XrayGLM
XrayGLM copied to clipboard
WangRongsheng
(*bias): last dimension must be contiguous
我在v100机器运行demo,发现这个错误
(xrayglm) [yhp@node45 XrayGLM]$ python cli_demo.py --from_pretrained /home/yhp/XrayGLM/XrayGLM-3000/ --prompt_zh '详细描述这张胸部X光片的诊断结果'，烦请大家帮忙看看
[2024-02-01 18:40:16,440] [INFO] [real_accelerator.py:191:get_accelerator] Setting ds_accelerator to cuda (auto detect)
[2024-02-01 18:40:18,238] [WARNING] Failed to load bitsandbytes:No module named 'bitsandbytes'
[2024-02-01 18:40:18,239] [INFO] building FineTuneVisualGLMModel model ...
[2024-02-01 18:40:18,255] [INFO] [RANK 0] > initializing model parallel with size 1
[2024-02-01 18:40:18,255] [INFO] [RANK 0] You are using model-only mode.
For torch.distributed users or loading model parallel models, set environment variables RANK, WORLD_SIZE and LOCAL_RANK.
/home/yhp/.conda/envs/xrayglm/lib/python3.10/site-packages/torch/nn/init.py:452: UserWarning: Initializing zero-element tensors is a no-op
warnings.warn("Initializing zero-element tensors is a no-op")
replacing layer 0 attention with lora
replacing layer 14 attention with lora
[2024-02-01 18:40:30,087] [INFO] [RANK 0] > number of parameters on model parallel rank 0: 7811237376
[2024-02-01 18:40:31,623] [INFO] [RANK 0] global rank 0 is loading checkpoint /home/yhp/XrayGLM/XrayGLM-3000/3000/mp_rank_00_model_states.pt
[2024-02-01 18:40:41,798] [INFO] [RANK 0] > successfully loaded /home/yhp/XrayGLM/XrayGLM-3000/3000/mp_rank_00_model_states.pt
Explicitly passing a revision is encouraged when loading a model with custom code to ensure no malicious code has been contributed in a newer revision.
欢迎使用 XrayGLM 模型，输入图像URL或本地路径读图，继续输入内容对话，clear 重新开始，stop 终止程序
请输入图像路径或URL（回车进入纯文本对话）： /home/yhp/XrayGLM/data/demo/2p.png
*(bias): last dimension must be contiguous
请输入图像路径或URL（回车进入纯文本对话）：
我的环境：
Package Version
aiofiles 23.2.1 aiohttp 3.9.3 aiosignal 1.3.1 altair 5.2.0 annotated-types 0.6.0 anyio 4.2.0 async-timeout 4.0.3 attrs 23.2.0 boto3 1.34.32 botocore 1.34.32 certifi 2023.11.17 charset-normalizer 3.3.2 click 8.1.7 colorama 0.4.6 contourpy 1.2.0 cpm-kernels 1.0.11 cycler 0.12.1 datasets 2.16.1 deepspeed 0.13.1 dill 0.3.7 einops 0.7.0 exceptiongroup 1.2.0 fastapi 0.109.0 ffmpy 0.3.1 filelock 3.13.1 fonttools 4.47.2 frozenlist 1.4.1 fsspec 2023.10.0 gradio 3.25.0 gradio_client 0.8.1 h11 0.14.0 hjson 3.1.0 httpcore 1.0.2 httpx 0.26.0 huggingface-hub 0.20.3 idna 3.6 importlib-resources 6.1.1 Jinja2 3.1.3 jmespath 1.0.1 jsonschema 4.21.1 jsonschema-specifications 2023.12.1 kiwisolver 1.4.5 latex2mathml 3.77.0 linkify-it-py 2.0.2 Markdown 3.5.2 markdown-it-py 2.2.0 MarkupSafe 2.1.4 matplotlib 3.8.2 mdit-py-plugins 0.3.3 mdtex2html 1.3.0 mdurl 0.1.2 mpmath 1.3.0 multidict 6.0.4 multiprocess 0.70.15 networkx 3.2.1 ninja 1.11.1.1 numpy 1.26.3 nvidia-cublas-cu12 12.1.3.1 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu12 12.1.105 nvidia-cudnn-cu12 8.9.2.26 nvidia-cufft-cu12 11.0.2.54 nvidia-curand-cu12 10.3.2.106 nvidia-cusolver-cu12 11.4.5.107 nvidia-cusparse-cu12 12.1.0.106 nvidia-nccl-cu12 2.19.3 nvidia-nvjitlink-cu12 12.3.101 nvidia-nvtx-cu12 12.1.105 orjson 3.9.12 packaging 23.2 pandas 2.2.0 pillow 10.2.0 pip 23.3.1 protobuf 4.25.2 psutil 5.9.8 py-cpuinfo 9.0.0 pyarrow 15.0.0 pyarrow-hotfix 0.6 pydantic 1.10.13 pydantic_core 2.16.1 pydub 0.25.1 Pygments 2.17.2 pynvml 11.5.0 pyparsing 3.1.1 python-dateutil 2.8.2 python-multipart 0.0.6 pytz 2023.4 PyYAML 6.0.1 referencing 0.33.0 regex 2023.12.25 requests 2.31.0 rich 13.7.0 rpds-py 0.17.1 ruff 0.1.15 s3transfer 0.10.0 safetensors 0.4.2 semantic-version 2.10.0 sentencepiece 0.1.99 setuptools 68.2.2 shellingham 1.5.4 six 1.16.0 sniffio 1.3.0 starlette 0.35.1 SwissArmyTransformer 0.4.0 sympy 1.12 tensorboardX 2.6.2.2 tokenizers 0.13.3 tomlkit 0.12.0 toolz 0.12.1 torch 2.2.0 torchvision 0.17.0 tqdm 4.66.1 transformers 4.27.1 triton 2.2.0 typer 0.9.0 typing_extensions 4.9.0 tzdata 2023.4 uc-micro-py 1.0.2 urllib3 2.0.7 uvicorn 0.27.0.post1 websockets 11.0.3 wheel 0.41.2 xxhash 3.4.1 yarl 1.9.4
