ghcr.io/rsxdalv/tts-generation-webui:main linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main  ghcr.io/rsxdalv/tts-generation-webui:main

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main  ghcr.io/rsxdalv/tts-generation-webui:main

Shell快速替换命令

sed -i 's#ghcr.io/rsxdalv/tts-generation-webui:main#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main  ghcr.io/rsxdalv/tts-generation-webui:main'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main  ghcr.io/rsxdalv/tts-generation-webui:main'

镜像构建历史

# 2025-05-11 03:44:16  0.00B 设置默认要执行的命令
CMD ["/bin/sh" "-c" "python3 server.py --docker"]
                        
# 2025-05-11 03:44:16  1.13GB 执行命令并创建新的镜像层
RUN /bin/sh -c cd react-ui && npm install && npm run build # buildkit
                        
# 2025-05-11 03:43:17  459.19KB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION nvidia-ml-py # buildkit
                        
# 2025-05-11 03:43:13  776.27MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_stable_audio@main # buildkit
                        
# 2025-05-11 03:42:14  261.64KB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_maha_tts@main # buildkit
                        
# 2025-05-11 03:42:10  351.04MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_vall_e_x@main # buildkit
                        
# 2025-05-11 03:41:50  171.26MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_styletts2@main # buildkit
                        
# 2025-05-11 03:41:32  444.52MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_audiocraft@main # buildkit
                        
# 2025-05-11 03:41:05  440.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_rvc@main # buildkit
                        
# 2025-05-11 03:40:32  5.39MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==$TORCH_VERSION git+https://github.com/rsxdalv/extension_bark_voice_clone@main # buildkit
                        
# 2025-05-11 03:40:27  1.21GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-cache-dir torch==$TORCH_VERSION -r requirements.txt # buildkit
                        
# 2025-05-11 03:39:22  0.00B 设置工作目录为/app/tts-generation-webui
WORKDIR /app/tts-generation-webui
                        
# 2025-05-11 03:39:22  42.47MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/rsxdalv/tts-generation-webui.git # buildkit
                        
# 2025-05-11 03:39:20  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-05-11 03:39:20  5.56GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir setuptools torch==$TORCH_VERSION torchvision torchaudio # buildkit
                        
# 2025-05-11 03:38:11  0.00B 设置环境变量 PATH
ENV PATH=/root/.cargo/bin:/root/.nvm/versions/node/v22.9.0/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-11 03:38:11  0.00B 设置环境变量 TORCH_VERSION
ENV TORCH_VERSION=2.6.0
                        
# 2025-05-11 03:38:11  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c npm --version # buildkit
                        
# 2025-05-11 03:38:11  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c node --version # buildkit
                        
# 2025-05-11 03:38:11  0.00B 设置环境变量 PATH
ENV PATH=/root/.nvm/versions/node/v22.9.0/bin/:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2025-05-11 03:38:11  8.00B 执行命令并创建新的镜像层
RUN /bin/sh -c . "$NVM_DIR/nvm.sh" && nvm alias default v${NODE_VERSION} # buildkit
                        
# 2025-05-11 03:38:10  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c . "$NVM_DIR/nvm.sh" && nvm use v${NODE_VERSION} # buildkit
                        
# 2025-05-11 03:38:10  95.00B 执行命令并创建新的镜像层
RUN /bin/sh -c . "$NVM_DIR/nvm.sh" && nvm install ${NODE_VERSION} # buildkit
                        
# 2025-05-11 03:38:09  0.00B 设置环境变量 NVM_DIR
ENV NVM_DIR=/root/.nvm
                        
# 2025-05-11 03:38:09  208.45MB 执行命令并创建新的镜像层
RUN /bin/sh -c curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash # buildkit
                        
# 2025-05-11 03:38:04  2.40MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt install -y curl # buildkit
                        
# 2025-05-11 03:38:04  0.00B 设置环境变量 NODE_VERSION
ENV NODE_VERSION=22.9.0
                        
# 2025-05-11 03:38:00  587.34MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install --no-install-recommends -y     git vim nano build-essential python3-dev python3-venv python3-pip gcc g++ ffmpeg # buildkit
                        
# 2023-11-10 14:55:21  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
                        
# 2023-11-10 14:55:21  383.52KB 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 14:55:17  4.72GB 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-11-8=${NV_CUDA_CUDART_DEV_VERSION}     cuda-command-line-tools-11-8=${NV_CUDA_LIB_VERSION}     cuda-minimal-build-11-8=${NV_CUDA_LIB_VERSION}     cuda-libraries-dev-11-8=${NV_CUDA_LIB_VERSION}     cuda-nvml-dev-11-8=${NV_NVML_DEV_VERSION}     ${NV_NVPROF_DEV_PACKAGE}     ${NV_LIBNPP_DEV_PACKAGE}     libcusparse-dev-11-8=${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 14:55:17  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:55:17  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.15.5-1+cuda11.8
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-11-8=11.8.87-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=11.8.87-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-11-8=11.8.0-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=11.8.0-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-11-8=11.11.3.6-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-11-8
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=11.11.3.6-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-11-8=11.8.0.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=11.8.0.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=11.7.5.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=11.8.86-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=11.8.89-1
                        
# 2023-11-10 14:55:17  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-11-10 14:42:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2023-11-10 14:42:37  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2023-11-10 14:42:37  2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
                        
# 2023-11-10 14:42:37  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 14:42:37  260.16KB 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 14:42:36  2.41GB 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-11-8=${NV_CUDA_LIB_VERSION}     ${NV_LIBNPP_PACKAGE}     cuda-nvtx-11-8=${NV_NVTX_VERSION}     libcusparse-11-8=${NV_LIBCUSPARSE_VERSION}     ${NV_LIBCUBLAS_PACKAGE}     ${NV_LIBNCCL_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:42:36  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:42:36  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.15.5-1+cuda11.8
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.15.5-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.15.5-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-11-8=11.11.3.6-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=11.11.3.6-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-11-8
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=11.7.5.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-11-8=11.8.0.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=11.8.0.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=11.8.86-1
                        
# 2023-11-10 14:42:36  0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=11.8.0-1
                        
# 2023-11-10 14:37:16  0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
                        
# 2023-11-10 14:37:16  0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
                        
# 2023-11-10 14:37:16  17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
                        
# 2023-11-10 14:37:16  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 14:37:16  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 14:37:16  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 14:37:16  150.67MB 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-11-8=${NV_CUDA_CUDART_VERSION}     ${NV_CUDA_COMPAT_PACKAGE}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=11.8.0
                        
# 2023-11-10 14:37:01  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 14:37:01  0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
                        
# 2023-11-10 14:37:01  0.00B 定义构建参数
ARG TARGETARCH
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=11.8.89-1
                        
# 2023-11-10 14:37:01  0.00B 设置环境变量 NVIDIA_REQUIRE_CUDA brand brand brand brand brand brand brand brand brand brand
ENV NVIDIA_REQUIRE_CUDA=cuda>=11.8 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
                        
# 2023-11-10 14:37:01  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

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    "RepoTags": [
        "ghcr.io/rsxdalv/tts-generation-webui:main",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui:main"
    ],
    "RepoDigests": [
        "ghcr.io/rsxdalv/tts-generation-webui@sha256:d72b4c0650d26be15581e4ab4f4f49c874478554ac559fce2c0f3dc56b5cd977",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/rsxdalv/tts-generation-webui@sha256:d72b4c0650d26be15581e4ab4f4f49c874478554ac559fce2c0f3dc56b5cd977"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-05-10T19:44:16.033220891Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/root/.cargo/bin:/root/.nvm/versions/node/v22.9.0/bin/:/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=11.8 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",
            "NV_CUDA_CUDART_VERSION=11.8.89-1",
            "NV_CUDA_COMPAT_PACKAGE=cuda-compat-11-8",
            "CUDA_VERSION=11.8.0",
            "LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
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