Files
AMD-SHARK-Studio/tank
Ean Garvey 3514822cac Improvements to pytest benchmarks. (#267)
* Add ONNX env var flags for venv setup.

* Setup arguments for ONNX benchmarking via pytest.

* Enable ONNX benchmarking on MiniLM via pytest (experimental)

* Fix sequence lengths to 128 for TF model creation and fix issue with benchmarks.

* Disable CI CPU benchmarks on A100, change some default args.

* add xfails for roberta TF model tests on GPU.
2022-08-17 02:29:48 -05:00
..
2022-07-29 09:34:50 -07:00
2022-06-12 21:53:59 -07:00
2022-08-04 13:14:57 -05:00

To run the fine tuning example, from the root SHARK directory, run:

IMPORTER=1 ./setup_venv.sh
source shark.venv/bin/activate
pip install jupyter tf-models-nightly tf-datasets
jupyter-notebook

if running from a google vm, you can view jupyter notebooks on your local system with:

gcloud compute ssh <YOUR_INSTANCE_DETAILS> --ssh-flag="-N -L localhost:8888:localhost:8888"