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34 lines
810 B
Python
34 lines
810 B
Python
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from mmengine.config import read_base
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from opencompass.models import LightllmAPI
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from opencompass.partitioners import NaivePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.tasks import OpenICLInferTask
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with read_base():
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from .datasets.humaneval.humaneval_gen import humaneval_datasets
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datasets = [*humaneval_datasets]
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models = [
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dict(
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abbr='LightllmAPI',
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type=LightllmAPI,
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url='http://localhost:8080/generate',
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max_out_len=1024,
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batch_size=8,
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generation_kwargs=dict(
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do_sample=False,
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ignore_eos=False,
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),
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),
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]
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infer = dict(
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partitioner=dict(type=NaivePartitioner),
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runner=dict(
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type=LocalRunner,
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max_num_workers=8,
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task=dict(type=OpenICLInferTask),
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),
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)
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