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from mmengine.config import read_base
from opencompass.partitioners import SizePartitioner
from opencompass.runners import LocalRunner
from opencompass.tasks import OpenICLInferTask
from opencompass.models import OpenAI
from opencompass.models.lagent import CodeAgent
from opencompass.lagent.actions.python_interpreter import PythonInterpreter
PYTHON_INTERPRETER_DESCRIPTION = """\
It can run a Python code. The code must be a valid code that contains only python method.
"""
actions = [
dict(
type=PythonInterpreter,
description=PYTHON_INTERPRETER_DESCRIPTION,
answer_expr=None,
)
]
with read_base():
from .datasets.ds1000.ds1000_gen_5c4bec import ds1000_datasets as datasets
models = [
dict(
abbr='gpt-3.5-react',
type=CodeAgent,
llm=dict(
type=OpenAI,
path='gpt-3.5-turbo',
key='ENV',
query_per_second=1,
max_seq_len=4096,
),
actions=actions,
batch_size=8),
]
infer = dict(
partitioner=dict(type=SizePartitioner, max_task_size=40000),
runner=dict(
type=LocalRunner, max_num_workers=16,
task=dict(type=OpenICLInferTask)),
) |