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There is a newer version: 4.23.0.17664

This rule raises when a torch.autograd.Variable is instantiated.
Why is this an issue?
The Pytorch Variable API has been deprecated. The behavior of Variables is now provided by the Pytorch tensors and can be controlled with the
requires_grad parameter.
The Variable API now returns tensors anyway, so there should not be any breaking changes.
How to fix it
Replace the call to torch.autograd.Variable with a call to torch.tensor and set the requires_grad attribute
to True if needed.
Code examples
Noncompliant code example
import torch

x = torch.autograd.Variable(torch.tensor([1.0]), requires_grad=True) # Noncompliant
x2 = torch.autograd.Variable(torch.tensor([1.0])) # Noncompliant

Compliant solution
import torch

x = torch.tensor([1.0], requires_grad=True)
x2 = torch.tensor([1.0])

Resources
Documentation

   Pytorch documentation - Variable API