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merged 2 commits into from
Oct 9, 2025
Merged

tune examples #255

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986d585
tune examples
xadupre Oct 8, 2025
48147d0
fixe
xadupre Oct 9, 2025
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42 changes: 32 additions & 10 deletions _doc/examples/plot_export_tiny_llm_dim01.py
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Original file line number Diff line number Diff line change
Expand Up @@ -83,31 +83,50 @@


def export_model(
model, dynamic_shapes, inputs, cache=False, oblivious=False, rt=False, cache_patch=False
model,
dynamic_shapes,
inputs,
cache=False,
oblivious=False,
rt=False,
cache_patch=False,
strict=False,
):
if cache and not cache_patch:
with register_additional_serialization_functions(patch_transformers=True):
return export_model(model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt)
return export_model(
model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt, strict=strict
)
if cache_patch:
with torch_export_patches(
patch_torch=cache_patch in ("all", "torch", True, 1),
patch_transformers=cache_patch in ("all", "transformers", True, 1),
):
return export_model(model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt)
return export_model(
model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt, strict=strict
)
if oblivious:
with torch.fx.experimental._config.patch(backed_size_oblivious=True):
return export_model(model, dynamic_shapes, inputs, rt=rt)
return export_model(model, dynamic_shapes, inputs, rt=rt, strict=strict)
return torch.export.export(
model,
(),
inputs,
dynamic_shapes=dynamic_shapes,
strict=strict,
prefer_deferred_runtime_asserts_over_guards=rt,
)


def try_export_model(
model, dynamic_shapes, inputs, cache=False, oblivious=False, rt=False, cache_patch=False
model,
dynamic_shapes,
inputs,
cache=False,
oblivious=False,
rt=False,
cache_patch=False,
strict=False,
):
try:
return export_model(
Expand All @@ -118,6 +137,7 @@ def try_export_model(
oblivious=oblivious,
rt=rt,
cache_patch=cache_patch,
strict=strict,
)
except Exception as e:
return e
Expand All @@ -140,14 +160,16 @@ def validation(ep, input_sets, expected):

results = []

possibilities = [*[[0, 1] for _ in range(4)], list(input_sets)]
possibilities = [*[[0, 1] for _ in range(5)], list(input_sets)]
possibilities[1] = [0, "all", "torch", "transformers"]
with tqdm(list(itertools.product(*possibilities))) as pbar:
for cache, cache_patch, oblivious, rt, inputs in pbar:
for cache, cache_patch, strict, oblivious, rt, inputs in pbar:
if cache_patch and not cache:
# patches include caches.
continue
kwargs = dict(cache=cache, cache_patch=cache_patch, oblivious=oblivious, rt=rt)
kwargs = dict(
cache=cache, cache_patch=cache_patch, strict=strict, oblivious=oblivious, rt=rt
)
legend = "-".join(
(k if isinstance(v, int) else f"{k}:{v}") for k, v in kwargs.items() if v
)
Expand Down Expand Up @@ -203,7 +225,7 @@ def validation(ep, input_sets, expected):
# The validation failures.

invalid = df[(df.EXPORT == 1) & (df.WORKS == 0)].pivot(
index=["cache", "cache_patch", "oblivious", "rt", "export_with"],
index=["cache", "cache_patch", "strict", "oblivious", "rt", "export_with"],
columns=["run_with"],
values=["WORKS", "ERR-RUN"],
)
Expand All @@ -213,7 +235,7 @@ def validation(ep, input_sets, expected):
# %% Successes.

success = df[(df.EXPORT == 1) & (df.WORKS == 1)].pivot(
index=["cache", "cache_patch", "oblivious", "rt", "export_with"],
index=["cache", "cache_patch", "strict", "oblivious", "rt", "export_with"],
columns=["run_with"],
values=["WORKS"],
)
Expand Down
39 changes: 31 additions & 8 deletions _doc/examples/plot_export_tiny_llm_dim01_onnx_custom.py
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Original file line number Diff line number Diff line change
Expand Up @@ -77,17 +77,28 @@


def export_model(
model, dynamic_shapes, inputs, cache=False, oblivious=False, rt=False, cache_patch=False
model,
dynamic_shapes,
inputs,
cache=False,
oblivious=False,
rt=False,
cache_patch=False,
strict=False,
):
if cache and not cache_patch:
with register_additional_serialization_functions(patch_transformers=True):
return export_model(model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt)
return export_model(
model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt, strict=strict
)
if cache_patch:
with torch_export_patches(
patch_torch=cache_patch in ("all", "torch", True, 1),
patch_transformers=cache_patch in ("all", "transformers", True, 1),
):
return export_model(model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt)
return export_model(
model, dynamic_shapes, inputs, oblivious=oblivious, rt=rt, strict=strict
)
return to_onnx(
model,
(),
Expand All @@ -96,12 +107,20 @@ def export_model(
export_options=ExportOptions(
prefer_deferred_runtime_asserts_over_guards=rt,
backed_size_oblivious=oblivious,
strict=strict,
),
)


def try_export_model(
model, dynamic_shapes, inputs, cache=False, oblivious=False, rt=False, cache_patch=False
model,
dynamic_shapes,
inputs,
cache=False,
oblivious=False,
rt=False,
cache_patch=False,
strict=False,
):
try:
return export_model(
Expand All @@ -112,6 +131,7 @@ def try_export_model(
oblivious=oblivious,
rt=rt,
cache_patch=cache_patch,
strict=strict,
)
except Exception as e:
return e
Expand Down Expand Up @@ -155,16 +175,19 @@ def validation(onx, input_sets, expected, catch_exception=True):
possibilities = [
[0, 1],
[0, "all", "torch", "transformers"],
[0, 1],
[0, 1, "auto", "half"],
[0, 1],
list(input_sets),
]
with tqdm(list(itertools.product(*possibilities))) as pbar:
for cache, cache_patch, oblivious, rt, inputs in pbar:
for cache, cache_patch, strict, oblivious, rt, inputs in pbar:
if cache_patch and not cache:
# patches include caches.
continue
kwargs = dict(cache=cache, cache_patch=cache_patch, oblivious=oblivious, rt=rt)
kwargs = dict(
cache=cache, cache_patch=cache_patch, oblivious=oblivious, rt=rt, strict=strict
)
legend = "-".join(
(k if isinstance(v, int) else f"{k}:{v}") for k, v in kwargs.items() if v
)
Expand Down Expand Up @@ -220,7 +243,7 @@ def validation(onx, input_sets, expected, catch_exception=True):
# The validation failures.

invalid = df[(df.EXPORT == 1) & (df.WORKS == 0)].pivot(
index=["cache", "cache_patch", "oblivious", "rt", "export_with"],
index=["cache", "cache_patch", "strict", "oblivious", "rt", "export_with"],
columns=["run_with"],
values=["WORKS", "ERR-RUN"],
)
Expand All @@ -230,7 +253,7 @@ def validation(onx, input_sets, expected, catch_exception=True):
# %% Successes.

success = df[(df.EXPORT == 1) & (df.WORKS == 1)].pivot(
index=["cache", "cache_patch", "oblivious", "rt", "export_with"],
index=["cache", "cache_patch", "strict", "oblivious", "rt", "export_with"],
columns=["run_with"],
values=["WORKS"],
)
Expand Down
8 changes: 1 addition & 7 deletions _unittests/ut_xrun_doc/test_documentation_examples.py
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Original file line number Diff line number Diff line change
Expand Up @@ -109,13 +109,6 @@ def add_test_methods(cls):
):
reason = "torch<2.8"

if (
not reason
and name in {"plot_export_tiny_llm_dim01.py"}
and not has_torch("2.9")
):
reason = "torch<2.9"

if (
not reason
and name in {"plot_dump_intermediate_results.py"}
Expand All @@ -131,6 +124,7 @@ def add_test_methods(cls):
reason = "unstable, let's wait for the next version"

if not reason and name in {
"plot_export_tiny_llm_dim01.py",
"plot_export_tiny_llm_dim01_onnx.py",
"plot_export_tiny_llm_dim01_onnx_custom.py",
}:
Expand Down
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