镜像构建历史
# 2025-01-02 16:14:48 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/start.sh"]
# 2025-01-02 16:14:48 2.00KB 执行命令并创建新的镜像层
RUN |1 VENV_NAME=cosyvoice /bin/sh -c chmod +x /start.sh # buildkit
# 2025-01-02 16:14:48 2.00KB 复制新文件或目录到容器中
COPY start.sh / # buildkit
# 2025-01-02 16:14:48 86.00B 复制新文件或目录到容器中
COPY post_stop.sh /post_stop.sh # buildkit
# 2025-01-02 16:14:48 210.00B 复制新文件或目录到容器中
COPY post_start.sh /post_start.sh # buildkit
# 2025-01-02 16:14:47 22.16GB 执行命令并创建新的镜像层
RUN |1 VENV_NAME=cosyvoice /bin/sh -c conda run -n ${VENV} conda install -y -c conda-forge pynini==2.1.5 && git clone --recursive https://github.com/FunAudioLLM/CosyVoice.git && cd CosyVoice && git submodule update --init --recursive && conda run -n ${VENV} pip install --no-cache-dir -r requirements.txt && conda run -n ${VENV} pip install transformers[torch] && mkdir -p pretrained_models && git clone https://www.modelscope.cn/iic/CosyVoice2-0.5B.git pretrained_models/CosyVoice2-0.5B && git clone https://www.modelscope.cn/iic/CosyVoice-ttsfrd.git pretrained_models/CosyVoice-ttsfrd && cd pretrained_models/CosyVoice-ttsfrd/ && unzip resource.zip -d . && conda run -n ${VENV} pip install ttsfrd_dependency-0.1-py3-none-any.whl && conda run -n ${VENV} pip install ttsfrd-0.4.2-cp310-cp310-linux_x86_64.whl && conda run -n ${VENV} pip install --no-cache-dir jupyterlab ipywidgets ipykernel matplotlib && cd /workspace/ # buildkit
# 2025-01-02 16:04:58 0.00B 设置工作目录为/workspace
WORKDIR /workspace
# 2025-01-02 16:04:58 0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/opt/conda/envs/cosyvoice/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-01-02 16:04:58 0.00B 设置环境变量 CONDA_DEFAULT_ENV
ENV CONDA_DEFAULT_ENV=cosyvoice
# 2025-01-02 16:04:58 878.86MB 执行命令并创建新的镜像层
RUN |1 VENV_NAME=cosyvoice /bin/sh -c conda create -y -n ${VENV} python=3.10 # buildkit
# 2025-01-02 16:04:21 128.00B 执行命令并创建新的镜像层
RUN |1 VENV_NAME=cosyvoice /bin/sh -c conda config --add channels conda-forge && conda config --set channel_priority strict # buildkit
# 2025-01-02 16:04:20 0.00B 设置环境变量 PATH
ENV PATH=/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2025-01-02 16:04:20 640.20MB 执行命令并创建新的镜像层
RUN |1 VENV_NAME=cosyvoice /bin/sh -c wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && bash ~/miniconda.sh -b -u -p /opt/conda && rm ~/miniconda.sh && /opt/conda/bin/conda init bash && echo "conda activate ${VENV}" >> $HOME/.bashrc # buildkit
# 2025-01-02 15:51:31 494.99MB 执行命令并创建新的镜像层
RUN |1 VENV_NAME=cosyvoice /bin/sh -c chmod 1777 /tmp && apt-get update -y --fix-missing && apt-get install --no-install-recommends -y git build-essential curl wget ffmpeg unzip git-lfs sox libsox-dev net-tools vim openssh-server ca-certificates && apt-get clean && rm -rf /var/lib/apt/lists/* && git lfs install # buildkit
# 2025-01-02 15:51:31 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2025-01-02 15:51:31 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2025-01-02 15:51:31 0.00B 设置环境变量 LANG LC_ALL
ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
# 2025-01-02 15:51:31 0.00B 设置环境变量 VENV
ENV VENV=cosyvoice
# 2025-01-02 15:51:31 0.00B 定义构建参数
ARG VENV_NAME=cosyvoice
# 2023-11-10 13:52:16 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 13:52:16 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.0.131
# 2023-11-10 13:52:16 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:52:16 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:52:16 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 13:52:16 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 13:52:16 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-11-10 13:52:16 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.0.131
# 2023-11-10 13:25:51 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 13:25:51 385.69KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 13:25:51 4.79GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-1=${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 13:25:51 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:25:51 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:25:51 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 13:25:51 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 13:25:51 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 13:25:51 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-1=12.1.105-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.105-1
# 2023-11-10 13:25:51 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=12.1.1-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.1-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.3.1-1
# 2023-11-10 13:25:51 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 13:25:51 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.1.0.40-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.105-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.1.105-1
# 2023-11-10 13:25:51 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
# 2023-11-10 13:13:35 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 13:13:35 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 13:13:35 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 13:13:35 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 13:13:35 261.40KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 13:13:35 2.01GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${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 13:13:35 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:13:35 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:13:35 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 13:13:35 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.3.1-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.1.0.106-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.1.0.40-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.105-1
# 2023-11-10 13:13:35 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.1-1
# 2023-11-10 13:08:12 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 13:08:12 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 13:08:12 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 13:08:12 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 13:08:12 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 13:08:12 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 13:08:11 149.59MB 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} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:07:58 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.1
# 2023-11-10 13:07:58 10.56MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${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 13:07:58 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:07:58 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:07:58 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
# 2023-11-10 13:07:58 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.105-1
# 2023-11-10 13:07:58 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 13:07:58 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": "sha256:34e2a62db0e2b238a3940464bdf3bde05686bb340ae4100db33013132c7cf494",
"RepoTags": [
"podwide/cosyvoice:v2.0.0",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/podwide/cosyvoice:v2.0.0"
],
"RepoDigests": [
"podwide/cosyvoice@sha256:d393447949f0aaab9b38aa90d930738027b9ffd21cf15f36e185aa8d846dda49",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/podwide/cosyvoice@sha256:5b217ff52691dd8b56e1a48e87280a0847070511ecee78dfa59bd427af92f318"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-01-02T00:14:48.40749605-08:00",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/opt/conda/bin:/opt/conda/envs/cosyvoice/bin:/opt/conda/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=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=12.1.105-1",
"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1",
"CUDA_VERSION=12.1.1",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.1.1-1",
"NV_NVTX_VERSION=12.1.105-1",
"NV_LIBNPP_VERSION=12.1.0.40-1",
"NV_LIBNPP_PACKAGE=libnpp-12-1=12.1.0.40-1",
"NV_LIBCUSPARSE_VERSION=12.1.0.106-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
"NV_LIBCUBLAS_VERSION=12.1.3.1-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.3.1-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1",
"NCCL_VERSION=2.17.1-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.17.1-1+cuda12.1",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=12.1.105-1",
"NV_NVML_DEV_VERSION=12.1.105-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.1.0.106-1",
"NV_LIBNPP_DEV_VERSION=12.1.0.40-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.1.0.40-1",
"NV_LIBCUBLAS_DEV_VERSION=12.1.3.1-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1",
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