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

Update E2E Benchmarks README #880

Merged
merged 3 commits into from
Apr 17, 2023
Merged

Update E2E Benchmarks README #880

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
a65e199
update e2e benchmarks readme
efajardo-nv Apr 13, 2023
922af78
Merge branch 'branch-23.07' into update-e2e-benchmarks-readme
efajardo-nv Apr 13, 2023
a1555ca
Merge branch 'branch-23.07' into update-e2e-benchmarks-readme
efajardo-nv Apr 14, 2023
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
8 changes: 4 additions & 4 deletions tests/benchmarks/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,14 +24,14 @@ Pull Docker image from NGC (https://ngc.nvidia.com/catalog/containers/nvidia:tri
Example:

```
docker pull nvcr.io/nvidia/tritonserver:22.08-py3
docker pull nvcr.io/nvidia/tritonserver:23.03-py3
```

##### Start Triton Inference Server container
```
cd ${MORPHEUS_ROOT}/models

docker run --gpus=1 --rm -p8000:8000 -p8001:8001 -p8002:8002 -v $PWD:/models nvcr.io/nvidia/tritonserver:22.08-py3 tritonserver --model-repository=/models/triton-model-repo --model-control-mode=explicit --load-model sid-minibert-onnx --load-model abp-nvsmi-xgb --load-model phishing-bert-onnx
docker run --gpus=1 --rm -p8000:8000 -p8001:8001 -p8002:8002 -v $PWD:/models nvcr.io/nvidia/tritonserver:23.03-py3 tritonserver --model-repository=/models/triton-model-repo --model-control-mode=explicit --load-model sid-minibert-onnx --load-model abp-nvsmi-xgb --load-model phishing-bert-onnx
```

##### Verify Model Deployments
Expand Down Expand Up @@ -119,12 +119,12 @@ The `--benchmark-warmup` and `--benchmark-warmup-iterations` options are used to

For example, to run E2E benchmarks on the SID NLP workflow:
```
pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_pipelines.py::test_sid_nlp_e2e
pytest -s --run_benchmark --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_pipelines.py::test_sid_nlp_e2e
```

To run E2E benchmarks on all workflows:
```
pytest -s --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_pipelines.py
pytest -s --run_benchmark --benchmark-enable --benchmark-warmup=on --benchmark-warmup-iterations=1 --benchmark-autosave test_bench_e2e_pipelines.py
```

The console output should look like this:
Expand Down