# dockerLans

**Repository Path**: epool/docker-lans

## Basic Information

- **Project Name**: dockerLans
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-10-26
- **Last Updated**: 2024-01-30

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


here we firstly build the docker environment for bayesflow


# Docker Multi-platform Build Method

## 0. Installation of buildx
Make sure Docker version is 19.03 or higher.
Run `docker buildx install`.
Create a virtual environment for building using buildx: `docker buildx create --use --name mybuilder`.
You can check the created environments using `docker buildx ls`.

## 1. Build the two images separately
```
docker build -t wanke/bayesflow .
```

Run tests:
- note: change the path `$(pwd)` to your custom path
```
docker run -it --rm --gpus all -p 8888:8888 -v $(pwd):/tf/work wanke/bayesflow
```

```
docker run -it --gpus all -p 8888:8888 --network=host -v D:\05code\01academicProject\52bayesflow_projects\dockerBayesflow:/tf/work wanke/bayesflow
```

# 2. Push Images and Modify Manifest

- `docker login`
- `docker push wanke/bayesflow`


docker run -it --gpus all pytorch/pytorch:2.1.0-cuda12.1-cudnn8-devel
docker container start 7b1e
docker exec -it 7b1e /bin/bash

apt update
apt install git
pip install --upgrade pip
pip install pip install --no-cache-dir numba -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install --no-cache-dir git+https://gitee.com/epool/ssm-simulators.git -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install git+https://github.com/AlexanderFengler/LANfactory

pip install jupyter, jupyterlab, notebook, ipywidgets
jupyter notebook --generate-config

docker exec -it 7b1e jupyter lab --allow-root

docker commit 7b1e wanke/lans:latest

docker run -it --rm --gpus all -p 8888:8888 -v $(pwd):/work wanke/lans jupyter lab --allow-root --ip=0.0.0.0 --port=8888
docker run -it --gpus all -p 8888:8888 -v D:\05code\01academicProject\52bayesflow_projects\dockerLans:/work wanke/lans jupyter lab --allow-root --ip=0.0.0.0 --port=8888 --notebook-dir=/work

frozendict
%pip install -U "jax[cuda12_pip]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html
%pip install "jax[cuda12_pip]==0.4.9" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html

wget https://developer.download.nvidia.com/compute/cuda/12.3.0/local_installers/cuda_12.3.0_545.23.06_linux.run
sudo sh cuda_12.3.0_545.23.06_linux.run


docker run -it --gpus all -p 8888:8888 -v D:\05code\01academicProject\52bayesflow_projects\dockerLans:/work wanke/ssmlans jupyter lab --allow-root --ip=0.0.0.0 --port=8888 --notebook-dir=/work