diff --git a/.jenkins/validate_tutorials_built.py b/.jenkins/validate_tutorials_built.py
index f4586c19b3..bc86f7f7f5 100644
--- a/.jenkins/validate_tutorials_built.py
+++ b/.jenkins/validate_tutorials_built.py
@@ -51,8 +51,7 @@
     "intermediate_source/text_to_speech_with_torchaudio",
     "intermediate_source/tensorboard_profiler_tutorial", # reenable after 2.0 release.
     "advanced_source/semi_structured_sparse", # reenable after 3303 is fixed.
-    "intermediate_source/torchrec_intro_tutorial", # reenable after 3302 is fixe
-    "intermediate_source/memory_format_tutorial", # causes other tutorials like torch_logs fail. "state" issue, reseting dynamo didn't help
+    "intermediate_source/torchrec_intro_tutorial" # reenable after 3302 is fixe
 ]
 
 def tutorial_source_dirs() -> List[Path]:
diff --git a/intermediate_source/memory_format_tutorial.py b/intermediate_source/memory_format_tutorial.py
index 26bc5c9d53..ee436832db 100644
--- a/intermediate_source/memory_format_tutorial.py
+++ b/intermediate_source/memory_format_tutorial.py
@@ -358,23 +358,29 @@ def attribute(m):
                 print(e)
 
 
-attribute(torch.Tensor)
-attribute(torch.nn.functional)
-attribute(torch)
-
+#############################
+# To debug which operators don't support channels last format, execute
+# the following lines:
+#
+# .. code-block:: python
+#
+#    attribute(torch.Tensor)
+#    attribute(torch.nn.functional)
+#    attribute(torch)
+#
 
 ######################################################################
 # If you found an operator that doesn't support channels last tensors
-# and you want to contribute, feel free to use following developers
-# guide https://github.com/pytorch/pytorch/wiki/Writing-memory-format-aware-operators.
+# and you want to contribute, see following developers
+# `Writing Memory Format Aware Operators <https://github.com/pytorch/pytorch/wiki/Writing-memory-format-aware-operators>`__.
 #
 
 ######################################################################
-# Code below is to recover the attributes of torch.
-
-for (m, attrs) in old_attrs.items():
-    for (k, v) in attrs.items():
-        setattr(m, k, v)
+# The code below is to recover the attributes of torch.
+#
+# for (m, attrs) in old_attrs.items():
+#    for (k, v) in attrs.items():
+#        setattr(m, k, v)
 
 ######################################################################
 # Work to do