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4d20b62 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | ### Run with Docker
1. Install Docker (with GPU Support)
Ensure that Docker is installed and configured with GPU support. Follow these steps:
* Install [Docker](https://www.docker.com/) if not already installed.
* Install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) to enable GPU support.
* Verify the setup with:
```bash
docker run --rm --gpus all nvidia/cuda:12.1.0-base-ubuntu22.04 nvidia-smi
```
2. Pull the Docker image, which was built based on this [Dockerfile](../Dockerfile)
```bash
docker pull ai4s-cn-beijing.cr.volces.com/infra/protenix:v0.0.3
```
3. Clone this repository and `cd` into it
```bash
git clone https://github.com/bytedance/protenix.git
cd ./protenix
pip install -e .
```
4. Run Docker with an interactive shell
```bash
docker run --gpus all -it -v $(pwd):/workspace -v /dev/shm:/dev/shm ai4s-cn-beijing.cr.volces.com/infra/protenix:v0.0.3 /bin/bash
```
After running above commands, you’ll be inside the container’s environment and can execute commands as you would on a normal Linux terminal. |