[Enhancement] Refactor DataPreprocessor

[LeoXing1996]

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Motivation

Generative models (e.g., BigGAN, StyleGAN) and low-level models (e.g., BasicVSR) use different data preprocessors, and those data preprocessors take different kinds of input (e.g., GenDataPreprocessor support tensor, list of tensor, and dict as input, while EditDataPreprocessor only support list of tensor as input).

In this PR, we unify GenDatapreprocessor and EditDatapreprocessor.

Modification

In this PR, EditDatapreprocessor is refactored.

1. Support List[Tensor], Tensor, Dict, List[Dict] as input.
2. Decraped pad_args and change to pad_mode and pad_value
3. Support calculate input_view and output_view automatically
4. Support users control whether norm data_sample.gt_img in val/test stage via only_norm_gt_in_training
5. destructor support un-pad image by key.
6. If a list of tensors or a tensor is passed, the returned inputs is packed into a dict with the field img.

Who can help? @ them here!

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:

• 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 test to ensure the correctness.
• The documentation has been modified accordingly, including docstring or example tutorials.

After PR:

• If the modification has potential influence on downstream or other related projects, this PR should be tested with some of those projects.
• CLA has been signed and all committers have signed the CLA in this PR.

[codecov]

Codecov Report

❗ No coverage uploaded for pull request base (refactor-metric-loop-and-preprocessor@b219a43). Click here to learn what that means.
Patch has no changes to coverable lines.

Additional details and impacted files

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Flag	Coverage Δ
unittests	88.93% <0.00%> (?)

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