PATH=/usr/local/cuda/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>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
NV_CUDA_CUDART_VERSION=12.4.127-1
NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
CUDA_VERSION=12.4.1
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
NVIDIA_VISIBLE_DEVICES=all
NVIDIA_DRIVER_CAPABILITIES=compute,utility
NV_CUDA_LIB_VERSION=12.4.1-1
NV_NVTX_VERSION=12.4.127-1
NV_LIBNPP_VERSION=12.2.5.30-1
NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
NV_LIBCUSPARSE_VERSION=12.3.1.170-1
NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
NV_LIBCUBLAS_VERSION=12.4.5.8-1
NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
NV_LIBNCCL_PACKAGE_NAME=libnccl2
NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
NCCL_VERSION=2.21.5-1
NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
NVIDIA_PRODUCT_NAME=CUDA
NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
NV_NVML_DEV_VERSION=12.4.127-1
NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
NV_LIBNPP_DEV_VERSION=12.2.5.30-1
NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
NV_NVPROF_VERSION=12.4.127-1
NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
LIBRARY_PATH=/usr/local/cuda/lib64/stubs
DEBIAN_FRONTEND=noninteractive
CUDA_HOME=/usr/local/cuda
TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6+PTX
镜像构建历史
# 2025-01-17 16:03:00 21.73MB
/bin/sh -c pip install --upgrade yt-dlp
# 2025-01-17 16:02:53 279.76KB
/bin/sh -c #(nop) COPY dir:90a212e6278fbaee6c5587abd7a6843f044fc0dc5d2965eeba9923355c6c69d8 in ./core
# 2025-01-17 16:02:51 20.47KB
/bin/sh -c #(nop) COPY file:f11ef453614cca13c49614681cd4dbb7d1e6cbb764926c1d52d229294e06407b in .
# 2025-01-08 19:43:40 279.77KB
/bin/sh -c #(nop) COPY dir:b56032d099d06e43e908488d0e4769f6defa7e7d0acab49d582022c6e8413590 in ./core
# 2025-01-08 19:43:38 17.55KB
/bin/sh -c #(nop) COPY file:a088d9ca3304b8a4610886a3b02ed6e2282575f07edc39f055ac0169850aaae6 in .
# 2025-01-05 15:28:59 3.09GB
/bin/sh -c #(nop) COPY dir:5be1401fa95ad65ad1b4787909c8db3545b3ed910f9aa47404b656609ae4799c in ./_model_cache/JhonVanced-whisper-large-v3-japanese-4k-steps-ct2
# 2025-01-03 16:01:22 0.00B
/bin/sh -c #(nop) CMD ["python3" "runpod_handle2.py"]
# 2025-01-03 16:01:22 46.44MB
/bin/sh -c #(nop) COPY dir:3435be04cb46413a8ec80cbd09d4f041c867d22d4627e995ece8279e8572035b in ./fonts
# 2025-01-03 16:01:22 279.11KB
/bin/sh -c #(nop) COPY dir:300a9b906e789e340365fed75f2fd76ef6db727b46e0adca1e1d0c19e671888b in ./core
# 2025-01-03 16:01:21 34.38MB
/bin/sh -c pip install --upgrade whisperx==3.2.0
# 2025-01-03 12:19:13 0.00B
/bin/sh -c pip install ffmpeg-python
# 2025-01-03 12:19:12 96.95KB
/bin/sh -c pip install runpod
# 2025-01-03 12:19:10 13.97KB
/bin/sh -c #(nop) COPY file:b5c680945ab6982e71c86004127a63ed46b76b54fd67091e32fc811c18f82cfb in .
# 2025-01-03 12:19:08 6.18GB
/bin/sh -c #(nop) COPY dir:60e4b9a496125a46c9fa8257e665538a244cf4ca69f60f83c2ebc9825043a5c0 in ./_model_cache
# 2024-12-25 18:50:47 158.96MB
/bin/sh -c apt-get update && apt-get install -y libmagic1 ffmpeg fonts-noto fonts-noto-cjk
# 2024-12-09 15:28:15 0.00B
/bin/sh -c #(nop) CMD ["python3" "runpod_handle.py"]
# 2024-12-09 15:28:14 1.28GB
/bin/sh -c mv _model_cache/models--jonatasgrosman--wav2vec2-large-xlsr-53-chinese-zh-cn /root/.cache/huggingface/hub/
# 2024-12-09 15:28:09 377.66MB
/bin/sh -c mv _model_cache/wav2vec2_fairseq_base_ls960_asr_ls960.pth /root/.cache/torch/hub/checkpoints/
# 2024-12-09 15:28:07 0.00B
/bin/sh -c mkdir -p /root/.cache/huggingface/hub/
# 2024-12-09 15:28:06 0.00B
/bin/sh -c mkdir -p /root/.cache/torch/hub/checkpoints/
# 2024-12-09 15:28:05 283.81MB
/bin/sh -c pip install -r requirements.txt
# 2024-12-09 15:23:26 0.00B
/bin/sh -c apt-get install fonts-noto
# 2024-12-09 15:23:25 8.00GB
/bin/sh -c #(nop) COPY dir:fbf1fee9205c30080d9a732a3c2aa7cc49ed9894eb9cb60bbde659383c5c05c1 in .
# 2024-12-05 18:18:16 0.00B
/bin/sh -c #(nop) WORKDIR /app
# 2024-10-09 14:38:24 0.00B 设置默认要执行的命令
CMD ["streamlit" "run" "st.py"]
# 2024-10-09 14:38:24 0.00B 声明容器运行时监听的端口
EXPOSE map[8501/tcp:{}]
# 2024-10-09 14:38:24 0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6+PTX
# 2024-10-09 14:38:24 0.00B 定义构建参数
ARG TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6+PTX
# 2024-10-09 14:38:24 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-10-09 14:38:24 0.00B 设置环境变量 PATH
ENV PATH=/usr/local/cuda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
# 2024-10-09 14:38:24 0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
# 2024-10-09 14:38:24 5.84KB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c python3 -c "from core.config_utils import update_key; update_key('display_language', 'en_US')" # buildkit
# 2024-10-09 14:37:54 127.12MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c mkdir -p _model_cache/uvr5_weights && wget -O _model_cache/uvr5_weights/HP2_all_vocals.pth https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/e992cb1bc5d777fcddce20735a899219b1d46aba/uvr5_weights/HP2_all_vocals.pth && wget -O _model_cache/uvr5_weights/VR-DeEchoAggressive.pth https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoAggressive.pth # buildkit
# 2024-10-09 14:37:45 812.40MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c pip install --no-cache-dir -r requirements.txt # buildkit
# 2024-10-09 14:35:21 326.00B 复制新文件或目录到容器中
COPY requirements.txt . # buildkit
# 2024-10-09 14:35:21 1.02GB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c cd third_party/whisperX && pip install --no-cache-dir -e . # buildkit
# 2024-10-09 14:32:08 13.39MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple && pip install --no-cache-dir --upgrade pip requests rich ruamel.yaml # buildkit
# 2024-10-09 14:32:00 0.00B 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c rm -rf .git # buildkit
# 2024-10-09 14:31:59 6.82GB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c pip install torch==2.0.0 torchaudio==2.0.0 --index-url https://download.pytorch.org/whl/cu118 # buildkit
# 2024-10-09 11:54:48 16.39MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c git clone https://github.com/Huanshere/VideoLingo.git . # buildkit
# 2024-10-09 11:54:46 0.00B 设置工作目录为/app
WORKDIR /app
# 2024-10-09 11:54:46 62.07KB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c ldconfig /usr/local/cuda-$(echo $CUDA_VERSION | cut -d. -f1,2)/compat/ # buildkit
# 2024-10-09 11:54:45 0.00B 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-10-09 11:54:45 608.11MB 执行命令并创建新的镜像层
RUN |1 PYTHON_VERSION=3.10 /bin/sh -c sed -i 's/archive.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list && sed -i 's/security.ubuntu.com/mirrors.aliyun.com/g' /etc/apt/sources.list && apt-get update && apt-get install -y --no-install-recommends software-properties-common git curl sudo ffmpeg fonts-noto wget && add-apt-repository ppa:deadsnakes/ppa && apt-get update -y && apt-get install -y python${PYTHON_VERSION} python${PYTHON_VERSION}-dev python${PYTHON_VERSION}-venv && update-alternatives --install /usr/bin/python3 python3 /usr/bin/python${PYTHON_VERSION} 1 && update-alternatives --set python3 /usr/bin/python${PYTHON_VERSION} && ln -sf /usr/bin/python${PYTHON_VERSION}-config /usr/bin/python3-config && curl -sS https://bootstrap.pypa.io/get-pip.py | python${PYTHON_VERSION} && python3 --version && python3 -m pip --version # buildkit
# 2024-10-09 11:54:45 0.00B 定义构建参数
ARG PYTHON_VERSION=3.10
# 2024-10-09 11:54:45 0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
# 2024-04-23 07:55:35 0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs
# 2024-04-23 07:55:35 383.63KB 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} ${NV_LIBNCCL_DEV_PACKAGE_NAME} # buildkit
# 2024-04-23 07:55:34 4.96GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends libtinfo5 libncursesw5 cuda-cudart-dev-12-4=${NV_CUDA_CUDART_DEV_VERSION} cuda-command-line-tools-12-4=${NV_CUDA_LIB_VERSION} cuda-minimal-build-12-4=${NV_CUDA_LIB_VERSION} cuda-libraries-dev-12-4=${NV_CUDA_LIB_VERSION} cuda-nvml-dev-12-4=${NV_NVML_DEV_VERSION} ${NV_NVPROF_DEV_PACKAGE} ${NV_LIBNPP_DEV_PACKAGE} libcusparse-dev-12-4=${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
# 2024-04-23 07:55:34 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-04-23 07:55:34 0.00B 定义构建参数
ARG TARGETARCH
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE
ENV NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4
# 2024-04-23 07:55:34 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_VERSION
ENV NV_LIBNCCL_DEV_PACKAGE_VERSION=2.21.5-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNCCL_DEV_PACKAGE_NAME
ENV NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_NVPROF_DEV_PACKAGE
ENV NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_NVPROF_VERSION
ENV NV_NVPROF_VERSION=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE
ENV NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_NSIGHT_COMPUTE_VERSION
ENV NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE
ENV NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_PACKAGE_NAME
ENV NV_LIBCUBLAS_DEV_PACKAGE_NAME=libcublas-dev-12-4
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUBLAS_DEV_VERSION
ENV NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNPP_DEV_PACKAGE
ENV NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBNPP_DEV_VERSION
ENV NV_LIBNPP_DEV_VERSION=12.2.5.30-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_LIBCUSPARSE_DEV_VERSION
ENV NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_NVML_DEV_VERSION
ENV NV_NVML_DEV_VERSION=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_CUDART_DEV_VERSION
ENV NV_CUDA_CUDART_DEV_VERSION=12.4.127-1
# 2024-04-23 07:55:34 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
# 2024-04-23 07:47:16 0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
# 2024-04-23 07:47:16 0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
# 2024-04-23 07:47:16 2.53KB 复制新文件或目录到容器中
COPY nvidia_entrypoint.sh /opt/nvidia/ # buildkit
# 2024-04-23 07:47:16 3.06KB 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
# 2024-04-23 07:47:16 261.10KB 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} ${NV_LIBNCCL_PACKAGE_NAME} # buildkit
# 2024-04-23 07:47:15 2.05GB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends cuda-libraries-12-4=${NV_CUDA_LIB_VERSION} ${NV_LIBNPP_PACKAGE} cuda-nvtx-12-4=${NV_NVTX_VERSION} libcusparse-12-4=${NV_LIBCUSPARSE_VERSION} ${NV_LIBCUBLAS_PACKAGE} ${NV_LIBNCCL_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-04-23 07:47:15 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-04-23 07:47:15 0.00B 定义构建参数
ARG TARGETARCH
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE
ENV NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4
# 2024-04-23 07:47:15 0.00B 设置环境变量 NCCL_VERSION
ENV NCCL_VERSION=2.21.5-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_VERSION
ENV NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNCCL_PACKAGE_NAME
ENV NV_LIBNCCL_PACKAGE_NAME=libnccl2
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE
ENV NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUBLAS_VERSION
ENV NV_LIBCUBLAS_VERSION=12.4.5.8-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUBLAS_PACKAGE_NAME
ENV NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBCUSPARSE_VERSION
ENV NV_LIBCUSPARSE_VERSION=12.3.1.170-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNPP_PACKAGE
ENV NV_LIBNPP_PACKAGE=libnpp-12-4=12.2.5.30-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_LIBNPP_VERSION
ENV NV_LIBNPP_VERSION=12.2.5.30-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_NVTX_VERSION
ENV NV_NVTX_VERSION=12.4.127-1
# 2024-04-23 07:47:15 0.00B 设置环境变量 NV_CUDA_LIB_VERSION
ENV NV_CUDA_LIB_VERSION=12.4.1-1
# 2024-04-23 07:42:36 0.00B 设置环境变量 NVIDIA_DRIVER_CAPABILITIES
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
# 2024-04-23 07:42:36 0.00B 设置环境变量 NVIDIA_VISIBLE_DEVICES
ENV NVIDIA_VISIBLE_DEVICES=all
# 2024-04-23 07:42:36 17.29KB 复制新文件或目录到容器中
COPY NGC-DL-CONTAINER-LICENSE / # buildkit
# 2024-04-23 07:42:36 0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64
# 2024-04-23 07:42:36 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
# 2024-04-23 07:42:36 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
# 2024-04-23 07:42:36 155.93MB 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-12-4=${NV_CUDA_CUDART_VERSION} ${NV_CUDA_COMPAT_PACKAGE} && rm -rf /var/lib/apt/lists/* # buildkit
# 2024-04-23 07:42:24 0.00B 设置环境变量 CUDA_VERSION
ENV CUDA_VERSION=12.4.1
# 2024-04-23 07:42:24 18.32MB 执行命令并创建新的镜像层
RUN |1 TARGETARCH=amd64 /bin/sh -c apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/${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
# 2024-04-23 07:42:24 0.00B 添加元数据标签
LABEL maintainer=NVIDIA CORPORATION <cudatools@nvidia.com>
# 2024-04-23 07:42:24 0.00B 定义构建参数
ARG TARGETARCH
# 2024-04-23 07:42:24 0.00B 设置环境变量 NV_CUDA_COMPAT_PACKAGE
ENV NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4
# 2024-04-23 07:42:24 0.00B 设置环境变量 NV_CUDA_CUDART_VERSION
ENV NV_CUDA_CUDART_VERSION=12.4.127-1
# 2024-04-23 07:42:24 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
ENV NVIDIA_REQUIRE_CUDA=cuda>=12.4 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 brand=tesla,driver>=535,driver<536 brand=unknown,driver>=535,driver<536 brand=nvidia,driver>=535,driver<536 brand=nvidiartx,driver>=535,driver<536 brand=geforce,driver>=535,driver<536 brand=geforcertx,driver>=535,driver<536 brand=quadro,driver>=535,driver<536 brand=quadrortx,driver>=535,driver<536 brand=titan,driver>=535,driver<536 brand=titanrtx,driver>=535,driver<536
# 2024-04-23 07:42:24 0.00B 设置环境变量 NVARCH
ENV NVARCH=x86_64
# 2024-04-11 02:50:37 0.00B
/bin/sh -c #(nop) CMD ["/bin/bash"]
# 2024-04-11 02:50:37 72.81MB
/bin/sh -c #(nop) ADD file:ea2128e23dce0162557abadd80656bd5ae047d573095d1d4323eb4154490dfdc in /
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.version=20.04
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) LABEL org.opencontainers.image.ref.name=ubuntu
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) ARG LAUNCHPAD_BUILD_ARCH
# 2024-04-11 02:50:35 0.00B
/bin/sh -c #(nop) ARG RELEASE
镜像信息
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"tinyy/videolingo-runpod:cuda-burn3.6.2",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tinyy/videolingo-runpod:cuda-burn3.6.2"
],
"RepoDigests": [
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"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/tinyy/videolingo-runpod@sha256:232247b61684a3911513d78596144e06f4cca0a1d442c005000e43dd551b5017"
],
"Parent": "",
"Comment": "",
"Created": "2025-01-17T08:03:00.801015705Z",
"Container": "",
"ContainerConfig": null,
"DockerVersion": "24.0.7",
"Author": "",
"Config": {
"Hostname": "",
"Domainname": "",
"User": "",
"AttachStdin": false,
"AttachStdout": false,
"AttachStderr": false,
"ExposedPorts": {
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},
"Tty": false,
"OpenStdin": false,
"StdinOnce": false,
"Env": [
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"NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-4",
"CUDA_VERSION=12.4.1",
"LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
"NVIDIA_VISIBLE_DEVICES=all",
"NVIDIA_DRIVER_CAPABILITIES=compute,utility",
"NV_CUDA_LIB_VERSION=12.4.1-1",
"NV_NVTX_VERSION=12.4.127-1",
"NV_LIBNPP_VERSION=12.2.5.30-1",
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"NV_LIBCUSPARSE_VERSION=12.3.1.170-1",
"NV_LIBCUBLAS_PACKAGE_NAME=libcublas-12-4",
"NV_LIBCUBLAS_VERSION=12.4.5.8-1",
"NV_LIBCUBLAS_PACKAGE=libcublas-12-4=12.4.5.8-1",
"NV_LIBNCCL_PACKAGE_NAME=libnccl2",
"NV_LIBNCCL_PACKAGE_VERSION=2.21.5-1",
"NCCL_VERSION=2.21.5-1",
"NV_LIBNCCL_PACKAGE=libnccl2=2.21.5-1+cuda12.4",
"NVIDIA_PRODUCT_NAME=CUDA",
"NV_CUDA_CUDART_DEV_VERSION=12.4.127-1",
"NV_NVML_DEV_VERSION=12.4.127-1",
"NV_LIBCUSPARSE_DEV_VERSION=12.3.1.170-1",
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"NV_LIBNPP_DEV_PACKAGE=libnpp-dev-12-4=12.2.5.30-1",
"NV_LIBCUBLAS_DEV_VERSION=12.4.5.8-1",
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"NV_LIBCUBLAS_DEV_PACKAGE=libcublas-dev-12-4=12.4.5.8-1",
"NV_CUDA_NSIGHT_COMPUTE_VERSION=12.4.1-1",
"NV_CUDA_NSIGHT_COMPUTE_DEV_PACKAGE=cuda-nsight-compute-12-4=12.4.1-1",
"NV_NVPROF_VERSION=12.4.127-1",
"NV_NVPROF_DEV_PACKAGE=cuda-nvprof-12-4=12.4.127-1",
"NV_LIBNCCL_DEV_PACKAGE_NAME=libnccl-dev",
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"NV_LIBNCCL_DEV_PACKAGE=libnccl-dev=2.21.5-1+cuda12.4",
"LIBRARY_PATH=/usr/local/cuda/lib64/stubs",
"DEBIAN_FRONTEND=noninteractive",
"CUDA_HOME=/usr/local/cuda",
"TORCH_CUDA_ARCH_LIST=7.0 7.5 8.0 8.6+PTX"
],
"Cmd": [
"python3",
"runpod_handle2.py"
],
"Image": "sha256:9dd59bba1bbeed092bca4a73ec7ee5f4f8ce3ee61ca337eb1bf8668f9edb3c59",
"Volumes": null,
"WorkingDir": "/app",
"Entrypoint": [
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],
"OnBuild": null,
"Labels": {
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},
"Architecture": "amd64",
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"Size": 36137939026,
"GraphDriver": {
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