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[Feature] Checking for dtype to all tensorspec is_in funcs #1952
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/rl/1952
Note: Links to docs will display an error until the docs builds have been completed. ❌ 23 New FailuresAs of commit b1352fb with merge base 23bf315 (): NEW FAILURES - The following jobs have failed:
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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
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!
Description
I've added a check to all
is_in
functions in TensorSpec for the datatype, as specified in #793.Motivation and Context
Why is this change required? What problem does it solve?
If it fixes an open issue, please link to the issue here.
You can use the syntax
close #15213
if this solves the issue #15213Close #793 initially proposed in #783
Types of changes
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