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

@@ -1089,9 +1089,14 @@ def multiply(x1,
 
     For full documentation refer to :obj:`numpy.multiply`.
 
+    Returns
+    -------
+    y : dpnp.ndarray
+        The product of `x1` and `x2`, element-wise.
+
     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.

dpnp/dpnp_utils/dpnp_algo_utils.pyx

@@ -221,7 +221,7 @@ def unwrap_array(x1):
 def get_common_allocation_queue(objects):
     """
     Given a list of objects returns the queue which can be used for a memory allocation
-    to keep compute follows data paradigm, or returns `None` if the default queue can be used.
+    to follow compute follows data paradigm, or returns `None` if the default queue can be used.
     An exception will be raised, if the paradigm is broked for the given list of objects.
     """
     if not isinstance(objects, (list, tuple)):