Used fma in linsequence_affine kernel

[oleksandr-pavlyk]

This PR changes to _tensor_impl to use sycl::fma function to work-around aggressive compiler optimizations reordering multiplications and causing overflows. This could be addressed by applying -fno-associative-math flag (See https://clang.llvm.org/docs/UsersManual.html#controlling-floating-point-behavior for how to control FP-behavior in clang), which help to address the issue on Linux, but not Windows.

This fixes output of dpt.linspace(dpt.finfo('f4').max, dpt.finfo('f4').max, num=16, dtype='f4') which unexpectedly contained nan values as discovered by @npolina4

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[github-actions]

View rendered docs @ https://intelpython.github.io/dpctl/pulls/1034/index.html

[coveralls]

Coverage: 82.23% (+0.04%) from 82.191% when pulling 5a126fd on use-no-associative-math into 47e4ae4 on master.

[github-actions]

Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_14 ran successfully.
Passed: 33
Failed: 801
Skipped: 280

[github-actions]

Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_15 ran successfully.
Passed: 33
Failed: 801
Skipped: 280

[github-actions]

Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_16 ran successfully.
Passed: 33
Failed: 801
Skipped: 280

[github-actions]

Array API standard conformance tests for dpctl=0.14.1dev1=py310h76be34b_14 ran successfully.
Passed: 33
Failed: 801
Skipped: 280

[oleksandr-pavlyk]

@npolina4 I fixed the issue by using sycl::fma to prevent compiler from reordering terms in multiplication and creating sub-expressions prone to overflowing.

[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=0.14.1dev1=py310h76be34b_14 ran successfully.
Passed: 33
Failed: 801
Skipped: 280