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docker.io/sandai/magi-2-preview:latest
linux/amd64 docker.io

docker.io/sandai/magi-2-preview是Sandai公司推出的Magi-2系统预览版的Docker容器镜像,包含Magi-2系统的核心组件及预览特性,可用于在容器环境中快速部署和体验Magi-2系统的预览功能,方便开发者或用户提前测试相关特性。

13
浏览次数
28.11GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest
源镜像
docker.io/sandai/magi-2-preview:latest
镜像ID
sha256:56a190ec4aa805460cd465590a49b53ef146bd2792761f7a23150ffe3180f3db
镜像 TAG
latest
镜像大小
28.11GB
平台架构
linux/amd64
镜像源
docker.io
CMD
bash
启动入口
/opt/nvidia/nvidia_entrypoint.sh
工作目录
/workspace
OS/平台
linux/amd64
镜像创建
2026-08-05T04:49:10.270631197Z
同步时间
2026-08-09 07:12
浏览量
13 次
贡献者
🔌 开放端口 2
6006/tcp 8888/tcp
⚙️ 环境变量 96
KeyValue
PATH=/usr/local/cuda/bin:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/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:/opt/tensorrt/bin 0
NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS= 1
GDRCOPY_VERSION=2.5.1 2
HPCX_VERSION=2.24.1 3
MOFED_VERSION=5.4-rdmacore56.0 4
OPENUCX_VERSION=1.19.0 5
OPENMPI_VERSION=4.1.7 6
RDMACORE_VERSION=56.0 7
EFA_VERSION=1.38.1 8
AWS_OFI_NCCL_VERSION=1.14.0 9
OPAL_PREFIX=/opt/hpcx/ompi 10
OMPI_MCA_coll_hcoll_enable=0 11
CUDA_VERSION=13.0.2.006 12
CUDA_DRIVER_VERSION=580.95.05 13
NVVM_VERSION=13.0.88 14
DOCA_VERSION=3.1.0 15
_CUDA_COMPAT_PATH=/usr/local/cuda/compat 16
ENV=/etc/shinit_v2 17
BASH_ENV=/etc/bash.bashrc 18
SHELL=/bin/bash 19
NVIDIA_REQUIRE_CUDA=cuda>=9.0 20
NCCL_VERSION=2.27.7 21
CUBLAS_VERSION=13.1.0.3 22
CUFFT_VERSION=12.0.0.61 23
CURAND_VERSION=10.4.0.35 24
CUSPARSE_VERSION=12.6.3.3 25
CUSPARSELT_VERSION=0.8.1.1 26
CUSOLVER_VERSION=12.0.4.66 27
NPP_VERSION=13.0.1.2 28
NVJPEG_VERSION=13.0.1.86 29
CUFILE_VERSION=1.15.1.6 30
NVJITLINK_VERSION=13.0.88 31
NVFATBIN_VERSION=13.0.85 32
CUBLASMP_VERSION=0.6.0.84 33
NVSHMEM_VERSION=3.4.5 34
CUDLA_VERSION=13.0.2.006 35
NVPTXCOMPILER_VERSION=13.0.88 36
CUDNN_VERSION=9.14.0.64 37
CUDNN_FRONTEND_VERSION=1.14.1 38
TRT_VERSION=10.13.3.9 39
TRTOSS_VERSION= 40
NSIGHT_SYSTEMS_VERSION=2025.5.1.121 41
NSIGHT_COMPUTE_VERSION=2025.3.1.4 42
DALI_VERSION=1.51.2 43
DALI_BUILD= 44
DALI_URL_SUFFIX=130 45
POLYGRAPHY_VERSION=0.49.26 46
TRANSFORMER_ENGINE_VERSION=2.8 47
MODEL_OPT_VERSION=0.35.1 48
CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 49
MAXSMVER= 50
NVRX_VERSION=0.4.1+cuda13 51
LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 52
NVIDIA_VISIBLE_DEVICES=all 53
NVIDIA_DRIVER_CAPABILITIES=compute,utility,video 54
NVIDIA_PRODUCT_NAME=PyTorch 55
LIBRARY_PATH=/usr/local/cuda/lib64/stubs: 56
PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 57
PYTORCH_VERSION=2.9.0a0+145a3a7 58
PYTORCH_BUILD_NUMBER=0 59
NVIDIA_PYTORCH_VERSION=25.10 60
NVFUSER_BUILD_VERSION=ed11f2b 61
NVFUSER_VERSION=ed11f2b 62
PIP_BREAK_SYSTEM_PACKAGES=1 63
PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python 64
PIP_CONSTRAINT=/etc/pip/constraint.txt 65
NVPL_LAPACK_MATH_MODE=PEDANTIC 66
PYTHONIOENCODING=utf-8 67
LC_ALL=C.UTF-8 68
PIP_DEFAULT_TIMEOUT=100 69
JUPYTER_PORT=8888 70
TENSORBOARD_PORT=6006 71
UCC_CL_BASIC_TLS=^sharp 72
UCC_EC_CUDA_EXEC_NUM_THREADS=256 73
TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0+PTX 74
PYTORCH_HOME=/opt/pytorch/pytorch 75
CUDA_HOME=/usr/local/cuda 76
TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1 77
TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas 78
TRITON_CUOBJDUMP_PATH=/usr/local/cuda/bin/cuobjdump 79
TRITON_NVDISASM_PATH=/usr/local/cuda/bin/nvdisasm 80
TRITON_CUDACRT_PATH=/usr/local/cuda/include 81
TRITON_CUDART_PATH=/usr/local/cuda/include 82
TRITON_CUPTI_PATH=/usr/local/cuda/include 83
COCOAPI_VERSION=2.0+nv0.8.1 84
CUDA_MODULE_LOADING=LAZY 85
TORCH_NCCL_USE_COMM_NONBLOCKING=0 86
NVIDIA_BUILD_ID=222058774 87
PIP_INDEX_URL=https://pypi.org/simple 88
PIP_NO_CACHE_DIR=1 89
PIP_DISABLE_PIP_VERSION_CHECK=1 90
PYTHONDONTWRITEBYTECODE=1 91
MAGI_COMPILE_CACHE_ROOT_DIR=/tmp/magi_compiler_cache 92
MAGI_ATTENTION_WORKSPACE_BASE=/tmp/magi_attention 93
PYTORCH_ALLOC_CONF=expandable_segments:True 94
NCCL_ALGO=^NVLS 95
🏷️ 镜像标签 24
KeyValue
222058774 com.nvidia.build.id
b3a219ee36b8fb6bf33353e548d995ed552ccbfa com.nvidia.build.ref
13.1.0.3 com.nvidia.cublas.version
0.6.0.84 com.nvidia.cublasmp.version
9.0 com.nvidia.cuda.version
13.0.2.006 com.nvidia.cudla.version
9.14.0.64 com.nvidia.cudnn.version
12.0.0.61 com.nvidia.cufft.version
10.4.0.35 com.nvidia.curand.version
12.0.4.66 com.nvidia.cusolver.version
12.6.3.3 com.nvidia.cusparse.version
0.8.1.1 com.nvidia.cusparselt.version
2.27.7 com.nvidia.nccl.version
13.0.1.2 com.nvidia.npp.version
2025.3.1.4 com.nvidia.nsightcompute.version
2025.5.1.121 com.nvidia.nsightsystems.version
13.0.1.86 com.nvidia.nvjpeg.version
13.0.88 com.nvidia.nvvm.version
2.9.0a0+145a3a7 com.nvidia.pytorch.version
10.13.3.9 com.nvidia.tensorrt.version
com.nvidia.tensorrtoss.version
nvidia_driver com.nvidia.volumes.needed
ubuntu org.opencontainers.image.ref.name
24.04 org.opencontainers.image.version
🛡️ 镜像安全扫描
ubuntu 24.04 Trivy 2026-08-09 07:17 查看完整报告
713
低危 LOW
4769
中危 MEDIUM
396
高危 HIGH
24
严重 CRITICAL
受影响目标 (18)
docker.io/sandai/magi-2-preview:latest (ubuntu 24.04) ubuntu Node.js node-pkg Python python-pkg opt/pytorch/fuser/third_party/flatbuffers/tests/FlatBuffers.Test/packages.config nuget opt/pytorch/pytorch/third_party/flatbuffers/tests/FlatBuffers.Test/packages.config nuget opt/pytorch/pytorch/third_party/ittapi/rust/Cargo.lock cargo opt/pytorch/pytorch/third_party/ittapi/rust/integration-tests/Cargo.lock cargo usr/local/cuda-13.0/NsightSystems-cli-2025.5.1/target-linux-x64/plugins/efa_metrics/nic_sampler gobinary /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.key /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.key.orig /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/client.pem /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.key /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.key.orig /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server.pem /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.key /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.key.orig /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/cert/server_bkup.pem /opt/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb/resources/ssl_cert.pem

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest  docker.io/sandai/magi-2-preview:latest

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest  docker.io/sandai/magi-2-preview:latest

Shell快速替换命令

sed -i 's#sandai/magi-2-preview:latest#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest#' 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/sandai/magi-2-preview:latest && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest  docker.io/sandai/magi-2-preview:latest'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest  docker.io/sandai/magi-2-preview:latest'

镜像构建历史


# 2026-08-05 12:49:10  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2026-08-05 12:49:10  34.00B 
|6 BUILD_INFO=2712106 2026-08-05T12:47:58+08:00 FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf MAGI_ATTENTION_REF=2c6413571c2cac6a80d1f85a434c6713fe0f5286 MAGI_COMPILER_REF=5950612ddf1205f9ba9c3238a8f02a078023e15c http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c printf '%s\n' "${BUILD_INFO}" > /etc/magi2-build-info
                        
# 2026-08-05 12:34:45  0.00B 
/bin/sh -c #(nop)  ARG BUILD_INFO=unknown
                        
# 2026-08-05 12:34:43  1.93GB 
|5 FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf MAGI_ATTENTION_REF=2c6413571c2cac6a80d1f85a434c6713fe0f5286 MAGI_COMPILER_REF=5950612ddf1205f9ba9c3238a8f02a078023e15c http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c pip install --no-deps nvidia-cudnn-cu13>=9.15 &&     rm -f /usr/lib/x86_64-linux-gnu/libcudnn* &&     cp /usr/local/lib/python3.12/dist-packages/nvidia/cudnn/lib/libcudnn* /usr/lib/x86_64-linux-gnu/ &&     ldconfig
                        
# 2026-08-05 12:33:57  450.87MB 
|5 FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf MAGI_ATTENTION_REF=2c6413571c2cac6a80d1f85a434c6713fe0f5286 MAGI_COMPILER_REF=5950612ddf1205f9ba9c3238a8f02a078023e15c http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c grep -vE '^(torch|torchvision|torchaudio)([=<>]|$)' /tmp/magi2-requirements.txt     > /tmp/magi2-requirements-no-torch.txt &&     pip install -r /tmp/magi2-requirements-no-torch.txt &&     rm /tmp/magi2-requirements*.txt
                        
# 2026-08-05 12:33:27  371.00B 
/bin/sh -c #(nop) COPY file:8c4f61e119efaf304a0619975d569ecafe57641138909eb1ad05bfbc6a6099d0 in /tmp/magi2-requirements.txt 
                        
# 2026-08-05 12:33:27  710.52MB 
|5 FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf MAGI_ATTENTION_REF=2c6413571c2cac6a80d1f85a434c6713fe0f5286 MAGI_COMPILER_REF=5950612ddf1205f9ba9c3238a8f02a078023e15c http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c git clone --depth 1 https://github.com/SandAI-org/MagiCompiler.git /opt/MagiCompiler &&     cd /opt/MagiCompiler && git fetch --depth 1 origin ${MAGI_COMPILER_REF} && git checkout ${MAGI_COMPILER_REF} &&     pip install -r requirements.txt &&     pip install --no-build-isolation .
                        
# 2026-08-05 12:33:04  0.00B 
/bin/sh -c #(nop)  ARG MAGI_COMPILER_REF=5950612ddf1205f9ba9c3238a8f02a078023e15c
                        
# 2026-08-05 12:33:02  3.23GB 
|4 FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf MAGI_ATTENTION_REF=2c6413571c2cac6a80d1f85a434c6713fe0f5286 http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c git clone --depth 1 https://github.com/SandAI-org/MagiAttention.git /opt/MagiAttention &&     cd /opt/MagiAttention && git fetch --depth 1 origin ${MAGI_ATTENTION_REF} && git checkout ${MAGI_ATTENTION_REF} &&     git submodule update --init --recursive --jobs 8 &&     pip install -r requirements.txt &&     MAGI_ATTENTION_BUILD_COMPUTE_CAPABILITY=90 pip install --no-build-isolation . &&     cd extensions && pip install --no-deps --no-build-isolation .
                        
# 2026-08-05 12:20:48  0.00B 
/bin/sh -c #(nop)  ARG MAGI_ATTENTION_REF=2c6413571c2cac6a80d1f85a434c6713fe0f5286
                        
# 2026-08-05 12:20:47  1.55GB 
|3 FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c git clone --depth 1 https://github.com/Dao-AILab/flash-attention.git /tmp/flash-attention &&     cd /tmp/flash-attention && git fetch --depth 1 origin ${FLASH_ATTENTION_REF} && git checkout ${FLASH_ATTENTION_REF} &&     git submodule update --init --recursive --depth 1 --jobs 8 &&     cd hopper && python setup.py install &&     rm -rf /tmp/flash-attention
                        
# 2026-08-05 11:38:14  0.00B 
/bin/sh -c #(nop)  ARG FLASH_ATTENTION_REF=b613d9e2c8475945baff3fd68f2030af1b890acf
                        
# 2026-08-05 11:38:14  18.01MB 
|2 http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c pip install --upgrade pip setuptools wheel ninja
                        
# 2026-08-05 11:38:08  429.87MB 
|2 http_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 https_proxy=http://sandai:cb57924ebef9@10.119.176.202:3128 /bin/sh -c apt-get -qq update &&     DEBIAN_FRONTEND=noninteractive apt-get -qq install -y --no-install-recommends     ca-certificates git build-essential ninja-build ffmpeg &&     rm -rf /var/lib/apt/lists/*
                        
# 2026-08-05 11:36:47  0.00B 
/bin/sh -c #(nop) WORKDIR /workspace
                        
# 2026-08-05 11:36:47  0.00B 
/bin/sh -c #(nop)  ENV PIP_INDEX_URL=https://pypi.org/simple PIP_NO_CACHE_DIR=1 PIP_DISABLE_PIP_VERSION_CHECK=1 PYTHONDONTWRITEBYTECODE=1 CUDA_HOME=/usr/local/cuda PATH=/usr/local/cuda/bin:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/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:/opt/tensorrt/bin LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 MAGI_COMPILE_CACHE_ROOT_DIR=/tmp/magi_compiler_cache MAGI_ATTENTION_WORKSPACE_BASE=/tmp/magi_attention PYTORCH_ALLOC_CONF=expandable_segments:True NCCL_ALGO=^NVLS
                        
# 2026-08-02 02:08:50  0.00B 
/bin/sh -c #(nop)  ARG PIP_INDEX_URL=https://pypi.org/simple
                        
# 2026-07-14 16:22:25  0.00B 
/bin/sh -c #(nop)  ARG no_proxy
                        
# 2026-07-14 16:22:25  0.00B 
/bin/sh -c #(nop)  ARG https_proxy
                        
# 2026-07-14 16:22:25  0.00B 
/bin/sh -c #(nop)  ARG http_proxy
                        
# 2025-10-17 17:35:05  0.00B 添加元数据标签
LABEL com.nvidia.build.ref=b3a219ee36b8fb6bf33353e548d995ed552ccbfa
                        
# 2025-10-17 17:35:05  0.00B 定义构建参数
ARG NVIDIA_BUILD_REF=b3a219ee36b8fb6bf33353e548d995ed552ccbfa
                        
# 2025-10-17 17:35:05  0.00B 添加元数据标签
LABEL com.nvidia.build.id=222058774
                        
# 2025-10-17 17:35:05  0.00B 设置环境变量 NVIDIA_BUILD_ID
ENV NVIDIA_BUILD_ID=222058774
                        
# 2025-10-17 17:35:05  0.00B 定义构建参数
ARG NVIDIA_BUILD_ID=222058774
                        
# 2025-10-17 17:35:05  15.04KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c cd /opt/pytorch/pytorch/ &&     sed -i "s#    if (props.computeMode != cudaComputeModeDefault) {#    int computeMode = -1;\n    TP_CUDA_CHECK(cudaDeviceGetAttribute(\&computeMode, cudaDevAttrComputeMode, device.index));\n    if (computeMode != cudaComputeModeDefault) {#g" ./third_party/tensorpipe/tensorpipe/channel/cuda_ipc/context_impl.cc &&     cd - # buildkit
                        
# 2025-10-17 17:35:05  719.00B 复制新文件或目录到容器中
COPY entrypoint.d/ /opt/nvidia/entrypoint.d/ # buildkit
                        
# 2025-10-17 17:35:05  258.00B 复制新文件或目录到容器中
COPY constraint.txt /etc/pip/original_constraint.txt # buildkit
                        
# 2025-10-17 17:35:05  0.00B 复制新文件或目录到容器中
COPY restricted_constraint.txt /etc/pip/constraint.txt # buildkit
                        
# 2025-10-17 17:35:05  69.89KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /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
                        
# 2025-10-17 17:35:05  0.00B 设置环境变量 TORCH_NCCL_USE_COMM_NONBLOCKING
ENV TORCH_NCCL_USE_COMM_NONBLOCKING=0
                        
# 2025-10-17 17:35:05  0.00B 设置环境变量 CUDA_MODULE_LOADING
ENV CUDA_MODULE_LOADING=LAZY
                        
# 2025-10-17 17:35:05  106.94KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c patch -d /usr/local/lib/python3.12/dist-packages/numba/cuda/cudadrv/ -p1 < /tmp/numba-cuda-patch.txt # buildkit
                        
# 2025-10-17 17:35:05  0.00B 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-10-17 17:35:05  1.01GB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c if [ "${L4T}" = "1" ]; then echo "Not installing Transformer Engine in iGPU container until Version variable is set"; else     git clone -b release_v${TRANSFORMER_ENGINE_VERSION} --single-branch --recursive https://github.com/NVIDIA/TransformerEngine.git &&     pip install nvidia-mathdx==25.1.1 &&     _NVTE_CUDA_ARCHS=$(echo "${CUDA_ARCH_LIST}" | tr -d '.') &&     NVTE_CUDA_ARCHS=$(echo "${_NVTE_CUDA_ARCHS}" | tr ' ' ';') &&     env NVTE_CUDA_ARCHS="${NVTE_CUDA_ARCHS};89;100a;103a" NVTE_BUILD_THREADS_PER_JOB=8 pip install --no-cache-dir --no-build-isolation ./TransformerEngine &&     rm -rf TransformerEngine; fi # buildkit
                        
# 2025-10-17 17:27:39  1.77GB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c if [ "${L4T}" = "1" ]; then echo "Not installing Flash Attention wheel in iGPU as it is a requirement for Transformer Engine"; else     pip install --no-cache-dir /opt/transfer/flash_attn*.whl; fi # buildkit
                        
# 2025-10-17 17:27:30  47.45MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip install --no-cache-dir /opt/pytorch/torch_tensorrt/dist/*.whl # buildkit
                        
# 2025-10-17 17:27:29  705.80MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip install --no-cache-dir /opt/pytorch/apex/dist/*.whl # buildkit
                        
# 2025-10-17 17:23:56  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/lib/python3.12/dist-packages/torch_tensorrt/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:/opt/tensorrt/bin
                        
# 2025-10-17 17:23:56  0.00B 设置环境变量 LD_LIBRARY_PATH
ENV LD_LIBRARY_PATH=/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
                        
# 2025-10-17 17:23:56  0.00B 定义构建参数
ARG PYVER=3.12
                        
# 2025-10-17 17:23:56  163.36MB 复制新文件或目录到容器中
COPY torch_tensorrt/ /opt/pytorch/torch_tensorrt/ # buildkit
                        
# 2025-10-17 17:23:54  61.60MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip --version && python -c 'import sys; print(sys.platform)'     && pip install --extra-index-url https://urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple --no-cache-dir "polygraphy==${POLYGRAPHY_VERSION}"     && pip install  --index-url https://gitlab-master.nvidia.com/api/v4/projects/omniml%2Fmodelopt/packages/pypi/simple --extra-index-url https://pypi.nvidia.com "nvidia-modelopt[torch]==${MODEL_OPT_VERSION}"     && pip install nvidia-resiliency-ext==${NVRX_VERSION} --index-url https://gitlab-master.nvidia.com/api/v4/projects/dl%2Fosiris%2Fnvidia-resiliency-ext-ci/packages/pypi/simple     && pip uninstall -y pynvml # buildkit
                        
# 2025-10-17 17:23:47  0.00B 设置环境变量 PATH
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:/opt/tensorrt/bin
                        
# 2025-10-17 17:23:47  7.24MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c set -x     && WHEELS=1 /nvidia/build-scripts/installTRT.sh # buildkit
                        
# 2025-10-17 17:22:49  34.90MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c chmod -R a+w . # buildkit
                        
# 2025-10-17 17:22:49  34.89MB 复制新文件或目录到容器中
COPY tutorials tutorials # buildkit
                        
# 2025-10-17 17:22:49  2.07KB 复制新文件或目录到容器中
COPY docker-examples docker-examples # buildkit
                        
# 2025-10-17 17:22:49  2.05KB 复制新文件或目录到容器中
COPY NVREADME.md README.md # buildkit
                        
# 2025-10-17 17:22:49  0.00B 设置工作目录为/workspace
WORKDIR /workspace
                        
# 2025-10-17 17:22:49  224.04KB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c pip install tabulate # buildkit
                        
# 2025-10-17 17:22:48  370.58MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c ( if [ "${L4T}" = "1" ]; then echo "Not installing nvshmem in iGPU container";       else /nvidia/build-scripts/installCUBLASMP.sh         && DPKG_DIVERT=1 BASE=1 /nvidia/build-scripts/installNVSHMEM.sh; fi )  && ( cd fuser && pip install -r requirements.txt && pip install -v ./python --no-build-isolation && rm -rf ./python/build && rm -rf ./bin)  && ( cd lightning-thunder && pip install --no-build-isolation . && rm -rf build *.egg-info)  && ( cd lightning-thunder && mkdir tmp && cd tmp && git clone -b v${CUDNN_FRONTEND_VERSION} --recursive --single-branch https://github.com/NVIDIA/cudnn-frontend.git cudnn_frontend && cd cudnn_frontend && pip install --no-build-isolation . && cd ../../ && rm -rf tmp )  && ( cd pytorch/third_party/onnx && pip uninstall typing -y && CMAKE_ARGS="-DONNX_USE_PROTOBUF_SHARED_LIBS=ON" pip install --no-build-isolation . )  && ( if [ "${L4T}" = "1" ]; then echo "Not installing torchao in iGPU container"; else cd ao && TORCH_CUDA_ARCH_LIST="9.0a 10.0a ${TORCH_CUDA_ARCH_LIST}" pip install --no-build-isolation . && python setup.py clean --all ; fi ) # buildkit
                        
# 2025-10-17 17:04:33  31.22MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c ( if [ "${L4T}" = "1" ]; then echo "Not installing nvshmem in iGPU container";       else cp /tmp/transfer/libnvshmem_device.bc /usr/local/cuda/lib64/libnvshmem_device.bc; fi ) # buildkit
                        
# 2025-10-17 17:04:33  0.00B 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-10-17 17:04:33  2.21KB 复制新文件或目录到容器中
COPY singularity/ /.singularity.d/ # buildkit
                        
# 2025-10-17 17:04:33  71.66MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c export COCOAPI_TAG=$(echo ${COCOAPI_VERSION} | sed 's/^.*+n//')  && pip install git+https://github.com/nvidia/cocoapi.git@${COCOAPI_TAG}#subdirectory=PythonAPI # buildkit
                        
# 2025-10-17 17:04:06  0.00B 设置环境变量 COCOAPI_VERSION
ENV COCOAPI_VERSION=2.0+nv0.8.1
                        
# 2025-10-17 17:04:06  709.91MB 执行命令并创建新的镜像层
RUN |8 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali /bin/sh -c if [ -z "${DALI_VERSION}" ] ; then   echo "Not Installing DALI for L4T Build." ; exit 0; fi   && export CUDA_VERSION_MAJOR=$(ls /usr/local/cuda/lib64/libcudart.so.*.*.* | cut -d . -f 3)   && export DALI_PKG_SUFFIX="cuda${CUDA_VERSION_MAJOR}0"   && if [ -z "${DALI_URL_SUFFIX}" ] ; then export DALI_EXTRA_INDEX_URL="${DALI_EXTRA_INDEX_URL}-qa/nvidia-dali-cudagpgpu"; fi   && pip install                 --extra-index-url https://developer.download.nvidia.com/compute/redist                 --extra-index-url "${DALI_EXTRA_INDEX_URL}"                 --extra-index-url "http://sqrl/nvdl/datasets/dali/misc"                 --trusted-host sqrl         nvidia-dali-${DALI_PKG_SUFFIX}==${DALI_VERSION} # buildkit
                        
# 2025-10-17 17:03:55  0.00B 定义构建参数
ARG DALI_EXTRA_INDEX_URL=http://sqrl/nvdl/datasets/dali/pip-dali
                        
# 2025-10-17 17:03:55  0.00B 设置环境变量 TRITON_CUPTI_PATH
ENV TRITON_CUPTI_PATH=/usr/local/cuda/include
                        
# 2025-10-17 17:03:55  0.00B 设置环境变量 TRITON_CUDART_PATH
ENV TRITON_CUDART_PATH=/usr/local/cuda/include
                        
# 2025-10-17 17:03:55  0.00B 设置环境变量 TRITON_CUDACRT_PATH
ENV TRITON_CUDACRT_PATH=/usr/local/cuda/include
                        
# 2025-10-17 17:03:55  0.00B 设置环境变量 TRITON_NVDISASM_PATH
ENV TRITON_NVDISASM_PATH=/usr/local/cuda/bin/nvdisasm
                        
# 2025-10-17 17:03:55  0.00B 设置环境变量 TRITON_CUOBJDUMP_PATH
ENV TRITON_CUOBJDUMP_PATH=/usr/local/cuda/bin/cuobjdump
                        
# 2025-10-17 17:03:55  0.00B 设置环境变量 TRITON_PTXAS_PATH
ENV TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas
                        
# 2025-10-17 17:03:55  796.95MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install --no-cache-dir /tmp/dist/*.whl # buildkit
                        
# 2025-10-17 17:03:50  70.48MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c cd pytorch && pip install -v -r /opt/pytorch/pytorch/requirements.txt # buildkit
                        
# 2025-10-17 17:03:47  440.99KB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c patchelf --set-soname libjpeg.so.62 --output /usr/local/lib/libjpeg.so.62 $(readlink -f $(ldd /usr/local/lib/python3.12/dist-packages/torchvision/image.so | grep libjpeg | awk '{print $3}')) # buildkit
                        
# 2025-10-17 17:03:46  0.00B 复制新文件或目录到容器中
COPY /usr/local/lib64/libjpeg* /usr/local/lib/ # buildkit
                        
# 2025-10-17 17:03:46  13.48MB 复制新文件或目录到容器中
COPY /usr/local/lib64/libtorchvision.so.1.0 /usr/local/lib/libtorchvision.so.1.0 # buildkit
                        
# 2025-10-17 17:03:46  398.75KB 复制新文件或目录到容器中
COPY /usr/local/include/torchvision/ /usr/local/include/torchvision/ # buildkit
                        
# 2025-10-17 17:03:46  9.02KB 复制新文件或目录到容器中
COPY /usr/local/share/cmake/TorchVision/ /usr/local/share/cmake/TorchVision/ # buildkit
                        
# 2025-10-17 17:03:46  1.38GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c echo "TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}"     && pip install /opt/transfer/torch*.whl     && patchelf --set-rpath '/usr/local/lib' /usr/local/lib/python${PYVER}/dist-packages/torch/lib/libtorch_global_deps.so # buildkit
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 TORCH_ALLOW_TF32_CUBLAS_OVERRIDE
ENV TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 CUDA_HOME
ENV CUDA_HOME=/usr/local/cuda
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 PYTORCH_HOME
ENV PYTORCH_HOME=/opt/pytorch/pytorch
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 TORCH_CUDA_ARCH_LIST
ENV TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0+PTX
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 UCC_EC_CUDA_EXEC_NUM_THREADS
ENV UCC_EC_CUDA_EXEC_NUM_THREADS=256
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 UCC_CL_BASIC_TLS
ENV UCC_CL_BASIC_TLS=^sharp
                        
# 2025-10-17 17:03:27  0.00B 声明容器运行时监听的端口
EXPOSE map[6006/tcp:{}]
                        
# 2025-10-17 17:03:27  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 TENSORBOARD_PORT
ENV TENSORBOARD_PORT=6006
                        
# 2025-10-17 17:03:27  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2025-10-17 17:03:27  248.00B 复制新文件或目录到容器中
COPY jupyter_config/settings.jupyterlab-settings /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/ # buildkit
                        
# 2025-10-17 17:03:27  236.00B 复制新文件或目录到容器中
COPY jupyter_config/manager.jupyterlab-settings /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/ # buildkit
                        
# 2025-10-17 17:03:27  519.00B 复制新文件或目录到容器中
COPY jupyter_config/jupyter_notebook_config.py /usr/local/etc/jupyter/ # buildkit
                        
# 2025-10-17 17:03:27  15.49MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install --no-cache-dir /builder/*.whl jupytext black isort  && mkdir -p /root/.jupyter/lab/user-settings/@jupyterlab/completer-extension/  && jupyter lab clean # buildkit
                        
# 2025-10-17 17:02:34  0.00B 设置工作目录为/opt/pytorch
WORKDIR /opt/pytorch
                        
# 2025-10-17 17:02:34  27.81KB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c PATCHED_FILE=$(python -c "from tensorboard.plugins.core import core_plugin as _; print(_.__file__)") &&     sed -i 's/^\( *"--bind_all",\)$/\1 default=True,/' "$PATCHED_FILE" &&     test $(grep '^ *"--bind_all", default=True,$' "$PATCHED_FILE" | wc -l) -eq 1 # buildkit
                        
# 2025-10-17 17:02:34  284.97MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c git config --global url."https://github".insteadOf git://github &&     pip install jupyterlab notebook tensorboard     jupyterlab_code_formatter python-hostlist # buildkit
                        
# 2025-10-17 17:02:19  2.12GB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install         numpy         scipy         PyYAML         astunparse         typing_extensions         cffi         mock         tqdm         librosa         expecttest         hypothesis         xdoctest         pytest         pytest-xdist         pytest-rerunfailures         pytest-shard         pytest-flakefinder         pybind11         Cython         regex         protobuf         six &&     if [[ $TARGETARCH = "amd64" ]] ; then pip install --no-cache-dir mkl mkl-include mkl-devel ;     find /usr/local/lib -maxdepth 1 -type f -regex '.*\/lib\(tbb\|mkl\).*\.so\($\|\.[0-9]*\.[0-9]*\)' -exec rm -v {} + ; fi # buildkit
                        
# 2025-10-17 17:01:42  0.00B 设置环境变量 PIP_DEFAULT_TIMEOUT
ENV PIP_DEFAULT_TIMEOUT=100
                        
# 2025-10-17 17:01:42  0.00B 设置环境变量 LC_ALL
ENV LC_ALL=C.UTF-8
                        
# 2025-10-17 17:01:42  0.00B 设置环境变量 PYTHONIOENCODING
ENV PYTHONIOENCODING=utf-8
                        
# 2025-10-17 17:01:42  1.85GB 复制新文件或目录到容器中
COPY . . # buildkit
                        
# 2025-10-17 17:01:30  0.00B 设置工作目录为/opt/pytorch
WORKDIR /opt/pytorch
                        
# 2025-10-17 17:01:30  0.00B 设置环境变量 NVPL_LAPACK_MATH_MODE
ENV NVPL_LAPACK_MATH_MODE=PEDANTIC
                        
# 2025-10-17 17:01:30  0.00B 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c if [ $TARGETARCH = "arm64" ]; then cd /opt &&     curl "https://gitlab-master.nvidia.com/api/v4/projects/105799/packages/generic/nvpl_slim_24.04/sbsa/nvpl_slim_24.04.tar" --output nvpl_slim_24.04.tar &&     tar -xf nvpl_slim_24.04.tar &&     cp -r nvpl_slim_24.04/lib/* /usr/local/lib &&     cp -r nvpl_slim_24.04/include/* /usr/local/include &&     rm -rf nvpl_slim_24.04.tar nvpl_slim_24.04 ; fi # buildkit
                        
# 2025-10-17 17:01:30  76.34MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c pip install pip setuptools &&     pip install cmake # buildkit
                        
# 2025-10-17 17:01:27  258.00B 复制新文件或目录到容器中
COPY constraint.txt /etc/pip/constraint.txt # buildkit
                        
# 2025-10-17 17:01:27  0.00B 设置环境变量 PIP_CONSTRAINT
ENV PIP_CONSTRAINT=/etc/pip/constraint.txt
                        
# 2025-10-17 17:01:27  11.98MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c curl -O https://bootstrap.pypa.io/get-pip.py &&     python get-pip.py &&     rm get-pip.py # buildkit
                        
# 2025-10-17 17:01:24  0.00B 设置环境变量 PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
                        
# 2025-10-17 17:01:24  226.60MB 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c export PYSFX=`echo "${PYVER}" | cut -c1-1` &&     export DEBIAN_FRONTEND=noninteractive &&     apt-get update &&     apt-get install -y --no-install-recommends         python$PYVER-dev         python$PYSFX         python$PYSFX-dev         python$PYSFX-venv         python-is-python$PYSFX         autoconf         automake         libatlas-base-dev         libgoogle-glog-dev         libbz2-dev         libc-ares2         libre2-dev         libleveldb-dev         liblmdb-dev         libprotobuf-dev         libsnappy-dev         libtool         nasm         protobuf-compiler         pkg-config         unzip         sox         libsndfile1         libpng-dev         libhdf5-dev         gfortran         rapidjson-dev         ninja-build         libedit-dev         build-essential         patchelf     && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-17 17:01:09  0.00B 执行命令并创建新的镜像层
RUN |7 NVIDIA_PYTORCH_VERSION=25.10 PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 NVFUSER_BUILD_VERSION=ed11f2b TARGETARCH=amd64 PYVER=3.12 L4T=0 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG L4T=0
                        
# 2025-10-17 17:01:09  0.00B 设置环境变量 PIP_BREAK_SYSTEM_PACKAGES
ENV PIP_BREAK_SYSTEM_PACKAGES=1
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG PYVER=3.12
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-10-17 17:01:09  0.00B 添加元数据标签
LABEL com.nvidia.pytorch.version=2.9.0a0+145a3a7
                        
# 2025-10-17 17:01:09  0.00B 设置环境变量 NVFUSER_BUILD_VERSION NVFUSER_VERSION
ENV NVFUSER_BUILD_VERSION=ed11f2b NVFUSER_VERSION=ed11f2b
                        
# 2025-10-17 17:01:09  0.00B 设置环境变量 PYTORCH_BUILD_VERSION PYTORCH_VERSION PYTORCH_BUILD_NUMBER NVIDIA_PYTORCH_VERSION
ENV PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7 PYTORCH_VERSION=2.9.0a0+145a3a7 PYTORCH_BUILD_NUMBER=0 NVIDIA_PYTORCH_VERSION=25.10
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG NVFUSER_BUILD_VERSION=ed11f2b
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7
                        
# 2025-10-17 17:01:09  0.00B 定义构建参数
ARG NVIDIA_PYTORCH_VERSION=25.10
                        
# 2025-10-17 17:01:09  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=PyTorch
                        
# 2025-10-17 08:25:40  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-10-17 08:25:40  0.00B 设置环境变量 LIBRARY_PATH
ENV LIBRARY_PATH=/usr/local/cuda/lib64/stubs:
                        
# 2025-10-17 08:25:40  1.45GB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /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
                        
# 2025-10-17 08:22:13  1.49KB 复制新文件或目录到容器中
COPY cuda-*.patch /tmp # buildkit
                        
# 2025-10-17 08:22:13  98.94MB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /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         libnuma-dev         libnuma1         libpmi2-0-dev         nano         numactl         openssh-client         vim         wget  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-17 08:22:05  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-10-17 08:22:05  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-10-17 08:06:10  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-10-17 08:06:10  0.00B 添加元数据标签
LABEL com.nvidia.nccl.version=2.27.7 com.nvidia.cublas.version=13.1.0.3 com.nvidia.cufft.version=12.0.0.61 com.nvidia.curand.version=10.4.0.35 com.nvidia.cusparse.version=12.6.3.3 com.nvidia.cusparselt.version=0.8.1.1 com.nvidia.cusolver.version=12.0.4.66 com.nvidia.npp.version=13.0.1.2 com.nvidia.nvjpeg.version=13.0.1.86 com.nvidia.cublasmp.version=0.6.0.84 com.nvidia.nvvm.version=13.0.88 com.nvidia.cudla.version=13.0.2.006 com.nvidia.cudnn.version=9.14.0.64 com.nvidia.tensorrt.version=10.13.3.9 com.nvidia.tensorrtoss.version= com.nvidia.nsightsystems.version=2025.5.1.121 com.nvidia.nsightcompute.version=2025.3.1.4
                        
# 2025-10-17 08:06:10  4.69GB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=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
                        
# 2025-10-17 08:05:12  597.51MB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-10-17 08:04:38  281.55MB 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         apt-utils         build-essential         libncurses6         libncursesw6         unzip         jq         gnupg         libtcmalloc-minimal4  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-17 08:04:30  0.00B 执行命令并创建新的镜像层
RUN |1 ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-10-17 08:04:30  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-10-17 07:56:58  0.00B 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c /tmp/manage_cert.sh uninstall # buildkit
                        
# 2025-10-17 07:56:58  467.00B 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c mkdir -p /workspace && cp -f -p /opt/nvidia/entrypoint.d/30-container-license.txt /workspace/license.txt # buildkit
                        
# 2025-10-17 07:56:57  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["/opt/nvidia/nvidia_entrypoint.sh"]
                        
# 2025-10-17 07:56:57  0.00B 设置环境变量 NVIDIA_PRODUCT_NAME
ENV NVIDIA_PRODUCT_NAME=CUDA
                        
# 2025-10-17 07:56:57  16.17KB 复制新文件或目录到容器中
COPY entrypoint/ /opt/nvidia/ # buildkit
                        
# 2025-10-17 07:56:57  35.27KB 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _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
                        
# 2025-10-17 07:56:57  5.01MB 复制新文件或目录到容器中
COPY /opt/amazon/aws-ofi-nccl /opt/amazon/aws-ofi-nccl # buildkit
                        
# 2025-10-17 07:56:57  104.09MB 执行命令并创建新的镜像层
RUN |47 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 _LIBPATH_SUFFIX= /bin/sh -c if [ -n "${DOCA_VERSION}" ] && dpkg --compare-versions "${HPCX_VERSION}" "ge" "2.24"; then         /nvidia/build-scripts/installDOCA.sh;     else         echo "Not running installDOCA.sh";     fi # buildkit
                        
# 2025-10-17 07:56:43  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
                        
# 2025-10-17 07:56:43  0.00B 定义构建参数
ARG _LIBPATH_SUFFIX=
                        
# 2025-10-17 07:56:43  46.00B 执行命令并创建新的镜像层
RUN |46 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13 /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
                        
# 2025-10-17 07:56:43  13.39KB 复制文件或目录到容器中
ADD docs.tgz / # buildkit
                        
# 2025-10-17 07:56:43  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 NVFATBIN_VERSION CUBLASMP_VERSION NVSHMEM_VERSION CUDLA_VERSION NVPTXCOMPILER_VERSION CUDNN_VERSION CUDNN_FRONTEND_VERSION TRT_VERSION TRTOSS_VERSION NSIGHT_SYSTEMS_VERSION NSIGHT_COMPUTE_VERSION DALI_VERSION DALI_BUILD DALI_URL_SUFFIX POLYGRAPHY_VERSION TRANSFORMER_ENGINE_VERSION MODEL_OPT_VERSION CUDA_ARCH_LIST MAXSMVER NVRX_VERSION
ENV NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSPARSELT_VERSION=0.8.1.1 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13
                        
# 2025-10-17 07:56:43  0.00B 定义构建参数
ARG NCCL_VERSION=2.27.7 CUBLAS_VERSION=13.1.0.3 CUFFT_VERSION=12.0.0.61 CURAND_VERSION=10.4.0.35 CUSPARSE_VERSION=12.6.3.3 CUSOLVER_VERSION=12.0.4.66 NPP_VERSION=13.0.1.2 NVJPEG_VERSION=13.0.1.86 CUFILE_VERSION=1.15.1.6 NVJITLINK_VERSION=13.0.88 NVFATBIN_VERSION=13.0.85 CUBLASMP_VERSION=0.6.0.84 NVSHMEM_VERSION=3.4.5 CUDLA_VERSION=13.0.2.006 NVPTXCOMPILER_VERSION=13.0.88 CUDNN_VERSION=9.14.0.64 CUDNN_FRONTEND_VERSION=1.14.1 TRT_VERSION=10.13.3.9 TRTOSS_VERSION= NSIGHT_SYSTEMS_VERSION=2025.5.1.121 NSIGHT_COMPUTE_VERSION=2025.3.1.4 CUSPARSELT_VERSION=0.8.1.1 DALI_VERSION=1.51.2 DALI_BUILD= DALI_URL_SUFFIX=130 POLYGRAPHY_VERSION=0.49.26 TRANSFORMER_ENGINE_VERSION=2.8 MODEL_OPT_VERSION=0.35.1 CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0 MAXSMVER= NVRX_VERSION=0.4.1+cuda13
                        
# 2025-10-17 07:56:43  0.00B 添加元数据标签
LABEL com.nvidia.volumes.needed=nvidia_driver com.nvidia.cuda.version=9.0
                        
# 2025-10-17 07:56:43  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
                        
# 2025-10-17 07:56:43  57.02KB 执行命令并创建新的镜像层
RUN |15 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 /bin/sh -c cp -vprd /nvidia/. /  &&  patch -p0 < /etc/startup_scripts.patch  &&  rm -f /etc/startup_scripts.patch # buildkit
                        
# 2025-10-17 07:56:43  366.93MB 执行命令并创建新的镜像层
RUN |15 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0 /bin/sh -c BASE=min /nvidia/build-scripts/installCUDA.sh # buildkit
                        
# 2025-10-17 07:24:37  0.00B 设置环境变量 CUDA_VERSION CUDA_DRIVER_VERSION NVVM_VERSION DOCA_VERSION
ENV CUDA_VERSION=13.0.2.006 CUDA_DRIVER_VERSION=580.95.05 NVVM_VERSION=13.0.88 DOCA_VERSION=3.1.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG DOCA_VERSION=3.1.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG NVVM_VERSION=13.0.88
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG CUDA_DRIVER_VERSION=580.95.05
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG CUDA_VERSION=13.0.2.006
                        
# 2025-10-17 07:24:37  0.00B 设置环境变量 OMPI_MCA_coll_hcoll_enable
ENV OMPI_MCA_coll_hcoll_enable=0
                        
# 2025-10-17 07:24:37  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
                        
# 2025-10-17 07:24:37  236.76MB 执行命令并创建新的镜像层
RUN |11 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 GDRCOPY_VERSION=2.5.1 HPCX_VERSION=2.24.1 RDMACORE_VERSION=56.0 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0 TARGETARCH=amd64 /bin/sh -c cd /nvidia  && ( cd opt/rdma-core/                            && dpkg -i libibverbs1_*.deb                            libibverbs-dev_*.deb                         librdmacm1_*.deb                             librdmacm-dev_*.deb                          libibumad3_*.deb                             libibumad-dev_*.deb                          ibverbs-utils_*.deb                          ibverbs-providers_*.deb           && 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
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG TARGETARCH=amd64
                        
# 2025-10-17 07:24:37  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=2.5.1 HPCX_VERSION=2.24.1 MOFED_VERSION=5.4-rdmacore56.0 OPENUCX_VERSION=1.19.0 OPENMPI_VERSION=4.1.7 RDMACORE_VERSION=56.0 EFA_VERSION=1.38.1 AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG AWS_OFI_NCCL_VERSION=1.14.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG EFA_VERSION=1.38.1
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG OPENMPI_VERSION=4.1.7
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG OPENUCX_VERSION=1.19.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG MOFED_VERSION=5.4-rdmacore56.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG RDMACORE_VERSION=56.0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG HPCX_VERSION=2.24.1
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG GDRCOPY_VERSION=2.5.1
                        
# 2025-10-17 07:24:37  9.32MB 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends         adduser         curl         libnl-route-3-200         libnl-3-200         libnl-3-dev         libnl-route-3-dev         patch         wget  && rm -rf /var/lib/apt/lists/*  && echo "hsts=0" > /root/.wgetrc # buildkit
                        
# 2025-10-17 07:24:37  0.00B 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-10-17 07:24:37  3.01MB 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c if [ -d /usr/share/ca-certificates ]; then exit; fi  && export DEBIAN_FRONTEND=noninteractive  && apt-get update  && apt-get install -y --no-install-recommends ca-certificates  && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2025-10-17 07:24:37  0.00B 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /bin/sh -c /tmp/manage_cert.sh install # buildkit
                        
# 2025-10-17 07:24:37  0.00B 执行命令并创建新的镜像层
RUN |2 JETPACK_HOST_MOUNTS= ENABLE_MITMPROXY=0 /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
                        
# 2025-10-17 07:24:37  0.00B 设置环境变量 NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS
ENV NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG ENABLE_MITMPROXY=0
                        
# 2025-10-17 07:24:37  0.00B 定义构建参数
ARG JETPACK_HOST_MOUNTS=
                        
# 2025-10-01 21:01:37  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2025-10-01 21:01:37  78.12MB 
/bin/sh -c #(nop) ADD file:249778a1782b02a1c2bcf9f292f5778d81442a53c3de1958d712f10baf7e0b60 in / 
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=24.04
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2025-10-01 21:01:35  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

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    "Id": "sha256:56a190ec4aa805460cd465590a49b53ef146bd2792761f7a23150ffe3180f3db",
    "RepoTags": [
        "sandai/magi-2-preview:latest",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview:latest"
    ],
    "RepoDigests": [
        "sandai/magi-2-preview@sha256:a81785240796338b9552bade5e62721aabace4a80dd1b30a9bdaa2651821b020",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/sandai/magi-2-preview@sha256:a81785240796338b9552bade5e62721aabace4a80dd1b30a9bdaa2651821b020"
    ],
    "Parent": "",
    "Comment": "",
    "Created": "2026-08-05T04:49:10.270631197Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "28.4.0",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "6006/tcp": {},
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/usr/local/cuda/bin:/usr/local/lib/python3.12/dist-packages/torch_tensorrt/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:/opt/tensorrt/bin",
            "NVIDIA_REQUIRE_JETPACK_HOST_MOUNTS=",
            "GDRCOPY_VERSION=2.5.1",
            "HPCX_VERSION=2.24.1",
            "MOFED_VERSION=5.4-rdmacore56.0",
            "OPENUCX_VERSION=1.19.0",
            "OPENMPI_VERSION=4.1.7",
            "RDMACORE_VERSION=56.0",
            "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=13.0.2.006",
            "CUDA_DRIVER_VERSION=580.95.05",
            "NVVM_VERSION=13.0.88",
            "DOCA_VERSION=3.1.0",
            "_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=2.27.7",
            "CUBLAS_VERSION=13.1.0.3",
            "CUFFT_VERSION=12.0.0.61",
            "CURAND_VERSION=10.4.0.35",
            "CUSPARSE_VERSION=12.6.3.3",
            "CUSPARSELT_VERSION=0.8.1.1",
            "CUSOLVER_VERSION=12.0.4.66",
            "NPP_VERSION=13.0.1.2",
            "NVJPEG_VERSION=13.0.1.86",
            "CUFILE_VERSION=1.15.1.6",
            "NVJITLINK_VERSION=13.0.88",
            "NVFATBIN_VERSION=13.0.85",
            "CUBLASMP_VERSION=0.6.0.84",
            "NVSHMEM_VERSION=3.4.5",
            "CUDLA_VERSION=13.0.2.006",
            "NVPTXCOMPILER_VERSION=13.0.88",
            "CUDNN_VERSION=9.14.0.64",
            "CUDNN_FRONTEND_VERSION=1.14.1",
            "TRT_VERSION=10.13.3.9",
            "TRTOSS_VERSION=",
            "NSIGHT_SYSTEMS_VERSION=2025.5.1.121",
            "NSIGHT_COMPUTE_VERSION=2025.3.1.4",
            "DALI_VERSION=1.51.2",
            "DALI_BUILD=",
            "DALI_URL_SUFFIX=130",
            "POLYGRAPHY_VERSION=0.49.26",
            "TRANSFORMER_ENGINE_VERSION=2.8",
            "MODEL_OPT_VERSION=0.35.1",
            "CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0",
            "MAXSMVER=",
            "NVRX_VERSION=0.4.1+cuda13",
            "LD_LIBRARY_PATH=/usr/local/cuda/lib64:/usr/local/lib/python3.12/dist-packages/torch/lib:/usr/local/lib/python3.12/dist-packages/torch_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=PyTorch",
            "LIBRARY_PATH=/usr/local/cuda/lib64/stubs:",
            "PYTORCH_BUILD_VERSION=2.9.0a0+145a3a7",
            "PYTORCH_VERSION=2.9.0a0+145a3a7",
            "PYTORCH_BUILD_NUMBER=0",
            "NVIDIA_PYTORCH_VERSION=25.10",
            "NVFUSER_BUILD_VERSION=ed11f2b",
            "NVFUSER_VERSION=ed11f2b",
            "PIP_BREAK_SYSTEM_PACKAGES=1",
            "PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python",
            "PIP_CONSTRAINT=/etc/pip/constraint.txt",
            "NVPL_LAPACK_MATH_MODE=PEDANTIC",
            "PYTHONIOENCODING=utf-8",
            "LC_ALL=C.UTF-8",
            "PIP_DEFAULT_TIMEOUT=100",
            "JUPYTER_PORT=8888",
            "TENSORBOARD_PORT=6006",
            "UCC_CL_BASIC_TLS=^sharp",
            "UCC_EC_CUDA_EXEC_NUM_THREADS=256",
            "TORCH_CUDA_ARCH_LIST=7.5 8.0 8.6 9.0 10.0 12.0+PTX",
            "PYTORCH_HOME=/opt/pytorch/pytorch",
            "CUDA_HOME=/usr/local/cuda",
            "TORCH_ALLOW_TF32_CUBLAS_OVERRIDE=1",
            "TRITON_PTXAS_PATH=/usr/local/cuda/bin/ptxas",
            "TRITON_CUOBJDUMP_PATH=/usr/local/cuda/bin/cuobjdump",
            "TRITON_NVDISASM_PATH=/usr/local/cuda/bin/nvdisasm",
            "TRITON_CUDACRT_PATH=/usr/local/cuda/include",
            "TRITON_CUDART_PATH=/usr/local/cuda/include",
            "TRITON_CUPTI_PATH=/usr/local/cuda/include",
            "COCOAPI_VERSION=2.0+nv0.8.1",
            "CUDA_MODULE_LOADING=LAZY",
            "TORCH_NCCL_USE_COMM_NONBLOCKING=0",
            "NVIDIA_BUILD_ID=222058774",
            "PIP_INDEX_URL=https://pypi.org/simple",
            "PIP_NO_CACHE_DIR=1",
            "PIP_DISABLE_PIP_VERSION_CHECK=1",
            "PYTHONDONTWRITEBYTECODE=1",
            "MAGI_COMPILE_CACHE_ROOT_DIR=/tmp/magi_compiler_cache",
            "MAGI_ATTENTION_WORKSPACE_BASE=/tmp/magi_attention",
            "PYTORCH_ALLOC_CONF=expandable_segments:True",
            "NCCL_ALGO=^NVLS"
        ],
        "Cmd": [
            "bash"
        ],
        "Image": "sha256:f9d6c8dc2082e7e9bae1316f167c4564098ed3a43b9fa00df5260b2e1d1cd9e5",
        "Volumes": null,
        "WorkingDir": "/workspace",
        "Entrypoint": [
            "/opt/nvidia/nvidia_entrypoint.sh"
        ],
        "OnBuild": null,
        "Labels": {
            "com.nvidia.build.id": "222058774",
            "com.nvidia.build.ref": "b3a219ee36b8fb6bf33353e548d995ed552ccbfa",
            "com.nvidia.cublas.version": "13.1.0.3",
            "com.nvidia.cublasmp.version": "0.6.0.84",
            "com.nvidia.cuda.version": "9.0",
            "com.nvidia.cudla.version": "13.0.2.006",
            "com.nvidia.cudnn.version": "9.14.0.64",
            "com.nvidia.cufft.version": "12.0.0.61",
            "com.nvidia.curand.version": "10.4.0.35",
            "com.nvidia.cusolver.version": "12.0.4.66",
            "com.nvidia.cusparse.version": "12.6.3.3",
            "com.nvidia.cusparselt.version": "0.8.1.1",
            "com.nvidia.nccl.version": "2.27.7",
            "com.nvidia.npp.version": "13.0.1.2",
            "com.nvidia.nsightcompute.version": "2025.3.1.4",
            "com.nvidia.nsightsystems.version": "2025.5.1.121",
            "com.nvidia.nvjpeg.version": "13.0.1.86",
            "com.nvidia.nvvm.version": "13.0.88",
            "com.nvidia.pytorch.version": "2.9.0a0+145a3a7",
            "com.nvidia.tensorrt.version": "10.13.3.9",
            "com.nvidia.tensorrtoss.version": "",
            "com.nvidia.volumes.needed": "nvidia_driver",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "24.04"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 28111925163,
    "GraphDriver": {
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            "sha256:2e4822e8ec96d410d646a5a292be4bbfd67b29364b09a7d09ece4c02c29be3f2",
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            "sha256:97d5187aca71bf5a921fdc3edd4552e58881bc32a29cd120a9fd09c7bd2641ed"
        ]
    },
    "Metadata": {
        "LastTagTime": "2026-08-09T07:02:18.14037192+08:00"
    }
}

更多版本

docker.io/sandai/magi-2-preview:latest

linux/amd64 docker.io28.11GB2026-08-09 07:12
12
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