Implemented dpnp.fromfunction, dpnp.fromiter and dpnp.loadtxt (IntelP…

…ython#1728)

* Implemented dpnp.fromfunction

* Added dpnp.fromiter

* Added dpnp.loadtxt

* Aligned array creation page with numpy content

* Alligned usm_type description across all aray creation functions

* Change usm_type to None default value for function with input array as argument

* Updated to use dpnp.check_limitations

* Rollbacked changed default usm_type for linspace, logspace and geomspace

* Added handling of usm_type=None to array creation functions

doc/reference/creation.rst

@@ -1,11 +1,11 @@
 .. _routines.creation:
 
-Array Creation Routines
+Array creation routines
 =======================
 
 .. https://docs.scipy.org/doc/numpy/reference/routines.array-creation.html
 
-Basic creation routines
+From shape or value
 -----------------------
 
 .. autosummary::
@@ -24,7 +24,7 @@ Basic creation routines
    dpnp.full_like
 
 
-Creation from other data
+From existing data
 ------------------------
 
 .. autosummary::
@@ -35,6 +35,7 @@ Creation from other data
    dpnp.asarray
    dpnp.asanyarray
    dpnp.ascontiguousarray
+   dpnp.astype
    dpnp.copy
    dpnp.frombuffer
    dpnp.from_dlpack
@@ -61,7 +62,7 @@ Numerical ranges
    dpnp.ogrid
 
 
-Matrix creation
+Building matrices
 ---------------
 
 .. autosummary::
@@ -82,5 +83,4 @@ The Matrix class
    :toctree: generated/
    :nosignatures:
 
-   dpnp.mat
    dpnp.bmat

dpnp/dpnp_algo/dpnp_arraycreation.py

@@ -289,9 +289,9 @@ class dpnp_nd_grid:
     def __init__(
         self, sparse=False, device=None, usm_type="device", sycl_queue=None
     ):
-        dpu.validate_usm_type(usm_type, allow_none=False)
+        dpu.validate_usm_type(usm_type, allow_none=True)
         self.sparse = sparse
-        self.usm_type = usm_type
+        self.usm_type = "device" if usm_type is None else usm_type
         self.sycl_queue_normalized = dpnp.get_normalized_queue_device(
             sycl_queue=sycl_queue, device=device
         )