Amar3tto commented on code in PR #36437: URL: https://github.com/apache/beam/pull/36437#discussion_r2414546765
########## sdks/python/apache_beam/testing/benchmarks/inference/README.md: ########## @@ -100,4 +102,95 @@ Approximate size of the models used in the tests * bert-base-uncased: 417.7 MB * bert-large-uncased: 1.2 GB -All the performance tests are defined at [job_InferenceBenchmarkTests_Python.groovy](https://github.com/apache/beam/blob/master/.test-infra/jenkins/job_InferenceBenchmarkTests_Python.groovy). +## PyTorch Sentiment Analysis DistilBERT base + +**Model**: PyTorch Sentiment Analysis — DistilBERT (base-uncased) +**Accelerator**: CPU only +**Host**: 20 × n1-standard-2 (2 vCPUs, 7.5 GB RAM) + +Full pipeline implementation is available [here](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/inference/pytorch_sentiment_streaming.py). + +## VLLM Gemma 2b Batch Performance on Tesla T4 + +**Model**: google/gemma-2b-it +**Accelerator**: NVIDIA Tesla T4 GPU +**Host**: 3 × n1-standard-8 (8 vCPUs, 30 GB RAM) + +Full pipeline implementation is available [here](https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/inference/vllm_gemma_batch.py). + +## How to add a new ML benchmark pipeline + +1. Create the pipeline implementation + +- Location: sdks/python/apache_beam/examples/inference (e.g., pytorch_sentiment.py) +- Define CLI args and the logic +- Keep parameter names consistent (e.g., --bq_project, --bq_dataset, --metrics_table). + +2. Create the benchmark implementation + +- Location: sdks/python/apache_beam/testing/benchmarks/inference (e.g., pytorch_sentiment_benchmarks.py) +- Inherit from DataflowCostBenchmark class. +- Ensure the expected 'pcollection' parameter is passed to your builder. This parameter could be obtained from GCP Dataflow Jobs -> Your Job Page. +- Keep naming consistent with other benchmarks. + +3. Add an options txt file + +- Location: .github/workflows/load-tests-pipeline-options/<pipeline_name>.txt +- Include Dataflow and pipeline flags. Example: + +``` +--region=us-central1 +--machine_type=n1-standard-2 +--num_workers=75 +--disk_size_gb=50 +--autoscaling_algorithm=NONE +--staging_location=gs://temp-storage-for-perf-tests/loadtests +--temp_location=gs://temp-storage-for-perf-tests/loadtests +--requirements_file=apache_beam/ml/inference/your-requirements-file.txt Review Comment: No, it is correct -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
