1
0
Fork 0
mirror of synced 2024-07-15 19:36:21 +12:00
waifu2x/models/anime_style_art_rgb/noise2_model.t7

1728 lines
4.3 MiB
Plaintext
Raw Normal View History

4
1
3
V 1
13
nn.Sequential
3
2
3
2
9
gradInput
4
2015-11-06 14:43:05 +13:00
3
3
V 1
16
torch.CudaTensor
0
1
0
2
7
modules
3
2015-11-06 14:43:05 +13:00
4
14
1
1
4
2015-11-06 14:43:05 +13:00
5
3
V 1
23
nn.SpatialConvolutionMM
3
2015-11-06 14:43:05 +13:00
6
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
11
nInputPlane
1
3
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
7
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
8
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
2015-11-06 14:43:05 +13:00
9
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
1
32
1
1
4
2015-11-06 14:43:05 +13:00
10
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
32
-0 0 0 -0 0 0 -0 -0 0 0 0 0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
2015-11-06 14:43:05 +13:00
32
2
4
2015-11-06 14:43:05 +13:00
bias
4
11
3
V 1
16
torch.CudaTensor
1
32
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
12
3
V 1
17
torch.CudaStorage
32
-0.0362644307 -0.00066815241 -0.0465522781 -0.00103803352 -0.121893287 -0.207139671 -0.305945456 -0.0281681884 -0.0166439172 -0.052675955 0.0602397956 0.025247734 -0.0127598271 -0.0163484272 -0.030300742 0.000131451918 -0.00377719779 -0.000765526493 -0.00968731381 -0.252743155 0.10097342 0.112445965 -0.0166974273 -0.0109852124 -0.00139379862 -0.314005166 -0.0455733575 -0.00557899196 0.0286709983 0.00493888836 -0.422329336 -0.0016660688
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
2015-11-06 14:43:05 +13:00
6
finput
4
13
3
V 1
16
torch.CudaTensor
0
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
2015-11-06 14:43:05 +13:00
14
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
32 27
27 1
1
4
2015-11-06 14:43:05 +13:00
15
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
864
-0.0265906565 -0.0528349429 -0.0356998593 0.0283454042 0.0245992355 -0.0611080863 -0.0107914908 0.0767941475 0.0643794835 -0.0852296352 -0.11718002 -0.138934866 -0.141788661 0.140102938 0.0157731436 0.180355012 0.206089646 -0.0763758719 0.0619994998 0.0571390241 0.0282020252 0.0191253778 -0.189258784 0.00721787987 0.00929025654 -0.0502479002 0.0718020648 0.0545552857 -0.0803281441 0.0381861143 0.114536278 0.0178119317 -0.131192356 0.0813599676 -0.208868027 0.115503177 -0.0798357427 0.169854388 -0.125053763 -0.231401145 0.0964983702 0.208559081 0.106060773 -0.0527786538 -0.107571341 0.0168943349 -0.0305706095 -0.0664696991 0.0166384857 0.0961372703 -0.100735113 -0.13866964 0.126026198 0.0742381439 -0.0206565838 0.0368190929 -0.0373321511 0.110602625 0.042894356 -0.103494883 -0.0891416296 -0.0554428957 0.126094475 -0.114184111 0.0345418006 0.110079803 -0.00987669919 -0.125865966 0.0531047806 -0.0396872871 0.150186017 -0.0486505702 0.19538036 0.0315743722 -0.17546232 0.0958124027 -0.0251973979 -0.112959303 0.156015992 -0.0504698642 -0.121293582 -0.219078809 -0.114059433 -0.173034295 -0.231695041 -0.0922441334 -0.141824275 -0.234061822 -0.232181698 -0.235856608 -0.141948119 0.0794711635 0.0120869204 -0.000828101125 0.0721083805 0.0921223387 0.0445165187 -0.0896543413 -0.0522131138 0.0990465581 0.0163426567 -0.189988598 -0.0954925641 0.0519874878 -0.153450966 -0.134508327 -0.0618496984 0.165298939 0.134126216 0.0370129533 -0.17271024 0.166345596 -0.170736238 -0.0443445705 0.0874705762 0.0757214949 -0.060433656 -0.107661106 0.0209775399 0.0890627131 0.0618318655 -0.0625956804 0.147149071 -0.0297079664 -0.074259609 0.0302349143 -0.0137400441 -0.0451758988 0.058484558 -0.11075598 0.138041973 -0.159651414 0.00429794285 0.0442921892 0.0779706165 -0.174160868 0.0729806349 0.0105261365 0.137879401 0.0950007588 -0.122277871 -0.045972459 0.0884266347 0.145648286 0.204268664 -0.0362835564 -0.0265528336 -0.140930966 0.0348170698 0.234241545 -0.0408054255 -0.199239939 -0.053176105 0.00762240263 -0.0710247755 -0.108106703 -0.0784012675 -0.109147809 0.172220647 0.132000089 0.0915342718 -0.0183037799 -0.0111892764 -0.0753538013 0.0024764312 -0.0144595094 -0.0379985012 -0.0804184675 -0.0599305741 -0.0462232269 -0.141037852 0.178678423 0.150904685 0.0662664101 0.164782465 -0.0111988997 0.108920798 -0.147129938 0.172608823 0.14543815 0.0536639206 -0.0564047135 0.0527055524 0.0233471654 -0.0661736131 -0.0820387304 0.104518272 0.0235710349 -0.044051636 -0.0401814841 0.0130241867 0.0329802185 0.0701718405 -0.0159423649 -0.0595658123 -0.0672328994 -0.0012637676 0.0803022012 -0.0168463886 0.0367014147 -0.140679598 -0.0201285239 -0.0545179658 0.0624803044 0.0909675434 0.139889866 -0.094205007 0.133142605 0.101943888 0.210022494 -0.131029159 -0.0909013674 0.0166541357 -0.00888754148 -0.176611796 -0.0673070177 -0.0682004318 -0.10996858 0.0549615994 -0.0401381031 0.162067398 0.00579951331 0.0552223139 0.0456313118 -0.119189553 -0.174565569 0.00862707384 0.0646753237 0.089933522 0.057049986 0.072731562 -0.109585844 -0.0542029664 0.0453809835 0.158173695 0.0764977708 -0.0740849003 -0.0159046128 -0.195703685 -0.0472662263 -0.0114549408 0.0267391615 0.0923522338 -0.138791278 0.0347508974 0.0797927305 -0.0128036076 0.0994305983 -0.0404207334 -0.130495697 0.0233037025 -0.0196634475 0.00738640642 0.144503728 0.0163194835 0.125044808 0.228013232 -0.0402676016 0.192483366 0.178698763 0.142430618 -0.0113211256 -0.151091993 0.113125928 0.0256286487 -0.0363431089 -0.0638508946 0.0794887021 0.134493634 -0.0933264047 -0.0213955604 -0.0260806791 0.142768756 0.0330728516 -0.0806382447 -0.0691098869 -0.0101705473 0.104682289 0.177904353 -0.0148645788 0.0754068345 0.0788101628 0.155766144 -0.133661434 0.133126438 0.124165602 -0.0625972673 -0.0369419344 0.041363854 -0.132338107 -0.116080135 -0.204215854 -0.0841118097 -0.105352946 -0.142732188 -0.0959951431 -0.142736122 0.0382394716 0.0555199161 -0.0632406101 0.0796772689 -0.14088054 0.194123536 0.00509758759 -0.0052931197 -0.166595966 -0.096454829 0.0836059451 -0.0307614487 -0.127863452 0.0643307492 -0.0947774947 0.0928
2
5
train
5
0
2
2015-11-06 14:43:05 +13:00
10
gradWeight
4
2015-11-06 14:43:05 +13:00
16
3
V 1
16
torch.CudaTensor
2
32 27
27 1
1
4
2015-11-06 14:43:05 +13:00
17
3
V 1
17
torch.CudaStorage
864
-0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 0 -0 0 -0 -0 0 0 0 0 -0 0 -0 -0 0 0 0 0 0 -0 -0 0 -0 0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 -0 -0 -0 0 0 0 0 0 -0 -0 0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 0 -0 -0 -0 -0 0 0 0 0 -0 0 0 -0 0 -0 0 -0 0 0 0 0 0 0 0 0 0 0 0 -0 0 0 -0 -0 -0 0 0 0 -0 -0 0 -0 -0 -0 -0 -0 0 -0 0 0 0 -1.79085944e-42 -1.12103877e-44 -1.17709071e-43 -0 0 0 0 0 0 0 0 0 -0 2.99983769e-36 2.34196192e-36 2.17084799e-36 2.44746799e-36 1.99992348e-36 5.12875238e-43 2.95673976e-43 0 4.20389539e-45 -2.31596038e-31 -1.54072021e-31 -1.21234916e-31 -1.54072773e-31 -1.13614985e-31 1.821688e-44 4.90454463e-44 1.40129846e-45 1.40129846e-45 9.9492191e-43 3.08285662e-43 3.69942795e-43 6.06762235e-43 2.25609053e-43 0 0 -0 0 1.07278022e-35 8.47987304e-36 9.03950708e-36 9.69878262e-36 6.64297945e-36 1.40129846e-45 1.26116862e-44 0 1.12103877e-44 3.78600801e-36 2.33565971e-36 2.22071754e-36 2.65544095e-36 2.46777224e-36 -2.23144977e-30 -2.40053137e-30 -1.38906099e-30 -1.51675465e-30 -0 -1.96181785e-44 -1.33403614e-42 -2.6442502e-42 9.80908925e-45 0 0 0 0 6.17972623e-43 3.99370062e-43 3.09686961e-43 3.39114228e-43 2.4662853e-43 -3.40263293e-41 -3.1438131e-41 -7.48423331e-37 -5.5318286e-37 0 0 0 0 -1.40129846e-45 0 0 0 0 4.20389539e-45 4.20389539e-45 4.20389539e-45 5.60519386e-45 4.20389539e-45 1.26116862e-44 1.20511668e-43 -1.40129846e-45 -0 -1.20450011e-40 -4.91981878e-41 -1.53004977e-40 -3.50540416e-40 6.48801189e-42 0 0 0 0 5.60519386e-45 0 0 1.12103877e-44 0 -1.79902217e-37 -3.96850864e-37 -2.14865662e-38 -1.43247764e-38 7.99195603e-38 4.41425664e-38 3.62320011e-38 4.56130329e-38 2.98152649e-38 -0 -0 -1.40129846e-45 -1.77964905e-43 -2.87589717e-37 -3.89288701e-39 -1.29366507e-37 -2.15928892e-36 -1.59250564e-39 -0 -0 -0 -0 1.40129846e-45 1.40129846e-45 5.60519386e-45 1.40129846e-45 -0 -1.56988752e-31 -1.8641382e-31 -6.58205249e-32 -5.74971785e-32 -1.57085558e-42 5.32493416e-44 -4.42810315e-43 -8.40624936e-40 3.00774702e-41 0 0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 0 0 -0 -0 0 0 0 0 0 0 0 -0 0 -0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 0 0 -0 0 -0 -0 0 0 0 0 0 0 0 -0 -0 -0 0 0 0 -0 -0 -0 -0 0 0 -0 0 -0 0 0 -0 0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 -0 0 -0 -0 -0 -0 0 0 -0 0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 0 0 -0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 -0 0 0 -0 -0 0 0 0 0 0 0 0 0 -0 -0 0 0 -0 0 0 0 -0 -0 -0 0 0 0 0 0 0 -0 0 -0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 -0 -0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 -0 -0 0 -0 0 0 -0 0 -0 0 0 -0 0 -0 -0 0 -0 -0 -0 -0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 9.38869971e-44 1.62550622e-43 1.40129846e-43 4.34402524e-44 1.42932443e-43 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 9.01034913e-43 9.75303731e-43 4.17867202e-42 3.07024494e-42 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 -0 -0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 0 0 0 0 0 -0 0 0 0 -0 1.42932443e-43 4.34402524e-44 5.45105103e-43 2.2841165e-43 0 0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -2.41023336e-43 -1.28919459e-43 -1.0930128e-43 -1.31722056e-43 -1.48537637e-43 -0 -0 0 0 1.28468493e-38 6.41726453e-39 2.97186818e-39 5.32792454e-39 7.58662568e-39 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -1.0005271e-42 -5.3809861e-43 -5.88545355e-43 -6.72623263e-43 -4.35803822e-43 -0 -0 -0 -0 -2.11596068e-43 -1.02294788e-43 -8.40779079e-44 -1.19110369e-43 -1.7376101e-43 1.6644316e-37 1.9672513e-37 7.94924669e-38 8.73364649e-38 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 1.21352447e-42 1.22613616e-42 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 4.20389539e-45 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 4.20389539e-45 1.12103877e-44 1.40129846e-45 0 -4.20389539e-45 -1.40129846e-45 -1.40129846e-45 -1.40129846e-45 -1.40129846e-45 0 0 0 0 8.54792063e-44 0 4.20389539e-45 1.76563607e-43 0
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
18
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
4
padH
1
0
2015-11-06 14:43:05 +13:00
2
2
dH
1
1
2
2
kW
1
3
1
2
4
19
3
V 1
2015-11-06 14:43:05 +13:00
14
w2nn.LeakyReLU
3
20
5
2
2015-11-06 14:43:05 +13:00
5
train
5
0
2
8
negative
4
21
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
22
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
output
4
23
3
V 1
16
torch.CudaTensor
0
1
0
2015-11-06 14:43:05 +13:00
2
14
negative_scale
1
0.10000000000000001
1
3
4
24
3
V 1
23
nn.SpatialConvolutionMM
3
25
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
0
2
11
nInputPlane
1
32
2
6
output
4
26
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
0
1
2015-11-06 14:43:05 +13:00
0
2
9
gradInput
4
27
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
28
3
V 1
16
torch.CudaTensor
1
2015-11-06 14:43:05 +13:00
32
1
1
4
29
3
V 1
2015-11-06 14:43:05 +13:00
17
torch.CudaStorage
32
0 -0 -0 0 0 -0 0 0 0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 0 0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
32
2
4
2015-11-06 14:43:05 +13:00
bias
4
30
3
V 1
16
torch.CudaTensor
1
32
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
31
3
V 1
17
torch.CudaStorage
32
-0.0200882033 -0.00904093869 -0.0141141266 -0.0290259887 -0.0353261381 -0.0923143923 0.0783926994 -0.0322223231 -0.0164498519 0.0105650369 -0.0513622612 -0.0340581909 -0.00710544409 -0.0359183401 -0.0125489775 0.017015487 0.0215025097 -0.0404250473 0.00667293696 -0.0371246301 -0.0330374241 -0.0226343106 -0.100737728 -0.0205627326 -0.0670646876 0.063816376 0.0141822258 0.0592865236 0.00544188777 -0.0202662386 -0.183741033 0.0209498927
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
2015-11-06 14:43:05 +13:00
6
finput
4
32
2015-11-06 14:43:05 +13:00
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
2015-11-06 14:43:05 +13:00
33
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
32 288
288 1
1
4
2015-11-06 14:43:05 +13:00
34
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
9216
0.0048647956 0.0386004597 -0.00799801853 -0.0377177559 -0.420249462 -0.0584483817 0.000467045058 0.132674038 0.0953536481 -0.00793262199 -0.0034211739 -0.0358223394 0.00931664556 -0.00116812764 -0.00662853615 -0.0977231115 0.0434414037 0.033743605 -0.0273164418 0.0482387245 -0.0178399701 -0.0265740473 -0.011540235 -0.0102537693 -0.0375653654 -0.0954945758 -0.0149323456 -0.105404779 -0.000573418394 -0.0835162476 0.0775418133 0.0758243427 -0.00606117025 0.0203423388 0.0938908979 0.0681322813 0.0384697095 0.0234468859 0.0648884028 -0.0324738659 -0.0519614927 0.0165798087 -0.0677731037 0.0108647365 -0.051639244 0.0128534259 0.0271470807 0.0348068103 0.106985681 -0.0112332655 0.0236850288 -0.124918707 0.094891414 -0.029550273 -0.011086612 0.0234539062 -0.0118888197 0.0693998337 -0.00818384811 0.0348508544 -0.0812590867 -0.0240323506 -0.0282983202 0.0409988165 -0.0394730903 0.0841868743 0.0300789047 -0.013443185 -0.0690575764 0.0266703218 0.0361519828 -0.020124739 -0.0499516129 0.061044693 0.0524116158 0.0359908976 0.00843591243 -0.0650819466 -0.090886645 -0.0585186668 0.0140541466 0.108023889 0.166471064 -0.0173360873 -0.0260383841 -0.0372671708 -0.117063493 -0.0466136001 -0.0435176305 0.0195459705 0.0263427552 -0.00648589991 0.0203930642 0.0195780285 -0.0561750829 0.00108010566 0.00275686127 0.00654655928 -0.000610388932 -0.000501968316 0.0606529191 -0.0452707112 0.01556026 0.0882608965 -0.011332362 0.0332196616 0.00639445195 0.0237115528 0.0587729737 -0.0718189478 -0.0317470953 -0.00401881197 -0.0242871474 0.0221632738 -0.0143853948 -0.00772371097 -0.0961614847 -0.108412772 0.070815295 0.0683878958 -0.0762367994 -0.00796538312 -0.193771586 0.0548301637 -0.0445371754 0.072691448 -0.0032921792 0.0576464273 0.0491868332 -0.176339522 -0.0838980302 -0.0905741751 0.121431202 0.0144087067 -0.0098270867 -0.00581896398 0.0290536992 0.0584139898 0.0139744524 -0.0488994457 -0.0261186138 -0.0126907295 -0.0295207035 -0.0370269977 -0.0636148602 -0.0666364357 -0.103695191 -0.0442213714 0.0120258182 -0.0612639897 -0.0323019475 -0.0420455784 0.0352287516 -0.201389149 0.0439357571 -0.0481185429 -0.0076804217 -0.0235321932 -0.223042265 0.13128525 -0.0015267916 0.0397903211 0.0412725843 -0.0310914274 0.0757775977 0.0560987219 0.0716981366 0.03987379 -0.0284162518 0.0464576632 -0.0147599466 0.0407650284 0.065961808 0.0846419409 0.0203674603 -0.100659169 -0.0711388662 -0.0370933488 0.0297835711 -0.0305619296 -0.185389653 -0.10650593 -0.0323586017 0.0472506136 0.0354360193 0.073562406 0.113189146 0.0784085914 0.0283612143 -0.0664061829 -0.0710017905 -0.0594893247 -0.132460952 -0.00933770649 0.0245542862 0.0634710714 0.100571342 0.122464418 -0.0341966674 0.00609780848 -0.058624126 -0.0310902297 -0.0761933699 -0.0564405434 -0.0532183573 0.0691496283 -0.158398524 0.0635461882 0.030558493 -0.0294805709 0.0143298861 -0.0271279439 0.0134854624 0.00321933092 0.085492596 -0.0280020107 -0.0503159538 -0.0025333236 0.0172640365 0.0303612817 -0.0439758673 -0.0302333813 -0.00645156996 -0.0809856206 -0.0414957181 0.0501791574 0.014117931 0.0284025595 -0.0268245805 -0.0171016473 0.0641719028 -0.0895486027 -0.0971344709 -0.0385745503 -0.0193408653 0.0319864079 0.00301987655 0.00483851787 -0.00351232407 0.0272086654 0.00520269852 -0.0135525903 -0.033649724 -0.00815478805 -0.0748078823 -0.0639377385 0.0433129668 0.114910699 -0.048774004 -0.0311013348 0.0796377808 0.00746884383 0.000439154566 -0.0328779556 -0.0457277037 0.127718061 0.280890703 0.0852204859 -0.106132962 -0.0972688124 0.0241940189 0.0349112786 -0.126959845 -0.024697097 0.0318800807 0.13561964 0.0508257225 0.00193804293 0.0593975261 -0.0158126354 0.151872173 0.10643848 0.126955599 0.098865442 0.0714602172 -0.442187041 0.0340108983 -0.00379443727 0.114777617 0.0442042835 -0.182001114 0.00793038681 -0.0754916966 0.00611449173 -0.0159117077 0.0883584991 0.0678270459 -0.0662214682 -0.218891054 -0.129912004 0.116671614 0.0313457847 -0.0951834619 0.0761880651 0.0973117352 -0.214646429 -0.147684708 -0.171197176 0.140382573 0.152084097 -0.157138392 -0.105532512 0.0731537864 0.0619131699 0.00428235857 0.06184
2
5
train
5
0
2
2015-11-06 14:43:05 +13:00
10
gradWeight
4
2015-11-06 14:43:05 +13:00
35
3
V 1
16
torch.CudaTensor
2
32 288
288 1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
36
3
V 1
17
torch.CudaStorage
9216
-0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 -0 0 0 0 0 -0 -0 0 -0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 0 0 0 -0 -0 0 -0 -0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 0 -0 0 0 0 0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 0 -0 0 0 0 0 -0 0 0 0 0 0 -0 -0 -0 0 1.40129846e-45 1.40129846e-45 1.40129846e-45 0 -0 -0 -0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 0 -0 -0 0 3.22298647e-44 3.22298647e-44 3.64337601e-44 3.78350585e-44 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 -0 -0 -0 0 0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 7.28675201e-44 5.46506401e-44 2.52233724e-44 1.54142831e-44 1.10702579e-43 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 0 -0 0 0 0 0 0 0 -0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 0 -0 -0 0 0 0 0 0 -0 -0 -0 0 -0 0 0 0 0 -0 0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 0 0 0 0 0 -0 0 0 0 0 0 -0 -0 0 0 0 0 0 -0 0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 0 -0 0 0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 0 0 -0 0 -0 -0 0 -0 -0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 0 0 0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 0 0 0 0 0 -0 0 -0 0 0 0 0 0 -0 -0 0 -0 0 0 0 -0 0 0 0 -0 -0 -0 0 -0 0 0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 0 0 -0 0 0 0 0 0 0 0 0 -0 -0 0 0 0 -0 0 0 0 0 -0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 -0 0 0 0 0 0 0 0 -0 0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 0 -0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 0 -0 0 0 0 0 -0 -2.80259693e-45 -2.80259693e-45 -1.40129846e-45 -4.20389539e-45 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 0 -0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 0 0 0 -0 0 0 -0 -0 -0 -0 0 -0 -0 0 0 0 0 0 0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 0 -0 -0 0 0 0 0 0 -0 -0 0 -0 -0 0 -0 -0 0 -0 0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 0 0 -0 0 0 -0 0 0 0 0 0 -0 0 0 -0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 0 0 0 0 -0 -0 0 -0 0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 -0 0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 0 -0 -0 -0 -0 -0 0 0 -0 0 0 0 0 0 -0 -2.80259693e-45 -1.40129846e-45 -0 -0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 0 0 0 0 0 0 0 -0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 0 -0 0 0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 0 0 0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 0 0 -0 0 0 -0 0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 0 0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 -0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 -0 0 -0 0 -0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 -0 4.76348781e-36 4.36134018e-36 4.32981764e-36 4.90659909e-36 0 0 0 0 -0 -1.96181785e-44 -1.40129846e-44 -2.80259693e-44 -2.38220739e-44 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 -0 -0 0 -0 0 -0 -0 -0 -0 1.14695834e-35 1.13072412e-35 1.25527213e-35 1.20998805e-35 0 0 0 0 3.95166167e-43 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 1.40129846e-45 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 1.821688e-44 3.50324616e-44 7.00649232e-45 1.12103877e-44 0 0 0 -0 0 -0 -0 -0 -0 2.0280707e-35 3.28272926e-35 3.49855645e-35 3.10346637e-35 1.64423793e-35 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -2.01976715e-39 -3.80514891e-39 -4.1080704e-39 -3.34385827e-39 -2.45922976e-39 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 -8.211609e-43
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
37
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
4
padH
1
0
2015-11-06 14:43:05 +13:00
2
2
dH
1
1
2
2
kW
1
3
1
4
4
2015-11-06 14:43:05 +13:00
38
3
V 1
2015-11-06 14:43:05 +13:00
14
w2nn.LeakyReLU
3
2015-11-06 14:43:05 +13:00
39
5
2
5
train
5
2015-11-06 14:43:05 +13:00
0
2
8
negative
4
2015-11-06 14:43:05 +13:00
40
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
41
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
42
3
V 1
16
torch.CudaTensor
0
1
0
2015-11-06 14:43:05 +13:00
2
14
negative_scale
1
0.10000000000000001
1
5
4
2015-11-06 14:43:05 +13:00
43
3
V 1
23
nn.SpatialConvolutionMM
3
2015-11-06 14:43:05 +13:00
44
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
11
nInputPlane
1
2015-11-06 14:43:05 +13:00
32
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
45
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
46
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
2015-11-06 14:43:05 +13:00
47
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
1
64
1
1
4
2015-11-06 14:43:05 +13:00
48
3
V 1
2015-11-06 14:43:05 +13:00
17
torch.CudaStorage
64
0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 0 -0 -0 -7.00649232e-45 -2.80259693e-45 -2.80259693e-45 -1.40129846e-45 -1.40129846e-45 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 -0 0 -0 0 -0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
2015-11-06 14:43:05 +13:00
64
2
4
2015-11-06 14:43:05 +13:00
bias
4
49
3
V 1
16
torch.CudaTensor
1
64
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
50
3
V 1
17
torch.CudaStorage
64
-0.104559578 -0.0561381467 0.0967170596 -0.00345339603 -0.000682815444 0.022422323 -0.0198217016 -0.0420159847 -0.00943904091 0.0352239832 0.0161531065 -0.00676560821 -0.0207120199 -0.0221104305 0.00275805802 -0.0103395246 0.000668171677 0.00186839257 -0.0341118872 -0.000470017112 -0.000565005757 -0.0594808757 0.00326158898 0.137262911 -8.17684631e-05 -0.0133973081 -0.0224695522 -0.0294275042 -0.264508098 -0.0075496342 0.00291083986 -0.0252052993 -0.01143084 -0.0872342438 -0.0243226513 -0.000317168684 -0.0317622684 0.0451676883 -0.00856259186 -0.00130578643 -0.0173619259 -0.0121188611 -0.0183393639 -0.00522443373 -0.00208721473 -0.0125079602 0.0334470533 -0.355725437 0.0299591012 0.0669860542 -0.0160434581 -0.00681983912 0.00921571814 -0.00300345337 0.0281847958 -0.0285044145 -0.0015194912 -0.0267127026 -0.0294619929 0.00840250682 0.0240761656 0.0175146218 -0.0231702812 0.0190019533
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
2015-11-06 14:43:05 +13:00
6
finput
4
51
3
V 1
16
torch.CudaTensor
0
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
2015-11-06 14:43:05 +13:00
52
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
64 288
288 1
1
4
2015-11-06 14:43:05 +13:00
53
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
18432
0.0564050972 -0.0773788095 0.00637216493 -0.019814482 0.0142502533 0.0584152937 -0.0367284641 0.0637681782 0.0482507311 0.00910549238 -0.00286008581 -0.0227778032 -0.0161783323 0.0299790129 0.0271177143 -0.0142509863 0.0377554558 -0.0295014847 0.00202290225 0.079600513 -0.0443153009 0.0175395366 0.0250318125 0.0207369719 -0.0363248475 -0.0437827744 -0.0296536367 0.0358131006 0.0471204743 0.0139918365 0.0146160461 -0.0374575853 -0.0395605229 0.0392722264 -0.0099068312 -0.036817275 -0.0303947534 0.0353759155 -0.0548360683 0.0339129269 0.0847444162 -0.00536282733 0.0175654329 0.0271131098 -0.114532463 0.0850019231 0.0800910592 0.00126945192 0.101324908 0.133785039 0.0260082837 0.0430755839 0.0383262001 0.0892679691 0.0779007301 0.111366913 0.111137979 0.0382239297 -0.020907687 0.0731689632 0.0763614476 0.0387765467 0.053880699 0.0305463206 0.0480250828 -0.104553998 0.0289847087 0.0424743183 0.0704117566 -0.0372559391 0.0246864557 0.0169138107 -0.0485665575 -0.0293197893 -0.00285222381 0.0646726713 0.0212550238 -0.00714694941 0.0267472696 -0.0341845974 -0.00326287397 0.0196735673 -0.0261568278 -0.0267312918 0.063945815 0.0439746678 0.00726863788 -0.0215486381 0.0207899641 -0.020061817 0.019262135 -0.08305154 -0.0964771211 0.0131845204 0.103724197 0.000439017691 -0.0143249435 0.0993293598 -0.0134861376 -0.0529067665 -0.157390997 -0.119300984 -0.0894730315 -0.151187032 -0.135784835 -0.100604326 -0.0736710727 -0.148525909 1.3780691e-06 -0.00167375919 -0.037796665 -0.0244230796 -0.00804188754 0.0316690728 -0.0493694656 -0.00221807114 -0.0470846891 0.00472415611 -0.0886246935 0.0326583944 -0.0176302921 -0.056535583 0.17753084 0.0490330756 -0.0358931199 0.018115595 0.0143953459 -0.0172248427 0.0235930365 -0.0219757501 0.0191822052 -0.00790034514 -0.0509087816 0.0245785564 0.0206436515 -0.0236047953 -0.00723839505 -0.0246137846 0.00896553509 0.0204238966 0.0400045179 -0.026125906 0.00508347852 0.0193764325 0.0349663049 0.0836958662 0.00250000972 0.00314196735 -0.00993272662 -0.0530009195 -0.0143300211 -0.0317047872 -0.0337309949 0.0377723984 0.0204824694 -0.0127971582 0.100233473 0.0288186818 -0.0517833754 -0.0846409649 -0.0119217793 -0.0366613977 0.00521599036 -0.0313386582 -0.0014876636 0.0283380095 0.0679423288 -0.0741038918 -0.00404252578 0.0466994308 -0.0317946188 0.0537461005 0.0222330596 -0.036914371 -0.00719332835 -0.0650015771 0.0597601794 0.0561968461 -0.00861838087 0.00440765591 -0.0435597897 0.0777478069 -0.00143458613 -0.00256279693 -0.00978421327 -0.0185276438 -0.0314681046 -0.0749919936 0.113679007 -0.102922387 -0.12930581 -0.0165763739 -0.0215440039 0.105552711 0.0555653982 0.017324619 0.0471161045 0.00789447222 -0.0264059231 0.0160307959 0.0145290969 0.0106434608 -0.0581050664 0.013811308 -0.0063222521 -0.0152711552 0.0664519742 0.0382985175 0.00237315311 0.00783558656 0.0384870134 -0.037996579 0.0182565767 -0.00916451123 -0.0666873083 0.0351577289 -0.0767646357 -0.063652806 -0.152163818 -0.0281558856 -0.114923686 -0.0927642658 -0.096053727 -0.0133582968 -0.0640932024 -0.125053316 -0.128033653 -0.10205631 -0.165022448 -0.173352823 -0.174982131 -0.176119372 -0.136510789 -0.0950037092 0.0930922925 -0.0250081383 -0.0150608011 0.0717139468 -0.00508612487 -0.0304896552 0.0620469265 -0.0307373591 -0.11714007 0.00991589762 -0.0323725864 0.0390815102 -0.00404000981 -0.00449136039 0.00525419414 0.0134137366 -0.045601517 0.0111716902 0.00124742324 -0.0130824735 0.00663023209 -0.0529423989 0.0320669375 0.00599211594 0.0464562848 -0.0544334911 0.00108412339 -0.0226502698 -0.00643309439 0.0224047881 -0.022672696 0.0297606122 0.0130650466 -0.0477915183 -0.00233175489 0.0625100657 -0.00201367284 0.0141469594 0.0540650561 0.0341888592 0.0537490137 -0.0323766954 0.0544934422 0.0330540948 0.04984295 0.00113807933 -0.0053101494 0.0336079672 -0.0375761688 0.0247833841 0.0188833568 -0.0731321424 -0.00362036494 0.015339409 0.276692927 0.0638729334 0.0707183033 -0.167234689 -0.103090808 -0.172323346 0.033245001 0.0976454616 0.0633441582 -0.0887229368 -0.0508437678 -0.119053543 -0.0885450915 0.0434762165 -0.00131385669 -0.0452216938 0.06
2
5
train
5
0
2
2015-11-06 14:43:05 +13:00
10
gradWeight
4
2015-11-06 14:43:05 +13:00
54
3
V 1
16
torch.CudaTensor
2
64 288
288 1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
55
3
V 1
17
torch.CudaStorage
18432
-0 -0 0 -0 0 0 0 0 -0 -0 0 0 0 0 0 0 0 -0 0 -0 -0 0 -0 -0 -0 -0 -0 0 -0 -0 0 0 0 0 0 -0 0 0 0 -0 0 -0 -0 -0 -0 0 0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 0 -0 -0 0 0 0 0 0 0 -0 -0 -0 -0 0 -0 0 0 -0 0 0 -0 -0 0 0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 0 -0 0 0 0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 -0 0 0 -0 -0 -0 0 0 0 -0 0 0 0 0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 0 -0 0 0 0 -0 0 -0 -0 -0 -0 0 -0 -0 0 0 0 -0 0 0 0 -0 0 0 0 0 0 0 0 0 0 0 -0 0 0 0 -0 0 0 0 0 0 0 -0 -0 0 0 0 -0 0 -0 0 0 0 -0 0 0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 -0 -0 -0 -0 0 0 0 0 -0 0 0 -0 -0 -0 0 -0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 -0 0 -0 -0 -0 -0 -0 0 0 -0 0 0 -0 -0 0 0 -0 0 -0 0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 -0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 1.40129846e-45 -0 0 0 0 -0 0 0 0 -0 -0 0 -0 -0 -0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 0 0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 0 -0 0 -0 -0 -0 -0 0 -0 0 -0 -0 -0 -0 -0 0 -0 0 0 0 -0 0 -0 0 0 0 0 0 0 0 0 1.40129846e-45 0 0 1.40129846e-45 -0 -0 -0 -0 -0 0 -0 -0 -0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 -0 0 0 0 -0 -0 0 -0 0 0 0 -0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 -0 -0 -0 0 0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 -0 -0 -0 0 0 0 0 0 -0 0 0 0 -0 0 0 -0 -0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 0 -0 -0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 0 0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 0 0 0 0 0 0 0 0 0 -0 0 0 -0 0 -0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 0 0 0 1.83570099e-43 5.7453237e-44 3.50324616e-44 6.58610278e-44 1.23314265e-43 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 5.60519386e-45 7.00649232e-45 8.40779079e-45 9.80908925e-45 4.20389539e-45 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 -0 0 -0 -0 3.37483924e-37 2.46656556e-37 2.39051608e-37 2.65252347e-37 2.76841735e-37 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 -0 1.3242122e-38 6.13141646e-39 3.40448825e-39 5.99213861e-39 1.10132432e-38 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 0 -0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 0 0 0 -0 0 0 -0 -0 0 -0 -0 -0 0 0 0 0 0 -0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 0 -0 0 -0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 0 -0 0 -0 0 0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 0 0 0 -0 0 0 0 0 -0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 0 0 0 -0 -0 0 -0 1.03696086e-43 1.26116862e-43 8.96831017e-44 3.9236357e-44 2.48029828e-43 -0 -0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 0 0 -0 -0 -0 0 -0 0 0 -0 0 0 0 -0 -0 -0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 0 -0 -0 0 0 0 0 -0 -0 -0 0 -0 0 -0 -0 -0 -0 -0 0 -0 0 0 0 0 0 5.60519386e-44 -0 -0 -0 -0 -0 0 0 0 -0 0 0 0 0 0 0 0 0 0 0 -0 0 0 -0 0 -0 -0 -0 -0 0 -0 -0 0 0 0 0 0 -0 0 -0 -0 -0 0 -0 0 0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 0 -0 0 -0 -0 0 0 0 -0 0 0 -0 -0 -0 0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 -0 0 0 0 0 0 0 -0 -0 0 -0 0 -0 0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 -0 0 -0 -0 0 -0 -
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
56
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
4
padH
1
0
2015-11-06 14:43:05 +13:00
2
2
dH
1
1
2
2
kW
1
3
1
6
4
2015-11-06 14:43:05 +13:00
57
3
V 1
2015-11-06 14:43:05 +13:00
14
w2nn.LeakyReLU
3
2015-11-06 14:43:05 +13:00
58
5
2
5
train
5
2015-11-06 14:43:05 +13:00
0
2
8
negative
4
2015-11-06 14:43:05 +13:00
59
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
60
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
61
3
V 1
16
torch.CudaTensor
0
1
0
2015-11-06 14:43:05 +13:00
2
14
negative_scale
1
0.10000000000000001
1
7
4
2015-11-06 14:43:05 +13:00
62
3
V 1
23
nn.SpatialConvolutionMM
3
2015-11-06 14:43:05 +13:00
63
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
11
nInputPlane
1
2015-11-06 14:43:05 +13:00
64
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
64
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
65
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
2015-11-06 14:43:05 +13:00
66
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
1
64
1
1
4
2015-11-06 14:43:05 +13:00
67
3
V 1
2015-11-06 14:43:05 +13:00
17
torch.CudaStorage
64
0 0 0 0 0 0 0 -0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
64
2
4
2015-11-06 14:43:05 +13:00
bias
4
68
3
V 1
16
torch.CudaTensor
1
64
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
69
3
V 1
17
torch.CudaStorage
64
-0.0219522938 -0.0101609845 -0.0301911738 -0.226810426 -0.0113016637 -0.0240891762 -0.0248053446 -0.0104745701 -0.0123981191 -0.0158518516 0.000347541267 -0.0236313399 -0.0280545466 -0.116031788 0.018404685 -0.034870103 -0.0238716807 -0.00161493989 -0.0350279808 0.0106537621 -0.0392968655 -0.159660533 -0.04003869 -0.0132185286 -0.0025176683 0.0201289337 -0.0183380414 0.00542655447 -0.123728864 -0.0311874319 0.00337279309 -0.0349095426 -0.0398343503 0.010417656 -0.0203107521 0.000212888292 -0.0253314264 -0.029991312 -0.00472767605 -0.014094336 -0.012447698 0.0151380356 -0.150662586 -0.0239588507 -0.0180638079 -0.0208156537 -0.00730675505 0.00459166523 -0.0115116853 0.0111791091 -0.0390259624 -0.0755585209 -0.0587747954 -0.0186024103 0.0138185155 -0.0469281264 -0.0981457606 -0.000559010135 -0.0608968139 0.0132713756 -0.000996407121 -0.0481430478 -0.0288178064 -0.0311612301
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
2015-11-06 14:43:05 +13:00
6
finput
4
70
3
V 1
16
torch.CudaTensor
0
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
2015-11-06 14:43:05 +13:00
71
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
64 576
576 1
1
4
2015-11-06 14:43:05 +13:00
72
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
36864
0.00428566942 -0.0206076372 0.0667266697 0.0306875687 0.00456223497 -0.0250598416 -0.00144711626 -0.0528139025 -0.00309222843 -0.17372483 -0.0421723165 0.0123829674 -0.0291055888 -0.0607767291 -0.125855535 -0.0123884296 -0.0291725304 -0.193938956 -0.026856048 0.0241090357 0.00738623831 -0.0204921551 0.0527545884 0.0148474481 0.0289192013 0.00065157091 -0.0496180952 -0.0230348874 0.148978084 -0.0373712592 0.0430313796 -0.0109039098 0.0261212029 0.00825914554 0.00442275451 -0.310714841 0.218429789 0.046237085 -0.0144805098 0.0220857151 -0.0113644842 -0.0326040722 -0.0188357811 -0.0329856239 0.016832944 0.0455194563 -0.0117856367 0.0964091569 0.0420083962 0.0516072251 0.00343565713 0.0722905174 -0.0323002301 -0.126904532 0.229880959 -0.0680199638 -0.0063821855 0.00754328817 -0.0929346755 -0.0563223772 -0.178892627 0.066823557 0.0406730473 -0.000383258186 -0.204460293 0.124447905 0.00548234163 -0.172367424 0.0135843679 -0.0772450566 -0.298105687 -0.0736719742 -0.0130028939 0.0665693283 -0.0140323164 0.0382483415 0.0633319542 0.0382362902 -0.0560574159 -0.0790333301 -0.0237154607 -0.0343822874 0.126031712 -0.0584692284 -0.000710556225 0.0137940757 -0.0781153888 -0.0908192918 -0.00441002427 -0.178823858 0.134337306 0.147322565 0.0640557557 0.006645591 0.10655009 0.00372755644 -0.0448822491 0.0588652752 0.00979959406 0.0812836811 -0.0682483763 -0.184066251 0.100025557 -0.0660100505 -0.18943572 -0.0408619121 -0.0438337773 -0.241127923 -0.0712652504 -0.00946300104 0.0997707248 -0.0735150203 0.0329804309 -0.102435753 -0.0427805185 -0.113005124 0.00764950784 -0.0359844044 -0.222997651 -0.11444813 0.126481012 0.0622628182 0.0713351667 -0.0650417656 0.0235808585 -0.229040265 0.00840828009 0.134259745 0.0666699186 0.00113097159 -0.0737661719 -0.037163768 0.0218885038 -0.0756392255 -0.0874937475 -0.110610209 -0.124415033 0.110560007 0.0921804756 -0.130037993 -0.00962475874 0.0588012822 -0.059146747 0.0252489205 -0.041987218 0.159325927 -0.0434231572 0.0296852086 0.0329605713 -0.0211948846 -0.0866494775 0.0109665366 -0.0279138256 0.0671341568 0.0883275494 -0.00273091439 0.0774627328 0.0997668058 -0.0380773433 -0.0281538982 0.0103399027 0.110917233 -0.0593735091 -0.0352786854 0.0456179343 -0.100700684 0.110752814 -0.0472334623 0.201806799 0.0325047188 0.282822102 0.0135637494 0.0119593842 0.01290638 -0.00738928979 0.0455950983 -0.0117939701 0.0131087648 0.0122882398 -0.00552068464 0.112167828 0.0618519709 -0.0299501754 0.0478109792 -0.0471620671 0.076952368 -0.114217475 0.0947685987 -0.0585848354 0.0351826139 -0.106399156 -0.121246368 -0.00900277961 -0.00514786132 0.0864769965 0.0585446842 0.0334419534 -0.171068653 -0.0756733194 -0.110344529 0.0526107997 -0.113937378 -0.0664349869 0.121012747 -0.0262148604 -0.0750637054 -0.114350252 0.0159778465 0.0433714055 -0.054218147 0.0251653399 0.0237498265 -0.0420917459 -0.00523295347 0.0180505347 -0.00795717537 0.161065042 0.0291255414 -0.0180595834 0.0748860016 -0.0644724593 0.0455574431 -0.0634148419 -0.0952516124 -0.10669101 0.160355642 0.108110964 0.165354729 0.0262026004 -0.0127190212 -0.0650068596 -0.0159902442 -0.0206238534 -0.0738355443 -0.260152459 0.0498878434 0.0711202696 -0.108030125 0.049599614 0.0362790748 0.00162028824 -0.215554193 -0.0142528918 -0.069997482 0.0367682092 0.0240588021 0.0402488373 -0.00104944617 -0.0451953672 -0.053612642 0.0100858323 -0.0818964243 -0.00723155402 -0.00496730255 0.0891135484 -0.0296005625 0.100037821 0.0361810625 -0.03407868 -0.0418441258 -0.0801146924 0.145627499 0.110369571 0.0493023247 0.0386353694 -0.016216144 -0.0342134163 -0.0440852083 0.0396382548 0.124098286 -0.0448347405 0.136625573 0.163762331 0.0927761272 -0.0756977871 -0.0894117802 -0.106907472 0.124817856 -0.10500972 -0.105283476 0.041709777 0.0172488932 0.0384061821 0.0616204925 -0.022664547 -0.00319810212 0.0817956328 -0.0336810797 0.0193253551 -0.0487979464 -0.00492089661 -0.0153789688 -0.0167232975 0.00478029996 -0.0229979437 -0.0352590866 -0.0594130903 0.20692277 -0.0606776625 0.00882562716 -0.0661220104 0.0486706644 -0.0228047874 -0.168077067 -0.150056154 -0.195989117 0.0616338514
2
5
train
5
0
2
2015-11-06 14:43:05 +13:00
10
gradWeight
4
2015-11-06 14:43:05 +13:00
73
3
V 1
16
torch.CudaTensor
2
64 576
576 1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
74
3
V 1
17
torch.CudaStorage
36864
-0 -0 -0 -0 0 -0 -0 0 0 -4.20389539e-45 -2.52233724e-44 -1.12103877e-43 -4.06376555e-44 -6.72623263e-44 0 0 0 0 -0 0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 0 0 -0 0 0 0 0 0 0 -0 0 0 -0 0 0 0 0 0 -2.02963038e-37 -2.36967462e-37 -1.49443324e-37 -8.63630221e-38 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -8.40779079e-45 -1.40129846e-45 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -1.40129846e-45 -2.80259693e-45 -1.40129846e-45 0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -4.69364921e-40 -5.198495e-40 -5.33978793e-40 -9.15971353e-40 -0 -0 -0 -2.80259693e-45 0 -0 0 0 0 -0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 1.69837374e-42 1.7320049e-42 1.25976732e-42 1.14345955e-42 0 -0 0 0 -0 0 0 0 0 0 0 0 0 0 0 -0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 9.6689594e-44 3.08285662e-44 1.821688e-44 2.38220739e-44 4.90454463e-44 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 -0 -0 0 0 -0 -0 0 0 -0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 -0 0 0 -1.9197789e-43 0 0 -0 -0 2.61622423e-42 1.97162694e-42 2.14118405e-42 2.33876714e-42 1.81328021e-42 1.20511668e-43 1.28919459e-43 9.6689594e-44 7.14662217e-44 0 0 0 0 0 -1.11725527e-41 -1.41727327e-41 -5.69487696e-42 -3.5578968e-42 1.26116862e-44 9.80908925e-45 9.80908925e-45 9.80908925e-45 1.26116862e-44 0 0 0 0 -0 -0 -0 -0 -0 1.57085558e-42 1.67315037e-42 1.48257378e-42 1.59327635e-42 0 0 0 0 0 -0 -0 -0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 0 -0 0 0 -0 0 0 0 1.40129846e-45 0 0 0 0 0 1.05643891e-41 1.09315293e-41 7.43108576e-42 6.70241055e-42 1.40129846e-45 1.40129846e-45 2.80259693e-45 2.80259693e-45 1.40129846e-45 0 0 0 0 -0 -0 0 0 0 0 0 -0 -0 0 0 0 0 1.40129846e-45 0 0 0 0 -0 0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 -0 0 -0 0 0 0 0 0 -0 -0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 -0 0 0 0 0 0 -0 -1.40129846e-45 -1.40129846e-45 -7.00649232e-45 -0 0 0 0 0 0 -0 0 0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 0 0 0 0 0 0 0 1.97583083e-42 2.12997367e-42 1.81047762e-42 1.42371924e-42 0 0 0 0 -0 0 0 0 0 0 0 0 0 0 -0 0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 0 -0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 0 -0 -0 0 0 0 0 0 0 0 -0 -0 0 -0 -0 -0 -0 0 0 -0 -0 -0 0 0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 -0 0 0 -0 -0 -0 -0 -0 5.60519386e-45 8.40779079e-45 1.40129846e-45 1.40129846e-45 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 0 -0 -0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 0 0 0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 -0 0 0 0 0 0 0 0 0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 0 0 -0 0 0 -0 0 -0 -0 -0 -0 -0 0 0 -0 0 0 -0 -0 -0 0 -0 -0 -0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 0 0 -0 0 0 0 -0 -0 0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 0 0 0 0 0 0 -0 -0 -0 0 -0 -0 0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 0 0 0 0 0 0 -0 0 0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 0 -0 0 0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 -0 -0 -0 0 0 0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 -0 -0 -0 0 -0 -0 -0 -0 -0 -0 -0 0 -0 -0 -0 -0 -0 0 -0 -0 0 0 0 0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 0 0 0 0 0 0 0 0 -0 0 0 -0 0 -0 -0 -0 -0 -0 -0 0 0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 -0 0 0 0 0 -0 -0 0 0 0 0 0 0 0 -0 -0 -0 -0 0 -0 -0 -0 -0 0 0 0 0 -0 0 0 -0 -0 -0 -0 -0 -0
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
75
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
4
padH
1
0
2015-11-06 14:43:05 +13:00
2
2
dH
1
1
2
2
kW
1
3
1
8
4
2015-11-06 14:43:05 +13:00
76
3
V 1
2015-11-06 14:43:05 +13:00
14
w2nn.LeakyReLU
3
2015-11-06 14:43:05 +13:00
77
5
2
5
train
5
2015-11-06 14:43:05 +13:00
0
2
8
negative
4
2015-11-06 14:43:05 +13:00
78
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
79
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
80
3
V 1
16
torch.CudaTensor
0
1
0
2015-11-06 14:43:05 +13:00
2
14
negative_scale
1
0.10000000000000001
1
9
4
2015-11-06 14:43:05 +13:00
81
3
V 1
23
nn.SpatialConvolutionMM
3
2015-11-06 14:43:05 +13:00
82
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
11
nInputPlane
1
2015-11-06 14:43:05 +13:00
64
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
83
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
84
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
2015-11-06 14:43:05 +13:00
85
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
1
128
1
1
4
2015-11-06 14:43:05 +13:00
86
3
V 1
2015-11-06 14:43:05 +13:00
17
torch.CudaStorage
128
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
2015-11-06 14:43:05 +13:00
128
2
4
2015-11-06 14:43:05 +13:00
bias
4
87
3
V 1
16
torch.CudaTensor
1
128
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
88
3
V 1
17
torch.CudaStorage
128
-0.0212297011 -0.0238622464 -0.0261529665 -0.0356596895 -0.0105454614 -0.0166186094 -0.0315006487 -0.100318052 -0.0293362103 -0.0258543454 -0.00590202399 -0.119682245 -0.016182011 -0.0152914049 -0.0167474635 -0.0576779433 -0.0459907278 -0.0283015911 -0.0249012019 -0.0733322427 0.0763908923 -0.0366611481 -0.0446597561 -0.00764800608 -0.0291710794 -0.0323040001 -0.0177614558 -0.0309161935 -0.0109103965 -0.0171335358 -0.0389398746 -0.0582273789 -0.0612463057 -0.0314298235 -0.0214405973 -0.0279567596 -0.017884599 -0.0458104685 -0.0446169227 -0.031422656 -0.03394036 -0.0224007722 0.0678422749 -0.0212000422 -0.00583573617 -0.0175565481 -0.0532150269 -0.0326673537 -0.109142974 -0.0271198265 -0.0278950464 -0.0187387671 -0.0259688888 -0.0222780537 -0.0427920334 -0.0401045121 -0.0234879423 -0.0347896293 -0.0187933743 -0.158781528 -0.0409544148 -0.102597974 -0.0518893562 -0.0224593431 -0.0262969695 -0.0386307016 -0.0311145056 -0.0151195051 -0.0266218353 -0.0345673673 -0.0261592064 -0.0530741401 -0.195663437 -0.185216472 0.0155723998 -0.162472963 -0.0233190712 -0.02686272 0.00867663696 -0.000369295245 -0.0329323187 -0.0148758348 -0.0167127755 -0.00300614722 0.00869849883 -0.0274735857 -0.131502151 -0.0322872549 -0.0648281649 -0.276490897 -0.0194788724 -0.0538357943 -0.0349797532 -0.00591332139 -0.00848189089 -0.0364312865 -0.0292385723 -0.0552546121 -0.0522816032 0.070205532 -0.0346177332 -0.0430536792 -0.0126406457 -0.0363763645 -0.0298874807 -0.0288267061 -0.0313570537 -0.0241989885 -0.0220497493 -0.030257253 -0.0163568947 -0.0100543182 -0.0256612878 -0.0178744905 -0.0525284447 -0.0193227474 -0.010129354 -0.0455130562 -0.00911426079 -0.0168044847 -0.255654752 -0.00952304062 -0.0095460657 -0.0456640944 -0.0245807189 -0.00694822194 -0.0270840637 -0.0188376084
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
2015-11-06 14:43:05 +13:00
6
finput
4
89
3
V 1
16
torch.CudaTensor
0
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
2015-11-06 14:43:05 +13:00
90
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
128 576
576 1
1
4
2015-11-06 14:43:05 +13:00
91
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
73728
0.00223829318 0.0603377223 -0.0412397012 0.0206746086 0.00615235744 -0.000227863406 -0.0105227064 0.0635219216 -0.006881373 -0.0161641743 -0.0428137183 -0.0447994098 -0.0421485789 -0.0132532306 0.0752650201 0.0292850435 0.0272098407 -0.0252194908 -0.0702034757 -0.0375466272 0.000501437171 -0.0447571576 0.00156684592 0.0187310893 0.00559188006 -0.0617374629 -0.0138817346 0.0150989955 0.00455874018 0.037014015 0.0264717992 -0.0318428688 -0.00466022873 -0.0956285149 -0.040894568 -0.0758743659 0.0692757666 -0.00920092035 -0.0748842135 0.0552468374 0.024685191 -0.0222419612 -0.105894618 0.04155083 0.0829258263 -0.0410050005 -0.0703854412 0.0114439232 -0.000184354314 -0.0130611993 0.0243671909 0.0855666101 0.0462739244 -0.0171218552 0.0768480897 0.0737203956 -0.0625969693 0.0182865057 0.0469252542 0.0731373057 -0.0146417841 -0.00115088385 -0.0610235818 -0.0133140059 0.0367696099 0.00705616642 -0.0123827858 0.00851136167 -0.0623474643 0.0277733374 0.0416189469 0.01727519 0.0661719888 0.127171874 0.0614557825 -0.0167369209 -0.0745694786 0.0371020585 0.0260935165 -0.0285301134 0.0341124795 -0.235779479 -0.0238155667 0.143934965 0.111820228 -0.020060122 -0.0331005342 -0.208761886 -0.136124223 -0.0166285373 0.00208105613 0.0302928351 0.0170570575 -0.0345475599 0.0451152995 0.00811106432 -0.0165457167 0.0191142615 -0.0150824906 -0.0295354649 0.021270344 -0.0743966922 -0.00600061147 0.0922289416 -0.0232644323 0.00810436066 0.0241002925 0.071494408 0.0505785532 -0.0126436297 0.095522292 -0.0211981069 -0.0924440846 -0.00991259422 -0.00781373214 -0.0790956467 -0.0437112898 0.0553711466 -0.0173843279 0.0871985629 -0.026688898 0.0712058097 0.118578553 -0.0127393194 0.126023769 0.184736162 0.00461514853 0.123061836 0.109544687 0.115869261 0.0808772519 -0.0365423225 0.0305508412 -0.0247827955 -0.114283621 0.0250830669 -0.0141902836 0.0518542826 -0.0909382775 0.086860165 -0.115452588 0.0306326486 -0.0393373072 -0.016150225 0.0498600565 -0.105803162 -0.0424616002 -0.0203093328 0.183061942 0.0872806683 0.0221662316 -0.0406508707 0.09372098 0.115983099 0.056787014 0.120011173 -0.00674086995 0.0715474784 -0.0326277427 -0.12500526 -0.0883356482 -0.136200547 -0.0676432699 -0.0103961723 -0.0595509447 -0.0706194267 0.0286525488 -0.00573402131 0.045996435 -0.0112798 -0.145024464 0.0465522259 0.0691251233 0.112770081 -0.116042398 -0.013012521 -0.173297837 0.03467438 0.0601455607 0.0954878107 0.101571292 0.0652323142 9.24762717e-05 -0.0421815999 -0.00396372704 0.0743587166 0.0719134435 0.0149839018 -0.0756656229 -0.0629053712 -0.0781917199 0.0323952958 0.00116961345 -0.0134171862 -0.0267433934 -0.0256458856 0.0090314243 -0.00367832603 -0.0433463901 0.113176845 0.0163375139 -0.0515824668 -0.183824942 -0.079585813 0.0427214354 -0.0838812888 -0.0959369987 0.0013218635 -0.011901631 -0.0638623834 -0.100801013 0.0431626923 0.0434668809 0.0312498733 -0.0307584256 0.0055117365 0.0530963726 0.0246061645 0.0634830669 0.0528201833 0.100384861 -0.054009892 -0.152147725 0.0163632911 0.0288490579 0.0791440234 0.13289997 0.116336651 -0.0387445651 -0.103997953 0.00748322811 -0.0470316783 -0.0830174983 -0.0752129406 -0.0603623204 -0.0479859561 0.0292411447 0.0754223764 0.0330937952 0.0142311743 -0.0660898164 -0.103125073 -0.0180854239 0.023394607 -0.0226336271 -0.138933778 -0.00808373652 0.0576051213 -0.0266124234 -0.00977094844 0.0398971662 -0.0606846213 0.108577587 0.0869684592 0.0922608823 0.023085678 -0.0693108067 -0.064708963 0.0376870632 0.0182939842 -0.0517868809 0.0438119285 0.0199921522 -0.0372169837 -0.0785644203 -0.0952609628 0.00340815447 -0.087189354 0.040228866 -0.00922977831 0.0402582772 -0.162780181 0.00114618894 0.0957005695 0.103821322 -0.062149141 -0.0560872369 0.100243032 0.0998954326 -0.0959063619 -0.0669836923 -0.119704559 -0.0440243147 -0.0759242401 -0.0976009667 -0.127089456 -0.0891777799 -0.195206985 0.0268403366 -0.105220929 -0.0654398203 -0.0136148129 0.0731989443 -0.0156570692 -0.0642602444 -0.0432252809 -0.0397271849 0.047226578 0.0114869205 -0.00750874029 -0.0758668706 -0.0581900254 0.0885718912 0.0464164168 -0.0179473776 0.00380343501 -0
2
5
train
5
0
2
2015-11-06 14:43:05 +13:00
10
gradWeight
4
2015-11-06 14:43:05 +13:00
92
3
V 1
16
torch.CudaTensor
2
128 576
576 1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
93
3
V 1
17
torch.CudaStorage
73728
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
94
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
4
padH
1
0
2015-11-06 14:43:05 +13:00
2
2
dH
1
1
2
2
kW
1
3
1
10
4
2015-11-06 14:43:05 +13:00
95
3
V 1
2015-11-06 14:43:05 +13:00
14
w2nn.LeakyReLU
3
2015-11-06 14:43:05 +13:00
96
5
2
2015-11-06 14:43:05 +13:00
5
train
5
0
2
8
negative
4
2015-11-06 14:43:05 +13:00
97
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
98
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
99
3
V 1
16
torch.CudaTensor
0
1
0
2015-11-06 14:43:05 +13:00
2
14
negative_scale
1
0.10000000000000001
1
11
4
2015-11-06 14:43:05 +13:00
100
3
V 1
23
nn.SpatialConvolutionMM
3
2015-11-06 14:43:05 +13:00
101
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
11
nInputPlane
1
2015-11-06 14:43:05 +13:00
128
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
102
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
103
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
2015-11-06 14:43:05 +13:00
104
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
1
128
1
1
4
2015-11-06 14:43:05 +13:00
105
3
V 1
2015-11-06 14:43:05 +13:00
17
torch.CudaStorage
128
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
128
2
4
2015-11-06 14:43:05 +13:00
bias
4
106
3
V 1
16
torch.CudaTensor
1
128
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
107
3
V 1
17
torch.CudaStorage
128
-0.0623817481 -0.0273041762 -0.0285888445 -0.0377374478 -0.0368429534 -0.0428802967 -0.0486591756 -0.0369470157 -0.0538868532 -0.144763589 -0.043692112 -0.0593942329 0.186846837 -0.0252900813 -0.0528029352 -0.0547948107 -0.0609878115 -0.0509248674 -0.0592153259 -0.0207323581 -0.0388351828 -0.0371614955 -0.0340461396 -0.00884082075 -0.0449069627 -0.0431491695 -0.0359467641 -0.0432839543 -0.0294492971 -0.0730678588 -0.0397148952 -0.0382245481 -0.0293667186 -0.0563893802 -0.0323472433 -0.0503303073 -0.045572482 -0.0282720774 -0.0103548234 -0.0318174511 -0.0345936604 -0.0159945842 -0.0337621495 -0.0246810745 -0.0429683588 -0.0136160254 -0.0648722947 -0.0226346888 -0.0259122793 -0.110423155 -0.0496876836 -0.0471981131 -0.0398815498 -0.00797626842 -0.0456468835 0.0814626515 -0.0331030674 -0.0654005334 -0.0275710858 -0.0532232895 -0.0587181598 -0.0833294094 -0.0315394662 -0.0621704422 -0.0667754486 -0.0495885238 -0.024996331 -0.0401783325 -0.0250299126 -0.0147954803 -0.0702389926 -0.0491093881 -0.0659107789 -5.19093737e-05 -0.0700695813 -0.0377122723 -0.013851719 -0.042181287 -0.0684763566 -0.101853251 -0.06053463 -0.0699862987 -0.0213443153 -0.0930199251 -0.034449663 -0.0646462068 -0.0413334556 -0.0578712076 -0.0405761935 -0.0454505421 -0.0474848337 -0.0396157615 -0.0586198047 -0.0466752611 -0.0413960405 -0.0780356005 -0.0397828743 -0.00692379661 -0.0661333501 -0.0475775599 -0.048096519 -0.0241103936 -0.0393950567 -0.0144569995 -0.0358600169 -0.0276988633 -0.0523638576 -0.0457806624 -0.0899185315 -0.0399712808 -0.0692682043 -0.0374364592 -0.0532766432 -0.0385163873 -0.0521838218 0.165182605 -0.0500258766 -0.0575502031 -0.0345562808 -0.0704202801 0.143164098 -0.0311677475 -0.0280611776 -0.0252316874 -0.0289008282 -0.0413214266 -0.019927362 -0.030999491
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
6
finput
4
108
3
V 1
16
torch.CudaTensor
0
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
109
3
V 1
16
torch.CudaTensor
2
128 1152
1152 1
1
2015-11-06 14:43:05 +13:00
4
110
3
V 1
17
torch.CudaStorage
147456
0.0609531924 -0.122231692 -0.0679205284 0.0953823924 -0.0680980533 -0.00403388822 0.00708080968 0.0109883249 -0.0549999587 -0.0757364854 0.126604155 0.183556542 0.047932677 -0.028330775 -0.0953035131 -0.0545124747 -0.0825118944 0.00562709151 -0.0555621497 0.00027680787 -0.162657246 0.0521071479 0.000988610089 -0.124742545 0.0534881018 -0.0727510154 -0.0150945252 -0.0896380842 -0.0238037854 -0.0914084613 -0.0890294611 -0.0235482529 0.0896601155 0.0140222535 0.126947641 0.103217997 0.0650280416 0.166172683 0.0651791096 -0.104969069 -0.0779661536 0.103008501 -0.138585642 -0.0739601105 0.0938021615 -0.0910713151 -0.0846607983 -0.0747267976 -0.0216935128 -0.060836181 0.0619435273 0.0285995714 -0.19036673 0.0251044687 0.0255945586 0.0719569549 0.00495723449 0.0316380188 0.04402766 -0.090311788 -0.0159767065 -0.0459341593 -0.0242186189 -0.0232195295 -0.0109195439 -0.0102981208 -0.015571259 0.0417209975 -0.0160196163 0.0077151549 0.074769631 -0.0372554921 0.0169983003 0.0113765709 -0.123885013 0.104562894 0.151481375 -0.024552919 -0.111412726 -0.0785141364 0.0414863639 0.0199836791 -0.0161753856 -0.0271402169 -0.0388941467 -0.0944453776 0.0112671359 0.0254633874 0.0162578672 0.0675675273 -0.0473133363 -0.14631322 -0.0670511946 -0.025019886 -0.0236356184 -0.00118994073 -0.0233923495 -0.0276453737 0.0726362541 0.113820545 -0.131264269 0.104313113 0.020351477 0.0842002705 -0.113629922 0.0356304757 0.0081723677 0.0692807287 0.0912045538 -0.0617740564 -0.00555526186 -0.0226879306 0.0505497567 0.0983928815 -0.134016588 -0.139551923 0.176440313 0.0824086815 0.0778003857 -0.0775417611 -0.0106709553 0.110005997 -0.0790310577 0.0765426829 -0.0402774923 -0.016648028 0.0642695501 0.111728676 0.0622195192 -0.0992696509 -0.0579590946 -0.0227738917 -0.147512957 -0.0276947487 0.0341563784 0.0282627512 0.098688744 -0.0247819871 -0.111543812 -0.110006981 -0.0650610998 0.0356090218 -0.0397108421 -0.0446255952 -0.0884170681 -0.00192472234 -0.0184599757 -0.0289036222 -0.093959637 -0.103537217 -0.0395091958 -0.0154430354 -0.028573554 0.0320384689 0.054503642 -0.131314069 0.01806923 0.0513693579 0.0213271398 -0.0311210304 -0.109736174 -0.127476051 0.0645823851 0.00554159796 -0.156044081 -0.0194986593 -0.0577791892 0.0180774145 0.111722179 0.128575265 -0.0255789533 -0.00522336084 0.121763408 -0.0728939623 -0.0460436083 0.0137231154 0.12059778 -0.0388872214 -0.00420859875 -0.0637060255 -0.0185519196 0.0272432417 0.006568857 0.00343683455 -0.0253131129 0.0269114468 -0.0103346352 -0.0121969394 0.0277637709 -0.0639850199 -0.0972043499 -0.111706614 0.239965707 0.121333458 -0.144931406 -0.0484011918 -0.00673835073 -0.022443777 -0.0313316137 0.105024762 -0.00619777665 0.0166151654 0.0106827402 0.0795486346 -0.11937689 -0.0262156483 0.0829025134 -0.0600651354 0.150693238 -0.112855181 0.0620238818 -0.0699790344 -0.0394236259 -0.0980871692 -0.108097948 -0.196721941 -0.148451909 -0.0909830779 -0.0574645586 -0.116143703 -0.0838794559 0.054155618 -0.0895084441 0.111219682 -0.0675968379 -0.130601943 0.0847033933 -0.0229803398 -0.146757483 0.0905536488 -0.0311784055 -0.0677296147 0.031792827 -0.05953319 -0.152450979 -0.0159271657 -0.105704449 -0.0109606162 -0.127494782 0.121155068 0.0632354617 -0.0868333504 0.127831757 0.0267384481 -0.0735308677 -0.0185348913 0.104501717 -0.0546642505 0.201561213 0.0107381288 -0.0336624719 -0.0271785334 0.0504435897 -0.00509336451 0.0682107657 0.0918699428 -0.082335569 -0.222242251 -0.100738131 -0.233975023 -0.130577117 0.0295306575 0.00432638265 0.0109756952 -0.0295573547 0.0665848479 -0.051541701 0.0503703505 -0.0565156154 -0.0333064198 0.0303394571 0.00762062334 0.239569187 -0.0688232556 -0.0240802132 -0.040353328 -0.0270173382 -0.240152746 -0.0739225298 -0.129356384 0.0297975577 0.159240276 0.0537926033 -0.0594815388 0.0694356635 0.00113139499 -0.127204344 -0.035234414 -0.0844622478 0.0587437749 -0.161721081 -0.209303916 0.0818757638 -0.0576696657 -0.0258726496 -0.123148084 -0.0191266369 0.0139466431 0.0105056576 0.0649416223 0.0900095031 -0.115503363 -0.00618696352 0.0735814571 0.0295632724 0.0184695832 -0.0522939749 -0.0049550
2
5
train
5
0
2
10
2015-11-06 14:43:05 +13:00
gradWeight
4
2015-11-06 14:43:05 +13:00
111
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
128 1152
1152 1
1
4
2015-11-06 14:43:05 +13:00
112
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
147456
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
2015-11-06 14:43:05 +13:00
113
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
0
1
0
2
4
2015-11-06 14:43:05 +13:00
padH
1
0
2
2
2015-11-06 14:43:05 +13:00
dH
1
1
2
2015-11-06 14:43:05 +13:00
2
kW
1
2015-11-06 14:43:05 +13:00
3
1
12
4
2015-11-06 14:43:05 +13:00
114
3
V 1
2015-11-06 14:43:05 +13:00
14
w2nn.LeakyReLU
3
2015-11-06 14:43:05 +13:00
115
5
2
5
train
5
2015-11-06 14:43:05 +13:00
0
2
8
negative
4
2015-11-06 14:43:05 +13:00
116
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
117
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
118
3
V 1
16
torch.CudaTensor
0
1
0
2015-11-06 14:43:05 +13:00
2
14
negative_scale
1
0.10000000000000001
1
13
4
2015-11-06 14:43:05 +13:00
119
3
V 1
23
nn.SpatialConvolutionMM
3
2015-11-06 14:43:05 +13:00
120
17
2
4
2015-11-06 14:43:05 +13:00
padW
1
2015-11-06 14:43:05 +13:00
0
2
2015-11-06 14:43:05 +13:00
11
nInputPlane
1
2015-11-06 14:43:05 +13:00
128
2
2015-11-06 14:43:05 +13:00
6
output
4
2015-11-06 14:43:05 +13:00
121
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
9
gradInput
4
2015-11-06 14:43:05 +13:00
122
3
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
8
gradBias
4
2015-11-06 14:43:05 +13:00
123
3
V 1
16
torch.CudaTensor
2015-11-06 14:43:05 +13:00
1
3
1
1
4
2015-11-06 14:43:05 +13:00
124
3
V 1
2015-11-06 14:43:05 +13:00
17
torch.CudaStorage
3
0 0 0
2
2
2015-11-06 14:43:05 +13:00
dW
1
1
2
2015-11-06 14:43:05 +13:00
12
nOutputPlane
1
2015-11-06 14:43:05 +13:00
3
2
4
2015-11-06 14:43:05 +13:00
bias
4
125
3
V 1
16
torch.CudaTensor
1
3
1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
126
3
V 1
17
torch.CudaStorage
3
0.0565092638 0.0639451519 0.0314315446
2
2
2015-11-06 14:43:05 +13:00
kH
1
2015-11-06 14:43:05 +13:00
3
2
2015-11-06 14:43:05 +13:00
6
finput
4
127
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
2015-11-06 14:43:05 +13:00
6
weight
4
2015-11-06 14:43:05 +13:00
128
3
V 1
16
torch.CudaTensor
2
2015-11-06 14:43:05 +13:00
3 1152
1152 1
1
4
2015-11-06 14:43:05 +13:00
129
3
V 1
17
torch.CudaStorage
2015-11-06 14:43:05 +13:00
3456
0.00921274535 0.000722386991 -0.0484095477 -0.00212878524 -0.00679056533 0.0177406203 0.004403973 0.00802480523 0.0120826215 -0.0151353255 0.0133825308 -0.00140227063 0.0350781828 -0.0298435185 -0.00101609563 0.00178627204 -0.0111660976 -0.00776999956 -0.0273200348 -0.0414630324 -0.0176719408 0.0101421084 -0.00114210078 0.00172190426 0.0488743261 0.0359976515 0.011511961 0.0271575898 0.00204619416 0.00326904235 0.00814128574 4.47570619e-06 -0.00445953337 0.000755221234 -0.00806221832 -0.0318536013 -2.65474009e-05 -0.00364342751 -0.00783601869 -0.00561002549 0.00236014579 0.0482480787 0.000997063587 -0.00235428102 -0.0232188441 0.0178648438 -0.000555493054 -0.00100736832 -0.0030142297 0.0712018386 0.0191141926 -0.0185673237 -0.0740057752 -0.0143763637 0.00804844406 0.00836589281 0.00948738772 -0.00682252692 0.0100089805 0.0132037476 -0.0055411458 0.00543017639 -0.0405609943 0.00790890586 -0.0972689241 -0.0074445284 0.00273187319 0.00977915991 -0.00039526014 0.0183446091 0.0490695089 0.00433023134 -0.0071227476 -0.00735168718 -0.0147905853 -0.0151892407 0.0171406157 0.000761628558 0.0714125708 0.00749210687 -0.00973082613 -0.00681340834 0.0141635826 0.00450243056 0.00171687384 -0.0944435075 0.0210423935 -0.00273078191 0.00846396666 -0.00691135088 0.0066756811 0.0490828343 -0.00693355687 0.0265794434 0.0297312234 -0.0397983938 0.00934347603 -0.0132938037 -0.0281470045 -0.0218856111 0.0346995369 0.033773493 -0.0409354754 -0.00499056419 0.0445598178 -0.024401892 -0.0219946168 0.0157606397 0.0128851868 0.00867223833 -0.010176925 -0.0146391066 0.0117095271 0.0112912422 -0.0117565859 -0.0160565209 -0.014929628 0.00393276149 0.0064316662 -0.015778305 -0.0226790402 -0.0719021261 -0.0126808994 0.00354749267 0.0593185164 0.0232828259 -0.00450744666 -0.0141013199 0.00456101168 -0.013029268 -0.0572859272 0.0448631123 -0.0102411881 0.0106807994 0.062838003 -0.0092801787 0.00401802547 0.00612186594 -0.00889220368 0.00919475313 -0.00403704168 -0.0160469543 0.0072746384 0.0182489678 0.00178645609 -0.038544938 -0.00629087444 0.0978263766 -0.0284949485 -0.00430878438 -0.039557308 0.00508760102 0.0209580269 -0.00466441317 -0.0270185601 -0.0170424189 0.00986742601 0.0241501257 -0.0189393647 -0.00671245623 0.0149797741 0.0172058735 0.0168117639 -0.000402472331 0.0174387451 0.0256244205 0.0123335905 -0.0749232769 -0.0008061353 0.0113053974 -0.00622121012 -0.0358288586 -0.0270354562 -0.0321298204 -0.0160515551 -0.0110124191 -0.0112729641 -0.0261400733 -0.0158518087 -0.0207463074 0.016372662 -0.0196537524 -0.00276407367 0.0501475856 -0.0474679694 0.0056974194 0.0187625661 -0.0170549843 -0.00549385138 -0.0146889389 -0.0357569233 0.00132881943 -0.0420896895 0.0343919434 0.0298440382 -0.000784574891 0.0273956321 -0.00307874847 -0.0376793854 -0.0191535577 0.00141768961 0.0800973475 0.0211549681 -0.00924617704 -0.0265308805 -0.0290622283 0.014802115 0.021205144 -0.0342843086 -0.00416402426 -0.0407946073 -0.00603918126 0.0357937925 -0.00732124783 0.0394554585 -0.0131936781 0.0012843135 0.0343926549 0.0337379873 0.00269263191 -0.00806294382 0.000560210261 -0.022620149 -0.0415463224 -0.00316734612 0.000766155252 -0.0212159734 -0.000876783975 0.0111012934 0.0167510603 -0.0190775041 -0.00967112649 0.019131355 0.0011902093 0.00595602859 0.00465354975 0.0202308111 -0.00292170048 -0.0107462201 0.0179495085 -0.0250519235 -0.0286147408 0.00169830583 -0.00680479128 0.00807609502 0.0453102328 -0.0315994546 -0.00304062502 0.00227105897 -0.01389689 0.0115126576 0.000783017778 -0.0687721595 -0.0216441862 0.00302941841 -0.0183174219 -0.00139262155 0.0218848996 0.00185516314 0.0180641711 0.0592725314 0.0056279921 0.00649534678 0.0331207626 -0.00338644325 -0.000389809109 0.00642915769 -0.0385540687 -0.0112597886 -0.000125330014 0.0190058816 -0.0363148116 -0.0198946036 0.0486603379 -0.0186552126 -0.0242267773 0.0366825573 0.017642932 -0.0223082639 0.016735252 -0.00316146598 0.00319519034 0.00473110611 -0.0169705283 0.00303182262 -0.00598157896 -0.00456259353 -0.0011410797 0.00672084605 -0.013230891 -0.00299302139 0.00890767388 0.0131854359 0.0126566365 -0.012172984 -4.
2
5
train
5
0
2
2015-11-06 14:43:05 +13:00
10
gradWeight
4
2015-11-06 14:43:05 +13:00
130
3
V 1
16
torch.CudaTensor
2
3 1152
1152 1
2015-11-06 14:43:05 +13:00
1
4
2015-11-06 14:43:05 +13:00
131
3
V 1
17
torch.CudaStorage
3456
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
2
2015-11-06 14:43:05 +13:00
10
fgradInput
4
132
3
2015-11-06 14:43:05 +13:00
V 1
16
torch.CudaTensor
0
1
0
2
4
padH
1
0
2015-11-06 14:43:05 +13:00
2
2
dH
1
1
2
2
kW
1
3
1
14
4
2015-11-06 14:43:05 +13:00
133
3
V 1
7
nn.View
3
2015-11-06 14:43:05 +13:00
134
4
2
12
numInputDims
1
3
2
4
size
4
2015-11-06 14:43:05 +13:00
135
3
V 1
17
torch.LongStorage
1
-1
2
2015-11-06 14:43:05 +13:00
5
train
5
0
2
11
numElements
1
1
2
5
train
5
0