onnx

onnx

CONTAINERS IMAGES RUN BUILD

CONTAINERS

onnx
Builds
Requires	L4T ['>=32.6']
Dependencies	build-essential python cmake numpy
Dependants	audiocraft auto_awq:0.2.4 auto_gptq:0.7.1 awq:0.1.0 bitsandbytes bitsandbytes:builder efficientvit exllama:0.0.14 exllama:0.0.15 faiss_lite flash-attention:2.5.6 flash-attention:2.5.6-builder flash-attention:2.5.7 flash-attention:2.5.7-builder gptq-for-llama jetson-inference l4t-diffusion l4t-ml l4t-pytorch langchain langchain:samples llama-index llava minigpt4 mlc:0.1.0 mlc:0.1.0-builder mlc:0.1.1 mlc:0.1.1-builder nanodb nanoowl nanosam nemo onnxruntime:1.11 onnxruntime:1.11-builder onnxruntime:1.16.3 onnxruntime:1.16.3-builder onnxruntime:1.17 onnxruntime:1.17-builder onnxruntime:1.19 onnxruntime:1.19-builder openai-triton openai-triton:builder optimum piper-tts pytorch:1.10 pytorch:1.9 pytorch:2.0 pytorch:2.0-builder pytorch:2.1 pytorch:2.1-builder pytorch:2.2 pytorch:2.2-builder pytorch:2.3 pytorch:2.3-builder raft sam stable-diffusion stable-diffusion-webui tam tensorrt_llm:0.10.dev0 tensorrt_llm:0.10.dev0-builder tensorrt_llm:0.5 tensorrt_llm:0.5-builder text-generation-inference text-generation-webui:1.7 text-generation-webui:6a7cd01 text-generation-webui:main torch2trt torch_tensorrt torchaudio:0.10.0 torchaudio:0.10.0-builder torchaudio:0.9.0 torchaudio:0.9.0-builder torchaudio:2.0.1 torchaudio:2.0.1-builder torchaudio:2.1.0 torchaudio:2.1.0-builder torchaudio:2.2.2 torchaudio:2.2.2-builder torchaudio:2.3.0 torchaudio:2.3.0-builder torchvision:0.10.0 torchvision:0.11.1 torchvision:0.15.1 torchvision:0.16.2 torchvision:0.17.2 torchvision:0.18.0 transformers transformers:git transformers:nvgpt tvm voicecraft whisper whisperx wyoming-piper:master xformers:0.0.26 xformers:0.0.26-builder xtts
Dockerfile	Dockerfile
Images	dustynv/onnx:r32.7.1 (2023-12-11, 0.4GB) dustynv/onnx:r35.2.1 (2023-12-12, 5.0GB) dustynv/onnx:r35.3.1 (2023-12-11, 5.0GB) dustynv/onnx:r35.4.1 (2023-10-07, 5.0GB)
Notes	the protobuf_apt is added as a dependency on JetPack 4 (newer versions of onnx build it in-tree)

CONTAINER IMAGES

Repository/Tag	Date	Arch	Size
dustynv/onnx:r32.7.1	2023-12-11	arm64	0.4GB
dustynv/onnx:r35.2.1	2023-12-12	arm64	5.0GB
dustynv/onnx:r35.3.1	2023-12-11	arm64	5.0GB
dustynv/onnx:r35.4.1	2023-10-07	arm64	5.0GB

_{Container images are compatible with other minor versions of JetPack/L4T:
    • L4T R32.7 containers can run on other versions of L4T R32.7 (JetPack 4.6+)
    • L4T R35.x containers can run on other versions of L4T R35.x (JetPack 5.1+)}

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 onnx)

# or explicitly specify one of the container images above
jetson-containers run dustynv/onnx:r35.2.1

# or if using 'docker run' (specify image and mounts/ect)
sudo docker run --runtime nvidia -it --rm --network=host dustynv/onnx:r35.2.1

^{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 onnx)

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

jetson-containers run $(autotag onnx) 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 onnx

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