[Feature] Add MobileOne Backbone For MMCls 1.x

[Ezra-Yu]

Motivation

Add MobileOne Backbone

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here and update the documentation.

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

Base: 0.02% // Head: 91.54% // Increases project coverage by +91.52% 🎉

Coverage data is based on head (dcd6586) compared to base (b8b31e9).
Patch coverage: 68.27% of modified lines in pull request are covered.

❗ Current head dcd6586 differs from pull request most recent head 003a75c. Consider uploading reports for the commit 003a75c to get more accurate results

Additional details and impacted files

@@             Coverage Diff              @@
##           dev-1.x    #1030       +/-   ##
============================================
+ Coverage     0.02%   91.54%   +91.52%     
============================================
  Files          121      121               
  Lines         8217     8426      +209     
  Branches      1368     1405       +37     
============================================
+ Hits             2     7714     +7712     
+ Misses        8215      576     -7639     
- Partials         0      136      +136     

Flag	Coverage Δ
unittests	91.54% <68.27%> (+91.52%)	⬆️

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

Impacted Files	Coverage Δ
mmcls/apis/inference.py	0.00% <0.00%> (ø)
mmcls/datasets/multi_label.py	100.00% <ø> (+100.00%)	⬆️
mmcls/models/backbones/timm_backbone.py	28.26% <0.00%> (+28.26%)	⬆️
mmcls/models/utils/attention.py	72.72% <10.44%> (+72.72%)	⬆️
mmcls/models/backbones/vision_transformer.py	74.31% <22.22%> (+74.31%)	⬆️
mmcls/datasets/dataset_wrappers.py	25.97% <22.53%> (+25.97%)	⬆️
mmcls/models/backbones/mobileone.py	94.47% <94.47%> (ø)
mmcls/datasets/transforms/formatting.py	88.09% <95.65%> (+88.09%)	⬆️
mmcls/__init__.py	100.00% <100.00%> (+84.61%)	⬆️
mmcls/datasets/transforms/__init__.py	100.00% <100.00%> (+100.00%)	⬆️
... and 156 more

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