`dpt.reshape` changes strides of input array when reshaping to the same shape

[antonwolfy]

The below example demonstrates different behavior in reshape method of NumPy and dpctl:

import numpy, dpctl, dpctl.tensor as dpt

dpctl.__version__
# Out: '0.17.0dev0+325.g0cb2181547'

a = dpt.ones((2, 1))
a.shape, a.strides
# Out: ((2, 1), (1, 1))

b = dpt.reshape(a, (2, 1))
b.shape, b.strides
# Out: ((2, 1), (1, 0))    # the output strides are changed

a = numpy.ones((2, 1)
a.shape, a.strides
# Out: ((2, 1), (8, 8))

b = numpy.reshape(a, (2, 1))
b.shape, b.strides
# Out: ((2, 1), (8, 8))    # the output strides are the same as for input array "a"

So, the question here if it's expected that the strides of output array might be changed when reshaping to the same shape?