Added support for arrays for fill_value for full() function

[npolina4]

Added support for numpy.ndarray and dpctl.tensor.usm_ndarray for fill_value for dpctl.tensor.full() function.

• Have you provided a meaningful PR description?
• Have you added a test, reproducer or referred to an issue with a reproducer?
• Have you tested your changes locally for CPU and GPU devices?

[github-actions]

View rendered docs @ https://intelpython.github.io/dpctl/pulls/982/index.html

[github-actions]

Array API standard conformance tests for dpctl=0.14.0dev1=py310h8c27c75_57 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[coveralls]

Coverage increased (+0.03%) to 81.978% when pulling a84c615 on fix_full_array_dtype into 31127cb on master.

[github-actions]

Array API standard conformance tests for dpctl=0.14.0dev1=py310h8c27c75_58 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[oleksandr-pavlyk]

Suggested change

device=device,

Since normalize_queue_device has been called, we only need to use sycl_queue argument.

[oleksandr-pavlyk]

More tests are needed. Check support for working with 0d arrays, e.g.

y_sum = dpt.arange(10, dtype='i4')
x_usm = dpt.full(10, y_usm[3])

[github-actions]

Array API standard conformance tests for dpctl=0.14.0rc2=py310h8c27c75_8 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[github-actions]

Array API standard conformance tests for dpctl=0.14.0rc2=py310h8c27c75_12 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138

[oleksandr-pavlyk]

Thank you @npolina4 !

This looks great. Let's wait for the CI and merge.

[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=0.14.0rc2=py310h8c27c75_14 ran successfully.
Passed: 33
Failed: 801
Skipped: 3138