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[Feature] Checking for dtype to all tensorspec is_in funcs #1952

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Description

I've added a check to all is_in functions in TensorSpec for the datatype, as specified in #793.

Motivation and Context

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You can use the syntax close #15213 if this solves the issue #15213

Close #793 initially proposed in #783

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pytorch-bot bot commented Feb 22, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/1952

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Feb 22, 2024
@vmoens vmoens changed the title Checking for dtype to all tensorspec is_in funcs [Feature] Checking for dtype to all tensorspec is_in funcs Feb 25, 2024
@vmoens vmoens added the enhancement New feature or request label Feb 25, 2024
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Great stuff!
While we're at it I think we should also test that the shape matches when it makes sense:

value.shape[-len(self.shape):] == self.shape and value.dtype == self.dtype

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namanxkumar commented Feb 28, 2024

I've fixed the reviewed changes, and added checks for shape where applicable.

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I linted the code. The tests should be fixed, some are broken now

Thanks a lot for this!

In the future make sure to use another branch than main on your fork, that really helps!

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[Feature Request] TensorSpec is_in methods should check the dtype of val
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