diff --git a/.jenkins/pytorch/win-build.sh b/.jenkins/pytorch/win-build.sh
index 2de3022d40c..c518630c908 100755
--- a/.jenkins/pytorch/win-build.sh
+++ b/.jenkins/pytorch/win-build.sh
@@ -41,12 +41,12 @@ fi
 export SCRIPT_HELPERS_DIR=$SCRIPT_PARENT_DIR/win-test-helpers
 
 set +ex
-grep -E -R 'PyLong_(From|As)(Unsigned|)Long\(' --exclude=python_numbers.h torch/
+grep -E -R 'PyLong_(From|As)(Unsigned|)Long\(' --exclude=python_numbers.h --exclude=eval_frame.c torch/
 PYLONG_API_CHECK=$?
 if [[ $PYLONG_API_CHECK == 0 ]]; then
   echo "Usage of PyLong_{From,As}{Unsigned}Long API may lead to overflow errors on Windows"
   echo "because \`sizeof(long) == 4\` and \`sizeof(unsigned long) == 4\`."
-  echo "Please include \"torch/csrc/python_numbers.h\" and use the correspoding APIs instead."
+  echo "Please include \"torch/csrc/utils/python_numbers.h\" and use the correspoding APIs instead."
   echo "PyLong_FromLong -> THPUtils_packInt32 / THPUtils_packInt64"
   echo "PyLong_AsLong -> THPUtils_unpackInt (32-bit) / THPUtils_unpackLong (64-bit)"
   echo "PyLong_FromUnsignedLong -> THPUtils_packUInt32 / THPUtils_packUInt64"
diff --git a/torch/_dynamo/types.py b/torch/_dynamo/types.py
index c184f8d6771..4abba9014df 100644
--- a/torch/_dynamo/types.py
+++ b/torch/_dynamo/types.py
@@ -1,9 +1,17 @@
 import dataclasses
+import sys
 import types
 from typing import Callable, Dict, List, NamedTuple, Optional, OrderedDict, Union
 
 from typing_extensions import Protocol
 
+if sys.version_info >= (3, 11):
+    from torch._C._dynamo import eval_frame
+
+    DynamoFrameType = eval_frame._PyInterpreterFrame
+else:
+    DynamoFrameType = types.FrameType
+
 
 class GuardFail(NamedTuple):
     # A string repr of the piece of failed guard code we eval-ed
@@ -33,7 +41,9 @@ class GuardedCode:
 
 class DynamoCallbackFn(Protocol):
     def __call__(
-        self, frame: types.FrameType, cache_size: int
+        self,
+        frame: DynamoFrameType,
+        cache_size: int,
     ) -> Optional[GuardedCode]:
         ...
 
diff --git a/torch/csrc/dynamo/eval_frame.c b/torch/csrc/dynamo/eval_frame.c
index 70a0c204a82..0e39eca6c0f 100644
--- a/torch/csrc/dynamo/eval_frame.c
+++ b/torch/csrc/dynamo/eval_frame.c
@@ -152,6 +152,106 @@ THP_PyFrame_FastToLocalsWithError(_PyInterpreterFrame *frame) {
     return 0;
 }
 
+// We need to be able to return the _PyInterpreterFrame to python so create
+// a python binding for it
+
+typedef struct THPPyInterpreterFrame {
+  PyObject_HEAD
+  _PyInterpreterFrame* frame; // Borrowed reference
+} THPPyInterpreterFrame;
+
+THPPyInterpreterFrame* THPPyInterpreterFrame_New(_PyInterpreterFrame* frame);
+
+#define DECLARE_PYOBJ_ATTR(name) \
+static PyObject* THPPyInterpreterFrame_##name(THPPyInterpreterFrame* self, PyObject* _noargs) { \
+  PyObject* res = (PyObject*)self->frame->name; \
+  Py_XINCREF(res); \
+  return res; \
+}
+
+DECLARE_PYOBJ_ATTR(f_func)
+DECLARE_PYOBJ_ATTR(f_globals)
+DECLARE_PYOBJ_ATTR(f_builtins)
+DECLARE_PYOBJ_ATTR(f_locals)
+DECLARE_PYOBJ_ATTR(f_code)
+DECLARE_PYOBJ_ATTR(frame_obj)
+
+#undef DECLARE_PYOBJ_ATTR
+
+static THPPyInterpreterFrame* THPPyInterpreterFrame_previous(THPPyInterpreterFrame* self, PyObject* _noargs) {
+  THPPyInterpreterFrame* res = THPPyInterpreterFrame_New(self->frame->previous);
+  return res;
+}
+
+// This is not a true attribute of the class but we do access it in python and it is hard to implement
+// on the python side, so do it here:
+static PyObject* THPPyInterpreterFrame_f_lasti(THPPyInterpreterFrame* self, PyObject* _noargs) {
+  return PyLong_FromLong(_PyInterpreterFrame_LASTI(self->frame));
+}
+
+// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,cppcoreguidelines-avoid-non-const-global-variables,modernize-avoid-c-arrays)
+static struct PyGetSetDef THPDevice_properties[] = {
+    {"f_func", (getter)THPPyInterpreterFrame_f_func, NULL, NULL, NULL},
+    {"f_globals", (getter)THPPyInterpreterFrame_f_globals, NULL, NULL, NULL},
+    {"f_builtins", (getter)THPPyInterpreterFrame_f_builtins, NULL, NULL, NULL},
+    {"f_locals", (getter)THPPyInterpreterFrame_f_locals, NULL, NULL, NULL},
+    {"f_code", (getter)THPPyInterpreterFrame_f_code, NULL, NULL, NULL},
+    {"frame_obj", (getter)THPPyInterpreterFrame_frame_obj, NULL, NULL, NULL},
+    {"previous", (getter)THPPyInterpreterFrame_previous, NULL, NULL, NULL},
+    {"f_lasti", (getter)THPPyInterpreterFrame_f_lasti, NULL, NULL, NULL},
+    {NULL}};
+
+PyTypeObject THPPyInterpreterFrameType = {
+    PyVarObject_HEAD_INIT(NULL, 0) "torch._C.dynamo.eval_frame._PyInterpreterFrame", /* tp_name */
+    sizeof(THPPyInterpreterFrame), /* tp_basicsize */
+    0, /* tp_itemsize */
+    NULL, /* tp_dealloc */
+    0, /* tp_vectorcall_offset */
+    NULL, /* tp_getattr */
+    NULL, /* tp_setattr */
+    NULL, /* tp_reserved */
+    NULL, /* tp_repr */
+    NULL, /* tp_as_number */
+    NULL, /* tp_as_sequence */
+    NULL, /* tp_as_mapping */
+    NULL, /* tp_hash  */
+    NULL, /* tp_call */
+    NULL, /* tp_str */
+    NULL, /* tp_getattro */
+    NULL, /* tp_setattro */
+    NULL, /* tp_as_buffer */
+    Py_TPFLAGS_DEFAULT, /* tp_flags */
+    NULL, /* tp_doc */
+    NULL, /* tp_traverse */
+    NULL, /* tp_clear */
+    NULL, /* tp_richcompare */
+    0, /* tp_weaklistoffset */
+    NULL, /* tp_iter */
+    NULL, /* tp_iternext */
+    NULL, /* tp_methods */
+    NULL, /* tp_members */
+    THPDevice_properties, /* tp_getset */
+    NULL, /* tp_base */
+    NULL, /* tp_dict */
+    NULL, /* tp_descr_get */
+    NULL, /* tp_descr_set */
+    0, /* tp_dictoffset */
+    NULL, /* tp_init */
+    NULL, /* tp_alloc */
+    NULL, /* tp_new */
+};
+
+
+THPPyInterpreterFrame* THPPyInterpreterFrame_New(_PyInterpreterFrame* frame) {
+  PyTypeObject* type = (PyTypeObject*)&THPPyInterpreterFrameType;
+  THPPyInterpreterFrame* self = (THPPyInterpreterFrame*)type->tp_alloc(type, 0);
+  if (!self)
+    return NULL;
+  self->frame = frame;
+  return self;
+}
+
+
 #else
 #define THP_EVAL_API_FRAME_OBJECT PyFrameObject
 
@@ -292,8 +392,14 @@ inline static void enable_eval_frame_default(PyThreadState* tstate) {
 
 static inline PyObject* call_callback(
     PyObject* callable,
-    PyObject* frame,
+    THP_EVAL_API_FRAME_OBJECT* _frame,
     long cache_len) {
+
+#if IS_PYTHON_3_11_PLUS
+  THPPyInterpreterFrame* frame = THPPyInterpreterFrame_New(_frame);
+#else
+  PyFrameObject* frame = _frame;
+#endif
   PyObject* args = Py_BuildValue("(Ol)", frame, cache_len);
   if (args == NULL) {
     return NULL;
@@ -573,7 +679,7 @@ static PyObject* _custom_eval_frame(
   // TODO(alband): This is WRONG for python3.11+ we pass in a _PyInterpreterFrame
   // that gets re-interpreted as a PyObject (which it is NOT!)
   PyObject* result =
-      call_callback(callback, (PyObject*)frame, cache_size(extra));
+      call_callback(callback, frame, cache_size(extra));
   if (result == NULL) {
     // internal exception, returning here will leak the exception into user code
     // this is useful for debugging -- but we dont want it to happen outside of
@@ -761,5 +867,17 @@ PyObject* torch_c_dynamo_eval_frame_init(void) {
 
   noargs = PyTuple_New(0);
   dotzerokey = PyUnicode_InternFromString(".0");
-  return PyModule_Create(&_module);
+  PyObject* module = PyModule_Create(&_module);
+
+#if IS_PYTHON_3_11_PLUS
+  if (PyType_Ready(&THPPyInterpreterFrameType) < 0) {
+    return NULL;
+  }
+  Py_INCREF(&THPPyInterpreterFrameType);
+  if (PyModule_AddObject(module, "_PyInterpreterFrame", (PyObject*)&THPPyInterpreterFrameType) != 0) {
+    return NULL;
+  }
+#endif
+
+  return module;
 }