mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-08-07 12:07:43 +00:00
d6ce70b551
* fix model input shape bug and costeer_model bug * fix a bug * fix a bug in docker result extraction * a system-level optimization * add a filter of stdout * update * add stdout to model * model training_hyperparameters update * quant scenario * update some quant settings * llm choose action * Thompson Sampling Bandit for action choosing * refine both scens * add trace messages for quant scen * fix some bugs * fix some bugs * update * update * update * fix * fix * fix * update for merge * fix ci * fix some bugs * fix ci * fix ci * fix ci * fix ci * refactor * default qlib4rdagent local env downloading * fix ci * fix ci * fix a bug * fix ci * fix: align all prompts on template (#908) * use template to render all prompts * fix CI --------- Co-authored-by: Xu Yang <xuyang1@microsoft.com> * add fin_quant in cli * fix a bug * fix ci * fix some bugs * refactor * remove the columns in hypothesis if no value generated in this column * fix a bug * fix ci * fix conda env * add qlib gitignore * remove existed qlib folder & install torch in qlib conda * fix workspace ui in feedback * align model config in coder and runner in docker or conda * fix CI * fix CI --------- Co-authored-by: Xu Yang <peteryang@vip.qq.com> Co-authored-by: Xu Yang <xuyang1@microsoft.com>
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
from copy import deepcopy
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from rdagent.core.experiment import Task
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from rdagent.core.scenario import Scenario
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from rdagent.utils.agent.tpl import T
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class GeneralModelScenario(Scenario):
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def __init__(self) -> None:
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super().__init__()
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self._background = deepcopy(T(".prompts:general_model_background").r())
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self._output_format = deepcopy(T(".prompts:general_model_output_format").r())
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self._interface = deepcopy(T(".prompts:general_model_interface").r())
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self._simulator = deepcopy(T(".prompts:general_model_simulator").r())
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self._rich_style_description = deepcopy(T(".prompts:general_model_rich_style_description").r())
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@property
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def background(self) -> str:
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return self._background
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@property
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def source_data(self) -> str:
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raise NotImplementedError("source_data of GeneralModelScenario is not implemented")
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@property
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def output_format(self) -> str:
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return self._output_format
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@property
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def interface(self) -> str:
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return self._interface
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@property
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def simulator(self) -> str:
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return self._simulator
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@property
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def rich_style_description(self) -> str:
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return self._rich_style_description
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def get_scenario_all_desc(
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self, task: Task | None = None, filtered_tag: str | None = None, simple_background: bool | None = None
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) -> str:
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return f"""Background of the scenario:
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{self.background}
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The interface you should follow to write the runnable code:
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{self.interface}
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The output of your code should be in the format:
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{self.output_format}
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The simulator user can use to test your model:
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{self.simulator}
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"""
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