mirror of
https://github.com/NicolasBohn/NexQuant.git
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you-n-g
c707a40073
* scen * scen2 * app * fix * Simplify workflow * We can share more code in new scenarios * rename model to rd loop * Optimize data path * Update rdagent/app/data_mining/model.py * Add TODO * Support GPU * gpu --------- Co-authored-by: SH-Src <suhan.c@outlook.com>
65 lines
2.5 KiB
Python
65 lines
2.5 KiB
Python
"""
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Model workflow with session control
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It is from `rdagent/app/qlib_rd_loop/model.py` and try to replace `rdagent/app/qlib_rd_loop/RDAgent.py`
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"""
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from typing import Any
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from rdagent.components.workflow.conf import BasePropSetting
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from rdagent.core.developer import Developer
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from rdagent.core.proposal import (
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Hypothesis2Experiment,
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HypothesisExperiment2Feedback,
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HypothesisGen,
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Trace,
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)
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from rdagent.core.scenario import Scenario
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from rdagent.core.utils import import_class
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from rdagent.log import rdagent_logger as logger
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from rdagent.utils.workflow import LoopMeta, LoopBase
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class RDLoop(LoopBase, metaclass=LoopMeta):
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def __init__(self, PROP_SETTING: BasePropSetting):
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scen: Scenario = import_class(PROP_SETTING.scen)()
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self.hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.hypothesis_gen)(scen)
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self.hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.hypothesis2experiment)()
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self.coder: Developer = import_class(PROP_SETTING.coder)(scen)
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self.runner: Developer = import_class(PROP_SETTING.runner)(scen)
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self.summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.summarizer)(scen)
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self.trace = Trace(scen=scen)
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super().__init__()
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def propose(self, prev_out: dict[str, Any]):
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with logger.tag("r"): # research
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hypothesis = self.hypothesis_gen.gen(self.trace)
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logger.log_object(hypothesis, tag="hypothesis generation")
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return hypothesis
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def exp_gen(self, prev_out: dict[str, Any]):
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with logger.tag("r"): # research
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exp = self.hypothesis2experiment.convert(prev_out["propose"], self.trace)
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logger.log_object(exp.sub_tasks, tag="experiment generation")
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return exp
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def coding(self, prev_out: dict[str, Any]):
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with logger.tag("d"): # develop
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exp = self.coder.develop(prev_out["exp_gen"])
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logger.log_object(exp.sub_workspace_list, tag="coder result")
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return exp
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def running(self, prev_out: dict[str, Any]):
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with logger.tag("ef"): # evaluate and feedback
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exp = self.runner.develop(prev_out["coding"])
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logger.log_object(exp, tag="runner result")
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return exp
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def feedback(self, prev_out: dict[str, Any]):
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feedback = self.summarizer.generate_feedback(prev_out["running"], prev_out["propose"], self.trace)
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logger.log_object(feedback, tag="feedback")
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self.trace.hist.append((prev_out["propose"],prev_out["running"] , feedback))
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