Minor refactors - datasets/datamodules/optimizers/transforms/metrics/utils

[akihironitta]

What does this PR do?

Part of #519

Before submitting

• Was this discussed/approved via a Github issue? (no need for typos and docs improvements)
• Did you read the contributor guideline, Pull Request section?
• Did you make sure your PR does only one thing, instead of bundling different changes together?
• Did you make sure to update the documentation with your changes?
• Did you write any new necessary tests? [not needed for typos/docs]
• Did you verify new and existing tests pass locally with your changes?
• If you made a notable change (that affects users), did you update the CHANGELOG?

PR review

• Is this pull request ready for review? (if not, please submit in draft mode)

Anyone in the community is free to review the PR once the tests have passed.
If we didn't discuss your PR in Github issues there's a high chance it will not be merged.

Did you have fun?

Make sure you had fun coding 🙃

[codecov]

Codecov Report

Merging #523 (4a6265a) into master (58aa93a) will decrease coverage by 0.16%.
The diff coverage is 54.54%.

@@            Coverage Diff             @@
##           master     #523      +/-   ##
==========================================
- Coverage   78.95%   78.79%   -0.17%     
==========================================
  Files         105      105              
  Lines        6121     6144      +23     
==========================================
+ Hits         4833     4841       +8     
- Misses       1288     1303      +15     

Flag	Coverage Δ
cpu	25.61% <31.81%> (-0.05%)	⬇️
pytest	25.61% <31.81%> (-0.05%)	⬇️
unittests	78.32% <50.00%> (-0.17%)	⬇️

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

Impacted Files	Coverage Δ
pl_bolts/datasets/cifar10_dataset.py	70.96% <0.00%> (-0.78%)	⬇️
pl_bolts/datasets/kitti_dataset.py	32.69% <0.00%> (ø)
pl_bolts/datasets/mnist_dataset.py	45.45% <25.00%> (-4.55%)	⬇️
pl_bolts/datasets/ssl_amdim_datasets.py	76.31% <50.00%> (-0.72%)	⬇️
pl_bolts/utils/semi_supervised.py	93.93% <50.00%> (-2.94%)	⬇️
pl_bolts/transforms/dataset_normalizations.py	84.21% <62.50%> (-15.79%)	⬇️
pl_bolts/metrics/__init__.py	100.00% <100.00%> (ø)
pl_bolts/optimizers/__init__.py	100.00% <100.00%> (ø)
pl_bolts/utils/pretrained_weights.py	54.54% <100.00%> (-45.46%)	⬇️
pl_bolts/utils/self_supervised.py	100.00% <100.00%> (ø)
... and 1 more

---

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 58aa93a...4a6265a. Read the comment docs.