Changes between Initial Version and Version 1 of kubeflow

Timestamp:

08/03/23 13:02:44 (19 months ago)

Author:

Cheng Gong

Comment:

--

kubeflow

@@ +1 @@
+
+== Rancher Desktop
+Download Rancher Desktop from https://rancherdesktop.io and open it on your local desktop. 
+
+== Dockerhub Account
+Create a Dockerhub account on https://hub.docker.com. You will also want to create a repository to push the custom images you build. Call it 'deepxde'
+
+Remember to log in to your dockerhub account from your desktop. Enter `docker login` in your command line, and enter your password. You will only have to do this once. 
+
+== Building Custom Image
+Specifically for the DeepXDE package, you will need to create a folder on your local desktop, `deepxde`. Within this folder, create a dockerfile with `vim Dockerfile` and enter the following: 
+{{{
+FROM public.ecr.aws/j1r0q0g6/notebooks/notebook-servers/jupyter-tensorflow-cuda-full:v1.3.0-rc.1
+
+USER root
+
+RUN rm /etc/apt/sources.list.d/cuda.list
+RUN rm /etc/apt/sources.list.d/nvidia-ml.list
+
+RUN apt-get update && apt-get install -y --no-install-recommends imagemagick libopenmpi-dev \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
+
+USER $NB_UID
+
+# install - requirements.txt
+COPY --chown=jovyan:users requirements.txt /tmp/requirements.txt
+RUN python3 -m pip install -r /tmp/requirements.txt --quiet --no-cache-dir  -f \
+ https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html \
+ && rm -f /tmp/requirements.txt
+}}}
+
+Within the same `deepxde` folder on your local desktop, create a new file called `requirements.txt` by entering the following in command line: `vim requirements.txt`. Here are some packages you may want to include: 
+{{{
+ipython
+numpy
+scipy
+tensorflow
+scikit-learn
+matplotlib
+scikit-optimize
+seaborn
+tensorflow-probability
+torch
+torchvision
+torchaudio
+jax
+flax
+optax
+paddlepaddle-gpu==2.4.2.post112
+jupyter
+jupyterlab
+notebook
+pandas
+mpi4py
+deepxde
+}}}
+You can add or remove the packages you need as required. 
+
+Now, to build the custom image (for Mac), enter the following in your command line: `docker buildx build --platform linux/amd64 -t <username>/deepxde:<tagname> .`
+You will need to use your dockerhub username and you can choose any tagname you want. For instance, your tagname could be `v1` for version 1 of the image you are building. 
+
+== Pushing to Dockerhub
+After building the image, push to Dockerhub: `docker push <username>/deepxde:<tagname>`
+
+== Kubeflow
+Go to the Notebooks tab and create a new server. Select `custom image` and enter `<username>/deepxde:<tagname>`. Choose the number of CPUs and GPUs (NVIDIA), also use your existing volume. Once this is done, you will want to launch the server!
+