Warnings when running dot

[Ghassen-Chaabouni]

🐛 Bug Report

Description:

Getting warnings when running dot. This issue was mentioned in #59.

PS E:\DeepFace\dot-1.1.0\dot-1.1.0> dot -c ./configs/simswap.yaml --target 0 --source "./data" --use_gpu
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'models.ArcMarginModel' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'models.ResNet' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.activation.PReLU' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.MaxPool2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.container.Sequential' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'models.SEBlock' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.AdaptiveAvgPool2d' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.activation.Sigmoid' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.dropout.Dropout' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
C:\Python\lib\site-packages\torch\serialization.py:671: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm1d' has changed. you can retrieve the original source code by accessing the object's source attribute or set `torch.nn.Module.dump_patches = True` and use the patch tool to revert the changes.
  warnings.warn(msg, SourceChangeWarning)
'strict' is an invalid keyword argument for load()
=== Control keys ===
1-9: Change avatar
1: .\data\ronaldo.png
2: .\data\schwarzenegger.png
3: .\data\Brad Pitt.jpg
4: .\data\David Beckham.jpg
5: .\data\einstein.jpg
6: .\data\eminem.jpg
7: .\data\jobs.jpg
8: .\data\Joe Biden.jpg
9: .\data\Leonardo Dicaprio.jpg
10: .\data\Markiplier.jpg
11: .\data\mona.jpg
12: .\data\obama.jpg
13: .\data\Pewdiepie.jpg
14: .\data\potter.jpg
15: .\data\Tom Cruise.jpg
INFO: Created TensorFlow Lite XNNPACK delegate for CPU.
C:\Python\lib\site-packages\torch\nn\functional.py:3609: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details.
  warnings.warn(

[OnlyStopOnTop]

whats the solution for sourcecodechanges? I also got it for dot -c ./configs/simswap.yaml --target 0 --source "./data" --use_gpu &
dot -c ./configs/simswaphq.yaml --target 0 --source "./data" --use_gpu.

Other 2 commands or working properly. I read it´s because pytorch made some changes between their versions if some one tries to loading it with a newer version than it was serialized.

[Ghassen-Chaabouni]

whats the solution for sourcecodechanges? I also got it for dot -c ./configs/simswap.yaml --target 0 --source "./data" --use_gpu & dot -c ./configs/simswaphq.yaml --target 0 --source "./data" --use_gpu.

Other 2 commands or working properly. I read it´s because pytorch made some changes between their versions if some one tries to loading it with a newer version than it was serialized.

Are you able to run dot? If so, you can ignore these warnings for now. Unless you already have a solution for it. You can create a PR.

[Ghassen-Chaabouni]

No more warnings appear when running dot