Hi everybody. Question regarding fast.ai and render.com
- I trained a model using crestle
- I exported the model to .pkl
- I put the .pkl file on dropbox
- I have a server load the pkl as per the instructions
- When I try to build the dockerfile, I get this error
/usr/local/lib/python3.7/site-packages/torch/serialization.py:454: SourceChangeWarning: source code of class ‘torch.nn.modules.loss.CrossEntropyLoss’ 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)
/usr/local/lib/python3.7/site-packages/torch/serialization.py:454: 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)
/usr/local/lib/python3.7/site-packages/torch/serialization.py:454: 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)
/usr/local/lib/python3.7/site-packages/torch/serialization.py:454: SourceChangeWarning: source code of class ‘torch.nn.modules.activation.ReLU’ 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)
…
I have tried clicking export twice in crestle, as someone suggested ‘re-exporting.’ Did I misinterpret what ‘re-exporting’ means? Any ideas what is happening? My requirements.txt file looks like this:
aiofiles==0.4.0
aiohttp==3.5.4
asyncio==3.4.3
fastai==1.0.52
https://download.pytorch.org/whl/cpu/torch-1.1.0-cp37-cp37m-linux_x86_64.whl
https://download.pytorch.org/whl/cpu/torchvision-0.3.0-cp37-cp37m-linux_x86_64.whl
numpy==1.16.3
starlette==0.12.0
uvicorn==0.7.1
python-multipart==0.0.5