dpnp.fmod() doesn't work properly with a scalar

[antonwolfy]

The PR is aimed to implement support of dpnp.power call where one of arguments is a scalar.

Currently, since #1201, it raises not-implemented exception in dpnp. This is because dpnp was falling back on NumPy implementation in that use case, but has to call an internal kernel function from the backend.

The PR proposes to copy a scalar data from host memory into USM allocated memory, which means to create zero-dimension dpnp array from the scalar. This way the power of array with a scalar or the power of scalar with an array will be handled in the same way as power with two arrays, which already works fine in dpnp.

Note that if some input argument is a scalar and another one is an array, memory for the scalar will be allocated on the same SYCL device and with the same USM type as the array has. It's required to proceed with further computing and to be compliant with compute follows data paradigm (all input data has to reside on the same device).

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