Pylint Error `torch.tensor is not callable`

[Microsheep]

🐛 Bug

Pylint returns the error torch.tensor is not callable

To Reproduce

Steps to reproduce the behavior:

import torch

if __name__ == "__main__":
    t = torch.tensor([1, 2, 3], dtype=torch.float64)

>>> pipenv run pylint test.py
test.py:4:8: E1102: torch.tensor is not callable (not-callable)

Expected behavior

This shall not raise pylint error

Environment

PyTorch version: 1.2.0
Is debug build: No
CUDA used to build PyTorch: 10.0.130

OS: Ubuntu 18.04.2 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: version 3.10.2

Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.0.130
GPU models and configuration:
GPU 0: GeForce RTX 2080 Ti
GPU 1: GeForce RTX 2080 Ti

Nvidia driver version: 418.67
cuDNN version: /usr/lib/x86_64-linux-gnu/libcudnn.so.7.6.1

Versions of relevant libraries:
[pip3] numpy==1.17.0
[pip3] torch==1.2.0
[conda] Could not collect

Pytorch installed in Pipenv Environment
pylint==2.3.1

Additional context

None

cc @ezyang @gchanan @zou3519 @bdhirsh @jbschlosser @bhosmer @smessmer @ljk53 @ailzhang @malfet @rgommers @xuzhao9 @gramster

[danilo-augusto]

It's actually shadowing: there is a file named tensor.py at the same level of __init__.py.

By renaming the file from tensor.py to _tensor.py (following the convention adopted for the other modules) and changing the import inside __init__.py everything should go back to normal. A small and targeted PR should fix this. :)

[Microsheep]

Thanks for @danilo-augusto pointing the problem and solution out.
I did not notice this previously. I have submitted a pull request to fix it.

[danilo-augusto]

No problem @Microsheep 😁

[ucalyptus]

Any updates? @Microsheep and @danilo-augusto ? I encountered the same error. Did #25093 solve this issue?

[danilo-augusto]

Normally the fix is sufficiently simple to allow for a local cherry-pick, avoiding the shadowing problem. I'm not in control of the PR though.

[danilo-augusto]

And of course having everybody making the same changes locally and building from scratch is very far from ideal.

[Williamongh]

Happy new year everyone!

[changx03]

This error is still popping out even with

[TYPECHECK]
generated-members=numpy.*,torch.*

in the .pylintrc file

[Enrique-Marmol]

I have the same error, but I cannot find the file tensor.py. Where is it suppose to be?

[viktor-shcherb]

Had the same error with conda environment named after torch. Renaming the environment helped.