AttributeError: 'ReLU' object has no attribute 'threshold'

fastai
1

Hey guys,

I’m working on deploying a tabular model right now, and when I send a request for learn.get_preds(), I receive the above error: AttributeError: 'ReLU' object has no attribute 'threshold'

Along with this, when I first boot up my server I receive the following warnings:

/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: SourceChangeWarning: source code of class 'fastai.tabular.models.TabularModel' 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: SourceChangeWarning: source code of class 'torch.nn.modules.container.ModuleList' 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: SourceChangeWarning: source code of class 'torch.nn.modules.sparse.Embedding' 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: 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)
/home/zach/.local/lib/python3.6/site-packages/torch/serialization.py:435: 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)

How do I go about fixing this? Here is my dependency list: (The default from the Render requirements.txt)
aiofiles==0.4.0
aiohttp==3.5.4
asyncio==3.4.3
fastai==1.0.52
pytorch==1.1.0
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

Thanks!!!

2

I also tried updating the library to 1.0.54 with no luck.

Edit did a pip3 install requirements.txt with the following packages:
aiofiles==0.4.0
aiohttp==3.5.4
asyncio==3.4.3
fastai==1.0.54
https://files.pythonhosted.org/packages/2e/45/0f2f3062c92d9cf1d5d7eabd3cae88cea9affbd2b17fb1c043627838cb0a/torchvision-0.3.0-cp36-cp36m-manylinux1_x86_64.whl
https://files.pythonhosted.org/packages/2e/45/0f2f3062c92d9cf1d5d7eabd3cae88cea9affbd2b17fb1c043627838cb0a/torchvision-0.3.0-cp36-cp36m-manylinux1_x86_64.whl
numpy==1.16.3
starlette==0.12.0
uvicorn==0.7.1
python-multipart==0.0.5

New to installing dependencies… apologies

3

torch version??

4

Added the torch links to what I used

5

Haven’t seen this error before.

Try the same within a virtualenv and use pip install -r requirements.txt --no-cache-dir --ignore-installed this time while installing the packages within the virtualenv.

6

I thought I had included that the updates had worked. I needed to update my local files… Apologies.