mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-29 08:27:43 +00:00
Xu Yang
1d9b4cd2ec
* use CoSTEER as component name * rename factorimplementation to avoid confusion * rename modelimplementation * align benchmark and evolving evaluators * add scenario to evaluator init function * rename all factorimplementationknowledge in CoSTEER * remove all scenario related information in component * remove useless code --------- Co-authored-by: xuyang1 <xuyang1@microsoft.com>
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
"""
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TODO: Model Structure RD-Loop
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TODO: move the following code to a new class: Model_RD_Agent
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"""
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# import_from
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from rdagent.app.model_proposal.conf import MODEL_PROP_SETTING
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from rdagent.core.proposal import (
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Experiment2Feedback,
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Hypothesis2Experiment,
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HypothesisSet,
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Trace,
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)
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from rdagent.core.task_generator import TaskGenerator
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# load_from_cls_uri
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scen = load_from_cls_uri(MODEL_PROP_SETTING.scen)()
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hypothesis_gen = load_from_cls_uri(MODEL_PROP_SETTING.hypothesis_gen)(scen)
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hypothesis2task: Hypothesis2Experiment = load_from_cls_uri(MODEL_PROP_SETTING.hypothesis2task)()
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task_gen: TaskGenerator = load_from_cls_uri(MODEL_PROP_SETTING.task_gen)(scen) # for implementation
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imp2feedback: Experiment2Feedback = load_from_cls_uri(MODEL_PROP_SETTING.imp2feedback)(scen) # for implementation
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iter_n = MODEL_PROP_SETTING.iter_n
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trace = Trace()
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hypothesis_set = HypothesisSet()
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for _ in range(iter_n):
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hypothesis = hypothesis_gen.gen(trace)
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task = hypothesis2task.convert(hypothesis)
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imp = task_gen.gen(task)
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imp.execute()
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feedback = imp2feedback.summarize(imp)
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trace.hist.append((hypothesis, feedback))
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