[Bug] DLCRunner无法获取运行结果

Prerequisite

• I have searched Issues and Discussions but cannot get the expected help.
• The bug has not been fixed in the latest version.

Type

I'm evaluating with the officially supported tasks/models/datasets.

Environment

{'CUDA available': True,
'CUDA_HOME': '/usr/local/cuda',
'GCC': 'gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0',
'GPU 0,1,2': 'NVIDIA A100-SXM4-80GB',
'MMEngine': '0.10.3',
'MUSA available': False,
'NVCC': 'Cuda compilation tools, release 12.1, V12.1.66',
'OpenCV': '4.9.0',
'PyTorch': '2.2.2',
'PyTorch compiling details': 'PyTorch built with:\n'
' - GCC 9.3\n'
' - C++ Version: 201703\n'
' - Intel(R) oneAPI Math Kernel Library Version '
'2023.1-Product Build 20230303 for Intel(R) 64 '
'architecture applications\n'
' - Intel(R) MKL-DNN v3.3.2 (Git Hash '
'2dc95a2ad0841e29db8b22fbccaf3e5da7992b01)\n'
' - OpenMP 201511 (a.k.a. OpenMP 4.5)\n'
' - LAPACK is enabled (usually provided by '
'MKL)\n'
' - NNPACK is enabled\n'
' - CPU capability usage: AVX512\n'
' - CUDA Runtime 12.1\n'
' - NVCC architecture flags: '
'-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_90,code=sm_90\n'
' - CuDNN 8.9.2\n'
' - Magma 2.6.1\n'
' - Build settings: BLAS_INFO=mkl, '
'BUILD_TYPE=Release, CUDA_VERSION=12.1, '
'CUDNN_VERSION=8.9.2, '
'CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, '
'CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 '
'-fabi-version=11 -fvisibility-inlines-hidden '
'-DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO '
'-DLIBKINETO_NOROCTRACER -DUSE_FBGEMM '
'-DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK '
'-DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE '
'-O2 -fPIC -Wall -Wextra -Werror=return-type '
'-Werror=non-virtual-dtor -Werror=bool-operation '
'-Wnarrowing -Wno-missing-field-initializers '
'-Wno-type-limits -Wno-array-bounds '
'-Wno-unknown-pragmas -Wno-unused-parameter '
'-Wno-unused-function -Wno-unused-result '
'-Wno-strict-overflow -Wno-strict-aliasing '
'-Wno-stringop-overflow -Wsuggest-override '
'-Wno-psabi -Wno-error=pedantic '
'-Wno-error=old-style-cast -Wno-missing-braces '
'-fdiagnostics-color=always -faligned-new '
'-Wno-unused-but-set-variable '
'-Wno-maybe-uninitialized -fno-math-errno '
'-fno-trapping-math -Werror=format '
'-Wno-stringop-overflow, LAPACK_INFO=mkl, '
'PERF_WITH_AVX=1, PERF_WITH_AVX2=1, '
'PERF_WITH_AVX512=1, TORCH_VERSION=2.2.2, '
'USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, '
'USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, '
'USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, '
'USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, '
'USE_ROCM_KERNEL_ASSERT=OFF, \n',
'Python': '3.10.14 (main, Mar 21 2024, 16:24:04) [GCC 11.2.0]',
'TorchVision': '0.17.2',
'numpy_random_seed': 2147483648,
'opencompass': '0.2.3+bd7c11b',
'sys.platform': 'linux'}

Reproduces the problem - code/configuration sample

自定义配置文件如下：

from opencompass.runners import DLCRunner, LocalRunner
from opencompass.tasks import OpenICLEvalTask, OpenICLInferTask
from opencompass.models import HuggingFaceCausalLM
from mmengine.config import read_base
from opencompass.partitioners import SizePartitioner, NaivePartitioner

with read_base():
from .datasets.mmlu.mmlu_clean_ppl import mmlu_datasets

datasets = [*mmlu_datasets]

models = [
dict(
type=HuggingFaceCausalLM,
abbr='7b-model',
path="model_path",
tokenizer_path='model_path',
tokenizer_kwargs=dict(padding_side='left',
truncation_side='left',
trust_remote_code=True,
use_fast=False,),
max_out_len=100,
max_seq_len=2048,
batch_size=8,
model_kwargs=dict(device_map='auto', trust_remote_code=True),
run_cfg=dict(num_gpus=1, num_procs=1),
)
]

infer = dict(
partitioner=dict(type=SizePartitioner, max_task_size=5000),
runner=dict(
type=DLCRunner,
task=dict(type=OpenICLInferTask),
max_num_workers=4,
aliyun_cfg=dict(
dlc_config_path="/root/.dlc/config",
python_env_path="/root/miniconda3/envs/opencompass",
workspace_id='ws***',
worker_image='image-url',
),
retry=2,
),
)

eval = dict(
partitioner=dict(type=NaivePartitioner),
runner=dict(
type=LocalRunner,
max_num_workers=4,
task=dict(type=OpenICLEvalTask)),
)

Reproduces the problem - command or script

python run.py configs/eval_test.py

Reproduces the problem - error message

04/18 16:57:52 - OpenCompass - WARNING - SlurmRunner is not used, so the partition argument is ignored.
04/18 16:57:52 - OpenCompass - INFO - Partitioned into 25 tasks.
04/18 16:57:52 - OpenCompass - WARNING - To ensure the integrity of the log results, the log displayed by DLCRunner has a 10-second delay.
[ ] 0/25, elapsed: 0s, ETA:multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/miniconda3/envs/opencompass/lib/python3.10/multiprocessing/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/opencompass/opencompass/runners/dlc.py", line 264, in _launch
return_code = _run_within_retry()
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/opencompass/opencompass/runners/dlc.py", line 229, in _run_within_retry
raise RuntimeError(
RuntimeError: Failed to get job info for dlc56wtmugbosjtd
"""

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/opencompass/run.py", line 4, in
main()
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/opencompass/opencompass/cli/main.py", line 309, in main
runner(tasks)
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/opencompass/opencompass/runners/base.py", line 38, in call
status = self.launch(tasks)
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/opencompass/opencompass/runners/dlc.py", line 70, in launch
status = track_parallel_progress(self._launch,
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/miniconda3/envs/opencompass/lib/python3.10/site-packages/mmengine/utils/progressbar.py", line 200, in track_parallel_progress
for result in gen:
File "/cpfs01/user/zhangshusen/glusterfs2/zhangshusen/miniconda3/envs/opencompass/lib/python3.10/multiprocessing/pool.py", line 873, in next
raise value
RuntimeError: Failed to get job info for dlc56wtmugbosjtd

Other information

dlc上看到提交的infer任务运行成功了，但是运行脚本侧获取不到dlc运行结果，导致后续eval任务失败