Change Tensor zero dimension check to make it faster

mindspore/common/tensor.py

@@ -92,9 +92,13 @@ class Tensor(Tensor_):
         if isinstance(shape, numbers.Number):
             shape = (shape,)
 
-        if input_data is not None and isinstance(input_data, (tuple, list, np.ndarray)) \
-                and np.array(input_data).ndim > 1 and np.array(input_data).size == 0:
-            raise ValueError("input_data can not contain zero dimension.")
+        if input_data is not None:
+            if isinstance(input_data, np.ndarray) and input_data.ndim > 1 and input_data.size == 0:
+                raise ValueError("input_data can not contain zero dimension.")
+            if isinstance(input_data, (tuple, list)) and np.array(input_data).ndim > 1 \
+                    and np.array(input_data).size == 0:
+                raise ValueError("input_data can not contain zero dimension.")
+
         if shape is not None and not (hasattr(init, "__enable_zero_dim__") and init.__enable_zero_dim__):
             if 0 in shape:
                 raise ValueError("Shape can not contain zero value.")