add max_pool3d to pytorch frontend

[progs2002]

close #22024

[github-actions]

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[paulaehab]

HI @progs2002 Thanks for contributing could please add the tests for your frontend function please follow this guide: (https://unify.ai/docs/ivy/overview/deep_dive/ivy_frontends_tests.html )

[progs2002]

Yes, I am working on it.

[progs2002]

@paulaehab I have implemented a test for the function. Could you please take a look at this?

[paulaehab]

Hi @progs2002 Great work 👍 but you have to run the tests and make it successful run I tested the function, and it fails in all backends

as you can see, the error is because the output and input size

[progs2002]

Had some issues with the merge, I'll make the necessary changes.

[progs2002]

@paulaehab The tests are passing now except for the paddle backend (as max pooling with dilation is not currently supported). Can you please take a look?

[paulaehab]

@paulaehab The tests are passing now except for the paddle backend (as max pooling with dilation is not currently supported). Can you please take a look?

yeah nice work I just need you to keep the file changes only of this function please un commit the changes in (devcontainer and torch comparison_ops.py) and I will merge it.

[progs2002]

@paulaehab Yep, it's done.

[paulaehab]

Hi @progs2002 lgt thanks for contributing 😄