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/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/cextension.py:34: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers, 8-bit multiplication, and GPU quantization are unavailable.
warn("The installed version of bitsandbytes was compiled without GPU support. "
/mnt/petrelfs/wangweiyun/miniconda3/envs/internvl_eval2/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cpu.so: undefined symbol: cadam32bit_grad_fp32
model path is /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain
12/05 03:53:05 - OpenCompass - WARNING - No previous results to reuse!
12/05 03:53:05 - OpenCompass - INFO - Reusing experiements from 20241205_035305
12/05 03:53:05 - OpenCompass - INFO - Current exp folder: /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain/20241205_035305
12/05 03:53:09 - OpenCompass - INFO - Partitioned into 256 tasks.
[ ] 0/256, elapsed: 0s, ETA:use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23414 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122944_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25962 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123141_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18689 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122937_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22821 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122949_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122953_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17969 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122898_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20454 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122897_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27767 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122931_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12817 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122896_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122952_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27484 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122935_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16885 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122925_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16672 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122922_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31025 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122943_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13469 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122947_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20997 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122890_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25281 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122965_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13579 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123050_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27089 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122957_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122941_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25344 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122893_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24034 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122929_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13737 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122939_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29143 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123099_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29710 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122948_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12203 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122926_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30504 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123129_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29083 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122942_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17004 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122969_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25064 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123065_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27075 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123067_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28431 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123073_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27163 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123041_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16713 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123135_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28048 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122962_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18280 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122970_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14922 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122963_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12954 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122946_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28441 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122940_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12070 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122933_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30630 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123238_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12961 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123112_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18997 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122930_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16322 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123211_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26218 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122892_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31071 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122883_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25237 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122895_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22279 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123241_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12645 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123237_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17194 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123232_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18253 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123117_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20953 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123078_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29974 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123106_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13208 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123224_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21964 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123115_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24509 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123098_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23190 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123104_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17152 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123234_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30870 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123091_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12917 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123097_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30785 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123096_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13564 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123081_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28417 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123045_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31146 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123239_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17549 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123069_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27820 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123088_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31021 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123076_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19453 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123240_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14474 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123220_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31218 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122971_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20940 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123043_params.py
command torchrun --master_port=30127 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123048_params.py
command torchrun --master_port=17840 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123103_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18647 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123235_params.py
command torchrun --master_port=15522 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123229_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20443 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123230_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18174 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123233_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23976 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123212_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26166 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123047_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29734 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122973_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30736 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123042_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23952 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122967_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20450 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123080_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15819 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122959_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19646 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122955_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27926 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122966_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14803 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123061_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20056 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122972_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16126 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123064_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21835 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123223_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30561 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123231_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19140 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123113_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30416 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123236_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30881 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123101_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=26994 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123105_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15749 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123156_params.py
use_backend use_backendFalse False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22093 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123226_params.py
command torchrun --master_port=30764 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123071_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13012 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123094_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24066 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123202_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25629 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122936_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18269 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122951_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23897 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122923_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22320 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123171_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21005 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123131_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29438 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123075_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13170 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122950_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14095 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123216_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27800 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123100_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20928 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122888_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22503 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123228_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25001 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123068_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15669 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123107_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=12545 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123077_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=21915 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123062_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22043 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123221_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14262 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123210_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22433 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122894_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14753 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123084_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commanduse_backend torchrun --master_port=27857 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123063_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17982 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123090_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=14658 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123120_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28472 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123085_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19035 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123054_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27024 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123111_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23369 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122882_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=30439 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123082_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31275 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123165_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24252 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123074_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28323 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123102_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22078 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123089_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=31428 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123170_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16905 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122961_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15050 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123092_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=15613 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123093_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25651 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123114_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=19216 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123203_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17223 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123087_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17682 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122958_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29868 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123146_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=22499 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123072_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20990 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123108_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24451 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123083_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=20675 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122974_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23197 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122885_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=27984 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123046_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=17500 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123222_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28602 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123053_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16516 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123095_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=23570 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123218_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=25298 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123201_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13807 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123163_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=18665 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123227_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=28306 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122960_params.py
use_backend False use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=29982 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122924_params.py
command torchrun --master_port=15730 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122954_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=13729 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122975_params.py
use_backend False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command use_backend False use_backend False use_backend False use_backend False use_backenduse_backend use_backenduse_backendFalseFalse FalseFalse{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandtorchrun --master_port=30791 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123137_params.py
torchrun --master_port=14053 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123116_params.py command{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backendtorchrun --master_port=25436 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123145_params.py
False
torchrun --master_port=23509 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123158_params.pycommand
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=12497 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122891_params.pycommand
torchrun --master_port=21145 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123058_params.py
use_backenduse_backend FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command commandtorchrun --master_port=15334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123195_params.py
torchrun --master_port=18403 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122889_params.py
use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
Falsecommand {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=26738 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122927_params.py
commanduse_backenduse_backend torchrun --master_port=24044 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122928_params.pyFalseFalse
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backenduse_backend command Falsecommand False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=22101 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123166_params.py
torchrun --master_port=30619 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123143_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backenduse_backenduse_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command False False False FalseFalse torchrun --master_port=19085 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123209_params.py
command {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}command
commandcommand
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=28714 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123066_params.py command
torchrun --master_port=31525 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123215_params.py
torchrun --master_port=28750 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123181_params.pytorchrun --master_port=13221 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123051_params.py
commandcommand torchrun --master_port=13016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122884_params.pytorchrun --master_port=16789 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123144_params.py
commanduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend
use_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend FalseFalse False Falseuse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backend torchrun --master_port=12311 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123055_params.pyFalseuse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backenduse_backend False torchrun --master_port=29743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123138_params.py
FalseFalseFalseFalseFalse False FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
False use_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
False False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendFalseuse_backenduse_backenduse_backenduse_backenduse_backend
use_backenduse_backenduse_backenduse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}FalseFalseFalseFalse FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} FalsecommandFalsecommand FalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
False
False{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=20334 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123192_params.pyFalseFalse FalseFalseFalse {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
FalseFalsecommandcommand commandcommandcommand FalseFalse use_backendcommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
use_backendcommanduse_backend False
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} Falseuse_backendtorchrun --master_port=17503 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123173_params.pytorchrun --master_port=14322 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123167_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} False commanduse_backendcommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=28134 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123204_params.pyuse_backenduse_backenduse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}Falseuse_backendcommandcommand commandcommand torchrun --master_port=18790 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123206_params.py torchrun --master_port=14877 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123124_params.pyFalsetorchrun --master_port=16393 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123152_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend
Falseuse_backend torchrun --master_port=24630 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123197_params.pyuse_backenduse_backenduse_backend
command Falsecommandcommand
torchrun --master_port=24582 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123168_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}commandtorchrun --master_port=16711 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123208_params.py
Falsecommand{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} command
FalseFalseFalse
torchrun --master_port=29413 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122945_params.py {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=16682 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123186_params.py
torchrun --master_port=30293 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123130_params.py torchrun --master_port=28911 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123153_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=21081 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123182_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command
False FalseFalseFalse
False False Falsecommandcommandcommandcommandcommandcommandcommand commandcommandcommandcommandcommandcommandcommandcommandcommandtorchrun --master_port=22553 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123056_params.py torchrun --master_port=28901 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123044_params.py torchrun --master_port=30240 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123160_params.py
commandtorchrun --master_port=30868 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123187_params.pytorchrun --master_port=31335 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123207_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=15716 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123179_params.pytorchrun --master_port=16944 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123125_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend
torchrun --master_port=18187 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123189_params.pytorchrun --master_port=23925 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122920_params.pytorchrun --master_port=14800 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122968_params.py
torchrun --master_port=14634 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123142_params.py
torchrun --master_port=30921 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123214_params.pytorchrun --master_port=25568 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123133_params.pytorchrun --master_port=29616 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123154_params.pyuse_backendtorchrun --master_port=29662 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123151_params.py
torchrun --master_port=19149 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123217_params.pytorchrun --master_port=17604 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122934_params.pytorchrun --master_port=25167 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123139_params.py
torchrun --master_port=14172 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123162_params.pytorchrun --master_port=27967 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123147_params.py
use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backenduse_backenduse_backenduse_backend commandcommand torchrun --master_port=23993 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123136_params.py
False
torchrun --master_port=24901 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122956_params.py command Falsecommandcommand Falsetorchrun --master_port=29016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123030_params.py
commandtorchrun --master_port=21016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123219_params.py
False
FalseFalsetorchrun --master_port=24195 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123180_params.pyFalse torchrun --master_port=23417 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123079_params.pyFalse command
torchrun --master_port=26824 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123049_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=28201 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123155_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=31291 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123172_params.py
command
commandtorchrun --master_port=16210 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123205_params.py commandcommand
commandcommandtorchrun --master_port=17685 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123188_params.pycommandtorchrun --master_port=16084 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123126_params.py False
command command
False command command use_backend command
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=24646 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123132_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} torchrun --master_port=15376 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123213_params.pyuse_backendtorchrun --master_port=29249 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123149_params.pytorchrun --master_port=23824 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123198_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'} {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}Falsetorchrun --master_port=17278 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123052_params.pyFalsecommand
command{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
commandcommand
torchrun --master_port=22430 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122887_params.pycommandtorchrun --master_port=26016 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123070_params.pytorchrun --master_port=28340 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123185_params.py
torchrun --master_port=25342 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123164_params.py
commandtorchrun --master_port=26834 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123200_params.py torchrun --master_port=24389 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123060_params.py
command{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=14551 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123057_params.py
command torchrun --master_port=14417 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123159_params.py
torchrun --master_port=12723 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123150_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}use_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=30575 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123134_params.pyuse_backend{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}torchrun --master_port=28538 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123191_params.pytorchrun --master_port=20942 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123140_params.pytorchrun --master_port=31611 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123196_params.pyuse_backendtorchrun --master_port=21084 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123184_params.py{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
torchrun --master_port=22342 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123148_params.py
use_backendFalseFalse
commandcommandcommandcommandcommandcommand torchrun --master_port=29015 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123193_params.pytorchrun --master_port=16292 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123190_params.pytorchrun --master_port=16932 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123183_params.pytorchrun --master_port=19553 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123169_params.py
torchrun --master_port=23743 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122964_params.py
torchrun --master_port=31346 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123225_params.py
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
{'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=16430 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123161_params.py
command torchrun --master_port=27003 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123127_params.py
command torchrun --master_port=15313 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/122938_params.py
command torchrun --master_port=27138 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123199_params.py
False {'abbr': 'internvl-chat-20b', 'batch_size': 4, 'max_out_len': 1024, 'model_args': {'device': 'cuda'}, 'path': '/mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain', 'run_cfg': {'num_gpus': 1}, 'type': 'opencompass.models.InternVLChat'}
command torchrun --master_port=24863 --nproc_per_node 1 /mnt/hwfile/wangweiyun/workspace_tcx/opencompass/opencompass/tasks/openicl_infer.py tmp/123157_params.py
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12/05 04:05:10 - OpenCompass - INFO - Partitioned into 287 tasks.
[ ] 0/287, elapsed: 0s, ETA:
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[> ] 16/287, 0.7 task/s, elapsed: 24s, ETA: 405s
[> ] 17/287, 0.7 task/s, elapsed: 24s, ETA: 384s
[> ] 18/287, 0.7 task/s, elapsed: 25s, ETA: 374s
[>> ] 19/287, 0.8 task/s, elapsed: 25s, ETA: 353s
[>> ] 20/287, 0.8 task/s, elapsed: 25s, ETA: 336s
[>> ] 21/287, 0.8 task/s, elapsed: 25s, ETA: 319s
[>> ] 22/287, 0.9 task/s, elapsed: 25s, ETA: 303s
[>> ] 23/287, 0.9 task/s, elapsed: 25s, ETA: 290s
[>> ] 24/287, 0.9 task/s, elapsed: 25s, ETA: 277s
[>> ] 25/287, 0.8 task/s, elapsed: 31s, ETA: 323s
[>> ] 26/287, 0.8 task/s, elapsed: 31s, ETA: 310s
[>> ] 27/287, 0.9 task/s, elapsed: 31s, ETA: 300s
[>>> ] 28/287, 0.9 task/s, elapsed: 31s, ETA: 291s
[>>> ] 29/287, 0.9 task/s, elapsed: 32s, ETA: 280s
[>>> ] 30/287, 0.9 task/s, elapsed: 32s, ETA: 271s
[>>> ] 31/287, 1.0 task/s, elapsed: 32s, ETA: 268s
[>>> ] 32/287, 1.0 task/s, elapsed: 33s, ETA: 262s
[>>> ] 33/287, 1.0 task/s, elapsed: 33s, ETA: 256s
[>>> ] 34/287, 1.0 task/s, elapsed: 34s, ETA: 250s
[>>> ] 35/287, 1.0 task/s, elapsed: 34s, ETA: 242s
[>>> ] 36/287, 1.1 task/s, elapsed: 34s, ETA: 234s
[>>> ] 37/287, 1.1 task/s, elapsed: 34s, ETA: 228s
[>>>> ] 38/287, 1.1 task/s, elapsed: 34s, ETA: 221s
[>>>> ] 39/287, 1.2 task/s, elapsed: 34s, ETA: 215s
[>>>> ] 40/287, 1.2 task/s, elapsed: 34s, ETA: 209s
[>>>> ] 41/287, 1.2 task/s, elapsed: 34s, ETA: 203s
[>>>> ] 42/287, 1.2 task/s, elapsed: 34s, ETA: 199s
[>>>> ] 43/287, 1.3 task/s, elapsed: 34s, ETA: 193s
[>>>> ] 44/287, 1.3 task/s, elapsed: 34s, ETA: 188s
[>>>> ] 45/287, 1.3 task/s, elapsed: 34s, ETA: 184s
[>>>> ] 46/287, 1.3 task/s, elapsed: 34s, ETA: 180s
[>>>>> ] 47/287, 1.4 task/s, elapsed: 35s, ETA: 177s
[>>>>> ] 48/287, 1.4 task/s, elapsed: 35s, ETA: 174s
[>>>>> ] 49/287, 1.4 task/s, elapsed: 36s, ETA: 173s
[>>>>> ] 50/287, 1.4 task/s, elapsed: 36s, ETA: 173s
[>>>>> ] 51/287, 1.4 task/s, elapsed: 37s, ETA: 170s
[>>>>> ] 52/287, 1.4 task/s, elapsed: 37s, ETA: 166s
[>>>>> ] 53/287, 1.4 task/s, elapsed: 37s, ETA: 163s
[>>>>> ] 54/287, 1.5 task/s, elapsed: 37s, ETA: 159s
[>>>>> ] 55/287, 1.5 task/s, elapsed: 37s, ETA: 156s
[>>>>>> ] 56/287, 1.5 task/s, elapsed: 37s, ETA: 152s
[>>>>>> ] 57/287, 1.5 task/s, elapsed: 37s, ETA: 151s
[>>>>>> ] 58/287, 1.6 task/s, elapsed: 37s, ETA: 147s
[>>>>>> ] 59/287, 1.6 task/s, elapsed: 37s, ETA: 145s
[>>>>>> ] 60/287, 1.6 task/s, elapsed: 38s, ETA: 142s
[>>>>>> ] 61/287, 1.6 task/s, elapsed: 38s, ETA: 139s
[>>>>>> ] 62/287, 1.7 task/s, elapsed: 38s, ETA: 136s
[>>>>>> ] 63/287, 1.7 task/s, elapsed: 38s, ETA: 134s
[>>>>>> ] 64/287, 1.7 task/s, elapsed: 38s, ETA: 131s
[>>>>>>> ] 65/287, 1.7 task/s, elapsed: 38s, ETA: 129s
[>>>>>>> ] 66/287, 1.8 task/s, elapsed: 38s, ETA: 126s
[>>>>>>> ] 67/287, 1.8 task/s, elapsed: 38s, ETA: 125s
[>>>>>>> ] 68/287, 1.8 task/s, elapsed: 38s, ETA: 124s
[>>>>>>> ] 69/287, 1.8 task/s, elapsed: 39s, ETA: 122s
[>>>>>>> ] 70/287, 1.8 task/s, elapsed: 39s, ETA: 120s
[>>>>>>> ] 71/287, 1.8 task/s, elapsed: 40s, ETA: 123s
[>>>>>>> ] 72/287, 1.8 task/s, elapsed: 40s, ETA: 121s
[>>>>>>> ] 73/287, 1.8 task/s, elapsed: 40s, ETA: 119s
[>>>>>>> ] 74/287, 1.8 task/s, elapsed: 40s, ETA: 116s
[>>>>>>>> ] 75/287, 1.8 task/s, elapsed: 41s, ETA: 115s
[>>>>>>>> ] 76/287, 1.9 task/s, elapsed: 41s, ETA: 113s
[>>>>>>>> ] 77/287, 1.9 task/s, elapsed: 41s, ETA: 111s
[>>>>>>>> ] 78/287, 1.9 task/s, elapsed: 41s, ETA: 109s
[>>>>>>>> ] 79/287, 1.9 task/s, elapsed: 41s, ETA: 107s
[>>>>>>>> ] 80/287, 2.0 task/s, elapsed: 41s, ETA: 105s
[>>>>>>>> ] 81/287, 2.0 task/s, elapsed: 41s, ETA: 103s
[>>>>>>>> ] 82/287, 2.0 task/s, elapsed: 41s, ETA: 102s
[>>>>>>>> ] 83/287, 2.0 task/s, elapsed: 41s, ETA: 100s
[>>>>>>>>> ] 84/287, 2.1 task/s, elapsed: 41s, ETA: 98s
[>>>>>>>>> ] 85/287, 2.1 task/s, elapsed: 41s, ETA: 97s
[>>>>>>>>> ] 86/287, 2.1 task/s, elapsed: 41s, ETA: 95s
[>>>>>>>>> ] 87/287, 2.1 task/s, elapsed: 41s, ETA: 94s
[>>>>>>>>> ] 88/287, 2.2 task/s, elapsed: 41s, ETA: 92s
[>>>>>>>>> ] 89/287, 2.2 task/s, elapsed: 41s, ETA: 91s
[>>>>>>>>> ] 90/287, 2.2 task/s, elapsed: 41s, ETA: 89s
[>>>>>>>>> ] 91/287, 2.2 task/s, elapsed: 41s, ETA: 88s
[>>>>>>>>> ] 92/287, 2.3 task/s, elapsed: 41s, ETA: 86s
[>>>>>>>>>> ] 93/287, 2.3 task/s, elapsed: 41s, ETA: 85s
[>>>>>>>>>> ] 94/287, 2.3 task/s, elapsed: 41s, ETA: 84s
[>>>>>>>>>> ] 95/287, 2.3 task/s, elapsed: 41s, ETA: 82s
[>>>>>>>>>> ] 96/287, 2.4 task/s, elapsed: 41s, ETA: 81s
[>>>>>>>>>> ] 97/287, 2.4 task/s, elapsed: 41s, ETA: 80s
[>>>>>>>>>> ] 98/287, 2.4 task/s, elapsed: 41s, ETA: 79s
[>>>>>>>>>> ] 99/287, 2.4 task/s, elapsed: 41s, ETA: 78s
[>>>>>>>>>> ] 100/287, 2.4 task/s, elapsed: 41s, ETA: 77s
[>>>>>>>>>> ] 101/287, 2.5 task/s, elapsed: 41s, ETA: 75s
[>>>>>>>>>> ] 102/287, 2.5 task/s, elapsed: 41s, ETA: 74s
[>>>>>>>>>> ] 103/287, 2.5 task/s, elapsed: 41s, ETA: 73s
[>>>>>>>>>> ] 104/287, 2.5 task/s, elapsed: 41s, ETA: 72s
[>>>>>>>>>> ] 105/287, 2.6 task/s, elapsed: 41s, ETA: 71s
[>>>>>>>>>>> ] 106/287, 2.6 task/s, elapsed: 41s, ETA: 70s
[>>>>>>>>>>> ] 107/287, 2.6 task/s, elapsed: 41s, ETA: 70s
[>>>>>>>>>>> ] 108/287, 2.6 task/s, elapsed: 41s, ETA: 69s
[>>>>>>>>>>> ] 109/287, 2.6 task/s, elapsed: 41s, ETA: 68s
[>>>>>>>>>>> ] 110/287, 2.6 task/s, elapsed: 42s, ETA: 67s
[>>>>>>>>>>> ] 111/287, 2.7 task/s, elapsed: 42s, ETA: 66s
[>>>>>>>>>>> ] 112/287, 2.7 task/s, elapsed: 42s, ETA: 65s
[>>>>>>>>>>> ] 113/287, 2.7 task/s, elapsed: 42s, ETA: 65s
[>>>>>>>>>>> ] 114/287, 2.7 task/s, elapsed: 42s, ETA: 64s
[>>>>>>>>>>>> ] 115/287, 2.7 task/s, elapsed: 43s, ETA: 64s
[>>>>>>>>>>>> ] 116/287, 2.7 task/s, elapsed: 43s, ETA: 63s
[>>>>>>>>>>>> ] 117/287, 2.7 task/s, elapsed: 43s, ETA: 62s
[>>>>>>>>>>>> ] 118/287, 2.8 task/s, elapsed: 43s, ETA: 61s
[>>>>>>>>>>>> ] 119/287, 2.7 task/s, elapsed: 43s, ETA: 61s
[>>>>>>>>>>>> ] 120/287, 2.8 task/s, elapsed: 43s, ETA: 60s
[>>>>>>>>>>>> ] 121/287, 2.7 task/s, elapsed: 45s, ETA: 62s
[>>>>>>>>>>>> ] 122/287, 2.7 task/s, elapsed: 45s, ETA: 61s
[>>>>>>>>>>>> ] 123/287, 2.7 task/s, elapsed: 46s, ETA: 61s
[>>>>>>>>>>>> ] 124/287, 2.7 task/s, elapsed: 46s, ETA: 60s
[>>>>>>>>>>>>> ] 125/287, 2.7 task/s, elapsed: 46s, ETA: 59s
[>>>>>>>>>>>>> ] 126/287, 2.8 task/s, elapsed: 46s, ETA: 59s
[>>>>>>>>>>>>> ] 127/287, 2.8 task/s, elapsed: 46s, ETA: 58s
[>>>>>>>>>>>>> ] 128/287, 2.8 task/s, elapsed: 46s, ETA: 57s
[>>>>>>>>>>>>> ] 129/287, 2.8 task/s, elapsed: 46s, ETA: 56s
[>>>>>>>>>>>>> ] 130/287, 2.8 task/s, elapsed: 46s, ETA: 55s
[>>>>>>>>>>>>> ] 131/287, 2.8 task/s, elapsed: 46s, ETA: 55s
[>>>>>>>>>>>>> ] 132/287, 2.9 task/s, elapsed: 46s, ETA: 54s
[>>>>>>>>>>>>> ] 133/287, 2.9 task/s, elapsed: 46s, ETA: 53s
[>>>>>>>>>>>>>> ] 134/287, 2.9 task/s, elapsed: 46s, ETA: 53s
[>>>>>>>>>>>>>> ] 135/287, 2.9 task/s, elapsed: 46s, ETA: 52s
[>>>>>>>>>>>>>> ] 136/287, 2.9 task/s, elapsed: 46s, ETA: 51s
[>>>>>>>>>>>>>> ] 137/287, 3.0 task/s, elapsed: 46s, ETA: 51s
[>>>>>>>>>>>>>> ] 138/287, 3.0 task/s, elapsed: 46s, ETA: 50s
[>>>>>>>>>>>>>> ] 139/287, 3.0 task/s, elapsed: 47s, ETA: 50s
[>>>>>>>>>>>>>> ] 140/287, 3.0 task/s, elapsed: 47s, ETA: 49s
[>>>>>>>>>>>>>> ] 141/287, 3.0 task/s, elapsed: 47s, ETA: 48s
[>>>>>>>>>>>>>> ] 142/287, 3.0 task/s, elapsed: 47s, ETA: 48s
[>>>>>>>>>>>>>> ] 143/287, 3.1 task/s, elapsed: 47s, ETA: 47s
[>>>>>>>>>>>>>>> ] 144/287, 3.0 task/s, elapsed: 48s, ETA: 48s
[>>>>>>>>>>>>>>> ] 145/287, 3.0 task/s, elapsed: 48s, ETA: 47s
[>>>>>>>>>>>>>>> ] 146/287, 3.0 task/s, elapsed: 48s, ETA: 46s
[>>>>>>>>>>>>>>> ] 147/287, 3.1 task/s, elapsed: 48s, ETA: 46s
[>>>>>>>>>>>>>>> ] 148/287, 3.1 task/s, elapsed: 48s, ETA: 45s
[>>>>>>>>>>>>>>> ] 149/287, 3.1 task/s, elapsed: 48s, ETA: 45s
[>>>>>>>>>>>>>>> ] 150/287, 3.1 task/s, elapsed: 48s, ETA: 44s
[>>>>>>>>>>>>>>> ] 151/287, 3.1 task/s, elapsed: 48s, ETA: 43s
[>>>>>>>>>>>>>>> ] 152/287, 3.2 task/s, elapsed: 48s, ETA: 43s
[>>>>>>>>>>>>>>> ] 153/287, 3.2 task/s, elapsed: 48s, ETA: 42s
[>>>>>>>>>>>>>>>> ] 154/287, 3.2 task/s, elapsed: 48s, ETA: 42s
[>>>>>>>>>>>>>>>> ] 155/287, 3.2 task/s, elapsed: 48s, ETA: 41s
[>>>>>>>>>>>>>>>> ] 156/287, 3.2 task/s, elapsed: 48s, ETA: 40s
[>>>>>>>>>>>>>>>> ] 157/287, 3.3 task/s, elapsed: 48s, ETA: 40s
[>>>>>>>>>>>>>>>> ] 158/287, 3.3 task/s, elapsed: 48s, ETA: 39s
[>>>>>>>>>>>>>>>> ] 159/287, 3.3 task/s, elapsed: 48s, ETA: 39s
[>>>>>>>>>>>>>>>> ] 160/287, 3.3 task/s, elapsed: 48s, ETA: 38s
[>>>>>>>>>>>>>>>> ] 161/287, 3.3 task/s, elapsed: 48s, ETA: 38s
[>>>>>>>>>>>>>>>> ] 162/287, 3.4 task/s, elapsed: 48s, ETA: 37s
[>>>>>>>>>>>>>>>>> ] 163/287, 3.4 task/s, elapsed: 48s, ETA: 37s
[>>>>>>>>>>>>>>>>> ] 164/287, 3.4 task/s, elapsed: 48s, ETA: 36s
[>>>>>>>>>>>>>>>>> ] 165/287, 3.4 task/s, elapsed: 48s, ETA: 36s
[>>>>>>>>>>>>>>>>> ] 166/287, 3.4 task/s, elapsed: 48s, ETA: 35s
[>>>>>>>>>>>>>>>>> ] 167/287, 3.5 task/s, elapsed: 48s, ETA: 35s
[>>>>>>>>>>>>>>>>> ] 168/287, 3.5 task/s, elapsed: 48s, ETA: 34s
[>>>>>>>>>>>>>>>>> ] 169/287, 3.5 task/s, elapsed: 48s, ETA: 34s
[>>>>>>>>>>>>>>>>> ] 170/287, 3.5 task/s, elapsed: 48s, ETA: 33s
[>>>>>>>>>>>>>>>>> ] 171/287, 3.5 task/s, elapsed: 48s, ETA: 33s
[>>>>>>>>>>>>>>>>> ] 172/287, 3.6 task/s, elapsed: 48s, ETA: 32s
[>>>>>>>>>>>>>>>>>> ] 173/287, 3.6 task/s, elapsed: 48s, ETA: 32s
[>>>>>>>>>>>>>>>>>> ] 174/287, 3.6 task/s, elapsed: 48s, ETA: 31s
[>>>>>>>>>>>>>>>>>> ] 175/287, 3.6 task/s, elapsed: 48s, ETA: 31s
[>>>>>>>>>>>>>>>>>> ] 176/287, 3.6 task/s, elapsed: 48s, ETA: 30s
[>>>>>>>>>>>>>>>>>> ] 177/287, 3.7 task/s, elapsed: 48s, ETA: 30s
[>>>>>>>>>>>>>>>>>> ] 178/287, 3.7 task/s, elapsed: 48s, ETA: 30s
[>>>>>>>>>>>>>>>>>> ] 179/287, 3.7 task/s, elapsed: 48s, ETA: 29s
[>>>>>>>>>>>>>>>>>> ] 180/287, 3.7 task/s, elapsed: 49s, ETA: 29s
[>>>>>>>>>>>>>>>>>> ] 181/287, 3.7 task/s, elapsed: 49s, ETA: 29s
[>>>>>>>>>>>>>>>>>>> ] 182/287, 3.7 task/s, elapsed: 50s, ETA: 29s
[>>>>>>>>>>>>>>>>>>> ] 183/287, 3.7 task/s, elapsed: 50s, ETA: 28s
[>>>>>>>>>>>>>>>>>>> ] 184/287, 3.7 task/s, elapsed: 50s, ETA: 28s
[>>>>>>>>>>>>>>>>>>> ] 185/287, 3.7 task/s, elapsed: 50s, ETA: 27s
[>>>>>>>>>>>>>>>>>>> ] 186/287, 3.7 task/s, elapsed: 50s, ETA: 27s
[>>>>>>>>>>>>>>>>>>> ] 187/287, 3.8 task/s, elapsed: 50s, ETA: 27s
[>>>>>>>>>>>>>>>>>>> ] 188/287, 3.8 task/s, elapsed: 50s, ETA: 26s
[>>>>>>>>>>>>>>>>>>> ] 189/287, 3.8 task/s, elapsed: 50s, ETA: 26s
[>>>>>>>>>>>>>>>>>>> ] 190/287, 3.8 task/s, elapsed: 50s, ETA: 25s
[>>>>>>>>>>>>>>>>>>> ] 191/287, 3.8 task/s, elapsed: 50s, ETA: 25s
[>>>>>>>>>>>>>>>>>>>> ] 192/287, 3.8 task/s, elapsed: 50s, ETA: 25s
[>>>>>>>>>>>>>>>>>>>> ] 193/287, 3.9 task/s, elapsed: 50s, ETA: 24s
[>>>>>>>>>>>>>>>>>>>> ] 194/287, 3.9 task/s, elapsed: 50s, ETA: 24s
[>>>>>>>>>>>>>>>>>>>> ] 195/287, 3.9 task/s, elapsed: 50s, ETA: 24s
[>>>>>>>>>>>>>>>>>>>> ] 196/287, 3.9 task/s, elapsed: 50s, ETA: 23s
[>>>>>>>>>>>>>>>>>>>> ] 197/287, 3.9 task/s, elapsed: 50s, ETA: 23s
[>>>>>>>>>>>>>>>>>>>> ] 198/287, 3.9 task/s, elapsed: 50s, ETA: 23s
[>>>>>>>>>>>>>>>>>>>> ] 199/287, 4.0 task/s, elapsed: 50s, ETA: 22s
[>>>>>>>>>>>>>>>>>>>> ] 200/287, 4.0 task/s, elapsed: 50s, ETA: 22s
[>>>>>>>>>>>>>>>>>>>>> ] 201/287, 4.0 task/s, elapsed: 50s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>>> ] 202/287, 4.0 task/s, elapsed: 50s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>>> ] 203/287, 4.0 task/s, elapsed: 50s, ETA: 21s
[>>>>>>>>>>>>>>>>>>>>> ] 204/287, 4.1 task/s, elapsed: 50s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>>> ] 205/287, 4.1 task/s, elapsed: 50s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>>> ] 206/287, 4.0 task/s, elapsed: 51s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>>> ] 207/287, 4.0 task/s, elapsed: 51s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>>> ] 208/287, 4.0 task/s, elapsed: 52s, ETA: 20s
[>>>>>>>>>>>>>>>>>>>>> ] 209/287, 4.0 task/s, elapsed: 52s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>> ] 210/287, 4.0 task/s, elapsed: 52s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>>> ] 211/287, 4.0 task/s, elapsed: 52s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>>> ] 212/287, 4.0 task/s, elapsed: 52s, ETA: 19s
[>>>>>>>>>>>>>>>>>>>>>> ] 213/287, 4.0 task/s, elapsed: 53s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>> ] 214/287, 4.0 task/s, elapsed: 53s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>> ] 215/287, 4.0 task/s, elapsed: 53s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>> ] 216/287, 4.0 task/s, elapsed: 54s, ETA: 18s
[>>>>>>>>>>>>>>>>>>>>>> ] 217/287, 4.0 task/s, elapsed: 54s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>> ] 218/287, 4.0 task/s, elapsed: 54s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>> ] 219/287, 4.0 task/s, elapsed: 55s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>> ] 220/287, 3.9 task/s, elapsed: 56s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>>> ] 221/287, 3.9 task/s, elapsed: 56s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>>> ] 222/287, 3.9 task/s, elapsed: 57s, ETA: 17s
[>>>>>>>>>>>>>>>>>>>>>>> ] 223/287, 3.9 task/s, elapsed: 57s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>>> ] 224/287, 3.9 task/s, elapsed: 57s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>>> ] 225/287, 3.9 task/s, elapsed: 57s, ETA: 16s
[>>>>>>>>>>>>>>>>>>>>>>> ] 226/287, 4.0 task/s, elapsed: 57s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>>> ] 227/287, 4.0 task/s, elapsed: 57s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>>> ] 228/287, 4.0 task/s, elapsed: 57s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>>> ] 229/287, 4.0 task/s, elapsed: 57s, ETA: 15s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 230/287, 4.0 task/s, elapsed: 57s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 231/287, 4.0 task/s, elapsed: 57s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 232/287, 4.0 task/s, elapsed: 57s, ETA: 14s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 233/287, 4.1 task/s, elapsed: 57s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 234/287, 4.1 task/s, elapsed: 57s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 235/287, 4.1 task/s, elapsed: 57s, ETA: 13s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 236/287, 4.1 task/s, elapsed: 58s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 237/287, 4.1 task/s, elapsed: 58s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 238/287, 4.1 task/s, elapsed: 58s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>> ] 239/287, 4.1 task/s, elapsed: 58s, ETA: 12s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 240/287, 4.2 task/s, elapsed: 58s, ETA: 11s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 241/287, 4.2 task/s, elapsed: 58s, ETA: 11s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 242/287, 4.2 task/s, elapsed: 58s, ETA: 11s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 243/287, 4.2 task/s, elapsed: 58s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 244/287, 4.2 task/s, elapsed: 58s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 245/287, 4.2 task/s, elapsed: 58s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 246/287, 4.3 task/s, elapsed: 58s, ETA: 10s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 247/287, 4.3 task/s, elapsed: 58s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>> ] 248/287, 4.3 task/s, elapsed: 58s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 249/287, 4.3 task/s, elapsed: 58s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 250/287, 4.3 task/s, elapsed: 58s, ETA: 9s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 251/287, 4.3 task/s, elapsed: 58s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 252/287, 4.4 task/s, elapsed: 58s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 253/287, 4.4 task/s, elapsed: 58s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 254/287, 4.4 task/s, elapsed: 58s, ETA: 8s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 255/287, 4.4 task/s, elapsed: 58s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 256/287, 4.4 task/s, elapsed: 58s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 257/287, 4.4 task/s, elapsed: 58s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>> ] 258/287, 4.5 task/s, elapsed: 58s, ETA: 7s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 259/287, 4.5 task/s, elapsed: 58s, ETA: 6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 260/287, 4.5 task/s, elapsed: 58s, ETA: 6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 261/287, 4.5 task/s, elapsed: 58s, ETA: 6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 262/287, 4.5 task/s, elapsed: 58s, ETA: 6s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 263/287, 4.5 task/s, elapsed: 58s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 264/287, 4.5 task/s, elapsed: 58s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 265/287, 4.6 task/s, elapsed: 58s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 266/287, 4.6 task/s, elapsed: 58s, ETA: 5s
[>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 267/287, 4.6 task/s, elapsed: 58s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 268/287, 4.6 task/s, elapsed: 58s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 269/287, 4.6 task/s, elapsed: 58s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 270/287, 4.6 task/s, elapsed: 58s, ETA: 4s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 271/287, 4.7 task/s, elapsed: 58s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 272/287, 4.7 task/s, elapsed: 58s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 273/287, 4.7 task/s, elapsed: 58s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 274/287, 4.7 task/s, elapsed: 58s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 275/287, 4.7 task/s, elapsed: 58s, ETA: 3s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 276/287, 4.7 task/s, elapsed: 58s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 277/287, 4.8 task/s, elapsed: 58s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 278/287, 4.8 task/s, elapsed: 58s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 279/287, 4.8 task/s, elapsed: 58s, ETA: 2s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 280/287, 4.8 task/s, elapsed: 58s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 281/287, 4.8 task/s, elapsed: 58s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 282/287, 4.8 task/s, elapsed: 58s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 283/287, 4.9 task/s, elapsed: 58s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 284/287, 4.7 task/s, elapsed: 60s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 285/287, 4.5 task/s, elapsed: 63s, ETA: 0s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>> ] 286/287, 1.3 task/s, elapsed: 227s, ETA: 1s
[>>>>>>>>>>>>>>>>>>>>>>>>>>>>>] 287/287, 1.3 task/s, elapsed: 228s, ETA: 0s
dataset version metric mode internvl-chat-20b
---------------------------- --------- ---------------------------- ------ -------------------
mmlu - naive_average gen 47.29
mmlu_pro - - - -
cmmlu - naive_average gen 46.11
ceval - naive_average gen 48.59
agieval - - - -
GaokaoBench - weighted_average gen 33.12
GPQA_extended - - - -
GPQA_main - - - -
GPQA_diamond - - - -
ARC-c - - - -
truthfulqa - - - -
triviaqa 2121ce score gen 37.26
triviaqa_wiki_1shot - - - -
nq 3dcea1 score gen 15.32
C3 8c358f accuracy gen 75.78
race-high 9a54b6 accuracy gen 73.96
flores_100 - - - -
winogrande b36770 accuracy gen 56.51
hellaswag e42710 accuracy gen 57.91
bbh - naive_average gen 37.91
gsm8k 1d7fe4 accuracy gen 42.68
math 393424 accuracy gen 10.98
TheoremQA 6f0af8 score gen 13.88
MathBench - - - -
openai_humaneval 8e312c humaneval_pass@1 gen 34.76
humaneval_plus - - - -
humanevalx - - - -
sanitized_mbpp a447ff score gen 40.86
mbpp_plus - - - -
mbpp_cn 6fb572 score gen 28.20
leval - - - -
leval_closed - - - -
leval_open - - - -
longbench - - - -
longbench_single-document-qa - - - -
longbench_multi-document-qa - - - -
longbench_summarization - - - -
longbench_few-shot-learning - - - -
longbench_synthetic-tasks - - - -
longbench_code-completion - - - -
teval - - - -
teval_zh - - - -
IFEval 3321a3 Prompt-level-strict-accuracy gen 17.38
IFEval 3321a3 Inst-level-strict-accuracy gen 29.50
IFEval 3321a3 Prompt-level-loose-accuracy gen 20.89
IFEval 3321a3 Inst-level-loose-accuracy gen 33.45
12/05 04:09:09 - OpenCompass - INFO - write summary to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain/20241205_035305/summary/summary_20241205_035305.txt
12/05 04:09:09 - OpenCompass - INFO - write csv to /mnt/petrelfs/wangweiyun/workspace_cz/InternVL/internvl_chat_dev/share_internvl/InternVL2-2B-Pretrain/20241205_035305/summary/summary_20241205_035305.csv
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