镜像构建历史
# 2025-03-29 01:40:48 0.00B 声明容器运行时监听的端口
EXPOSE map[80/tcp:{}]
# 2025-03-29 01:40:48 18.05KB 复制新文件或目录到容器中
COPY ../web_demo.py ./ # buildkit
# 2025-03-29 01:40:48 0.00B 执行命令并创建新的镜像层
RUN |2 BUNDLE_FLASH_ATTENTION=true BUNDLE_VLLM=true /bin/sh -c rm -rvf /root/.cache/pip # buildkit
# 2025-03-29 01:40:48 2.99MB 执行命令并创建新的镜像层
RUN |2 BUNDLE_FLASH_ATTENTION=true BUNDLE_VLLM=true /bin/sh -c pip3 install gradio==5.23.1 gradio_client==1.8.0 librosa==0.11.0 ffmpeg==1.4 ffmpeg-python==0.2.0 soundfile==0.13.1 av # buildkit
# 2025-03-29 00:00:19 3.25GB 执行命令并创建新的镜像层
RUN |2 BUNDLE_FLASH_ATTENTION=true BUNDLE_VLLM=true /bin/sh -c if [ "$BUNDLE_VLLM" = "true" ]; then mkdir -p /data/shared/code && cd /data/shared/code && git clone -b qwen2_omni_public_v1 https://github.com/fyabc/vllm.git && cd vllm && git checkout d40f54fc2f1524458669048cb40a8d0286f5d1d2 && python3 use_existing_torch.py && pip3 install setuptools_scm && pip3 install -r requirements/cuda.txt && pip3 install . --no-build-isolation && cd /data/shared/Qwen && rm -rf /data/shared/code/vllm; fi # buildkit
# 2025-03-28 23:47:12 0.00B 定义构建参数
ARG BUNDLE_VLLM=true
# 2025-03-28 23:47:12 615.21MB 执行命令并创建新的镜像层
RUN |1 BUNDLE_FLASH_ATTENTION=true /bin/sh -c if [ "$BUNDLE_FLASH_ATTENTION" = "true" ]; then mkdir -p /data/shared/code && pip install ninja && cd /data/shared/code && git clone https://github.com/Dao-AILab/flash-attention.git && cd flash-attention && python setup.py install && cd /data/shared/Qwen && rm -rf /data/shared/code/flash-attention; fi # buildkit
# 2025-03-28 23:29:41 0.00B 设置环境变量 CCACHE_DIR
ENV CCACHE_DIR=/root/.cache/ccache
# 2025-03-28 23:29:41 0.00B 设置环境变量 VLLM_FA_CMAKE_GPU_ARCHES
ENV VLLM_FA_CMAKE_GPU_ARCHES=80-real;90-real
# 2025-03-28 23:29:41 0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6 8.9 9.0+PTX
# 2025-03-28 23:29:41 0.00B 设置环境变量 NVCC_THREADS
ENV NVCC_THREADS=2
# 2025-03-28 23:29:41 0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=32
# 2025-03-28 23:29:41 0.00B 定义构建参数
ARG BUNDLE_FLASH_ATTENTION=true
# 2025-03-28 23:29:41 1.01GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install git+https://github.com/huggingface/transformers@f742a644ca32e65758c3adb36225aef1731bd2a8 && pip3 install accelerate qwen-omni-utils modelscope_studio # buildkit
# 2025-03-24 00:49:50 5.72GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install torch==2.6.0 torchvision==0.21.0 torchaudio==2.6.0 xformers==0.0.29.post2 # buildkit
# 2025-03-24 00:48:29 12.68MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install networkx==3.1 # buildkit
# 2025-03-24 00:48:28 0.00B 设置工作目录为/data/shared/Qwen/
WORKDIR /data/shared/Qwen/
# 2025-03-24 00:48:28 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /data/shared/Qwen # buildkit
# 2025-03-24 00:48:28 0.00B 设置工作目录为/
WORKDIR /
# 2025-03-24 00:48:28 126.00B 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c git lfs install # buildkit
# 2025-03-24 00:48:27 16.00B 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c ln -s /usr/bin/python3 /usr/bin/python # buildkit
# 2025-03-24 00:48:27 135.03MB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c wget https://github.com/Kitware/CMake/releases/download/v3.26.1/cmake-3.26.1-Linux-x86_64.sh -q -O /tmp/cmake-install.sh && chmod u+x /tmp/cmake-install.sh && mkdir /opt/cmake-3.26.1 && /tmp/cmake-install.sh --skip-license --prefix=/opt/cmake-3.26.1 && rm /tmp/cmake-install.sh && ln -s /opt/cmake-3.26.1/bin/* /usr/local/bin # buildkit
# 2025-03-24 00:48:22 3.26GB 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c apt update -y && apt upgrade -y && apt install -y --no-install-recommends \
git \
git-lfs \
python3 \
python3-pip \
python3-dev \
wget \
vim \
libsndfile1 \
ccache \
software-properties-common \
ffmpeg \
&& rm -rf /var/lib/apt/lists/*
# buildkit
# 2025-03-24 00:48:22 0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
# 2023-11-10 14:28:19 2.45GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends ${NV_CUDNN_PACKAGE} ${NV_CUDNN_PACKAGE_DEV} && apt-mark hold ${NV_CUDNN_PACKAGE_NAME} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:28:19 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.0.131
# 2023-11-10 14:28:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:28:19 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_PACKAGE_DEV
ENV NV_CUDNN_PACKAGE_DEV=libcudnn8-dev=8.9.0.131-1+cuda12.1
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_PACKAGE
ENV NV_CUDNN_PACKAGE=libcudnn8=8.9.0.131-1+cuda12.1
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-11-10 14:28:19 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.0.131
# 2023-11-10 14:02:16 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 14:02:16 385.64KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 14:02:04 4.81GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-1=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-1=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-1=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-1=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-1=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-1=${NV_LIBCUSPARSE_DEV_VERSION} ${NV_LIBCUBLAS_DEV_PACKAGE} ${NV_LIBNCCL_DEV_PACKAGE} ${NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 14:02:04 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:02:04 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.17.1-1+cuda12.1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.0.2.50-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.55-1
# 2023-11-10 14:02:04 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:49:20 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 13:49:20 0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
# 2023-11-10 13:49:20 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 13:49:20 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 13:49:20 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2023-11-10 13:49:20 261.38KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_PACKAGE_NAME} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 13:49:19 1.99GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-1=${NV_NVTX_VERSION} libcusparse-12-1=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:49:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:49:19 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
# 2023-11-10 13:49:19 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:44:29 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 13:44:29 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 13:44:29 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 13:44:29 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2023-11-10 13:44:29 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2023-11-10 13:44:29 46.00B 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf # buildkit
# 2023-11-10 13:44:29 149.59MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-12-1=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:44:18 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
# 2023-11-10 13:44:18 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.0-1_all.deb && dpkg -i cuda-keyring_1.0-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:44:18 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:44:18 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:44:18 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
# 2023-11-10 13:44:18 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
# 2023-11-10 13:44:18 0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.1 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526
# 2023-11-10 13:44:18 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-05 15:33:32 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-05 15:33:32 77.82MB
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in /
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-05 15:33:30 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:414c77582be7cf0d0159f69909591582193d3755d7925a2db7e67b964e6ba9ae",
"RepoTags": [
"qwenllm/qwen-omni:2.5-cu121",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen-omni:2.5-cu121"
],
"RepoDigests": [
"qwenllm/qwen-omni@sha256:f9dfa2e72f2849342b67d63f924c5d36270a151097bf71fe06efed8c1ee67c66",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen-omni@sha256:ca5740a6139bb14591662859f7f7855b81f72b9ce32e441edd4c4b30f28d8d6d"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-03-29T01:40:48.907951194+08:00",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"80/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
"NVARCH=x86_64",
"NVIDIA_REQUIRE_CUDA=cuda\u003e=12.1 brand=tesla,driver\u003e=470,driver\u003c471 brand=unknown,driver\u003e=470,driver\u003c471 brand=nvidia,driver\u003e=470,driver\u003c471 brand=nvidiartx,driver\u003e=470,driver\u003c471 brand=geforce,driver\u003e=470,driver\u003c471 brand=geforcertx,driver\u003e=470,driver\u003c471 brand=quadro,driver\u003e=470,driver\u003c471 brand=quadrortx,driver\u003e=470,driver\u003c471 brand=titan,driver\u003e=470,driver\u003c471 brand=titanrtx,driver\u003e=470,driver\u003c471 brand=tesla,driver\u003e=525,driver\u003c526 brand=unknown,driver\u003e=525,driver\u003c526 brand=nvidia,driver\u003e=525,driver\u003c526 brand=nvidiartx,driver\u003e=525,driver\u003c526 brand=geforce,driver\u003e=525,driver\u003c526 brand=geforcertx,driver\u003e=525,driver\u003c526 brand=quadro,driver\u003e=525,driver\u003c526 brand=quadrortx,driver\u003e=525,driver\u003c526 brand=titan,driver\u003e=525,driver\u003c526 brand=titanrtx,driver\u003e=525,driver\u003c526",
"NV_CUDA_CUDART_VERSION=12.1.55-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
"CUDA_VERSION=12.1.0",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.1.0-1",
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