镜像构建历史
# 2024-06-17 15:27:46 0.00B 声明容器运行时监听的端口
EXPOSE map[80/tcp:{}]
# 2024-06-17 15:27:46 15.65KB 复制新文件或目录到容器中
COPY ../examples/demo/* ./ # buildkit
# 2024-06-17 15:27:46 18.46KB 复制新文件或目录到容器中
COPY ../examples/sft/* ./ # buildkit
# 2024-06-17 15:27:46 405.94MB 执行命令并创建新的镜像层
RUN |1 BUNDLE_FLASH_ATTENTION=true /bin/sh -c if [ "$BUNDLE_FLASH_ATTENTION" = "true" ]; then
pip3 install --no-cache-dir flash-attn==2.5.8 --no-build-isolation
fi
# buildkit
# 2024-06-06 21:44:13 0.00B 定义构建参数
ARG BUNDLE_FLASH_ATTENTION=true
# 2024-06-06 21:44:13 3.75GB 执行命令并创建新的镜像层
RUN |1 BUNDLE_VLLM=true /bin/sh -c if [ "$BUNDLE_VLLM" = "true" ]; then
cd /data/shared/Qwen
pip3 install --no-cache-dir vllm==0.4.3 "fschat[model_worker,webui]==0.2.36"
fi
# buildkit
# 2024-06-06 21:40:39 0.00B 定义构建参数
ARG BUNDLE_VLLM=true
# 2024-06-06 21:40:39 720.40MB 执行命令并创建新的镜像层
RUN |1 BUNDLE_FINETUNE=true /bin/sh -c if [ "$BUNDLE_FINETUNE" = "true" ]; then
cd /data/shared/Qwen
# Full-finetune / LoRA.
pip3 install --no-cache-dir "deepspeed==0.14.2" "peft==0.11.1"
# Q-LoRA.
apt update -y && DEBIAN_FRONTEND=noninteractive apt install -y --no-install-recommends \
libopenmpi-dev openmpi-bin \
&& rm -rf /var/lib/apt/lists/*
pip3 install --no-cache-dir "optimum==1.20.0" "auto-gptq==0.7.1" "autoawq==0.2.5" mpi4py
fi
# buildkit
# 2024-06-06 21:36:50 0.00B 定义构建参数
ARG BUNDLE_FINETUNE=true
# 2024-06-06 21:36:50 224.86MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-cache-dir transformers==4.40.2 accelerate tiktoken einops scipy # buildkit
# 2024-06-06 21:36:32 5.12GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip3 install --no-cache-dir torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu121 # buildkit
# 2024-06-06 21:31:09 12.75MB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir networkx==3.1 # buildkit
# 2024-06-06 21:31:06 0.00B 设置工作目录为/data/shared/Qwen/
WORKDIR /data/shared/Qwen/
# 2024-06-06 21:31:06 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /data/shared/Qwen # buildkit
# 2024-06-06 21:31:06 0.00B 设置工作目录为/
WORKDIR /
# 2024-06-06 21:31:06 126.00B 执行命令并创建新的镜像层
RUN /bin/sh -c git lfs install # buildkit
# 2024-06-06 21:31:06 16.00B 执行命令并创建新的镜像层
RUN /bin/sh -c ln -s /usr/bin/python3 /usr/bin/python # buildkit
# 2024-06-06 21:31:06 2.83GB 执行命令并创建新的镜像层
RUN /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 \
&& rm -rf /var/lib/apt/lists/*
# buildkit
# 2023-11-10 14:22:54 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 14:22:54 0.00B 添加元数据标签
LABEL com.nvidia.cudnn.version=8.9.0.131
# 2023-11-10 14:22:54 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:22:54 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:22:54 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 14:22:54 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 14:22:54 0.00B 设置环境变量 NV_CUDNN_PACKAGE_NAME
ENV NV_CUDNN_PACKAGE_NAME=libcudnn8
# 2023-11-10 14:22:54 0.00B 设置环境变量 NV_CUDNN_VERSION
ENV NV_CUDNN_VERSION=8.9.0.131
# 2023-11-10 14:00:22 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2023-11-10 14:00:22 379.43KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2023-11-10 14:00:19 4.79GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-12-1=${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 14:00:19 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 14:00:19 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 14:00:19 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 14:00:19 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 14:00:19 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 14:00:19 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2023-11-10 14:00:19 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 14:00:19 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.1.55-1
# 2023-11-10 14:00:19 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 14:00:19 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 14:00:19 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 14:00:19 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 14:00:19 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 14:00:19 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 14:00:19 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 14:00:19 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 14:00:19 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.1.55-1
# 2023-11-10 14:00:19 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 14:00:19 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:48:25 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2023-11-10 13:48:25 0.00B 设置环境变量 NVIDIA_CUDA_END_OF_LIFE
ENV NVIDIA_CUDA_END_OF_LIFE=1
# 2023-11-10 13:48:25 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2023-11-10 13:48:25 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2023-11-10 13:48:24 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 13:48:23 259.49KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2023-11-10 13:48:22 1.99GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-1=${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 13:48:22 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:48:22 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:48:22 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 13:48:22 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.17.1-1
# 2023-11-10 13:48:22 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.17.1-1
# 2023-11-10 13:48:22 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2023-11-10 13:48:22 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 13:48:22 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.1.0.26-1
# 2023-11-10 13:48:22 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1
# 2023-11-10 13:48:22 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.0.2.55-1
# 2023-11-10 13:48:22 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 13:48:22 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.0.2.50-1
# 2023-11-10 13:48:22 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.1.66-1
# 2023-11-10 13:48:22 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.1.0-1
# 2023-11-10 13:42:53 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2023-11-10 13:42:53 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2023-11-10 13:42:53 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2023-11-10 13:42:52 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 13:42:52 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 13:42:52 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 13:42:52 149.60MB 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} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:42:36 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.1.0
# 2023-11-10 13:42:36 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH}/3bf863cc.pub | apt-key add - && echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${NVARCH} /" > /etc/apt/sources.list.d/cuda.list && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2023-11-10 13:42:36 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2023-11-10 13:42:36 0.00B 定义构建参数
ARG TARGETARCH
# 2023-11-10 13:42:36 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-1
# 2023-11-10 13:42:36 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.1.55-1
# 2023-11-10 13:42:36 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 13:42:36 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2023-10-03 18:45:52 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2023-10-03 18:45:51 72.79MB
/bin/sh -c #(nop) ADD file:4809da414c2d478b4d991cbdaa2df457f2b3d07d0ff6cf673f09a66f90833e81 in /
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2023-10-03 18:45:50 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:50ac6a82f5281a3c17b5d8024377f72cd02913f7a125fb54a18f64864e0cb793",
"RepoTags": [
"qwenllm/qwen:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen:latest"
],
"RepoDigests": [
"qwenllm/qwen@sha256:a07be307f12423b3446371858bf19724ed1e58b22a2181df8baff1f2352c138b",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/qwenllm/qwen@sha256:6726c34969b19a49ac68177c7d92055997c000384a492d29417f4895be07e010"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2024-06-17T15:27:46.144120079+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",
"NV_NVTX_VERSION=12.1.66-1",
"NV_LIBNPP_VERSION=12.0.2.50-1",
"NV_LIBNPP_PACKAGE=libnpp-12-1=12.0.2.50-1",
"NV_LIBCUSPARSE_VERSION=12.0.2.55-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-1",
"NV_LIBCUBLAS_VERSION=12.1.0.26-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-1=12.1.0.26-1",
"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",
"NVIDIA_CUDA_END_OF_LIFE=1",
"NV_CUDA_CUDART_DEV_VERSION=12.1.55-1",
"NV_NVML_DEV_VERSION=12.1.55-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.0.2.55-1",
"NV_LIBNPP_DEV_VERSION=12.0.2.50-1",
"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-1=12.0.2.50-1",
"NV_LIBCUBLAS_DEV_VERSION=12.1.0.26-1",
"NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-1",
"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-1=12.1.0.26-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=12.1.0-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-1=12.1.0-1",
"NV_NVPROF_VERSION=12.1.55-1",
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