discrepancy of results for `dpctl.tensor.sin` and `dpt.tensor.expm1` for `f4` and `f8` data types on `gpu`

[vtavana]

For the following cases the results are different for float32 and float64 on gpu.

• sin

>>> dpt.sin(dpt.asarray(-0.,dtype='f4',device='gpu'))
usm_ndarray(0., dtype=float32)

>>> dpt.sin(dpt.asarray(-0.,dtype='f8',device='gpu'))
usm_ndarray(-0.)

• expm1

>>> dpt.expm1(dpt.asarray(-0.,dtype='f4',device='gpu'))
usm_ndarray(-0., dtype=float32)

>>> dpt.expm1(dpt.asarray(-0.,dtype='f8',device='gpu'))
usm_ndarray(0.)

[ndgrigorian]

The cause in both cases is std::sin, which does not preserve the sign bit of -0. on GPU.

Anywhere that std::sin is used, logic will need to be added to account for signed 0.