Skip to content
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

Jump to bottom

replace pytorch exporter example link #1012

Merged
merged 1 commit into from
Mar 24, 2024
Merged

replace pytorch exporter example link #1012

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
2 changes: 1 addition & 1 deletion FAQ.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ quantized_model = mct.keras_load_quantized_model('my_model.keras')

#### PyTorch

PyTorch models can be exported as onnx models. An example of loading a saved onnx model can be found [here](https://github.com/sony/model_optimization/blob/main/docs/api/experimental_api_docs/modules/exporter.html#use-exported-model-for-inference).
PyTorch models can be exported as onnx models. An example of loading a saved onnx model can be found [here](https://github.com/sony/model_optimization/blob/main/tutorials/notebooks/pytorch/export/example_pytorch_export.ipynb).

*Note:* Running inference on an ONNX model in the `onnxruntime` package has a high latency.
Inference on the target platform (e.g. the IMX500) is not affected by this latency.
Expand Down
Loading