Fix typo in description

Author: antonwolfy

dpnp/dpnp_array.py

@@ -437,6 +437,7 @@ def asnumpy(self):
 
         Returns
         -------
+        numpy.ndarray
             An instance of :class:`numpy.ndarray` populated with the array content.
 
         """

dpnp/dpnp_iface.py

@@ -214,7 +214,7 @@ def get_dpnp_descriptor(ext_obj,
         return False
 
     # If input object is a scalar, it means it was allocated on host memory.
-    # We need to copy it to device memory according compute follows data paradigm.
+    # We need to copy it to device memory according to compute follows data paradigm.
     if isscalar(ext_obj):
         ext_obj = array(ext_obj, sycl_queue=alloc_queue)
 

dpnp/dpnp_iface_mathematical.py

@@ -1091,12 +1091,17 @@ def multiply(x1,
 
     Limitations
     -----------
-    Parameters ``x1`` and ``x2`` are supported as either :class:`dpnp.dpnp_array` or scalar.
+    Parameters ``x1`` and ``x2`` are supported as either :class:`dpnp.ndarray` or scalar.
     Parameters ``out``, ``where``, ``dtype`` and ``subok`` are supported with their default values.
     Keyword arguments ``kwargs`` are currently unsupported.
     Otherwise the functions will be executed sequentially on CPU.
     Input array data types are limited by supported DPNP :ref:`Data types`.
 
+    Returns
+    -------
+    y : dpnp.ndarray
+        The product of `x1` and `x2`, element-wise.
+
     Examples
     --------
     >>> import dpnp as dp