11/22/2023 0 Comments Google book downloader 2.5![]() ![]() ![]() For ray-ml image, aliases to -gpu tagged image.Įxample: for the nightly image based on Python 3.8 and without GPU support, the tag is nightly-p圓8-cpu. ![]() They require the Nvidia Docker Runtime.Īliases to a specific -cuXX tagged image.Īliases to -cpu tagged images. These are based off of an NVIDIA CUDA image with the specified CUDA version. The optional Platform tag specifies the platform where the image is intended for: If unspecified, the tag points to an image using Python 3.7. All Python versions supported by Ray are available, e.g. The optional Python version tag specifies the Python version in the image. The most recent Ray development build (a recent commit from Github master)Ī specific development build (uses a SHA from the Github master, e.g. Ray version tag can be one of the following: The rayproject/base-deps and rayproject/ray-deps images are for the Linux and Python dependencies respectively. The rayproject/ray-ml images include the above as well as many additional ML libraries. It comes with anaconda and various versions of Python. The rayproject/ray images include Ray and all required dependencies. Most users should pull a Docker image from the Ray Docker Hub. However, should you need to build from source, follow these instructions for building Ray. Installing from pip should be sufficient for most Ray users. Pip install ray in the newly created environment. Using a conda environment, it is recommended to install Ray from PyPi using Ray conda packages are maintained by the community, not the Ray team. You can manually install the package by following the instructions on theĪrch Wiki or use an AUR helper like yay (recommended for ease of install) Ray is available on Arch Linux via the Arch User Repository ( AUR) as Note: Installing Ray on Arch Linux is not tested by the Project Ray developers. ![]() Please submit any issues you encounter on Windows support is currently in beta, and multi-node Ray clusters are untested. To get started with local Ray development:Įnsure you’re using the miniforge environment (you should see (base) in your terminal). Ray supports machines running Apple Silicon (such as M1 macs). If you build Ray from source, remove the build option build -cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" from the file cpp/example/.bazelrc before running your application. ![]()
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