eval_regression_api.py

from mmengine.config import read_base

from opencompass.models.openai_api import OpenAISDK

with read_base():
    # choose a list of datasets
    from opencompass.configs.datasets.gsm8k.gsm8k_gen import \
        gsm8k_datasets  # noqa: F401, E501
    from opencompass.configs.datasets.race.race_gen import \
        race_datasets  # noqa: F401, E501

datasets = sum([v for k, v in locals().items() if k.endswith('_datasets')], [])

api_meta_template = dict(
    round=[
        dict(role='HUMAN', api_role='HUMAN'),
        dict(role='BOT', api_role='BOT', generate=True),
    ],
    reserved_roles=[dict(role='SYSTEM', api_role='SYSTEM')],
)

models = [
    dict(
        abbr='lmdeploy-api-test',
        type=OpenAISDK,
        key='EMPTY',
        openai_api_base='http://0.0.0.0:23333/v1',
        path='internlm2',
        tokenizer_path='internlm/internlm2_5-7b-chat',
        rpm_verbose=True,
        meta_template=api_meta_template,
        query_per_second=128,
        max_out_len=1024,
        max_seq_len=4096,
        temperature=0.01,
        batch_size=128,
        retry=20,
    )
]

for d in datasets:
    d['reader_cfg']['test_range'] = '[0:16]'