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pybind11

CONTAINERS IMAGES RUN BUILD

CONTAINERS
pybind11
   Aliases pybind11:global
   Requires L4T ['>=32.6']
   Dependencies build-essential pip_cache python
   Dependants isaac-ros:common-3.2-humble-desktop isaac-ros:common-3.2-jazzy-desktop isaac-ros:compression-3.2-humble-desktop isaac-ros:compression-3.2-jazzy-desktop isaac-ros:data-tools-3.2-humble-desktop isaac-ros:data-tools-3.2-jazzy-desktop isaac-ros:dnn-inference-3.2-humble-desktop isaac-ros:dnn-inference-3.2-jazzy-desktop isaac-ros:image-pipeline-3.2-humble-desktop isaac-ros:image-pipeline-3.2-jazzy-desktop isaac-ros:manipulator-3.2-humble-desktop isaac-ros:manipulator-3.2-jazzy-desktop isaac-ros:nitros-3.2-humble-desktop isaac-ros:nitros-3.2-jazzy-desktop isaac-ros:nvblox-3.2-humble-desktop isaac-ros:nvblox-3.2-jazzy-desktop isaac-ros:pose-estimation-3.2-humble-desktop isaac-ros:pose-estimation-3.2-jazzy-desktop isaac-ros:visual-slam-3.2-humble-desktop isaac-ros:visual-slam-3.2-jazzy-desktop jetson-inference:foxy jetson-inference:galactic jetson-inference:humble jetson-inference:iron jetson-inference:jazzy l4t-ml l4t-tensorflow:tf1 l4t-tensorflow:tf2 nano_llm:24.4-foxy nano_llm:24.4-galactic nano_llm:24.4-humble nano_llm:24.4-iron nano_llm:24.4.1-foxy nano_llm:24.4.1-galactic nano_llm:24.4.1-humble nano_llm:24.4.1-iron nano_llm:24.5-foxy nano_llm:24.5-galactic nano_llm:24.5-humble nano_llm:24.5-iron nano_llm:24.5.1-foxy nano_llm:24.5.1-galactic nano_llm:24.5.1-humble nano_llm:24.5.1-iron nano_llm:24.6-foxy nano_llm:24.6-galactic nano_llm:24.6-humble nano_llm:24.6-iron nano_llm:24.7-foxy nano_llm:24.7-galactic nano_llm:24.7-humble nano_llm:24.7-iron nano_llm:main-foxy nano_llm:main-galactic nano_llm:main-humble nano_llm:main-iron ros:foxy-desktop ros:foxy-ros-base ros:foxy-ros-core ros:galactic-desktop ros:galactic-ros-base ros:galactic-ros-core ros:humble-desktop ros:humble-ros-base ros:humble-ros-core ros:iron-desktop ros:iron-ros-base ros:iron-ros-core ros:jazzy-desktop ros:jazzy-ros-base ros:jazzy-ros-core ros:noetic-desktop ros:noetic-ros-base ros:noetic-ros-core tensorflow2:2.16.1 tensorflow2:2.18.0 tensorflow2:2.19.0 tensorflow2:2.20.0 tensorflow2:2.21.0 tensorflow_graphics:2.18.0 tensorflow_graphics:2.19.0 tensorflow_graphics:2.20.0 tensorflow_text:2.18.0 tensorflow_text:2.19.0 tensorflow_text:2.20.0 zed:5.0-humble zed:5.0-jazzy
   Dockerfile Dockerfile
   Notes https://github.com/pybind/pybind11
RUN CONTAINER

To start the container, you can use jetson-containers run and autotag, or manually put together a docker run command:

# automatically pull or build a compatible container image
jetson-containers run $(autotag pybind11)

# or if using 'docker run' (specify image and mounts/ect)
sudo docker run --runtime nvidia -it --rm --network=host pybind11:36.4.0

jetson-containers run forwards arguments to docker run with some defaults added (like --runtime nvidia, mounts a /data cache, and detects devices)
autotag finds a container image that's compatible with your version of JetPack/L4T - either locally, pulled from a registry, or by building it.

To mount your own directories into the container, use the -v or --volume flags:

jetson-containers run -v /path/on/host:/path/in/container $(autotag pybind11)

To launch the container running a command, as opposed to an interactive shell:

jetson-containers run $(autotag pybind11) my_app --abc xyz

You can pass any options to it that you would to docker run, and it'll print out the full command that it constructs before executing it.

BUILD CONTAINER

If you use autotag as shown above, it'll ask to build the container for you if needed. To manually build it, first do the system setup, then run:

jetson-containers build pybind11

The dependencies from above will be built into the container, and it'll be tested during. Run it with --help for build options.