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/InternVL2-26B
12/05 02:39:19 - OpenCompass - WARNING - No previous results to reuse!
12/05 02:39:19 - OpenCompass - INFO - Reusing experiements from 20241205_023919
12/05 02:39:19 - OpenCompass - INFO - Current exp folder: /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B/20241205_023919
12/05 02:39:22 - 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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13148 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12330_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17574 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12058_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21266 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12078_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22208 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12329_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22566 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12320_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13603 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12071_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12151_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30232 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12074_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13541 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12079_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17489 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12119_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12317_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24510 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12327_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26572 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12083_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22730 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12328_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30059 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12065_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19117 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12049_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12972 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12306_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20732 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12051_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20538 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12047_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23937 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12321_params.py
command torchrun --master_port=20506 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12316_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25456 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12318_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18257 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12110_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25627 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12326_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23200 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12322_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15630 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12331_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28026 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12319_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28509 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12034_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22333 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12088_params.py
command torchrun --master_port=22481 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12324_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30812 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12090_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29503 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12021_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25809 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12048_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14074 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12302_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15079 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12117_params.py
command torchrun --master_port=16776 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12084_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12995 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12293_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21299 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12289_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19106 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12325_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14915 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12068_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29321 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12256_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21342 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12112_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17010 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12081_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31800 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12012_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27971 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12096_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29907 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12332_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26551 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12309_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}

command torchrun --master_port=21922 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12132_params.pycommand
 torchrun --master_port=13545 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12315_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/InternVL2-26B', '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/12067_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30295 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12036_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28031 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12019_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30394 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12312_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29479 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12222_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24307 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12050_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19108 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12045_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12411 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12250_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13981 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12148_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21973 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12301_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13954 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12089_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15535 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12023_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28817 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12022_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24116 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12230_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29516 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12020_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26160 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12228_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21039 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12307_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19263 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12002_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27913 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12241_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21097 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12229_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28207 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12279_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28352 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12305_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13885 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12304_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17961 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12092_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19258 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12011_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23795 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12155_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19546 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12308_params.py
command torchrun --master_port=30502 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12018_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15486 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12296_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19335 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12091_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18344 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12314_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29993 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12111_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16172 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12221_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12443 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12248_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20906 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12137_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13375 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12284_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12252_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13488 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12249_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16055 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12311_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21337 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12310_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26746 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12055_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31622 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12243_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29091 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12246_params.py
command torchrun --master_port=29031 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12231_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27028 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12251_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/InternVL2-26B', '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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand  torchrun --master_port=24496 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12118_params.pytorchrun --master_port=20367 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12313_params.py
command
 torchrun --master_port=20339 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12076_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22412 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12003_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31246 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12238_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/InternVL2-26B', '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/12105_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23633 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12013_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24815 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12123_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12748 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12292_params.py
command torchrun --master_port=24670 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12294_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12957 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12323_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25639 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12133_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14531 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12233_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22422 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12104_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25892 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12212_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14520 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12029_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22465 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12097_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12826 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12300_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23077 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12213_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12911 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12239_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17915 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12234_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29460 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12295_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28978 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12299_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26901 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12247_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19831 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12219_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12973 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12190_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23557 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12102_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23438 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12146_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19582 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12172_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16877 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12152_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14360 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12113_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30230 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12261_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27866 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12274_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18463 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12290_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31393 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12298_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25650 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12237_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12918 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12156_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27359 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12303_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18374 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12115_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22286 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12177_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22758 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12235_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13660 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12178_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16077 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12007_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12895 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12227_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17481 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12106_params.py
use_backenduse_backend 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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25791 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12215_params.py
command torchrun --master_port=18967 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12107_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26331 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12114_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30981 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12265_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31501 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12216_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendcommand  torchrun --master_port=29716 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12070_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26138 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12082_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16811 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12139_params.py
command torchrun --master_port=22927 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12149_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31404 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12220_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16834 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12203_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12677 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12225_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29781 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12236_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20483 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12170_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13969 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12211_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14650 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12242_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17981 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12158_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31260 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12273_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command commandtorchrun --master_port=18371 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12218_params.py 
torchrun --master_port=19307 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12173_params.py
command torchrun --master_port=31299 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12153_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23200 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12267_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18321 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12223_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14275 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12291_params.py
command torchrun --master_port=21624 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12175_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29688 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12214_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29764 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12199_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18184 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12138_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23847 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12217_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15443 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12201_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28120 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12245_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18497 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12244_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24462 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12094_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21984 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12121_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16342 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12176_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26563 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12122_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23752 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12224_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26357 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12145_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12598 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12095_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30036 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12085_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28865 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12191_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14621 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12150_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29947 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12204_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22225 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12171_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29071 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12080_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19055 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12010_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13786 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12031_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22104 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12169_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16348 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12075_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17941 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12004_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23338 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12202_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30293 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12143_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21971 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12159_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28658 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12005_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30185 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12161_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30396 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12166_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17914 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12162_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25838 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12154_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13131 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12168_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29602 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12157_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15031 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12140_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28243 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12144_params.py
command torchrun --master_port=16805 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12060_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22918 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12101_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13455 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12167_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24651 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12054_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24054 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12108_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22443 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12142_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15816 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12134_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21536 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12232_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31319 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12109_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18193 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12116_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26098 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12160_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26695 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12163_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30586 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12087_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25824 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12052_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18053 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12043_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13577 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12192_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12760 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12128_params.py
use_backend False 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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18985 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12093_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15502 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12069_params.py
command torchrun --master_port=24543 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12141_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26133 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12164_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/InternVL2-26B', '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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12435 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12066_params.py
command torchrun --master_port=16792 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12027_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20683 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12059_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27808 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12100_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12243 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12086_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19369 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12030_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27709 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12035_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22897 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12056_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26542 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12044_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False command torchrun --master_port=14655 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12147_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21853 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12120_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31054 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12037_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13282 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12038_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30934 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12046_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19177 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12041_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25840 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12057_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24436 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12008_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26284 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12001_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31649 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12017_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31091 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12025_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31307 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12028_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24846 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12042_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28845 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12024_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22021 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12014_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25160 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12033_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26373 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12015_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29057 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12026_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27787 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12009_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24685 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12016_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25725 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12039_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19818 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12040_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17931 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12053_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21442 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12006_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14996 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12032_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/InternVL2-26B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15408 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/12038_params.py

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[>>>>>>>                       ] 64/256, 0.1 task/s, elapsed: 591s, ETA:  1772s
[>>>>>>>                       ] 65/256, 0.1 task/s, elapsed: 591s, ETA:  1738s
[>>>>>>>                       ] 66/256, 0.1 task/s, elapsed: 592s, ETA:  1704s
[>>>>>>>                       ] 67/256, 0.1 task/s, elapsed: 592s, ETA:  1670s
[>>>>>>>                       ] 68/256, 0.1 task/s, elapsed: 594s, ETA:  1643s
[>>>>>>>>                      ] 69/256, 0.1 task/s, elapsed: 595s, ETA:  1613s
[>>>>>>>>                      ] 70/256, 0.1 task/s, elapsed: 595s, ETA:  1582s
[>>>>>>>>                      ] 71/256, 0.1 task/s, elapsed: 596s, ETA:  1554s
[>>>>>>>>                      ] 72/256, 0.1 task/s, elapsed: 597s, ETA:  1525s
[>>>>>>>>                      ] 73/256, 0.1 task/s, elapsed: 600s, ETA:  1503s
[>>>>>>>>                      ] 74/256, 0.1 task/s, elapsed: 600s, ETA:  1476s
[>>>>>>>>                      ] 75/256, 0.1 task/s, elapsed: 600s, ETA:  1448s
[>>>>>>>>                      ] 76/256, 0.1 task/s, elapsed: 600s, ETA:  1422s
[>>>>>>>>>                     ] 77/256, 0.1 task/s, elapsed: 602s, ETA:  1399s
[>>>>>>>>>                     ] 78/256, 0.1 task/s, elapsed: 604s, ETA:  1378s
[>>>>>>>>>                     ] 79/256, 0.1 task/s, elapsed: 604s, ETA:  1354s
[>>>>>>>>>                     ] 80/256, 0.1 task/s, elapsed: 605s, ETA:  1330s
[>>>>>>>>>                     ] 81/256, 0.1 task/s, elapsed: 605s, ETA:  1307s
[>>>>>>>>>                     ] 82/256, 0.1 task/s, elapsed: 606s, ETA:  1287s
[>>>>>>>>>                     ] 83/256, 0.1 task/s, elapsed: 608s, ETA:  1266s
[>>>>>>>>>                     ] 84/256, 0.1 task/s, elapsed: 609s, ETA:  1246s
[>>>>>>>>>                     ] 85/256, 0.1 task/s, elapsed: 609s, ETA:  1225s
[>>>>>>>>>>                    ] 86/256, 0.1 task/s, elapsed: 610s, ETA:  1205s
[>>>>>>>>>>                    ] 87/256, 0.1 task/s, elapsed: 611s, ETA:  1186s
[>>>>>>>>>>                    ] 88/256, 0.1 task/s, elapsed: 611s, ETA:  1166s
[>>>>>>>>>>                    ] 89/256, 0.1 task/s, elapsed: 611s, ETA:  1147s
[>>>>>>>>>>                    ] 90/256, 0.1 task/s, elapsed: 614s, ETA:  1133s
[>>>>>>>>>>                    ] 91/256, 0.1 task/s, elapsed: 615s, ETA:  1116s
[>>>>>>>>>>                    ] 92/256, 0.1 task/s, elapsed: 616s, ETA:  1097s
[>>>>>>>>>>                    ] 93/256, 0.2 task/s, elapsed: 616s, ETA:  1080s
[>>>>>>>>>>>                   ] 94/256, 0.2 task/s, elapsed: 617s, ETA:  1063s
[>>>>>>>>>>>                   ] 95/256, 0.2 task/s, elapsed: 617s, ETA:  1046s
[>>>>>>>>>>>                   ] 96/256, 0.2 task/s, elapsed: 618s, ETA:  1029s
[>>>>>>>>>>>                   ] 97/256, 0.2 task/s, elapsed: 619s, ETA:  1015s
[>>>>>>>>>>>                   ] 98/256, 0.2 task/s, elapsed: 620s, ETA:   999s
[>>>>>>>>>>>                   ] 99/256, 0.2 task/s, elapsed: 624s, ETA:   990s
[>>>>>>>>>>>                  ] 100/256, 0.2 task/s, elapsed: 626s, ETA:   976s
[>>>>>>>>>>>                  ] 101/256, 0.2 task/s, elapsed: 626s, ETA:   961s
[>>>>>>>>>>>                  ] 102/256, 0.2 task/s, elapsed: 626s, ETA:   946s
[>>>>>>>>>>>                  ] 103/256, 0.2 task/s, elapsed: 629s, ETA:   934s
[>>>>>>>>>>>                  ] 104/256, 0.2 task/s, elapsed: 630s, ETA:   920s
[>>>>>>>>>>>                  ] 105/256, 0.2 task/s, elapsed: 634s, ETA:   911s
[>>>>>>>>>>>>                 ] 106/256, 0.2 task/s, elapsed: 635s, ETA:   898s
[>>>>>>>>>>>>                 ] 107/256, 0.2 task/s, elapsed: 636s, ETA:   886s
[>>>>>>>>>>>>                 ] 108/256, 0.2 task/s, elapsed: 636s, ETA:   872s
[>>>>>>>>>>>>                 ] 109/256, 0.2 task/s, elapsed: 637s, ETA:   859s
[>>>>>>>>>>>>                 ] 110/256, 0.2 task/s, elapsed: 640s, ETA:   849s
[>>>>>>>>>>>>                 ] 111/256, 0.2 task/s, elapsed: 640s, ETA:   836s
[>>>>>>>>>>>>                 ] 112/256, 0.2 task/s, elapsed: 641s, ETA:   824s
[>>>>>>>>>>>>                 ] 113/256, 0.2 task/s, elapsed: 641s, ETA:   811s
[>>>>>>>>>>>>                 ] 114/256, 0.2 task/s, elapsed: 642s, ETA:   800s
[>>>>>>>>>>>>>                ] 115/256, 0.2 task/s, elapsed: 642s, ETA:   787s
[>>>>>>>>>>>>>                ] 116/256, 0.2 task/s, elapsed: 645s, ETA:   779s
[>>>>>>>>>>>>>                ] 117/256, 0.2 task/s, elapsed: 647s, ETA:   769s
[>>>>>>>>>>>>>                ] 118/256, 0.2 task/s, elapsed: 649s, ETA:   759s
[>>>>>>>>>>>>>                ] 119/256, 0.2 task/s, elapsed: 651s, ETA:   750s
[>>>>>>>>>>>>>                ] 120/256, 0.2 task/s, elapsed: 651s, ETA:   738s
[>>>>>>>>>>>>>                ] 121/256, 0.2 task/s, elapsed: 654s, ETA:   730s
[>>>>>>>>>>>>>                ] 122/256, 0.2 task/s, elapsed: 656s, ETA:   721s
[>>>>>>>>>>>>>                ] 123/256, 0.2 task/s, elapsed: 656s, ETA:   710s
[>>>>>>>>>>>>>>               ] 124/256, 0.2 task/s, elapsed: 657s, ETA:   699s
[>>>>>>>>>>>>>>               ] 125/256, 0.2 task/s, elapsed: 657s, ETA:   688s
[>>>>>>>>>>>>>>               ] 126/256, 0.2 task/s, elapsed: 659s, ETA:   680s
[>>>>>>>>>>>>>>               ] 127/256, 0.2 task/s, elapsed: 660s, ETA:   670s
[>>>>>>>>>>>>>>               ] 128/256, 0.2 task/s, elapsed: 661s, ETA:   661s
[>>>>>>>>>>>>>>               ] 129/256, 0.2 task/s, elapsed: 661s, ETA:   651s
[>>>>>>>>>>>>>>               ] 130/256, 0.2 task/s, elapsed: 662s, ETA:   641s
[>>>>>>>>>>>>>>               ] 131/256, 0.2 task/s, elapsed: 662s, ETA:   632s
[>>>>>>>>>>>>>>               ] 132/256, 0.2 task/s, elapsed: 662s, ETA:   622s
[>>>>>>>>>>>>>>>              ] 133/256, 0.2 task/s, elapsed: 667s, ETA:   617s
[>>>>>>>>>>>>>>>              ] 134/256, 0.2 task/s, elapsed: 669s, ETA:   609s
[>>>>>>>>>>>>>>>              ] 135/256, 0.2 task/s, elapsed: 670s, ETA:   600s
[>>>>>>>>>>>>>>>              ] 136/256, 0.2 task/s, elapsed: 670s, ETA:   591s
[>>>>>>>>>>>>>>>              ] 137/256, 0.2 task/s, elapsed: 670s, ETA:   582s
[>>>>>>>>>>>>>>>              ] 138/256, 0.2 task/s, elapsed: 671s, ETA:   574s
[>>>>>>>>>>>>>>>              ] 139/256, 0.2 task/s, elapsed: 671s, ETA:   565s
[>>>>>>>>>>>>>>>              ] 140/256, 0.2 task/s, elapsed: 671s, ETA:   556s
[>>>>>>>>>>>>>>>              ] 141/256, 0.2 task/s, elapsed: 673s, ETA:   549s
[>>>>>>>>>>>>>>>>             ] 142/256, 0.2 task/s, elapsed: 675s, ETA:   542s
[>>>>>>>>>>>>>>>>             ] 143/256, 0.2 task/s, elapsed: 675s, ETA:   533s
[>>>>>>>>>>>>>>>>             ] 144/256, 0.2 task/s, elapsed: 677s, ETA:   527s
[>>>>>>>>>>>>>>>>             ] 145/256, 0.2 task/s, elapsed: 677s, ETA:   518s
[>>>>>>>>>>>>>>>>             ] 146/256, 0.2 task/s, elapsed: 679s, ETA:   512s
[>>>>>>>>>>>>>>>>             ] 147/256, 0.2 task/s, elapsed: 679s, ETA:   504s
[>>>>>>>>>>>>>>>>             ] 148/256, 0.2 task/s, elapsed: 680s, ETA:   496s
[>>>>>>>>>>>>>>>>             ] 149/256, 0.2 task/s, elapsed: 681s, ETA:   489s
[>>>>>>>>>>>>>>>>             ] 150/256, 0.2 task/s, elapsed: 681s, ETA:   481s
[>>>>>>>>>>>>>>>>>            ] 151/256, 0.2 task/s, elapsed: 681s, ETA:   474s
[>>>>>>>>>>>>>>>>>            ] 152/256, 0.2 task/s, elapsed: 684s, ETA:   468s
[>>>>>>>>>>>>>>>>>            ] 153/256, 0.2 task/s, elapsed: 684s, ETA:   461s
[>>>>>>>>>>>>>>>>>            ] 154/256, 0.2 task/s, elapsed: 689s, ETA:   456s
[>>>>>>>>>>>>>>>>>            ] 155/256, 0.2 task/s, elapsed: 689s, ETA:   449s
[>>>>>>>>>>>>>>>>>            ] 156/256, 0.2 task/s, elapsed: 690s, ETA:   443s
[>>>>>>>>>>>>>>>>>            ] 157/256, 0.2 task/s, elapsed: 690s, ETA:   435s
[>>>>>>>>>>>>>>>>>            ] 158/256, 0.2 task/s, elapsed: 692s, ETA:   429s
[>>>>>>>>>>>>>>>>>>           ] 159/256, 0.2 task/s, elapsed: 692s, ETA:   422s
[>>>>>>>>>>>>>>>>>>           ] 160/256, 0.2 task/s, elapsed: 692s, ETA:   415s
[>>>>>>>>>>>>>>>>>>           ] 161/256, 0.2 task/s, elapsed: 694s, ETA:   409s
[>>>>>>>>>>>>>>>>>>           ] 162/256, 0.2 task/s, elapsed: 695s, ETA:   403s
[>>>>>>>>>>>>>>>>>>           ] 163/256, 0.2 task/s, elapsed: 696s, ETA:   397s
[>>>>>>>>>>>>>>>>>>           ] 164/256, 0.2 task/s, elapsed: 697s, ETA:   391s
[>>>>>>>>>>>>>>>>>>           ] 165/256, 0.2 task/s, elapsed: 697s, ETA:   385s
[>>>>>>>>>>>>>>>>>>           ] 166/256, 0.2 task/s, elapsed: 698s, ETA:   378s
[>>>>>>>>>>>>>>>>>>           ] 167/256, 0.2 task/s, elapsed: 699s, ETA:   373s
[>>>>>>>>>>>>>>>>>>>          ] 168/256, 0.2 task/s, elapsed: 699s, ETA:   366s
[>>>>>>>>>>>>>>>>>>>          ] 169/256, 0.2 task/s, elapsed: 701s, ETA:   361s
[>>>>>>>>>>>>>>>>>>>          ] 170/256, 0.2 task/s, elapsed: 702s, ETA:   355s
[>>>>>>>>>>>>>>>>>>>          ] 171/256, 0.2 task/s, elapsed: 702s, ETA:   349s
[>>>>>>>>>>>>>>>>>>>          ] 172/256, 0.2 task/s, elapsed: 703s, ETA:   343s
[>>>>>>>>>>>>>>>>>>>          ] 173/256, 0.2 task/s, elapsed: 704s, ETA:   338s
[>>>>>>>>>>>>>>>>>>>          ] 174/256, 0.2 task/s, elapsed: 704s, ETA:   332s
[>>>>>>>>>>>>>>>>>>>          ] 175/256, 0.2 task/s, elapsed: 706s, ETA:   327s
[>>>>>>>>>>>>>>>>>>>          ] 176/256, 0.2 task/s, elapsed: 706s, ETA:   321s
[>>>>>>>>>>>>>>>>>>>>         ] 177/256, 0.2 task/s, elapsed: 709s, ETA:   316s
[>>>>>>>>>>>>>>>>>>>>         ] 178/256, 0.3 task/s, elapsed: 709s, ETA:   311s
[>>>>>>>>>>>>>>>>>>>>         ] 179/256, 0.3 task/s, elapsed: 710s, ETA:   306s
[>>>>>>>>>>>>>>>>>>>>         ] 180/256, 0.3 task/s, elapsed: 711s, ETA:   300s
[>>>>>>>>>>>>>>>>>>>>         ] 181/256, 0.3 task/s, elapsed: 712s, ETA:   295s
[>>>>>>>>>>>>>>>>>>>>         ] 182/256, 0.3 task/s, elapsed: 714s, ETA:   290s
[>>>>>>>>>>>>>>>>>>>>         ] 183/256, 0.3 task/s, elapsed: 715s, ETA:   285s
[>>>>>>>>>>>>>>>>>>>>         ] 184/256, 0.3 task/s, elapsed: 715s, ETA:   280s
[>>>>>>>>>>>>>>>>>>>>         ] 185/256, 0.3 task/s, elapsed: 716s, ETA:   275s
[>>>>>>>>>>>>>>>>>>>>>        ] 186/256, 0.3 task/s, elapsed: 717s, ETA:   270s
[>>>>>>>>>>>>>>>>>>>>>        ] 187/256, 0.3 task/s, elapsed: 719s, ETA:   265s
[>>>>>>>>>>>>>>>>>>>>>        ] 188/256, 0.3 task/s, elapsed: 719s, ETA:   260s
[>>>>>>>>>>>>>>>>>>>>>        ] 189/256, 0.3 task/s, elapsed: 720s, ETA:   255s
[>>>>>>>>>>>>>>>>>>>>>        ] 190/256, 0.3 task/s, elapsed: 721s, ETA:   250s
[>>>>>>>>>>>>>>>>>>>>>        ] 191/256, 0.3 task/s, elapsed: 721s, ETA:   245s
[>>>>>>>>>>>>>>>>>>>>>        ] 192/256, 0.3 task/s, elapsed: 722s, ETA:   241s
[>>>>>>>>>>>>>>>>>>>>>        ] 193/256, 0.3 task/s, elapsed: 724s, ETA:   236s
[>>>>>>>>>>>>>>>>>>>>>        ] 194/256, 0.3 task/s, elapsed: 726s, ETA:   232s
[>>>>>>>>>>>>>>>>>>>>>>       ] 195/256, 0.3 task/s, elapsed: 727s, ETA:   228s
[>>>>>>>>>>>>>>>>>>>>>>       ] 196/256, 0.3 task/s, elapsed: 732s, ETA:   224s
[>>>>>>>>>>>>>>>>>>>>>>       ] 197/256, 0.3 task/s, elapsed: 734s, ETA:   220s
[>>>>>>>>>>>>>>>>>>>>>>       ] 198/256, 0.3 task/s, elapsed: 737s, ETA:   216s
[>>>>>>>>>>>>>>>>>>>>>>       ] 199/256, 0.3 task/s, elapsed: 741s, ETA:   212s
[>>>>>>>>>>>>>>>>>>>>>>       ] 200/256, 0.3 task/s, elapsed: 742s, ETA:   208s
[>>>>>>>>>>>>>>>>>>>>>>       ] 201/256, 0.3 task/s, elapsed: 742s, ETA:   203s
[>>>>>>>>>>>>>>>>>>>>>>       ] 202/256, 0.3 task/s, elapsed: 744s, ETA:   199s
[>>>>>>>>>>>>>>>>>>>>>>       ] 203/256, 0.3 task/s, elapsed: 745s, ETA:   194s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 204/256, 0.3 task/s, elapsed: 745s, ETA:   190s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 205/256, 0.3 task/s, elapsed: 746s, ETA:   186s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 206/256, 0.3 task/s, elapsed: 749s, ETA:   182s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 207/256, 0.3 task/s, elapsed: 751s, ETA:   178s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 208/256, 0.3 task/s, elapsed: 752s, ETA:   174s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 209/256, 0.3 task/s, elapsed: 756s, ETA:   170s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 210/256, 0.3 task/s, elapsed: 757s, ETA:   166s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 211/256, 0.3 task/s, elapsed: 758s, ETA:   162s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 212/256, 0.3 task/s, elapsed: 759s, ETA:   158s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 213/256, 0.3 task/s, elapsed: 762s, ETA:   154s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 214/256, 0.3 task/s, elapsed: 762s, ETA:   150s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 215/256, 0.3 task/s, elapsed: 764s, ETA:   146s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 216/256, 0.3 task/s, elapsed: 770s, ETA:   143s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 217/256, 0.3 task/s, elapsed: 770s, ETA:   138s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 218/256, 0.3 task/s, elapsed: 771s, ETA:   134s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 219/256, 0.3 task/s, elapsed: 775s, ETA:   131s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 220/256, 0.3 task/s, elapsed: 777s, ETA:   127s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 221/256, 0.3 task/s, elapsed: 780s, ETA:   124s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 222/256, 0.3 task/s, elapsed: 781s, ETA:   120s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 223/256, 0.3 task/s, elapsed: 782s, ETA:   116s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 224/256, 0.3 task/s, elapsed: 786s, ETA:   112s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 225/256, 0.3 task/s, elapsed: 790s, ETA:   109s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 226/256, 0.3 task/s, elapsed: 790s, ETA:   105s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 227/256, 0.3 task/s, elapsed: 792s, ETA:   101s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 228/256, 0.3 task/s, elapsed: 795s, ETA:    98s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 229/256, 0.3 task/s, elapsed: 797s, ETA:    94s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 230/256, 0.3 task/s, elapsed: 799s, ETA:    90s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 231/256, 0.3 task/s, elapsed: 800s, ETA:    87s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 232/256, 0.3 task/s, elapsed: 807s, ETA:    84s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 233/256, 0.3 task/s, elapsed: 814s, ETA:    80s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 234/256, 0.3 task/s, elapsed: 814s, ETA:    77s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 235/256, 0.3 task/s, elapsed: 814s, ETA:    73s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 236/256, 0.3 task/s, elapsed: 821s, ETA:    70s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 237/256, 0.3 task/s, elapsed: 821s, ETA:    66s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 238/256, 0.3 task/s, elapsed: 824s, ETA:    62s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 239/256, 0.3 task/s, elapsed: 831s, ETA:    59s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 240/256, 0.3 task/s, elapsed: 832s, ETA:    55s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 241/256, 0.3 task/s, elapsed: 837s, ETA:    52s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 242/256, 0.3 task/s, elapsed: 844s, ETA:    49s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 243/256, 0.3 task/s, elapsed: 845s, ETA:    45s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 244/256, 0.3 task/s, elapsed: 859s, ETA:    42s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 245/256, 0.3 task/s, elapsed: 866s, ETA:    39s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 246/256, 0.3 task/s, elapsed: 870s, ETA:    35s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 247/256, 0.3 task/s, elapsed: 877s, ETA:    32s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 248/256, 0.3 task/s, elapsed: 895s, ETA:    29s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 249/256, 0.3 task/s, elapsed: 904s, ETA:    25s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 250/256, 0.3 task/s, elapsed: 905s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 251/256, 0.3 task/s, elapsed: 912s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 252/256, 0.3 task/s, elapsed: 939s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 253/256, 0.3 task/s, elapsed: 944s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/256, 0.3 task/s, elapsed: 954s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/256, 0.3 task/s, elapsed: 957s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 256/256, 0.3 task/s, elapsed: 1014s, ETA:     0s
12/05 02:56:25 - OpenCompass - INFO - Partitioned into 287 tasks.
[                                                  ] 0/287, elapsed: 0s, ETA:
[                                ] 1/287, 0.0 task/s, elapsed: 60s, ETA: 17259s
[                                ] 2/287, 0.0 task/s, elapsed: 60s, ETA:  8606s
[                                ] 3/287, 0.0 task/s, elapsed: 60s, ETA:  5719s
[                                ] 4/287, 0.1 task/s, elapsed: 60s, ETA:  4278s
[                                ] 5/287, 0.1 task/s, elapsed: 60s, ETA:  3411s
[                                ] 6/287, 0.1 task/s, elapsed: 61s, ETA:  2834s
[                                ] 7/287, 0.1 task/s, elapsed: 61s, ETA:  2421s
[                                ] 8/287, 0.1 task/s, elapsed: 61s, ETA:  2111s
[>                               ] 9/287, 0.1 task/s, elapsed: 61s, ETA:  1870s
[>                              ] 10/287, 0.2 task/s, elapsed: 61s, ETA:  1678s
[>                              ] 11/287, 0.2 task/s, elapsed: 61s, ETA:  1520s
[>                              ] 12/287, 0.2 task/s, elapsed: 61s, ETA:  1391s
[>                              ] 13/287, 0.2 task/s, elapsed: 61s, ETA:  1280s
[>                              ] 14/287, 0.2 task/s, elapsed: 61s, ETA:  1185s
[>                              ] 15/287, 0.2 task/s, elapsed: 61s, ETA:  1103s
[>                              ] 16/287, 0.3 task/s, elapsed: 61s, ETA:  1030s
[>                              ] 17/287, 0.3 task/s, elapsed: 61s, ETA:   966s
[>                              ] 18/287, 0.3 task/s, elapsed: 61s, ETA:   909s
[>>                             ] 19/287, 0.3 task/s, elapsed: 61s, ETA:   859s
[>>                             ] 20/287, 0.3 task/s, elapsed: 61s, ETA:   813s
[>>                             ] 21/287, 0.3 task/s, elapsed: 61s, ETA:   772s
[>>                             ] 22/287, 0.4 task/s, elapsed: 61s, ETA:   735s
[>>                             ] 23/287, 0.4 task/s, elapsed: 61s, ETA:   701s
[>>                             ] 24/287, 0.4 task/s, elapsed: 61s, ETA:   670s
[>>                             ] 25/287, 0.4 task/s, elapsed: 62s, ETA:   645s
[>>                             ] 26/287, 0.4 task/s, elapsed: 62s, ETA:   619s
[>>                             ] 27/287, 0.4 task/s, elapsed: 62s, ETA:   594s
[>>>                            ] 28/287, 0.5 task/s, elapsed: 62s, ETA:   570s
[>>>                            ] 29/287, 0.5 task/s, elapsed: 62s, ETA:   549s
[>>>                            ] 30/287, 0.5 task/s, elapsed: 62s, ETA:   529s
[>>>                            ] 31/287, 0.5 task/s, elapsed: 62s, ETA:   510s
[>>>                            ] 32/287, 0.5 task/s, elapsed: 62s, ETA:   492s
[>>>                            ] 33/287, 0.5 task/s, elapsed: 62s, ETA:   475s
[>>>                            ] 34/287, 0.6 task/s, elapsed: 62s, ETA:   460s
[>>>                            ] 35/287, 0.6 task/s, elapsed: 62s, ETA:   445s
[>>>                            ] 36/287, 0.6 task/s, elapsed: 62s, ETA:   431s
[>>>                            ] 37/287, 0.6 task/s, elapsed: 62s, ETA:   418s
[>>>>                           ] 38/287, 0.6 task/s, elapsed: 62s, ETA:   406s
[>>>>                           ] 39/287, 0.6 task/s, elapsed: 62s, ETA:   394s
[>>>>                           ] 40/287, 0.6 task/s, elapsed: 62s, ETA:   382s
[>>>>                           ] 41/287, 0.7 task/s, elapsed: 62s, ETA:   371s
[>>>>                           ] 42/287, 0.7 task/s, elapsed: 62s, ETA:   361s
[>>>>                           ] 43/287, 0.7 task/s, elapsed: 62s, ETA:   352s
[>>>>                           ] 44/287, 0.7 task/s, elapsed: 62s, ETA:   342s
[>>>>                           ] 45/287, 0.7 task/s, elapsed: 62s, ETA:   333s
[>>>>                           ] 46/287, 0.7 task/s, elapsed: 62s, ETA:   325s
[>>>>>                          ] 47/287, 0.8 task/s, elapsed: 62s, ETA:   317s
[>>>>>                          ] 48/287, 0.8 task/s, elapsed: 62s, ETA:   310s
[>>>>>                          ] 49/287, 0.8 task/s, elapsed: 64s, ETA:   313s
[>>>>>                          ] 50/287, 0.8 task/s, elapsed: 65s, ETA:   306s
[>>>>>                          ] 51/287, 0.8 task/s, elapsed: 65s, ETA:   299s
[>>>>>                          ] 52/287, 0.8 task/s, elapsed: 65s, ETA:   292s
[>>>>>                          ] 53/287, 0.8 task/s, elapsed: 65s, ETA:   287s
[>>>>>                          ] 54/287, 0.8 task/s, elapsed: 65s, ETA:   280s
[>>>>>                          ] 55/287, 0.8 task/s, elapsed: 65s, ETA:   274s
[>>>>>>                         ] 56/287, 0.9 task/s, elapsed: 65s, ETA:   269s
[>>>>>>                         ] 57/287, 0.9 task/s, elapsed: 65s, ETA:   263s
[>>>>>>                         ] 58/287, 0.9 task/s, elapsed: 65s, ETA:   258s
[>>>>>>                         ] 59/287, 0.9 task/s, elapsed: 65s, ETA:   252s
[>>>>>>                         ] 60/287, 0.9 task/s, elapsed: 65s, ETA:   247s
[>>>>>>                         ] 61/287, 0.9 task/s, elapsed: 65s, ETA:   242s
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[>>>>>>                         ] 63/287, 1.0 task/s, elapsed: 65s, ETA:   232s
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[>>>>>>>                        ] 65/287, 1.0 task/s, elapsed: 65s, ETA:   223s
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[>>>>>>>                        ] 69/287, 1.1 task/s, elapsed: 65s, ETA:   207s
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[>>>>>>>                        ] 71/287, 1.1 task/s, elapsed: 66s, ETA:   199s
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[>>>>>>>                        ] 73/287, 0.9 task/s, elapsed: 80s, ETA:   235s
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[>>>>>>>>                       ] 75/287, 0.9 task/s, elapsed: 80s, ETA:   226s
[>>>>>>>>                       ] 76/287, 0.9 task/s, elapsed: 80s, ETA:   222s
[>>>>>>>>                       ] 77/287, 1.0 task/s, elapsed: 80s, ETA:   218s
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[>>>>>>>>                       ] 82/287, 1.0 task/s, elapsed: 81s, ETA:   202s
[>>>>>>>>                       ] 83/287, 1.0 task/s, elapsed: 81s, ETA:   199s
[>>>>>>>>>                      ] 84/287, 1.0 task/s, elapsed: 82s, ETA:   197s
[>>>>>>>>>                      ] 85/287, 1.0 task/s, elapsed: 82s, ETA:   195s
[>>>>>>>>>                      ] 86/287, 1.1 task/s, elapsed: 82s, ETA:   191s
[>>>>>>>>>                      ] 87/287, 1.1 task/s, elapsed: 82s, ETA:   189s
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[>>>>>>>>>>>                   ] 108/287, 1.3 task/s, elapsed: 86s, ETA:   142s
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[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 286/287, 1.9 task/s, elapsed: 151s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 287/287, 1.9 task/s, elapsed: 152s, ETA:     0s
dataset                       version    metric                        mode    internvl-chat-20b
----------------------------  ---------  ----------------------------  ------  -------------------
mmlu                          -          naive_average                 gen     68.12
mmlu_pro                      -          -                             -       -
cmmlu                         -          naive_average                 gen     68.14
ceval                         -          naive_average                 gen     67.72
agieval                       -          -                             -       -
GaokaoBench                   -          weighted_average              gen     62.28
GPQA_extended                 -          -                             -       -
GPQA_main                     -          -                             -       -
GPQA_diamond                  -          -                             -       -
ARC-c                         -          -                             -       -
truthfulqa                    -          -                             -       -
triviaqa                      2121ce     score                         gen     61.77
triviaqa_wiki_1shot           -          -                             -       -
nq                            3dcea1     score                         gen     28.75
C3                            8c358f     accuracy                      gen     93.15
race-high                     9a54b6     accuracy                      gen     86.48
flores_100                    -          -                             -       -
winogrande                    b36770     accuracy                      gen     79.87
hellaswag                     e42710     accuracy                      gen     87.47
bbh                           -          naive_average                 gen     69.83
gsm8k                         1d7fe4     accuracy                      gen     79.98
math                          393424     accuracy                      gen     35.54
TheoremQA                     6f0af8     score                         gen     15.25
MathBench                     -          -                             -       -
openai_humaneval              8e312c     humaneval_pass@1              gen     67.07
humaneval_plus                -          -                             -       -
humanevalx                    -          -                             -       -
sanitized_mbpp                a447ff     score                         gen     66.15
mbpp_plus                     -          -                             -       -
mbpp_cn                       6fb572     score                         gen     54.20
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     48.80
IFEval                        3321a3     Inst-level-strict-accuracy    gen     59.11
IFEval                        3321a3     Prompt-level-loose-accuracy   gen     52.68
IFEval                        3321a3     Inst-level-loose-accuracy     gen     62.83
12/05 02:59:08 - OpenCompass - INFO - write summary to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B/20241205_023919/summary/summary_20241205_023919.txt
12/05 02:59:08 - OpenCompass - INFO - write csv to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-26B/20241205_023919/summary/summary_20241205_023919.csv