NVIDIA-Linux-x86_64-470.63.01-grid.run 部署到云 运行 的问题
Problems with NVIDIA-Linux-x86_64-470.63.01-grid.run to Deploy to Cloud Run
我正在尝试在 google 云上进行部署。所以，我的 Dockerfile :
FROM ubuntu:20.04
RUN apt update
RUN apt -y install sudo
RUN apt -y install curl
RUN sudo apt install -y build-essential
RUN curl -O https://storage.googleapis.com/nvidia-drivers-us-public/GRID/GRID13.0/NVIDIA-Linux-x86_64-470.63.01-grid.run
RUN chmod +x NVIDIA-Linux-x86_64-470.63.01-grid.run
RUN sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run
FROM python:3.8
RUN adduser meat
RUN passwd -d meat
USER meat
WORKDIR /home/meat
RUN python3 -m venv meat-env
RUN /bin/bash -c "source meat-env/bin/activate"
RUN /usr/local/bin/python -m pip install --upgrade pip
COPY requirements.txt .
RUN pip3 install -r requirements.txt
COPY . .
CMD ["python", "main.py"]
我收到了这个错误：
Step 8/20 : RUN sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run
---> Running in 811998f9cea8
Verifying archive integrity...
OK
Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 470.63.01
...............
后面还有几个点(.)
[91mError opening terminal: unknown.
[0m
unable to stream build output: The command '/bin/sh -c sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run' returned a non-zero code: 1
Failed to build the app. Error: unable to stream build output: The command '/bin/sh -c sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run' returned a non-zero code: 1
我的 Dockerfile 有问题？或者是否有不同的方式来执行命令？
@DazWilkin 的评论是正确的：
It's not possible to install graphics driver to Cloud Run fully managed because it doesn't expose any GPU.
您应该将其部署在云端 运行 Anthos(GKE)。但是您需要配置您的 GKE 集群来安装您的 GPU，根据 documentation，您应该按照以下步骤操作：
In this step, you can enable Enable Virtual Workstation (NVIDIA GRID). Please choose a GPU such as NVIDIA Tesla T4, P4 or P100 to enable NVIDIA GRID.
您现在可以创建一个服务来使用 GPU 并将图像部署到 Cloud 运行 for Anthos：
我正在尝试在 google 云上进行部署。所以，我的 Dockerfile :
FROM ubuntu:20.04
RUN apt update
RUN apt -y install sudo
RUN apt -y install curl
RUN sudo apt install -y build-essential
RUN curl -O https://storage.googleapis.com/nvidia-drivers-us-public/GRID/GRID13.0/NVIDIA-Linux-x86_64-470.63.01-grid.run
RUN chmod +x NVIDIA-Linux-x86_64-470.63.01-grid.run
RUN sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run
FROM python:3.8
RUN adduser meat
RUN passwd -d meat
USER meat
WORKDIR /home/meat
RUN python3 -m venv meat-env
RUN /bin/bash -c "source meat-env/bin/activate"
RUN /usr/local/bin/python -m pip install --upgrade pip
COPY requirements.txt .
RUN pip3 install -r requirements.txt
COPY . .
CMD ["python", "main.py"]
我收到了这个错误：
Step 8/20 : RUN sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run
---> Running in 811998f9cea8
Verifying archive integrity...
OK
Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 470.63.01
...............
后面还有几个点(.)
[91mError opening terminal: unknown.
[0m
unable to stream build output: The command '/bin/sh -c sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run' returned a non-zero code: 1
Failed to build the app. Error: unable to stream build output: The command '/bin/sh -c sudo /bin/bash NVIDIA-Linux-x86_64-470.63.01-grid.run' returned a non-zero code: 1
我的 Dockerfile 有问题？或者是否有不同的方式来执行命令？
@DazWilkin 的评论是正确的：
It's not possible to install graphics driver to Cloud Run fully managed because it doesn't expose any GPU.
您应该将其部署在云端 运行 Anthos(GKE)。但是您需要配置您的 GKE 集群来安装您的 GPU，根据 documentation，您应该按照以下步骤操作：
In this step, you can enable Enable Virtual Workstation (NVIDIA GRID). Please choose a GPU such as NVIDIA Tesla T4, P4 or P100 to enable NVIDIA GRID.
您现在可以创建一个服务来使用 GPU 并将图像部署到 Cloud 运行 for Anthos：