镜像构建历史
# 2026-06-09 07:04:35 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/entrypoint.sh"]
# 2026-06-09 07:04:35 0.00B 指定检查容器健康状态的命令
HEALTHCHECK {Test:[CMD-SHELL curl -sf http://localhost:${PORT}/health || exit 1] Interval:30s Timeout:10s StartPeriod:2m0s StartInterval:0s Retries:3}
# 2026-06-09 07:04:35 0.00B 声明容器运行时监听的端口
EXPOSE [80/tcp]
# 2026-06-09 07:04:35 0.00B 设置环境变量 MODEL_ID HOST PORT GPU_MEMORY_UTILIZATION MAX_MODEL_LEN HF_ENDPOINT
ENV MODEL_ID=Qwen/Qwen3-ASR-0.6B HOST=0.0.0.0 PORT=80 GPU_MEMORY_UTILIZATION=0.8 MAX_MODEL_LEN=8192 HF_ENDPOINT=https://huggingface.co
# 2026-06-09 07:04:35 391.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /entrypoint.sh # buildkit
# 2026-06-09 07:04:35 391.00B 复制新文件或目录到容器中
COPY entrypoint.sh /entrypoint.sh # buildkit
# 2026-01-29 18:18:30 0.00B 声明容器运行时监听的端口
EXPOSE map[80/tcp:{}]
# 2026-01-29 18:18:30 0.00B 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive BUNDLE_FLASH_ATTENTION=true /bin/sh -c rm -rf /root/.cache/pip # buildkit
# 2026-01-29 18:18:30 1.43GB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive BUNDLE_FLASH_ATTENTION=true /bin/sh -c if [ "$BUNDLE_FLASH_ATTENTION" = "true" ]; then pip3 install -U flash-attn --no-build-isolation git+https://github.com/Dao-AILab/flash-attention.git; fi # buildkit
# 2026-01-29 17:58:40 10.44GB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive BUNDLE_FLASH_ATTENTION=true /bin/sh -c pip3 install -U "qwen-asr[vllm]==0.0.4" # buildkit
# 2026-01-29 16:05:05 1.68MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive BUNDLE_FLASH_ATTENTION=true /bin/sh -c apt remove python3-blinker -y # buildkit
# 2026-01-29 16:05:04 16.13MB 执行命令并创建新的镜像层
RUN |2 DEBIAN_FRONTEND=noninteractive BUNDLE_FLASH_ATTENTION=true /bin/sh -c pip3 install -U pip setuptools wheel # buildkit
# 2026-01-29 16:05:02 0.00B 定义构建参数
ARG BUNDLE_FLASH_ATTENTION=true
# 2026-01-29 16:05:02 0.00B 设置环境变量 CCACHE_DIR
ENV CCACHE_DIR=/root/.cache/ccache
# 2026-01-29 16:05:02 0.00B 设置环境变量 NVCC_THREADS
ENV NVCC_THREADS=2
# 2026-01-29 16:05:02 0.00B 设置环境变量 MAX_JOBS
ENV MAX_JOBS=32
# 2026-01-29 16:05:02 0.00B 设置工作目录为/data/shared/Qwen3-ASR
WORKDIR /data/shared/Qwen3-ASR
# 2026-01-29 16:05:02 126.00B 执行命令并创建新的镜像层
RUN |1 DEBIAN_FRONTEND=noninteractive /bin/sh -c git lfs install # buildkit
# 2026-01-29 16:05:02 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
# 2026-01-29 16:05:01 135.03MB 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
# 2026-01-29 16:04:57 6.74GB 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 \
ca-certificates \
&& rm -rf /var/lib/apt/lists/*
# buildkit
# 2026-01-29 16:04:57 0.00B 定义构建参数
ARG DEBIAN_FRONTEND=noninteractive
# 2025-01-25 09:17:40 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2025-01-25 09:17:40 389.49KB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-mark hold ${NV_LIBCUBLAS_DEV_PACKAGE_NAME} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2025-01-25 09:17:39 5.96GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-cudart-dev-12-8=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-8=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-8=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-8=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-8=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-8=${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
# 2025-01-25 09:17:39 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-01-25 09:17:39 0.00B 定义构建参数
ARG TARGETARCH
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.25.1-1+cuda12.8
# 2025-01-25 09:17:39 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.25.1-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-8=12.8.57-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.8.57-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-8=12.8.0-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.8.0-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-8=12.8.3.14-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-8
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.8.3.14-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-8=12.3.3.65-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.3.3.65-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.5.7.53-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.8.55-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.8.57-1
# 2025-01-25 09:17:39 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.0-1
# 2025-01-27 07:06:37 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2025-01-27 07:06:37 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2025-01-27 07:06:37 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2025-01-27 07:06:37 263.00KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2025-01-27 07:06:37 3.13GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-8=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-8=${NV_NVTX_VERSION} libcusparse-12-8=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-27 07:06:37 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-01-27 07:06:37 0.00B 定义构建参数
ARG TARGETARCH
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.25.1-1+cuda12.8
# 2025-01-27 07:06:37 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.25.1-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.25.1-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-8=12.8.3.14-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.8.3.14-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-8
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.5.7.53-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-8=12.3.3.65-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.3.3.65-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.8.55-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.8.0-1
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2025-01-27 07:06:37 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2025-01-27 07:06:37 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2025-01-27 07:06:37 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
# 2025-01-27 07:06:37 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
# 2025-01-27 07:06:37 203.16MB 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-12-8=${NV_CUDA_CUDART_VERSION} cuda-compat-12-8 && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-27 07:06:37 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.8.0
# 2025-01-27 07:06:37 10.60MB 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 gnupg2 curl ca-certificates && curl -fsSLO https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/${NVARCH}/cuda-keyring_1.1-1_all.deb && dpkg -i cuda-keyring_1.1-1_all.deb && apt-get purge --autoremove -y curl && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-01-27 07:06:37 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2025-01-27 07:06:37 0.00B 定义构建参数
ARG TARGETARCH
# 2025-01-27 07:06:37 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.8.57-1
# 2025-01-27 07:06:37 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 brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand brand 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>=12.8 brand=unknown,driver>=470,driver<471 brand=grid,driver>=470,driver<471 brand=tesla,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=vapps,driver>=470,driver<471 brand=vpc,driver>=470,driver<471 brand=vcs,driver>=470,driver<471 brand=vws,driver>=470,driver<471 brand=cloudgaming,driver>=470,driver<471 brand=unknown,driver>=535,driver<536 brand=grid,driver>=535,driver<536 brand=tesla,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=vapps,driver>=535,driver<536 brand=vpc,driver>=535,driver<536 brand=vcs,driver>=535,driver<536 brand=vws,driver>=535,driver<536 brand=cloudgaming,driver>=535,driver<536 brand=unknown,driver>=550,driver<551 brand=grid,driver>=550,driver<551 brand=tesla,driver>=550,driver<551 brand=nvidia,driver>=550,driver<551 brand=quadro,driver>=550,driver<551 brand=quadrortx,driver>=550,driver<551 brand=nvidiartx,driver>=550,driver<551 brand=vapps,driver>=550,driver<551 brand=vpc,driver>=550,driver<551 brand=vcs,driver>=550,driver<551 brand=vws,driver>=550,driver<551 brand=cloudgaming,driver>=550,driver<551 brand=unknown,driver>=560,driver<561 brand=grid,driver>=560,driver<561 brand=tesla,driver>=560,driver<561 brand=nvidia,driver>=560,driver<561 brand=quadro,driver>=560,driver<561 brand=quadrortx,driver>=560,driver<561 brand=nvidiartx,driver>=560,driver<561 brand=vapps,driver>=560,driver<561 brand=vpc,driver>=560,driver<561 brand=vcs,driver>=560,driver<561 brand=vws,driver>=560,driver<561 brand=cloudgaming,driver>=560,driver<561 brand=unknown,driver>=565,driver<566 brand=grid,driver>=565,driver<566 brand=tesla,driver>=565,driver<566 brand=nvidia,driver>=565,driver<566 brand=quadro,driver>=565,driver<566 brand=quadrortx,driver>=565,driver<566 brand=nvidiartx,driver>=565,driver<566 brand=vapps,driver>=565,driver<566 brand=vpc,driver>=565,driver<566 brand=vcs,driver>=565,driver<566 brand=vws,driver>=565,driver<566 brand=cloudgaming,driver>=565,driver<566
# 2025-01-27 07:06:37 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-09-12 00:25:18 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-09-12 00:25:17 77.86MB
/bin/sh -c #(nop) ADD file:ebe009f86035c175ba244badd298a2582914415cf62783d510eab3a311a5d4e1 in /
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=22.04
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-09-12 00:25:16 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
{
"Id": "sha256:0254d0f01c1c7fd7dd0471cfba3840234915b51f99e148dbe25c59e33bc238e2",
"RepoTags": [
"ghcr.io/hsiang-han/qwen3-asr-api:latest",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hsiang-han/qwen3-asr-api:latest"
],
"RepoDigests": [
"ghcr.io/hsiang-han/qwen3-asr-api@sha256:a342c52a16fc7d7d144923adb9014412b356a4ffb144f5b2735f46fe0a50c436",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/hsiang-han/qwen3-asr-api@sha256:2c826d9721a84b125f7657efd2b8d50c0b5ea7d1f0a13489d41703126b86090b"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-06-08T23:04:35.439022113Z",
"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": [
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