[Fix] BaseModel & BaseDataPreprocessor to method to be consistent with torch.nn.Module

[C1rN09]

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Motivation

Make BaseModel.to and BaseDataPreprocessor.to methods to be consistent with torch.nn.Module.to, i.e. it can accept devices and dtypes as arguments and handle these cases properly.

Before this PR:

class Model(BaseModel):
    def __init__(self):
        super().__init__()
        self.linear = nn.Linear(4, 4)
    def forward(self):
        pass

model = Model()
model.to('cuda')  # correct
model.to(torch.half)  # raise TypeError
model.to(device='cuda', dtype=torch.half)  # no exception, but dtype ignored

After this PR:

model.to('cuda')
model.to(torch.half)
model.to('cpu', torch.float64)
model.to('cpu', dtype=torch.float64)
model.to(torch.half, device='cpu')  # error, this is not supported by nn.Module

Modification

As in PR

BC-breaking (Optional)

Probably, because before this PR dtype kwargs are ignored

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here, and update the documentation.

Checklist

1. Pre-commit or other linting tools are used to fix the potential lint issues.
2. The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
3. If the modification has potential influence on downstream projects, this PR should be tested with downstream projects, like MMDet or MMCls.
4. The documentation has been modified accordingly, like docstring or example tutorials.

[HAOCHENYE]

Approved!!!

[codecov]

Codecov Report

Base: 78.68% // Head: 78.66% // Decreases project coverage by -0.02% ⚠️

Coverage data is based on head (7c47aa2) compared to base (7e787d8).
Patch coverage: 40.00% of modified lines in pull request are covered.

❗ Current head 7c47aa2 differs from pull request most recent head c70ddf9. Consider uploading reports for the commit c70ddf9 to get more accurate results

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #783      +/-   ##
==========================================
- Coverage   78.68%   78.66%   -0.03%     
==========================================
  Files         128      128              
  Lines        9343     9348       +5     
  Branches     1846     1848       +2     
==========================================
+ Hits         7352     7354       +2     
- Misses       1675     1679       +4     
+ Partials      316      315       -1     

Flag	Coverage Δ
unittests	78.66% <40.00%> (-0.03%)	⬇️

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

Impacted Files	Coverage Δ
mmengine/hub/hub.py	24.32% <0.00%> (-1.39%)	⬇️
mmengine/model/base_model/data_preprocessor.py	85.71% <20.00%> (-1.93%)	⬇️
mmengine/model/base_model/base_model.py	84.61% <100.00%> (+1.49%)	⬆️

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