Update dockerfile and add docker build action (#3283)

* Use github docker registry

* Fix DDP train for GPU in exclusive mode

* Improve docker image - compile gsplat, decrease image size

* Drop unrelated change

* Add build docker image action

* Rename build docker image action

* nit

* Remove commented line from Dockerfile

* Fix dockerfile when explicit source is specified

* Fix failing dynamo build for torch.compile

* Lock dockerfile and tcnn versions

* Add `torch.cuda.is_available()` condition

* Drop set_cuda_device

* Fix build docker image github action

* Docker build save disk space

* Set MAX_JOBS to limit resource usage for docker build

* Try bumping `MAX_JOBS` 2 => 4

* Install fixed gsplat version from nerfstudio's pyproject.toml

* Update docs

* Finish docker build action

* Fix ignores push when PR

---------

Co-authored-by: Gina Wu <ginawu98@gmail.com>
Co-authored-by: Brent Yi <yibrenth@gmail.com>

docs/quickstart/installation.md

@@ -222,10 +222,10 @@ Instead of installing and compiling prerequisites, setting up the environment an
 ### Prerequisites
 
 Docker ([get docker](https://docs.docker.com/get-docker/)) and nvidia GPU drivers ([get nvidia drivers](https://www.nvidia.de/Download/index.aspx?lang=de)), capable of working with CUDA 11.8, must be installed.
-The docker image can then either be pulled from [here](https://hub.docker.com/r/dromni/nerfstudio/tags) (replace <version> with the actual version, e.g. 0.1.18)
+The docker image can then either be pulled from [here](https://github.com/nerfstudio-project/nerfstudio/pkgs/container/nerfstudio) (`latest` can be replaced with a fixed version, e.g., `1.1.3`)
 
 ```bash
-docker pull dromni/nerfstudio:<version>
+docker pull ghcr.io/nerfstudio-project/nerfstudio:latest
 ```
 
 or be built from the repository using
@@ -240,22 +240,11 @@ For example, here's how to build with support for GeForce 30xx series GPUs:
 
 ```bash
 docker build \
-    --build-arg CUDA_VERSION=11.8.0 \
     --build-arg CUDA_ARCHITECTURES=86 \
-    --build-arg OS_VERSION=22.04 \
     --tag nerfstudio-86 \
     --file Dockerfile .
 ```
 
-The user inside the container is called 'user' and is mapped to the local user with ID 1000 (usually the first non-root user on Linux systems).  
-If you suspect that your user might have a different id, override `USER_ID` during the build as follows:
-
-```bash
-docker build \
-    --build-arg USER_ID=$(id -u) \
-    --file Dockerfile .
-```
-
 ### Using an interactive container
 
 The docker container can be launched with an interactive terminal where nerfstudio commands can be entered as usual. Some parameters are required and some are strongly recommended for usage as following:
@@ -269,7 +258,7 @@ docker run --gpus all \                                         # Give the conta
             --rm \                                              # Remove container after it is closed (recommended).
             -it \                                               # Start container in interactive mode.
             --shm-size=12gb \                                   # Increase memory assigned to container to avoid memory limitations, default is 64 MB (recommended).
-            dromni/nerfstudio:<tag>                             # Docker image name if you pulled from docker hub.
+            ghcr.io/nerfstudio-project/nerfstudio:<tag>         # Docker image name if you pulled from GitHub.
             <--- OR --->
             nerfstudio                                          # Docker image tag if you built the image from the Dockerfile by yourself using the command from above.
 ```
@@ -280,7 +269,7 @@ Besides, the container can also directly be used by adding the nerfstudio comman
 
 ```bash
 docker run --gpus all -u $(id -u) -v /folder/of/your/data:/workspace/ -v /home/<YOUR_USER>/.cache/:/home/user/.cache/ -p 7007:7007 --rm -it --shm-size=12gb  # Parameters.
-            dromni/nerfstudio:<tag> \                           # Docker image name
+            ghcr.io/nerfstudio-project/nerfstudio:<tag> \       # Docker image name if you pulled from GitHub.
             ns-process-data video --data /workspace/video.mp4   # Smaple command of nerfstudio.
 ```