fix import

[Francis777]

Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

Fix import path.

Modification

This branch is supposed to be compatible with mmcv 2.x, so I corrected the import path, ref in mmcv: https://github.com/Francis777/mmcv/blob/fb39e1e568c49fcd97f9a56cb70a89d6693738c7/mmcv/transforms/__init__.py#L14

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.

[CLAassistant]

All committers have signed the CLA.

[codecov]

Codecov Report

Base: 0.02% // Head: 89.16% // Increases project coverage by +89.14% 🎉

Coverage data is based on head (bd1ab04) compared to base (e8284a4).
Patch has no changes to coverable lines.

❗ Current head bd1ab04 differs from pull request most recent head 0d95294. Consider uploading reports for the commit 0d95294 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##             1.x    #1255       +/-   ##
==========================================
+ Coverage   0.02%   89.16%   +89.14%     
==========================================
  Files        121      150       +29     
  Lines       8239    11542     +3303     
  Branches    1371     1848      +477     
==========================================
+ Hits           2    10292    +10290     
+ Misses      8237      967     -7270     
- Partials       0      283      +283     

Flag	Coverage Δ
unittests	89.16% <ø> (+89.14%)	⬆️

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

Impacted Files	Coverage Δ
mmcls/datasets/pipelines/auto_augment.py
mmcls/datasets/pipelines/processing.py
mmcls/datasets/pipelines/formatting.py
mmcls/datasets/pipelines/compose.py
mmcls/data/__init__.py
mmcls/datasets/pipelines/__init__.py
mmcls/data/cls_data_sample.py
mmcls/models/backbones/swin_transformer_v2.py	89.63% <0.00%> (ø)
mmcls/engine/optimizers/adan_t.py	10.60% <0.00%> (ø)
mmcls/models/backbones/deit3.py	94.52% <0.00%> (ø)
... and 147 more

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[Ezra-Yu]

LGTM.

[openmmlab-bot]

Dear Francis777,
First of all, we want to express our gratitude for your significant PR in the MMCls project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR.
If you are Chinese or have WeChat，welcome to join our community on WeChat. You can add our assistant ：openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends：）
We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. We look forward to seeing you there! Join us ：https://discord.gg/raweFPmdzG
Thank you again for your contribution❤
Best regards！ @Francis777