[CodeCamp2023-336] New Version of config Adapting MAE Algorithm

[mstwutao]

Adapting New Version of config Adapting MAE Algorithm, based on open-mmlab/OpenMMLabCamp#336

Motivation

MMEngine establishes a new configuration infrastructure based on pure python style.

Modification

Add 14 config python files in mmpretrain/configs/mae/
Add 1 config python files in mmpretrain/configs/base/models/
Fix some typos

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]

please rebase to update the commit and run pre-commit to fix lint problem

[codecov]

Codecov Report

Patch coverage: 96.00% and project coverage change: -19.84% ⚠️

Comparison is base (89eaa92) 85.22% compared to head (11f0502) 65.38%.
Report is 101 commits behind head on main.

❗ Current head 11f0502 differs from pull request most recent head b1d8fe0. Consider uploading reports for the commit b1d8fe0 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #1750       +/-   ##
===========================================
- Coverage   85.22%   65.38%   -19.84%     
===========================================
  Files         229      358      +129     
  Lines       17243    25989     +8746     
  Branches     2707     4134     +1427     
===========================================
+ Hits        14696    16994     +2298     
- Misses       2046     8377     +6331     
- Partials      501      618      +117     

Flag	Coverage Δ
unittests	65.38% <96.00%> (-19.84%)	⬇️

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

Files Changed	Coverage Δ
configs/_base_/datasets/imagenet_bs128_mbv3.py	100.00% <ø> (ø)
configs/_base_/datasets/imagenet_bs32.py	100.00% <ø> (ø)
...onfigs/_base_/datasets/imagenet_bs32_pil_resize.py	100.00% <ø> (ø)
configs/_base_/datasets/imagenet_bs64_swin_224.py	100.00% <ø> (ø)
configs/_base_/datasets/imagenet_bs64_swin_384.py	100.00% <ø> (ø)
configs/hivit/hivit-tiny-p16_16xb64_in1k.py	50.00% <50.00%> (ø)
configs/_base_/datasets/imagenet_bs64_hivit_224.py	100.00% <100.00%> (ø)
configs/_base_/models/hivit/tiny_224.py	100.00% <100.00%> (ø)
...gs/_base_/schedules/imagenet_bs1024_adamw_hivit.py	100.00% <100.00%> (ø)
configs/dinov2/vit-base-p14_dinov2-pre_headless.py	100.00% <100.00%> (ø)
... and 1 more

... and 173 files with indirect coverage changes

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[mstwutao]

I have run pre-commit, please check, thanks!