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from mmengine.config import read_base
from opencompass.models.openai_api import OpenAI
from opencompass.partitioners import SizePartitioner
from opencompass.runners import LocalRunner
from opencompass.tasks import OpenICLInferTask
with read_base():
from .datasets.gsm8k.gsm8k_gen_d6de81 import gsm8k_datasets
from .datasets.math.math_gen_1ed9c2 import math_datasets
from .datasets.MathBench.mathbench_gen import mathbench_datasets
from .summarizers.math_baseline import summarizer
datasets = []
datasets += gsm8k_datasets
datasets += math_datasets
datasets += mathbench_datasets
models = [
dict(
abbr='gpt-3.5-react',
type=OpenAI,
path='gpt-3.5-turbo',
key='ENV',
query_per_second=1,
max_seq_len=4096,
batch_size=1,
),
]
infer = dict(
partitioner=dict(type=SizePartitioner, max_task_size=1000),
runner=dict(
type=LocalRunner,
max_num_workers=16,
task=dict(type=OpenICLInferTask)),
) |