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[release] release data batch inference tests #57287
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| # 300 GB image classification parquet data up to 10 GPUs | ||
| # 10 g4dn.12xlarge. | ||
| - name: "image_classification_{{scaling}}" | ||
| python: "3.10" | ||
| group: data-batch-inference | ||
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| cluster: | ||
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| --data-directory 300G-image-data-synthetic-raw-parquet --data-format parquet | ||
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| - name: image_classification_chaos | ||
| python: "3.10" | ||
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| stable: False | ||
| # Don't use 'nightly_tests/dataset' as the working directory because we need to run | ||
| # the 'setup_chaos.py' script. | ||
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| - name: image_embedding_from_uris_{{case}} | ||
| python: "3.10" | ||
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| frequency: weekly | ||
| group: data-batch-inference | ||
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| script: python image_embedding_from_jsonl/main.py {{args}} | ||
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| - name: text_embedding_{{case}} | ||
| python: "3.10" | ||
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| frequency: weekly | ||
| group: data-batch-inference | ||
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| - __suffix__: aws | ||
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| - name: chaos_dask_on_ray_large_scale_test_no_spilling | ||
| python: "3.10" | ||
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| group: data-tests | ||
| working_dir: nightly_tests | ||
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| cluster_compute: dask_on_ray/dask_on_ray_stress_compute_gce.yaml | ||
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| - name: chaos_dask_on_ray_large_scale_test_spilling | ||
| python: "3.10" | ||
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| group: data-tests | ||
| working_dir: nightly_tests | ||
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To improve maintainability and reduce repetition, you can define a YAML anchor for the Python version here. This allows you to reuse the value in other test configurations within this file by using an alias, making future updates to the Python version much easier and less error-prone.