impl_elementwise_func_round

[vtavana]

In this PR, dpctl.tensor.round is implemented and tested.
Present implementation relies on vector engines of GPU using rounding mode 'round_to_nearest'. Should this change this implementation might break.

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[github-actions]

View rendered docs @ https://intelpython.github.io/dpctl/pulls/1299/index.html

[coveralls]

coverage: 83.239% (+0.003%) from 83.236% when pulling fb35be7 on impl_elementwise_func_round into 616c21e on master.

[github-actions]

Array API standard conformance tests for dpctl=0.14.6dev0=py310h7bf5fec_24 ran successfully.
Passed: 484
Failed: 516
Skipped: 119

[github-actions]

Array API standard conformance tests for dpctl=0.14.6dev0=py310h7bf5fec_29 ran successfully.
Passed: 486
Failed: 514
Skipped: 119

[github-actions]

Array API standard conformance tests for dpctl=0.14.6dev0=py310h7bf5fec_29 ran successfully.
Passed: 488
Failed: 512
Skipped: 119

[github-actions]

Array API standard conformance tests for dpctl=0.14.6dev0=py310h7bf5fec_29 ran successfully.
Passed: 487
Failed: 513
Skipped: 119

[ndgrigorian]

This LGTM

[oleksandr-pavlyk]

Perhaps it is worth remarking that present implementation relies on vector engines of GPU using rounding mode 'round_to_nearest'. Should this change this implementation might break. This is why I was insisting that the rounding_func be modularized. It would need to be changed in a single place should it become necessary.

With this remark, it looks good to me too.

[github-actions]

Deleted rendered PR docs from intelpython.github.com/dpctl, latest should be updated shortly. 🤞

[github-actions]

Array API standard conformance tests for dpctl= ran successfully.
Passed: 566
Failed: 434
Skipped: 119