NDarray remove zero-size output handling

python/mxnet/ndarray/ndarray.py

@@ -998,18 +998,7 @@ def _get_nd_basic_indexing(self, key):
             slc_key, self.shape, keep_none=False
         )
 
-        # handle zero-size outputs
-        shape = list(self.shape)
-        i = 0
-        zero_size = False
-        for b, e, s in zip(begin, end, step):  # pylint: disable=invalid-name
-            if b >= e and s > 0 or b <= e and s < 0:
-                shape[i] = 0
-                zero_size = True
-            i += 1
-        if zero_size:
-            sliced = empty(tuple(shape), dtype=self.dtype, ctx=self.context)
-        elif self._basic_indexing_slice_is_contiguous(slc_key, self.shape):
+        if self._basic_indexing_slice_is_contiguous(slc_key, self.shape):
             # Create a shared-memory view by using low-level flat slicing
             flat_begin, flat_end = self._basic_indexing_contiguous_flat_begin_end(
                 slc_key, self.shape