Add asnumpy() method for dpnp_array

dpnp/dpnp_array.py

@@ -278,17 +278,22 @@ def __setitem__(self, key, val):
  # '__setstate__',
  # '__sizeof__',
 
+
     def __str__(self):
-        """ Output values from the array to standard output
+        """
+        Output values from the array to standard output.
 
-        Example:
-          [[ 136.  136.  136.]
-           [ 272.  272.  272.]
-           [ 408.  408.  408.]]
+        Examples
+        --------
+        >>> print(a)
+        [[ 136.  136.  136.]
+         [ 272.  272.  272.]
+         [ 408.  408.  408.]]
 
         """
 
-        return str(dpnp.asnumpy(self._array_obj))
+        return str(self.asnumpy())
+
 
     def __sub__(self, other):
         return dpnp.subtract(self, other)
@@ -425,6 +430,20 @@ def argsort(self, axis=-1, kind=None, order=None):
         """
         return dpnp.argsort(self, axis, kind, order)
 
+
+    def asnumpy(self):
+        """
+        Copy content of the array into :class:`numpy.ndarray` instance of the same shape and data type.
+
+        Returns
+        -------
+            An instance of :class:`numpy.ndarray` populated with the array content.
+
+        """
+
+        return dpt.asnumpy(self._array_obj)
+
+
     def astype(self, dtype, order='K', casting='unsafe', subok=True, copy=True):
         """Copy the array with data type casting.
 

dpnp/dpnp_iface.py

@@ -139,7 +139,7 @@ def asnumpy(input, order='C'):
 
     """
     if isinstance(input, dpnp_array):
-        return dpt.asnumpy(input.get_array())
+        return input.asnumpy()
 
     if isinstance(input, dpt.usm_ndarray):
         return dpt.asnumpy(input)