fix: resolve failing test cases for torch.linalg.norm

[adity1729]

PR Description

Related Issue

Close #28690

Closes #

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• Did you add a function?
• Did you add the tests?
• Did you run your tests and are your tests passing?
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[Sam-Armstrong]

Hey @adity1729, thanks for the contribution!

I think the only problem with the test is the dtype of the returned tensor. Can you make the changes I suggested and confirm that fixes the test? Then we should be good to merge.

Thanks!

[Sam-Armstrong]

Suggested change

	max_num_dims=4, # limit maximum dimensions
	min_dim_size=2, # set minimum dimension size
	max_dim_size=10, # set maximum dimension size

I don't think we need these to fix the tests.

[adity1729]

I have tested it we need max_num_dims=4 otherwise it is giving this error

E hypothesis.errors.InvalidArgument: ListStrategy(one_of(floats(min_value=-100.0, max_value=-3.097532938251384e-35, allow_nan=False, allow_infinity=False, allow_subnormal=False, width=32), floats(min_value=3.097532938251384e-35, max_value=100.0, allow_nan=False, allow_infinity=False, allow_subnormal=False, width=32)), min_size=45_000, max_size=45_000) can never generate an example, because min_size is larger than Hypothesis supports. Including it is at best slowing down your tests for no benefit; at worst making them fail (maybe flakily) with a HealthCheck error.
E while generating 'args' from _get_axis_and_p()
E

[Sam-Armstrong]

lgtm, thanks!