Adding a quick way for users to test model eval for hf models #328
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Summary: This script allows users to run evaluation and try out torchao APIs Test Plan: python hf_eval.py Reviewers: Subscribers: Tasks: Tags:
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/328
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (3 Unrelated Failures)As of commit 516bdf7 with merge base e2196fd ( FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
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scripts/hf_eval.py
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| parser.add_argument('--task_list', nargs='+', type=str, default=["wikitext"], help='List of lm-eluther tasks to evaluate usage: --tasks task1 task2') | ||
| parser.add_argument('--limit', type=int, default=None, help='Number of eval samples to evaluate') | ||
| parser.add_argument('--precision', type=lambda x: getattr(torch, x.split(".")[-1]), default=torch.bfloat16, help='dtype precision to use') | ||
| parser.add_argument('--device', type=str, default="cuda", help='Dvice to use for evaluation') |
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Summary: This script allows users to run evaluation and try out torchao APIs
Test Plan: python hf_eval.py
Reviewers:
Subscribers:
Tasks:
Tags: