Skip to content

[DOC] Set strict export explicitly for API change #2430

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

[DOC] Set strict export explicitly for API change #2430

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 3 additions & 2 deletions docs/source/tutorials_source/pt2e_quant_x86_inductor.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -104,7 +104,8 @@ We will start by performing the necessary imports, capturing the FX Graph from t
# Note: requires torch >= 2.6
exported_model = export(
model,
example_inputs
example_inputs,
strict=True
)


Expand Down Expand Up @@ -266,7 +267,7 @@ The PyTorch 2 Export QAT flow is largely similar to the PTQ flow:
# Step 1. program capture
# NOTE: this API will be updated to torch.export API in the future, but the captured
# result shoud mostly stay the same
exported_model = export(m, example_inputs)
exported_model = export(m, example_inputs, strict=True)
# we get a model with aten ops

# Step 2. quantization-aware training
Expand Down
1 change: 1 addition & 0 deletions docs/source/tutorials_source/pt2e_quant_xpu_inductor.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -85,6 +85,7 @@ We will start by performing the necessary imports, capturing the FX Graph from t
exported_model = export(
model,
example_inputs,
strict=True
).module()


Expand Down