Grover finetuning fix on mps/cuda devices

[arunppsg]

Description

Fixes #3506

In this line,

deepchem/deepchem/models/torch_models/grover.py

Lines 224 to 225 in 6ce8cd6

	if len(additional_features.shape) == 1:
	additional_features = additional_features.view(

we need not use torch.from_numpy since additional_features is already a torch.Tensor (made here:

deepchem/deepchem/utils/grover.py

Line 192 in 6ce8cd6

additional_features_tensor = torch.FloatTensor(additional_features)

Also the next line,

deepchem/deepchem/models/torch_models/grover.py

Line 226 in 6ce8cd6

1, additional_features.shape[0])

is not needed since it is moved to device here:

deepchem/deepchem/models/torch_models/grover.py

Line 597 in 6ce8cd6

a2a.to(self.device)), additional_features.to(self.device)

Type of change

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• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
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• Documentations (modification for documents)

Checklist

• My code follows the style guidelines of this
  project
  • Run yapf -i <modified file> and check no errors (yapf version must be 0.32.0)
  • Run mypy -p deepchem and check no errors
  • Run flake8 <modified file> --count and check no errors
  • Run python -m doctest <modified file> and check no errors
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• I have added tests that prove my fix is effective or that my feature works
• New unit tests pass locally with my changes
• I have checked my code and corrected any misspellings

[arunppsg]

Note: ci failure in linting is not related to this pull request (mostly due to flake8 version update).

[rbharath]

LGTM