pip install deepspeed 报CUDA_HOMEnot exists错误,search到原因是cuda toolkit没有装(之前装的都是在虚拟环境下的cuda runtime) 参考链接:https://stackoverflow.com/questions/52731782/get-cuda-home-environment-path-pytorch 多机多卡部署 0. 确保一致性 代码路径 执行训练的代码、模型、数据集等相关文件、路径要...
原因是因为 deepspeed 需要安装 cuda toolkit (runtime cuda), 不能使用 torch 内置的 cuda toolkit。 安装完成之后使用 nvcc -V, 输出版本则证明安装cuda toolkit 成功。 参考:[https://github.com/micr
针对您遇到的 deepspeed.ops.op_builder.builder.missingcudaexception: cuda_home does not ex 错误,这个问题通常是由于CUDA环境配置不正确或 cuda_home 环境变量未设置/设置错误所导致的。以下是一些详细的解决步骤,帮助您解决这个问题: 1. 确认 cuda_home 环境变量是否正确设置 首先,您需要确认是否设置了 cuda_hom...
/home/sankuai/conda/envs/videollava/lib/python3.10/site-packages/bitsandbytes/cuda_setup/main.py:166: UserWarning: /usr/local/cuda/lib:/usr/local/cuda/lib64::/usr/local/cuda/lib:/usr/local/cuda/lib64::/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/java/jre/lib...
Note: CUDA works fine with PyTorch Similar issues were opened earlier but no solution: [BUG] I can't using pip install deepspeed#2406 [BUG] assert cuda_home is not None, "CUDA_HOME does not exist, unable to compile CUDA op(s)"#2337 ...
output = subprocess.check_output([cuda_home + "/bin/nvcc", File "C:\miniconda3\envs\tortoise\lib\subprocess.py", line 424, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, File "C:\miniconda3\envs\tortoise\lib\subprocess.py", line 505, in run ...
配置CUDA环境变量。 执行vim ~/.bashrc命令,打开配置文件。 按i进入编辑模式。 在文件末尾添加如下参数。 export CUDA_HOME=/usr/local/cuda-11.4 export PATH=$PATH:$CUDA_HOME/bin export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_HOME/lib64 按esc退出编辑模式,输入:wq并按Enter键,保存并退出文件。
安装完成后进入home/xxxx/中,使用Ctrl+h来显示隐藏文件,之后进入.bashrc中在文件末尾添加如下内容 #cuda export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64/:$LD_LIBRARY_PATH export PATH=/usr/local/cuda-9.0/bin:$PATH 1. 2. 3. 之后终端中输入 ...
RuntimeError: Expected object of type torch.cuda.LongTensor but found type torch.cuda.DoubleTensor for argument #2 'target' ==>> Solution: just add .long() to change the type of that variable, according tohttps://github.com/fastai/fastai/issues/71. ...
FROM nvidia/cuda:11.7.1-devel-ubuntu22.04 # 更新系统包 RUN apt-get update && apt-get install -y git build-essential zlib1g-dev libncurses5-dev libgdbm-dev libnss3-dev libssl-dev libsqlite3-dev libreadline-dev libffi-dev liblzma-dev libbz2-dev curl wget net-tools iputils-ping pdsh #...