[Feature] Add mixmim backbone with inference

[wangbo-zhao]

MMselfSelf want to support "MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning". We hope mmcls can support the backbone proposed in it. This PR has aligned the inference precision.

Motivation

Please describe the motivation of this PR and the goal you want to achieve through this PR.

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?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

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.

[fangyixiao18]

LGTM

[codecov]

Codecov Report

Base: 0.02% // Head: 88.62% // Increases project coverage by +88.60% 🎉

Coverage data is based on head (c264fc2) compared to base (b8b31e9).
Patch has no changes to coverable lines.

Additional details and impacted files

@@             Coverage Diff              @@
##           dev-1.x    #1224       +/-   ##
============================================
+ Coverage     0.02%   88.62%   +88.60%     
============================================
  Files          121      153       +32     
  Lines         8217    12275     +4058     
  Branches      1368     1944      +576     
============================================
+ Hits             2    10879    +10877     
+ Misses        8215     1080     -7135     
- Partials         0      316      +316     

Flag	Coverage Δ
unittests	88.62% <ø> (+88.60%)	⬆️

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

Impacted Files	Coverage Δ
mmcls/datasets/transforms/compose.py
mmcls/models/backbones/replknet.py	93.00% <0.00%> (ø)
mmcls/engine/hooks/ema_hook.py	81.69% <0.00%> (ø)
mmcls/models/heads/multi_label_csra_head.py	40.54% <0.00%> (ø)
mmcls/models/classifiers/hugging_face.py	25.64% <0.00%> (ø)
mmcls/models/backbones/hornet.py	82.05% <0.00%> (ø)
mmcls/models/heads/efficientformer_head.py	93.10% <0.00%> (ø)
mmcls/models/retrievers/base.py	100.00% <0.00%> (ø)
mmcls/models/necks/reduction.py	100.00% <0.00%> (ø)
mmcls/models/backbones/davit.py	84.94% <0.00%> (ø)
... and 144 more

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