Skip to content

update api usage example of intel_extension_for_pytorch recipe #1935

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.

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

Merged
merged 5 commits into from
Oct 7, 2022
Merged
Changes from all commits
Commits
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
4 changes: 2 additions & 2 deletions recipes_source/intel_extension_for_pytorch.rst
Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ Float32
model.set_state_dict(torch.load(PATH))
optimizer.set_state_dict(torch.load(PATH))
# Invoke optimize function against the model object and optimizer object
model, optimizer = ipex.optimize(model, optimizer, dtype=torch.float32)
model, optimizer = ipex.optimize(model, optimizer=optimizer)

for images, label in train_loader():
# Setting memory_format to torch.channels_last could improve performance with 4D input data. This is optional.
Expand Down Expand Up @@ -131,7 +131,7 @@ BFloat16
model.set_state_dict(torch.load(PATH))
optimizer.set_state_dict(torch.load(PATH))
# Invoke optimize function against the model object and optimizer object with data type set to torch.bfloat16
model, optimizer = ipex.optimize(model, optimizer, dtype=torch.bfloat16)
model, optimizer = ipex.optimize(model, optimizer=optimizer, dtype=torch.bfloat16)

for images, label in train_loader():
with torch.cpu.amp.autocast():
Expand Down