Tutorial: Effortless Setup of TensorFlow GPU & Streamlit on Docker and Anaconda using WSL2

This tutorial is intended to guide Windows users in setting up Tensorflow GPU and Streamlit environment on DOCKER and ANACONDA with Windows Subsystem for Linux 2 (WSL2).

Tutorial: Setup a Development Environment on Windows (Docker, WSL2, Ubuntu, Vscode)

Please find below all the commands used in this tutorial:

- Download & install anaconda:

- Create the conda env using the bash script:

- Build the docker image using the Dockerfile:
docker build -t tf_gpu_docker .

- Run a Container using the image
docker run --gpus all -p 10000:8888 -p 8501:8501 -v ${PWD}:/app/mycode tf_gpu_docker

Author:
Dr. Abdelghafour HALIMI

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[hunterlevien]

You are a god among men sir! Legendary video. Been trying to figure out docker config with gpu support for a while. Navigating the official doco is fairly difficult after the post 2.10 changes.

(Also: if 10000:8888 was creating issues with compiling with juypeter connection, you can change to 8888:8888 and that works also)


Keep up the good work!