address comments

Author: Vahid Tavanashad

dpnp/dpnp_iface.py

@@ -624,7 +624,6 @@ def get_result_array(a, out=None, casting="safe"):
     if out is None:
         return a
 
-    dpnp.check_supported_arrays_type(out)
     if isinstance(out, dpt.usm_ndarray):
         out = dpnp_array._create_from_usm_ndarray(out)
 

dpnp/fft/dpnp_utils_fft.py

@@ -181,7 +181,7 @@ def _fft(a, norm, out, forward, in_place, axes=None):
         a = dpnp.moveaxis(a, axes, local_axes)
         a_shape_orig = a.shape
         local_shape = (-1,) + a_shape_orig[-len_axes:]
-        a = dpt.reshape(a.get_array(), local_shape)
+        a = dpnp.reshape(a, local_shape)
         index = 1
 
     a_strides = _standardize_strides_to_nonzero(a.strides, a.shape)
@@ -190,16 +190,15 @@ def _fft(a, norm, out, forward, in_place, axes=None):
     res = _scale_result(res, norm, forward, index)
 
     if axes is not None:  # batch_fft
-        res = dpt.reshape(res.get_array(), a_shape_orig)
+        res = dpnp.reshape(res, a_shape_orig)
         res = dpnp.moveaxis(res, local_axes, axes)
 
     result = dpnp.get_result_array(res, out=out, casting="same_kind")
     if out is None and not (
         result.flags.c_contiguous or result.flags.f_contiguous
     ):
         result = dpnp.ascontiguousarray(result)
-    else:
-        dpnp.synchronize_array_data(result)
+
     return result
 
 
@@ -214,9 +213,8 @@ def _scale_result(res, norm, forward, index):
     elif norm in [None, "backward"] and not forward:
         norm_factor = scale
 
-    usm_res = res.get_array()
-    usm_res /= norm_factor
-    return dpnp_array._create_from_usm_ndarray(usm_res)
+    res /= norm_factor
+    return res
 
 
 def _truncate_or_pad(a, shape, axes):