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October 24, 2017 06:26
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-image_size 2432 & -tv_weight 0.0000005 | |
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:537] Reading dangerously large protocol message. If the message turns out to be larger than 1073741824 bytes, parsing will be halted for security reasons. To increase the limit (or to disable these warnings), see CodedInputStream::SetTotalBytesLimit() in google/protobuf/io/coded_stream.h. | |
[libprotobuf WARNING google/protobuf/io/coded_stream.cc:78] The total number of bytes read was 538683157 | |
Successfully loaded models/VGG16_SOD_finetune.caffemodel | |
conv1_1: 64 3 3 3 | |
conv1_2: 64 64 3 3 | |
conv2_1: 128 64 3 3 | |
conv2_2: 128 128 3 3 | |
conv3_1: 256 128 3 3 | |
conv3_2: 256 256 3 3 | |
conv3_3: 256 256 3 3 | |
conv4_1: 512 256 3 3 | |
conv4_2: 512 512 3 3 | |
conv4_3: 512 512 3 3 | |
conv5_1: 512 512 3 3 | |
conv5_2: 512 512 3 3 | |
conv5_3: 512 512 3 3 | |
fc6: 1 1 25088 4096 | |
fc7: 1 1 4096 4096 | |
fc8-SOD100: 1 1 4096 100 | |
Setting up style layer 2 : relu1_1 | |
Setting up style layer 7 : relu2_1 | |
Setting up style layer 12 : relu3_1 | |
Setting up style layer 19 : relu4_1 | |
Setting up content layer 21 : relu4_2 | |
Setting up style layer 26 : relu5_1 | |
Capturing content targets | |
nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> (7) -> (8) -> output] | |
(1): nn.GPU(1) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> output] | |
(1): nn.TVLoss | |
(2): cudnn.SpatialConvolution(3 -> 64, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
} | |
(2): nn.GPU(2) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> output] | |
(1): nn.StyleLoss | |
(2): cudnn.SpatialConvolution(64 -> 64, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
} | |
(3): nn.GPU(3) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output] | |
(1): cudnn.SpatialMaxPooling(2x2, 2,2) | |
(2): cudnn.SpatialConvolution(64 -> 128, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
(4): nn.StyleLoss | |
(5): cudnn.SpatialConvolution(128 -> 128, 3x3, 1,1, 1,1) | |
(6): cudnn.ReLU | |
} | |
(4): nn.GPU(4) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> output] | |
(1): cudnn.SpatialMaxPooling(2x2, 2,2) | |
(2): cudnn.SpatialConvolution(128 -> 256, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
} | |
(5): nn.GPU(5) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> output] | |
(1): nn.StyleLoss | |
(2): cudnn.SpatialConvolution(256 -> 256, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
(4): cudnn.SpatialConvolution(256 -> 256, 3x3, 1,1, 1,1) | |
(5): cudnn.ReLU | |
} | |
(6): nn.GPU(6) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output] | |
(1): cudnn.SpatialMaxPooling(2x2, 2,2) | |
(2): cudnn.SpatialConvolution(256 -> 512, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
(4): nn.StyleLoss | |
(5): cudnn.SpatialConvolution(512 -> 512, 3x3, 1,1, 1,1) | |
(6): cudnn.ReLU | |
} | |
(7): nn.GPU(7) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> output] | |
(1): nn.ContentLoss | |
(2): cudnn.SpatialConvolution(512 -> 512, 3x3, 1,1, 1,1) | |
(3): cudnn.ReLU | |
(4): cudnn.SpatialMaxPooling(2x2, 2,2) | |
(5): cudnn.SpatialConvolution(512 -> 512, 3x3, 1,1, 1,1) | |
} | |
(8): nn.GPU(8) @ nn.Sequential { | |
[input -> (1) -> (2) -> output] | |
(1): cudnn.ReLU | |
(2): nn.StyleLoss | |
} | |
} | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 1164591616 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 14068302848 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 4332710400 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 274163968 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 3434939.25 | |
Capturing style target 1 | |
gram updateOutput value: 3.3136463165283 | |
gram updateOutput value 2: 231200432 | |
gram updateOutput value: 80.057891845703 | |
gram updateOutput value 2: 3753993984 | |
gram updateOutput value: 49.26831817627 | |
gram updateOutput value 2: 1826164992 | |
gram updateOutput value: 6.2241559028625 | |
gram updateOutput value 2: 176804336 | |
gram updateOutput value: 0.31082594394684 | |
gram updateOutput value 2: 8545173 | |
3.8834133148193 | |
125.94509124756 | |
122.21520233154 | |
23.665088653564 | |
4.5750517845154 | |
gram updateOutput value: 3.8834133148193 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput value: 125.94509124756 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput value: 122.21520233154 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput value: 23.665088653564 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput value: 4.5750517845154 | |
gram updateOutput value 2: 40656444 | |
y value: 41.496166229248 | |
dy value: 0 | |
Running optimization with ADAM | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
gram 1 value: -1.6226302079758e-08 | |
gram 2 value: -3.2452604159516e-08 | |
gram 3 value: -3.2452604159516e-08 | |
gram 1 value: -2.9464816364566e-08 | |
gram 2 value: -5.8929632729132e-08 | |
gram 3 value: -5.8929632729132e-08 | |
gram 1 value: -2.6448416790004e-08 | |
gram 2 value: -5.2896833580007e-08 | |
gram 3 value: -5.2896833580007e-08 | |
gram 1 value: -1.174338990495e-07 | |
gram 2 value: -2.34867798099e-07 | |
gram 3 value: -2.34867798099e-07 | |
gram 1 value: -3.1889019203035e-10 | |
gram 2 value: -6.377803840607e-10 | |
gram 3 value: -6.377803840607e-10 | |
feval(x) grad value: -5.4058352083863e-16 | |
--- | |
StyleLoss:updateOutput input 1: 13.897933006287 | |
StyleLoss:updateOutput output 1: 13.897933006287 | |
StyleLoss:updateGradInput input 1: 13.897933006287 | |
StyleLoss:updateOutput self.G 1: 1278823680 | |
StyleLoss:updateOutput self.G 2: 3.6386742591858 | |
StyleLoss:updateGradInput self.gradInput 1: -2.1727835086693e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.3036697964708e-05 | |
dG 1: -0.00011950141924899 | |
dG 2: -3.400208445966e-13 | |
--- | |
StyleLoss:updateOutput input 1: 112.44744110107 | |
StyleLoss:updateOutput output 1: 112.44744110107 | |
StyleLoss:updateGradInput input 1: 112.44744110107 | |
StyleLoss:updateOutput self.G 1: 20267821056 | |
StyleLoss:updateOutput self.G 2: 115.33726501465 | |
StyleLoss:updateGradInput self.gradInput 1: -4.7330814822999e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.0275219362229e-05 | |
dG 1: -0.001294901361689 | |
dG 2: -7.3688399132577e-12 | |
--- | |
StyleLoss:updateOutput input 1: 163.86224365234 | |
StyleLoss:updateOutput output 1: 163.86224365234 | |
StyleLoss:updateGradInput input 1: 163.86224365234 | |
StyleLoss:updateOutput self.G 1: 10460779520 | |
StyleLoss:updateOutput self.G 2: 118.95206451416 | |
StyleLoss:updateGradInput self.gradInput 1: -8.5812879024871e-10 | |
StyleLoss:updateGradInput self.gradInput 2: -2.9808131785103e-06 | |
dG 1: -9.958243026631e-05 | |
dG 2: -1.1323762023549e-12 | |
--- | |
StyleLoss:updateOutput input 1: 98.696151733398 | |
StyleLoss:updateOutput output 1: 98.696151733398 | |
StyleLoss:updateGradInput input 1: 98.696151733398 | |
StyleLoss:updateOutput self.G 1: 918054848 | |
StyleLoss:updateOutput self.G 2: 20.841968536377 | |
StyleLoss:updateGradInput self.gradInput 1: -1.1896679197321e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -7.4847244832199e-05 | |
dG 1: -2.1538742657867e-05 | |
dG 2: -4.8897913712889e-13 | |
--- | |
StyleLoss:updateOutput input 1: 41.496166229248 | |
StyleLoss:updateOutput output 1: 41.496166229248 | |
StyleLoss:updateGradInput input 1: 41.496166229248 | |
StyleLoss:updateOutput self.G 1: 40656444 | |
StyleLoss:updateOutput self.G 2: 3.6789810657501 | |
StyleLoss:updateGradInput self.gradInput 1: -7.1434293147377e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00042860573739745 | |
dG 1: -6.8364793150977e-06 | |
dG 2: -6.1862955079775e-13 | |
--- | |
Iteration 1 / 2500 | |
Content 1 loss: 1994813.281250 | |
Style 1 loss: 2699.189365 | |
Style 2 loss: 2853272.277832 | |
Style 3 loss: 10104018.310547 | |
Style 4 loss: 662611.404419 | |
Style 5 loss: 25619.004250 | |
Total loss: 15643033.467662 | |
optim value: -7.1467981338501 | |
--- | |
x1 value: -7.1467981338501 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1206750720 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 18687930368 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10190614528 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 848677632 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 36033176 | |
gram 1 value: -2.2734282012493e-08 | |
gram 2 value: -4.5468564024986e-08 | |
gram 3 value: -4.5468564024986e-08 | |
gram 1 value: -4.2220587914699e-08 | |
gram 2 value: -8.4441175829397e-08 | |
gram 3 value: -8.4441175829397e-08 | |
gram 1 value: -4.0018566238587e-08 | |
gram 2 value: -8.0037132477173e-08 | |
gram 3 value: -8.0037132477173e-08 | |
gram 1 value: -2.0692647240139e-07 | |
gram 2 value: -4.1385294480278e-07 | |
gram 3 value: -4.1385294480278e-07 | |
gram 1 value: -6.0429472537038e-10 | |
gram 2 value: -1.2085894507408e-09 | |
gram 3 value: -1.2085894507408e-09 | |
feval(x) grad value: 1.2719613189254e-16 | |
--- | |
StyleLoss:updateOutput input 1: 13.516628265381 | |
StyleLoss:updateOutput output 1: 13.516628265381 | |
StyleLoss:updateGradInput input 1: 13.516628265381 | |
StyleLoss:updateOutput self.G 1: 1206750720 | |
StyleLoss:updateOutput self.G 2: 3.4336030483246 | |
StyleLoss:updateGradInput self.gradInput 1: -2.7389350787388e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.6433616110589e-05 | |
dG 1: -0.00021963387553114 | |
dG 2: -6.2493066277369e-13 | |
--- | |
StyleLoss:updateOutput input 1: 107.77638244629 | |
StyleLoss:updateOutput output 1: 107.77638244629 | |
StyleLoss:updateGradInput input 1: 107.77638244629 | |
StyleLoss:updateOutput self.G 1: 18687930368 | |
StyleLoss:updateOutput self.G 2: 106.34661865234 | |
StyleLoss:updateGradInput self.gradInput 1: -5.4425308704253e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.731443914352e-05 | |
dG 1: -0.0023923912085593 | |
dG 2: -1.361428157709e-11 | |
--- | |
StyleLoss:updateOutput input 1: 161.76884460449 | |
StyleLoss:updateOutput output 1: 161.76884460449 | |
StyleLoss:updateGradInput input 1: 161.76884460449 | |
StyleLoss:updateOutput self.G 1: 10190614528 | |
StyleLoss:updateOutput self.G 2: 115.87995147705 | |
StyleLoss:updateGradInput self.gradInput 1: -1.1233610708317e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.9050432860677e-06 | |
dG 1: -0.00019333629461471 | |
dG 2: -2.1984746922249e-12 | |
--- | |
StyleLoss:updateOutput input 1: 94.707298278809 | |
StyleLoss:updateOutput output 1: 94.707298278809 | |
StyleLoss:updateGradInput input 1: 94.707298278809 | |
StyleLoss:updateOutput self.G 1: 848677632 | |
StyleLoss:updateOutput self.G 2: 19.266941070557 | |
StyleLoss:updateGradInput self.gradInput 1: -1.4315402196985e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -9.0013003500644e-05 | |
dG 1: -3.3555243135197e-05 | |
dG 2: -7.6178137149024e-13 | |
--- | |
StyleLoss:updateOutput input 1: 38.940925598145 | |
StyleLoss:updateOutput output 1: 38.940925598145 | |
StyleLoss:updateGradInput input 1: 38.940925598145 | |
StyleLoss:updateOutput self.G 1: 36033176 | |
StyleLoss:updateOutput self.G 2: 3.2606241703033 | |
StyleLoss:updateGradInput self.gradInput 1: -8.2274240753577e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00049364555161446 | |
dG 1: -1.0028291399067e-05 | |
dG 2: -9.0745488380561e-13 | |
--- | |
Iteration 2 / 2500 | |
Content 1 loss: 1836153.125000 | |
Style 1 loss: 4946.664691 | |
Style 2 loss: 5943945.556641 | |
Style 3 loss: 14918696.777344 | |
Style 4 loss: 957293.609619 | |
Style 5 loss: 35902.750969 | |
Total loss: 23696938.484263 | |
optim value: -7.0969209671021 | |
--- | |
x1 value: -7.0969209671021 | |
gram updateOutput value: 3.4336030483246 | |
gram updateOutput value 2: 1149958016 | |
gram updateOutput value: 106.34661865234 | |
gram updateOutput value 2: 17448140800 | |
gram updateOutput value: 115.87995147705 | |
gram updateOutput value 2: 9847486464 | |
gram updateOutput value: 19.266941070557 | |
gram updateOutput value 2: 792051584 | |
gram updateOutput value: 3.2606241703033 | |
gram updateOutput value 2: 32482132 | |
gram 1 value: -2.6926239016234e-08 | |
gram 2 value: -5.3852478032468e-08 | |
gram 3 value: -5.3852478032468e-08 | |
gram 1 value: -5.123561308551e-08 | |
gram 2 value: -1.0247122617102e-07 | |
gram 3 value: -1.0247122617102e-07 | |
gram 1 value: -6.8079984316682e-08 | |
gram 2 value: -1.3615996863336e-07 | |
gram 3 value: -1.3615996863336e-07 | |
gram 1 value: -2.7047030926042e-07 | |
gram 2 value: -5.4094061852084e-07 | |
gram 3 value: -5.4094061852084e-07 | |
gram 1 value: -8.1907192139852e-10 | |
gram 2 value: -1.638143842797e-09 | |
gram 3 value: -1.638143842797e-09 | |
feval(x) grad value: -7.4374400266066e-16 | |
--- | |
StyleLoss:updateOutput input 1: 13.220321655273 | |
StyleLoss:updateOutput output 1: 13.220321655273 | |
StyleLoss:updateGradInput input 1: 13.220321655273 | |
StyleLoss:updateOutput self.G 1: 1149958016 | |
StyleLoss:updateOutput self.G 2: 3.2720093727112 | |
StyleLoss:updateGradInput self.gradInput 1: -2.80233436456e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.6814003174659e-05 | |
dG 1: -0.0002985370811075 | |
dG 2: -8.4943624399994e-13 | |
--- | |
StyleLoss:updateOutput input 1: 104.15986633301 | |
StyleLoss:updateOutput output 1: 104.15986633301 | |
StyleLoss:updateGradInput input 1: 104.15986633301 | |
StyleLoss:updateOutput self.G 1: 17448140800 | |
StyleLoss:updateOutput self.G 2: 99.291412353516 | |
StyleLoss:updateGradInput self.gradInput 1: -5.5571653945208e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.818100205739e-05 | |
dG 1: -0.0032536243088543 | |
dG 2: -1.851526224006e-11 | |
--- | |
StyleLoss:updateOutput input 1: 158.92091369629 | |
StyleLoss:updateOutput output 1: 158.92091369629 | |
StyleLoss:updateGradInput input 1: 158.92091369629 | |
StyleLoss:updateOutput self.G 1: 9847486464 | |
StyleLoss:updateOutput self.G 2: 111.97816467285 | |
StyleLoss:updateGradInput self.gradInput 1: -1.728834408965e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -7.7461854743888e-06 | |
dG 1: -0.00031240910175256 | |
dG 2: -3.552480358493e-12 | |
--- | |
StyleLoss:updateOutput input 1: 91.413589477539 | |
StyleLoss:updateOutput output 1: 91.413589477539 | |
StyleLoss:updateGradInput input 1: 91.413589477539 | |
StyleLoss:updateOutput self.G 1: 792051584 | |
StyleLoss:updateOutput self.G 2: 17.981395721436 | |
StyleLoss:updateGradInput self.gradInput 1: -1.5619729509808e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -9.841605060501e-05 | |
dG 1: -4.3363157601561e-05 | |
dG 2: -9.8444386323338e-13 | |
--- | |
StyleLoss:updateOutput input 1: 36.902168273926 | |
StyleLoss:updateOutput output 1: 36.902168273926 | |
StyleLoss:updateGradInput input 1: 36.902168273926 | |
StyleLoss:updateOutput self.G 1: 32482132 | |
StyleLoss:updateOutput self.G 2: 2.9392919540405 | |
StyleLoss:updateGradInput self.gradInput 1: -8.6073562499678e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00051644124323502 | |
dG 1: -1.2479858924053e-05 | |
dG 2: -1.1292959839829e-12 | |
--- | |
Iteration 3 / 2500 | |
Content 1 loss: 1712206.250000 | |
Style 1 loss: 7596.604586 | |
Style 2 loss: 9342404.296875 | |
Style 3 loss: 19629184.570312 | |
Style 4 loss: 1247745.300293 | |
Style 5 loss: 46477.229118 | |
Total loss: 31985614.251184 | |
optim value: -7.0450959205627 | |
--- | |
x1 value: -7.0450959205627 | |
gram updateOutput value: 3.2720093727112 | |
gram updateOutput value 2: 1102386176 | |
gram updateOutput value: 99.291412353516 | |
gram updateOutput value 2: 16412239872 | |
gram updateOutput value: 111.97816467285 | |
gram updateOutput value 2: 9472453632 | |
gram updateOutput value: 17.981395721436 | |
gram updateOutput value 2: 742949696 | |
gram updateOutput value: 2.9392919540405 | |
gram updateOutput value 2: 29534870 | |
gram 1 value: -2.9883761243354e-08 | |
gram 2 value: -5.9767522486709e-08 | |
gram 3 value: -5.9767522486709e-08 | |
gram 1 value: -5.8126985891249e-08 | |
gram 2 value: -1.162539717825e-07 | |
gram 3 value: -1.162539717825e-07 | |
gram 1 value: -1.0605480582626e-07 | |
gram 2 value: -2.1210961165252e-07 | |
gram 3 value: -2.1210961165252e-07 | |
gram 1 value: -3.1939009659254e-07 | |
gram 2 value: -6.3878019318508e-07 | |
gram 3 value: -6.3878019318508e-07 | |
gram 1 value: -9.9321839641675e-10 | |
gram 2 value: -1.9864367928335e-09 | |
gram 3 value: -1.9864367928335e-09 | |
feval(x) grad value: 3.886548143622e-17 | |
--- | |
StyleLoss:updateOutput input 1: 12.968382835388 | |
StyleLoss:updateOutput output 1: 12.968382835388 | |
StyleLoss:updateGradInput input 1: 12.968382835388 | |
StyleLoss:updateOutput self.G 1: 1102386176 | |
StyleLoss:updateOutput self.G 2: 3.136650800705 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8237752136562e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.6942651200225e-05 | |
dG 1: -0.00036462990101427 | |
dG 2: -1.0374921408096e-12 | |
--- | |
StyleLoss:updateOutput input 1: 101.11451721191 | |
StyleLoss:updateOutput output 1: 101.11451721191 | |
StyleLoss:updateGradInput input 1: 101.11451721191 | |
StyleLoss:updateOutput self.G 1: 16412239872 | |
StyleLoss:updateOutput self.G 2: 93.396453857422 | |
StyleLoss:updateGradInput self.gradInput 1: -5.5836606449589e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.7892241127556e-05 | |
dG 1: -0.0039732223376632 | |
dG 2: -2.2610252212174e-11 | |
--- | |
StyleLoss:updateOutput input 1: 155.73225402832 | |
StyleLoss:updateOutput output 1: 155.73225402832 | |
StyleLoss:updateGradInput input 1: 155.73225402832 | |
StyleLoss:updateOutput self.G 1: 9472453632 | |
StyleLoss:updateOutput self.G 2: 107.71360015869 | |
StyleLoss:updateGradInput self.gradInput 1: -2.506162832816e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.2939052794536e-05 | |
dG 1: -0.00044255357352085 | |
dG 2: -5.0323850989131e-12 | |
--- | |
StyleLoss:updateOutput input 1: 88.531539916992 | |
StyleLoss:updateOutput output 1: 88.531539916992 | |
StyleLoss:updateGradInput input 1: 88.531539916992 | |
StyleLoss:updateOutput self.G 1: 742949696 | |
StyleLoss:updateOutput self.G 2: 16.866670608521 | |
StyleLoss:updateGradInput self.gradInput 1: -1.6470332653284e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00010403496708022 | |
dG 1: -5.1867857109755e-05 | |
dG 2: -1.1775199955724e-12 | |
--- | |
StyleLoss:updateOutput input 1: 35.148273468018 | |
StyleLoss:updateOutput output 1: 35.148273468018 | |
StyleLoss:updateGradInput input 1: 35.148273468018 | |
StyleLoss:updateOutput self.G 1: 29534870 | |
StyleLoss:updateOutput self.G 2: 2.672595500946 | |
StyleLoss:updateGradInput self.gradInput 1: -8.7867228160121e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00052720337407663 | |
dG 1: -1.4514591384795e-05 | |
dG 2: -1.31341801584e-12 | |
--- | |
Iteration 4 / 2500 | |
Content 1 loss: 1606906.347656 | |
Style 1 loss: 10405.622005 | |
Style 2 loss: 12803192.871094 | |
Style 3 loss: 23790433.593750 | |
Style 4 loss: 1529300.170898 | |
Style 5 loss: 56922.489166 | |
Total loss: 39797161.094570 | |
optim value: -6.9919424057007 | |
--- | |
x1 value: -6.9919424057007 | |
gram updateOutput value: 3.136650800705 | |
gram updateOutput value 2: 1061940224 | |
gram updateOutput value: 93.396453857422 | |
gram updateOutput value 2: 15533731840 | |
gram updateOutput value: 107.71360015869 | |
gram updateOutput value 2: 9084126208 | |
gram updateOutput value: 16.866670608521 | |
gram updateOutput value 2: 700456448 | |
gram updateOutput value: 2.672595500946 | |
gram updateOutput value 2: 27040744 | |
gram 1 value: -3.2001615579702e-08 | |
gram 2 value: -6.4003231159404e-08 | |
gram 3 value: -6.4003231159404e-08 | |
gram 1 value: -6.3335420463773e-08 | |
gram 2 value: -1.2667084092755e-07 | |
gram 3 value: -1.2667084092755e-07 | |
gram 1 value: -1.5106064665815e-07 | |
gram 2 value: -3.021212933163e-07 | |
gram 3 value: -3.021212933163e-07 | |
gram 1 value: -3.5803125797429e-07 | |
gram 2 value: -7.1606251594858e-07 | |
gram 3 value: -7.1606251594858e-07 | |
gram 1 value: -1.1373710862017e-09 | |
gram 2 value: -2.2747421724034e-09 | |
gram 3 value: -2.2747421724034e-09 | |
feval(x) grad value: 4.2222048674807e-16 | |
--- | |
StyleLoss:updateOutput input 1: 12.749844551086 | |
StyleLoss:updateOutput output 1: 12.749844551086 | |
StyleLoss:updateGradInput input 1: 12.749844551086 | |
StyleLoss:updateOutput self.G 1: 1061940224 | |
StyleLoss:updateOutput self.G 2: 3.0215694904327 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8325848333566e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.6995509213302e-05 | |
dG 1: -0.00042082217987627 | |
dG 2: -1.1973778088828e-12 | |
--- | |
StyleLoss:updateOutput input 1: 98.501678466797 | |
StyleLoss:updateOutput output 1: 98.501678466797 | |
StyleLoss:updateGradInput input 1: 98.501678466797 | |
StyleLoss:updateOutput self.G 1: 15533731840 | |
StyleLoss:updateOutput self.G 2: 88.397148132324 | |
StyleLoss:updateGradInput self.gradInput 1: -5.5969193724081e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.737549170386e-05 | |
dG 1: -0.0045834886841476 | |
dG 2: -2.6083064527671e-11 | |
--- | |
StyleLoss:updateOutput input 1: 152.36668395996 | |
StyleLoss:updateOutput output 1: 152.36668395996 | |
StyleLoss:updateGradInput input 1: 152.36668395996 | |
StyleLoss:updateOutput self.G 1: 9084126208 | |
StyleLoss:updateOutput self.G 2: 103.29782867432 | |
StyleLoss:updateGradInput self.gradInput 1: -3.3877800564852e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.8904625903815e-05 | |
dG 1: -0.00057731237029657 | |
dG 2: -6.5647608876729e-12 | |
--- | |
StyleLoss:updateOutput input 1: 86.005401611328 | |
StyleLoss:updateOutput output 1: 86.005401611328 | |
StyleLoss:updateGradInput input 1: 86.005401611328 | |
StyleLoss:updateOutput self.G 1: 700456448 | |
StyleLoss:updateOutput self.G 2: 15.901976585388 | |
StyleLoss:updateGradInput self.gradInput 1: -1.701035756696e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00010767654021038 | |
dG 1: -5.9227877500234e-05 | |
dG 2: -1.3446098618211e-12 | |
--- | |
StyleLoss:updateOutput input 1: 33.609344482422 | |
StyleLoss:updateOutput output 1: 33.609344482422 | |
StyleLoss:updateGradInput input 1: 33.609344482422 | |
StyleLoss:updateOutput self.G 1: 27040744 | |
StyleLoss:updateOutput self.G 2: 2.4469029903412 | |
StyleLoss:updateGradInput self.gradInput 1: -8.884092039807e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00053304550237954 | |
dG 1: -1.6236488590948e-05 | |
dG 2: -1.4692314205533e-12 | |
--- | |
Iteration 5 / 2500 | |
Content 1 loss: 1516414.062500 | |
Style 1 loss: 13214.175224 | |
Style 2 loss: 16159595.214844 | |
Style 3 loss: 27307517.578125 | |
Style 4 loss: 1796307.495117 | |
Style 5 loss: 66935.050964 | |
Total loss: 46859983.576775 | |
optim value: -6.9378447532654 | |
--- | |
x1 value: -6.9378447532654 | |
gram updateOutput value: 3.0215694904327 | |
gram updateOutput value 2: 1026969472 | |
gram updateOutput value: 88.397148132324 | |
gram updateOutput value 2: 14770340864 | |
gram updateOutput value: 103.29782867432 | |
gram updateOutput value 2: 8700471296 | |
gram updateOutput value: 15.901976585388 | |
gram updateOutput value 2: 662480064 | |
gram updateOutput value: 2.4469029903412 | |
gram updateOutput value 2: 24862280 | |
gram 1 value: -3.3537350674351e-08 | |
gram 2 value: -6.7074701348702e-08 | |
gram 3 value: -6.7074701348702e-08 | |
gram 1 value: -6.7355777844114e-08 | |
gram 2 value: -1.3471155568823e-07 | |
gram 3 value: -1.3471155568823e-07 | |
gram 1 value: -1.9727696098926e-07 | |
gram 2 value: -3.9455392197851e-07 | |
gram 3 value: -3.9455392197851e-07 | |
gram 1 value: -3.8934729218454e-07 | |
gram 2 value: -7.7869458436908e-07 | |
gram 3 value: -7.7869458436908e-07 | |
gram 1 value: -1.2592874520934e-09 | |
gram 2 value: -2.5185749041867e-09 | |
gram 3 value: -2.5185749041867e-09 | |
feval(x) grad value: 1.5369531941937e-16 | |
--- | |
StyleLoss:updateOutput input 1: 12.55614566803 | |
StyleLoss:updateOutput output 1: 12.55614566803 | |
StyleLoss:updateGradInput input 1: 12.55614566803 | |
StyleLoss:updateOutput self.G 1: 1026969472 | |
StyleLoss:updateOutput self.G 2: 2.9220662117004 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8360112036552e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7016067431541e-05 | |
dG 1: -0.00046940770698711 | |
dG 2: -1.3356195489866e-12 | |
--- | |
StyleLoss:updateOutput input 1: 96.188117980957 | |
StyleLoss:updateOutput output 1: 96.188117980957 | |
StyleLoss:updateGradInput input 1: 96.188117980957 | |
StyleLoss:updateOutput self.G 1: 14770340864 | |
StyleLoss:updateOutput self.G 2: 84.052955627441 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6067381848379e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.7002515202621e-05 | |
dG 1: -0.0051137851551175 | |
dG 2: -2.9100799894821e-11 | |
--- | |
StyleLoss:updateOutput input 1: 148.99450683594 | |
StyleLoss:updateOutput output 1: 148.99450683594 | |
StyleLoss:updateGradInput input 1: 148.99450683594 | |
StyleLoss:updateOutput self.G 1: 8700471296 | |
StyleLoss:updateOutput self.G 2: 98.935195922852 | |
StyleLoss:updateGradInput self.gradInput 1: -4.2450927217885e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -2.4773749828455e-05 | |
dG 1: -0.00071044964715838 | |
dG 2: -8.0786974332447e-12 | |
--- | |
StyleLoss:updateOutput input 1: 83.686256408691 | |
StyleLoss:updateOutput output 1: 83.686256408691 | |
StyleLoss:updateGradInput input 1: 83.686256408691 | |
StyleLoss:updateOutput self.G 1: 662480064 | |
StyleLoss:updateOutput self.G 2: 15.039823532104 | |
StyleLoss:updateGradInput self.gradInput 1: -1.7367508320376e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011005861597368 | |
dG 1: -6.5805594203994e-05 | |
dG 2: -1.4939384365004e-12 | |
--- | |
StyleLoss:updateOutput input 1: 32.205951690674 | |
StyleLoss:updateOutput output 1: 32.205951690674 | |
StyleLoss:updateGradInput input 1: 32.205951690674 | |
StyleLoss:updateOutput self.G 1: 24862280 | |
StyleLoss:updateOutput self.G 2: 2.2497744560242 | |
StyleLoss:updateGradInput self.gradInput 1: -8.9402824698936e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00053641694830731 | |
dG 1: -1.7740456314641e-05 | |
dG 2: -1.605324597212e-12 | |
--- | |
Iteration 6 / 2500 | |
Content 1 loss: 1435329.003906 | |
Style 1 loss: 15952.959538 | |
Style 2 loss: 19403862.304688 | |
Style 3 loss: 30468416.015625 | |
Style 4 loss: 2056525.634766 | |
Style 5 loss: 76599.214554 | |
Total loss: 53456685.133076 | |
optim value: -6.8831324577332 | |
--- | |
x1 value: -6.8831324577332 | |
gram updateOutput value: 2.9220662117004 | |
gram updateOutput value 2: 996364224 | |
gram updateOutput value: 84.052955627441 | |
gram updateOutput value 2: 14100199424 | |
gram updateOutput value: 98.935195922852 | |
gram updateOutput value 2: 8335134720 | |
gram updateOutput value: 15.039823532104 | |
gram updateOutput value 2: 628675712 | |
gram updateOutput value: 2.2497744560242 | |
gram updateOutput value 2: 22960524 | |
gram 1 value: -3.461704167762e-08 | |
gram 2 value: -6.9234083355241e-08 | |
gram 3 value: -6.9234083355241e-08 | |
gram 1 value: -7.0383379124905e-08 | |
gram 2 value: -1.4076675824981e-07 | |
gram 3 value: -1.4076675824981e-07 | |
gram 1 value: -2.4141615995177e-07 | |
gram 2 value: -4.8283231990354e-07 | |
gram 3 value: -4.8283231990354e-07 | |
gram 1 value: -4.1503099623696e-07 | |
gram 2 value: -8.3006199247393e-07 | |
gram 3 value: -8.3006199247393e-07 | |
gram 1 value: -1.3640806262316e-09 | |
gram 2 value: -2.7281612524632e-09 | |
gram 3 value: -2.7281612524632e-09 | |
feval(x) grad value: -1.5192869985898e-16 | |
--- | |
StyleLoss:updateOutput input 1: 12.382091522217 | |
StyleLoss:updateOutput output 1: 12.382091522217 | |
StyleLoss:updateGradInput input 1: 12.382091522217 | |
StyleLoss:updateOutput self.G 1: 996364224 | |
StyleLoss:updateOutput self.G 2: 2.8349840641022 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8382369787749e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7029416994774e-05 | |
dG 1: -0.00051192817045376 | |
dG 2: -1.456604043111e-12 | |
--- | |
StyleLoss:updateOutput input 1: 94.114059448242 | |
StyleLoss:updateOutput output 1: 94.114059448242 | |
StyleLoss:updateGradInput input 1: 94.114059448242 | |
StyleLoss:updateOutput self.G 1: 14100199424 | |
StyleLoss:updateOutput self.G 2: 80.23942565918 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6142197557563e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.6783014113316e-05 | |
dG 1: -0.0055793058127165 | |
dG 2: -3.1749918666391e-11 | |
--- | |
StyleLoss:updateOutput input 1: 145.75161743164 | |
StyleLoss:updateOutput output 1: 145.75161743164 | |
StyleLoss:updateGradInput input 1: 145.75161743164 | |
StyleLoss:updateOutput self.G 1: 8335134720 | |
StyleLoss:updateOutput self.G 2: 94.780853271484 | |
StyleLoss:updateGradInput self.gradInput 1: -5.0201367507441e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.0148326914059e-05 | |
dG 1: -0.00083722989074886 | |
dG 2: -9.5203471842109e-12 | |
--- | |
StyleLoss:updateOutput input 1: 81.562980651855 | |
StyleLoss:updateOutput output 1: 81.562980651855 | |
StyleLoss:updateGradInput input 1: 81.562980651855 | |
StyleLoss:updateOutput self.G 1: 628675712 | |
StyleLoss:updateOutput self.G 2: 14.272391319275 | |
StyleLoss:updateGradInput self.gradInput 1: -1.7607098001804e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011166401236551 | |
dG 1: -7.1660666435491e-05 | |
dG 2: -1.6268624902088e-12 | |
--- | |
StyleLoss:updateOutput input 1: 30.932281494141 | |
StyleLoss:updateOutput output 1: 30.932281494141 | |
StyleLoss:updateGradInput input 1: 30.932281494141 | |
StyleLoss:updateOutput self.G 1: 22960524 | |
StyleLoss:updateOutput self.G 2: 2.0776858329773 | |
StyleLoss:updateGradInput self.gradInput 1: -8.9735053165896e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00053841032786295 | |
dG 1: -1.9053390133195e-05 | |
dG 2: -1.7241314712729e-12 | |
--- | |
Iteration 7 / 2500 | |
Content 1 loss: 1362586.621094 | |
Style 1 loss: 18586.707115 | |
Style 2 loss: 22502178.222656 | |
Style 3 loss: 33375020.507812 | |
Style 4 loss: 2304691.040039 | |
Style 5 loss: 85755.580902 | |
Total loss: 59648818.679619 | |
optim value: -6.8280878067017 | |
--- | |
x1 value: -6.8280878067017 | |
gram updateOutput value: 2.8349840641022 | |
gram updateOutput value 2: 969341376 | |
gram updateOutput value: 80.23942565918 | |
gram updateOutput value 2: 13508595712 | |
gram updateOutput value: 94.780853271484 | |
gram updateOutput value 2: 7994427392 | |
gram updateOutput value: 14.272391319275 | |
gram updateOutput value 2: 598558976 | |
gram updateOutput value: 2.0776858329773 | |
gram updateOutput value 2: 21308344 | |
gram 1 value: -3.5344427828932e-08 | |
gram 2 value: -7.0688855657863e-08 | |
gram 3 value: -7.0688855657863e-08 | |
gram 1 value: -7.2621404001438e-08 | |
gram 2 value: -1.4524280800288e-07 | |
gram 3 value: -1.4524280800288e-07 | |
gram 1 value: -2.8210646974003e-07 | |
gram 2 value: -5.6421293948006e-07 | |
gram 3 value: -5.6421293948006e-07 | |
gram 1 value: -4.3625848888951e-07 | |
gram 2 value: -8.7251697777901e-07 | |
gram 3 value: -8.7251697777901e-07 | |
gram 1 value: -1.4552372640253e-09 | |
gram 2 value: -2.9104745280506e-09 | |
gram 3 value: -2.9104745280506e-09 | |
feval(x) grad value: -2.2082661125155e-16 | |
--- | |
StyleLoss:updateOutput input 1: 12.224289894104 | |
StyleLoss:updateOutput output 1: 12.224289894104 | |
StyleLoss:updateGradInput input 1: 12.224289894104 | |
StyleLoss:updateOutput self.G 1: 969341376 | |
StyleLoss:updateOutput self.G 2: 2.7580952644348 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8397442175532e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7038461010088e-05 | |
dG 1: -0.00054947170428932 | |
dG 2: -1.5634275558202e-12 | |
--- | |
StyleLoss:updateOutput input 1: 92.242523193359 | |
StyleLoss:updateOutput output 1: 92.242523193359 | |
StyleLoss:updateGradInput input 1: 92.242523193359 | |
StyleLoss:updateOutput self.G 1: 13508595712 | |
StyleLoss:updateOutput self.G 2: 76.87279510498 | |
StyleLoss:updateGradInput self.gradInput 1: -5.620059972955e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.6611410652986e-05 | |
dG 1: -0.0059902695938945 | |
dG 2: -3.4088572242741e-11 | |
--- | |
StyleLoss:updateOutput input 1: 142.70252990723 | |
StyleLoss:updateOutput output 1: 142.70252990723 | |
StyleLoss:updateGradInput input 1: 142.70252990723 | |
StyleLoss:updateOutput self.G 1: 7994427392 | |
StyleLoss:updateOutput self.G 2: 90.906593322754 | |
StyleLoss:updateGradInput self.gradInput 1: -5.69768499048e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.4864842746174e-05 | |
dG 1: -0.00095546245574951 | |
dG 2: -1.0864796909371e-11 | |
--- | |
StyleLoss:updateOutput input 1: 79.622062683105 | |
StyleLoss:updateOutput output 1: 79.622062683105 | |
StyleLoss:updateGradInput input 1: 79.622062683105 | |
StyleLoss:updateOutput self.G 1: 598558976 | |
StyleLoss:updateOutput self.G 2: 13.588671684265 | |
StyleLoss:updateGradInput self.gradInput 1: -1.777423719318e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011283426283626 | |
dG 1: -7.687701145187e-05 | |
dG 2: -1.7452853398603e-12 | |
--- | |
StyleLoss:updateOutput input 1: 29.786548614502 | |
StyleLoss:updateOutput output 1: 29.786548614502 | |
StyleLoss:updateGradInput input 1: 29.786548614502 | |
StyleLoss:updateOutput self.G 1: 21308344 | |
StyleLoss:updateOutput self.G 2: 1.9281812906265 | |
StyleLoss:updateGradInput self.gradInput 1: -8.9933358538019e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00053960020886734 | |
dG 1: -2.0194020180497e-05 | |
dG 2: -1.8273462170509e-12 | |
--- | |
Iteration 8 / 2500 | |
Content 1 loss: 1297584.277344 | |
Style 1 loss: 21098.050117 | |
Style 2 loss: 25427961.914062 | |
Style 3 loss: 36071830.078125 | |
Style 4 loss: 2537404.541016 | |
Style 5 loss: 94260.807037 | |
Total loss: 65450139.667702 | |
optim value: -6.7729783058167 | |
--- | |
x1 value: -6.7729783058167 | |
gram updateOutput value: 2.7580952644348 | |
gram updateOutput value 2: 945304064 | |
gram updateOutput value: 76.87279510498 | |
gram updateOutput value 2: 12982495232 | |
gram updateOutput value: 90.906593322754 | |
gram updateOutput value 2: 7679200768 | |
gram updateOutput value: 13.588671684265 | |
gram updateOutput value 2: 571504128 | |
gram updateOutput value: 1.9281812906265 | |
gram updateOutput value 2: 19849584 | |
gram 1 value: -3.5813023657738e-08 | |
gram 2 value: -7.1626047315476e-08 | |
gram 3 value: -7.1626047315476e-08 | |
gram 1 value: -7.426747572481e-08 | |
gram 2 value: -1.4853495144962e-07 | |
gram 3 value: -1.4853495144962e-07 | |
gram 1 value: -3.1895049801278e-07 | |
gram 2 value: -6.3790099602556e-07 | |
gram 3 value: -6.3790099602556e-07 | |
gram 1 value: -4.5394170911095e-07 | |
gram 2 value: -9.078834182219e-07 | |
gram 3 value: -9.078834182219e-07 | |
gram 1 value: -1.5353366356052e-09 | |
gram 2 value: -3.0706732712105e-09 | |
gram 3 value: -3.0706732712105e-09 | |
feval(x) grad value: -1.0069693113082e-16 | |
--- | |
StyleLoss:updateOutput input 1: 12.080185890198 | |
StyleLoss:updateOutput output 1: 12.080185890198 | |
StyleLoss:updateGradInput input 1: 12.080185890198 | |
StyleLoss:updateOutput self.G 1: 945304064 | |
StyleLoss:updateOutput self.G 2: 2.6897013187408 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8407118879414e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7044270862243e-05 | |
dG 1: -0.00058286712737754 | |
dG 2: -1.6584487689403e-12 | |
--- | |
StyleLoss:updateOutput input 1: 90.539726257324 | |
StyleLoss:updateOutput output 1: 90.539726257324 | |
StyleLoss:updateGradInput input 1: 90.539726257324 | |
StyleLoss:updateOutput self.G 1: 12982495232 | |
StyleLoss:updateOutput self.G 2: 73.878952026367 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6246189927833e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.6458033466479e-05 | |
dG 1: -0.0063557312823832 | |
dG 2: -3.6168287115279e-11 | |
--- | |
StyleLoss:updateOutput input 1: 139.85787963867 | |
StyleLoss:updateOutput output 1: 139.85787963867 | |
StyleLoss:updateGradInput input 1: 139.85787963867 | |
StyleLoss:updateOutput self.G 1: 7679200768 | |
StyleLoss:updateOutput self.G 2: 87.322090148926 | |
StyleLoss:updateGradInput self.gradInput 1: -6.2812612888763e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.8946061977185e-05 | |
dG 1: -0.0010648533934727 | |
dG 2: -1.2108709868119e-11 | |
--- | |
StyleLoss:updateOutput input 1: 77.829551696777 | |
StyleLoss:updateOutput output 1: 77.829551696777 | |
StyleLoss:updateGradInput input 1: 77.829551696777 | |
StyleLoss:updateOutput self.G 1: 571504128 | |
StyleLoss:updateOutput self.G 2: 12.97446346283 | |
StyleLoss:updateGradInput self.gradInput 1: -1.7901676585552e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011369063577149 | |
dG 1: -8.1563048297539e-05 | |
dG 2: -1.8516692085885e-12 | |
--- | |
StyleLoss:updateOutput input 1: 28.743377685547 | |
StyleLoss:updateOutput output 1: 28.743377685547 | |
StyleLoss:updateGradInput input 1: 28.743377685547 | |
StyleLoss:updateOutput self.G 1: 19849584 | |
StyleLoss:updateOutput self.G 2: 1.796178817749 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0048139611554e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054028892191127 | |
dG 1: -2.1201120034675e-05 | |
dG 2: -1.9184786138188e-12 | |
--- | |
Iteration 9 / 2500 | |
Content 1 loss: 1239320.507812 | |
Style 1 loss: 23480.419636 | |
Style 2 loss: 28179823.242188 | |
Style 3 loss: 38604585.937500 | |
Style 4 loss: 2753712.158203 | |
Style 5 loss: 102224.716187 | |
Total loss: 70903146.981525 | |
optim value: -6.7180557250977 | |
--- | |
x1 value: -6.7180557250977 | |
gram updateOutput value: 2.6897013187408 | |
gram updateOutput value 2: 923772480 | |
gram updateOutput value: 73.878952026367 | |
gram updateOutput value 2: 12511812608 | |
gram updateOutput value: 87.322090148926 | |
gram updateOutput value 2: 7388298752 | |
gram updateOutput value: 12.97446346283 | |
gram updateOutput value 2: 547057920 | |
gram updateOutput value: 1.796178817749 | |
gram updateOutput value 2: 18551186 | |
gram 1 value: -3.6080447074482e-08 | |
gram 2 value: -7.2160894148965e-08 | |
gram 3 value: -7.2160894148965e-08 | |
gram 1 value: -7.5469287708074e-08 | |
gram 2 value: -1.5093857541615e-07 | |
gram 3 value: -1.5093857541615e-07 | |
gram 1 value: -3.5204936921218e-07 | |
gram 2 value: -7.0409873842436e-07 | |
gram 3 value: -7.0409873842436e-07 | |
gram 1 value: -4.6875544512659e-07 | |
gram 2 value: -9.3751089025318e-07 | |
gram 3 value: -9.3751089025318e-07 | |
gram 1 value: -1.6063770313934e-09 | |
gram 2 value: -3.2127540627869e-09 | |
gram 3 value: -3.2127540627869e-09 | |
feval(x) grad value: -1.5899515163079e-16 | |
--- | |
StyleLoss:updateOutput input 1: 11.947798728943 | |
StyleLoss:updateOutput output 1: 11.947798728943 | |
StyleLoss:updateGradInput input 1: 11.947798728943 | |
StyleLoss:updateOutput self.G 1: 923772480 | |
StyleLoss:updateOutput self.G 2: 2.6284363269806 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8413535968497e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7048119843821e-05 | |
dG 1: -0.00061278167413548 | |
dG 2: -1.7435654699541e-12 | |
--- | |
StyleLoss:updateOutput input 1: 88.98021697998 | |
StyleLoss:updateOutput output 1: 88.98021697998 | |
StyleLoss:updateGradInput input 1: 88.98021697998 | |
StyleLoss:updateOutput self.G 1: 12511812608 | |
StyleLoss:updateOutput self.G 2: 71.20044708252 | |
StyleLoss:updateGradInput self.gradInput 1: -5.628158827875e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.6278339141281e-05 | |
dG 1: -0.006682694889605 | |
dG 2: -3.802893069893e-11 | |
--- | |
StyleLoss:updateOutput input 1: 137.20745849609 | |
StyleLoss:updateOutput output 1: 137.20745849609 | |
StyleLoss:updateGradInput input 1: 137.20745849609 | |
StyleLoss:updateOutput self.G 1: 7388298752 | |
StyleLoss:updateOutput self.G 2: 84.014129638672 | |
StyleLoss:updateGradInput self.gradInput 1: -6.78309719504e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.2444644350326e-05 | |
dG 1: -0.0011658035218716 | |
dG 2: -1.325663450541e-11 | |
--- | |
StyleLoss:updateOutput input 1: 76.165855407715 | |
StyleLoss:updateOutput output 1: 76.165855407715 | |
StyleLoss:updateGradInput input 1: 76.165855407715 | |
StyleLoss:updateOutput self.G 1: 547057920 | |
StyleLoss:updateOutput self.G 2: 12.41947555542 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8005367863339e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011438124784036 | |
dG 1: -8.5797255451325e-05 | |
dG 2: -1.9477952237223e-12 | |
--- | |
StyleLoss:updateOutput input 1: 27.786323547363 | |
StyleLoss:updateOutput output 1: 27.786323547363 | |
StyleLoss:updateGradInput input 1: 27.786323547363 | |
StyleLoss:updateOutput self.G 1: 18551186 | |
StyleLoss:updateOutput self.G 2: 1.6786873340607 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0115200634955e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0005406912532635 | |
dG 1: -2.2097510736785e-05 | |
dG 2: -1.9995921151511e-12 | |
--- | |
Iteration 10 / 2500 | |
Content 1 loss: 1187294.433594 | |
Style 1 loss: 25735.945702 | |
Style 2 loss: 30762506.835938 | |
Style 3 loss: 41001043.945312 | |
Style 4 loss: 2953463.195801 | |
Style 5 loss: 109676.891327 | |
Total loss: 76039721.247673 | |
optim value: -6.6635041236877 | |
--- | |
x1 value: -6.6635041236877 | |
gram updateOutput value: 2.6284363269806 | |
gram updateOutput value 2: 904378176 | |
gram updateOutput value: 71.20044708252 | |
gram updateOutput value 2: 12088676352 | |
gram updateOutput value: 84.014129638672 | |
gram updateOutput value 2: 7119417344 | |
gram updateOutput value: 12.41947555542 | |
gram updateOutput value 2: 524907008 | |
gram updateOutput value: 1.6786873340607 | |
gram updateOutput value 2: 17386442 | |
gram 1 value: -3.6191838859168e-08 | |
gram 2 value: -7.2383677718335e-08 | |
gram 3 value: -7.2383677718335e-08 | |
gram 1 value: -7.6339638610534e-08 | |
gram 2 value: -1.5267927722107e-07 | |
gram 3 value: -1.5267927722107e-07 | |
gram 1 value: -3.8181588024599e-07 | |
gram 2 value: -7.6363176049199e-07 | |
gram 3 value: -7.6363176049199e-07 | |
gram 1 value: -4.8121603413165e-07 | |
gram 2 value: -9.624320682633e-07 | |
gram 3 value: -9.624320682633e-07 | |
gram 1 value: -1.6698566973616e-09 | |
gram 2 value: -3.3397133947233e-09 | |
gram 3 value: -3.3397133947233e-09 | |
feval(x) grad value: 2.1376015947974e-16 | |
--- | |
StyleLoss:updateOutput input 1: 11.825624465942 | |
StyleLoss:updateOutput output 1: 11.825624465942 | |
StyleLoss:updateGradInput input 1: 11.825624465942 | |
StyleLoss:updateOutput self.G 1: 904378176 | |
StyleLoss:updateOutput self.G 2: 2.5732533931732 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8418725150914e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7051237591659e-05 | |
dG 1: -0.00063972646603361 | |
dG 2: -1.8202323329164e-12 | |
--- | |
StyleLoss:updateOutput input 1: 87.544944763184 | |
StyleLoss:updateOutput output 1: 87.544944763184 | |
StyleLoss:updateGradInput input 1: 87.544944763184 | |
StyleLoss:updateOutput self.G 1: 12088676352 | |
StyleLoss:updateOutput self.G 2: 68.792518615723 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6309032991919e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.6065619244473e-05 | |
dG 1: -0.0069766324013472 | |
dG 2: -3.97016274023e-11 | |
--- | |
StyleLoss:updateOutput input 1: 134.7308807373 | |
StyleLoss:updateOutput output 1: 134.7308807373 | |
StyleLoss:updateGradInput input 1: 134.7308807373 | |
StyleLoss:updateOutput self.G 1: 7119417344 | |
StyleLoss:updateOutput self.G 2: 80.956634521484 | |
StyleLoss:updateGradInput self.gradInput 1: -7.2174564103022e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.5446049625752e-05 | |
dG 1: -0.0012591111008078 | |
dG 2: -1.4317660772256e-11 | |
--- | |
StyleLoss:updateOutput input 1: 74.622146606445 | |
StyleLoss:updateOutput output 1: 74.622146606445 | |
StyleLoss:updateGradInput input 1: 74.622146606445 | |
StyleLoss:updateOutput self.G 1: 524907008 | |
StyleLoss:updateOutput self.G 2: 11.916599273682 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8094000964197e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011499268293846 | |
dG 1: -8.9633904281072e-05 | |
dG 2: -2.034896123132e-12 | |
--- | |
StyleLoss:updateOutput input 1: 26.900667190552 | |
StyleLoss:updateOutput output 1: 26.900667190552 | |
StyleLoss:updateGradInput input 1: 26.900667190552 | |
StyleLoss:updateOutput self.G 1: 17386442 | |
StyleLoss:updateOutput self.G 2: 1.5732899904251 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0157257659484e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054094358347356 | |
dG 1: -2.2901624106453e-05 | |
dG 2: -2.0723561755531e-12 | |
--- | |
Iteration 11 / 2500 | |
Content 1 loss: 1140776.562500 | |
Style 1 loss: 27869.084358 | |
Style 2 loss: 33182176.757812 | |
Style 3 loss: 43272093.750000 | |
Style 4 loss: 3136776.123047 | |
Style 5 loss: 116632.564545 | |
Total loss: 80876324.842262 | |
optim value: -6.6094737052917 | |
--- | |
x1 value: -6.6094737052917 | |
gram updateOutput value: 2.5732533931732 | |
gram updateOutput value 2: 886823488 | |
gram updateOutput value: 68.792518615723 | |
gram updateOutput value 2: 11706680320 | |
gram updateOutput value: 80.956634521484 | |
gram updateOutput value 2: 6870191104 | |
gram updateOutput value: 11.916599273682 | |
gram updateOutput value 2: 504722720 | |
gram updateOutput value: 1.5732899904251 | |
gram updateOutput value 2: 16341784 | |
gram 1 value: -3.6179550022553e-08 | |
gram 2 value: -7.2359100045105e-08 | |
gram 3 value: -7.2359100045105e-08 | |
gram 1 value: -7.6968134976596e-08 | |
gram 2 value: -1.5393626995319e-07 | |
gram 3 value: -1.5393626995319e-07 | |
gram 1 value: -4.0866754602575e-07 | |
gram 2 value: -8.1733509205151e-07 | |
gram 3 value: -8.1733509205151e-07 | |
gram 1 value: -4.9172854232893e-07 | |
gram 2 value: -9.8345708465786e-07 | |
gram 3 value: -9.8345708465786e-07 | |
gram 1 value: -1.7269428109756e-09 | |
gram 2 value: -3.4538856219513e-09 | |
gram 3 value: -3.4538856219513e-09 | |
feval(x) grad value: 7.7730962872441e-17 | |
--- | |
StyleLoss:updateOutput input 1: 11.71245098114 | |
StyleLoss:updateOutput output 1: 11.71245098114 | |
StyleLoss:updateGradInput input 1: 11.71245098114 | |
StyleLoss:updateOutput self.G 1: 886823488 | |
StyleLoss:updateOutput self.G 2: 2.5233047008514 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8422975084652e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7053787814802e-05 | |
dG 1: -0.00066411547595635 | |
dG 2: -1.8896269098068e-12 | |
--- | |
StyleLoss:updateOutput input 1: 86.218879699707 | |
StyleLoss:updateOutput output 1: 86.218879699707 | |
StyleLoss:updateGradInput input 1: 86.218879699707 | |
StyleLoss:updateOutput self.G 1: 11706680320 | |
StyleLoss:updateOutput self.G 2: 66.618713378906 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6330149433848e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.5810033043381e-05 | |
dG 1: -0.0072419894859195 | |
dG 2: -4.1211686840903e-11 | |
--- | |
StyleLoss:updateOutput input 1: 132.4069519043 | |
StyleLoss:updateOutput output 1: 132.4069519043 | |
StyleLoss:updateGradInput input 1: 132.4069519043 | |
StyleLoss:updateOutput self.G 1: 6870191104 | |
StyleLoss:updateOutput self.G 2: 78.122611999512 | |
StyleLoss:updateGradInput self.gradInput 1: -7.5964932122474e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.8050798795884e-05 | |
dG 1: -0.0013455982552841 | |
dG 2: -1.5301130154577e-11 | |
--- | |
StyleLoss:updateOutput input 1: 73.183242797852 | |
StyleLoss:updateOutput output 1: 73.183242797852 | |
StyleLoss:updateGradInput input 1: 73.183242797852 | |
StyleLoss:updateOutput self.G 1: 504722720 | |
StyleLoss:updateOutput self.G 2: 11.458371162415 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8175038363211e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011551659554243 | |
dG 1: -9.3129914603196e-05 | |
dG 2: -2.1142631916049e-12 | |
--- | |
StyleLoss:updateOutput input 1: 26.082305908203 | |
StyleLoss:updateOutput output 1: 26.082305908203 | |
StyleLoss:updateGradInput input 1: 26.082305908203 | |
StyleLoss:updateOutput self.G 1: 16341784 | |
StyleLoss:updateOutput self.G 2: 1.4787596464157 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0185267254128e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054111157078296 | |
dG 1: -2.3622838853044e-05 | |
dG 2: -2.1376184242833e-12 | |
--- | |
Iteration 12 / 2500 | |
Content 1 loss: 1098976.171875 | |
Style 1 loss: 29885.725021 | |
Style 2 loss: 35446807.617188 | |
Style 3 loss: 45423539.062500 | |
Style 4 loss: 3304604.370117 | |
Style 5 loss: 123096.805573 | |
Total loss: 85426909.752274 | |
optim value: -6.5561037063599 | |
--- | |
x1 value: -6.5561037063599 | |
gram updateOutput value: 2.5233047008514 | |
gram updateOutput value 2: 870866560 | |
gram updateOutput value: 66.618713378906 | |
gram updateOutput value 2: 11360462848 | |
gram updateOutput value: 78.122611999512 | |
gram updateOutput value 2: 6638599168 | |
gram updateOutput value: 11.458371162415 | |
gram updateOutput value 2: 486304448 | |
gram updateOutput value: 1.4787596464157 | |
gram updateOutput value 2: 15394633 | |
gram 1 value: -3.6070456843618e-08 | |
gram 2 value: -7.2140913687235e-08 | |
gram 3 value: -7.2140913687235e-08 | |
gram 1 value: -7.7405552190157e-08 | |
gram 2 value: -1.5481110438031e-07 | |
gram 3 value: -1.5481110438031e-07 | |
gram 1 value: -4.3290992834955e-07 | |
gram 2 value: -8.6581985669909e-07 | |
gram 3 value: -8.6581985669909e-07 | |
gram 1 value: -5.0061919409927e-07 | |
gram 2 value: -1.0012383881985e-06 | |
gram 3 value: -1.0012383881985e-06 | |
gram 1 value: -1.7785223294098e-09 | |
gram 2 value: -3.5570446588196e-09 | |
gram 3 value: -3.5570446588196e-09 | |
feval(x) grad value: 2.6499192489918e-17 | |
--- | |
StyleLoss:updateOutput input 1: 11.607266426086 | |
StyleLoss:updateOutput output 1: 11.607266426086 | |
StyleLoss:updateGradInput input 1: 11.607266426086 | |
StyleLoss:updateOutput self.G 1: 870866560 | |
StyleLoss:updateOutput self.G 2: 2.4779016971588 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8426418996474e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7055850548786e-05 | |
dG 1: -0.00068628485314548 | |
dG 2: -1.9527064427233e-12 | |
--- | |
StyleLoss:updateOutput input 1: 84.989585876465 | |
StyleLoss:updateOutput output 1: 84.989585876465 | |
StyleLoss:updateGradInput input 1: 84.989585876465 | |
StyleLoss:updateOutput self.G 1: 11360462848 | |
StyleLoss:updateOutput self.G 2: 64.64852142334 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6346380894468e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.5523469452746e-05 | |
dG 1: -0.0074824928306043 | |
dG 2: -4.2580310805063e-11 | |
--- | |
StyleLoss:updateOutput input 1: 130.21752929688 | |
StyleLoss:updateOutput output 1: 130.21752929688 | |
StyleLoss:updateGradInput input 1: 130.21752929688 | |
StyleLoss:updateOutput self.G 1: 6638599168 | |
StyleLoss:updateOutput self.G 2: 75.489143371582 | |
StyleLoss:updateGradInput self.gradInput 1: -7.9298043687004e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.0318209105171e-05 | |
dG 1: -0.0014259656891227 | |
dG 2: -1.6215005033127e-11 | |
--- | |
StyleLoss:updateOutput input 1: 71.841957092285 | |
StyleLoss:updateOutput output 1: 71.841957092285 | |
StyleLoss:updateGradInput input 1: 71.841957092285 | |
StyleLoss:updateOutput self.G 1: 486304448 | |
StyleLoss:updateOutput self.G 2: 11.040231704712 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8249945554771e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0001160152387456 | |
dG 1: -9.632004366722e-05 | |
dG 2: -2.1866872462056e-12 | |
--- | |
StyleLoss:updateOutput input 1: 25.317356109619 | |
StyleLoss:updateOutput output 1: 25.317356109619 | |
StyleLoss:updateGradInput input 1: 25.317356109619 | |
StyleLoss:updateOutput self.G 1: 15394633 | |
StyleLoss:updateOutput self.G 2: 1.3930524587631 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0207265657227e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054124381858855 | |
dG 1: -2.4276727344841e-05 | |
dG 2: -2.1967885410062e-12 | |
--- | |
Iteration 13 / 2500 | |
Content 1 loss: 1061147.265625 | |
Style 1 loss: 31790.943146 | |
Style 2 loss: 37565865.234375 | |
Style 3 loss: 47468531.250000 | |
Style 4 loss: 3458041.992188 | |
Style 5 loss: 129133.289337 | |
Total loss: 89714509.974670 | |
optim value: -6.5035138130188 | |
--- | |
x1 value: -6.5035138130188 | |
gram updateOutput value: 2.4779016971588 | |
gram updateOutput value 2: 856299264 | |
gram updateOutput value: 64.64852142334 | |
gram updateOutput value 2: 11045510144 | |
gram updateOutput value: 75.489143371582 | |
gram updateOutput value 2: 6423248896 | |
gram updateOutput value: 11.040231704712 | |
gram updateOutput value 2: 469381856 | |
gram updateOutput value: 1.3930524587631 | |
gram updateOutput value 2: 14537055 | |
gram 1 value: -3.5883491733557e-08 | |
gram 2 value: -7.1766983467114e-08 | |
gram 3 value: -7.1766983467114e-08 | |
gram 1 value: -7.7706687307e-08 | |
gram 2 value: -1.55413374614e-07 | |
gram 3 value: -1.55413374614e-07 | |
gram 1 value: -4.5473080945158e-07 | |
gram 2 value: -9.0946161890315e-07 | |
gram 3 value: -9.0946161890315e-07 | |
gram 1 value: -5.081532776785e-07 | |
gram 2 value: -1.016306555357e-06 | |
gram 3 value: -1.016306555357e-06 | |
gram 1 value: -1.8253982769778e-09 | |
gram 2 value: -3.6507965539556e-09 | |
gram 3 value: -3.6507965539556e-09 | |
feval(x) grad value: 8.8330647147598e-18 | |
--- | |
StyleLoss:updateOutput input 1: 11.509203910828 | |
StyleLoss:updateOutput output 1: 11.509203910828 | |
StyleLoss:updateGradInput input 1: 11.509203910828 | |
StyleLoss:updateOutput self.G 1: 856299264 | |
StyleLoss:updateOutput self.G 2: 2.4364531040192 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8429243403849e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7057544027921e-05 | |
dG 1: -0.00070652354042977 | |
dG 2: -2.0102916727105e-12 | |
--- | |
StyleLoss:updateOutput input 1: 83.846366882324 | |
StyleLoss:updateOutput output 1: 83.846366882324 | |
StyleLoss:updateGradInput input 1: 83.846366882324 | |
StyleLoss:updateOutput self.G 1: 11045510144 | |
StyleLoss:updateOutput self.G 2: 62.856224060059 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6359530375971e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.5214026613394e-05 | |
dG 1: -0.0077012781985104 | |
dG 2: -4.3825335721559e-11 | |
--- | |
StyleLoss:updateOutput input 1: 128.15167236328 | |
StyleLoss:updateOutput output 1: 128.15167236328 | |
StyleLoss:updateGradInput input 1: 128.15167236328 | |
StyleLoss:updateOutput self.G 1: 6423248896 | |
StyleLoss:updateOutput self.G 2: 73.040336608887 | |
StyleLoss:updateGradInput self.gradInput 1: -8.2231927933663e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.2291303290986e-05 | |
dG 1: -0.0015006976900622 | |
dG 2: -1.7064802695921e-11 | |
--- | |
StyleLoss:updateOutput input 1: 70.584342956543 | |
StyleLoss:updateOutput output 1: 70.584342956543 | |
StyleLoss:updateGradInput input 1: 70.584342956543 | |
StyleLoss:updateOutput self.G 1: 469381856 | |
StyleLoss:updateOutput self.G 2: 10.656049728394 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8323328632164e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011652324610623 | |
dG 1: -9.9251119536348e-05 | |
dG 2: -2.2532292871802e-12 | |
--- | |
StyleLoss:updateOutput input 1: 24.603151321411 | |
StyleLoss:updateOutput output 1: 24.603151321411 | |
StyleLoss:updateGradInput input 1: 24.603151321411 | |
StyleLoss:updateOutput self.G 1: 14537055 | |
StyleLoss:updateOutput self.G 2: 1.315450668335 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0225768190066e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054135458776727 | |
dG 1: -2.4868782929843e-05 | |
dG 2: -2.2503637408383e-12 | |
--- | |
Iteration 14 / 2500 | |
Content 1 loss: 1026697.558594 | |
Style 1 loss: 33593.639374 | |
Style 2 loss: 39548853.515625 | |
Style 3 loss: 49419070.312500 | |
Style 4 loss: 3598629.272461 | |
Style 5 loss: 134744.922638 | |
Total loss: 93761589.221191 | |
optim value: -6.4518103599548 | |
--- | |
x1 value: -6.4518103599548 | |
gram updateOutput value: 2.4364531040192 | |
gram updateOutput value 2: 842950720 | |
gram updateOutput value: 62.856224060059 | |
gram updateOutput value 2: 10758091776 | |
gram updateOutput value: 73.040336608887 | |
gram updateOutput value 2: 6222419968 | |
gram updateOutput value: 10.656049728394 | |
gram updateOutput value 2: 453718464 | |
gram updateOutput value: 1.315450668335 | |
gram updateOutput value 2: 13752453 | |
gram 1 value: -3.5631988026807e-08 | |
gram 2 value: -7.1263976053615e-08 | |
gram 3 value: -7.1263976053615e-08 | |
gram 1 value: -7.7893488992231e-08 | |
gram 2 value: -1.5578697798446e-07 | |
gram 3 value: -1.5578697798446e-07 | |
gram 1 value: -4.7438555839108e-07 | |
gram 2 value: -9.4877111678215e-07 | |
gram 3 value: -9.4877111678215e-07 | |
gram 1 value: -5.1454338745316e-07 | |
gram 2 value: -1.0290867749063e-06 | |
gram 3 value: -1.0290867749063e-06 | |
gram 1 value: -1.8681889368821e-09 | |
gram 2 value: -3.7363778737642e-09 | |
gram 3 value: -3.7363778737642e-09 | |
feval(x) grad value: 7.9497575815393e-17 | |
--- | |
StyleLoss:updateOutput input 1: 11.417538642883 | |
StyleLoss:updateOutput output 1: 11.417538642883 | |
StyleLoss:updateGradInput input 1: 11.417538642883 | |
StyleLoss:updateOutput self.G 1: 842950720 | |
StyleLoss:updateOutput self.G 2: 2.3984723091125 | |
StyleLoss:updateGradInput self.gradInput 1: -2.843164814692e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7058988305507e-05 | |
dG 1: -0.00072506879223511 | |
dG 2: -2.0630593587645e-12 | |
--- | |
StyleLoss:updateOutput input 1: 82.780387878418 | |
StyleLoss:updateOutput output 1: 82.780387878418 | |
StyleLoss:updateGradInput input 1: 82.780387878418 | |
StyleLoss:updateOutput self.G 1: 10758091776 | |
StyleLoss:updateOutput self.G 2: 61.220630645752 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6370668133354e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.4902382796863e-05 | |
dG 1: -0.0079009355977178 | |
dG 2: -4.4961520617726e-11 | |
--- | |
StyleLoss:updateOutput input 1: 126.1962890625 | |
StyleLoss:updateOutput output 1: 126.1962890625 | |
StyleLoss:updateGradInput input 1: 126.1962890625 | |
StyleLoss:updateOutput self.G 1: 6222419968 | |
StyleLoss:updateOutput self.G 2: 70.756660461426 | |
StyleLoss:updateGradInput self.gradInput 1: -8.482111901742e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.4003641707823e-05 | |
dG 1: -0.0015703898388892 | |
dG 2: -1.7857288564516e-11 | |
--- | |
StyleLoss:updateOutput input 1: 69.397804260254 | |
StyleLoss:updateOutput output 1: 69.397804260254 | |
StyleLoss:updateGradInput input 1: 69.397804260254 | |
StyleLoss:updateOutput self.G 1: 453718464 | |
StyleLoss:updateOutput self.G 2: 10.300455093384 | |
StyleLoss:updateGradInput self.gradInput 1: -1.839373631185e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011696787987603 | |
dG 1: -0.00010196409857599 | |
dG 2: -2.314819776833e-12 | |
--- | |
StyleLoss:updateOutput input 1: 23.929559707642 | |
StyleLoss:updateOutput output 1: 23.929559707642 | |
StyleLoss:updateGradInput input 1: 23.929559707642 | |
StyleLoss:updateOutput self.G 1: 13752453 | |
StyleLoss:updateOutput self.G 2: 1.2444523572922 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0242636474613e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0005414558108896 | |
dG 1: -2.5410459784325e-05 | |
dG 2: -2.2993790031733e-12 | |
--- | |
Iteration 15 / 2500 | |
Content 1 loss: 995027.148438 | |
Style 1 loss: 35301.195145 | |
Style 2 loss: 41404995.117188 | |
Style 3 loss: 51284742.187500 | |
Style 4 loss: 3728646.972656 | |
Style 5 loss: 140000.541687 | |
Total loss: 97588713.162613 | |
optim value: -6.4010877609253 | |
--- | |
x1 value: -6.4010877609253 | |
gram updateOutput value: 2.3984723091125 | |
gram updateOutput value 2: 830666368 | |
gram updateOutput value: 61.220630645752 | |
gram updateOutput value 2: 10494921728 | |
gram updateOutput value: 70.756660461426 | |
gram updateOutput value 2: 6034869248 | |
gram updateOutput value: 10.300455093384 | |
gram updateOutput value 2: 439121600 | |
gram updateOutput value: 1.2444523572922 | |
gram updateOutput value 2: 13030011 | |
gram 1 value: -3.5331755299239e-08 | |
gram 2 value: -7.0663510598479e-08 | |
gram 3 value: -7.0663510598479e-08 | |
gram 1 value: -7.7996027414429e-08 | |
gram 2 value: -1.5599205482886e-07 | |
gram 3 value: -1.5599205482886e-07 | |
gram 1 value: -4.9207568508791e-07 | |
gram 2 value: -9.8415137017582e-07 | |
gram 3 value: -9.8415137017582e-07 | |
gram 1 value: -5.199675001677e-07 | |
gram 2 value: -1.0399350003354e-06 | |
gram 3 value: -1.0399350003354e-06 | |
gram 1 value: -1.9074399837393e-09 | |
gram 2 value: -3.8148799674786e-09 | |
gram 3 value: -3.8148799674786e-09 | |
feval(x) grad value: -1.748946747348e-16 | |
--- | |
StyleLoss:updateOutput input 1: 11.331592559814 | |
StyleLoss:updateOutput output 1: 11.331592559814 | |
StyleLoss:updateGradInput input 1: 11.331592559814 | |
StyleLoss:updateOutput self.G 1: 830666368 | |
StyleLoss:updateOutput self.G 2: 2.3635196685791 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8433779775128e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7060268874047e-05 | |
dG 1: -0.00074213574407622 | |
dG 2: -2.1116203403893e-12 | |
--- | |
StyleLoss:updateOutput input 1: 81.78385925293 | |
StyleLoss:updateOutput output 1: 81.78385925293 | |
StyleLoss:updateGradInput input 1: 81.78385925293 | |
StyleLoss:updateOutput self.G 1: 10494921728 | |
StyleLoss:updateOutput self.G 2: 59.723014831543 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6380349278129e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.4593853090191e-05 | |
dG 1: -0.0080837495625019 | |
dG 2: -4.6001858572398e-11 | |
--- | |
StyleLoss:updateOutput input 1: 124.34287261963 | |
StyleLoss:updateOutput output 1: 124.34287261963 | |
StyleLoss:updateGradInput input 1: 124.34287261963 | |
StyleLoss:updateOutput self.G 1: 6034869248 | |
StyleLoss:updateOutput self.G 2: 68.623970031738 | |
StyleLoss:updateGradInput self.gradInput 1: -8.7110754165565e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.5516127758892e-05 | |
dG 1: -0.001635474502109 | |
dG 2: -1.8597380579966e-11 | |
--- | |
StyleLoss:updateOutput input 1: 68.270683288574 | |
StyleLoss:updateOutput output 1: 68.270683288574 | |
StyleLoss:updateGradInput input 1: 68.270683288574 | |
StyleLoss:updateOutput self.G 1: 439121600 | |
StyleLoss:updateOutput self.G 2: 9.9690723419189 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8462429807187e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0001174142525997 | |
dG 1: -0.00010449234105181 | |
dG 2: -2.3722167893231e-12 | |
--- | |
StyleLoss:updateOutput input 1: 23.292593002319 | |
StyleLoss:updateOutput output 1: 23.292593002319 | |
StyleLoss:updateGradInput input 1: 23.292593002319 | |
StyleLoss:updateOutput self.G 1: 13030011 | |
StyleLoss:updateOutput self.G 2: 1.1790792942047 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0257977092278e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054154783720151 | |
dG 1: -2.5909212126862e-05 | |
dG 2: -2.3445121712096e-12 | |
--- | |
Iteration 16 / 2500 | |
Content 1 loss: 965745.312500 | |
Style 1 loss: 36921.426773 | |
Style 2 loss: 43143770.507812 | |
Style 3 loss: 53070949.218750 | |
Style 4 loss: 3849214.965820 | |
Style 5 loss: 144936.985016 | |
Total loss: 101211538.416672 | |
optim value: -6.3514180183411 | |
--- | |
x1 value: -6.3514180183411 | |
gram updateOutput value: 2.3635196685791 | |
gram updateOutput value 2: 819315776 | |
gram updateOutput value: 59.723014831543 | |
gram updateOutput value 2: 10253016064 | |
gram updateOutput value: 68.623970031738 | |
gram updateOutput value 2: 5859446784 | |
gram updateOutput value: 9.9690723419189 | |
gram updateOutput value 2: 425377344 | |
gram updateOutput value: 1.1790792942047 | |
gram updateOutput value 2: 12353885 | |
gram 1 value: -3.4990620179087e-08 | |
gram 2 value: -6.9981240358175e-08 | |
gram 3 value: -6.9981240358175e-08 | |
gram 1 value: -7.805424218077e-08 | |
gram 2 value: -1.5610848436154e-07 | |
gram 3 value: -1.5610848436154e-07 | |
gram 1 value: -5.0799735618057e-07 | |
gram 2 value: -1.0159947123611e-06 | |
gram 3 value: -1.0159947123611e-06 | |
gram 1 value: -5.2457301080722e-07 | |
gram 2 value: -1.0491460216144e-06 | |
gram 3 value: -1.0491460216144e-06 | |
gram 1 value: -1.943646799063e-09 | |
gram 2 value: -3.887293598126e-09 | |
gram 3 value: -3.887293598126e-09 | |
feval(x) grad value: -1.695948292885e-16 | |
--- | |
StyleLoss:updateOutput input 1: 11.250781059265 | |
StyleLoss:updateOutput output 1: 11.250781059265 | |
StyleLoss:updateGradInput input 1: 11.250781059265 | |
StyleLoss:updateOutput self.G 1: 819315776 | |
StyleLoss:updateOutput self.G 2: 2.3312230110168 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8435729326759e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7061438484234e-05 | |
dG 1: -0.00075790542177856 | |
dG 2: -2.156490264138e-12 | |
--- | |
StyleLoss:updateOutput input 1: 80.849151611328 | |
StyleLoss:updateOutput output 1: 80.849151611328 | |
StyleLoss:updateGradInput input 1: 80.849151611328 | |
StyleLoss:updateOutput self.G 1: 10253016064 | |
StyleLoss:updateOutput self.G 2: 58.346416473389 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6388862468282e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.4275893742451e-05 | |
dG 1: -0.0082517908886075 | |
dG 2: -4.6958117949636e-11 | |
--- | |
StyleLoss:updateOutput input 1: 122.58280181885 | |
StyleLoss:updateOutput output 1: 122.58280181885 | |
StyleLoss:updateGradInput input 1: 122.58280181885 | |
StyleLoss:updateOutput self.G 1: 5859446784 | |
StyleLoss:updateOutput self.G 2: 66.629219055176 | |
StyleLoss:updateGradInput self.gradInput 1: -8.914659233028e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.6830944231478e-05 | |
dG 1: -0.0016963494708762 | |
dG 2: -1.9289606370543e-11 | |
--- | |
StyleLoss:updateOutput input 1: 67.190292358398 | |
StyleLoss:updateOutput output 1: 67.190292358398 | |
StyleLoss:updateGradInput input 1: 67.190292358398 | |
StyleLoss:updateOutput self.G 1: 425377344 | |
StyleLoss:updateOutput self.G 2: 9.6570463180542 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8534525025871e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011791846191045 | |
dG 1: -0.00010687291069189 | |
dG 2: -2.4262614486958e-12 | |
--- | |
StyleLoss:updateOutput input 1: 22.681156158447 | |
StyleLoss:updateOutput output 1: 22.681156158447 | |
StyleLoss:updateGradInput input 1: 22.681156158447 | |
StyleLoss:updateOutput self.G 1: 12353885 | |
StyleLoss:updateOutput self.G 2: 1.117896437645 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0272621378062e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054163573076949 | |
dG 1: -2.6375999368611e-05 | |
dG 2: -2.3867507362857e-12 | |
--- | |
Iteration 17 / 2500 | |
Content 1 loss: 938576.660156 | |
Style 1 loss: 38463.214874 | |
Style 2 loss: 44775679.687500 | |
Style 3 loss: 54782296.875000 | |
Style 4 loss: 3961156.860352 | |
Style 5 loss: 149631.889343 | |
Total loss: 104645805.187225 | |
optim value: -6.3028678894043 | |
--- | |
x1 value: -6.3028678894043 | |
gram updateOutput value: 2.3312230110168 | |
gram updateOutput value 2: 808788864 | |
gram updateOutput value: 58.346416473389 | |
gram updateOutput value 2: 10029786112 | |
gram updateOutput value: 66.629219055176 | |
gram updateOutput value 2: 5695091200 | |
gram updateOutput value: 9.6570463180542 | |
gram updateOutput value 2: 412414112 | |
gram updateOutput value: 1.117896437645 | |
gram updateOutput value 2: 11723042 | |
gram 1 value: -3.4615613486721e-08 | |
gram 2 value: -6.9231226973443e-08 | |
gram 3 value: -6.9231226973443e-08 | |
gram 1 value: -7.8062988961847e-08 | |
gram 2 value: -1.5612597792369e-07 | |
gram 3 value: -1.5612597792369e-07 | |
gram 1 value: -5.2229682978577e-07 | |
gram 2 value: -1.0445936595715e-06 | |
gram 3 value: -1.0445936595715e-06 | |
gram 1 value: -5.284828148433e-07 | |
gram 2 value: -1.0569656296866e-06 | |
gram 3 value: -1.0569656296866e-06 | |
gram 1 value: -1.9771413395375e-09 | |
gram 2 value: -3.954282679075e-09 | |
gram 3 value: -3.954282679075e-09 | |
feval(x) grad value: -1.2012968012073e-16 | |
--- | |
StyleLoss:updateOutput input 1: 11.174562454224 | |
StyleLoss:updateOutput output 1: 11.174562454224 | |
StyleLoss:updateGradInput input 1: 11.174562454224 | |
StyleLoss:updateOutput self.G 1: 808788864 | |
StyleLoss:updateOutput self.G 2: 2.3012704849243 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8437494581368e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7062500774045e-05 | |
dG 1: -0.00077253056224436 | |
dG 2: -2.1981038950819e-12 | |
--- | |
StyleLoss:updateOutput input 1: 79.96955871582 | |
StyleLoss:updateOutput output 1: 79.96955871582 | |
StyleLoss:updateGradInput input 1: 79.96955871582 | |
StyleLoss:updateOutput self.G 1: 10029786112 | |
StyleLoss:updateOutput self.G 2: 57.076084136963 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6396438630202e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.3963467760477e-05 | |
dG 1: -0.0084068616852164 | |
dG 2: -4.7840568312418e-11 | |
--- | |
StyleLoss:updateOutput input 1: 120.90824127197 | |
StyleLoss:updateOutput output 1: 120.90824127197 | |
StyleLoss:updateGradInput input 1: 120.90824127197 | |
StyleLoss:updateOutput self.G 1: 5695091200 | |
StyleLoss:updateOutput self.G 2: 64.760284423828 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0958032217259e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.7971250498667e-05 | |
dG 1: -0.0017533849459141 | |
dG 2: -1.993816917123e-11 | |
--- | |
StyleLoss:updateOutput input 1: 66.15446472168 | |
StyleLoss:updateOutput output 1: 66.15446472168 | |
StyleLoss:updateGradInput input 1: 66.15446472168 | |
StyleLoss:updateOutput self.G 1: 412414112 | |
StyleLoss:updateOutput self.G 2: 9.3627500534058 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8605996743304e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011840245133499 | |
dG 1: -0.00010911821300397 | |
dG 2: -2.4772352138352e-12 | |
--- | |
StyleLoss:updateOutput input 1: 22.095590591431 | |
StyleLoss:updateOutput output 1: 22.095590591431 | |
StyleLoss:updateGradInput input 1: 22.095590591431 | |
StyleLoss:updateOutput self.G 1: 11723042 | |
StyleLoss:updateOutput self.G 2: 1.0608117580414 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0286384590854e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.000541718211025 | |
dG 1: -2.6811523639481e-05 | |
dG 2: -2.4261610515747e-12 | |
--- | |
Iteration 18 / 2500 | |
Content 1 loss: 913189.843750 | |
Style 1 loss: 39932.756424 | |
Style 2 loss: 46310583.984375 | |
Style 3 loss: 56425822.265625 | |
Style 4 loss: 4065719.604492 | |
Style 5 loss: 154078.868866 | |
Total loss: 107909327.323532 | |
optim value: -6.2554860115051 | |
--- | |
x1 value: -6.2554860115051 | |
gram updateOutput value: 2.3012704849243 | |
gram updateOutput value 2: 798983296 | |
gram updateOutput value: 57.076084136963 | |
gram updateOutput value 2: 9823035392 | |
gram updateOutput value: 64.760284423828 | |
gram updateOutput value 2: 5541367296 | |
gram updateOutput value: 9.3627500534058 | |
gram updateOutput value 2: 400235872 | |
gram updateOutput value: 1.0608117580414 | |
gram updateOutput value 2: 11137034 | |
gram 1 value: -3.4213286426166e-08 | |
gram 2 value: -6.8426572852331e-08 | |
gram 3 value: -6.8426572852331e-08 | |
gram 1 value: -7.80073179385e-08 | |
gram 2 value: -1.56014635877e-07 | |
gram 3 value: -1.56014635877e-07 | |
gram 1 value: -5.3503026720136e-07 | |
gram 2 value: -1.0700605344027e-06 | |
gram 3 value: -1.0700605344027e-06 | |
gram 1 value: -5.3179763881417e-07 | |
gram 2 value: -1.0635952776283e-06 | |
gram 3 value: -1.0635952776283e-06 | |
gram 1 value: -2.0082908669394e-09 | |
gram 2 value: -4.0165817338789e-09 | |
gram 3 value: -4.0165817338789e-09 | |
feval(x) grad value: 4.9465159093932e-17 | |
--- | |
StyleLoss:updateOutput input 1: 11.102458953857 | |
StyleLoss:updateOutput output 1: 11.102458953857 | |
StyleLoss:updateGradInput input 1: 11.102458953857 | |
StyleLoss:updateOutput self.G 1: 798983296 | |
StyleLoss:updateOutput self.G 2: 2.2733702659607 | |
StyleLoss:updateGradInput self.gradInput 1: -2.84391066252e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7063466657419e-05 | |
dG 1: -0.00078615383245051 | |
dG 2: -2.2368660743122e-12 | |
--- | |
StyleLoss:updateOutput input 1: 79.139335632324 | |
StyleLoss:updateOutput output 1: 79.139335632324 | |
StyleLoss:updateGradInput input 1: 79.139335632324 | |
StyleLoss:updateOutput self.G 1: 9823035392 | |
StyleLoss:updateOutput self.G 2: 55.899532318115 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6403188786192e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.3654319597408e-05 | |
dG 1: -0.0085504837334156 | |
dG 2: -4.8657876339231e-11 | |
--- | |
StyleLoss:updateOutput input 1: 119.31902313232 | |
StyleLoss:updateOutput output 1: 119.31902313232 | |
StyleLoss:updateGradInput input 1: 119.31902313232 | |
StyleLoss:updateOutput self.G 1: 5541367296 | |
StyleLoss:updateOutput self.G 2: 63.012252807617 | |
StyleLoss:updateGradInput self.gradInput 1: -9.2553085195846e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.8982630434912e-05 | |
dG 1: -0.0018067306373268 | |
dG 2: -2.0544770745756e-11 | |
--- | |
StyleLoss:updateOutput input 1: 65.164520263672 | |
StyleLoss:updateOutput output 1: 65.164520263672 | |
StyleLoss:updateGradInput input 1: 65.164520263672 | |
StyleLoss:updateOutput self.G 1: 400235872 | |
StyleLoss:updateOutput self.G 2: 9.0862770080566 | |
StyleLoss:updateGradInput self.gradInput 1: -1.867218379914e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011885028652614 | |
dG 1: -0.00011122751311632 | |
dG 2: -2.5251218217087e-12 | |
--- | |
StyleLoss:updateOutput input 1: 21.537351608276 | |
StyleLoss:updateOutput output 1: 21.537351608276 | |
StyleLoss:updateGradInput input 1: 21.537351608276 | |
StyleLoss:updateOutput self.G 1: 11137034 | |
StyleLoss:updateOutput self.G 2: 1.0077843666077 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0298215127405e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0005417893989943 | |
dG 1: -2.7216090529691e-05 | |
dG 2: -2.4627702221308e-12 | |
--- | |
Iteration 19 / 2500 | |
Content 1 loss: 889410.742188 | |
Style 1 loss: 41336.531639 | |
Style 2 loss: 47757228.515625 | |
Style 3 loss: 58008439.453125 | |
Style 4 loss: 4163928.955078 | |
Style 5 loss: 158272.087097 | |
Total loss: 111018616.284752 | |
optim value: -6.2093071937561 | |
--- | |
x1 value: -6.2093071937561 | |
gram updateOutput value: 2.2733702659607 | |
gram updateOutput value 2: 789817856 | |
gram updateOutput value: 55.899532318115 | |
gram updateOutput value 2: 9630915584 | |
gram updateOutput value: 63.012252807617 | |
gram updateOutput value 2: 5397215744 | |
gram updateOutput value: 9.0862770080566 | |
gram updateOutput value 2: 388747424 | |
gram updateOutput value: 1.0077843666077 | |
gram updateOutput value 2: 10594999 | |
gram 1 value: -3.3786914599432e-08 | |
gram 2 value: -6.7573829198864e-08 | |
gram 3 value: -6.7573829198864e-08 | |
gram 1 value: -7.7898448580527e-08 | |
gram 2 value: -1.5579689716105e-07 | |
gram 3 value: -1.5579689716105e-07 | |
gram 1 value: -5.4634699608869e-07 | |
gram 2 value: -1.0926939921774e-06 | |
gram 3 value: -1.0926939921774e-06 | |
gram 1 value: -5.3459893933905e-07 | |
gram 2 value: -1.0691978786781e-06 | |
gram 3 value: -1.0691978786781e-06 | |
gram 1 value: -2.037358282081e-09 | |
gram 2 value: -4.0747165641619e-09 | |
gram 3 value: -4.0747165641619e-09 | |
feval(x) grad value: 7.7730962872441e-17 | |
--- | |
StyleLoss:updateOutput input 1: 11.034057617188 | |
StyleLoss:updateOutput output 1: 11.034057617188 | |
StyleLoss:updateGradInput input 1: 11.034057617188 | |
StyleLoss:updateOutput self.G 1: 789817856 | |
StyleLoss:updateOutput self.G 2: 2.2472915649414 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8440592103607e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7064356143237e-05 | |
dG 1: -0.00079888757318258 | |
dG 2: -2.2730979425123e-12 | |
--- | |
StyleLoss:updateOutput input 1: 78.353507995605 | |
StyleLoss:updateOutput output 1: 78.353507995605 | |
StyleLoss:updateGradInput input 1: 78.353507995605 | |
StyleLoss:updateOutput self.G 1: 9630915584 | |
StyleLoss:updateOutput self.G 2: 54.806247711182 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6409228399446e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.3327974708518e-05 | |
dG 1: -0.0086839413270354 | |
dG 2: -4.9417338277014e-11 | |
--- | |
StyleLoss:updateOutput input 1: 117.80717468262 | |
StyleLoss:updateOutput output 1: 117.80717468262 | |
StyleLoss:updateGradInput input 1: 117.80717468262 | |
StyleLoss:updateOutput self.G 1: 5397215744 | |
StyleLoss:updateOutput self.G 2: 61.373062133789 | |
StyleLoss:updateGradInput self.gradInput 1: -9.3952481350357e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -5.9835394495167e-05 | |
dG 1: -0.0018567546503618 | |
dG 2: -2.1113607390211e-11 | |
--- | |
StyleLoss:updateOutput input 1: 64.214660644531 | |
StyleLoss:updateOutput output 1: 64.214660644531 | |
StyleLoss:updateGradInput input 1: 64.214660644531 | |
StyleLoss:updateOutput self.G 1: 388747424 | |
StyleLoss:updateOutput self.G 2: 8.82546043396 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8734759521521e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011921222903766 | |
dG 1: -0.00011321740748826 | |
dG 2: -2.5702964062679e-12 | |
--- | |
StyleLoss:updateOutput input 1: 21.006223678589 | |
StyleLoss:updateOutput output 1: 21.006223678589 | |
StyleLoss:updateGradInput input 1: 21.006223678589 | |
StyleLoss:updateOutput self.G 1: 10594999 | |
StyleLoss:updateOutput self.G 2: 0.95873618125916 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0307644029508e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054184574401006 | |
dG 1: -2.7590296667768e-05 | |
dG 2: -2.4966320243819e-12 | |
--- | |
Iteration 20 / 2500 | |
Content 1 loss: 867157.128906 | |
Style 1 loss: 42681.930542 | |
Style 2 loss: 49123400.390625 | |
Style 3 loss: 59536957.031250 | |
Style 4 loss: 4256465.698242 | |
Style 5 loss: 162216.693878 | |
Total loss: 113988878.873444 | |
optim value: -6.1643576622009 | |
--- | |
x1 value: -6.1643576622009 | |
gram updateOutput value: 2.2472915649414 | |
gram updateOutput value 2: 781219136 | |
gram updateOutput value: 54.806247711182 | |
gram updateOutput value 2: 9451826176 | |
gram updateOutput value: 61.373062133789 | |
gram updateOutput value 2: 5261818880 | |
gram updateOutput value: 8.82546043396 | |
gram updateOutput value 2: 377820224 | |
gram updateOutput value: 0.95873618125916 | |
gram updateOutput value 2: 10092200 | |
gram 1 value: -3.3343848571121e-08 | |
gram 2 value: -6.6687697142243e-08 | |
gram 3 value: -6.6687697142243e-08 | |
gram 1 value: -7.7745433202381e-08 | |
gram 2 value: -1.5549086640476e-07 | |
gram 3 value: -1.5549086640476e-07 | |
gram 1 value: -5.563888407778e-07 | |
gram 2 value: -1.1127776815556e-06 | |
gram 3 value: -1.1127776815556e-06 | |
gram 1 value: -5.3695788437835e-07 | |
gram 2 value: -1.0739157687567e-06 | |
gram 3 value: -1.0739157687567e-06 | |
gram 1 value: -2.0645998244362e-09 | |
gram 2 value: -4.1291996488724e-09 | |
gram 3 value: -4.1291996488724e-09 | |
feval(x) grad value: 1.2542951233214e-16 | |
--- | |
StyleLoss:updateOutput input 1: 10.969004631042 | |
StyleLoss:updateOutput output 1: 10.969004631042 | |
StyleLoss:updateGradInput input 1: 10.969004631042 | |
StyleLoss:updateOutput self.G 1: 781219136 | |
StyleLoss:updateOutput self.G 2: 2.2228255271912 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8442024291309e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7065212887246e-05 | |
dG 1: -0.00081083388067782 | |
dG 2: -2.3070891985028e-12 | |
--- | |
StyleLoss:updateOutput input 1: 77.608024597168 | |
StyleLoss:updateOutput output 1: 77.608024597168 | |
StyleLoss:updateGradInput input 1: 77.608024597168 | |
StyleLoss:updateOutput self.G 1: 9451826176 | |
StyleLoss:updateOutput self.G 2: 53.787109375 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6414650728698e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.2983225284843e-05 | |
dG 1: -0.00880834646523 | |
dG 2: -5.0125292805347e-11 | |
--- | |
StyleLoss:updateOutput input 1: 116.36687469482 | |
StyleLoss:updateOutput output 1: 116.36687469482 | |
StyleLoss:updateGradInput input 1: 116.36687469482 | |
StyleLoss:updateOutput self.G 1: 5261818880 | |
StyleLoss:updateOutput self.G 2: 59.833427429199 | |
StyleLoss:updateGradInput self.gradInput 1: -9.51751566447e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.0558326367754e-05 | |
dG 1: -0.0019037403399125 | |
dG 2: -2.1647900486088e-11 | |
--- | |
StyleLoss:updateOutput input 1: 63.29630279541 | |
StyleLoss:updateOutput output 1: 63.29630279541 | |
StyleLoss:updateGradInput input 1: 63.29630279541 | |
StyleLoss:updateOutput self.G 1: 377820224 | |
StyleLoss:updateOutput self.G 2: 8.5773906707764 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8794160894231e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00011955236550421 | |
dG 1: -0.00011511002958287 | |
dG 2: -2.6132637720444e-12 | |
--- | |
StyleLoss:updateOutput input 1: 20.500417709351 | |
StyleLoss:updateOutput output 1: 20.500417709351 | |
StyleLoss:updateGradInput input 1: 20.500417709351 | |
StyleLoss:updateOutput self.G 1: 10092200 | |
StyleLoss:updateOutput self.G 2: 0.91323775053024 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0315076306524e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054189038928598 | |
dG 1: -2.7937425329583e-05 | |
dG 2: -2.5280426623614e-12 | |
--- | |
Iteration 21 / 2500 | |
Content 1 loss: 846257.226562 | |
Style 1 loss: 43974.987030 | |
Style 2 loss: 50416242.187500 | |
Style 3 loss: 61013255.859375 | |
Style 4 loss: 4344143.554688 | |
Style 5 loss: 165926.582336 | |
Total loss: 116829800.397491 | |
optim value: -6.1206593513489 | |
--- | |
x1 value: -6.1206593513489 | |
gram updateOutput value: 2.2228255271912 | |
gram updateOutput value 2: 773130816 | |
gram updateOutput value: 53.787109375 | |
gram updateOutput value 2: 9284355072 | |
gram updateOutput value: 59.833427429199 | |
gram updateOutput value 2: 5134301184 | |
gram updateOutput value: 8.5773906707764 | |
gram updateOutput value 2: 367402592 | |
gram updateOutput value: 0.91323775053024 | |
gram updateOutput value 2: 9624832 | |
gram 1 value: -3.2887214729271e-08 | |
gram 2 value: -6.5774429458543e-08 | |
gram 3 value: -6.5774429458543e-08 | |
gram 1 value: -7.7549742627525e-08 | |
gram 2 value: -1.5509948525505e-07 | |
gram 3 value: -1.5509948525505e-07 | |
gram 1 value: -5.6529876246714e-07 | |
gram 2 value: -1.1305975249343e-06 | |
gram 3 value: -1.1305975249343e-06 | |
gram 1 value: -5.3893620588497e-07 | |
gram 2 value: -1.0778724117699e-06 | |
gram 3 value: -1.0778724117699e-06 | |
gram 1 value: -2.0901502750803e-09 | |
gram 2 value: -4.1803005501606e-09 | |
gram 3 value: -4.1803005501606e-09 | |
feval(x) grad value: 1.4486226132206e-16 | |
--- | |
StyleLoss:updateOutput input 1: 10.907011032104 | |
StyleLoss:updateOutput output 1: 10.907011032104 | |
StyleLoss:updateGradInput input 1: 10.907011032104 | |
StyleLoss:updateOutput self.G 1: 773130816 | |
StyleLoss:updateOutput self.G 2: 2.1998119354248 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8443347677154e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7066005966626e-05 | |
dG 1: -0.00082207098603249 | |
dG 2: -2.3390625374098e-12 | |
--- | |
StyleLoss:updateOutput input 1: 76.899337768555 | |
StyleLoss:updateOutput output 1: 76.899337768555 | |
StyleLoss:updateGradInput input 1: 76.899337768555 | |
StyleLoss:updateOutput self.G 1: 9284355072 | |
StyleLoss:updateOutput self.G 2: 52.834087371826 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6419509064654e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.2639676394174e-05 | |
dG 1: -0.0089246826246381 | |
dG 2: -5.0787311856038e-11 | |
--- | |
StyleLoss:updateOutput input 1: 114.9903793335 | |
StyleLoss:updateOutput output 1: 114.9903793335 | |
StyleLoss:updateGradInput input 1: 114.9903793335 | |
StyleLoss:updateOutput self.G 1: 5134301184 | |
StyleLoss:updateOutput self.G 2: 58.383399963379 | |
StyleLoss:updateGradInput self.gradInput 1: -9.6243688574305e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.1187238316052e-05 | |
dG 1: -0.001947992364876 | |
dG 2: -2.2151091724765e-11 | |
--- | |
StyleLoss:updateOutput input 1: 62.407291412354 | |
StyleLoss:updateOutput output 1: 62.407291412354 | |
StyleLoss:updateGradInput input 1: 62.407291412354 | |
StyleLoss:updateOutput self.G 1: 367402592 | |
StyleLoss:updateOutput self.G 2: 8.3408870697021 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8849855010217e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0001198613026645 | |
dG 1: -0.00011691441613948 | |
dG 2: -2.6542270985253e-12 | |
--- | |
StyleLoss:updateOutput input 1: 20.017362594604 | |
StyleLoss:updateOutput output 1: 20.017362594604 | |
StyleLoss:updateGradInput input 1: 20.017362594604 | |
StyleLoss:updateOutput self.G 1: 9624832 | |
StyleLoss:updateOutput self.G 2: 0.8709459900856 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0320618539863e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054192362586036 | |
dG 1: -2.8260084945941e-05 | |
dG 2: -2.5572402268664e-12 | |
--- | |
Iteration 22 / 2500 | |
Content 1 loss: 826661.816406 | |
Style 1 loss: 45217.723846 | |
Style 2 loss: 51642480.468750 | |
Style 3 loss: 62440201.171875 | |
Style 4 loss: 4427393.188477 | |
Style 5 loss: 169417.613983 | |
Total loss: 119551371.983337 | |
optim value: -6.0782251358032 | |
--- | |
x1 value: -6.0782251358032 | |
gram updateOutput value: 2.1998119354248 | |
gram updateOutput value 2: 765499584 | |
gram updateOutput value: 52.834087371826 | |
gram updateOutput value 2: 9127360512 | |
gram updateOutput value: 58.383399963379 | |
gram updateOutput value 2: 5013900288 | |
gram updateOutput value: 8.3408870697021 | |
gram updateOutput value 2: 357471648 | |
gram updateOutput value: 0.8709459900856 | |
gram updateOutput value 2: 9189750 | |
gram 1 value: -3.2419968931663e-08 | |
gram 2 value: -6.4839937863326e-08 | |
gram 3 value: -6.4839937863326e-08 | |
gram 1 value: -7.7315299051861e-08 | |
gram 2 value: -1.5463059810372e-07 | |
gram 3 value: -1.5463059810372e-07 | |
gram 1 value: -5.7318692370245e-07 | |
gram 2 value: -1.1463738474049e-06 | |
gram 3 value: -1.1463738474049e-06 | |
gram 1 value: -5.4058421028458e-07 | |
gram 2 value: -1.0811684205692e-06 | |
gram 3 value: -1.0811684205692e-06 | |
gram 1 value: -2.1142274597707e-09 | |
gram 2 value: -4.2284549195415e-09 | |
gram 3 value: -4.2284549195415e-09 | |
feval(x) grad value: -9.0097253473105e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.847840309143 | |
StyleLoss:updateOutput output 1: 10.847840309143 | |
StyleLoss:updateGradInput input 1: 10.847840309143 | |
StyleLoss:updateOutput self.G 1: 765499584 | |
StyleLoss:updateOutput self.G 2: 2.1780984401703 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8444575583819e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7066742657335e-05 | |
dG 1: -0.00083267339505255 | |
dG 2: -2.3692298123379e-12 | |
--- | |
StyleLoss:updateOutput input 1: 76.224624633789 | |
StyleLoss:updateOutput output 1: 76.224624633789 | |
StyleLoss:updateGradInput input 1: 76.224624633789 | |
StyleLoss:updateOutput self.G 1: 9127360512 | |
StyleLoss:updateOutput self.G 2: 51.940696716309 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6423887784263e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.2283001675969e-05 | |
dG 1: -0.009033739566803 | |
dG 2: -5.1407926526803e-11 | |
--- | |
StyleLoss:updateOutput input 1: 113.6713104248 | |
StyleLoss:updateOutput output 1: 113.6713104248 | |
StyleLoss:updateGradInput input 1: 113.6713104248 | |
StyleLoss:updateOutput self.G 1: 5013900288 | |
StyleLoss:updateOutput self.G 2: 57.014297485352 | |
StyleLoss:updateGradInput self.gradInput 1: -9.7180743452441e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.1718928918708e-05 | |
dG 1: -0.0019897737074643 | |
dG 2: -2.2626199525089e-11 | |
--- | |
StyleLoss:updateOutput input 1: 61.547435760498 | |
StyleLoss:updateOutput output 1: 61.547435760498 | |
StyleLoss:updateGradInput input 1: 61.547435760498 | |
StyleLoss:updateOutput self.G 1: 357471648 | |
StyleLoss:updateOutput self.G 2: 8.1154308319092 | |
StyleLoss:updateGradInput self.gradInput 1: -1.890116685388e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0001201649356517 | |
dG 1: -0.00011863448889926 | |
dG 2: -2.6932770250121e-12 | |
--- | |
StyleLoss:updateOutput input 1: 19.555618286133 | |
StyleLoss:updateOutput output 1: 19.555618286133 | |
StyleLoss:updateGradInput input 1: 19.555618286133 | |
StyleLoss:updateOutput self.G 1: 9189750 | |
StyleLoss:updateOutput self.G 2: 0.83157581090927 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0324604684611e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054194766562432 | |
dG 1: -2.8560454666149e-05 | |
dG 2: -2.5844211753306e-12 | |
--- | |
Iteration 23 / 2500 | |
Content 1 loss: 808283.593750 | |
Style 1 loss: 46416.512489 | |
Style 2 loss: 52807429.687500 | |
Style 3 loss: 63822580.078125 | |
Style 4 loss: 4506585.937500 | |
Style 5 loss: 172708.145142 | |
Total loss: 122164003.954506 | |
optim value: -6.0370650291443 | |
--- | |
x1 value: -6.0370650291443 | |
gram updateOutput value: 2.1780984401703 | |
gram updateOutput value 2: 758282880 | |
gram updateOutput value: 51.940696716309 | |
gram updateOutput value 2: 8979834880 | |
gram updateOutput value: 57.014297485352 | |
gram updateOutput value 2: 4900245504 | |
gram updateOutput value: 8.1154308319092 | |
gram updateOutput value 2: 348021152 | |
gram updateOutput value: 0.83157581090927 | |
gram updateOutput value 2: 8786960 | |
gram 1 value: -3.1951923773477e-08 | |
gram 2 value: -6.3903847546953e-08 | |
gram 3 value: -6.3903847546953e-08 | |
gram 1 value: -7.7043061708082e-08 | |
gram 2 value: -1.5408612341616e-07 | |
gram 3 value: -1.5408612341616e-07 | |
gram 1 value: -5.8011971759697e-07 | |
gram 2 value: -1.1602394351939e-06 | |
gram 3 value: -1.1602394351939e-06 | |
gram 1 value: -5.4194572385313e-07 | |
gram 2 value: -1.0838914477063e-06 | |
gram 3 value: -1.0838914477063e-06 | |
gram 1 value: -2.136951948728e-09 | |
gram 2 value: -4.273903897456e-09 | |
gram 3 value: -4.273903897456e-09 | |
feval(x) grad value: -6.7131291832174e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.79128742218 | |
StyleLoss:updateOutput output 1: 10.79128742218 | |
StyleLoss:updateGradInput input 1: 10.79128742218 | |
StyleLoss:updateOutput self.G 1: 758282880 | |
StyleLoss:updateOutput self.G 2: 2.157564163208 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8445696909074e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7067421140382e-05 | |
dG 1: -0.00084269978106022 | |
dG 2: -2.3977582072621e-12 | |
--- | |
StyleLoss:updateOutput input 1: 75.581199645996 | |
StyleLoss:updateOutput output 1: 75.581199645996 | |
StyleLoss:updateGradInput input 1: 75.581199645996 | |
StyleLoss:updateOutput self.G 1: 8979834880 | |
StyleLoss:updateOutput self.G 2: 51.101173400879 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6427835737338e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.1933133616112e-05 | |
dG 1: -0.0091362204402685 | |
dG 2: -5.1991105864957e-11 | |
--- | |
StyleLoss:updateOutput input 1: 112.40759277344 | |
StyleLoss:updateOutput output 1: 112.40759277344 | |
StyleLoss:updateGradInput input 1: 112.40759277344 | |
StyleLoss:updateOutput self.G 1: 4900245504 | |
StyleLoss:updateOutput self.G 2: 55.721885681152 | |
StyleLoss:updateGradInput self.gradInput 1: -9.8004218074266e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.2170402088668e-05 | |
dG 1: -0.0020292149856687 | |
dG 2: -2.3074700136738e-11 | |
--- | |
StyleLoss:updateOutput input 1: 60.717037200928 | |
StyleLoss:updateOutput output 1: 60.717037200928 | |
StyleLoss:updateGradInput input 1: 60.717037200928 | |
StyleLoss:updateOutput self.G 1: 348021152 | |
StyleLoss:updateOutput self.G 2: 7.9008822441101 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8948012936448e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012044627510477 | |
dG 1: -0.0001202713829116 | |
dG 2: -2.7304374039527e-12 | |
--- | |
StyleLoss:updateOutput input 1: 19.117782592773 | |
StyleLoss:updateOutput output 1: 19.117782592773 | |
StyleLoss:updateGradInput input 1: 19.117782592773 | |
StyleLoss:updateOutput self.G 1: 8786960 | |
StyleLoss:updateOutput self.G 2: 0.79512763023376 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0327318957861e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054196390556172 | |
dG 1: -2.8838536309195e-05 | |
dG 2: -2.6095842067114e-12 | |
--- | |
Iteration 24 / 2500 | |
Content 1 loss: 791028.515625 | |
Style 1 loss: 47572.594643 | |
Style 2 loss: 53915882.812500 | |
Style 3 loss: 65162894.531250 | |
Style 4 loss: 4581937.866211 | |
Style 5 loss: 175783.607483 | |
Total loss: 124675099.927711 | |
optim value: -5.9971776008606 | |
--- | |
x1 value: -5.9971776008606 | |
gram updateOutput value: 2.157564163208 | |
gram updateOutput value 2: 751448128 | |
gram updateOutput value: 51.101173400879 | |
gram updateOutput value 2: 8840943616 | |
gram updateOutput value: 55.721885681152 | |
gram updateOutput value 2: 4792698368 | |
gram updateOutput value: 7.9008822441101 | |
gram updateOutput value 2: 339045984 | |
gram updateOutput value: 0.79512763023376 | |
gram updateOutput value 2: 8411741 | |
gram 1 value: -3.148569405198e-08 | |
gram 2 value: -6.2971388103961e-08 | |
gram 3 value: -6.2971388103961e-08 | |
gram 1 value: -7.6740199972392e-08 | |
gram 2 value: -1.5348039994478e-07 | |
gram 3 value: -1.5348039994478e-07 | |
gram 1 value: -5.862050329597e-07 | |
gram 2 value: -1.1724100659194e-06 | |
gram 3 value: -1.1724100659194e-06 | |
gram 1 value: -5.4305746743921e-07 | |
gram 2 value: -1.0861149348784e-06 | |
gram 3 value: -1.0861149348784e-06 | |
gram 1 value: -2.1583905773781e-09 | |
gram 2 value: -4.3167811547562e-09 | |
gram 3 value: -4.3167811547562e-09 | |
feval(x) grad value: -1.1129660878853e-16 | |
--- | |
StyleLoss:updateOutput input 1: 10.73715877533 | |
StyleLoss:updateOutput output 1: 10.73715877533 | |
StyleLoss:updateGradInput input 1: 10.73715877533 | |
StyleLoss:updateOutput self.G 1: 751448128 | |
StyleLoss:updateOutput self.G 2: 2.1381168365479 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8446729416487e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7068041415769e-05 | |
dG 1: -0.00085219537140802 | |
dG 2: -2.42477630856e-12 | |
--- | |
StyleLoss:updateOutput input 1: 74.967071533203 | |
StyleLoss:updateOutput output 1: 74.967071533203 | |
StyleLoss:updateGradInput input 1: 74.967071533203 | |
StyleLoss:updateOutput self.G 1: 8840943616 | |
StyleLoss:updateOutput self.G 2: 50.310791015625 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6431428419046e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.1560735553503e-05 | |
dG 1: -0.0092327017337084 | |
dG 2: -5.2540152783997e-11 | |
--- | |
StyleLoss:updateOutput input 1: 111.19423675537 | |
StyleLoss:updateOutput output 1: 111.19423675537 | |
StyleLoss:updateGradInput input 1: 111.19423675537 | |
StyleLoss:updateOutput self.G 1: 4792698368 | |
StyleLoss:updateOutput self.G 2: 54.498931884766 | |
StyleLoss:updateGradInput self.gradInput 1: -9.8735011277995e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.2527433328796e-05 | |
dG 1: -0.0020665361080319 | |
dG 2: -2.3499088092072e-11 | |
--- | |
StyleLoss:updateOutput input 1: 59.916954040527 | |
StyleLoss:updateOutput output 1: 59.916954040527 | |
StyleLoss:updateGradInput input 1: 59.916954040527 | |
StyleLoss:updateOutput self.G 1: 339045984 | |
StyleLoss:updateOutput self.G 2: 7.697126865387 | |
StyleLoss:updateGradInput self.gradInput 1: -1.8990306216438e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012070584489265 | |
dG 1: -0.00012182591308374 | |
dG 2: -2.7657294857097e-12 | |
--- | |
StyleLoss:updateOutput input 1: 18.700895309448 | |
StyleLoss:updateOutput output 1: 18.700895309448 | |
StyleLoss:updateGradInput input 1: 18.700895309448 | |
StyleLoss:updateOutput self.G 1: 8411741 | |
StyleLoss:updateOutput self.G 2: 0.76117414236069 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0329237423248e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054197548888624 | |
dG 1: -2.9097578590154e-05 | |
dG 2: -2.6330255250423e-12 | |
--- | |
Iteration 25 / 2500 | |
Content 1 loss: 774765.576172 | |
Style 1 loss: 48686.439514 | |
Style 2 loss: 54971794.921875 | |
Style 3 loss: 66463376.953125 | |
Style 4 loss: 4653438.720703 | |
Style 5 loss: 178667.587280 | |
Total loss: 127090730.198669 | |
optim value: -5.9585447311401 | |
--- | |
x1 value: -5.9585447311401 | |
gram updateOutput value: 2.1381168365479 | |
gram updateOutput value 2: 744956544 | |
gram updateOutput value: 50.310791015625 | |
gram updateOutput value 2: 8709948416 | |
gram updateOutput value: 54.498931884766 | |
gram updateOutput value 2: 4690689536 | |
gram updateOutput value: 7.697126865387 | |
gram updateOutput value 2: 330454816 | |
gram updateOutput value: 0.76117414236069 | |
gram updateOutput value 2: 8059456 | |
gram 1 value: -3.1019773416574e-08 | |
gram 2 value: -6.2039546833148e-08 | |
gram 3 value: -6.2039546833148e-08 | |
gram 1 value: -7.6410742622102e-08 | |
gram 2 value: -1.528214852442e-07 | |
gram 3 value: -1.528214852442e-07 | |
gram 1 value: -5.9154064047107e-07 | |
gram 2 value: -1.1830812809421e-06 | |
gram 3 value: -1.1830812809421e-06 | |
gram 1 value: -5.4395229653892e-07 | |
gram 2 value: -1.0879045930778e-06 | |
gram 3 value: -1.0879045930778e-06 | |
gram 1 value: -2.1787325277245e-09 | |
gram 2 value: -4.357465055449e-09 | |
gram 3 value: -4.357465055449e-09 | |
feval(x) grad value: 1.9079418460392e-16 | |
--- | |
StyleLoss:updateOutput input 1: 10.685289382935 | |
StyleLoss:updateOutput output 1: 10.685289382935 | |
StyleLoss:updateGradInput input 1: 10.685289382935 | |
StyleLoss:updateOutput self.G 1: 744956544 | |
StyleLoss:updateOutput self.G 2: 2.1196463108063 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8447697530964e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7068621673388e-05 | |
dG 1: -0.00086121429922059 | |
dG 2: -2.4504382897805e-12 | |
--- | |
StyleLoss:updateOutput input 1: 74.380310058594 | |
StyleLoss:updateOutput output 1: 74.380310058594 | |
StyleLoss:updateGradInput input 1: 74.380310058594 | |
StyleLoss:updateOutput self.G 1: 8709948416 | |
StyleLoss:updateOutput self.G 2: 49.565338134766 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6434728001875e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.1193638026016e-05 | |
dG 1: -0.0093236993998289 | |
dG 2: -5.3057981619364e-11 | |
--- | |
StyleLoss:updateOutput input 1: 110.02681732178 | |
StyleLoss:updateOutput output 1: 110.02681732178 | |
StyleLoss:updateGradInput input 1: 110.02681732178 | |
StyleLoss:updateOutput self.G 1: 4690689536 | |
StyleLoss:updateOutput self.G 2: 53.338973999023 | |
StyleLoss:updateGradInput self.gradInput 1: -9.938709411017e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.2845043430571e-05 | |
dG 1: -0.0021019352134317 | |
dG 2: -2.3901618531608e-11 | |
--- | |
StyleLoss:updateOutput input 1: 59.140773773193 | |
StyleLoss:updateOutput output 1: 59.140773773193 | |
StyleLoss:updateGradInput input 1: 59.140773773193 | |
StyleLoss:updateOutput self.G 1: 330454816 | |
StyleLoss:updateOutput self.G 2: 7.5020866394043 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9029020137395e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012091862299712 | |
dG 1: -0.00012331394827925 | |
dG 2: -2.799511057e-12 | |
--- | |
StyleLoss:updateOutput input 1: 18.300271987915 | |
StyleLoss:updateOutput output 1: 18.300271987915 | |
StyleLoss:updateGradInput input 1: 18.300271987915 | |
StyleLoss:updateOutput self.G 1: 8059456 | |
StyleLoss:updateOutput self.G 2: 0.72929602861404 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0330708246711e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054198422003537 | |
dG 1: -2.9340790206334e-05 | |
dG 2: -2.6550330944203e-12 | |
--- | |
Iteration 26 / 2500 | |
Content 1 loss: 759345.947266 | |
Style 1 loss: 49766.046524 | |
Style 2 loss: 55978623.046875 | |
Style 3 loss: 67725263.671875 | |
Style 4 loss: 4721594.604492 | |
Style 5 loss: 181387.664795 | |
Total loss: 129415980.981827 | |
optim value: -5.9211397171021 | |
--- | |
x1 value: -5.9211397171021 | |
gram updateOutput value: 2.1196463108063 | |
gram updateOutput value 2: 738778368 | |
gram updateOutput value: 49.565338134766 | |
gram updateOutput value 2: 8586222080 | |
gram updateOutput value: 53.338973999023 | |
gram updateOutput value 2: 4593895424 | |
gram updateOutput value: 7.5020866394043 | |
gram updateOutput value 2: 322251520 | |
gram updateOutput value: 0.72929602861404 | |
gram updateOutput value 2: 7727339 | |
gram 1 value: -3.0553483298945e-08 | |
gram 2 value: -6.110696659789e-08 | |
gram 3 value: -6.110696659789e-08 | |
gram 1 value: -7.6054341491272e-08 | |
gram 2 value: -1.5210868298254e-07 | |
gram 3 value: -1.5210868298254e-07 | |
gram 1 value: -5.9620430192808e-07 | |
gram 2 value: -1.1924086038562e-06 | |
gram 3 value: -1.1924086038562e-06 | |
gram 1 value: -5.4465886023536e-07 | |
gram 2 value: -1.0893177204707e-06 | |
gram 3 value: -1.0893177204707e-06 | |
gram 1 value: -2.1980659514753e-09 | |
gram 2 value: -4.3961319029506e-09 | |
gram 3 value: -4.3961319029506e-09 | |
feval(x) grad value: -3.7098871801991e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.635514259338 | |
StyleLoss:updateOutput output 1: 10.635514259338 | |
StyleLoss:updateGradInput input 1: 10.635514259338 | |
StyleLoss:updateOutput self.G 1: 738778368 | |
StyleLoss:updateOutput self.G 2: 2.1020674705505 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8448574607154e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7069147361326e-05 | |
dG 1: -0.00086979765910655 | |
dG 2: -2.4748605942371e-12 | |
--- | |
StyleLoss:updateOutput input 1: 73.819213867188 | |
StyleLoss:updateOutput output 1: 73.819213867188 | |
StyleLoss:updateGradInput input 1: 73.819213867188 | |
StyleLoss:updateOutput self.G 1: 8586222080 | |
StyleLoss:updateOutput self.G 2: 48.861255645752 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6437801099207e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.0820410504239e-05 | |
dG 1: -0.0094096483662724 | |
dG 2: -5.3547090372863e-11 | |
--- | |
StyleLoss:updateOutput input 1: 108.90405273438 | |
StyleLoss:updateOutput output 1: 108.90405273438 | |
StyleLoss:updateGradInput input 1: 108.90405273438 | |
StyleLoss:updateOutput self.G 1: 4593895424 | |
StyleLoss:updateOutput self.G 2: 52.238304138184 | |
StyleLoss:updateGradInput self.gradInput 1: -9.9970467459798e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3108382164501e-05 | |
dG 1: -0.0021355249918997 | |
dG 2: -2.4283578620166e-11 | |
--- | |
StyleLoss:updateOutput input 1: 58.390239715576 | |
StyleLoss:updateOutput output 1: 58.390239715576 | |
StyleLoss:updateGradInput input 1: 58.390239715576 | |
StyleLoss:updateOutput self.G 1: 322251520 | |
StyleLoss:updateOutput self.G 2: 7.315854549408 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9063000067376e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012109698582208 | |
dG 1: -0.00012473479728214 | |
dG 2: -2.831767806355e-12 | |
--- | |
StyleLoss:updateOutput input 1: 17.913663864136 | |
StyleLoss:updateOutput output 1: 17.913663864136 | |
StyleLoss:updateGradInput input 1: 17.913663864136 | |
StyleLoss:updateOutput self.G 1: 7727339 | |
StyleLoss:updateOutput self.G 2: 0.69924312829971 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0331532476284e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054198916768655 | |
dG 1: -2.9570073820651e-05 | |
dG 2: -2.6757808208738e-12 | |
--- | |
Iteration 27 / 2500 | |
Content 1 loss: 744754.687500 | |
Style 1 loss: 50812.500000 | |
Style 2 loss: 56938992.187500 | |
Style 3 loss: 68948320.312500 | |
Style 4 loss: 4786710.937500 | |
Style 5 loss: 183966.110229 | |
Total loss: 131653556.735229 | |
optim value: -5.8849315643311 | |
--- | |
x1 value: -5.8849315643311 | |
gram updateOutput value: 2.1020674705505 | |
gram updateOutput value 2: 732889408 | |
gram updateOutput value: 48.861255645752 | |
gram updateOutput value 2: 8469186048 | |
gram updateOutput value: 52.238304138184 | |
gram updateOutput value 2: 4501938688 | |
gram updateOutput value: 7.315854549408 | |
gram updateOutput value 2: 314380896 | |
gram updateOutput value: 0.69924312829971 | |
gram updateOutput value 2: 7411979 | |
gram 1 value: -3.0087161206893e-08 | |
gram 2 value: -6.0174322413786e-08 | |
gram 3 value: -6.0174322413786e-08 | |
gram 1 value: -7.5671891863749e-08 | |
gram 2 value: -1.513437837275e-07 | |
gram 3 value: -1.513437837275e-07 | |
gram 1 value: -6.0026479786757e-07 | |
gram 2 value: -1.2005295957351e-06 | |
gram 3 value: -1.2005295957351e-06 | |
gram 1 value: -5.4520216963283e-07 | |
gram 2 value: -1.0904043392657e-06 | |
gram 3 value: -1.0904043392657e-06 | |
gram 1 value: -2.2164963198179e-09 | |
gram 2 value: -4.4329926396358e-09 | |
gram 3 value: -4.4329926396358e-09 | |
feval(x) grad value: 1.2366289773483e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.587713241577 | |
StyleLoss:updateOutput output 1: 10.587713241577 | |
StyleLoss:updateGradInput input 1: 10.587713241577 | |
StyleLoss:updateOutput self.G 1: 732889408 | |
StyleLoss:updateOutput self.G 2: 2.0853116512299 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8449367306393e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7069618479582e-05 | |
dG 1: -0.00087797932792455 | |
dG 2: -2.4981397159229e-12 | |
--- | |
StyleLoss:updateOutput input 1: 73.282135009766 | |
StyleLoss:updateOutput output 1: 73.282135009766 | |
StyleLoss:updateGradInput input 1: 73.282135009766 | |
StyleLoss:updateOutput self.G 1: 8469186048 | |
StyleLoss:updateOutput self.G 2: 48.195243835449 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6440714324424e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.0444741898682e-05 | |
dG 1: -0.0094909472391009 | |
dG 2: -5.4009744593353e-11 | |
--- | |
StyleLoss:updateOutput input 1: 107.82291412354 | |
StyleLoss:updateOutput output 1: 107.82291412354 | |
StyleLoss:updateGradInput input 1: 107.82291412354 | |
StyleLoss:updateOutput self.G 1: 4501938688 | |
StyleLoss:updateOutput self.G 2: 51.192630767822 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0049395982037e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3322557252832e-05 | |
dG 1: -0.0021674367599189 | |
dG 2: -2.4646449811594e-11 | |
--- | |
StyleLoss:updateOutput input 1: 57.661464691162 | |
StyleLoss:updateOutput output 1: 57.661464691162 | |
StyleLoss:updateGradInput input 1: 57.661464691162 | |
StyleLoss:updateOutput self.G 1: 314380896 | |
StyleLoss:updateOutput self.G 2: 7.1371712684631 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9092183833891e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012124654313084 | |
dG 1: -0.00012609803525265 | |
dG 2: -2.8627167910494e-12 | |
--- | |
StyleLoss:updateOutput input 1: 17.538593292236 | |
StyleLoss:updateOutput output 1: 17.538593292236 | |
StyleLoss:updateGradInput input 1: 17.538593292236 | |
StyleLoss:updateOutput self.G 1: 7411979 | |
StyleLoss:updateOutput self.G 2: 0.67070627212524 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0332250124447e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054199359146878 | |
dG 1: -2.9787794119329e-05 | |
dG 2: -2.6954818585501e-12 | |
--- | |
Iteration 28 / 2500 | |
Content 1 loss: 730892.919922 | |
Style 1 loss: 51829.319000 | |
Style 2 loss: 57855603.515625 | |
Style 3 loss: 70133296.875000 | |
Style 4 loss: 4849341.064453 | |
Style 5 loss: 186422.138214 | |
Total loss: 133807385.832214 | |
optim value: -5.8498849868774 | |
--- | |
x1 value: -5.8498849868774 | |
gram updateOutput value: 2.0853116512299 | |
gram updateOutput value 2: 727271488 | |
gram updateOutput value: 48.195243835449 | |
gram updateOutput value 2: 8358336512 | |
gram updateOutput value: 51.192630767822 | |
gram updateOutput value 2: 4414414848 | |
gram updateOutput value: 7.1371712684631 | |
gram updateOutput value 2: 306847392 | |
gram updateOutput value: 0.67070627212524 | |
gram updateOutput value 2: 7113817 | |
gram 1 value: -2.9623425490399e-08 | |
gram 2 value: -5.9246850980799e-08 | |
gram 3 value: -5.9246850980799e-08 | |
gram 1 value: -7.5269468879924e-08 | |
gram 2 value: -1.5053893775985e-07 | |
gram 3 value: -1.5053893775985e-07 | |
gram 1 value: -6.0378260968719e-07 | |
gram 2 value: -1.2075652193744e-06 | |
gram 3 value: -1.2075652193744e-06 | |
gram 1 value: -5.456038252305e-07 | |
gram 2 value: -1.091207650461e-06 | |
gram 3 value: -1.091207650461e-06 | |
gram 1 value: -2.2340611582905e-09 | |
gram 2 value: -4.468122316581e-09 | |
gram 3 value: -4.468122316581e-09 | |
feval(x) grad value: 8.1264188758345e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.541768074036 | |
StyleLoss:updateOutput output 1: 10.541768074036 | |
StyleLoss:updateGradInput input 1: 10.541768074036 | |
StyleLoss:updateOutput self.G 1: 727271488 | |
StyleLoss:updateOutput self.G 2: 2.0693266391754 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8450084510467e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.707004958007e-05 | |
dG 1: -0.00088578450959176 | |
dG 2: -2.5203480795433e-12 | |
--- | |
StyleLoss:updateOutput input 1: 72.76774597168 | |
StyleLoss:updateOutput output 1: 72.76774597168 | |
StyleLoss:updateGradInput input 1: 72.76774597168 | |
StyleLoss:updateOutput self.G 1: 8358336512 | |
StyleLoss:updateOutput self.G 2: 47.564430236816 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6443512086446e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -4.0056220314e-05 | |
dG 1: -0.0095679527148604 | |
dG 2: -5.4447939212832e-11 | |
--- | |
StyleLoss:updateOutput input 1: 106.78031921387 | |
StyleLoss:updateOutput output 1: 106.78031921387 | |
StyleLoss:updateGradInput input 1: 106.78031921387 | |
StyleLoss:updateOutput self.G 1: 4414414848 | |
StyleLoss:updateOutput self.G 2: 50.19739151001 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0096455227426e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3487204897683e-05 | |
dG 1: -0.0021978092845529 | |
dG 2: -2.4991819377873e-11 | |
--- | |
StyleLoss:updateOutput input 1: 56.954917907715 | |
StyleLoss:updateOutput output 1: 56.954917907715 | |
StyleLoss:updateGradInput input 1: 56.954917907715 | |
StyleLoss:updateOutput self.G 1: 306847392 | |
StyleLoss:updateOutput self.G 2: 6.9661436080933 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9117871730145e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012137300655013 | |
dG 1: -0.00012740287638735 | |
dG 2: -2.8923391459657e-12 | |
--- | |
StyleLoss:updateOutput input 1: 17.1764087677 | |
StyleLoss:updateOutput output 1: 17.1764087677 | |
StyleLoss:updateGradInput input 1: 17.1764087677 | |
StyleLoss:updateOutput self.G 1: 7113817 | |
StyleLoss:updateOutput self.G 2: 0.64372551441193 | |
StyleLoss:updateGradInput self.gradInput 1: -9.033272618808e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054199644364417 | |
dG 1: -2.9993638236192e-05 | |
dG 2: -2.7141091023947e-12 | |
--- | |
Iteration 29 / 2500 | |
Content 1 loss: 717856.591797 | |
Style 1 loss: 52817.350388 | |
Style 2 loss: 58730876.953125 | |
Style 3 loss: 71282320.312500 | |
Style 4 loss: 4909262.695312 | |
Style 5 loss: 188752.681732 | |
Total loss: 135881886.584854 | |
optim value: -5.8159685134888 | |
--- | |
x1 value: -5.8159685134888 | |
gram updateOutput value: 2.0693266391754 | |
gram updateOutput value 2: 721908160 | |
gram updateOutput value: 47.564430236816 | |
gram updateOutput value 2: 8253205504 | |
gram updateOutput value: 50.19739151001 | |
gram updateOutput value 2: 4331024384 | |
gram updateOutput value: 6.9661436080933 | |
gram updateOutput value 2: 299658912 | |
gram updateOutput value: 0.64372551441193 | |
gram updateOutput value 2: 6832740 | |
gram 1 value: -2.9165672543741e-08 | |
gram 2 value: -5.8331345087481e-08 | |
gram 3 value: -5.8331345087481e-08 | |
gram 1 value: -7.4853744536085e-08 | |
gram 2 value: -1.4970748907217e-07 | |
gram 3 value: -1.4970748907217e-07 | |
gram 1 value: -6.06810942827e-07 | |
gram 2 value: -1.213621885654e-06 | |
gram 3 value: -1.213621885654e-06 | |
gram 1 value: -5.4588196007899e-07 | |
gram 2 value: -1.091763920158e-06 | |
gram 3 value: -1.091763920158e-06 | |
gram 1 value: -2.250783559532e-09 | |
gram 2 value: -4.501567119064e-09 | |
gram 3 value: -4.501567119064e-09 | |
feval(x) grad value: 5.2998384152655e-18 | |
--- | |
StyleLoss:updateOutput input 1: 10.49757194519 | |
StyleLoss:updateOutput output 1: 10.49757194519 | |
StyleLoss:updateGradInput input 1: 10.49757194519 | |
StyleLoss:updateOutput self.G 1: 721908160 | |
StyleLoss:updateOutput self.G 2: 2.0540664196014 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8450708455807e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7070422472898e-05 | |
dG 1: -0.00089323578868061 | |
dG 2: -2.5415498698667e-12 | |
--- | |
StyleLoss:updateOutput input 1: 72.274635314941 | |
StyleLoss:updateOutput output 1: 72.274635314941 | |
StyleLoss:updateGradInput input 1: 72.274635314941 | |
StyleLoss:updateOutput self.G 1: 8253205504 | |
StyleLoss:updateOutput self.G 2: 46.966171264648 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6446216589734e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.9667829696555e-05 | |
dG 1: -0.0096409814432263 | |
dG 2: -5.4863523446524e-11 | |
--- | |
StyleLoss:updateOutput input 1: 105.7741394043 | |
StyleLoss:updateOutput output 1: 105.7741394043 | |
StyleLoss:updateGradInput input 1: 105.7741394043 | |
StyleLoss:updateOutput self.G 1: 4331024384 | |
StyleLoss:updateOutput self.G 2: 49.249141693115 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0138895056855e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3614148530178e-05 | |
dG 1: -0.0022267473395914 | |
dG 2: -2.5320884278202e-11 | |
--- | |
StyleLoss:updateOutput input 1: 56.272388458252 | |
StyleLoss:updateOutput output 1: 56.272388458252 | |
StyleLoss:updateGradInput input 1: 56.272388458252 | |
StyleLoss:updateOutput self.G 1: 299658912 | |
StyleLoss:updateOutput self.G 2: 6.802948474884 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9140731666312e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012148320820415 | |
dG 1: -0.0001286479528062 | |
dG 2: -2.9206053808045e-12 | |
--- | |
StyleLoss:updateOutput input 1: 16.82758140564 | |
StyleLoss:updateOutput output 1: 16.82758140564 | |
StyleLoss:updateGradInput input 1: 16.82758140564 | |
StyleLoss:updateOutput self.G 1: 6832740 | |
StyleLoss:updateOutput self.G 2: 0.61829107999802 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0333280411414e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054199964506552 | |
dG 1: -3.0187689844752e-05 | |
dG 2: -2.7316686239398e-12 | |
--- | |
Iteration 30 / 2500 | |
Content 1 loss: 705596.435547 | |
Style 1 loss: 53774.208069 | |
Style 2 loss: 59567267.578125 | |
Style 3 loss: 72396398.437500 | |
Style 4 loss: 4966305.175781 | |
Style 5 loss: 190952.590942 | |
Total loss: 137880294.425964 | |
optim value: -5.7831435203552 | |
--- | |
x1 value: -5.7831435203552 | |
gram updateOutput value: 2.0540664196014 | |
gram updateOutput value 2: 716777600 | |
gram updateOutput value: 46.966171264648 | |
gram updateOutput value 2: 8153418752 | |
gram updateOutput value: 49.249141693115 | |
gram updateOutput value 2: 4251462656 | |
gram updateOutput value: 6.802948474884 | |
gram updateOutput value 2: 292753984 | |
gram updateOutput value: 0.61829107999802 | |
gram updateOutput value 2: 6568505.5 | |
gram 1 value: -2.8715815503233e-08 | |
gram 2 value: -5.7431631006466e-08 | |
gram 3 value: -5.7431631006466e-08 | |
gram 1 value: -7.4435575925236e-08 | |
gram 2 value: -1.4887115185047e-07 | |
gram 3 value: -1.4887115185047e-07 | |
gram 1 value: -6.0941044921492e-07 | |
gram 2 value: -1.2188208984298e-06 | |
gram 3 value: -1.2188208984298e-06 | |
gram 1 value: -5.4605277455266e-07 | |
gram 2 value: -1.0921055491053e-06 | |
gram 3 value: -1.0921055491053e-06 | |
gram 1 value: -2.2667934196363e-09 | |
gram 2 value: -4.5335868392726e-09 | |
gram 3 value: -4.5335868392726e-09 | |
feval(x) grad value: 3.1799032973135e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.455035209656 | |
StyleLoss:updateOutput output 1: 10.455035209656 | |
StyleLoss:updateGradInput input 1: 10.455035209656 | |
StyleLoss:updateOutput self.G 1: 716777600 | |
StyleLoss:updateOutput self.G 2: 2.0394680500031 | |
StyleLoss:updateGradInput self.gradInput 1: -2.845126356732e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7070758985938e-05 | |
dG 1: -0.00090036366600543 | |
dG 2: -2.561831389386e-12 | |
--- | |
StyleLoss:updateOutput input 1: 71.801765441895 | |
StyleLoss:updateOutput output 1: 71.801765441895 | |
StyleLoss:updateGradInput input 1: 71.801765441895 | |
StyleLoss:updateOutput self.G 1: 8153418752 | |
StyleLoss:updateOutput self.G 2: 46.398315429688 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6448836716072e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.9260357880266e-05 | |
dG 1: -0.0097102988511324 | |
dG 2: -5.5257989156621e-11 | |
--- | |
StyleLoss:updateOutput input 1: 104.8023147583 | |
StyleLoss:updateOutput output 1: 104.8023147583 | |
StyleLoss:updateGradInput input 1: 104.8023147583 | |
StyleLoss:updateOutput self.G 1: 4251462656 | |
StyleLoss:updateOutput self.G 2: 48.344413757324 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0177303444436e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3708459492773e-05 | |
dG 1: -0.0022543570958078 | |
dG 2: -2.5634844941225e-11 | |
--- | |
StyleLoss:updateOutput input 1: 55.609001159668 | |
StyleLoss:updateOutput output 1: 55.609001159668 | |
StyleLoss:updateGradInput input 1: 55.609001159668 | |
StyleLoss:updateOutput self.G 1: 292753984 | |
StyleLoss:updateOutput self.G 2: 6.6461915969849 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9163362452446e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012159724428784 | |
dG 1: -0.00012984391651116 | |
dG 2: -2.9477570558101e-12 | |
--- | |
StyleLoss:updateOutput input 1: 16.492895126343 | |
StyleLoss:updateOutput output 1: 16.492895126343 | |
StyleLoss:updateGradInput input 1: 16.492895126343 | |
StyleLoss:updateOutput self.G 1: 6568505.5 | |
StyleLoss:updateOutput self.G 2: 0.59438067674637 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0333898583594e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054200348677114 | |
dG 1: -3.0370114473044e-05 | |
dG 2: -2.7481758188563e-12 | |
--- | |
Iteration 31 / 2500 | |
Content 1 loss: 694072.216797 | |
Style 1 loss: 54705.951691 | |
Style 2 loss: 60366638.671875 | |
Style 3 loss: 73475789.062500 | |
Style 4 loss: 5020632.934570 | |
Style 5 loss: 193026.901245 | |
Total loss: 139804865.738678 | |
optim value: -5.7513709068298 | |
--- | |
x1 value: -5.7513709068298 | |
gram updateOutput value: 2.0394680500031 | |
gram updateOutput value 2: 711871232 | |
gram updateOutput value: 46.398315429688 | |
gram updateOutput value 2: 8058665472 | |
gram updateOutput value: 48.344413757324 | |
gram updateOutput value 2: 4175616768 | |
gram updateOutput value: 6.6461915969849 | |
gram updateOutput value 2: 286147840 | |
gram updateOutput value: 0.59438067674637 | |
gram updateOutput value 2: 6319343.5 | |
gram 1 value: -2.8275126240374e-08 | |
gram 2 value: -5.6550252480747e-08 | |
gram 3 value: -5.6550252480747e-08 | |
gram 1 value: -7.4007672878906e-08 | |
gram 2 value: -1.4801534575781e-07 | |
gram 3 value: -1.4801534575781e-07 | |
gram 1 value: -6.1161676967458e-07 | |
gram 2 value: -1.2232335393492e-06 | |
gram 3 value: -1.2232335393492e-06 | |
gram 1 value: -5.4613167321804e-07 | |
gram 2 value: -1.0922633464361e-06 | |
gram 3 value: -1.0922633464361e-06 | |
gram 1 value: -2.2820723089012e-09 | |
gram 2 value: -4.5641446178024e-09 | |
gram 3 value: -4.5641446178024e-09 | |
feval(x) grad value: 1.766612942952e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.414093017578 | |
StyleLoss:updateOutput output 1: 10.414093017578 | |
StyleLoss:updateGradInput input 1: 10.414093017578 | |
StyleLoss:updateOutput self.G 1: 711871232 | |
StyleLoss:updateOutput self.G 2: 2.0255079269409 | |
StyleLoss:updateGradInput self.gradInput 1: -2.845174096322e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7071044567274e-05 | |
dG 1: -0.00090718036517501 | |
dG 2: -2.5812262483688e-12 | |
--- | |
StyleLoss:updateOutput input 1: 71.34838104248 | |
StyleLoss:updateOutput output 1: 71.34838104248 | |
StyleLoss:updateGradInput input 1: 71.34838104248 | |
StyleLoss:updateOutput self.G 1: 8058665472 | |
StyleLoss:updateOutput self.G 2: 45.859107971191 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6451416874381e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.8859860069351e-05 | |
dG 1: -0.0097761200740933 | |
dG 2: -5.5632557588448e-11 | |
--- | |
StyleLoss:updateOutput input 1: 103.86493682861 | |
StyleLoss:updateOutput output 1: 103.86493682861 | |
StyleLoss:updateGradInput input 1: 103.86493682861 | |
StyleLoss:updateOutput self.G 1: 4175616768 | |
StyleLoss:updateOutput self.G 2: 47.481956481934 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0211890000278e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3771876739338e-05 | |
dG 1: -0.0022806776687503 | |
dG 2: -2.5934143721429e-11 | |
--- | |
StyleLoss:updateOutput input 1: 54.967441558838 | |
StyleLoss:updateOutput output 1: 54.967441558838 | |
StyleLoss:updateGradInput input 1: 54.967441558838 | |
StyleLoss:updateOutput self.G 1: 286147840 | |
StyleLoss:updateOutput self.G 2: 6.4962167739868 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9183257649047e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012169834371889 | |
dG 1: -0.00013098813360557 | |
dG 2: -2.9737334556607e-12 | |
--- | |
StyleLoss:updateOutput input 1: 16.171180725098 | |
StyleLoss:updateOutput output 1: 16.171180725098 | |
StyleLoss:updateGradInput input 1: 16.171180725098 | |
StyleLoss:updateOutput self.G 1: 6319343.5 | |
StyleLoss:updateOutput self.G 2: 0.57183420658112 | |
StyleLoss:updateGradInput self.gradInput 1: -9.033498571398e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.0005420099478215 | |
dG 1: -3.0542130843969e-05 | |
dG 2: -2.7637419262871e-12 | |
--- | |
Iteration 32 / 2500 | |
Content 1 loss: 683221.728516 | |
Style 1 loss: 55609.434128 | |
Style 2 loss: 61130373.046875 | |
Style 3 loss: 74520035.156250 | |
Style 4 loss: 5072547.729492 | |
Style 5 loss: 194984.344482 | |
Total loss: 141656771.439743 | |
optim value: -5.7206163406372 | |
--- | |
x1 value: -5.7206163406372 | |
gram updateOutput value: 2.0255079269409 | |
gram updateOutput value 2: 707172224 | |
gram updateOutput value: 45.859107971191 | |
gram updateOutput value 2: 7968616960 | |
gram updateOutput value: 47.481956481934 | |
gram updateOutput value 2: 4103207168 | |
gram updateOutput value: 6.4962167739868 | |
gram updateOutput value 2: 279825664 | |
gram updateOutput value: 0.57183420658112 | |
gram updateOutput value 2: 6084252.5 | |
gram 1 value: -2.7844523131648e-08 | |
gram 2 value: -5.5689046263296e-08 | |
gram 3 value: -5.5689046263296e-08 | |
gram 1 value: -7.3567591130086e-08 | |
gram 2 value: -1.4713518226017e-07 | |
gram 3 value: -1.4713518226017e-07 | |
gram 1 value: -6.1347930113698e-07 | |
gram 2 value: -1.226958602274e-06 | |
gram 3 value: -1.226958602274e-06 | |
gram 1 value: -5.4613053634966e-07 | |
gram 2 value: -1.0922610726993e-06 | |
gram 3 value: -1.0922610726993e-06 | |
gram 1 value: -2.2966994972506e-09 | |
gram 2 value: -4.5933989945013e-09 | |
gram 3 value: -4.5933989945013e-09 | |
feval(x) grad value: -2.0316047189586e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.374665260315 | |
StyleLoss:updateOutput output 1: 10.374665260315 | |
StyleLoss:updateGradInput input 1: 10.374665260315 | |
StyleLoss:updateOutput self.G 1: 707172224 | |
StyleLoss:updateOutput self.G 2: 2.0121378898621 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8452145084401e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7071284673875e-05 | |
dG 1: -0.00091370876180008 | |
dG 2: -2.59980188419e-12 | |
--- | |
StyleLoss:updateOutput input 1: 70.913566589355 | |
StyleLoss:updateOutput output 1: 70.913566589355 | |
StyleLoss:updateGradInput input 1: 70.913566589355 | |
StyleLoss:updateOutput self.G 1: 7968616960 | |
StyleLoss:updateOutput self.G 2: 45.346672058105 | |
StyleLoss:updateGradInput self.gradInput 1: -5.645395262377e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.8454356399598e-05 | |
dG 1: -0.00983867328614 | |
dG 2: -5.5988529784612e-11 | |
--- | |
StyleLoss:updateOutput input 1: 102.96099090576 | |
StyleLoss:updateOutput output 1: 102.96099090576 | |
StyleLoss:updateGradInput input 1: 102.96099090576 | |
StyleLoss:updateOutput self.G 1: 4103207168 | |
StyleLoss:updateOutput self.G 2: 46.658580780029 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0242978909503e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.380849663401e-05 | |
dG 1: -0.0023058054503053 | |
dG 2: -2.6219873494604e-11 | |
--- | |
StyleLoss:updateOutput input 1: 54.347034454346 | |
StyleLoss:updateOutput output 1: 54.347034454346 | |
StyleLoss:updateGradInput input 1: 54.347034454346 | |
StyleLoss:updateOutput self.G 1: 279825664 | |
StyleLoss:updateOutput self.G 2: 6.352689743042 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9199710266093e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012175977462903 | |
dG 1: -0.0001320831652265 | |
dG 2: -2.9985926935927e-12 | |
--- | |
StyleLoss:updateOutput input 1: 15.862095832825 | |
StyleLoss:updateOutput output 1: 15.862095832825 | |
StyleLoss:updateGradInput input 1: 15.862095832825 | |
StyleLoss:updateOutput self.G 1: 6084252.5 | |
StyleLoss:updateOutput self.G 2: 0.55056089162827 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0336037317229e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054201629245654 | |
dG 1: -3.0704428354511e-05 | |
dG 2: -2.7784280952348e-12 | |
--- | |
Iteration 33 / 2500 | |
Content 1 loss: 673064.550781 | |
Style 1 loss: 56487.728119 | |
Style 2 loss: 61860421.875000 | |
Style 3 loss: 75530701.171875 | |
Style 4 loss: 5122387.573242 | |
Style 5 loss: 196831.741333 | |
Total loss: 143439894.640350 | |
optim value: -5.6908445358276 | |
--- | |
x1 value: -5.6908445358276 | |
gram updateOutput value: 2.0121378898621 | |
gram updateOutput value 2: 702669056 | |
gram updateOutput value: 45.346672058105 | |
gram updateOutput value 2: 7882967040 | |
gram updateOutput value: 46.658580780029 | |
gram updateOutput value 2: 4034073344 | |
gram updateOutput value: 6.352689743042 | |
gram updateOutput value 2: 273772448 | |
gram updateOutput value: 0.55056089162827 | |
gram updateOutput value 2: 5863013 | |
gram 1 value: -2.7423915582858e-08 | |
gram 2 value: -5.4847831165716e-08 | |
gram 3 value: -5.4847831165716e-08 | |
gram 1 value: -7.3117369936426e-08 | |
gram 2 value: -1.4623473987285e-07 | |
gram 3 value: -1.4623473987285e-07 | |
gram 1 value: -6.1503448023359e-07 | |
gram 2 value: -1.2300689604672e-06 | |
gram 3 value: -1.2300689604672e-06 | |
gram 1 value: -5.4606067578788e-07 | |
gram 2 value: -1.0921213515758e-06 | |
gram 3 value: -1.0921213515758e-06 | |
gram 1 value: -2.310716951115e-09 | |
gram 2 value: -4.6214339022299e-09 | |
gram 3 value: -4.6214339022299e-09 | |
feval(x) grad value: 3.5332258859039e-18 | |
--- | |
StyleLoss:updateOutput input 1: 10.336686134338 | |
StyleLoss:updateOutput output 1: 10.336686134338 | |
StyleLoss:updateGradInput input 1: 10.336686134338 | |
StyleLoss:updateOutput self.G 1: 702669056 | |
StyleLoss:updateOutput self.G 2: 1.999324798584 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8452478151308e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7071486581699e-05 | |
dG 1: -0.0009199651540257 | |
dG 2: -2.6176036165004e-12 | |
--- | |
StyleLoss:updateOutput input 1: 70.496421813965 | |
StyleLoss:updateOutput output 1: 70.496421813965 | |
StyleLoss:updateGradInput input 1: 70.496421813965 | |
StyleLoss:updateOutput self.G 1: 7882967040 | |
StyleLoss:updateOutput self.G 2: 44.859264373779 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6456457286913e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.8053953176131e-05 | |
dG 1: -0.0098981717601418 | |
dG 2: -5.63271165821e-11 | |
--- | |
StyleLoss:updateOutput input 1: 102.08964538574 | |
StyleLoss:updateOutput output 1: 102.08964538574 | |
StyleLoss:updateGradInput input 1: 102.08964538574 | |
StyleLoss:updateOutput self.G 1: 4034073344 | |
StyleLoss:updateOutput self.G 2: 45.872436523438 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0270849060134e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3825405959506e-05 | |
dG 1: -0.0023297960869968 | |
dG 2: -2.649268304733e-11 | |
--- | |
StyleLoss:updateOutput input 1: 53.74690246582 | |
StyleLoss:updateOutput output 1: 53.74690246582 | |
StyleLoss:updateGradInput input 1: 53.74690246582 | |
StyleLoss:updateOutput self.G 1: 273772448 | |
StyleLoss:updateOutput self.G 2: 6.2152662277222 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9212977875327e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012179723125882 | |
dG 1: -0.00013313161616679 | |
dG 2: -3.0223946175661e-12 | |
--- | |
StyleLoss:updateOutput input 1: 15.565598487854 | |
StyleLoss:updateOutput output 1: 15.565598487854 | |
StyleLoss:updateGradInput input 1: 15.565598487854 | |
StyleLoss:updateOutput self.G 1: 5863013 | |
StyleLoss:updateOutput self.G 2: 0.5305410027504 | |
StyleLoss:updateGradInput self.gradInput 1: -9.033697523364e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054202199680731 | |
dG 1: -3.0857165256748e-05 | |
dG 2: -2.7922495045296e-12 | |
--- | |
Iteration 34 / 2500 | |
Content 1 loss: 663540.429688 | |
Style 1 loss: 57341.972351 | |
Style 2 loss: 62558542.968750 | |
Style 3 loss: 76507746.093750 | |
Style 4 loss: 5170224.609375 | |
Style 5 loss: 198570.968628 | |
Total loss: 145155967.042542 | |
optim value: -5.6620225906372 | |
--- | |
x1 value: -5.6620225906372 | |
gram updateOutput value: 1.999324798584 | |
gram updateOutput value 2: 698348992 | |
gram updateOutput value: 44.859264373779 | |
gram updateOutput value 2: 7801437184 | |
gram updateOutput value: 45.872436523438 | |
gram updateOutput value 2: 3967986944 | |
gram updateOutput value: 6.2152662277222 | |
gram updateOutput value 2: 267965600 | |
gram updateOutput value: 0.5305410027504 | |
gram updateOutput value 2: 5654413 | |
gram 1 value: -2.7013399517273e-08 | |
gram 2 value: -5.4026799034546e-08 | |
gram 3 value: -5.4026799034546e-08 | |
gram 1 value: -7.2659332772673e-08 | |
gram 2 value: -1.4531866554535e-07 | |
gram 3 value: -1.4531866554535e-07 | |
gram 1 value: -6.1631772041437e-07 | |
gram 2 value: -1.2326354408287e-06 | |
gram 3 value: -1.2326354408287e-06 | |
gram 1 value: -5.4593249387835e-07 | |
gram 2 value: -1.0918649877567e-06 | |
gram 3 value: -1.0918649877567e-06 | |
gram 1 value: -2.3241661928353e-09 | |
gram 2 value: -4.6483323856705e-09 | |
gram 3 value: -4.6483323856705e-09 | |
feval(x) grad value: 7.9497575815393e-17 | |
--- | |
StyleLoss:updateOutput input 1: 10.300073623657 | |
StyleLoss:updateOutput output 1: 10.300073623657 | |
StyleLoss:updateGradInput input 1: 10.300073623657 | |
StyleLoss:updateOutput self.G 1: 698348992 | |
StyleLoss:updateOutput self.G 2: 1.9870326519012 | |
StyleLoss:updateGradInput self.gradInput 1: -2.8452744604834e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -1.7071646652767e-05 | |
dG 1: -0.00092596706235781 | |
dG 2: -2.6346808849192e-12 | |
--- | |
StyleLoss:updateOutput input 1: 70.096145629883 | |
StyleLoss:updateOutput output 1: 70.096145629883 | |
StyleLoss:updateGradInput input 1: 70.096145629883 | |
StyleLoss:updateOutput self.G 1: 7801437184 | |
StyleLoss:updateOutput self.G 2: 44.395313262939 | |
StyleLoss:updateGradInput self.gradInput 1: -5.6458939745596e-09 | |
StyleLoss:updateGradInput self.gradInput 2: -3.7658664950868e-05 | |
dG 1: -0.0099548073485494 | |
dG 2: -5.6649400448361e-11 | |
--- | |
StyleLoss:updateOutput input 1: 101.24900054932 | |
StyleLoss:updateOutput output 1: 101.24900054932 | |
StyleLoss:updateGradInput input 1: 101.24900054932 | |
StyleLoss:updateOutput self.G 1: 3967986944 | |
StyleLoss:updateOutput self.G 2: 45.120952606201 | |
StyleLoss:updateGradInput self.gradInput 1: -1.0295768682056e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -6.3818828493822e-05 | |
dG 1: -0.0023527294397354 | |
dG 2: -2.675346229275e-11 | |
--- | |
StyleLoss:updateOutput input 1: 53.164566040039 | |
StyleLoss:updateOutput output 1: 53.164566040039 | |
StyleLoss:updateGradInput input 1: 53.164566040039 | |
StyleLoss:updateOutput self.G 1: 267965600 | |
StyleLoss:updateOutput self.G 2: 6.0834360122681 | |
StyleLoss:updateGradInput self.gradInput 1: -1.9223996616802e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00012178126053186 | |
dG 1: -0.00013413738633972 | |
dG 2: -3.0452287826804e-12 | |
--- | |
StyleLoss:updateOutput input 1: 15.280905723572 | |
StyleLoss:updateOutput output 1: 15.280905723572 | |
StyleLoss:updateGradInput input 1: 15.280905723572 | |
StyleLoss:updateOutput self.G 1: 5654413 | |
StyleLoss:updateOutput self.G 2: 0.51166492700577 | |
StyleLoss:updateGradInput self.gradInput 1: -9.0337941571761e-08 | |
StyleLoss:updateGradInput self.gradInput 2: -0.00054202770115808 | |
dG 1: -3.1001181923784e-05 | |
dG 2: -2.8052807472811e-12 | |
--- | |
Iteration 35 / 2500 | |
Content 1 loss: 654587.890625 | |
Style 1 loss: 58173.219681 | |
Style 2 loss: 63226347.656250 | |
Style 3 loss: 77451996.093750 | |
Style 4 loss: 5216204.223633 | |
Style 5 loss: 200212.188721 | |
Total loss: 146807521.272659 | |
optim value: -5.6341166496277 | |
--- | |
x1 value: -5.6341166496277 | |
gram updateOutput value: 1.9870326519012 | |
gram updateOutput value 2: 694198784 | |
gram updateOutput value: 44.395313262939 | |
gram updateOutput value 2: 7723768832 |
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