 2, 0), ('conv2d', 46, 138, 138, 2, 16606), ('PReLU', 46, 138, 138, 2, 0), ('dropout', 46, 138, 138, 2, 0), ('conv2d', 53, 138, ...
PReLU
734,949,776
98,062,369
2
9,189
-1
-1
-1
-1
-1
28
0
28
1
1
SUCCESSFUL
0.44
14,952.58
374.08
15,327.1
input_channels:1_num_classes:897_depth:7_arch:bottleneck_base_filters:63_batch:26_input_size:182_act:elu_dropout:0.28643393287356267_dropout:False_batchnorm:False.out
7
[('conv2d', 126, 182, 182, 26, 1260), ('ELU', 126, 182, 182, 26, 0), ('conv2d', 63, 182, 182, 26, 71505), ('ELU', 63, 182, 182, 26, 0), ('conv2d', 112, 182, 182, 26, 63616), ('ELU', 112, 182, 182, 26, 0), ('conv2d', 201, 182, 182, 26, 202809), ('ELU', 201, 182, 182, 26, 0), ('conv2d', 359, 182, 182, 26, 649790), ('ELU'...
ELU
175,427,644
10,701,971
26
34,403
-1
-1
-1
-1
-1
7
0
0
1
1
SUCCESSFUL
3.38
52,197.6
40.82
52,241.8
input_channels:1_num_classes:454_depth:14_arch:dense_base_filters:127_batch:10_input_size:38_act:gelu_dropout:0.15214681883288939_dropout:True_batchnorm:True.out
13
[('conv2d', 32, 38, 38, 10, 320), ('batchnorm2d', 32, 38, 38, 10, 64), ('GELU', 32, 38, 38, 10, 0), ('dropout', 32, 38, 38, 10, 0), ('conv2d', 32, 38, 38, 10, 9536), ('batchnorm2d', 32, 38, 38, 10, 64), ('GELU', 32, 38, 38, 10, 0), ('dropout', 32, 38, 38, 10, 0), ('conv2d', 32, 38, 38, 10, 18752), ('batchnorm2d', 32, 3...
GELU
1,387,468
617,286
10
1,843
35.318182
0.341108
0.162018
0.042439
0.026053
13
13
12
1
1
SUCCESSFUL
0.1
165.9
2.35
168.35
input_channels:3_num_classes:767_depth:12_arch:residual_base_filters:120_batch:32_input_size:114_act:selu_dropout:0.15211869674056133_dropout:False_batchnorm:True.out
18
[('conv2d', 120, 114, 114, 32, 480), ('batchnorm2d', 120, 114, 114, 32, 240), ('conv2d', 120, 114, 114, 32, 3360), ('batchnorm2d', 120, 114, 114, 32, 240), ('SELU', 120, 114, 114, 32, 0), ('conv2d', 120, 114, 114, 32, 129720), ('batchnorm2d', 120, 114, 114, 32, 240), ('SELU', 120, 114, 114, 32, 0), ('conv2d', 152, 57, ...
SELU
25,830,261
6,640,896
32
6,889
90.8
0.883641
0.846764
0.376382
0.042852
18
18
0
1
1
SUCCESSFUL
4.8
8,670.72
25.33
8,700.85
input_channels:1_num_classes:225_depth:28_arch:hourglass_base_filters:84_batch:26_input_size:6_act:elu_dropout:0.4451004815227192_dropout:True_batchnorm:False.out
0
[]
null
0
0
26
0
0
0.049
0.184
0.081
0
0
0
0
0
0
SUCCESSFUL
0
0
0
0
input_channels:1_num_classes:637_depth:18_arch:pyramid_base_filters:90_batch:42_input_size:76_act:softplus_dropout:0.19359141098974716_dropout:True_batchnorm:True.out
18
[('conv2d', 90, 76, 76, 42, 900), ('batchnorm2d', 90, 76, 76, 42, 180), ('Softplus', 90, 76, 76, 42, 0), ('dropout', 90, 76, 76, 42, 0), ('conv2d', 107, 76, 76, 42, 86777), ('batchnorm2d', 107, 76, 76, 42, 214), ('Softplus', 107, 76, 76, 42, 0), ('dropout', 107, 76, 76, 42, 0), ('conv2d', 127, 76, 76, 42, 122428), ('ba...
Softplus
238,436,275
77,275,452
42
39,241
24
0.051833
0.131
0.048
0.007
18
18
18
1
1
OOM_CRASH
0.84
95,503.8
294.78
95,799.42
input_channels:3_num_classes:415_depth:28_arch:dense_base_filters:111_batch:38_input_size:204_act:prelu_dropout:0.42874186807728776_dropout:False_batchnorm:True.out
30
[('conv2d', 32, 204, 204, 38, 896), ('batchnorm2d', 32, 204, 204, 38, 64), ('PReLU', 32, 204, 204, 38, 0), ('conv2d', 32, 204, 204, 38, 10112), ('batchnorm2d', 32, 204, 204, 38, 64), ('PReLU', 32, 204, 204, 38, 0), ('conv2d', 32, 204, 204, 38, 19328), ('batchnorm2d', 32, 204, 204, 38, 64), ('PReLU', 32, 204, 204, 38, 0...
PReLU
56,058,062
3,105,221
38
26,789
94.203125
0.931587
0.857642
0.444377
0.105962
30
30
0
1
1
SUCCESSFUL
18.24
31,306.68
11.85
31,336.77
input_channels:1_num_classes:794_depth:20_arch:gradual_base_filters:69_batch:34_input_size:160_act:prelu_dropout:0.42200336181145437_dropout:True_batchnorm:True.out
20
[('conv2d', 69, 160, 160, 34, 690), ('batchnorm2d', 69, 160, 160, 34, 138), ('PReLU', 69, 160, 160, 34, 0), ('dropout', 69, 160, 160, 34, 0), ('conv2d', 75, 160, 160, 34, 46650), ('batchnorm2d', 75, 160, 160, 34, 150), ('PReLU', 75, 160, 160, 34, 0), ('dropout', 75, 160, 160, 34, 0), ('conv2d', 81, 160, 160, 34, 54756)...
PReLU
354,203,533
6,328,214
34
40,309
-1
-1
-1
-1
-1
20
20
20
1
1
OOM_CRASH
3.4
114,849.96
24.14
114,877.5