cutlass

cutlass

CONTAINERS IMAGES RUN BUILD

CONTAINERS

cutlass:4.1.0
Aliases	cutlass
Requires	L4T ['>=34.1.0']
Dependencies	build-essential pip_cache:cu126 cuda:12.6 python numpy cuda-python cudnn cmake onnx pytorch
Dependants	awq:0.1.0 block_sparse_attn:0.0.1 comfyui cosmos-predict2 cosmos-reason1 cosmos-transfer1 cosmos1-diffusion-renderer:1.0.4 dynamo:0.3.2 exllama:0.1 flash-attention:2.5.7 flash-attention:2.6.3 flash-attention:2.7.2.post1 flash-attention:2.7.4.post1 flash-attention:2.8.0.post2 flash-attention:2.8.1 flexprefill:0.1.0 framepack genai-bench:0.1.0 huggingface_kernels:0.7.0 hymba isaac-gr00t l4t-diffusion l4t-dynamo l4t-text-generation lita llama-factory llava lobechat minference:0.1.7 mlstm_kernels:2.0.1 nano_llm:24.4 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 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 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 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 nano_llm:24.6-foxy nano_llm:24.6-galactic nano_llm:24.6-humble nano_llm:24.6-iron nano_llm:24.7 nano_llm:24.7-foxy nano_llm:24.7-galactic nano_llm:24.7-humble nano_llm:24.7-iron nano_llm:main nano_llm:main-foxy nano_llm:main-galactic nano_llm:main-humble nano_llm:main-iron openvla openvla:mimicgen paraattention:0.4.0 partpacker:0.1.0 plstm:0.1.0 prismatic pytorch:2.1-all pytorch:2.2-all pytorch:2.3-all pytorch:2.3.1-all pytorch:2.4-all pytorch:2.5-all pytorch:2.6-all pytorch:2.7-all pytorch:2.8-all robopoint sage-attention:3.0.0 sdnext self-forcing sgl-kernel:0.2.3 sglang:0.4.4 sglang:0.4.6 sglang:0.4.9 sparc3d:0.1.0 sparge-attention:0.1.0 sudonim:hf text-generation-webui:1.7 text-generation-webui:6a7cd01 text-generation-webui:main transformer-engine:2.7 videollama:1.0.0 vila vllm:0.7.4 vllm:0.8.4 vllm:0.9.0 vllm:0.9.2 vllm:0.9.3 vllm:v0.8.5.post1 vscode:transformers xattention:0.0.1 xlstm:2.0.5 xtuner
Dockerfile	Dockerfile

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 cutlass)

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

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

jetson-containers run $(autotag cutlass) 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 cutlass

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