mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-28 07:57:44 +00:00
Xu Yang
6809154ed7
* several improvement on kaggle loop * small refinement on prompt * fix bugs * add the score of each model in every experiment * fix ci error * fix error in ventilator tpl * fix CI --------- Co-authored-by: Xu Yang <xuyang1@microsoft.com> Co-authored-by: Bowen Xian <xianbowen@outlook.com> Co-authored-by: WinstonLiye <1957922024@qq.com> Co-authored-by: TPLin22 <tplin2@163.com>
26 lines
976 B
Python
26 lines
976 B
Python
import pickle
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import shutil
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from pathlib import Path
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from typing import Any, Tuple
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from rdagent.core.developer import Developer
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from rdagent.core.experiment import ASpecificExp, Experiment
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from rdagent.oai.llm_utils import md5_hash
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class CachedRunner(Developer[ASpecificExp]):
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def get_cache_key(self, exp: Experiment) -> str:
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all_tasks = []
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for based_exp in exp.based_experiments:
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all_tasks.extend(based_exp.sub_tasks)
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all_tasks.extend(exp.sub_tasks)
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task_info_list = [task.get_task_information() for task in all_tasks]
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task_info_str = "\n".join(task_info_list)
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return md5_hash(task_info_str)
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def assign_cached_result(self, exp: Experiment, cached_res: Experiment) -> Experiment:
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if exp.based_experiments and exp.based_experiments[-1].result is None:
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exp.based_experiments[-1].result = cached_res.based_experiments[-1].result
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exp.result = cached_res.result
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return exp
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