"See the documentation of nn.Upsample for details.".format(mode) #166

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opened 2021-11-28 18:48:25 +01:00 by Luh1124 · 0 comments
Luh1124 commented 2021-11-28 18:48:25 +01:00 (Migrated from github.com)

When I run the firsttest case, the following error is prompted,What do I need to do?

/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. Saved a reverse patch to DataParallel.patch. Run patch -p0 < DataParallel.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. Tried to save a patch, but couldn't create a writable file Conv2d.patch. Make sure it doesn't exist and your working directory is writable.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. Saved a reverse patch to BatchNorm2d.patch. Run patch -p0 < BatchNorm2d.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.activation.PReLU' has changed. Saved a reverse patch to PReLU.patch. Run patch -p0 < PReLU.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.MaxPool2d' has changed. Saved a reverse patch to MaxPool2d.patch. Run patch -p0 < MaxPool2d.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.container.Sequential' has changed. Saved a reverse patch to Sequential.patch. Run patch -p0 < Sequential.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.AdaptiveAvgPool2d' has changed. Saved a reverse patch to AdaptiveAvgPool2d.patch. Run patch -p0 < AdaptiveAvgPool2d.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. Saved a reverse patch to Linear.patch. Run patch -p0 < Linear.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.activation.Sigmoid' has changed. Saved a reverse patch to Sigmoid.patch. Run patch -p0 < Sigmoid.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.dropout.Dropout' has changed. Saved a reverse patch to Dropout.patch. Run patch -p0 < Dropout.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm1d' has changed. Saved a reverse patch to BatchNorm1d.patch. Run patch -p0 < BatchNorm1d.patch to revert your changes.
warnings.warn(msg, SourceChangeWarning)
/home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/nn/functional.py:3455: 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.
"See the documentation of nn.Upsample for details.".format(mode)

**When I run the firsttest case, the following error is prompted,What do I need to do?** /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.parallel.data_parallel.DataParallel' has changed. Saved a reverse patch to DataParallel.patch. Run `patch -p0 < DataParallel.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.conv.Conv2d' has changed. Tried to save a patch, but couldn't create a writable file Conv2d.patch. Make sure it doesn't exist and your working directory is writable. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm2d' has changed. Saved a reverse patch to BatchNorm2d.patch. Run `patch -p0 < BatchNorm2d.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.activation.PReLU' has changed. Saved a reverse patch to PReLU.patch. Run `patch -p0 < PReLU.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.MaxPool2d' has changed. Saved a reverse patch to MaxPool2d.patch. Run `patch -p0 < MaxPool2d.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.container.Sequential' has changed. Saved a reverse patch to Sequential.patch. Run `patch -p0 < Sequential.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.pooling.AdaptiveAvgPool2d' has changed. Saved a reverse patch to AdaptiveAvgPool2d.patch. Run `patch -p0 < AdaptiveAvgPool2d.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.linear.Linear' has changed. Saved a reverse patch to Linear.patch. Run `patch -p0 < Linear.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.activation.Sigmoid' has changed. Saved a reverse patch to Sigmoid.patch. Run `patch -p0 < Sigmoid.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.dropout.Dropout' has changed. Saved a reverse patch to Dropout.patch. Run `patch -p0 < Dropout.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/serialization.py:656: SourceChangeWarning: source code of class 'torch.nn.modules.batchnorm.BatchNorm1d' has changed. Saved a reverse patch to BatchNorm1d.patch. Run `patch -p0 < BatchNorm1d.patch` to revert your changes. warnings.warn(msg, SourceChangeWarning) /home/luh/anaconda3/envs/simswap/lib/python3.6/site-packages/torch/nn/functional.py:3455: 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. "See the documentation of nn.Upsample for details.".format(mode)
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