diff --git a/mindspore/ops/operations/debug_ops.py b/mindspore/ops/operations/debug_ops.py
index d4c17d15c0b..a6ec764bc7d 100644
--- a/mindspore/ops/operations/debug_ops.py
+++ b/mindspore/ops/operations/debug_ops.py
@@ -367,15 +367,15 @@ class Print(PrimitiveWithInfer):
 
     Note:
         In pynative mode, please use python print function.
-        In graph mode, the bool, int, float, tuple, and list would be converted into Tensor to print,
+        In graph mode, the bool, int and float would be converted into Tensor to print,
         str remains unchanged.
 
     Inputs:
-        - **input_x** (Union[Tensor, bool, int, float, str, tuple, list]) - The graph node to attach to.
+        - **input_x** (Union[Tensor, bool, int, float, str]) - The graph node to attach to.
           Supports multiple inputs which are separated by ','.
 
     Raises:
-        TypeError: If `input_x` is not one of the following: Tensor, bool, int, float, str, tuple, list.
+        TypeError: If `input_x` is not one of the following: Tensor, bool, int, float, str.
 
     Supported Platforms:
         ``Ascend`` ``GPU``
@@ -415,12 +415,9 @@ class Print(PrimitiveWithInfer):
     def infer_dtype(self, *inputs):
         # check argument types except the last one (io state).
         for ele in inputs[:-1]:
-            if isinstance(ele, (tuple, list)):
-                self.infer_dtype(*ele)
-            else:
-                validator.check_subclass("input", ele,
-                                         [mstype.tensor, mstype.int_, mstype.float_, mstype.bool_, mstype.string],
-                                         self.name)
+            validator.check_subclass("input", ele,
+                                     [mstype.tensor, mstype.int_, mstype.float_, mstype.bool_, mstype.string],
+                                     self.name)
         return mstype.int32