61 lines
2.0 KiB
Markdown
61 lines
2.0 KiB
Markdown
|
|
# 🐳 Using the FastVideo Docker Image
|
|
|
|
If you prefer a containerized development environment or want to avoid managing dependencies manually, you can use our prebuilt Docker image:
|
|
|
|
**Images:** [`ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev:py3.12-latest`](https://ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev)
|
|
|
|
The published FastVideo tags are multi-platform Linux images for `amd64` and
|
|
`arm64`; Docker automatically pulls the matching architecture. The
|
|
`py3.12-latest` and global `latest` tags select CUDA 12.6.3 with the `cu126`
|
|
PyTorch backend. `py3.12-cuda12.6.3-latest` is the explicit alias for that
|
|
same image; use `py3.12-cuda13.0.0-latest` for CUDA 13 with `cu130`.
|
|
|
|
On ARM64, the CUDA 13 image targets DGX Spark (`sm_121`), while the CUDA 12.6
|
|
image targets GH200-class hardware (`sm_90a`). These published-tag defaults
|
|
are distinct from an unparameterized local `docker build`: `docker/Dockerfile`
|
|
itself still defaults to CUDA 13 and `cu130`.
|
|
|
|
DGX Spark users must therefore select `py3.12-cuda13.0.0-latest`; the default
|
|
CUDA 12.6 ARM64 image does not contain an `sm_121` FastVideo kernel.
|
|
|
|
## Starting the container
|
|
|
|
```bash
|
|
docker run --gpus all -it ghcr.io/hao-ai-lab/fastvideo/fastvideo-dev:py3.12-latest
|
|
```
|
|
|
|
This will:
|
|
|
|
- Start the container with GPU access
|
|
- Drop you into a shell with the FastVideo virtual environment activated
|
|
|
|
## Building locally
|
|
|
|
The same Dockerfile builds both architectures and defaults to CUDA 13. On a
|
|
native ARM64 host, build the CUDA 13 DGX Spark image with:
|
|
|
|
```bash
|
|
docker build --platform linux/arm64 -f docker/Dockerfile \
|
|
--build-arg TORCH_CUDA_ARCH_LIST=12.1 \
|
|
-t fastvideo-dev:spark .
|
|
```
|
|
|
|
This uses the prebuilt Linux ARM64 FlashAttention wheel. FastVideo's in-tree
|
|
CUDA kernel is still compiled for `sm_121` as part of the image build.
|
|
|
|
## Using the container
|
|
|
|
```bash
|
|
# The FastVideo virtual environment should already be active
|
|
# FastVideo package installed in editable mode
|
|
|
|
# Pull the latest changes from remote
|
|
cd /FastVideo
|
|
git pull
|
|
|
|
# Run linters and tests
|
|
pre-commit run --all-files
|
|
pytest tests/
|
|
```
|