diff --git a/tools/pyi/gen_pyi.py b/tools/pyi/gen_pyi.py
index 4154188f058..24f6b46549c 100644
--- a/tools/pyi/gen_pyi.py
+++ b/tools/pyi/gen_pyi.py
@@ -433,6 +433,12 @@ def gen_pyi(
             "_is_functional_tensor": [
                 "def _is_functional_tensor(t: Tensor) -> _bool: ..."
             ],
+            "_from_functional_tensor": [
+                "def _from_functional_tensor(t: Tensor) -> Tensor: ..."
+            ],
+            "_to_functional_tensor": [
+                "def _to_functional_tensor(t: Tensor) -> Tensor: ..."
+            ],
             "range": [
                 "def range(start: Number, end: Number,"
                 " step: Number=1, *, out: Optional[Tensor]=None, {}) -> Tensor: ...".format(
diff --git a/torch/_tensor_str.py b/torch/_tensor_str.py
index a9b83f31b93..54758a530af 100644
--- a/torch/_tensor_str.py
+++ b/torch/_tensor_str.py
@@ -415,6 +415,9 @@ def _str_intern(inp, *, tensor_contents=None):
                 return "\n".join(f"  {line}" for line in s.split("\n"))
             strs = ",\n".join(indented_str(str(t), indent + 1) for t in torch.ops.aten.unbind.int(self, 0))
             tensor_str = f"[\n{strs}\n]"
+    elif torch._is_functional_tensor(self):
+        prefix = "_to_functional_tensor("
+        tensor_str = repr(torch._from_functional_tensor(self))
     else:
         if self.is_meta:
             suffixes.append('size=' + str(tuple(self.shape)))