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[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): cudnn.SpatialConvolution(3 -> 64, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): nn.StyleLoss | |
} | |
(2): nn.GPU(2) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> output] | |
(1): cudnn.SpatialConvolution(64 -> 64, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): cudnn.SpatialMaxPooling(2x2, 2,2) | |
} | |
(3): nn.GPU(3) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output] | |
(1): cudnn.SpatialConvolution(64 -> 128, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): nn.StyleLoss | |
(4): cudnn.SpatialConvolution(128 -> 128, 3x3, 1,1, 1,1) | |
(5): cudnn.ReLU | |
(6): cudnn.SpatialMaxPooling(2x2, 2,2) | |
} | |
(4): nn.GPU(4) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> output] | |
(1): cudnn.SpatialConvolution(128 -> 256, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): nn.StyleLoss | |
} | |
(5): nn.GPU(5) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> output] | |
(1): cudnn.SpatialConvolution(256 -> 256, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): cudnn.SpatialConvolution(256 -> 256, 3x3, 1,1, 1,1) | |
(4): cudnn.ReLU | |
(5): cudnn.SpatialMaxPooling(2x2, 2,2) | |
} | |
(6): nn.GPU(6) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> (6) -> output] | |
(1): cudnn.SpatialConvolution(256 -> 512, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): nn.StyleLoss | |
(4): cudnn.SpatialConvolution(512 -> 512, 3x3, 1,1, 1,1) | |
(5): cudnn.ReLU | |
(6): nn.ContentLoss | |
} | |
(7): nn.GPU(7) @ nn.Sequential { | |
[input -> (1) -> (2) -> (3) -> (4) -> (5) -> output] | |
(1): cudnn.SpatialConvolution(512 -> 512, 3x3, 1,1, 1,1) | |
(2): cudnn.ReLU | |
(3): cudnn.SpatialMaxPooling(2x2, 2,2) | |
(4): cudnn.SpatialConvolution(512 -> 512, 3x3, 1,1, 1,1) | |
(5): cudnn.ReLU | |
} | |
(8): nn.GPU(8) @ nn.Sequential { | |
[input -> (1) -> output] | |
(1): nn.StyleLoss | |
} | |
} | |
gram updateOutput input value: 13.913771629333 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 1164591616 | |
gram updateOutput input value: 96.735000610352 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 14068302848 | |
gram updateOutput input value: 106.94290924072 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 4332710400 | |
gram updateOutput input value: 54.167041778564 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 274163968 | |
gram updateOutput input value: 10.34401512146 | |
gram updateOutput value: 0 | |
gram updateOutput value 2: 3434939.25 | |
Capturing style target 1 | |
gram updateOutput input value: 14.171918869019 | |
gram updateOutput value: 3.3136463165283 | |
gram updateOutput value 2: 231200432 | |
gram updateOutput input value: 115.11059570312 | |
gram updateOutput value: 80.057891845703 | |
gram updateOutput value 2: 3753993984 | |
gram updateOutput input value: 163.39628601074 | |
gram updateOutput value: 49.26831817627 | |
gram updateOutput value 2: 1826164992 | |
gram updateOutput input value: 103.54053497314 | |
gram updateOutput value: 6.2241559028625 | |
gram updateOutput value 2: 176804336 | |
gram updateOutput input value: 45.066600799561 | |
gram updateOutput value: 0.31082594394684 | |
gram updateOutput value 2: 8545173 | |
3.8834133148193 | |
125.94509124756 | |
122.21520233154 | |
23.665088653564 | |
4.5750517845154 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.8834133148193 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 125.94509124756 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 122.21520233154 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 23.665088653564 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
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 input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275230276166e-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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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 2 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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 3 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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: -2.9808124963893e-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 4 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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 5 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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 6 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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 7 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275223000208e-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 8 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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 9 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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: 0 | |
--- | |
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: -4.0275226638187e-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 10 / 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: -7.1936044692993 | |
--- | |
x1 value: -7.1936044692993 | |
gram updateOutput input value: 13.897933006287 | |
gram updateOutput value: 3.6386742591858 | |
gram updateOutput value 2: 1278823680 | |
gram updateOutput input value: 112.44744110107 | |
gram updateOutput value: 115.33726501465 | |
gram updateOutput value 2: 20267821056 | |
gram updateOutput input value: 163.86224365234 | |
gram updateOutput value: 118.95206451416 | |
gram updateOutput value 2: 10460779520 | |
gram updateOutput input value: 98.696151733398 | |
gram updateOutput value: 20.841968536377 | |
gram updateOutput value 2: 918054848 | |
gram updateOutput input value: 41.496166229248 | |
gram updateOutput value: 3.6789810657501 | |
gram updateOutput value 2: 40656444 | |
x2 value: -7.1936044692993 | |
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 |
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