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[test] memory format tutorial #3351

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[test] memory format tutorial #3351

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clee2000 May 2, 2025
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clee2000 May 2, 2025
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1 change: 0 additions & 1 deletion .jenkins/validate_tutorials_built.py
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,6 @@
"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
]

def tutorial_source_dirs() -> List[Path]:
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10 changes: 4 additions & 6 deletions intermediate_source/memory_format_tutorial.py
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Expand Up @@ -341,18 +341,17 @@ def check_cl(*args, **kwargs):
return check_cl


old_attrs = dict()
old_attrs = []


def attribute(m):
old_attrs[m] = dict()
for i in dir(m):
e = getattr(m, i)
exclude_functions = ["is_cuda", "has_names", "numel", "stride", "Tensor", "is_contiguous", "__class__"]
if i not in exclude_functions and not i.startswith("_") and "__call__" in dir(e):
try:
old_attrs[m][i] = e
setattr(m, i, check_wrapper(e))
old_attrs.append((m, i, e))
except Exception as e:
print(i)
print(e)
Expand All @@ -372,9 +371,8 @@ def attribute(m):
######################################################################
# 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)
for m, i, e in reversed(old_attrs):
setattr(m, i, e)

######################################################################
# Work to do
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