[Fix] Fix accepting an unexpected argument local-rank in PyTorch 2.0

[fangyixiao18]

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Motivation

Refer to open-mmlab/mmagic#1712

Modification

Please briefly describe what modification is made in this PR.

BC-breaking (Optional)

Does the modification introduce changes that break the backward compatibility of the downstream repositories?
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Use cases (Optional)

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Checklist

Before PR:

• Pre-commit or other linting tools are used to fix the potential lint issues.
• Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
• The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
• The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

• If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects, like MMDet or MMSeg.
• CLA has been signed and all committers have signed the CLA in this PR.

[codecov]

Codecov Report

Patch coverage: 100.00% and project coverage change: +0.50 🎉

Comparison is base (105ca79) 80.24% compared to head (c2ba1ad) 80.75%.

❗ Current head c2ba1ad differs from pull request most recent head 47a0348. Consider uploading reports for the commit 47a0348 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x     #728      +/-   ##
===========================================
+ Coverage    80.24%   80.75%   +0.50%     
===========================================
  Files          141      144       +3     
  Lines         5129     5207      +78     
  Branches       687      693       +6     
===========================================
+ Hits          4116     4205      +89     
+ Misses         873      861      -12     
- Partials       140      141       +1     

Flag	Coverage Δ
unittests	80.75% <100.00%> (+0.50%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmselfsup/datasets/transforms/__init__.py	100.00% <100.00%> (ø)
mmselfsup/datasets/transforms/pytorch_transform.py	100.00% <100.00%> (ø)
mmselfsup/models/algorithms/__init__.py	100.00% <100.00%> (ø)
mmselfsup/models/algorithms/pixmim.py	100.00% <100.00%> (ø)
mmselfsup/models/target_generators/__init__.py	100.00% <100.00%> (ø)
...sup/models/target_generators/low_freq_generator.py	100.00% <100.00%> (ø)

... and 2 files with indirect coverage changes

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