[Userbenchmark] Add configuration support for test_bench
#2592
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shink
commented
Feb 12, 2025
userbenchmark/test_bench/run.py
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| model_set = set(list_models(internal=False)) | ||
| device = config_obj["device"] | ||
| configs = [] | ||
| for model in model_set: | ||
| cfg = next(filter(lambda c: c["model"] == model, config_obj["models"]), None) | ||
| tests = cfg.get("tests", "eval") if cfg is not None else ["eval"] | ||
| for test in tests: | ||
| config = TorchBenchModelConfig( | ||
| name=model, | ||
| device=device, | ||
| test=test, | ||
| batch_size=cfg.get("batch_size", None) if cfg is not None else None, | ||
| extra_args=[], | ||
| skip=cfg is not None and cfg.get("skip", False), | ||
| ) | ||
| print(config) | ||
| configs.append(config) | ||
| return configs |
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This means that we always list all models and apply configuration on them.
|
@xuzhao9 Could you please help review this? Any comments are welcome! |
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fixes: #2590
Configuration file might like this: