镜像构建历史
# 2025-02-03 13:43:15 0.00B 设置默认要执行的命令
CMD ["gunicorn" "-c" "gunicorn_config.py" "app:app"]
# 2025-02-03 13:43:15 0.00B 声明容器运行时监听的端口
EXPOSE map[23456/tcp:{}]
# 2025-02-03 13:43:15 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/app/entrypoint.sh"]
# 2025-02-03 13:43:15 244.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /app/entrypoint.sh # buildkit
# 2025-02-03 13:43:15 9.08MB 复制新文件或目录到容器中
COPY data /data_bak # buildkit
# 2025-02-03 13:43:15 52.80MB 复制新文件或目录到容器中
COPY . /app # buildkit
# 2025-02-01 17:07:19 2.04GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install gunicorn --no-cache-dir && pip install -r requirements.txt --no-cache-dir&& rm -rf /root/.cache/pip/* # buildkit
# 2025-02-01 17:05:41 1.13KB 复制新文件或目录到容器中
COPY requirements.txt /app/ # buildkit
# 2025-02-01 17:05:41 0.00B 设置环境变量 LD_PRELOAD
ENV LD_PRELOAD=/usr/local/lib/libjemalloc.so
# 2025-02-01 17:05:41 91.00MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://github.com/jemalloc/jemalloc/releases/download/5.3.0/jemalloc-5.3.0.tar.bz2 && tar -xvf jemalloc-5.3.0.tar.bz2 && cd jemalloc-5.3.0 && ./configure && make -j$(nproc) && make install && cd .. && rm -rf jemalloc-5.3.0* && ldconfig # buildkit
# 2025-02-01 17:05:01 95.62MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -yq build-essential espeak-ng cmake wget ca-certificates tzdata&& update-ca-certificates && apt-get clean && apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false && rm -rf /var/lib/apt/lists/* # buildkit
# 2025-02-01 17:05:01 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2025-02-01 16:06:01 0.00B 设置工作目录为/app
WORKDIR /app
# 2025-02-01 16:06:01 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /app # buildkit
# 2024-03-10 15:38:00 5.46GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install --no-cache-dir torch==${PYTORCH_VERSION}+${CUDA_VERSION} --extra-index-url https://download.pytorch.org/whl/${CUDA_VERSION} # buildkit
# 2024-03-10 15:36:45 0.00B 设置环境变量 CFLAGS
ENV CFLAGS=-I/usr/local/include/python3.10/
# 2024-03-10 15:36:45 14.76MB 执行命令并创建新的镜像层
RUN /bin/sh -c python -m ensurepip && python -m pip install --upgrade pip && ln -sf $(which pip) /usr/local/bin/pip3 && pip install wheel # buildkit
# 2024-03-10 15:36:41 229.33MB 执行命令并创建新的镜像层
RUN /bin/sh -c wget https://www.python.org/ftp/python/${PYTHON_VERSION}/Python-${PYTHON_VERSION}.tgz && tar xzf Python-${PYTHON_VERSION}.tgz && cd Python-${PYTHON_VERSION} && ./configure --enable-optimizations && make -j$(nproc) altinstall && update-alternatives --install /usr/bin/python3 python3 /usr/local/bin/python${PYTHON_MAJOR}.${PYTHON_MINOR} 1 && update-alternatives --install /usr/bin/python python /usr/local/bin/python${PYTHON_MAJOR}.${PYTHON_MINOR} 1 && rm -rf /Python-${PYTHON_VERSION}.tgz /Python-${PYTHON_VERSION} # buildkit
# 2024-03-10 15:35:13 327.10MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get upgrade -y && apt-get install -y --no-install-recommends ca-certificates && apt-get install --no-install-recommends -y wget build-essential libssl-dev zlib1g-dev libreadline-dev libsqlite3-dev libexpat1-dev liblzma-dev libffi-dev libbz2-dev && apt-get autoremove -y && apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-03-10 15:35:13 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-03-10 15:35:13 0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
# 2024-03-10 15:35:13 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2024-03-10 15:35:13 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=cu118
# 2024-03-10 15:35:13 0.00B 设置环境变量 PYTORCH_VERSION
ENV PYTORCH_VERSION=2.2.1
# 2024-03-10 15:35:13 0.00B 设置环境变量 PYTHON_MINOR
ENV PYTHON_MINOR=10
# 2024-03-10 15:35:13 0.00B 设置环境变量 PYTHON_MAJOR
ENV PYTHON_MAJOR=3
# 2024-03-10 15:35:13 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.10.11
# 2024-03-10 15:35:13 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 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
{
"Id": "sha256:93ca2df2dafd4b93ae9b09bade366c797ec70ae07042008b278f7ee2e9fdaf3e",
"RepoTags": [
"artrajz/vits-simple-api:v0.6.16-gpu",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/artrajz/vits-simple-api:v0.6.16-gpu"
],
"RepoDigests": [
"artrajz/vits-simple-api@sha256:46cad0f04b4887411245f2ee50c949476ede2f71a563954ab2f61479c7026b21",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/artrajz/vits-simple-api@sha256:fe6ad975ad1aa5633868c1202b3d9cf036ebe0e1f570ec04811d682bb30c9834"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2025-02-03T05:43:15.245736682Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
"23456/tcp": {}
},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
"PATH=/usr/local/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=cu118",
"LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"DEBIAN_FRONTEND=noninteractive",
"PYTHON_VERSION=3.10.11",
"PYTHON_MAJOR=3",
"PYTHON_MINOR=10",
"PYTORCH_VERSION=2.2.1",
"LANG=C.UTF-8",
"LC_ALL=C.UTF-8",
"CFLAGS=-I/usr/local/include/python3.10/",
"LD_PRELOAD=/usr/local/lib/libjemalloc.so"
],
"Cmd": [
"gunicorn",
"-c",
"gunicorn_config.py",
"app:app"
],
"ArgsEscaped": true,
"Image": "",
"Volumes": null,
"WorkingDir": "/app",
"Entrypoint": [
"/app/entrypoint.sh"
],
"OnBuild": null,
"Labels": {
"maintainer": "NVIDIA CORPORATION \u003ccudatools@nvidia.com\u003e",
"org.opencontainers.image.ref.name": "ubuntu",
"org.opencontainers.image.version": "22.04"
}
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"Architecture": "amd64",
"Os": "linux",
"Size": 8558387624,
"GraphDriver": {
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"WorkDir": "/var/lib/docker/overlay2/007a6a943574864bf67d7ca5094fd78c1a7ec999a804ec23f0cdde364e578b2b/work"
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