InternVL2-2B-Pretrain/eval_llm_benchmark.log

/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32
model path is /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain
12/05 03:53:05 - OpenCompass - WARNING - No previous results to reuse!
12/05 03:53:05 - OpenCompass - INFO - Reusing experiements from 20241205_035305
12/05 03:53:05 - OpenCompass - INFO - Current exp folder: /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain/20241205_035305
12/05 03:53:09 - OpenCompass - INFO - Partitioned into 256 tasks.
[                                                  ] 0/256, elapsed: 0s, ETA:use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23414 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122944_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25962 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123141_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18689 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122937_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22821 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122949_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122953_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17969 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122898_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20454 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122897_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27767 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122931_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12817 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122896_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122952_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27484 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122935_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16885 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122925_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16672 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122922_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31025 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122943_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13469 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122947_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20997 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122890_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25281 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122965_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13579 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123050_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27089 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122957_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122941_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25344 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122893_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24034 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122929_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13737 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122939_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29143 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123099_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29710 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122948_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12203 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122926_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30504 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123129_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29083 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122942_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122969_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25064 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123065_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27075 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123067_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28431 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123073_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123041_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16713 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123135_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28048 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122962_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18280 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122970_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14922 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122963_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12954 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122946_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28441 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122940_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12070 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122933_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30630 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123238_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12961 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123112_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18997 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122930_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16322 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123211_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26218 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122892_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31071 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122883_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25237 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122895_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22279 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123241_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12645 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123237_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17194 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123232_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18253 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123117_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20953 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123078_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29974 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123106_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13208 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123224_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21964 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123115_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24509 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123098_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23190 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123104_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17152 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123234_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30870 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123091_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12917 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123097_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30785 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123096_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13564 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123081_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28417 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123045_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31146 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123239_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17549 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123069_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27820 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123088_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31021 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123076_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19453 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123240_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14474 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123220_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31218 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122971_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20940 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123043_params.py
command torchrun --master_port=30127 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123048_params.py
command torchrun --master_port=17840 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123103_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18647 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123235_params.py
command torchrun --master_port=15522 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123229_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20443 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123230_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18174 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123233_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23976 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123212_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26166 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123047_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29734 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122973_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30736 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123042_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23952 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122967_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20450 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123080_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15819 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122959_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19646 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122955_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27926 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122966_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14803 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123061_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20056 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122972_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16126 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123064_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21835 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123223_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30561 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123231_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19140 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123113_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30416 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123236_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30881 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123101_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26994 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123105_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15749 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123156_params.py
use_backend use_backendFalse  False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22093 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123226_params.py
command torchrun --master_port=30764 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123071_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13012 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123094_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24066 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123202_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25629 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122936_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18269 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122951_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23897 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122923_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22320 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123171_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21005 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123131_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29438 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123075_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13170 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122950_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14095 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123216_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27800 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123100_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20928 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122888_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22503 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123228_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25001 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123068_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15669 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123107_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12545 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123077_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21915 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123062_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22043 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123221_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14262 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123210_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22433 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122894_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14753 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123084_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commanduse_backend torchrun --master_port=27857 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123063_params.py
 False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17982 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123090_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14658 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123120_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28472 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123085_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19035 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123054_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27024 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123111_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23369 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122882_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30439 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123082_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31275 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123165_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24252 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123074_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28323 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123102_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22078 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123089_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31428 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123170_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16905 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122961_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15050 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123092_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15613 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123093_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25651 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123114_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19216 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123203_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17223 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123087_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17682 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122958_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29868 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123146_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22499 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123072_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20990 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123108_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24451 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123083_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20675 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122974_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23197 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122885_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27984 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123046_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17500 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123222_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28602 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123053_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16516 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123095_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23570 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123218_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25298 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123201_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13807 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123163_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18665 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123227_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28306 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122960_params.py
use_backend False use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29982 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122924_params.py
command torchrun --master_port=15730 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122954_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13729 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122975_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command use_backend False use_backend False use_backend False use_backend False use_backenduse_backend  use_backenduse_backendFalseFalse    FalseFalse{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
  commandcommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
  
commandtorchrun --master_port=30791 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123137_params.py
torchrun --master_port=14053 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123116_params.py command{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backendtorchrun --master_port=25436 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123145_params.py 
 False
torchrun --master_port=23509 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123158_params.pycommand 
 {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=12497 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122891_params.pycommand
 torchrun --master_port=21145 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123058_params.py
use_backenduse_backend  FalseFalse  {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

command commandtorchrun --master_port=15334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123195_params.py 

torchrun --master_port=18403 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122889_params.py
use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
 Falsecommand  {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=26738 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122927_params.py

commanduse_backenduse_backend   torchrun --master_port=24044 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122928_params.pyFalseFalse 
 {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

use_backenduse_backend command Falsecommand False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=22101 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123166_params.py 
torchrun --master_port=30619 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123143_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

use_backenduse_backenduse_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} 
command False    False False FalseFalse  torchrun --master_port=19085 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123209_params.py
 command {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
commandcommand
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} 
torchrun --master_port=28714 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123066_params.py  command

torchrun --master_port=31525 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123215_params.py
 torchrun --master_port=28750 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123181_params.pytorchrun --master_port=13221 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123051_params.py

commandcommand  torchrun --master_port=13016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122884_params.pytorchrun --master_port=16789 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123144_params.py
commanduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend
use_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend         FalseFalse False    Falseuse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backend torchrun --master_port=12311 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123055_params.pyFalseuse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend  False torchrun --master_port=29743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123138_params.py
FalseFalseFalseFalseFalse  False FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}  
 
     False use_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

 False  False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendFalseuse_backenduse_backenduse_backenduse_backenduse_backend
 use_backenduse_backenduse_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}       False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}FalseFalseFalseFalse  FalseFalse  {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}   FalsecommandFalsecommand      FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
  
False 
  
  False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}


{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}  False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=20334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123192_params.pyFalseFalse FalseFalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} 

  

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}  
   FalseFalsecommandcommand    commandcommandcommand      FalseFalse use_backendcommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} 


 use_backendcommanduse_backend  False 


  {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} Falseuse_backendtorchrun --master_port=17503 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123173_params.pytorchrun --master_port=14322 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123167_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} False commanduse_backendcommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=28134 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123204_params.pyuse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}Falseuse_backendcommandcommand commandcommand torchrun --master_port=18790 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123206_params.py torchrun --master_port=14877 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123124_params.pyFalsetorchrun --master_port=16393 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123152_params.py
 



 {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend 
 Falseuse_backend  torchrun --master_port=24630 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123197_params.pyuse_backenduse_backenduse_backend 
 command Falsecommandcommand
 
torchrun --master_port=24582 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123168_params.py

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}commandtorchrun --master_port=16711 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123208_params.py
   
Falsecommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}  command  
FalseFalseFalse   
torchrun --master_port=29413 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122945_params.py {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=16682 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123186_params.py
torchrun --master_port=30293 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123130_params.py  torchrun --master_port=28911 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123153_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=21081 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123182_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

 False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
 
command  
False   FalseFalseFalse    

 False False   Falsecommandcommandcommandcommandcommandcommandcommand commandcommandcommandcommandcommandcommandcommandcommandcommandtorchrun --master_port=22553 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123056_params.py    torchrun --master_port=28901 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123044_params.py torchrun --master_port=30240 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123160_params.py
        commandtorchrun --master_port=30868 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123187_params.pytorchrun --master_port=31335 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123207_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=15716 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123179_params.pytorchrun --master_port=16944 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123125_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} 
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend
 torchrun --master_port=18187 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123189_params.pytorchrun --master_port=23925 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122920_params.pytorchrun --master_port=14800 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122968_params.py
torchrun --master_port=14634 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123142_params.py

torchrun --master_port=30921 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123214_params.pytorchrun --master_port=25568 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123133_params.pytorchrun --master_port=29616 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123154_params.pyuse_backendtorchrun --master_port=29662 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123151_params.py

torchrun --master_port=19149 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123217_params.pytorchrun --master_port=17604 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122934_params.pytorchrun --master_port=25167 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123139_params.py
 


torchrun --master_port=14172 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123162_params.pytorchrun --master_port=27967 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123147_params.py





use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backenduse_backend commandcommand torchrun --master_port=23993 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123136_params.py








 False

 
torchrun --master_port=24901 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122956_params.py  command Falsecommandcommand  Falsetorchrun --master_port=29016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123030_params.py  
commandtorchrun --master_port=21016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123219_params.py
  False
 FalseFalsetorchrun --master_port=24195 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123180_params.pyFalse   torchrun --master_port=23417 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123079_params.pyFalse command
torchrun --master_port=26824 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123049_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}  
torchrun --master_port=28201 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123155_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}


{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=31291 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123172_params.py


command 

commandtorchrun --master_port=16210 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123205_params.py commandcommand  
commandcommandtorchrun --master_port=17685 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123188_params.pycommandtorchrun --master_port=16084 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123126_params.py  False
  
 command command 
  False command command use_backend command
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=24646 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123132_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=15376 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123213_params.pyuse_backendtorchrun --master_port=29249 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123149_params.pytorchrun --master_port=23824 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123198_params.py


 

 

{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}Falsetorchrun --master_port=17278 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123052_params.pyFalsecommand

 
command{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
  commandcommand  
 torchrun --master_port=22430 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122887_params.pycommandtorchrun --master_port=26016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123070_params.pytorchrun --master_port=28340 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123185_params.py

torchrun --master_port=25342 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123164_params.py
 

commandtorchrun --master_port=26834 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123200_params.py torchrun --master_port=24389 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123060_params.py

command{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
 torchrun --master_port=14551 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123057_params.py
command torchrun --master_port=14417 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123159_params.py
torchrun --master_port=12723 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123150_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=30575 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123134_params.pyuse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=28538 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123191_params.pytorchrun --master_port=20942 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123140_params.pytorchrun --master_port=31611 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123196_params.pyuse_backendtorchrun --master_port=21084 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123184_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}











torchrun --master_port=22342 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123148_params.py
  use_backendFalseFalse
commandcommandcommandcommandcommandcommand       torchrun --master_port=29015 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123193_params.pytorchrun --master_port=16292 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123190_params.pytorchrun --master_port=16932 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123183_params.pytorchrun --master_port=19553 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123169_params.py
torchrun --master_port=23743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122964_params.py



 torchrun --master_port=31346 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123225_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
 False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16430 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123161_params.py
command torchrun --master_port=27003 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123127_params.py
command torchrun --master_port=15313 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122938_params.py
command torchrun --master_port=27138 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123199_params.py
 False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24863 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123157_params.py

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[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/256, 0.4 task/s, elapsed: 612s, ETA:     5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/256, 0.4 task/s, elapsed: 627s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 256/256, 0.4 task/s, elapsed: 712s, ETA:     0s
12/05 04:05:10 - OpenCompass - INFO - Partitioned into 287 tasks.
[                                                  ] 0/287, elapsed: 0s, ETA:
[                                ] 1/287, 0.1 task/s, elapsed: 17s, ETA:  4894s
[                                ] 2/287, 0.1 task/s, elapsed: 19s, ETA:  2730s
[                                ] 3/287, 0.1 task/s, elapsed: 21s, ETA:  2019s
[                                ] 4/287, 0.2 task/s, elapsed: 21s, ETA:  1515s
[                                ] 5/287, 0.2 task/s, elapsed: 21s, ETA:  1210s
[                                ] 6/287, 0.3 task/s, elapsed: 23s, ETA:  1086s
[                                ] 7/287, 0.3 task/s, elapsed: 23s, ETA:   927s
[                                ] 8/287, 0.3 task/s, elapsed: 23s, ETA:   809s
[>                               ] 9/287, 0.4 task/s, elapsed: 23s, ETA:   719s
[>                              ] 10/287, 0.4 task/s, elapsed: 23s, ETA:   645s
[>                              ] 11/287, 0.5 task/s, elapsed: 23s, ETA:   585s
[>                              ] 12/287, 0.5 task/s, elapsed: 23s, ETA:   534s
[>                              ] 13/287, 0.6 task/s, elapsed: 24s, ETA:   496s
[>                              ] 14/287, 0.6 task/s, elapsed: 24s, ETA:   462s
[>                              ] 15/287, 0.6 task/s, elapsed: 24s, ETA:   431s
[>                              ] 16/287, 0.7 task/s, elapsed: 24s, ETA:   405s
[>                              ] 17/287, 0.7 task/s, elapsed: 24s, ETA:   384s
[>                              ] 18/287, 0.7 task/s, elapsed: 25s, ETA:   374s
[>>                             ] 19/287, 0.8 task/s, elapsed: 25s, ETA:   353s
[>>                             ] 20/287, 0.8 task/s, elapsed: 25s, ETA:   336s
[>>                             ] 21/287, 0.8 task/s, elapsed: 25s, ETA:   319s
[>>                             ] 22/287, 0.9 task/s, elapsed: 25s, ETA:   303s
[>>                             ] 23/287, 0.9 task/s, elapsed: 25s, ETA:   290s
[>>                             ] 24/287, 0.9 task/s, elapsed: 25s, ETA:   277s
[>>                             ] 25/287, 0.8 task/s, elapsed: 31s, ETA:   323s
[>>                             ] 26/287, 0.8 task/s, elapsed: 31s, ETA:   310s
[>>                             ] 27/287, 0.9 task/s, elapsed: 31s, ETA:   300s
[>>>                            ] 28/287, 0.9 task/s, elapsed: 31s, ETA:   291s
[>>>                            ] 29/287, 0.9 task/s, elapsed: 32s, ETA:   280s
[>>>                            ] 30/287, 0.9 task/s, elapsed: 32s, ETA:   271s
[>>>                            ] 31/287, 1.0 task/s, elapsed: 32s, ETA:   268s
[>>>                            ] 32/287, 1.0 task/s, elapsed: 33s, ETA:   262s
[>>>                            ] 33/287, 1.0 task/s, elapsed: 33s, ETA:   256s
[>>>                            ] 34/287, 1.0 task/s, elapsed: 34s, ETA:   250s
[>>>                            ] 35/287, 1.0 task/s, elapsed: 34s, ETA:   242s
[>>>                            ] 36/287, 1.1 task/s, elapsed: 34s, ETA:   234s
[>>>                            ] 37/287, 1.1 task/s, elapsed: 34s, ETA:   228s
[>>>>                           ] 38/287, 1.1 task/s, elapsed: 34s, ETA:   221s
[>>>>                           ] 39/287, 1.2 task/s, elapsed: 34s, ETA:   215s
[>>>>                           ] 40/287, 1.2 task/s, elapsed: 34s, ETA:   209s
[>>>>                           ] 41/287, 1.2 task/s, elapsed: 34s, ETA:   203s
[>>>>                           ] 42/287, 1.2 task/s, elapsed: 34s, ETA:   199s
[>>>>                           ] 43/287, 1.3 task/s, elapsed: 34s, ETA:   193s
[>>>>                           ] 44/287, 1.3 task/s, elapsed: 34s, ETA:   188s
[>>>>                           ] 45/287, 1.3 task/s, elapsed: 34s, ETA:   184s
[>>>>                           ] 46/287, 1.3 task/s, elapsed: 34s, ETA:   180s
[>>>>>                          ] 47/287, 1.4 task/s, elapsed: 35s, ETA:   177s
[>>>>>                          ] 48/287, 1.4 task/s, elapsed: 35s, ETA:   174s
[>>>>>                          ] 49/287, 1.4 task/s, elapsed: 36s, ETA:   173s
[>>>>>                          ] 50/287, 1.4 task/s, elapsed: 36s, ETA:   173s
[>>>>>                          ] 51/287, 1.4 task/s, elapsed: 37s, ETA:   170s
[>>>>>                          ] 52/287, 1.4 task/s, elapsed: 37s, ETA:   166s
[>>>>>                          ] 53/287, 1.4 task/s, elapsed: 37s, ETA:   163s
[>>>>>                          ] 54/287, 1.5 task/s, elapsed: 37s, ETA:   159s
[>>>>>                          ] 55/287, 1.5 task/s, elapsed: 37s, ETA:   156s
[>>>>>>                         ] 56/287, 1.5 task/s, elapsed: 37s, ETA:   152s
[>>>>>>                         ] 57/287, 1.5 task/s, elapsed: 37s, ETA:   151s
[>>>>>>                         ] 58/287, 1.6 task/s, elapsed: 37s, ETA:   147s
[>>>>>>                         ] 59/287, 1.6 task/s, elapsed: 37s, ETA:   145s
[>>>>>>                         ] 60/287, 1.6 task/s, elapsed: 38s, ETA:   142s
[>>>>>>                         ] 61/287, 1.6 task/s, elapsed: 38s, ETA:   139s
[>>>>>>                         ] 62/287, 1.7 task/s, elapsed: 38s, ETA:   136s
[>>>>>>                         ] 63/287, 1.7 task/s, elapsed: 38s, ETA:   134s
[>>>>>>                         ] 64/287, 1.7 task/s, elapsed: 38s, ETA:   131s
[>>>>>>>                        ] 65/287, 1.7 task/s, elapsed: 38s, ETA:   129s
[>>>>>>>                        ] 66/287, 1.8 task/s, elapsed: 38s, ETA:   126s
[>>>>>>>                        ] 67/287, 1.8 task/s, elapsed: 38s, ETA:   125s
[>>>>>>>                        ] 68/287, 1.8 task/s, elapsed: 38s, ETA:   124s
[>>>>>>>                        ] 69/287, 1.8 task/s, elapsed: 39s, ETA:   122s
[>>>>>>>                        ] 70/287, 1.8 task/s, elapsed: 39s, ETA:   120s
[>>>>>>>                        ] 71/287, 1.8 task/s, elapsed: 40s, ETA:   123s
[>>>>>>>                        ] 72/287, 1.8 task/s, elapsed: 40s, ETA:   121s
[>>>>>>>                        ] 73/287, 1.8 task/s, elapsed: 40s, ETA:   119s
[>>>>>>>                        ] 74/287, 1.8 task/s, elapsed: 40s, ETA:   116s
[>>>>>>>>                       ] 75/287, 1.8 task/s, elapsed: 41s, ETA:   115s
[>>>>>>>>                       ] 76/287, 1.9 task/s, elapsed: 41s, ETA:   113s
[>>>>>>>>                       ] 77/287, 1.9 task/s, elapsed: 41s, ETA:   111s
[>>>>>>>>                       ] 78/287, 1.9 task/s, elapsed: 41s, ETA:   109s
[>>>>>>>>                       ] 79/287, 1.9 task/s, elapsed: 41s, ETA:   107s
[>>>>>>>>                       ] 80/287, 2.0 task/s, elapsed: 41s, ETA:   105s
[>>>>>>>>                       ] 81/287, 2.0 task/s, elapsed: 41s, ETA:   103s
[>>>>>>>>                       ] 82/287, 2.0 task/s, elapsed: 41s, ETA:   102s
[>>>>>>>>                       ] 83/287, 2.0 task/s, elapsed: 41s, ETA:   100s
[>>>>>>>>>                      ] 84/287, 2.1 task/s, elapsed: 41s, ETA:    98s
[>>>>>>>>>                      ] 85/287, 2.1 task/s, elapsed: 41s, ETA:    97s
[>>>>>>>>>                      ] 86/287, 2.1 task/s, elapsed: 41s, ETA:    95s
[>>>>>>>>>                      ] 87/287, 2.1 task/s, elapsed: 41s, ETA:    94s
[>>>>>>>>>                      ] 88/287, 2.2 task/s, elapsed: 41s, ETA:    92s
[>>>>>>>>>                      ] 89/287, 2.2 task/s, elapsed: 41s, ETA:    91s
[>>>>>>>>>                      ] 90/287, 2.2 task/s, elapsed: 41s, ETA:    89s
[>>>>>>>>>                      ] 91/287, 2.2 task/s, elapsed: 41s, ETA:    88s
[>>>>>>>>>                      ] 92/287, 2.3 task/s, elapsed: 41s, ETA:    86s
[>>>>>>>>>>                     ] 93/287, 2.3 task/s, elapsed: 41s, ETA:    85s
[>>>>>>>>>>                     ] 94/287, 2.3 task/s, elapsed: 41s, ETA:    84s
[>>>>>>>>>>                     ] 95/287, 2.3 task/s, elapsed: 41s, ETA:    82s
[>>>>>>>>>>                     ] 96/287, 2.4 task/s, elapsed: 41s, ETA:    81s
[>>>>>>>>>>                     ] 97/287, 2.4 task/s, elapsed: 41s, ETA:    80s
[>>>>>>>>>>                     ] 98/287, 2.4 task/s, elapsed: 41s, ETA:    79s
[>>>>>>>>>>                     ] 99/287, 2.4 task/s, elapsed: 41s, ETA:    78s
[>>>>>>>>>>                    ] 100/287, 2.4 task/s, elapsed: 41s, ETA:    77s
[>>>>>>>>>>                    ] 101/287, 2.5 task/s, elapsed: 41s, ETA:    75s
[>>>>>>>>>>                    ] 102/287, 2.5 task/s, elapsed: 41s, ETA:    74s
[>>>>>>>>>>                    ] 103/287, 2.5 task/s, elapsed: 41s, ETA:    73s
[>>>>>>>>>>                    ] 104/287, 2.5 task/s, elapsed: 41s, ETA:    72s
[>>>>>>>>>>                    ] 105/287, 2.6 task/s, elapsed: 41s, ETA:    71s
[>>>>>>>>>>>                   ] 106/287, 2.6 task/s, elapsed: 41s, ETA:    70s
[>>>>>>>>>>>                   ] 107/287, 2.6 task/s, elapsed: 41s, ETA:    70s
[>>>>>>>>>>>                   ] 108/287, 2.6 task/s, elapsed: 41s, ETA:    69s
[>>>>>>>>>>>                   ] 109/287, 2.6 task/s, elapsed: 41s, ETA:    68s
[>>>>>>>>>>>                   ] 110/287, 2.6 task/s, elapsed: 42s, ETA:    67s
[>>>>>>>>>>>                   ] 111/287, 2.7 task/s, elapsed: 42s, ETA:    66s
[>>>>>>>>>>>                   ] 112/287, 2.7 task/s, elapsed: 42s, ETA:    65s
[>>>>>>>>>>>                   ] 113/287, 2.7 task/s, elapsed: 42s, ETA:    65s
[>>>>>>>>>>>                   ] 114/287, 2.7 task/s, elapsed: 42s, ETA:    64s
[>>>>>>>>>>>>                  ] 115/287, 2.7 task/s, elapsed: 43s, ETA:    64s
[>>>>>>>>>>>>                  ] 116/287, 2.7 task/s, elapsed: 43s, ETA:    63s
[>>>>>>>>>>>>                  ] 117/287, 2.7 task/s, elapsed: 43s, ETA:    62s
[>>>>>>>>>>>>                  ] 118/287, 2.8 task/s, elapsed: 43s, ETA:    61s
[>>>>>>>>>>>>                  ] 119/287, 2.7 task/s, elapsed: 43s, ETA:    61s
[>>>>>>>>>>>>                  ] 120/287, 2.8 task/s, elapsed: 43s, ETA:    60s
[>>>>>>>>>>>>                  ] 121/287, 2.7 task/s, elapsed: 45s, ETA:    62s
[>>>>>>>>>>>>                  ] 122/287, 2.7 task/s, elapsed: 45s, ETA:    61s
[>>>>>>>>>>>>                  ] 123/287, 2.7 task/s, elapsed: 46s, ETA:    61s
[>>>>>>>>>>>>                  ] 124/287, 2.7 task/s, elapsed: 46s, ETA:    60s
[>>>>>>>>>>>>>                 ] 125/287, 2.7 task/s, elapsed: 46s, ETA:    59s
[>>>>>>>>>>>>>                 ] 126/287, 2.8 task/s, elapsed: 46s, ETA:    59s
[>>>>>>>>>>>>>                 ] 127/287, 2.8 task/s, elapsed: 46s, ETA:    58s
[>>>>>>>>>>>>>                 ] 128/287, 2.8 task/s, elapsed: 46s, ETA:    57s
[>>>>>>>>>>>>>                 ] 129/287, 2.8 task/s, elapsed: 46s, ETA:    56s
[>>>>>>>>>>>>>                 ] 130/287, 2.8 task/s, elapsed: 46s, ETA:    55s
[>>>>>>>>>>>>>                 ] 131/287, 2.8 task/s, elapsed: 46s, ETA:    55s
[>>>>>>>>>>>>>                 ] 132/287, 2.9 task/s, elapsed: 46s, ETA:    54s
[>>>>>>>>>>>>>                 ] 133/287, 2.9 task/s, elapsed: 46s, ETA:    53s
[>>>>>>>>>>>>>>                ] 134/287, 2.9 task/s, elapsed: 46s, ETA:    53s
[>>>>>>>>>>>>>>                ] 135/287, 2.9 task/s, elapsed: 46s, ETA:    52s
[>>>>>>>>>>>>>>                ] 136/287, 2.9 task/s, elapsed: 46s, ETA:    51s
[>>>>>>>>>>>>>>                ] 137/287, 3.0 task/s, elapsed: 46s, ETA:    51s
[>>>>>>>>>>>>>>                ] 138/287, 3.0 task/s, elapsed: 46s, ETA:    50s
[>>>>>>>>>>>>>>                ] 139/287, 3.0 task/s, elapsed: 47s, ETA:    50s
[>>>>>>>>>>>>>>                ] 140/287, 3.0 task/s, elapsed: 47s, ETA:    49s
[>>>>>>>>>>>>>>                ] 141/287, 3.0 task/s, elapsed: 47s, ETA:    48s
[>>>>>>>>>>>>>>                ] 142/287, 3.0 task/s, elapsed: 47s, ETA:    48s
[>>>>>>>>>>>>>>                ] 143/287, 3.1 task/s, elapsed: 47s, ETA:    47s
[>>>>>>>>>>>>>>>               ] 144/287, 3.0 task/s, elapsed: 48s, ETA:    48s
[>>>>>>>>>>>>>>>               ] 145/287, 3.0 task/s, elapsed: 48s, ETA:    47s
[>>>>>>>>>>>>>>>               ] 146/287, 3.0 task/s, elapsed: 48s, ETA:    46s
[>>>>>>>>>>>>>>>               ] 147/287, 3.1 task/s, elapsed: 48s, ETA:    46s
[>>>>>>>>>>>>>>>               ] 148/287, 3.1 task/s, elapsed: 48s, ETA:    45s
[>>>>>>>>>>>>>>>               ] 149/287, 3.1 task/s, elapsed: 48s, ETA:    45s
[>>>>>>>>>>>>>>>               ] 150/287, 3.1 task/s, elapsed: 48s, ETA:    44s
[>>>>>>>>>>>>>>>               ] 151/287, 3.1 task/s, elapsed: 48s, ETA:    43s
[>>>>>>>>>>>>>>>               ] 152/287, 3.2 task/s, elapsed: 48s, ETA:    43s
[>>>>>>>>>>>>>>>               ] 153/287, 3.2 task/s, elapsed: 48s, ETA:    42s
[>>>>>>>>>>>>>>>>              ] 154/287, 3.2 task/s, elapsed: 48s, ETA:    42s
[>>>>>>>>>>>>>>>>              ] 155/287, 3.2 task/s, elapsed: 48s, ETA:    41s
[>>>>>>>>>>>>>>>>              ] 156/287, 3.2 task/s, elapsed: 48s, ETA:    40s
[>>>>>>>>>>>>>>>>              ] 157/287, 3.3 task/s, elapsed: 48s, ETA:    40s
[>>>>>>>>>>>>>>>>              ] 158/287, 3.3 task/s, elapsed: 48s, ETA:    39s
[>>>>>>>>>>>>>>>>              ] 159/287, 3.3 task/s, elapsed: 48s, ETA:    39s
[>>>>>>>>>>>>>>>>              ] 160/287, 3.3 task/s, elapsed: 48s, ETA:    38s
[>>>>>>>>>>>>>>>>              ] 161/287, 3.3 task/s, elapsed: 48s, ETA:    38s
[>>>>>>>>>>>>>>>>              ] 162/287, 3.4 task/s, elapsed: 48s, ETA:    37s
[>>>>>>>>>>>>>>>>>             ] 163/287, 3.4 task/s, elapsed: 48s, ETA:    37s
[>>>>>>>>>>>>>>>>>             ] 164/287, 3.4 task/s, elapsed: 48s, ETA:    36s
[>>>>>>>>>>>>>>>>>             ] 165/287, 3.4 task/s, elapsed: 48s, ETA:    36s
[>>>>>>>>>>>>>>>>>             ] 166/287, 3.4 task/s, elapsed: 48s, ETA:    35s
[>>>>>>>>>>>>>>>>>             ] 167/287, 3.5 task/s, elapsed: 48s, ETA:    35s
[>>>>>>>>>>>>>>>>>             ] 168/287, 3.5 task/s, elapsed: 48s, ETA:    34s
[>>>>>>>>>>>>>>>>>             ] 169/287, 3.5 task/s, elapsed: 48s, ETA:    34s
[>>>>>>>>>>>>>>>>>             ] 170/287, 3.5 task/s, elapsed: 48s, ETA:    33s
[>>>>>>>>>>>>>>>>>             ] 171/287, 3.5 task/s, elapsed: 48s, ETA:    33s
[>>>>>>>>>>>>>>>>>             ] 172/287, 3.6 task/s, elapsed: 48s, ETA:    32s
[>>>>>>>>>>>>>>>>>>            ] 173/287, 3.6 task/s, elapsed: 48s, ETA:    32s
[>>>>>>>>>>>>>>>>>>            ] 174/287, 3.6 task/s, elapsed: 48s, ETA:    31s
[>>>>>>>>>>>>>>>>>>            ] 175/287, 3.6 task/s, elapsed: 48s, ETA:    31s
[>>>>>>>>>>>>>>>>>>            ] 176/287, 3.6 task/s, elapsed: 48s, ETA:    30s
[>>>>>>>>>>>>>>>>>>            ] 177/287, 3.7 task/s, elapsed: 48s, ETA:    30s
[>>>>>>>>>>>>>>>>>>            ] 178/287, 3.7 task/s, elapsed: 48s, ETA:    30s
[>>>>>>>>>>>>>>>>>>            ] 179/287, 3.7 task/s, elapsed: 48s, ETA:    29s
[>>>>>>>>>>>>>>>>>>            ] 180/287, 3.7 task/s, elapsed: 49s, ETA:    29s
[>>>>>>>>>>>>>>>>>>            ] 181/287, 3.7 task/s, elapsed: 49s, ETA:    29s
[>>>>>>>>>>>>>>>>>>>           ] 182/287, 3.7 task/s, elapsed: 50s, ETA:    29s
[>>>>>>>>>>>>>>>>>>>           ] 183/287, 3.7 task/s, elapsed: 50s, ETA:    28s
[>>>>>>>>>>>>>>>>>>>           ] 184/287, 3.7 task/s, elapsed: 50s, ETA:    28s
[>>>>>>>>>>>>>>>>>>>           ] 185/287, 3.7 task/s, elapsed: 50s, ETA:    27s
[>>>>>>>>>>>>>>>>>>>           ] 186/287, 3.7 task/s, elapsed: 50s, ETA:    27s
[>>>>>>>>>>>>>>>>>>>           ] 187/287, 3.8 task/s, elapsed: 50s, ETA:    27s
[>>>>>>>>>>>>>>>>>>>           ] 188/287, 3.8 task/s, elapsed: 50s, ETA:    26s
[>>>>>>>>>>>>>>>>>>>           ] 189/287, 3.8 task/s, elapsed: 50s, ETA:    26s
[>>>>>>>>>>>>>>>>>>>           ] 190/287, 3.8 task/s, elapsed: 50s, ETA:    25s
[>>>>>>>>>>>>>>>>>>>           ] 191/287, 3.8 task/s, elapsed: 50s, ETA:    25s
[>>>>>>>>>>>>>>>>>>>>          ] 192/287, 3.8 task/s, elapsed: 50s, ETA:    25s
[>>>>>>>>>>>>>>>>>>>>          ] 193/287, 3.9 task/s, elapsed: 50s, ETA:    24s
[>>>>>>>>>>>>>>>>>>>>          ] 194/287, 3.9 task/s, elapsed: 50s, ETA:    24s
[>>>>>>>>>>>>>>>>>>>>          ] 195/287, 3.9 task/s, elapsed: 50s, ETA:    24s
[>>>>>>>>>>>>>>>>>>>>          ] 196/287, 3.9 task/s, elapsed: 50s, ETA:    23s
[>>>>>>>>>>>>>>>>>>>>          ] 197/287, 3.9 task/s, elapsed: 50s, ETA:    23s
[>>>>>>>>>>>>>>>>>>>>          ] 198/287, 3.9 task/s, elapsed: 50s, ETA:    23s
[>>>>>>>>>>>>>>>>>>>>          ] 199/287, 4.0 task/s, elapsed: 50s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>>          ] 200/287, 4.0 task/s, elapsed: 50s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>>>         ] 201/287, 4.0 task/s, elapsed: 50s, ETA:    21s
[>>>>>>>>>>>>>>>>>>>>>         ] 202/287, 4.0 task/s, elapsed: 50s, ETA:    21s
[>>>>>>>>>>>>>>>>>>>>>         ] 203/287, 4.0 task/s, elapsed: 50s, ETA:    21s
[>>>>>>>>>>>>>>>>>>>>>         ] 204/287, 4.1 task/s, elapsed: 50s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>>         ] 205/287, 4.1 task/s, elapsed: 50s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>>         ] 206/287, 4.0 task/s, elapsed: 51s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>>         ] 207/287, 4.0 task/s, elapsed: 51s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>>         ] 208/287, 4.0 task/s, elapsed: 52s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>>         ] 209/287, 4.0 task/s, elapsed: 52s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>>         ] 210/287, 4.0 task/s, elapsed: 52s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>>>        ] 211/287, 4.0 task/s, elapsed: 52s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>>>        ] 212/287, 4.0 task/s, elapsed: 52s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>>>        ] 213/287, 4.0 task/s, elapsed: 53s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>>        ] 214/287, 4.0 task/s, elapsed: 53s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>>        ] 215/287, 4.0 task/s, elapsed: 53s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>>        ] 216/287, 4.0 task/s, elapsed: 54s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>>        ] 217/287, 4.0 task/s, elapsed: 54s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>        ] 218/287, 4.0 task/s, elapsed: 54s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>        ] 219/287, 4.0 task/s, elapsed: 55s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>        ] 220/287, 3.9 task/s, elapsed: 56s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 221/287, 3.9 task/s, elapsed: 56s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 222/287, 3.9 task/s, elapsed: 57s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 223/287, 3.9 task/s, elapsed: 57s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 224/287, 3.9 task/s, elapsed: 57s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 225/287, 3.9 task/s, elapsed: 57s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 226/287, 4.0 task/s, elapsed: 57s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 227/287, 4.0 task/s, elapsed: 57s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 228/287, 4.0 task/s, elapsed: 57s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 229/287, 4.0 task/s, elapsed: 57s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 230/287, 4.0 task/s, elapsed: 57s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 231/287, 4.0 task/s, elapsed: 57s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 232/287, 4.0 task/s, elapsed: 57s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 233/287, 4.1 task/s, elapsed: 57s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 234/287, 4.1 task/s, elapsed: 57s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 235/287, 4.1 task/s, elapsed: 57s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 236/287, 4.1 task/s, elapsed: 58s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 237/287, 4.1 task/s, elapsed: 58s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 238/287, 4.1 task/s, elapsed: 58s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 239/287, 4.1 task/s, elapsed: 58s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 240/287, 4.2 task/s, elapsed: 58s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 241/287, 4.2 task/s, elapsed: 58s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 242/287, 4.2 task/s, elapsed: 58s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 243/287, 4.2 task/s, elapsed: 58s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 244/287, 4.2 task/s, elapsed: 58s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 245/287, 4.2 task/s, elapsed: 58s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 246/287, 4.3 task/s, elapsed: 58s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 247/287, 4.3 task/s, elapsed: 58s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 248/287, 4.3 task/s, elapsed: 58s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 249/287, 4.3 task/s, elapsed: 58s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 250/287, 4.3 task/s, elapsed: 58s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 251/287, 4.3 task/s, elapsed: 58s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 252/287, 4.4 task/s, elapsed: 58s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 253/287, 4.4 task/s, elapsed: 58s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 254/287, 4.4 task/s, elapsed: 58s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 255/287, 4.4 task/s, elapsed: 58s, ETA:     7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 256/287, 4.4 task/s, elapsed: 58s, ETA:     7s
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[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 258/287, 4.5 task/s, elapsed: 58s, ETA:     7s
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dataset                       version    metric                        mode    internvl-chat-20b
----------------------------  ---------  ----------------------------  ------  -------------------
mmlu                          -          naive_average                 gen     47.29
mmlu_pro                      -          -                             -       -
cmmlu                         -          naive_average                 gen     46.11
ceval                         -          naive_average                 gen     48.59
agieval                       -          -                             -       -
GaokaoBench                   -          weighted_average              gen     33.12
GPQA_extended                 -          -                             -       -
GPQA_main                     -          -                             -       -
GPQA_diamond                  -          -                             -       -
ARC-c                         -          -                             -       -
truthfulqa                    -          -                             -       -
triviaqa                      2121ce     score                         gen     37.26
triviaqa_wiki_1shot           -          -                             -       -
nq                            3dcea1     score                         gen     15.32
C3                            8c358f     accuracy                      gen     75.78
race-high                     9a54b6     accuracy                      gen     73.96
flores_100                    -          -                             -       -
winogrande                    b36770     accuracy                      gen     56.51
hellaswag                     e42710     accuracy                      gen     57.91
bbh                           -          naive_average                 gen     37.91
gsm8k                         1d7fe4     accuracy                      gen     42.68
math                          393424     accuracy                      gen     10.98
TheoremQA                     6f0af8     score                         gen     13.88
MathBench                     -          -                             -       -
openai_humaneval              8e312c     humaneval_pass@1              gen     34.76
humaneval_plus                -          -                             -       -
humanevalx                    -          -                             -       -
sanitized_mbpp                a447ff     score                         gen     40.86
mbpp_plus                     -          -                             -       -
mbpp_cn                       6fb572     score                         gen     28.20
leval                         -          -                             -       -
leval_closed                  -          -                             -       -
leval_open                    -          -                             -       -
longbench                     -          -                             -       -
longbench_single-document-qa  -          -                             -       -
longbench_multi-document-qa   -          -                             -       -
longbench_summarization       -          -                             -       -
longbench_few-shot-learning   -          -                             -       -
longbench_synthetic-tasks     -          -                             -       -
longbench_code-completion     -          -                             -       -
teval                         -          -                             -       -
teval_zh                      -          -                             -       -
IFEval                        3321a3     Prompt-level-strict-accuracy  gen     17.38
IFEval                        3321a3     Inst-level-strict-accuracy    gen     29.50
IFEval                        3321a3     Prompt-level-loose-accuracy   gen     20.89
IFEval                        3321a3     Inst-level-loose-accuracy     gen     33.45
12/05 04:09:09 - OpenCompass - INFO - write summary to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain/20241205_035305/summary/summary_20241205_035305.txt
12/05 04:09:09 - OpenCompass - INFO - write csv to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain/20241205_035305/summary/summary_20241205_035305.csv