a210090033
- Add new pretrained model to ./models/upconv_7
- Move old models to ./models/vgg_7
- Use nn.LeakyReLU instead of w2nn.LeakyReLU
- Add useful attribute to .json
New JSON attribute:
The first layer has `model_config` attribute.
It contains:
model_arch: architecture name of model. see `lib/srcnn.lua`
scale_factor: if scale_factor > 1, model:forward() changes image resolution with scale_factor.
channels: input/output channels. if channels == 3, model is RGB model.
offset: pixel size that is to be removed from output.
for example:
(scale_factor=1, offset=7, input=100x100) => output=(100-7)x(100-7)
(scale_factor=2, offset=12, input=100x100) => output=(100*2-12)x(100*2-12)
And each layer has `class_name` attribute.
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bias
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torch.CudaStorage
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32
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576 1
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1
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4
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74
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3
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V 1
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17
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torch.CudaStorage
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73728
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2
|
|
4
|
|
padH
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|
1
|
|
1
|
|
2
|
|
4
|
|
adjH
|
|
1
|
|
0
|
|
2
|
|
2
|
|
dH
|
|
1
|
|
2
|
|
2
|
|
4
|
|
bias
|
|
4
|
|
110
|
|
3
|
|
V 1
|
|
16
|
|
torch.CudaTensor
|
|
1
|
|
3
|
|
1
|
|
1
|
|
4
|
|
111
|
|
3
|
|
V 1
|
|
17
|
|
torch.CudaStorage
|
|
3
|
|
0.172312707 0.189782679 0.179470137
|
|
2
|
|
11
|
|
w2nn_resize
|
|
5
|
|
1
|
|
2
|
|
5
|
|
train
|
|
5
|
|
0
|
|
2
|
|
14
|
|
w2nn_arch_name
|
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2
|
|
8
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upconv_7
|
|
2
|
|
11
|
|
w2nn_offset
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|
1
|
|
12
|
|
2
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|
5
|
|
_type
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|
2
|
|
16
|
|
torch.CudaTensor
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