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43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
from mmengine.config import read_base
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from opencompass.models import PanGu
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from opencompass.partitioners import NaivePartitioner
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from opencompass.runners.local_api import LocalAPIRunner
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from opencompass.tasks import OpenICLInferTask
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with read_base():
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from opencompass.configs.summarizers.medium import summarizer
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from opencompass.configs.datasets.ceval.ceval_gen import ceval_datasets
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datasets = [
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*ceval_datasets,
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]
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models = [
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dict(
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abbr='pangu',
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type=PanGu,
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path='pangu',
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access_key='xxxxxx',
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secret_key='xxxxxx',
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url = 'xxxxxx',
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# url of token sever, used for generate token, like "https://xxxxxx.myhuaweicloud.com/v3/auth/tokens",
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token_url = 'xxxxxx',
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# scope-project-name, used for generate token
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project_name = 'xxxxxx',
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query_per_second=1,
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max_out_len=2048,
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max_seq_len=2048,
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batch_size=8),
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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=LocalAPIRunner,
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max_num_workers=2,
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concurrent_users=2,
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task=dict(type=OpenICLInferTask)),
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)
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work_dir = 'outputs/api_pangu/'
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