Array creation functions

The following functions in dpnp.tensor can be used to create new arrays:

arange	Returns evenly spaced values within the half-open interval [start, stop) as a one-dimensional array.
asarray	Converts input object to dpnp.tensor.usm_ndarray.
empty	Creates dpnp.tensor.usm_ndarray from uninitialized USM allocation.
empty_like	Returns an uninitialized dpnp.tensor.usm_ndarray with the same shape as the input array x.
eye	Creates dpnp.tensor.usm_ndarray with ones on the k-th diagonal.
from_dlpack	Constructs dpnp.tensor.usm_ndarray or numpy.ndarray instance from a Python object x that implements __dlpack__ protocol.
full	Returns a new dpnp.tensor.usm_ndarray having a specified shape and filled with fill_value.
full_like	Returns a new dpnp.tensor.usm_ndarray filled with fill_value and having the same shape as the input array x.
linspace	Returns dpnp.tensor.usm_ndarray array populated with evenly spaced numbers of specified interval.
meshgrid	Creates tuple of dpnp.tensor.usm_ndarray coordinate matrices from vectors.
ones	Returns a new dpnp.tensor.usm_ndarray having a specified shape and filled with ones.
ones_like	Returns a new dpnp.tensor.usm_ndarray filled with ones and having the same shape as the input array x.
tril	Returns the lower triangular part of a matrix (or a stack of matrices) x.
triu	Returns the upper triangular part of a matrix (or a stack of matrices) x.
zeros	Returns a new dpnp.tensor.usm_ndarray having a specified shape and filled with zeros.
zeros_like	Creates dpnp.tensor.usm_ndarray from USM allocation initialized with zeros.
from_numpy	Creates dpnp.tensor.usm_ndarray from instance of numpy.ndarray.
copy	Creates a copy of given instance of dpnp.tensor.usm_ndarray.