eval_llm_benchmark.log

/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32
model path is /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B
12/05 03:39:44 - OpenCompass - WARNING - No previous results to reuse!
12/05 03:39:44 - OpenCompass - INFO - Reusing experiements from 20241205_033944
12/05 03:39:44 - OpenCompass - INFO - Current exp folder: /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B/20241205_033944
12/05 03:39:48 - OpenCompass - INFO - Partitioned into 256 tasks.
[                                                  ] 0/256, elapsed: 0s, ETA:use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26604 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99913_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13280 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100181_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24526 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100186_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14432 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100185_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30532 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100173_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24834 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99968_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25967 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100187_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24407 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100182_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26493 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99942_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21062 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99920_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31494 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100177_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27535 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99966_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16310 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100171_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21774 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99898_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12469 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100166_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14638 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99929_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16693 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99888_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27499 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99952_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16708 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100060_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27588 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99988_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25288 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99889_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31890 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100174_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26297 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100180_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16397 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100157_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12164 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100168_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26540 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100176_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29112 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100179_params.py
command torchrun --master_port=23949 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99887_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18811 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99994_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13418 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100169_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/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
 False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29222 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100032_params.py
command torchrun --master_port=18950 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99947_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21842 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100162_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30688 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99870_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17817 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100149_params.py
use_backenduse_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16554 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100139_params.py
 False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18486 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99855_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18748 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100178_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28115 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100184_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15313 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100158_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28444 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100151_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29823 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99914_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28431 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99932_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30982 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99863_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22312 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99901_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26987 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100175_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19899 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99983_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19490 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100167_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23066 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100133_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30647 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100135_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13344 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99979_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20192 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99893_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19336 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100160_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', '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/100132_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14349 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100122_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22606 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100141_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31476 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99916_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12584 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99921_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17514 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100142_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22902 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100170_params.py
command torchrun --master_port=17978 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100172_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17883 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99948_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25101 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99909_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12829 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100119_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14215 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100153_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24184 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99939_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24341 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100147_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12512 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99970_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26047 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100134_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12077 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99874_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14692 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100188_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27755 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100116_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29389 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99877_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18251 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100127_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30001 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99895_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29486 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99886_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24196 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100138_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17277 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99982_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30313 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100155_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25681 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100164_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20526 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99977_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14619 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100111_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26666 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100144_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20493 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99866_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28853 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99962_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22252 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100101_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24525 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100108_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23600 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100114_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15879 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100159_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12811 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100107_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17538 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100125_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22218 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100183_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26764 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100150_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28394 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100120_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15424 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100078_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19811 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100148_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30170 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99987_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19203 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99900_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12951 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99928_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29541 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99910_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21271 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99926_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23626 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99919_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17356 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99931_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16269 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100140_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24375 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100115_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20257 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99915_params.py
use_backend False use_backend False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} 
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15094 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99985_params.py
command torchrun --master_port=15353 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100082_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17610 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99878_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13371 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99986_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29090 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100123_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21099 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99892_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29294 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100145_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21659 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100165_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16912 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100152_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99865_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16231 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100124_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12932 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100083_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14734 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99958_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31341 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100073_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14328 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99876_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20416 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100113_params.py
use_backend False use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command commandtorchrun --master_port=17135 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99879_params.py 
torchrun --master_port=18677 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99924_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12094 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99912_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19355 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100112_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15928 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100104_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12862 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100106_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', '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/99864_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13000 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100090_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28745 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100063_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25264 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100126_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16067 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100146_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27299 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100096_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16906 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100156_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', '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/100110_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26611 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99961_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16376 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99963_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27537 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100088_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21108 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99941_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17468 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100102_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20674 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99957_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', '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/100163_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15347 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100077_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24037 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100131_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12977 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100072_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13057 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100109_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13267 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99959_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99972_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25976 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100079_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27184 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99944_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31203 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100089_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27583 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99976_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30842 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100118_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25586 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100121_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19830 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100161_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31081 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100095_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29153 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100075_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23362 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100081_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29435 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99953_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12824 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100093_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18395 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99884_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99881_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20392 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99896_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19381 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99984_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16250 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100080_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20045 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100098_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12230 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99908_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100117_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30647 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99872_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19046 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99989_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19156 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100062_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28238 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99956_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/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16891 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100094_params.py
command torchrun --master_port=15867 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99930_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31662 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100128_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28884 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100071_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30497 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100092_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17261 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99954_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25699 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100129_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30047 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99981_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13601 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100066_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command torchrun --master_port=26219 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100130_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', '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/100154_params.py
command torchrun --master_port=12233 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99894_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/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22309 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100084_params.py
command torchrun --master_port=23255 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100074_params.py
command torchrun --master_port=12847 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100086_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22258 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99868_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', '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/99967_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29005 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100076_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23792 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100091_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16578 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99885_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17748 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99991_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30847 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100068_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24524 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99990_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22131 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100085_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15395 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99995_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12427 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100100_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15801 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100099_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31270 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99940_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29268 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99978_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16793 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100065_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17810 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99993_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15272 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99992_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13425 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99936_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19139 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100069_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26643 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99973_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27017 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100097_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20868 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100103_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25388 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99883_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99975_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31817 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99911_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13689 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99933_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26617 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100070_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22327 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99918_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12446 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99938_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28013 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99969_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13858 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99974_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25635 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99923_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17105 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99880_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31600 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99927_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27439 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100105_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24107 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99859_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28968 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99903_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15510 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100064_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18400 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99945_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27945 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99875_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31191 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99899_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28700 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99971_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22613 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99907_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30183 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100087_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14671 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99935_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25091 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99922_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22640 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99917_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22182 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99960_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17209 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99867_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13371 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99858_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27849 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99856_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23151 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99897_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22044 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99965_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28553 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99950_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12281 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99980_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16734 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99860_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31318 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99861_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16303 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99882_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13460 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99873_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26241 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99869_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23737 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99857_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28106 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99906_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29863 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99854_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29951 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99853_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16872 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99902_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30472 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99964_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25834 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99871_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17323 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99949_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30716 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/100187_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16512 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99888_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22260 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99966_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26044 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/99898_params.py

[                               ] 1/256, 0.0 task/s, elapsed: 205s, ETA: 52230s
[                               ] 2/256, 0.0 task/s, elapsed: 209s, ETA: 26539s
[                               ] 3/256, 0.0 task/s, elapsed: 219s, ETA: 18510s
[                               ] 4/256, 0.0 task/s, elapsed: 223s, ETA: 14078s
[                               ] 5/256, 0.0 task/s, elapsed: 225s, ETA: 11290s
[                               ] 6/256, 0.0 task/s, elapsed: 226s, ETA:  9431s
[                               ] 7/256, 0.0 task/s, elapsed: 231s, ETA:  8229s
[                               ] 8/256, 0.0 task/s, elapsed: 235s, ETA:  7277s
[>                              ] 9/256, 0.0 task/s, elapsed: 237s, ETA:  6506s
[>                             ] 10/256, 0.0 task/s, elapsed: 240s, ETA:  5909s
[>                             ] 11/256, 0.0 task/s, elapsed: 241s, ETA:  5366s
[>                             ] 12/256, 0.0 task/s, elapsed: 242s, ETA:  4913s
[>                             ] 13/256, 0.1 task/s, elapsed: 244s, ETA:  4569s
[>                             ] 14/256, 0.1 task/s, elapsed: 246s, ETA:  4259s
[>                             ] 15/256, 0.1 task/s, elapsed: 250s, ETA:  4013s
[>                             ] 16/256, 0.1 task/s, elapsed: 251s, ETA:  3760s
[>                             ] 17/256, 0.1 task/s, elapsed: 251s, ETA:  3534s
[>>                            ] 18/256, 0.1 task/s, elapsed: 254s, ETA:  3364s
[>>                            ] 19/256, 0.1 task/s, elapsed: 256s, ETA:  3199s
[>>                            ] 20/256, 0.1 task/s, elapsed: 259s, ETA:  3056s
[>>                            ] 21/256, 0.1 task/s, elapsed: 261s, ETA:  2917s
[>>                            ] 22/256, 0.1 task/s, elapsed: 264s, ETA:  2804s
[>>                            ] 23/256, 0.1 task/s, elapsed: 264s, ETA:  2676s
[>>                            ] 24/256, 0.1 task/s, elapsed: 264s, ETA:  2554s
[>>                            ] 25/256, 0.1 task/s, elapsed: 266s, ETA:  2461s
[>>>                           ] 26/256, 0.1 task/s, elapsed: 271s, ETA:  2393s
[>>>                           ] 27/256, 0.1 task/s, elapsed: 276s, ETA:  2337s
[>>>                           ] 28/256, 0.1 task/s, elapsed: 279s, ETA:  2273s
[>>>                           ] 29/256, 0.1 task/s, elapsed: 281s, ETA:  2203s
[>>>                           ] 30/256, 0.1 task/s, elapsed: 282s, ETA:  2123s
[>>>                           ] 31/256, 0.1 task/s, elapsed: 282s, ETA:  2049s
[>>>                           ] 32/256, 0.1 task/s, elapsed: 283s, ETA:  1978s
[>>>                           ] 33/256, 0.1 task/s, elapsed: 284s, ETA:  1916s
[>>>                           ] 34/256, 0.1 task/s, elapsed: 284s, ETA:  1856s
[>>>>                          ] 35/256, 0.1 task/s, elapsed: 286s, ETA:  1806s
[>>>>                          ] 36/256, 0.1 task/s, elapsed: 288s, ETA:  1758s
[>>>>                          ] 37/256, 0.1 task/s, elapsed: 288s, ETA:  1706s
[>>>>                          ] 38/256, 0.1 task/s, elapsed: 290s, ETA:  1666s
[>>>>                          ] 39/256, 0.1 task/s, elapsed: 292s, ETA:  1623s
[>>>>                          ] 40/256, 0.1 task/s, elapsed: 292s, ETA:  1578s
[>>>>                          ] 41/256, 0.1 task/s, elapsed: 292s, ETA:  1532s
[>>>>                          ] 42/256, 0.1 task/s, elapsed: 294s, ETA:  1497s
[>>>>>                         ] 43/256, 0.1 task/s, elapsed: 294s, ETA:  1456s
[>>>>>                         ] 44/256, 0.1 task/s, elapsed: 295s, ETA:  1421s
[>>>>>                         ] 45/256, 0.2 task/s, elapsed: 296s, ETA:  1386s
[>>>>>                         ] 46/256, 0.2 task/s, elapsed: 296s, ETA:  1353s
[>>>>>                         ] 47/256, 0.2 task/s, elapsed: 296s, ETA:  1318s
[>>>>>                         ] 48/256, 0.2 task/s, elapsed: 297s, ETA:  1285s
[>>>>>                         ] 49/256, 0.2 task/s, elapsed: 298s, ETA:  1259s
[>>>>>                         ] 50/256, 0.2 task/s, elapsed: 299s, ETA:  1230s
[>>>>>                         ] 51/256, 0.2 task/s, elapsed: 299s, ETA:  1202s
[>>>>>>                        ] 52/256, 0.2 task/s, elapsed: 299s, ETA:  1173s
[>>>>>>                        ] 53/256, 0.2 task/s, elapsed: 300s, ETA:  1150s
[>>>>>>                        ] 54/256, 0.2 task/s, elapsed: 301s, ETA:  1127s
[>>>>>>                        ] 55/256, 0.2 task/s, elapsed: 302s, ETA:  1103s
[>>>>>>                        ] 56/256, 0.2 task/s, elapsed: 303s, ETA:  1083s
[>>>>>>                        ] 57/256, 0.2 task/s, elapsed: 304s, ETA:  1060s
[>>>>>>                        ] 58/256, 0.2 task/s, elapsed: 304s, ETA:  1037s
[>>>>>>                        ] 59/256, 0.2 task/s, elapsed: 304s, ETA:  1014s
[>>>>>>>                       ] 60/256, 0.2 task/s, elapsed: 304s, ETA:   994s
[>>>>>>>                       ] 61/256, 0.2 task/s, elapsed: 305s, ETA:   976s
[>>>>>>>                       ] 62/256, 0.2 task/s, elapsed: 305s, ETA:   955s
[>>>>>>>                       ] 63/256, 0.2 task/s, elapsed: 306s, ETA:   939s
[>>>>>>>                       ] 64/256, 0.2 task/s, elapsed: 309s, ETA:   927s
[>>>>>>>                       ] 65/256, 0.2 task/s, elapsed: 311s, ETA:   915s
[>>>>>>>                       ] 66/256, 0.2 task/s, elapsed: 312s, ETA:   897s
[>>>>>>>                       ] 67/256, 0.2 task/s, elapsed: 312s, ETA:   880s
[>>>>>>>                       ] 68/256, 0.2 task/s, elapsed: 315s, ETA:   870s
[>>>>>>>>                      ] 69/256, 0.2 task/s, elapsed: 315s, ETA:   853s
[>>>>>>>>                      ] 70/256, 0.2 task/s, elapsed: 315s, ETA:   837s
[>>>>>>>>                      ] 71/256, 0.2 task/s, elapsed: 315s, ETA:   821s
[>>>>>>>>                      ] 72/256, 0.2 task/s, elapsed: 316s, ETA:   806s
[>>>>>>>>                      ] 73/256, 0.2 task/s, elapsed: 317s, ETA:   795s
[>>>>>>>>                      ] 74/256, 0.2 task/s, elapsed: 318s, ETA:   782s
[>>>>>>>>                      ] 75/256, 0.2 task/s, elapsed: 319s, ETA:   770s
[>>>>>>>>                      ] 76/256, 0.2 task/s, elapsed: 319s, ETA:   757s
[>>>>>>>>>                     ] 77/256, 0.2 task/s, elapsed: 320s, ETA:   743s
[>>>>>>>>>                     ] 78/256, 0.2 task/s, elapsed: 320s, ETA:   730s
[>>>>>>>>>                     ] 79/256, 0.2 task/s, elapsed: 322s, ETA:   721s
[>>>>>>>>>                     ] 80/256, 0.2 task/s, elapsed: 323s, ETA:   711s
[>>>>>>>>>                     ] 81/256, 0.3 task/s, elapsed: 324s, ETA:   699s
[>>>>>>>>>                     ] 82/256, 0.3 task/s, elapsed: 324s, ETA:   688s
[>>>>>>>>>                     ] 83/256, 0.3 task/s, elapsed: 324s, ETA:   675s
[>>>>>>>>>                     ] 84/256, 0.3 task/s, elapsed: 326s, ETA:   667s
[>>>>>>>>>                     ] 85/256, 0.3 task/s, elapsed: 326s, ETA:   657s
[>>>>>>>>>>                    ] 86/256, 0.3 task/s, elapsed: 330s, ETA:   651s
[>>>>>>>>>>                    ] 87/256, 0.3 task/s, elapsed: 330s, ETA:   640s
[>>>>>>>>>>                    ] 88/256, 0.3 task/s, elapsed: 330s, ETA:   630s
[>>>>>>>>>>                    ] 89/256, 0.3 task/s, elapsed: 331s, ETA:   622s
[>>>>>>>>>>                    ] 90/256, 0.3 task/s, elapsed: 332s, ETA:   612s
[>>>>>>>>>>                    ] 91/256, 0.3 task/s, elapsed: 333s, ETA:   604s
[>>>>>>>>>>                    ] 92/256, 0.3 task/s, elapsed: 334s, ETA:   595s
[>>>>>>>>>>                    ] 93/256, 0.3 task/s, elapsed: 335s, ETA:   586s
[>>>>>>>>>>>                   ] 94/256, 0.3 task/s, elapsed: 335s, ETA:   578s
[>>>>>>>>>>>                   ] 95/256, 0.3 task/s, elapsed: 338s, ETA:   573s
[>>>>>>>>>>>                   ] 96/256, 0.3 task/s, elapsed: 339s, ETA:   565s
[>>>>>>>>>>>                   ] 97/256, 0.3 task/s, elapsed: 340s, ETA:   557s
[>>>>>>>>>>>                   ] 98/256, 0.3 task/s, elapsed: 340s, ETA:   548s
[>>>>>>>>>>>                   ] 99/256, 0.3 task/s, elapsed: 341s, ETA:   540s
[>>>>>>>>>>>                  ] 100/256, 0.3 task/s, elapsed: 343s, ETA:   535s
[>>>>>>>>>>>                  ] 101/256, 0.3 task/s, elapsed: 343s, ETA:   527s
[>>>>>>>>>>>                  ] 102/256, 0.3 task/s, elapsed: 344s, ETA:   519s
[>>>>>>>>>>>                  ] 103/256, 0.3 task/s, elapsed: 345s, ETA:   512s
[>>>>>>>>>>>                  ] 104/256, 0.3 task/s, elapsed: 345s, ETA:   505s
[>>>>>>>>>>>                  ] 105/256, 0.3 task/s, elapsed: 346s, ETA:   498s
[>>>>>>>>>>>>                 ] 106/256, 0.3 task/s, elapsed: 347s, ETA:   491s
[>>>>>>>>>>>>                 ] 107/256, 0.3 task/s, elapsed: 348s, ETA:   485s
[>>>>>>>>>>>>                 ] 108/256, 0.3 task/s, elapsed: 349s, ETA:   478s
[>>>>>>>>>>>>                 ] 109/256, 0.3 task/s, elapsed: 350s, ETA:   471s
[>>>>>>>>>>>>                 ] 110/256, 0.3 task/s, elapsed: 350s, ETA:   464s
[>>>>>>>>>>>>                 ] 111/256, 0.3 task/s, elapsed: 350s, ETA:   457s
[>>>>>>>>>>>>                 ] 112/256, 0.3 task/s, elapsed: 351s, ETA:   452s
[>>>>>>>>>>>>                 ] 113/256, 0.3 task/s, elapsed: 352s, ETA:   445s
[>>>>>>>>>>>>                 ] 114/256, 0.3 task/s, elapsed: 354s, ETA:   441s
[>>>>>>>>>>>>>                ] 115/256, 0.3 task/s, elapsed: 354s, ETA:   434s
[>>>>>>>>>>>>>                ] 116/256, 0.3 task/s, elapsed: 354s, ETA:   427s
[>>>>>>>>>>>>>                ] 117/256, 0.3 task/s, elapsed: 355s, ETA:   422s
[>>>>>>>>>>>>>                ] 118/256, 0.3 task/s, elapsed: 355s, ETA:   416s
[>>>>>>>>>>>>>                ] 119/256, 0.3 task/s, elapsed: 356s, ETA:   410s
[>>>>>>>>>>>>>                ] 120/256, 0.3 task/s, elapsed: 357s, ETA:   405s
[>>>>>>>>>>>>>                ] 121/256, 0.3 task/s, elapsed: 358s, ETA:   399s
[>>>>>>>>>>>>>                ] 122/256, 0.3 task/s, elapsed: 358s, ETA:   393s
[>>>>>>>>>>>>>                ] 123/256, 0.3 task/s, elapsed: 359s, ETA:   388s
[>>>>>>>>>>>>>>               ] 124/256, 0.3 task/s, elapsed: 360s, ETA:   384s
[>>>>>>>>>>>>>>               ] 125/256, 0.3 task/s, elapsed: 361s, ETA:   378s
[>>>>>>>>>>>>>>               ] 126/256, 0.3 task/s, elapsed: 361s, ETA:   372s
[>>>>>>>>>>>>>>               ] 127/256, 0.4 task/s, elapsed: 362s, ETA:   367s
[>>>>>>>>>>>>>>               ] 128/256, 0.4 task/s, elapsed: 362s, ETA:   362s
[>>>>>>>>>>>>>>               ] 129/256, 0.4 task/s, elapsed: 365s, ETA:   359s
[>>>>>>>>>>>>>>               ] 130/256, 0.4 task/s, elapsed: 366s, ETA:   355s
[>>>>>>>>>>>>>>               ] 131/256, 0.4 task/s, elapsed: 367s, ETA:   350s
[>>>>>>>>>>>>>>               ] 132/256, 0.4 task/s, elapsed: 367s, ETA:   345s
[>>>>>>>>>>>>>>>              ] 133/256, 0.4 task/s, elapsed: 367s, ETA:   339s
[>>>>>>>>>>>>>>>              ] 134/256, 0.4 task/s, elapsed: 367s, ETA:   334s
[>>>>>>>>>>>>>>>              ] 135/256, 0.4 task/s, elapsed: 368s, ETA:   330s
[>>>>>>>>>>>>>>>              ] 136/256, 0.4 task/s, elapsed: 369s, ETA:   326s
[>>>>>>>>>>>>>>>              ] 137/256, 0.4 task/s, elapsed: 369s, ETA:   321s
[>>>>>>>>>>>>>>>              ] 138/256, 0.4 task/s, elapsed: 369s, ETA:   316s
[>>>>>>>>>>>>>>>              ] 139/256, 0.4 task/s, elapsed: 370s, ETA:   311s
[>>>>>>>>>>>>>>>              ] 140/256, 0.4 task/s, elapsed: 371s, ETA:   307s
[>>>>>>>>>>>>>>>              ] 141/256, 0.4 task/s, elapsed: 372s, ETA:   303s
[>>>>>>>>>>>>>>>>             ] 142/256, 0.4 task/s, elapsed: 373s, ETA:   300s
[>>>>>>>>>>>>>>>>             ] 143/256, 0.4 task/s, elapsed: 373s, ETA:   295s
[>>>>>>>>>>>>>>>>             ] 144/256, 0.4 task/s, elapsed: 375s, ETA:   292s
[>>>>>>>>>>>>>>>>             ] 145/256, 0.4 task/s, elapsed: 375s, ETA:   287s
[>>>>>>>>>>>>>>>>             ] 146/256, 0.4 task/s, elapsed: 376s, ETA:   284s
[>>>>>>>>>>>>>>>>             ] 147/256, 0.4 task/s, elapsed: 377s, ETA:   279s
[>>>>>>>>>>>>>>>>             ] 148/256, 0.4 task/s, elapsed: 377s, ETA:   275s
[>>>>>>>>>>>>>>>>             ] 149/256, 0.4 task/s, elapsed: 377s, ETA:   270s
[>>>>>>>>>>>>>>>>             ] 150/256, 0.4 task/s, elapsed: 377s, ETA:   266s
[>>>>>>>>>>>>>>>>>            ] 151/256, 0.4 task/s, elapsed: 378s, ETA:   263s
[>>>>>>>>>>>>>>>>>            ] 152/256, 0.4 task/s, elapsed: 378s, ETA:   259s
[>>>>>>>>>>>>>>>>>            ] 153/256, 0.4 task/s, elapsed: 378s, ETA:   255s
[>>>>>>>>>>>>>>>>>            ] 154/256, 0.4 task/s, elapsed: 378s, ETA:   251s
[>>>>>>>>>>>>>>>>>            ] 155/256, 0.4 task/s, elapsed: 379s, ETA:   247s
[>>>>>>>>>>>>>>>>>            ] 156/256, 0.4 task/s, elapsed: 379s, ETA:   243s
[>>>>>>>>>>>>>>>>>            ] 157/256, 0.4 task/s, elapsed: 380s, ETA:   239s
[>>>>>>>>>>>>>>>>>            ] 158/256, 0.4 task/s, elapsed: 380s, ETA:   236s
[>>>>>>>>>>>>>>>>>>           ] 159/256, 0.4 task/s, elapsed: 380s, ETA:   232s
[>>>>>>>>>>>>>>>>>>           ] 160/256, 0.4 task/s, elapsed: 380s, ETA:   228s
[>>>>>>>>>>>>>>>>>>           ] 161/256, 0.4 task/s, elapsed: 380s, ETA:   224s
[>>>>>>>>>>>>>>>>>>           ] 162/256, 0.4 task/s, elapsed: 380s, ETA:   221s
[>>>>>>>>>>>>>>>>>>           ] 163/256, 0.4 task/s, elapsed: 380s, ETA:   217s
[>>>>>>>>>>>>>>>>>>           ] 164/256, 0.4 task/s, elapsed: 381s, ETA:   214s
[>>>>>>>>>>>>>>>>>>           ] 165/256, 0.4 task/s, elapsed: 384s, ETA:   212s
[>>>>>>>>>>>>>>>>>>           ] 166/256, 0.4 task/s, elapsed: 385s, ETA:   209s
[>>>>>>>>>>>>>>>>>>           ] 167/256, 0.4 task/s, elapsed: 385s, ETA:   205s
[>>>>>>>>>>>>>>>>>>>          ] 168/256, 0.4 task/s, elapsed: 385s, ETA:   202s
[>>>>>>>>>>>>>>>>>>>          ] 169/256, 0.4 task/s, elapsed: 386s, ETA:   199s
[>>>>>>>>>>>>>>>>>>>          ] 170/256, 0.4 task/s, elapsed: 386s, ETA:   195s
[>>>>>>>>>>>>>>>>>>>          ] 171/256, 0.4 task/s, elapsed: 388s, ETA:   193s
[>>>>>>>>>>>>>>>>>>>          ] 172/256, 0.4 task/s, elapsed: 388s, ETA:   190s
[>>>>>>>>>>>>>>>>>>>          ] 173/256, 0.4 task/s, elapsed: 389s, ETA:   187s
[>>>>>>>>>>>>>>>>>>>          ] 174/256, 0.4 task/s, elapsed: 390s, ETA:   184s
[>>>>>>>>>>>>>>>>>>>          ] 175/256, 0.4 task/s, elapsed: 390s, ETA:   181s
[>>>>>>>>>>>>>>>>>>>          ] 176/256, 0.5 task/s, elapsed: 391s, ETA:   178s
[>>>>>>>>>>>>>>>>>>>>         ] 177/256, 0.5 task/s, elapsed: 391s, ETA:   175s
[>>>>>>>>>>>>>>>>>>>>         ] 178/256, 0.5 task/s, elapsed: 391s, ETA:   172s
[>>>>>>>>>>>>>>>>>>>>         ] 179/256, 0.5 task/s, elapsed: 392s, ETA:   169s
[>>>>>>>>>>>>>>>>>>>>         ] 180/256, 0.5 task/s, elapsed: 393s, ETA:   166s
[>>>>>>>>>>>>>>>>>>>>         ] 181/256, 0.5 task/s, elapsed: 394s, ETA:   163s
[>>>>>>>>>>>>>>>>>>>>         ] 182/256, 0.5 task/s, elapsed: 395s, ETA:   160s
[>>>>>>>>>>>>>>>>>>>>         ] 183/256, 0.5 task/s, elapsed: 396s, ETA:   158s
[>>>>>>>>>>>>>>>>>>>>         ] 184/256, 0.5 task/s, elapsed: 396s, ETA:   155s
[>>>>>>>>>>>>>>>>>>>>         ] 185/256, 0.5 task/s, elapsed: 397s, ETA:   152s
[>>>>>>>>>>>>>>>>>>>>>        ] 186/256, 0.5 task/s, elapsed: 397s, ETA:   149s
[>>>>>>>>>>>>>>>>>>>>>        ] 187/256, 0.5 task/s, elapsed: 397s, ETA:   147s
[>>>>>>>>>>>>>>>>>>>>>        ] 188/256, 0.5 task/s, elapsed: 398s, ETA:   144s
[>>>>>>>>>>>>>>>>>>>>>        ] 189/256, 0.5 task/s, elapsed: 399s, ETA:   141s
[>>>>>>>>>>>>>>>>>>>>>        ] 190/256, 0.5 task/s, elapsed: 400s, ETA:   139s
[>>>>>>>>>>>>>>>>>>>>>        ] 191/256, 0.5 task/s, elapsed: 400s, ETA:   136s
[>>>>>>>>>>>>>>>>>>>>>        ] 192/256, 0.5 task/s, elapsed: 401s, ETA:   134s
[>>>>>>>>>>>>>>>>>>>>>        ] 193/256, 0.5 task/s, elapsed: 401s, ETA:   131s
[>>>>>>>>>>>>>>>>>>>>>        ] 194/256, 0.5 task/s, elapsed: 402s, ETA:   128s
[>>>>>>>>>>>>>>>>>>>>>>       ] 195/256, 0.5 task/s, elapsed: 402s, ETA:   126s
[>>>>>>>>>>>>>>>>>>>>>>       ] 196/256, 0.5 task/s, elapsed: 403s, ETA:   123s
[>>>>>>>>>>>>>>>>>>>>>>       ] 197/256, 0.5 task/s, elapsed: 403s, ETA:   121s
[>>>>>>>>>>>>>>>>>>>>>>       ] 198/256, 0.5 task/s, elapsed: 403s, ETA:   118s
[>>>>>>>>>>>>>>>>>>>>>>       ] 199/256, 0.5 task/s, elapsed: 404s, ETA:   116s
[>>>>>>>>>>>>>>>>>>>>>>       ] 200/256, 0.5 task/s, elapsed: 405s, ETA:   113s
[>>>>>>>>>>>>>>>>>>>>>>       ] 201/256, 0.5 task/s, elapsed: 407s, ETA:   111s
[>>>>>>>>>>>>>>>>>>>>>>       ] 202/256, 0.5 task/s, elapsed: 407s, ETA:   109s
[>>>>>>>>>>>>>>>>>>>>>>       ] 203/256, 0.5 task/s, elapsed: 408s, ETA:   107s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 204/256, 0.5 task/s, elapsed: 408s, ETA:   104s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 205/256, 0.5 task/s, elapsed: 408s, ETA:   102s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 206/256, 0.5 task/s, elapsed: 410s, ETA:    99s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 207/256, 0.5 task/s, elapsed: 410s, ETA:    97s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 208/256, 0.5 task/s, elapsed: 410s, ETA:    95s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 209/256, 0.5 task/s, elapsed: 410s, ETA:    92s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 210/256, 0.5 task/s, elapsed: 411s, ETA:    90s
[>>>>>>>>>>>>>>>>>>>>>>>      ] 211/256, 0.5 task/s, elapsed: 412s, ETA:    88s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 212/256, 0.5 task/s, elapsed: 413s, ETA:    86s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 213/256, 0.5 task/s, elapsed: 413s, ETA:    83s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 214/256, 0.5 task/s, elapsed: 415s, ETA:    81s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 215/256, 0.5 task/s, elapsed: 415s, ETA:    79s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 216/256, 0.5 task/s, elapsed: 415s, ETA:    77s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 217/256, 0.5 task/s, elapsed: 417s, ETA:    75s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 218/256, 0.5 task/s, elapsed: 417s, ETA:    73s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 219/256, 0.5 task/s, elapsed: 417s, ETA:    71s
[>>>>>>>>>>>>>>>>>>>>>>>>     ] 220/256, 0.5 task/s, elapsed: 419s, ETA:    69s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 221/256, 0.5 task/s, elapsed: 420s, ETA:    66s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 222/256, 0.5 task/s, elapsed: 420s, ETA:    64s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 223/256, 0.5 task/s, elapsed: 422s, ETA:    62s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 224/256, 0.5 task/s, elapsed: 423s, ETA:    60s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 225/256, 0.5 task/s, elapsed: 425s, ETA:    58s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 226/256, 0.5 task/s, elapsed: 425s, ETA:    56s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 227/256, 0.5 task/s, elapsed: 428s, ETA:    55s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 228/256, 0.5 task/s, elapsed: 428s, ETA:    53s
[>>>>>>>>>>>>>>>>>>>>>>>>>    ] 229/256, 0.5 task/s, elapsed: 428s, ETA:    51s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 230/256, 0.5 task/s, elapsed: 429s, ETA:    48s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 231/256, 0.5 task/s, elapsed: 431s, ETA:    47s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 232/256, 0.5 task/s, elapsed: 431s, ETA:    45s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 233/256, 0.5 task/s, elapsed: 431s, ETA:    43s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 234/256, 0.5 task/s, elapsed: 431s, ETA:    41s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 235/256, 0.5 task/s, elapsed: 431s, ETA:    39s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 236/256, 0.5 task/s, elapsed: 433s, ETA:    37s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 237/256, 0.5 task/s, elapsed: 437s, ETA:    35s
[>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 238/256, 0.5 task/s, elapsed: 438s, ETA:    33s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 239/256, 0.5 task/s, elapsed: 442s, ETA:    31s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 240/256, 0.5 task/s, elapsed: 443s, ETA:    30s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 241/256, 0.5 task/s, elapsed: 444s, ETA:    28s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 242/256, 0.5 task/s, elapsed: 444s, ETA:    26s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 243/256, 0.5 task/s, elapsed: 446s, ETA:    24s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 244/256, 0.5 task/s, elapsed: 448s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 245/256, 0.5 task/s, elapsed: 452s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 246/256, 0.5 task/s, elapsed: 454s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 247/256, 0.5 task/s, elapsed: 455s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 248/256, 0.5 task/s, elapsed: 457s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 249/256, 0.5 task/s, elapsed: 463s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 250/256, 0.5 task/s, elapsed: 467s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 251/256, 0.5 task/s, elapsed: 468s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 252/256, 0.5 task/s, elapsed: 483s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 253/256, 0.5 task/s, elapsed: 484s, ETA:     6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/256, 0.5 task/s, elapsed: 487s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/256, 0.5 task/s, elapsed: 504s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 256/256, 0.5 task/s, elapsed: 519s, ETA:     0s
12/05 03:48:35 - OpenCompass - INFO - Partitioned into 287 tasks.
[                                                  ] 0/287, elapsed: 0s, ETA:
[                                ] 1/287, 0.1 task/s, elapsed: 18s, ETA:  5192s
[                                ] 2/287, 0.1 task/s, elapsed: 21s, ETA:  3005s
[                                ] 3/287, 0.1 task/s, elapsed: 21s, ETA:  2001s
[                                ] 4/287, 0.2 task/s, elapsed: 21s, ETA:  1496s
[                                ] 5/287, 0.2 task/s, elapsed: 21s, ETA:  1201s
[                                ] 6/287, 0.3 task/s, elapsed: 22s, ETA:  1009s
[                                ] 7/287, 0.3 task/s, elapsed: 25s, ETA:  1001s
[                                ] 8/287, 0.3 task/s, elapsed: 25s, ETA:   879s
[>                               ] 9/287, 0.4 task/s, elapsed: 25s, ETA:   780s
[>                              ] 10/287, 0.4 task/s, elapsed: 25s, ETA:   700s
[>                              ] 11/287, 0.4 task/s, elapsed: 25s, ETA:   634s
[>                              ] 12/287, 0.5 task/s, elapsed: 25s, ETA:   580s
[>                              ] 13/287, 0.5 task/s, elapsed: 25s, ETA:   534s
[>                              ] 14/287, 0.6 task/s, elapsed: 25s, ETA:   494s
[>                              ] 15/287, 0.6 task/s, elapsed: 25s, ETA:   460s
[>                              ] 16/287, 0.6 task/s, elapsed: 25s, ETA:   429s
[>                              ] 17/287, 0.7 task/s, elapsed: 25s, ETA:   403s
[>                              ] 18/287, 0.7 task/s, elapsed: 25s, ETA:   379s
[>>                             ] 19/287, 0.7 task/s, elapsed: 25s, ETA:   358s
[>>                             ] 20/287, 0.8 task/s, elapsed: 25s, ETA:   339s
[>>                             ] 21/287, 0.8 task/s, elapsed: 25s, ETA:   322s
[>>                             ] 22/287, 0.9 task/s, elapsed: 25s, ETA:   306s
[>>                             ] 23/287, 0.9 task/s, elapsed: 26s, ETA:   293s
[>>                             ] 24/287, 0.9 task/s, elapsed: 26s, ETA:   280s
[>>                             ] 25/287, 0.8 task/s, elapsed: 30s, ETA:   319s
[>>                             ] 26/287, 0.9 task/s, elapsed: 30s, ETA:   306s
[>>                             ] 27/287, 0.9 task/s, elapsed: 31s, ETA:   294s
[>>>                            ] 28/287, 0.9 task/s, elapsed: 31s, ETA:   283s
[>>>                            ] 29/287, 0.9 task/s, elapsed: 31s, ETA:   272s
[>>>                            ] 30/287, 1.0 task/s, elapsed: 31s, ETA:   262s
[>>>                            ] 31/287, 1.0 task/s, elapsed: 31s, ETA:   253s
[>>>                            ] 32/287, 1.0 task/s, elapsed: 31s, ETA:   244s
[>>>                            ] 33/287, 1.1 task/s, elapsed: 31s, ETA:   236s
[>>>                            ] 34/287, 1.1 task/s, elapsed: 31s, ETA:   228s
[>>>                            ] 35/287, 1.1 task/s, elapsed: 31s, ETA:   221s
[>>>                            ] 36/287, 1.2 task/s, elapsed: 31s, ETA:   214s
[>>>                            ] 37/287, 1.2 task/s, elapsed: 31s, ETA:   207s
[>>>>                           ] 38/287, 1.2 task/s, elapsed: 31s, ETA:   201s
[>>>>                           ] 39/287, 1.3 task/s, elapsed: 31s, ETA:   195s
[>>>>                           ] 40/287, 1.3 task/s, elapsed: 31s, ETA:   190s
[>>>>                           ] 41/287, 1.3 task/s, elapsed: 31s, ETA:   184s
[>>>>                           ] 42/287, 1.4 task/s, elapsed: 31s, ETA:   179s
[>>>>                           ] 43/287, 1.4 task/s, elapsed: 31s, ETA:   174s
[>>>>                           ] 44/287, 1.4 task/s, elapsed: 31s, ETA:   170s
[>>>>                           ] 45/287, 1.5 task/s, elapsed: 31s, ETA:   166s
[>>>>                           ] 46/287, 1.5 task/s, elapsed: 31s, ETA:   161s
[>>>>>                          ] 47/287, 1.5 task/s, elapsed: 31s, ETA:   158s
[>>>>>                          ] 48/287, 1.6 task/s, elapsed: 31s, ETA:   154s
[>>>>>                          ] 49/287, 1.6 task/s, elapsed: 31s, ETA:   152s
[>>>>>                          ] 50/287, 1.6 task/s, elapsed: 31s, ETA:   149s
[>>>>>                          ] 51/287, 1.6 task/s, elapsed: 32s, ETA:   146s
[>>>>>                          ] 52/287, 1.6 task/s, elapsed: 32s, ETA:   143s
[>>>>>                          ] 53/287, 1.7 task/s, elapsed: 32s, ETA:   140s
[>>>>>                          ] 54/287, 1.7 task/s, elapsed: 32s, ETA:   137s
[>>>>>                          ] 55/287, 1.7 task/s, elapsed: 32s, ETA:   134s
[>>>>>>                         ] 56/287, 1.8 task/s, elapsed: 32s, ETA:   131s
[>>>>>>                         ] 57/287, 1.8 task/s, elapsed: 32s, ETA:   129s
[>>>>>>                         ] 58/287, 1.8 task/s, elapsed: 32s, ETA:   126s
[>>>>>>                         ] 59/287, 1.8 task/s, elapsed: 32s, ETA:   124s
[>>>>>>                         ] 60/287, 1.9 task/s, elapsed: 32s, ETA:   121s
[>>>>>>                         ] 61/287, 1.9 task/s, elapsed: 32s, ETA:   119s
[>>>>>>                         ] 62/287, 1.9 task/s, elapsed: 32s, ETA:   117s
[>>>>>>                         ] 63/287, 2.0 task/s, elapsed: 32s, ETA:   114s
[>>>>>>                         ] 64/287, 2.0 task/s, elapsed: 33s, ETA:   114s
[>>>>>>>                        ] 65/287, 2.0 task/s, elapsed: 33s, ETA:   112s
[>>>>>>>                        ] 66/287, 2.0 task/s, elapsed: 33s, ETA:   110s
[>>>>>>>                        ] 67/287, 2.0 task/s, elapsed: 33s, ETA:   108s
[>>>>>>>                        ] 68/287, 2.1 task/s, elapsed: 33s, ETA:   106s
[>>>>>>>                        ] 69/287, 2.1 task/s, elapsed: 33s, ETA:   104s
[>>>>>>>                        ] 70/287, 2.1 task/s, elapsed: 33s, ETA:   103s
[>>>>>>>                        ] 71/287, 2.1 task/s, elapsed: 33s, ETA:   101s
[>>>>>>>                        ] 72/287, 2.1 task/s, elapsed: 34s, ETA:   100s
[>>>>>>>                        ] 73/287, 2.1 task/s, elapsed: 35s, ETA:   102s
[>>>>>>>                        ] 74/287, 2.1 task/s, elapsed: 35s, ETA:   100s
[>>>>>>>>                       ] 75/287, 2.1 task/s, elapsed: 35s, ETA:    99s
[>>>>>>>>                       ] 76/287, 2.2 task/s, elapsed: 35s, ETA:    97s
[>>>>>>>>                       ] 77/287, 2.2 task/s, elapsed: 35s, ETA:    96s
[>>>>>>>>                       ] 78/287, 2.2 task/s, elapsed: 35s, ETA:    94s
[>>>>>>>>                       ] 79/287, 2.2 task/s, elapsed: 35s, ETA:    92s
[>>>>>>>>                       ] 80/287, 2.3 task/s, elapsed: 35s, ETA:    91s
[>>>>>>>>                       ] 81/287, 2.3 task/s, elapsed: 35s, ETA:    90s
[>>>>>>>>                       ] 82/287, 2.3 task/s, elapsed: 35s, ETA:    88s
[>>>>>>>>                       ] 83/287, 2.3 task/s, elapsed: 35s, ETA:    87s
[>>>>>>>>>                      ] 84/287, 2.4 task/s, elapsed: 35s, ETA:    86s
[>>>>>>>>>                      ] 85/287, 2.4 task/s, elapsed: 35s, ETA:    84s
[>>>>>>>>>                      ] 86/287, 2.4 task/s, elapsed: 35s, ETA:    83s
[>>>>>>>>>                      ] 87/287, 2.5 task/s, elapsed: 35s, ETA:    82s
[>>>>>>>>>                      ] 88/287, 2.5 task/s, elapsed: 35s, ETA:    80s
[>>>>>>>>>                      ] 89/287, 2.5 task/s, elapsed: 35s, ETA:    79s
[>>>>>>>>>                      ] 90/287, 2.5 task/s, elapsed: 36s, ETA:    78s
[>>>>>>>>>                      ] 91/287, 2.6 task/s, elapsed: 36s, ETA:    77s
[>>>>>>>>>                      ] 92/287, 2.6 task/s, elapsed: 36s, ETA:    75s
[>>>>>>>>>>                     ] 93/287, 2.6 task/s, elapsed: 36s, ETA:    74s
[>>>>>>>>>>                     ] 94/287, 2.6 task/s, elapsed: 36s, ETA:    73s
[>>>>>>>>>>                     ] 95/287, 2.7 task/s, elapsed: 36s, ETA:    72s
[>>>>>>>>>>                     ] 96/287, 2.7 task/s, elapsed: 36s, ETA:    71s
[>>>>>>>>>>                     ] 97/287, 2.7 task/s, elapsed: 36s, ETA:    70s
[>>>>>>>>>>                     ] 98/287, 2.7 task/s, elapsed: 36s, ETA:    70s
[>>>>>>>>>>                     ] 99/287, 2.7 task/s, elapsed: 36s, ETA:    69s
[>>>>>>>>>>                    ] 100/287, 2.8 task/s, elapsed: 36s, ETA:    68s
[>>>>>>>>>>                    ] 101/287, 2.8 task/s, elapsed: 36s, ETA:    67s
[>>>>>>>>>>                    ] 102/287, 2.8 task/s, elapsed: 36s, ETA:    66s
[>>>>>>>>>>                    ] 103/287, 2.9 task/s, elapsed: 36s, ETA:    65s
[>>>>>>>>>>                    ] 104/287, 2.9 task/s, elapsed: 36s, ETA:    64s
[>>>>>>>>>>                    ] 105/287, 2.9 task/s, elapsed: 36s, ETA:    63s
[>>>>>>>>>>>                   ] 106/287, 2.9 task/s, elapsed: 36s, ETA:    62s
[>>>>>>>>>>>                   ] 107/287, 3.0 task/s, elapsed: 36s, ETA:    61s
[>>>>>>>>>>>                   ] 108/287, 3.0 task/s, elapsed: 36s, ETA:    60s
[>>>>>>>>>>>                   ] 109/287, 3.0 task/s, elapsed: 36s, ETA:    59s
[>>>>>>>>>>>                   ] 110/287, 3.0 task/s, elapsed: 36s, ETA:    58s
[>>>>>>>>>>>                   ] 111/287, 3.1 task/s, elapsed: 36s, ETA:    58s
[>>>>>>>>>>>                   ] 112/287, 3.1 task/s, elapsed: 36s, ETA:    57s
[>>>>>>>>>>>                   ] 113/287, 3.1 task/s, elapsed: 36s, ETA:    56s
[>>>>>>>>>>>                   ] 114/287, 3.1 task/s, elapsed: 36s, ETA:    55s
[>>>>>>>>>>>>                  ] 115/287, 3.2 task/s, elapsed: 36s, ETA:    54s
[>>>>>>>>>>>>                  ] 116/287, 3.2 task/s, elapsed: 36s, ETA:    54s
[>>>>>>>>>>>>                  ] 117/287, 3.2 task/s, elapsed: 36s, ETA:    53s
[>>>>>>>>>>>>                  ] 118/287, 3.2 task/s, elapsed: 36s, ETA:    52s
[>>>>>>>>>>>>                  ] 119/287, 3.3 task/s, elapsed: 36s, ETA:    51s
[>>>>>>>>>>>>                  ] 120/287, 3.3 task/s, elapsed: 36s, ETA:    51s
[>>>>>>>>>>>>                  ] 121/287, 3.3 task/s, elapsed: 37s, ETA:    50s
[>>>>>>>>>>>>                  ] 122/287, 3.3 task/s, elapsed: 37s, ETA:    49s
[>>>>>>>>>>>>                  ] 123/287, 3.4 task/s, elapsed: 37s, ETA:    49s
[>>>>>>>>>>>>                  ] 124/287, 3.4 task/s, elapsed: 37s, ETA:    48s
[>>>>>>>>>>>>>                 ] 125/287, 3.4 task/s, elapsed: 37s, ETA:    48s
[>>>>>>>>>>>>>                 ] 126/287, 3.4 task/s, elapsed: 37s, ETA:    47s
[>>>>>>>>>>>>>                 ] 127/287, 3.4 task/s, elapsed: 37s, ETA:    47s
[>>>>>>>>>>>>>                 ] 128/287, 3.4 task/s, elapsed: 37s, ETA:    46s
[>>>>>>>>>>>>>                 ] 129/287, 3.4 task/s, elapsed: 37s, ETA:    46s
[>>>>>>>>>>>>>                 ] 130/287, 3.5 task/s, elapsed: 38s, ETA:    45s
[>>>>>>>>>>>>>                 ] 131/287, 3.5 task/s, elapsed: 38s, ETA:    45s
[>>>>>>>>>>>>>                 ] 132/287, 3.5 task/s, elapsed: 38s, ETA:    44s
[>>>>>>>>>>>>>                 ] 133/287, 3.5 task/s, elapsed: 38s, ETA:    44s
[>>>>>>>>>>>>>>                ] 134/287, 3.5 task/s, elapsed: 38s, ETA:    43s
[>>>>>>>>>>>>>>                ] 135/287, 3.6 task/s, elapsed: 38s, ETA:    43s
[>>>>>>>>>>>>>>                ] 136/287, 3.6 task/s, elapsed: 38s, ETA:    42s
[>>>>>>>>>>>>>>                ] 137/287, 3.6 task/s, elapsed: 38s, ETA:    42s
[>>>>>>>>>>>>>>                ] 138/287, 3.6 task/s, elapsed: 38s, ETA:    41s
[>>>>>>>>>>>>>>                ] 139/287, 3.7 task/s, elapsed: 38s, ETA:    40s
[>>>>>>>>>>>>>>                ] 140/287, 3.7 task/s, elapsed: 38s, ETA:    40s
[>>>>>>>>>>>>>>                ] 141/287, 3.7 task/s, elapsed: 38s, ETA:    39s
[>>>>>>>>>>>>>>                ] 142/287, 3.7 task/s, elapsed: 38s, ETA:    39s
[>>>>>>>>>>>>>>                ] 143/287, 3.8 task/s, elapsed: 38s, ETA:    38s
[>>>>>>>>>>>>>>>               ] 144/287, 3.8 task/s, elapsed: 38s, ETA:    38s
[>>>>>>>>>>>>>>>               ] 145/287, 3.8 task/s, elapsed: 38s, ETA:    37s
[>>>>>>>>>>>>>>>               ] 146/287, 3.8 task/s, elapsed: 38s, ETA:    37s
[>>>>>>>>>>>>>>>               ] 147/287, 3.9 task/s, elapsed: 38s, ETA:    36s
[>>>>>>>>>>>>>>>               ] 148/287, 3.9 task/s, elapsed: 38s, ETA:    36s
[>>>>>>>>>>>>>>>               ] 149/287, 3.9 task/s, elapsed: 38s, ETA:    35s
[>>>>>>>>>>>>>>>               ] 150/287, 3.9 task/s, elapsed: 38s, ETA:    35s
[>>>>>>>>>>>>>>>               ] 151/287, 4.0 task/s, elapsed: 38s, ETA:    34s
[>>>>>>>>>>>>>>>               ] 152/287, 4.0 task/s, elapsed: 38s, ETA:    34s
[>>>>>>>>>>>>>>>               ] 153/287, 4.0 task/s, elapsed: 38s, ETA:    33s
[>>>>>>>>>>>>>>>>              ] 154/287, 4.0 task/s, elapsed: 38s, ETA:    33s
[>>>>>>>>>>>>>>>>              ] 155/287, 4.1 task/s, elapsed: 38s, ETA:    33s
[>>>>>>>>>>>>>>>>              ] 156/287, 4.1 task/s, elapsed: 38s, ETA:    32s
[>>>>>>>>>>>>>>>>              ] 157/287, 4.1 task/s, elapsed: 38s, ETA:    32s
[>>>>>>>>>>>>>>>>              ] 158/287, 4.1 task/s, elapsed: 38s, ETA:    31s
[>>>>>>>>>>>>>>>>              ] 159/287, 4.2 task/s, elapsed: 38s, ETA:    31s
[>>>>>>>>>>>>>>>>              ] 160/287, 4.2 task/s, elapsed: 38s, ETA:    30s
[>>>>>>>>>>>>>>>>              ] 161/287, 4.2 task/s, elapsed: 38s, ETA:    30s
[>>>>>>>>>>>>>>>>              ] 162/287, 4.2 task/s, elapsed: 38s, ETA:    30s
[>>>>>>>>>>>>>>>>>             ] 163/287, 4.2 task/s, elapsed: 38s, ETA:    29s
[>>>>>>>>>>>>>>>>>             ] 164/287, 4.3 task/s, elapsed: 38s, ETA:    29s
[>>>>>>>>>>>>>>>>>             ] 165/287, 4.3 task/s, elapsed: 38s, ETA:    28s
[>>>>>>>>>>>>>>>>>             ] 166/287, 4.3 task/s, elapsed: 38s, ETA:    28s
[>>>>>>>>>>>>>>>>>             ] 167/287, 4.3 task/s, elapsed: 38s, ETA:    28s
[>>>>>>>>>>>>>>>>>             ] 168/287, 4.4 task/s, elapsed: 38s, ETA:    27s
[>>>>>>>>>>>>>>>>>             ] 169/287, 4.4 task/s, elapsed: 38s, ETA:    27s
[>>>>>>>>>>>>>>>>>             ] 170/287, 4.4 task/s, elapsed: 38s, ETA:    26s
[>>>>>>>>>>>>>>>>>             ] 171/287, 4.4 task/s, elapsed: 39s, ETA:    26s
[>>>>>>>>>>>>>>>>>             ] 172/287, 4.4 task/s, elapsed: 39s, ETA:    26s
[>>>>>>>>>>>>>>>>>>            ] 173/287, 4.4 task/s, elapsed: 39s, ETA:    26s
[>>>>>>>>>>>>>>>>>>            ] 174/287, 4.4 task/s, elapsed: 39s, ETA:    25s
[>>>>>>>>>>>>>>>>>>            ] 175/287, 4.4 task/s, elapsed: 39s, ETA:    25s
[>>>>>>>>>>>>>>>>>>            ] 176/287, 4.5 task/s, elapsed: 39s, ETA:    25s
[>>>>>>>>>>>>>>>>>>            ] 177/287, 4.5 task/s, elapsed: 39s, ETA:    24s
[>>>>>>>>>>>>>>>>>>            ] 178/287, 4.5 task/s, elapsed: 39s, ETA:    24s
[>>>>>>>>>>>>>>>>>>            ] 179/287, 4.5 task/s, elapsed: 39s, ETA:    24s
[>>>>>>>>>>>>>>>>>>            ] 180/287, 4.6 task/s, elapsed: 39s, ETA:    23s
[>>>>>>>>>>>>>>>>>>            ] 181/287, 4.6 task/s, elapsed: 39s, ETA:    23s
[>>>>>>>>>>>>>>>>>>>           ] 182/287, 4.6 task/s, elapsed: 39s, ETA:    23s
[>>>>>>>>>>>>>>>>>>>           ] 183/287, 4.6 task/s, elapsed: 39s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>           ] 184/287, 4.7 task/s, elapsed: 39s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>           ] 185/287, 4.7 task/s, elapsed: 39s, ETA:    22s
[>>>>>>>>>>>>>>>>>>>           ] 186/287, 4.7 task/s, elapsed: 39s, ETA:    21s
[>>>>>>>>>>>>>>>>>>>           ] 187/287, 4.7 task/s, elapsed: 39s, ETA:    21s
[>>>>>>>>>>>>>>>>>>>           ] 188/287, 4.8 task/s, elapsed: 40s, ETA:    21s
[>>>>>>>>>>>>>>>>>>>           ] 189/287, 4.8 task/s, elapsed: 40s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>           ] 190/287, 4.8 task/s, elapsed: 40s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>           ] 191/287, 4.8 task/s, elapsed: 40s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>          ] 192/287, 4.8 task/s, elapsed: 40s, ETA:    20s
[>>>>>>>>>>>>>>>>>>>>          ] 193/287, 4.9 task/s, elapsed: 40s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>          ] 194/287, 4.8 task/s, elapsed: 40s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>          ] 195/287, 4.8 task/s, elapsed: 40s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>          ] 196/287, 4.8 task/s, elapsed: 40s, ETA:    19s
[>>>>>>>>>>>>>>>>>>>>          ] 197/287, 4.9 task/s, elapsed: 40s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>          ] 198/287, 4.9 task/s, elapsed: 41s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>          ] 199/287, 4.9 task/s, elapsed: 41s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>          ] 200/287, 4.9 task/s, elapsed: 41s, ETA:    18s
[>>>>>>>>>>>>>>>>>>>>>         ] 201/287, 5.0 task/s, elapsed: 41s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>         ] 202/287, 5.0 task/s, elapsed: 41s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>         ] 203/287, 5.0 task/s, elapsed: 41s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>         ] 204/287, 5.0 task/s, elapsed: 41s, ETA:    17s
[>>>>>>>>>>>>>>>>>>>>>         ] 205/287, 5.0 task/s, elapsed: 41s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>         ] 206/287, 5.1 task/s, elapsed: 41s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>         ] 207/287, 5.0 task/s, elapsed: 41s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>         ] 208/287, 5.1 task/s, elapsed: 41s, ETA:    16s
[>>>>>>>>>>>>>>>>>>>>>         ] 209/287, 5.1 task/s, elapsed: 41s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>         ] 210/287, 5.1 task/s, elapsed: 41s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>        ] 211/287, 5.1 task/s, elapsed: 42s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>        ] 212/287, 5.1 task/s, elapsed: 42s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>        ] 213/287, 5.1 task/s, elapsed: 42s, ETA:    15s
[>>>>>>>>>>>>>>>>>>>>>>        ] 214/287, 5.1 task/s, elapsed: 42s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>        ] 215/287, 5.1 task/s, elapsed: 42s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>        ] 216/287, 5.2 task/s, elapsed: 42s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>        ] 217/287, 5.1 task/s, elapsed: 42s, ETA:    14s
[>>>>>>>>>>>>>>>>>>>>>>        ] 218/287, 5.2 task/s, elapsed: 42s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>        ] 219/287, 5.2 task/s, elapsed: 42s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>        ] 220/287, 5.2 task/s, elapsed: 42s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 221/287, 5.2 task/s, elapsed: 42s, ETA:    13s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 222/287, 5.2 task/s, elapsed: 42s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 223/287, 5.2 task/s, elapsed: 42s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 224/287, 5.3 task/s, elapsed: 42s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 225/287, 5.3 task/s, elapsed: 43s, ETA:    12s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 226/287, 5.3 task/s, elapsed: 43s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 227/287, 5.3 task/s, elapsed: 43s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 228/287, 5.3 task/s, elapsed: 43s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>       ] 229/287, 5.4 task/s, elapsed: 43s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 230/287, 5.4 task/s, elapsed: 43s, ETA:    11s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 231/287, 5.4 task/s, elapsed: 43s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 232/287, 5.4 task/s, elapsed: 43s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 233/287, 5.5 task/s, elapsed: 43s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 234/287, 5.5 task/s, elapsed: 43s, ETA:    10s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 235/287, 5.5 task/s, elapsed: 43s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 236/287, 5.5 task/s, elapsed: 43s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 237/287, 5.5 task/s, elapsed: 43s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 238/287, 5.6 task/s, elapsed: 43s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>      ] 239/287, 5.6 task/s, elapsed: 43s, ETA:     9s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 240/287, 5.6 task/s, elapsed: 43s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 241/287, 5.6 task/s, elapsed: 43s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 242/287, 5.6 task/s, elapsed: 43s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 243/287, 5.7 task/s, elapsed: 43s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 244/287, 5.7 task/s, elapsed: 43s, ETA:     8s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 245/287, 5.7 task/s, elapsed: 43s, ETA:     7s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 246/287, 5.7 task/s, elapsed: 43s, ETA:     7s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 247/287, 5.7 task/s, elapsed: 43s, ETA:     7s
[>>>>>>>>>>>>>>>>>>>>>>>>>     ] 248/287, 5.8 task/s, elapsed: 43s, ETA:     7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 249/287, 5.8 task/s, elapsed: 43s, ETA:     7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 250/287, 5.8 task/s, elapsed: 43s, ETA:     6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 251/287, 5.8 task/s, elapsed: 43s, ETA:     6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 252/287, 5.9 task/s, elapsed: 43s, ETA:     6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 253/287, 5.9 task/s, elapsed: 43s, ETA:     6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 254/287, 5.9 task/s, elapsed: 43s, ETA:     6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 255/287, 5.9 task/s, elapsed: 43s, ETA:     5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 256/287, 5.9 task/s, elapsed: 43s, ETA:     5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 257/287, 6.0 task/s, elapsed: 43s, ETA:     5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>    ] 258/287, 6.0 task/s, elapsed: 43s, ETA:     5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 259/287, 6.0 task/s, elapsed: 43s, ETA:     5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 260/287, 6.0 task/s, elapsed: 43s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 261/287, 5.9 task/s, elapsed: 44s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 262/287, 5.9 task/s, elapsed: 44s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 263/287, 5.8 task/s, elapsed: 45s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 264/287, 5.8 task/s, elapsed: 46s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 265/287, 5.7 task/s, elapsed: 47s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 266/287, 5.7 task/s, elapsed: 47s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>   ] 267/287, 5.7 task/s, elapsed: 47s, ETA:     4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 268/287, 5.6 task/s, elapsed: 48s, ETA:     3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 269/287, 5.6 task/s, elapsed: 48s, ETA:     3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 270/287, 5.6 task/s, elapsed: 48s, ETA:     3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 271/287, 5.5 task/s, elapsed: 49s, ETA:     3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 272/287, 5.5 task/s, elapsed: 50s, ETA:     3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 273/287, 5.5 task/s, elapsed: 50s, ETA:     3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 274/287, 5.5 task/s, elapsed: 50s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 275/287, 5.5 task/s, elapsed: 50s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 276/287, 5.3 task/s, elapsed: 52s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>  ] 277/287, 5.3 task/s, elapsed: 52s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 278/287, 5.3 task/s, elapsed: 52s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 279/287, 5.2 task/s, elapsed: 53s, ETA:     2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 280/287, 5.2 task/s, elapsed: 54s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 281/287, 5.2 task/s, elapsed: 54s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 282/287, 5.2 task/s, elapsed: 54s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 283/287, 5.1 task/s, elapsed: 56s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 284/287, 4.7 task/s, elapsed: 60s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 285/287, 4.6 task/s, elapsed: 61s, ETA:     0s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 286/287, 1.3 task/s, elapsed: 214s, ETA:     1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 287/287, 1.3 task/s, elapsed: 216s, ETA:     0s
dataset                       version    metric                        mode    internvl-chat-20b
----------------------------  ---------  ----------------------------  ------  -------------------
mmlu                          -          naive_average                 gen     46.35
mmlu_pro                      -          -                             -       -
cmmlu                         -          naive_average                 gen     47.13
ceval                         -          naive_average                 gen     48.56
agieval                       -          -                             -       -
GaokaoBench                   -          weighted_average              gen     32.28
GPQA_extended                 -          -                             -       -
GPQA_main                     -          -                             -       -
GPQA_diamond                  -          -                             -       -
ARC-c                         -          -                             -       -
truthfulqa                    -          -                             -       -
triviaqa                      2121ce     score                         gen     31.47
triviaqa_wiki_1shot           -          -                             -       -
nq                            3dcea1     score                         gen     13.21
C3                            8c358f     accuracy                      gen     76.88
race-high                     9a54b6     accuracy                      gen     72.56
flores_100                    -          -                             -       -
winogrande                    b36770     accuracy                      gen     58.72
hellaswag                     e42710     accuracy                      gen     53.69
bbh                           -          naive_average                 gen     36.32
gsm8k                         1d7fe4     accuracy                      gen     40.71
math                          393424     accuracy                      gen     6.96
TheoremQA                     6f0af8     score                         gen     12.25
MathBench                     -          -                             -       -
openai_humaneval              8e312c     humaneval_pass@1              gen     32.32
humaneval_plus                -          -                             -       -
humanevalx                    -          -                             -       -
sanitized_mbpp                a447ff     score                         gen     33.07
mbpp_plus                     -          -                             -       -
mbpp_cn                       6fb572     score                         gen     23.40
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     19.78
IFEval                        3321a3     Inst-level-strict-accuracy    gen     31.89
IFEval                        3321a3     Prompt-level-loose-accuracy   gen     22.92
IFEval                        3321a3     Inst-level-loose-accuracy     gen     35.13
12/05 03:52:22 - OpenCompass - INFO - write summary to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B/20241205_033944/summary/summary_20241205_033944.txt
12/05 03:52:22 - OpenCompass - INFO - write csv to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B/20241205_033944/summary/summary_20241205_033944.csv