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update
This commit is contained in:
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85
docker/Dockerfile
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85
docker/Dockerfile
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@ -0,0 +1,85 @@
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# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds ultralytics/ultralytics:latest image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference
|
||||
|
||||
# Start FROM PyTorch image https://hub.docker.com/r/pytorch/pytorch or nvcr.io/nvidia/pytorch:23.03-py3
|
||||
FROM pytorch/pytorch:2.2.0-cuda12.1-cudnn8-runtime
|
||||
RUN pip install --no-cache nvidia-tensorrt --index-url https://pypi.ngc.nvidia.com
|
||||
|
||||
# Downloads to user config dir
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
|
||||
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
|
||||
/root/.config/Ultralytics/
|
||||
|
||||
# Install linux packages
|
||||
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
|
||||
RUN apt update \
|
||||
&& apt install --no-install-recommends -y gcc git zip curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
|
||||
|
||||
# Security updates
|
||||
# https://security.snyk.io/vuln/SNYK-UBUNTU1804-OPENSSL-3314796
|
||||
RUN apt upgrade --no-install-recommends -y openssl tar
|
||||
|
||||
# Create working directory
|
||||
WORKDIR /usr/src/ultralytics
|
||||
|
||||
# Copy contents
|
||||
# COPY . /usr/src/ultralytics # git permission issues inside container
|
||||
RUN git clone https://github.com/ultralytics/ultralytics -b main /usr/src/ultralytics
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt /usr/src/ultralytics/
|
||||
|
||||
# Install pip packages
|
||||
RUN python3 -m pip install --upgrade pip wheel
|
||||
RUN pip install --no-cache -e ".[export]" albumentations comet pycocotools
|
||||
|
||||
# Run exports to AutoInstall packages
|
||||
# Edge TPU export fails the first time so is run twice here
|
||||
RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32 || yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
|
||||
RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
|
||||
# Requires <= Python 3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
|
||||
RUN pip install --no-cache paddlepaddle>=2.6.0 x2paddle
|
||||
# Fix error: `np.bool` was a deprecated alias for the builtin `bool` segmentation error in Tests
|
||||
RUN pip install --no-cache numpy==1.23.5
|
||||
# Remove exported models
|
||||
RUN rm -rf tmp
|
||||
|
||||
# Set environment variables
|
||||
ENV OMP_NUM_THREADS=1
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||||
# Avoid DDP error "MKL_THREADING_LAYER=INTEL is incompatible with libgomp.so.1 library" https://github.com/pytorch/pytorch/issues/37377
|
||||
ENV MKL_THREADING_LAYER=GNU
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||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest && sudo docker build -f docker/Dockerfile -t $t . && sudo docker push $t
|
||||
|
||||
# Pull and Run with access to all GPUs
|
||||
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all $t
|
||||
|
||||
# Pull and Run with access to GPUs 2 and 3 (inside container CUDA devices will appear as 0 and 1)
|
||||
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus '"device=2,3"' $t
|
||||
|
||||
# Pull and Run with local directory access
|
||||
# t=ultralytics/ultralytics:latest && sudo docker pull $t && sudo docker run -it --ipc=host --gpus all -v "$(pwd)"/datasets:/usr/src/datasets $t
|
||||
|
||||
# Kill all
|
||||
# sudo docker kill $(sudo docker ps -q)
|
||||
|
||||
# Kill all image-based
|
||||
# sudo docker kill $(sudo docker ps -qa --filter ancestor=ultralytics/ultralytics:latest)
|
||||
|
||||
# DockerHub tag update
|
||||
# t=ultralytics/ultralytics:latest tnew=ultralytics/ultralytics:v6.2 && sudo docker pull $t && sudo docker tag $t $tnew && sudo docker push $tnew
|
||||
|
||||
# Clean up
|
||||
# sudo docker system prune -a --volumes
|
||||
|
||||
# Update Ubuntu drivers
|
||||
# https://www.maketecheasier.com/install-nvidia-drivers-ubuntu/
|
||||
|
||||
# DDP test
|
||||
# python -m torch.distributed.run --nproc_per_node 2 --master_port 1 train.py --epochs 3
|
||||
|
||||
# GCP VM from Image
|
||||
# docker.io/ultralytics/ultralytics:latest
|
||||
51
docker/Dockerfile-arm64
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51
docker/Dockerfile-arm64
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|
||||
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds ultralytics/ultralytics:latest-arm64 image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Image is aarch64-compatible for Apple M1, M2, M3, Raspberry Pi and other ARM architectures
|
||||
|
||||
# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu with "FROM arm64v8/ubuntu:22.04" (deprecated)
|
||||
# Start FROM Debian image for arm64v8 https://hub.docker.com/r/arm64v8/debian (new)
|
||||
FROM arm64v8/debian:bookworm-slim
|
||||
|
||||
# Downloads to user config dir
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
|
||||
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
|
||||
/root/.config/Ultralytics/
|
||||
|
||||
# Install linux packages
|
||||
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
|
||||
# cmake and build-essential is needed to build onnxsim when exporting to tflite
|
||||
RUN apt update \
|
||||
&& apt install --no-install-recommends -y python3-pip git zip curl htop gcc libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0 build-essential
|
||||
|
||||
# Create working directory
|
||||
WORKDIR /usr/src/ultralytics
|
||||
|
||||
# Copy contents
|
||||
# COPY . /usr/src/ultralytics # git permission issues inside container
|
||||
RUN git clone https://github.com/ultralytics/ultralytics -b main /usr/src/ultralytics
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt /usr/src/ultralytics/
|
||||
|
||||
# Remove python3.11/EXTERNALLY-MANAGED to avoid 'externally-managed-environment' issue, Debian 12 Bookworm error
|
||||
RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
|
||||
|
||||
# Install pip packages
|
||||
RUN python3 -m pip install --upgrade pip wheel
|
||||
RUN pip install --no-cache -e ".[export]"
|
||||
|
||||
# Creates a symbolic link to make 'python' point to 'python3'
|
||||
RUN ln -sf /usr/bin/python3 /usr/bin/python
|
||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest-arm64 && sudo docker build --platform linux/arm64 -f docker/Dockerfile-arm64 -t $t . && sudo docker push $t
|
||||
|
||||
# Run
|
||||
# t=ultralytics/ultralytics:latest-arm64 && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run
|
||||
# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run with local volume mounted
|
||||
# t=ultralytics/ultralytics:latest-arm64 && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
|
||||
40
docker/Dockerfile-conda
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40
docker/Dockerfile-conda
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@ -0,0 +1,40 @@
|
||||
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds ultralytics/ultralytics:latest-conda image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Image is optimized for Ultralytics Anaconda (https://anaconda.org/conda-forge/ultralytics) installation and usage
|
||||
|
||||
# Start FROM miniconda3 image https://hub.docker.com/r/continuumio/miniconda3
|
||||
FROM continuumio/miniconda3:latest
|
||||
|
||||
# Downloads to user config dir
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
|
||||
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
|
||||
/root/.config/Ultralytics/
|
||||
|
||||
# Install linux packages
|
||||
RUN apt update \
|
||||
&& apt install --no-install-recommends -y libgl1
|
||||
|
||||
# Copy contents
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt .
|
||||
|
||||
# Install conda packages
|
||||
# mkl required to fix 'OSError: libmkl_intel_lp64.so.2: cannot open shared object file: No such file or directory'
|
||||
RUN conda config --set solver libmamba && \
|
||||
conda install pytorch torchvision pytorch-cuda=11.8 -c pytorch -c nvidia && \
|
||||
conda install -c conda-forge ultralytics mkl
|
||||
# conda install -c pytorch -c nvidia -c conda-forge pytorch torchvision pytorch-cuda=11.8 ultralytics mkl
|
||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest-conda && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t
|
||||
|
||||
# Run
|
||||
# t=ultralytics/ultralytics:latest-conda && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run
|
||||
# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run with local volume mounted
|
||||
# t=ultralytics/ultralytics:latest-conda && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
|
||||
57
docker/Dockerfile-cpu
Normal file
57
docker/Dockerfile-cpu
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@ -0,0 +1,57 @@
|
||||
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
|
||||
|
||||
# Start FROM Ubuntu image https://hub.docker.com/_/ubuntu
|
||||
FROM ubuntu:23.10
|
||||
|
||||
# Downloads to user config dir
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
|
||||
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
|
||||
/root/.config/Ultralytics/
|
||||
|
||||
# Install linux packages
|
||||
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
|
||||
RUN apt update \
|
||||
&& apt install --no-install-recommends -y python3-pip git zip curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
|
||||
|
||||
# Create working directory
|
||||
WORKDIR /usr/src/ultralytics
|
||||
|
||||
# Copy contents
|
||||
# COPY . /usr/src/ultralytics # git permission issues inside container
|
||||
RUN git clone https://github.com/ultralytics/ultralytics -b main /usr/src/ultralytics
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt /usr/src/ultralytics/
|
||||
|
||||
# Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
|
||||
RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
|
||||
|
||||
# Install pip packages
|
||||
RUN python3 -m pip install --upgrade pip wheel
|
||||
RUN pip install --no-cache -e ".[export]" --extra-index-url https://download.pytorch.org/whl/cpu
|
||||
|
||||
# Run exports to AutoInstall packages
|
||||
RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
|
||||
RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
|
||||
# Requires <= Python 3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
|
||||
# RUN pip install --no-cache paddlepaddle>=2.6.0 x2paddle
|
||||
# Remove exported models
|
||||
RUN rm -rf tmp
|
||||
|
||||
# Creates a symbolic link to make 'python' point to 'python3'
|
||||
RUN ln -sf /usr/bin/python3 /usr/bin/python
|
||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest-cpu && sudo docker build -f docker/Dockerfile-cpu -t $t . && sudo docker push $t
|
||||
|
||||
# Run
|
||||
# t=ultralytics/ultralytics:latest-cpu && sudo docker run -it --ipc=host --name NAME $t
|
||||
|
||||
# Pull and Run
|
||||
# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host --name NAME $t
|
||||
|
||||
# Pull and Run with local volume mounted
|
||||
# t=ultralytics/ultralytics:latest-cpu && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
|
||||
50
docker/Dockerfile-jetson
Normal file
50
docker/Dockerfile-jetson
Normal file
@ -0,0 +1,50 @@
|
||||
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds ultralytics/ultralytics:jetson image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Supports JetPack for YOLOv8 on Jetson Nano, TX1/TX2, Xavier NX, AGX Xavier, AGX Orin, and Orin NX
|
||||
|
||||
# Start FROM https://catalog.ngc.nvidia.com/orgs/nvidia/containers/l4t-pytorch
|
||||
FROM nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
|
||||
|
||||
# Downloads to user config dir
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
|
||||
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
|
||||
/root/.config/Ultralytics/
|
||||
|
||||
# Install linux packages
|
||||
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
|
||||
RUN apt update \
|
||||
&& apt install --no-install-recommends -y gcc git zip curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
|
||||
|
||||
# Create working directory
|
||||
WORKDIR /usr/src/ultralytics
|
||||
|
||||
# Copy contents
|
||||
# COPY . /usr/src/ultralytics # git permission issues inside container
|
||||
RUN git clone https://github.com/ultralytics/ultralytics -b main /usr/src/ultralytics
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt /usr/src/ultralytics/
|
||||
|
||||
# Remove opencv-python from Ultralytics dependencies as it conflicts with opencv-python installed in base image
|
||||
RUN grep -v "opencv-python" pyproject.toml > temp.toml && mv temp.toml pyproject.toml
|
||||
|
||||
# Install pip packages manually for TensorRT compatibility https://github.com/NVIDIA/TensorRT/issues/2567
|
||||
RUN python3 -m pip install --upgrade pip wheel
|
||||
RUN pip install --no-cache tqdm matplotlib pyyaml psutil pandas onnx "numpy==1.23"
|
||||
RUN pip install --no-cache -e .
|
||||
|
||||
# Set environment variables
|
||||
ENV OMP_NUM_THREADS=1
|
||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest-jetson && sudo docker build --platform linux/arm64 -f docker/Dockerfile-jetson -t $t . && sudo docker push $t
|
||||
|
||||
# Run
|
||||
# t=ultralytics/ultralytics:latest-jetson && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run
|
||||
# t=ultralytics/ultralytics:latest-jetson && sudo docker pull $t && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run with NVIDIA runtime
|
||||
# t=ultralytics/ultralytics:latest-jetson && sudo docker pull $t && sudo docker run -it --ipc=host --runtime=nvidia $t
|
||||
54
docker/Dockerfile-python
Normal file
54
docker/Dockerfile-python
Normal file
@ -0,0 +1,54 @@
|
||||
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds ultralytics/ultralytics:latest-cpu image on DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Image is CPU-optimized for ONNX, OpenVINO and PyTorch YOLOv8 deployments
|
||||
|
||||
# Use the official Python 3.10 slim-bookworm as base image
|
||||
FROM python:3.10-slim-bookworm
|
||||
|
||||
# Downloads to user config dir
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.ttf \
|
||||
https://github.com/ultralytics/assets/releases/download/v0.0.0/Arial.Unicode.ttf \
|
||||
/root/.config/Ultralytics/
|
||||
|
||||
# Install linux packages
|
||||
# g++ required to build 'tflite_support' and 'lap' packages, libusb-1.0-0 required for 'tflite_support' package
|
||||
RUN apt update \
|
||||
&& apt install --no-install-recommends -y python3-pip git zip curl htop libgl1 libglib2.0-0 libpython3-dev gnupg g++ libusb-1.0-0
|
||||
|
||||
# Create working directory
|
||||
WORKDIR /usr/src/ultralytics
|
||||
|
||||
# Copy contents
|
||||
# COPY . /usr/src/ultralytics # git permission issues inside container
|
||||
RUN git clone https://github.com/ultralytics/ultralytics -b main /usr/src/ultralytics
|
||||
ADD https://github.com/ultralytics/assets/releases/download/v8.1.0/yolov8n.pt /usr/src/ultralytics/
|
||||
|
||||
# Remove python3.11/EXTERNALLY-MANAGED or use 'pip install --break-system-packages' avoid 'externally-managed-environment' Ubuntu nightly error
|
||||
# RUN rm -rf /usr/lib/python3.11/EXTERNALLY-MANAGED
|
||||
|
||||
# Install pip packages
|
||||
RUN python3 -m pip install --upgrade pip wheel
|
||||
RUN pip install --no-cache -e ".[export]" --extra-index-url https://download.pytorch.org/whl/cpu
|
||||
|
||||
# Run exports to AutoInstall packages
|
||||
RUN yolo export model=tmp/yolov8n.pt format=edgetpu imgsz=32
|
||||
RUN yolo export model=tmp/yolov8n.pt format=ncnn imgsz=32
|
||||
# Requires <= Python 3.10, bug with paddlepaddle==2.5.0 https://github.com/PaddlePaddle/X2Paddle/issues/991
|
||||
RUN pip install --no-cache paddlepaddle>=2.6.0 x2paddle
|
||||
# Remove exported models
|
||||
RUN rm -rf tmp
|
||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest-python && sudo docker build -f docker/Dockerfile-python -t $t . && sudo docker push $t
|
||||
|
||||
# Run
|
||||
# t=ultralytics/ultralytics:latest-python && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run
|
||||
# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host $t
|
||||
|
||||
# Pull and Run with local volume mounted
|
||||
# t=ultralytics/ultralytics:latest-python && sudo docker pull $t && sudo docker run -it --ipc=host -v "$(pwd)"/datasets:/usr/src/datasets $t
|
||||
38
docker/Dockerfile-runner
Normal file
38
docker/Dockerfile-runner
Normal file
@ -0,0 +1,38 @@
|
||||
# Ultralytics YOLO 🚀, AGPL-3.0 license
|
||||
# Builds GitHub actions CI runner image for deployment to DockerHub https://hub.docker.com/r/ultralytics/ultralytics
|
||||
# Image is CUDA-optimized for YOLOv8 single/multi-GPU training and inference tests
|
||||
|
||||
# Start FROM Ultralytics GPU image
|
||||
FROM ultralytics/ultralytics:latest
|
||||
|
||||
# Set the working directory
|
||||
WORKDIR /actions-runner
|
||||
|
||||
# Download and unpack the latest runner from https://github.com/actions/runner
|
||||
RUN FILENAME=actions-runner-linux-x64-2.309.0.tar.gz && \
|
||||
curl -o $FILENAME -L https://github.com/actions/runner/releases/download/v2.309.0/$FILENAME && \
|
||||
tar xzf $FILENAME && \
|
||||
rm $FILENAME
|
||||
|
||||
# Install runner dependencies
|
||||
ENV RUNNER_ALLOW_RUNASROOT=1
|
||||
ENV DEBIAN_FRONTEND=noninteractive
|
||||
RUN ./bin/installdependencies.sh && \
|
||||
apt-get -y install libicu-dev
|
||||
|
||||
# Inline ENTRYPOINT command to configure and start runner with default TOKEN and NAME
|
||||
ENTRYPOINT sh -c './config.sh --url https://github.com/ultralytics/ultralytics \
|
||||
--token ${GITHUB_RUNNER_TOKEN:-TOKEN} \
|
||||
--name ${GITHUB_RUNNER_NAME:-NAME} \
|
||||
--labels gpu-latest \
|
||||
--replace && \
|
||||
./run.sh'
|
||||
|
||||
|
||||
# Usage Examples -------------------------------------------------------------------------------------------------------
|
||||
|
||||
# Build and Push
|
||||
# t=ultralytics/ultralytics:latest-runner && sudo docker build -f docker/Dockerfile-runner -t $t . && sudo docker push $t
|
||||
|
||||
# Pull and Run in detached mode with access to GPUs 0 and 1
|
||||
# t=ultralytics/ultralytics:latest-runner && sudo docker run -d -e GITHUB_RUNNER_TOKEN=TOKEN -e GITHUB_RUNNER_NAME=NAME --ipc=host --gpus '"device=0,1"' $t
|
||||
Reference in New Issue
Block a user