[Enhance] faster image transpose using tensor instead of numpy array

[ly015]

Motivation

Modification

BC-breaking (Optional)

Use cases (Optional)

Checklist

Before PR:

• I have read and followed the workflow indicated in the CONTRIBUTING.md to create this PR.
• Pre-commit or linting tools indicated in CONTRIBUTING.md are used to fix the potential lint issues.
• Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
• New functionalities are covered by complete unit tests. If not, please add more unit tests to ensure correctness.
• The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

• CLA has been signed and all committers have signed the CLA in this PR.

[codecov]

Codecov Report

Base: 81.98% // Head: 81.98% // Increases project coverage by +0.00% 🎉

Coverage data is based on head (cb6070b) compared to base (82a0677).
Patch coverage: 100.00% of modified lines in pull request are covered.

❗ Current head cb6070b differs from pull request most recent head 64e2889. Consider uploading reports for the commit 64e2889 to get more accurate results

Additional details and impacted files

@@           Coverage Diff            @@
##           dev-1.x    #1976   +/-   ##
========================================
  Coverage    81.98%   81.98%           
========================================
  Files          210      210           
  Lines        12237    12236    -1     
  Branches      2079     2079           
========================================
  Hits         10032    10032           
+ Misses        1755     1754    -1     
  Partials       450      450           

Flag	Coverage Δ
unittests	81.98% <100.00%> (+<0.01%)	⬆️

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

Impacted Files	Coverage Δ
mmpose/datasets/transforms/formatting.py	82.08% <100.00%> (-0.27%)	⬇️
mmpose/datasets/transforms/common_transforms.py	85.21% <0.00%> (+0.28%)	⬆️

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

☔ View full report at Codecov.
📢 Do you have feedback about the report comment? Let us know in this issue.