docker.io/soar97/triton-cosyvoice:25.06 linux/amd64

docker.io/soar97/triton-cosyvoice:25.06 - 国内下载镜像源 浏览次数:20
源镜像 docker.io/soar97/triton-cosyvoice:25.06
国内镜像 swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06
镜像ID sha256:c9759765dfac64c47206175bef8d2a1c4ed5fb5a9539af549fab875b94d23b31
镜像TAG 25.06
大小 38.01GB
镜像源 docker.io
项目信息 Docker-Hub主页 🚀项目TAG 🚀
CMD
启动入口 /opt/nvidia/nvidia_entrypoint.sh
工作目录 /workspace
OS/平台 linux/amd64
浏览量 20 次
贡献者 31*******4@qq.com
镜像创建 2025-07-22T06:48:20.169366824-07:00
同步时间 2025-10-21 01:12
更新时间 2025-10-21 17:16
环境变量
PATH=/opt/tritonserver/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=50.0 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 OPAL_PREFIX=/opt/hpcx/ompi OMPI_MCA_coll_hcoll_enable=0 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0 NCCL_VERSION=2.26.3 CUBLAS_VERSION=12.9.0.2 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSPARSELT_VERSION=0.7.1.0 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.9.0.52 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.10.0.31 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.2.1.130 NSIGHT_COMPUTE_VERSION=2025.2.0.11 DALI_VERSION=1.48.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.2 MODEL_OPT_VERSION=0.25.0 LD_LIBRARY_PATH=/usr/local/tensorrt/lib/:/opt/tritonserver/backends/tensorrtllm:/usr/local/tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video NVIDIA_PRODUCT_NAME=Triton Server LIBRARY_PATH=/usr/local/cuda/lib64/stubs: CUDA_VER=12.9.0.036 NVRTC_VER=12.9.41-1 PIP_BREAK_SYSTEM_PACKAGES=1 TRT_ROOT=/usr/local/tensorrt TRITON_SERVER_VERSION=2.59.0 NVIDIA_TRITON_SERVER_VERSION=25.06 UCX_MEM_EVENTS=no TF_ADJUST_HUE_FUSED=1 TF_ADJUST_SATURATION_FUSED=1 TF_ENABLE_WINOGRAD_NONFUSED=1 TF_AUTOTUNE_THRESHOLD=2 TRITON_SERVER_GPU_ENABLED=1 TRITON_SERVER_USER=triton-server DEBIAN_FRONTEND=noninteractive TCMALLOC_RELEASE_RATE=200 DCGM_VERSION=3.3.6 NVIDIA_BUILD_ID=179868725
镜像标签
true: com.amazonaws.sagemaker.capabilities.accept-bind-to-port true: com.amazonaws.sagemaker.capabilities.multi-models 179868725: com.nvidia.build.id 7a14b7925e0195aab82a319261751f73c3e2369b: com.nvidia.build.ref 0.4.4.50: com.nvidia.cal.version 12.9.0.2: com.nvidia.cublas.version 0.4.0.789: com.nvidia.cublasmp.version 9.0: com.nvidia.cuda.version 9.9.0.52: com.nvidia.cudnn.version 11.4.0.6: com.nvidia.cufft.version 10.3.10.19: com.nvidia.curand.version 11.7.4.40: com.nvidia.cusolver.version 12.5.9.5: com.nvidia.cusparse.version 0.7.1.0: com.nvidia.cusparselt.version 2.26.3: com.nvidia.nccl.version 12.4.0.27: com.nvidia.npp.version 2025.2.0.11: com.nvidia.nsightcompute.version 2025.2.1.130: com.nvidia.nsightsystems.version 12.4.0.16: com.nvidia.nvjpeg.version 10.9.0.34+cuda12.8: com.nvidia.tensorrt.version : com.nvidia.tensorrtoss.version 2.59.0: com.nvidia.tritonserver.version nvidia_driver: com.nvidia.volumes.needed ubuntu: org.opencontainers.image.ref.name 24.04: org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06  docker.io/soar97/triton-cosyvoice:25.06

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06  docker.io/soar97/triton-cosyvoice:25.06

Shell快速替换命令

sed -i 's#soar97/triton-cosyvoice:25.06#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06  docker.io/soar97/triton-cosyvoice:25.06'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06  docker.io/soar97/triton-cosyvoice:25.06'

镜像构建历史


# 2025-07-22 21:48:20  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-07-22 21:48:20  1.88GB 执行命令并创建新的镜像层
RUN /bin/sh -c pip install -r /workspace/requirements.txt # buildkit
                        
# 2025-07-22 21:47:24  135.00B 复制新文件或目录到容器中
COPY ./requirements.txt /workspace/requirements.txt # buildkit
                        
# 2025-07-22 21:45:57  678.46MB 执行命令并创建新的镜像层
RUN /bin/sh -c git clone https://github.com/pytorch/audio.git && cd audio && git checkout c670ad8 && PATH=/usr/local/cuda/bin:$PATH python3 setup.py develop # buildkit
                        
# 2025-07-22 21:31:04  104.41MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y cmake # buildkit
                        
# 2025-06-19 06:28:56  75.93MB 复制新文件或目录到容器中
COPY /opt/hpcx/ompi /opt/hpcx/ompi # buildkit
                        
# 2025-06-19 06:28:55  0.00B 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c rm -fr /opt/hpcx/ompi # buildkit
                        
# 2025-06-19 06:28:55  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/tensorrt/lib/:/opt/tritonserver/backends/tensorrtllm:/usr/local/tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-06-19 06:28:55  24.77MB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c ldconfig &&     ARCH="$(uname -i)" &&     rm -fr ${TRT_ROOT}/bin ${TRT_ROOT}/targets/${ARCH}-linux-gnu/bin ${TRT_ROOT}/data &&     rm -fr ${TRT_ROOT}/doc ${TRT_ROOT}/onnx_graphsurgeon ${TRT_ROOT}/python &&     rm -fr ${TRT_ROOT}/samples ${TRT_ROOT}/targets/${ARCH}-linux-gnu/samples &&     pip3 install --no-cache-dir transformers &&     find /usr -name libtensorrt_llm.so -exec dirname {} \; > /etc/ld.so.conf.d/tensorrt-llm.conf &&     find /opt/tritonserver -name libtritonserver.so -exec dirname {} \; > /etc/ld.so.conf.d/triton-tensorrtllm-worker.conf &&     pip3 install --no-cache-dir  grpcio-tools==1.64.0 &&     pip3 uninstall -y setuptools # buildkit
                        
# 2025-06-19 06:28:47  8.85KB 复制新文件或目录到容器中
COPY --chown=1000:1000 docker/sagemaker/serve /usr/bin/. # buildkit
                        
# 2025-06-19 06:28:47  0.00B 添加元数据标签
LABEL com.amazonaws.sagemaker.capabilities.multi-models=true
                        
# 2025-06-19 06:28:47  0.00B 添加元数据标签
LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
                        
# 2025-06-19 06:28:47  6.03MB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c pip3 install -r python/openai/requirements.txt # buildkit
                        
# 2025-06-19 06:28:43  366.09MB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c find /opt/tritonserver/python -maxdepth 1 -type f -name     "tritonserver-*.whl" | xargs -I {} pip install --upgrade {}[all] &&     find /opt/tritonserver/python -maxdepth 1 -type f -name     "tritonfrontend-*.whl" | xargs -I {} pip install --upgrade {}[all] # buildkit
                        
# 2025-06-19 06:28:34  3.01MB 复制新文件或目录到容器中
COPY --chown=1000:1000 NVIDIA_Deep_Learning_Container_License.pdf . # buildkit
                        
# 2025-06-19 06:28:34  0.00B 设置工作目录为/opt/tritonserver
WORKDIR /opt/tritonserver
                        
# 2025-06-19 06:28:34  543.80MB 复制新文件或目录到容器中
COPY --chown=1000:1000 build/install tritonserver # buildkit
                        
# 2025-06-19 06:28:34  0.00B 设置工作目录为/opt
WORKDIR /opt
                        
# 2025-06-19 06:28:34  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=7a14b7925e0195aab82a319261751f73c3e2369b
                        
# 2025-06-19 06:28:34  0.00B 添加元数据标签
LABEL com.nvidia.build.id=179868725
                        
# 2025-06-19 06:28:34  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=179868725
                        
# 2025-06-19 06:28:34  733.00B 复制新文件或目录到容器中
COPY docker/entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-06-19 06:28:34  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=Triton Server
                        
# 2025-06-19 06:28:34  0.00B 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c rm -fr /opt/tritonserver/* # buildkit
                        
# 2025-06-19 06:28:33  0.00B 设置工作目录为/opt/tritonserver
WORKDIR /opt/tritonserver
                        
# 2025-06-19 06:28:33  5.56MB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c apt-get update     && apt-get install -y --no-install-recommends         openssh-client     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-19 06:28:25  79.60MB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c apt-get update       && apt-get install -y --no-install-recommends             python3             libarchive-dev             python3-pip             python3-wheel             python3-setuptools             libpython3-dev       && pip3 install --upgrade             "numpy<2"             virtualenv       && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-19 06:28:16  60.26KB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib     && echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf     && ldconfig     && rm -f ${_CUDA_COMPAT_PATH}/lib # buildkit
                        
# 2025-06-19 06:28:16  1.75GB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c curl -o /tmp/cuda-keyring.deb           https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2404/x86_64/cuda-keyring_1.1-1_all.deb       && apt install /tmp/cuda-keyring.deb       && rm /tmp/cuda-keyring.deb       && apt-get update       && apt-get install -y datacenter-gpu-manager=1:3.3.6 # buildkit
                        
# 2025-06-19 06:27:53  0.00B 设置环境变量 DCGM_VERSION
ENV DCGM_VERSION=3.3.6
                        
# 2025-06-19 06:27:53  0.00B 设置环境变量 TCMALLOC_RELEASE_RATE
ENV TCMALLOC_RELEASE_RATE=200
                        
# 2025-06-19 06:27:53  351.12MB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c apt-get update       && apt-get install -y --no-install-recommends               clang               curl               dirmngr               git               gperf               libb64-0d               libcurl4-openssl-dev               libgoogle-perftools-dev               libjemalloc-dev               libnuma-dev               software-properties-common               wget                              python3-pip       && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2025-06-19 06:27:29  4.49KB 执行命令并创建新的镜像层
RUN |2 TRITON_VERSION=2.59.0 TRITON_CONTAINER_VERSION=25.06 /bin/sh -c userdel tensorrt-server > /dev/null 2>&1 || true       && userdel ubuntu > /dev/null 2>&1 || true       && if ! id -u $TRITON_SERVER_USER > /dev/null 2>&1 ; then           useradd $TRITON_SERVER_USER;         fi       && [ `id -u $TRITON_SERVER_USER` -eq 1000 ]       && [ `id -g $TRITON_SERVER_USER` -eq 1000 ] # buildkit
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TRITON_SERVER_USER
ENV TRITON_SERVER_USER=triton-server
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TRITON_SERVER_GPU_ENABLED
ENV TRITON_SERVER_GPU_ENABLED=1
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TF_AUTOTUNE_THRESHOLD
ENV TF_AUTOTUNE_THRESHOLD=2
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TF_ENABLE_WINOGRAD_NONFUSED
ENV TF_ENABLE_WINOGRAD_NONFUSED=1
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TF_ADJUST_SATURATION_FUSED
ENV TF_ADJUST_SATURATION_FUSED=1
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TF_ADJUST_HUE_FUSED
ENV TF_ADJUST_HUE_FUSED=1
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 UCX_MEM_EVENTS
ENV UCX_MEM_EVENTS=no
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 PATH
ENV PATH=/opt/tritonserver/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
                        
# 2025-06-19 06:27:29  0.00B 添加元数据标签
LABEL com.nvidia.tritonserver.version=2.59.0
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 NVIDIA_TRITON_SERVER_VERSION
ENV NVIDIA_TRITON_SERVER_VERSION=25.06
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 TRITON_SERVER_VERSION
ENV TRITON_SERVER_VERSION=2.59.0
                        
# 2025-06-19 06:27:29  0.00B 定义构建参数
ARG TRITON_CONTAINER_VERSION=25.06
                        
# 2025-06-19 06:27:29  0.00B 定义构建参数
ARG TRITON_VERSION=2.59.0
                        
# 2025-06-19 06:27:29  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2025-06-19 06:02:50  9.22MB 复制新文件或目录到容器中
COPY /workspace/tensorrt_llm/examples examples # buildkit
                        
# 2025-06-19 06:02:50  23.04MB 复制新文件或目录到容器中
COPY /workspace/tensorrt_llm/triton_backend/tools tools # buildkit
                        
# 2025-06-19 06:02:50  98.37KB 复制新文件或目录到容器中
COPY /workspace/tensorrt_llm/triton_backend/inflight_batcher_llm/client client # buildkit
                        
# 2025-06-19 06:02:50  507.38KB 复制新文件或目录到容器中
COPY /workspace/tensorrt_llm/triton_backend/all_models all_models # buildkit
                        
# 2025-06-19 06:02:50  7.37KB 复制新文件或目录到容器中
COPY /workspace/tensorrt_llm/triton_backend/scripts scripts # buildkit
                        
# 2025-06-19 06:02:50  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2025-06-19 06:02:50  7.28GB 执行命令并创建新的镜像层
RUN |11 TORCH_VER=2.7.0a0+79aa17489c.nv25.4 TORCHVISION_VER=0.22.0a0 SETUPTOOLS_VER=78.1.0 PYTORCH_TRITON_VER=3.2.0+git4b3bb1f8b.nvinternal JINJA2_VER=3.1.6 NETWORKX_VER=3.4.2 SYMPY_VER=1.13.3 PACKAGING_VER=23.2 FLASH_ATTN_VER=2.7.3 NVRTC_VER=12.9.41-1 TRT_VER=10.10.0.31 /bin/sh -c pip3 install --no-cache-dir tensorrt_llm*.whl     && rm -f tensorrt_llm*.whl # buildkit
                        
# 2025-06-19 06:01:33  3.70GB 复制新文件或目录到容器中
COPY /workspace/tensorrt_llm/build/tensorrt_llm*whl . # buildkit
                        
# 2025-06-19 05:06:58  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2025-06-19 05:06:58  0.00B 设置环境变量 TRT_ROOT
ENV TRT_ROOT=/usr/local/tensorrt
                        
# 2025-06-19 05:06:58  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-06-19 05:06:58  0.00B 设置环境变量 TRT_VERSION
ENV TRT_VERSION=10.10.0.31
                        
# 2025-06-19 05:06:58  0.00B 定义构建参数
ARG TRT_VER=10.10.0.31
                        
# 2025-06-19 05:06:58  4.87MB 执行命令并创建新的镜像层
RUN |10 TORCH_VER=2.7.0a0+79aa17489c.nv25.4 TORCHVISION_VER=0.22.0a0 SETUPTOOLS_VER=78.1.0 PYTORCH_TRITON_VER=3.2.0+git4b3bb1f8b.nvinternal JINJA2_VER=3.1.6 NETWORKX_VER=3.4.2 SYMPY_VER=1.13.3 PACKAGING_VER=23.2 FLASH_ATTN_VER=2.7.3 NVRTC_VER=12.9.41-1 /bin/sh -c pip3 install /usr/local/tensorrt/python/tensorrt-*-cp$( python3 -c "import sys; print(str(sys.version_info.major) + str(sys.version_info.minor))" )* # buildkit
                        
# 2025-06-19 05:06:58  3.38GB 复制新文件或目录到容器中
COPY /usr/local/tensorrt /usr/local/tensorrt # buildkit
                        
# 2025-06-19 05:05:28  260.90MB 执行命令并创建新的镜像层
RUN |10 TORCH_VER=2.7.0a0+79aa17489c.nv25.4 TORCHVISION_VER=0.22.0a0 SETUPTOOLS_VER=78.1.0 PYTORCH_TRITON_VER=3.2.0+git4b3bb1f8b.nvinternal JINJA2_VER=3.1.6 NETWORKX_VER=3.4.2 SYMPY_VER=1.13.3 PACKAGING_VER=23.2 FLASH_ATTN_VER=2.7.3 NVRTC_VER=12.9.41-1 /bin/sh -c [ "$(uname -m)" != "x86_64" ] && arch="sbsa" || arch="x86_64"     && curl -o /tmp/cuda-keyring.deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/$arch/cuda-keyring_1.0-1_all.deb     && apt install /tmp/cuda-keyring.deb     && rm /tmp/cuda-keyring.deb     && apt-get remove --purge -y --allow-change-held-packages cuda-nvrtc-dev*     && CUDA_VER_SHORT=${CUDA_VER: 0:4}     && NVRTC_CUDA_VERSION=${CUDA_VER_SHORT/./-}     && apt-get update -qq     && apt-get install -y --no-install-recommends cuda-nvrtc-dev-${NVRTC_CUDA_VERSION}=${NVRTC_VER}     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-06-19 05:05:20  120.01MB 执行命令并创建新的镜像层
RUN |10 TORCH_VER=2.7.0a0+79aa17489c.nv25.4 TORCHVISION_VER=0.22.0a0 SETUPTOOLS_VER=78.1.0 PYTORCH_TRITON_VER=3.2.0+git4b3bb1f8b.nvinternal JINJA2_VER=3.1.6 NETWORKX_VER=3.4.2 SYMPY_VER=1.13.3 PACKAGING_VER=23.2 FLASH_ATTN_VER=2.7.3 NVRTC_VER=12.9.41-1 /bin/sh -c apt-get update -q=2     && apt-get install -y --no-install-recommends         python3-dev         python3-pip         git-lfs     && apt-get purge -y "libnvinfer*"     && pip3 uninstall -y tensorrt     && rm -rf /var/lib/apt/lists/*     && pip3 install --no-cache-dir polygraphy==0.49.9 mpi4py==3.1.5 # buildkit
                        
# 2025-06-19 05:04:31  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2025-06-19 05:04:31  0.00B 设置环境变量 CUDA_VER NVRTC_VER
ENV CUDA_VER=12.9.0.036 NVRTC_VER=12.9.41-1
                        
# 2025-06-19 05:04:31  0.00B 定义构建参数
ARG NVRTC_VER=12.9.41-1
                        
# 2025-06-19 05:04:31  849.88MB 复制新文件或目录到容器中
COPY /usr/local/cuda/lib64/libcusparseLt* /usr/local/cuda/lib64/ # buildkit
                        
# 2025-06-19 05:04:30  1.44GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/flash_attn_2_cuda.cpython-312-*-linux-gnu.so /usr/local/lib/python3.12/dist-packages/ # buildkit
                        
# 2025-06-19 05:04:28  36.11KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/flash_attn-2.7.3.dist-info /usr/local/lib/python3.12/dist-packages/flash_attn-2.7.3.dist-info # buildkit
                        
# 2025-06-19 05:04:28  1.59MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/flash_attn /usr/local/lib/python3.12/dist-packages/flash_attn # buildkit
                        
# 2025-06-19 05:04:28  17.48KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/packaging-23.2.dist-info /usr/local/lib/python3.12/dist-packages/packaging-23.2.dist-info # buildkit
                        
# 2025-06-19 05:04:28  329.74KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/packaging /usr/local/lib/python3.12/dist-packages/packaging # buildkit
                        
# 2025-06-19 05:04:28  316.73KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/sympy-1.13.3.dist-info /usr/local/lib/python3.12/dist-packages/sympy-1.13.3.dist-info # buildkit
                        
# 2025-06-19 05:04:28  67.79MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/sympy /usr/local/lib/python3.12/dist-packages/sympy # buildkit
                        
# 2025-06-19 05:04:28  107.58KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/networkx-3.4.2.dist-info /usr/local/lib/python3.12/dist-packages/networkx-3.4.2.dist-info # buildkit
                        
# 2025-06-19 05:04:28  14.49MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/networkx /usr/local/lib/python3.12/dist-packages/networkx # buildkit
                        
# 2025-06-19 05:04:28  8.11KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/jinja2-3.1.6.dist-info /usr/local/lib/python3.12/dist-packages/jinja2-3.1.6.dist-info # buildkit
                        
# 2025-06-19 05:04:28  1.16MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/jinja2 /usr/local/lib/python3.12/dist-packages/jinja2 # buildkit
                        
# 2025-06-19 05:04:28  701.62MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/triton /usr/local/lib/python3.12/dist-packages/triton # buildkit
                        
# 2025-06-19 05:04:27  39.62KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/pytorch_triton-3.2.0+git4b3bb1f8b.nvinternal.dist-info /usr/local/lib/python3.12/dist-packages/pytorch_triton-3.2.0+git4b3bb1f8b.nvinternal.dist-info # buildkit
                        
# 2025-06-19 05:04:27  300.18KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/functorch /usr/local/lib/python3.12/dist-packages/functorch # buildkit
                        
# 2025-06-19 05:04:27  85.94KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/setuptools-78.1.0.dist-info /usr/local/lib/python3.12/dist-packages/setuptools-78.1.0.dist-info # buildkit
                        
# 2025-06-19 05:04:27  8.43MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/setuptools /usr/local/lib/python3.12/dist-packages/setuptools # buildkit
                        
# 2025-06-19 05:04:27  674.92KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/torchvision.libs /usr/local/lib/python3.12/dist-packages/torchvision.libs # buildkit
                        
# 2025-06-19 05:04:27  49.14KB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/torchvision-0.22.0a0.dist-info /usr/local/lib/python3.12/dist-packages/torchvision-0.22.0a0.dist-info # buildkit
                        
# 2025-06-19 05:04:27  20.70MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/torchvision /usr/local/lib/python3.12/dist-packages/torchvision # buildkit
                        
# 2025-06-19 05:04:27  3.28MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/torchgen /usr/local/lib/python3.12/dist-packages/torchgen # buildkit
                        
# 2025-06-19 05:04:27  1.87MB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/torch-2.7.0a0+79aa17489c.nv25.4.dist-info /usr/local/lib/python3.12/dist-packages/torch-2.7.0a0+79aa17489c.nv25.4.dist-info # buildkit
                        
# 2025-06-19 05:04:27  2.19GB 复制新文件或目录到容器中
COPY /usr/local/lib/python3.12/dist-packages/torch /usr/local/lib/python3.12/dist-packages/torch # buildkit
                        
# 2025-06-19 05:04:24  1.86GB 复制新文件或目录到容器中
COPY /usr/local/lib/lib* /usr/local/lib/ # buildkit
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG FLASH_ATTN_VER=2.7.3
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG PACKAGING_VER=23.2
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG SYMPY_VER=1.13.3
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG NETWORKX_VER=3.4.2
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG JINJA2_VER=3.1.6
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG PYTORCH_TRITON_VER=3.2.0+git4b3bb1f8b.nvinternal
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG SETUPTOOLS_VER=78.1.0
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG TORCHVISION_VER=0.22.0a0
                        
# 2025-06-19 05:04:24  0.00B 定义构建参数
ARG TORCH_VER=2.7.0a0+79aa17489c.nv25.4
                        
# 2025-04-16 00:59:31  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2025-04-16 00:59:31  1.01GB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEVEL=1 BASE=0  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUDA.sh  && /nvidia/build-scripts/installLIBS.sh  && if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then /nvidia/build-scripts/installNCCL.sh; fi  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -f "/tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch" ]; then patch -p0 < /tmp/cuda-${_CUDA_VERSION_MAJMIN}.patch; fi  && rm -f /tmp/cuda-*.patch # buildkit
                        
# 2025-04-16 00:56:13  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2025-04-16 00:56:13  99.01MB 执行命令并创建新的镜像层
RUN /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         build-essential         git         libglib2.0-0         less         libhwloc15         libnl-route-3-200         libnl-3-dev         libnl-route-3-dev         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-04-16 00:49:21  467.00B 执行命令并创建新的镜像层
RUN |39 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 NCCL_VERSION=2.26.3 CUBLAS_VERSION=12.9.0.2 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.9.0.52 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.9.0.34+cuda12.8 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.2.1.130 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.48.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.2 MODEL_OPT_VERSION=0.25.0 _LIBPATH_SUFFIX= /bin/sh -c mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt # buildkit
                        
# 2025-04-16 00:49:21  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-04-16 00:49:21  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-04-16 00:49:21  16.04KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2025-04-16 00:49:21  33.35KB 执行命令并创建新的镜像层
RUN |39 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 NCCL_VERSION=2.26.3 CUBLAS_VERSION=12.9.0.2 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.9.0.52 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.9.0.34+cuda12.8 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.2.1.130 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.48.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.2 MODEL_OPT_VERSION=0.25.0 _LIBPATH_SUFFIX= /bin/sh -c if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then            echo "/opt/amazon/aws-ofi-nccl/lib" > /etc/ld.so.conf.d/aws-ofi-nccl.conf       && ldconfig;                                                 fi # buildkit
                        
# 2025-04-16 00:49:21  5.11MB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2025-04-16 00:48:01  0.00B 设置环境变量 PATH LD_LIBRARY_PATH NVIDIA_VISIBLE_DEVICES NVIDIA_DRIVER_CAPABILITIES
ENV PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin LD_LIBRARY_PATH=/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVIDIA_VISIBLE_DEVICES=all NVIDIA_DRIVER_CAPABILITIES=compute,utility,video
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2025-04-16 00:48:01  46.00B 执行命令并创建新的镜像层
RUN |38 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 NCCL_VERSION=2.26.3 CUBLAS_VERSION=12.9.0.2 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.9.0.52 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.9.0.34+cuda12.8 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.2.1.130 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 DALI_VERSION=1.48.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.2 MODEL_OPT_VERSION=0.25.0 /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
                        
# 2025-04-16 00:48:01  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2025-04-16 00:48:01  0.00B 设置环境变量 DALI_VERSION DALI_BUILD DALI_URL_SUFFIX POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION
ENV DALI_VERSION=1.48.0 DALI_BUILD= DALI_URL_SUFFIX=120 POLYGRAPHY_VERSION=0.49.20 TRANSFORMER_ENGINE_VERSION=2.2 MODEL_OPT_VERSION=0.25.0
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG MODEL_OPT_VERSION=0.25.0
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG TRANSFORMER_ENGINE_VERSION=2.2
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG POLYGRAPHY_VERSION=0.49.20
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG DALI_URL_SUFFIX=120
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG DALI_BUILD=
                        
# 2025-04-16 00:48:01  0.00B 定义构建参数
ARG DALI_VERSION=1.48.0
                        
# 2025-04-16 00:48:01  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.26.3 com.nvidia.cublas.version=12.9.0.2 com.nvidia.cufft.version=11.4.0.6 com.nvidia.curand.version=10.3.10.19 com.nvidia.cusparse.version=12.5.9.5 com.nvidia.cusparselt.version=0.7.1.0 com.nvidia.cusolver.version=11.7.4.40 com.nvidia.npp.version=12.4.0.27 com.nvidia.nvjpeg.version=12.4.0.16 com.nvidia.cublasmp.version=0.4.0.789 com.nvidia.cal.version=0.4.4.50 com.nvidia.cudnn.version=9.9.0.52 com.nvidia.tensorrt.version=10.9.0.34+cuda12.8 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2025.2.1.130 com.nvidia.nsightcompute.version=2025.2.0.11
                        
# 2025-04-16 00:48:01  7.59GB 执行命令并创建新的镜像层
RUN |32 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 NCCL_VERSION=2.26.3 CUBLAS_VERSION=12.9.0.2 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.9.0.52 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.9.0.34+cuda12.8 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.2.1.130 NSIGHT_COMPUTE_VERSION=2025.2.0.11 CUSPARSELT_VERSION=0.7.1.0 /bin/sh -c /nvidia/build-scripts/installLIBS.sh  && /nvidia/build-scripts/installCUDNN.sh  && /nvidia/build-scripts/installTRT.sh  && /nvidia/build-scripts/installNSYS.sh  && /nvidia/build-scripts/installNCU.sh  && /nvidia/build-scripts/installCUSPARSELT.sh  && if [ -z "${JETPACK_HOST_MOUNTS}" ]; then       /nvidia/build-scripts/installNCCL.sh;     fi; # buildkit
                        
# 2025-04-16 00:46:55  0.00B 设置环境变量 NCCL_VERSION CUBLAS_VERSION CUFFT_VERSION CURAND_VERSION CUSPARSE_VERSION CUSPARSELT_VERSION CUSOLVER_VERSION NPP_VERSION NVJPEG_VERSION CUFILE_VERSION NVJITLINK_VERSION CUBLASMP_VERSION CAL_VERSION NVSHMEM_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION
ENV NCCL_VERSION=2.26.3 CUBLAS_VERSION=12.9.0.2 CUFFT_VERSION=11.4.0.6 CURAND_VERSION=10.3.10.19 CUSPARSE_VERSION=12.5.9.5 CUSPARSELT_VERSION=0.7.1.0 CUSOLVER_VERSION=11.7.4.40 NPP_VERSION=12.4.0.27 NVJPEG_VERSION=12.4.0.16 CUFILE_VERSION=1.14.0.30 NVJITLINK_VERSION=12.9.41 CUBLASMP_VERSION=0.4.0.789 CAL_VERSION=0.4.4.50 NVSHMEM_VERSION=3.2.5 CUDNN_VERSION=9.9.0.52 CUDNN_FRONTEND_VERSION=1.11.0 TRT_VERSION=10.9.0.34+cuda12.8 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.2.1.130 NSIGHT_COMPUTE_VERSION=2025.2.0.11
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUSPARSELT_VERSION=0.7.1.0
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NSIGHT_COMPUTE_VERSION=2025.2.0.11
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NSIGHT_SYSTEMS_VERSION=2025.2.1.130
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG TRTOSS_VERSION=
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG TRT_VERSION=10.9.0.34+cuda12.8
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUDNN_FRONTEND_VERSION=1.11.0
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUDNN_VERSION=9.9.0.52
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NVSHMEM_VERSION=3.2.5
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CAL_VERSION=0.4.4.50
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUBLASMP_VERSION=0.4.0.789
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NVJITLINK_VERSION=12.9.41
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUFILE_VERSION=1.14.0.30
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NVJPEG_VERSION=12.4.0.16
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NPP_VERSION=12.4.0.27
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUSOLVER_VERSION=11.7.4.40
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUSPARSE_VERSION=12.5.9.5
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CURAND_VERSION=10.3.10.19
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUFFT_VERSION=11.4.0.6
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG CUBLAS_VERSION=12.9.0.2
                        
# 2025-04-16 00:46:55  0.00B 定义构建参数
ARG NCCL_VERSION=2.26.3
                        
# 2025-04-16 00:46:55  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2025-04-16 00:46:55  0.00B 设置环境变量 _CUDA_COMPAT_PATH ENV BASH_ENV SHELL NVIDIA_REQUIRE_CUDA
ENV _CUDA_COMPAT_PATH=/usr/local/cuda/compat ENV=/etc/shinit_v2 BASH_ENV=/etc/bash.bashrc SHELL=/bin/bash NVIDIA_REQUIRE_CUDA=cuda>=9.0
                        
# 2025-04-16 00:46:55  59.18KB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2025-04-16 00:46:55  874.65MB 执行命令并创建新的镜像层
RUN |12 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-04-11 09:18:54  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION
ENV CUDA_VERSION=12.9.0.036 CUDA_DRIVER_VERSION=575.51.02
                        
# 2025-04-11 09:18:54  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=575.51.02
                        
# 2025-04-11 09:18:54  0.00B 定义构建参数
ARG CUDA_VERSION=12.9.0.036
                        
# 2025-04-11 09:18:54  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2025-04-11 09:18:54  0.00B 设置环境变量 OPAL_PREFIX PATH
ENV OPAL_PREFIX=/opt/hpcx/ompi PATH=/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin
                        
# 2025-04-11 09:18:54  230.02MB 执行命令并创建新的镜像层
RUN |10 JETPACK_HOST_MOUNTS= GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 RDMACORE_VERSION=50.0 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( export DEBIAN_FRONTEND=noninteractive        && apt-get update                            && apt-get install -y --no-install-recommends              libibverbs1                                  libibverbs-dev                               librdmacm1                                   librdmacm-dev                                libibumad3                                   libibumad-dev                                ibverbs-utils                                ibverbs-providers                     && rm -rf /var/lib/apt/lists/*               && rm $(dpkg-query -L                                    libibverbs-dev                               librdmacm-dev                                libibumad-dev                            | grep "\(\.so\|\.a\)$")          )                                            && ( cd opt/gdrcopy/                              && dpkg -i libgdrapi_*.deb                   )                                         && ( cp -r opt/hpcx /opt/                                         && cp etc/ld.so.conf.d/hpcx.conf /etc/ld.so.conf.d/          && ln -sf /opt/hpcx/ompi /usr/local/mpi                      && ln -sf /opt/hpcx/ucx  /usr/local/ucx                      && sed -i 's/^\(hwloc_base_binding_policy\) = core$/\1 = none/' /opt/hpcx/ompi/etc/openmpi-mca-params.conf         && sed -i 's/^\(btl = self\)$/#\1/'                             /opt/hpcx/ompi/etc/openmpi-mca-params.conf       )                                                         && ( if [ ! -f /etc/ld.so.conf.d/nvidia-tegra.conf ]; then           cd opt/amazon/efa/                                           && dpkg -i libfabric*.deb                                    && rm /opt/amazon/efa/lib/libfabric.a                        && echo "/opt/amazon/efa/lib" > /etc/ld.so.conf.d/efa.conf;         fi                                                         )                                                         && ldconfig # buildkit
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-04-11 09:18:47  0.00B 设置环境变量 GDRCOPY_VERSION HPCX_VERSION MOFED_VERSION OPENUCX_VERSION OPENMPI_VERSION RDMACORE_VERSION EFA_VERSION AWS_OFI_NCCL_VERSION
ENV GDRCOPY_VERSION=2.4.1 HPCX_VERSION=2.22.1 MOFED_VERSION=5.4-rdmacore50.0 OPENUCX_VERSION=1.18.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=50.0 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG EFA_VERSION=1.38.1
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.18.0
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore50.0
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG RDMACORE_VERSION=50.0
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG HPCX_VERSION=2.22.1
                        
# 2025-04-11 09:18:47  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.4.1
                        
# 2025-04-11 09:18:47  311.13MB 执行命令并创建新的镜像层
RUN |1 JETPACK_HOST_MOUNTS= /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         ca-certificates         curl         libncurses6         libncursesw6         patch         wget         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2025-04-11 09:18:30  0.00B 执行命令并创建新的镜像层
RUN |1 JETPACK_HOST_MOUNTS= /bin/sh -c if [ -n "${JETPACK_HOST_MOUNTS}" ]; then        echo "/usr/lib/aarch64-linux-gnu/tegra" > /etc/ld.so.conf.d/nvidia-tegra.conf     && echo "/usr/lib/aarch64-linux-gnu/tegra-egl" >> /etc/ld.so.conf.d/nvidia-tegra.conf;     fi # buildkit
                        
# 2025-04-11 09:18:30  0.00B 设置环境变量 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2025-04-11 09:18:30  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2025-04-08 18:43:15  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-04-08 18:43:14  78.10MB 
/bin/sh -c #(nop) ADD file:1d7c45546e94b90e941c5bf5c7a5d415d7b868581ad96171d4beb76caa8ab683 in / 
                        
# 2025-04-08 18:43:12  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-04-08 18:43:12  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-04-08 18:43:12  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-04-08 18:43:12  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:c9759765dfac64c47206175bef8d2a1c4ed5fb5a9539af549fab875b94d23b31",
    "RepoTags": [
        "soar97/triton-cosyvoice:25.06",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice:25.06"
    ],
    "RepoDigests": [
        "soar97/triton-cosyvoice@sha256:b8b6df1f4f4ef248ccb3639b8fc6af446b1e76bc8608f4aaf44e392cdc399a27",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/soar97/triton-cosyvoice@sha256:b8b6df1f4f4ef248ccb3639b8fc6af446b1e76bc8608f4aaf44e392cdc399a27"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2025-07-22T06:48:20.169366824-07:00",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/tritonserver/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/mpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/amazon/efa/bin",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "GDRCOPY_VERSION=2.4.1",
            "HPCX_VERSION=2.22.1",
            "MOFED_VERSION=5.4-rdmacore50.0",
            "OPENUCX_VERSION=1.18.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=50.0",
            "EFA_VERSION=1.38.1",
            "AWS_OFI_NCCL_VERSION=1.14.0",
            "OPAL_PREFIX=/opt/hpcx/ompi",
            "OMPI_MCA_coll_hcoll_enable=0",
            "CUDA_VERSION=12.9.0.036",
            "CUDA_DRIVER_VERSION=575.51.02",
            "_CUDA_COMPAT_PATH=/usr/local/cuda/compat",
            "ENV=/etc/shinit_v2",
            "BASH_ENV=/etc/bash.bashrc",
            "SHELL=/bin/bash",
            "NVIDIA_REQUIRE_CUDA=cuda\u003e=9.0",
            "NCCL_VERSION=2.26.3",
            "CUBLAS_VERSION=12.9.0.2",
            "CUFFT_VERSION=11.4.0.6",
            "CURAND_VERSION=10.3.10.19",
            "CUSPARSE_VERSION=12.5.9.5",
            "CUSPARSELT_VERSION=0.7.1.0",
            "CUSOLVER_VERSION=11.7.4.40",
            "NPP_VERSION=12.4.0.27",
            "NVJPEG_VERSION=12.4.0.16",
            "CUFILE_VERSION=1.14.0.30",
            "NVJITLINK_VERSION=12.9.41",
            "CUBLASMP_VERSION=0.4.0.789",
            "CAL_VERSION=0.4.4.50",
            "NVSHMEM_VERSION=3.2.5",
            "CUDNN_VERSION=9.9.0.52",
            "CUDNN_FRONTEND_VERSION=1.11.0",
            "TRT_VERSION=10.10.0.31",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2025.2.1.130",
            "NSIGHT_COMPUTE_VERSION=2025.2.0.11",
            "DALI_VERSION=1.48.0",
            "DALI_BUILD=",
            "DALI_URL_SUFFIX=120",
            "POLYGRAPHY_VERSION=0.49.20",
            "TRANSFORMER_ENGINE_VERSION=2.2",
            "MODEL_OPT_VERSION=0.25.0",
            "LD_LIBRARY_PATH=/usr/local/tensorrt/lib/:/opt/tritonserver/backends/tensorrtllm:/usr/local/tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64",
            "NVIDIA_VISIBLE_DEVICES=all",
            "NVIDIA_DRIVER_CAPABILITIES=compute,utility,video",
            "NVIDIA_PRODUCT_NAME=Triton Server",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "CUDA_VER=12.9.0.036",
            "NVRTC_VER=12.9.41-1",
            "PIP_BREAK_SYSTEM_PACKAGES=1",
            "TRT_ROOT=/usr/local/tensorrt",
            "TRITON_SERVER_VERSION=2.59.0",
            "NVIDIA_TRITON_SERVER_VERSION=25.06",
            "UCX_MEM_EVENTS=no",
            "TF_ADJUST_HUE_FUSED=1",
            "TF_ADJUST_SATURATION_FUSED=1",
            "TF_ENABLE_WINOGRAD_NONFUSED=1",
            "TF_AUTOTUNE_THRESHOLD=2",
            "TRITON_SERVER_GPU_ENABLED=1",
            "TRITON_SERVER_USER=triton-server",
            "DEBIAN_FRONTEND=noninteractive",
            "TCMALLOC_RELEASE_RATE=200",
            "DCGM_VERSION=3.3.6",
            "NVIDIA_BUILD_ID=179868725"
        ],
        "Cmd": null,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.amazonaws.sagemaker.capabilities.accept-bind-to-port": "true",
            "com.amazonaws.sagemaker.capabilities.multi-models": "true",
            "com.nvidia.build.id": "179868725",
            "com.nvidia.build.ref": "7a14b7925e0195aab82a319261751f73c3e2369b",
            "com.nvidia.cal.version": "0.4.4.50",
            "com.nvidia.cublas.version": "12.9.0.2",
            "com.nvidia.cublasmp.version": "0.4.0.789",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudnn.version": "9.9.0.52",
            "com.nvidia.cufft.version": "11.4.0.6",
            "com.nvidia.curand.version": "10.3.10.19",
            "com.nvidia.cusolver.version": "11.7.4.40",
            "com.nvidia.cusparse.version": "12.5.9.5",
            "com.nvidia.cusparselt.version": "0.7.1.0",
            "com.nvidia.nccl.version": "2.26.3",
            "com.nvidia.npp.version": "12.4.0.27",
            "com.nvidia.nsightcompute.version": "2025.2.0.11",
            "com.nvidia.nsightsystems.version": "2025.2.1.130",
            "com.nvidia.nvjpeg.version": "12.4.0.16",
            "com.nvidia.tensorrt.version": "10.9.0.34+cuda12.8",
            "com.nvidia.tensorrtoss.version": "",
            "com.nvidia.tritonserver.version": "2.59.0",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 38006624175,
    "GraphDriver": {
        "Data": {
            "LowerDir": "/var/lib/docker/overlay2/6f56eede3a781ac4c47bc1b06cd10c2b8993754bd82dedda85bccbff316673cc/diff:/var/lib/docker/overlay2/1330462c66bd072d2f841a6317d23f8da547f7df13675fd2afbd74fc6780e51b/diff:/var/lib/docker/overlay2/a38b076868830f5f12f75960d75dc9df387f78dda16fd8633caa5b4a2b205a24/diff:/var/lib/docker/overlay2/0f158a97ddfbbe45598c4e3a79e6ad60e21ccf655374c134a0810492d61bb6f2/diff:/var/lib/docker/overlay2/06903fff9b416bfd9ebcc72a8729e9fe012175379186385665cb8e416afcb91f/diff:/var/lib/docker/overlay2/e681912156adede12d8cb518262affa5ae44502c2c78c7e50761c079567d2b94/diff:/var/lib/docker/overlay2/928cd41d44b0adce147b6f4dee2c5ebf42b6b908da07daaf302abe425718a008/diff:/var/lib/docker/overlay2/ba49d4ce366cd94ec719a5bde95f70bd263262425ba9a850e3eb1733a75aa3b0/diff:/var/lib/docker/overlay2/bcab4871619d3181e46a64be9fccb820fefebb33d02281fe92193eae90f378df/diff:/var/lib/docker/overlay2/cb183724fd2f53cc469f8a9dedddfe24f494c1b50c9c8d2da41ab662a394350c/diff:/var/lib/docker/overlay2/50c40048574e95e746b1676fe2740138e4f3bc451416f8012f61eb181496b7e4/diff:/var/lib/docker/overlay2/2085847310d2e81c4871f36c69da63a76f398f38b7c572e2ca969ac83149b587/diff:/var/lib/docker/overlay2/73bc70e2775ca606cb84d3f1b3e58809e61acf6cc19620210f7c9aacd03ce274/diff:/var/lib/docker/overlay2/43f6f24249c7fc59382cfbe6d69138b860d5520653c7199093b68d62e77f9333/diff:/var/lib/docker/overlay2/89de1a97fa412482af354f5e1c28f3ea19a8eecee85f82342bd0cd3837a1bf77/diff:/var/lib/docker/overlay2/bac109c83c2fd023df5d0fef2f5af2ab72f27d5427af7461bbbc7f767d62478a/diff:/var/lib/docker/overlay2/4e3220a87fb4c591e6722c26b6f229a1aa25f3dba6c00c606b22cb151b252961/diff:/var/lib/docker/overlay2/4505b678028450cbafb4e0e9ed0167e9ef7f40f934fabc45bb667f470c90d1d1/diff:/var/lib/docker/overlay2/9e13dff978a6abe3fdd850c8277a4edb299e9972dd64658ba338a4f252fd53fc/diff:/var/lib/docker/overlay2/1be4dd13dac9b70169b40abb1c84f11c2053b03d1ee6e6596977ce560b7dc8e7/diff:/var/lib/docker/overlay2/96c48b1b5507644efead703bdf4a8aa8d5062a68c3e863e30a1f71f269298dc8/diff:/var/lib/docker/overlay2/7bfb5e0b6e08363802109f1123d3d0a13728cb223220936577833185580b15e7/diff:/var/lib/docker/overlay2/4e9e226a23c5db9c08d99c1fd1e814343cfb19ab6c3caaeef47f4ad24cca1fff/diff:/var/lib/docker/overlay2/53089b2b83568fec58cd004c41f8f18025381e6572657d2532010ba3faabb4f3/diff:/var/lib/docker/overlay2/8ed52489c994a58b92c2da5ffb6a6081e4e27d7a6ba22f7d475b88d2db83ae01/diff:/var/lib/docker/overlay2/73e6c5e58213c8eccb879cabd9c1e8fc512164d9770fbb502438722785563ef6/diff:/var/lib/docker/overlay2/418d960ff3ec549756efdf8631f3e8ee8e9cefd17084c556059fa82cd3042850/diff:/var/lib/docker/overlay2/21e7591dfef9e63f4d0223399755f45ff1e6053cd75afdb0149bdd86385dd47f/diff:/var/lib/docker/overlay2/abbae03ae6b452e2f1f7287c029bd25188b6f5a02ad3af9bc85d7f8a3210965b/diff:/var/lib/docker/overlay2/10ab69f62681906be6f841a082296c522ecdbbc76064cd5bd8d4303a720eb30a/diff:/var/lib/docker/overlay2/a212cdd14eac1668201c11bdfe5ae839f4c8ee529ce7f9dcd5273fd9b5c520f2/diff:/var/lib/docker/overlay2/113a29de81a5289667adfd3e6cd81aa820e431e32160924ee54b2d18efca3d5e/diff:/var/lib/docker/overlay2/a0805e0f28bec3a9b7962c08a5a6f3c96db959deb6b82bb7a8f5d8be9af836f5/diff:/var/lib/docker/overlay2/76d698881716025984d6d63de5fa7c8dede287a08e8f3fe013466ae13e424ee5/diff:/var/lib/docker/overlay2/07909bf94c233edb01448e4dd08e79463648ead275216e276cdc744afac79fbc/diff:/var/lib/docker/overlay2/d179bd4c3be220e9b6f60287c3c7ec8afe31f26bcb7d6f69684fb48dc71e78ba/diff:/var/lib/docker/overlay2/eaefff49cb69d01846ed0f04016cbf5af2947cf88bbcad659e76b8669d9eca98/diff:/var/lib/docker/overlay2/91350b4f9bb83cb674adf6d3f16fb8b264fc5dab4c666f4c9cdeadabbfc505ef/diff:/var/lib/docker/overlay2/4c5acc8392cc6b620e9f417fa939cb82e4451a27a6cf43bf924f9ae732e4673f/diff:/var/lib/docker/overlay2/73db4e32d9817e3f341640708e1cd8760ac890e43914d772722dee8b7895356a/diff:/var/lib/docker/overlay2/ad4e032f18b5b0b9cdee7427deb8e846757cb75edae11ae3be01f3188205cdb3/diff:/var/lib/docker/overlay2/4c880c5380354d599f351b8074cbd8dceb004086e56c8ea54f1b520b4af64b7d/diff:/var/lib/docker/overlay2/0fe7204d25e1484f0167bc8fa869d23f4b7d51a760f18b997d546106d8b1b785/diff:/var/lib/docker/overlay2/a73241cb2a514b31772a17a124ee020c589997a74bcaa89f7a329e96adb8051a/diff:/var/lib/docker/overlay2/d18e741463ede2fef355a38d84efe6cb2f1c6381ea88de466637540737bd18ef/diff:/var/lib/docker/overlay2/1cbf97fca074493690c703c58aa7c2776d12757aa36127eba13a432cd660f94e/diff:/var/lib/docker/overlay2/849e2421a16c1d129a100e44424c5301aa6898077c5d7c3e706ed184b583ed1a/diff:/var/lib/docker/overlay2/fef600f7e8f535787d59bca8365012db967709fcf4edc195b4ad157323eaa145/diff:/var/lib/docker/overlay2/abcb291c9e073ea384f1b8eebd87c65e15e41ce446d49d133b9da5944eead5f3/diff:/var/lib/docker/overlay2/03039a097b309b581e6315dc96557b7200ffc20bfa88d414e0a71c99b8683162/diff:/var/lib/docker/overlay2/c2b04e8515f24a4324f72f7cb8afdb4d2a7f9ce3bedbed499a33d24f90859632/diff:/var/lib/docker/overlay2/3c28494fcb39c7ff22813f5047e5c14adc22585d3a67c59a6d51ec1388620667/diff:/var/lib/docker/overlay2/1ec63529056efffd3bc16069f64c123f841340543bcde698e571b03ce535e544/diff:/var/lib/docker/overlay2/6abcac5d3e1bfa10768655df8ae65048655ece791a22a4a4eace203dabbbda64/diff:/var/lib/docker/overlay2/2a5e76aeaf29cbd4b3ac1c2ed96e3661f8a5ff0c5715530bff01828b13458a6e/diff:/var/lib/docker/overlay2/52ded54bd9875bae130ae6fa1f1b30e00beff92d814dfdc007e79a10fba5b926/diff:/var/lib/docker/overlay2/2b74be3ec991ab6b661444fed29227c5f3b7a94cd255eff4521ae234c8b7272c/diff:/var/lib/docker/overlay2/e059cfbcc836aac61f5f8b4ddb4e0f9890bc3ebf521ee007649ad7f73c0038b7/diff:/var/lib/docker/overlay2/dfcaac1c770df04a9fb0b98a14bfd42936e1b599270ed5060c8a6448b5379218/diff:/var/lib/docker/overlay2/4f43ec0463f8b45c6e77f0f78e620332b0d517dc8b51087614c4388b8fc3c1b2/diff:/var/lib/docker/overlay2/57f109588ed8dc9df31e16cf6fe93ac0da02dd1d79fa9777f9b8113aa3600272/diff:/var/lib/docker/overlay2/44271877da778e38e36c363e864378d04aa2d40e77a47d74dc51b6ad804046cf/diff:/var/lib/docker/overlay2/83fd5aa85ff5723097283bff577e6e7a96dcdccc3fb3757ffb19cc926fd543fd/diff:/var/lib/docker/overlay2/e103d1623a8ec9f1f60b5ce5232b48948760d352724f036dd5fac43545cef437/diff:/var/lib/docker/overlay2/51a4630879ea903ba2b571b80f5a64c2adc36540b4387cbf87502502d8aa9c3e/diff:/var/lib/docker/overlay2/c900bc009b90855e9cae1b3eac84e5e28c38ede427b1b41e776e23bb41b6ad1e/diff:/var/lib/docker/overlay2/81c6a180843ca57eb4aae00361a7b9f84eb8b945de5cda7fe605ece27d712ecc/diff:/var/lib/docker/overlay2/cc64ab2c6a5b4e191b157407cba0cfa0a592b13ea93fe9f522805e464d310d73/diff:/var/lib/docker/overlay2/c9c701aeeaaee9e274b96b87085aced8bb893858203b1ca38190dfb60b4af5c1/diff:/var/lib/docker/overlay2/d4e421f7a5f5b012d1e59b6d3d69ad5ee40105e476de956bf7c4b5a70ae41b39/diff:/var/lib/docker/overlay2/0189aff5b3fca5008785537253ba9d1430078533db14e4ce2cd42ab5f6712504/diff:/var/lib/docker/overlay2/da2b986884643cadee2b8d5e6375360337063592d05896ad26ed73830bdd324b/diff:/var/lib/docker/overlay2/f7f306853eab45664c380e002121053ea4260f153535ed2c3022ae90454a3f80/diff:/var/lib/docker/overlay2/2ee70c09b60fa2bc6fe740fb5a94bd21ac345411d76755f00def21e734cbc939/diff:/var/lib/docker/overlay2/9c57feeead04d7be153bd53334cb9a4fc3ced26e00105131c515ad28110c2c6f/diff:/var/lib/docker/overlay2/697096b4c822b101843182ff505291800d91c80f1ac5c99f2b9cab5e17ecccf2/diff",
            "MergedDir": "/var/lib/docker/overlay2/d40fe3e2133077f0bab557969adbd494807dc5fee0d39b7e43dafe5410cc7fc7/merged",
            "UpperDir": "/var/lib/docker/overlay2/d40fe3e2133077f0bab557969adbd494807dc5fee0d39b7e43dafe5410cc7fc7/diff",
            "WorkDir": "/var/lib/docker/overlay2/d40fe3e2133077f0bab557969adbd494807dc5fee0d39b7e43dafe5410cc7fc7/work"
        },
        "Name": "overlay2"
    },
    "RootFS": {
        "Type": "layers",
        "Layers": [
            "sha256:3abdd8a5e7a8909e1509f1d36dcc8b85a0f95c68a69e6d86c6e9e3c1059d44b3",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:56b48a64c1a89635c37cc8eee09f44dfdd1b0bffb178c7c6e684b5602230dc86",
            "sha256:51095d499b316211c41771ac0086d35be15ddb88e250ffc16c472317f7186592",
            "sha256:382f0aacfa3721bb8e87165e2adb98f5986881bebfd195c8a39ab90b56dd923a",
            "sha256:0c5897de4ba5c763c7e50e3a44f16f87a36e6672290cfab474eb27cd313b39c6",
            "sha256:383dc5aac9d7a3d6dd11b9da9733258cc739f0b2e7fccc1fab120eaf5e04f205",
            "sha256:4ffee5b339a82e809699254d6393839780f9c85d54f2e67bbdacaf40ca3a879e",
            "sha256:9f2c7f673b63c3a31155f340149224e92b466afeb5fee5f0be73548bf803f01e",
            "sha256:6b5e4b206c8b3d4b99f76bf751d9bf52108a496529ebf673d5083023a8dea26d",
            "sha256:38566b056d73e56f9339fd3dae54d29b26713ab07773d022d807f35b5fe3a398",
            "sha256:f4bcfdcad5ed7fdcabb6fa7f3839922cda7a295b9f03fe7c0df00535631bf0ca",
            "sha256:0879c5d84b48fcfd1e9de1636ce3b171b9bd86a4a0772f5305cfe02e2781b00c",
            "sha256:bf3c7891de9351c7abd4db9910444bc818063088aff357a3033efc3c8b2a2786",
            "sha256:dd87c33ba4b2c61e7164cce127f51144776ceec66be37e2ee05926dbb20aee57",
            "sha256:ee5507ec4a0e87d3f11fc56363c27db42d182871b5355f8b7fa12e61ee679c8e",
            "sha256:6a84733e7676e6e19364756a5e16890bee88aa3d46ce6960bcf0a15521d3a972",
            "sha256:12c080ad40e6efb09f6f0f4246bb2f8d9303f049884c94a1418eb6a019138749",
            "sha256:01c286f6d2e6f5c9b6680b7562820c339383b087ca08c8c77da765e5f75e050e",
            "sha256:c20457bc47b764342fc58ba77709459068a44a96aefd27cafd3812b2171c5d1a",
            "sha256:bd03aeff2ea887c025fbac23aa08169c8a77a1b190e13cb93c53b5a8d9d531e7",
            "sha256:cab41451cfe74498f82688deddbeef3cf2fbeb2159749061ec5a9278fb607de3",
            "sha256:b90ee5e0b1675b615f45659d554c45d8613f3ddcd47b37bef40d7fa76fdb16db",
            "sha256:f27d503bbf5d057949a71528d94e69ff844f273f318bde4f570373e30cc8b9b5",
            "sha256:0d547866fd63427426ba644e1dfd2520e6f86e1eca430920944cb2c268939f10",
            "sha256:d60a64bbf1dac165afe7d75900ec143420d31018f8c5e28e24e6725233ae2fc3",
            "sha256:63560e8d0d2797845211fbd7aa4208024be7a857b39609000be2ded42b9be94e",
            "sha256:691e8522cede183b432d38556d54c5c8ca9ad686ea0716dd377d4198cb7fdb92",
            "sha256:fbe1e3fff73e1066818c3fecb56ab61e37a3c5f5c99e78125aa80ddb369e5eef",
            "sha256:e024312c04d482d25aba387a10b9dfac66ce5bf6af927d7270cab4a36b4bdf63",
            "sha256:303323a98bb83e48fe25050cdc887248c4049c8ef480f217305238bbaae2771c",
            "sha256:e78600ab9ecc62cef874ea4b2ea80f583171839881d03425278b72d558a60cea",
            "sha256:ab24520da16b0d5cf8ca7eaa44fb94f5185f98fef9ff54c393a6b82b8e353e54",
            "sha256:48bba5f541f8843b59e2c97859741d49d94b607fe994aa287dd327589213ff92",
            "sha256:0e4bcf6c88500ece1faa54b912b66d78563fbfe21b3fe8a3d47bb3fb3fc59de3",
            "sha256:29569e56e82c506cf52cf50644a91f9433c9e7f621ee8725815a164e359edd87",
            "sha256:59de76423a0252aa5bf0e85526ee0583d45588d323224842e731ae413597802a",
            "sha256:a50b75d1c856660547cbaf65e2da67f1f20d1e2aedf02dedf2b2530fff8ec161",
            "sha256:57b89d1f8b0bc38701e96d467009a40739f7b952d56da3f8e15dc765780bbe5a",
            "sha256:9f4ace7425c31d31052828f5a4df9b8609beb60a7ae49f1579a9233b21209de0",
            "sha256:a55998affe75229cb6f715d482938df7522dddd43d43e3598ea2c77bbc7463ba",
            "sha256:3d7281abdbf661dffbc8cef62da48daf93f6dc91df45ae55127871a238fe9d4c",
            "sha256:94892486069e0246de2badd794a76b0c43b83cee44118dfd0297c7d7b2f049fc",
            "sha256:b81ea898c05ffc255f81b5e24d223284567e5d08c120f618aada17a2529b0cff",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:f9188a7507f7bc3fd475cc84ee2d5cb56c9b14bfef73362adeb25d1455869a41",
            "sha256:f97c5ac4c4865080a1adb28f675fdfc95c4214848741d330294a2902fcc1bc18",
            "sha256:e94147f6bb7de3ce5993956f9dd50050e796a2972c316bdbf711d27891ca39fe",
            "sha256:8142635e6d03c644d32a61b158abb9af3bd07b62e4026cd4cd1f27e71aab0114",
            "sha256:26ba7096d8630d5eb20c5449a740ad7d27d1674bf5ed2e89b0df0c336b93d4f1",
            "sha256:3397b199a91f7a0519311f5820cd4b30afc182fd28e1e901c6483f3b162e86fe",
            "sha256:dc2d40364b38bda77885ba529b3bc146a9df9fd3004fc23e85852d2766b9ab69",
            "sha256:59ff9a81009af5c9077e8c020c895648c78f9880387d37fc7a41a6ffc104f43b",
            "sha256:edced1a982029ab5c3cbef964ea5307a83333634c89ec154f5909efbd4a7f195",
            "sha256:2bcc6275ef158e0939ed7aa6a1c1c23f227adf57e91c15fb6d5a072f4bd2f700",
            "sha256:cc8f5ba17b2271c0056ea0a1cea4c0bc6536a5f3d81d3bc9c795183f5aae8147",
            "sha256:3750200eb9e23d36ea4777b02d9b8178a858bf609c1cfa0e21c2fe97eff670fc",
            "sha256:c93a2fe7cf32566e9d43436db78451d712789f28e1943383f5cfd0d1d54df509",
            "sha256:38d77bb33258e5257b0b614728f2d951b776353b90c1c98ede636b9d85e787e5",
            "sha256:f54818971e75766d6be89ac9abd3c5f78603d559a898be9f760e7a001521056f",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:cf9473b0bc39a90037335a2dedaf56c92ab6a1b1f3eb61a92f42c16b0a6fe734",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:64859f27aa3e4dec42318c972b3d649bbadc372c28edcc357adae674dd5f0614",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
            "sha256:09fa478e6261c7514fcb7d7ba3e99cfd35c22b7f19a6abb511841805f178adca",
            "sha256:f728a2b42d1d5b55cfa1d484b3f363c14e02d86e8eea3144092d96721593b407",
            "sha256:35683ad247e23f7a1417cba9cd76f6f12b6e7a06c6bcd380fe0f1922e02ba71a",
            "sha256:42a9e7a385283825b91a3cddbe9049cd8ce2c6dea5ec04199f81b4f694b30da3",
            "sha256:f648470d1e7fcbaafa6bfe734930b506dcd7fc6009bbe693a5d340bb93c3fdc0",
            "sha256:95c04bb5b075e0934088e7f1fb1800d6b642eab6dfbf4c7517b1854c087edd99",
            "sha256:ecf722afdd43b64ee4836bb408a0a94e640fc1467439416df6bf4d9b532adad6",
            "sha256:a9a82454bc5c86422419008076d62d6a8c33c59bd135bf17dd5c55945d35320f",
            "sha256:6d6634be9be59e8f39c3c4d3ed28392e4a3b7afe01ec0deaa80c16dd3a12269b",
            "sha256:625c9ec3e648ca703c00ac41622856f71bf1b8aaec4109891dd09908b62032ab",
            "sha256:19f8a550b1ef3a5f432b1ab83d0286481cfe5e30448baf6942b29aaf4fe3c4d5",
            "sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef"
        ]
    },
    "Metadata": {
        "LastTagTime": "2025-10-21T00:30:21.681832648+08:00"
    }
}

更多版本

docker.io/soar97/triton-cosyvoice:25.06

linux/amd64 docker.io38.01GB2025-10-21 01:12
19