How do I use a tensorflow base image in the Dockerfile template? Is it possible?

[prateeumich]

My actions before raising this issue

• [ ] Followed the troubleshooting guide
• [ ] Read/searched the docs
• [ ] Searched past issues

Why do you need this?

Who is this for?

What company is this for? Are you listed in the ADOPTERS.md file?

Expected Behaviour

Current Behaviour

I am trying to install tensorflow inside the docker container, is it possible to use a tensorflow base image or no? I can see we are only using alpine linux as the base image

Are you a GitHub Sponsor (Yes/No?)

NO Check at: https://github.com/sponsors/openfaas

• [ ] Yes
• [ ] No

List All Possible Solutions and Workarounds

Which Solution Do You Recommend?

Steps to Reproduce (for bugs)

1. 2. 3. 4.

Context

## Your Environment

• FaaS-CLI version ( Full output from: faas-cli version ): version: 0.16.23

• Docker version docker version (e.g. Docker 17.0.05 ): Docker version 26.0.0

• Are you using OpenFaaS on Kubernetes or faasd? Yes using it on Minikube

• Operating System and version (e.g. Linux, Windows, MacOS): Linux Ubuntu 22.0.4

• Code example or link to GitHub repo or gist to reproduce problem:

• Other diagnostic information / logs from troubleshooting guide

[alexellis]

Hi @prateeumich of course, you can do whatever you want in a Dockerfile.

Can you share what do you have so far?

What programming language are you trying to use? Python?

[prateeumich]

this is my dockerfile

**FROM ghcr.io/openfaas/classic-watchdog:0.2.3 as watchdog

FROM tensorflow/tensorflow:latest-gpu

RUN mkdir -p /home/app

COPY --from=watchdog /fwatchdog /usr/bin/fwatchdog RUN chmod +x /usr/bin/fwatchdog

Add non root user

RUN addgroup -S app && adduser app -S -G app

Add non root user

RUN groupadd -r app && useradd -r -g app app

RUN chown app /home/app COPY program.py .

WORKDIR /home/app

USER app

Populate example here - i.e. "cat", "sha512sum" or "node index.js"

ENV fprocess="cat"

Set to true to see request in function logs

ENV write_debug="false"

EXPOSE 8080

HEALTHCHECK --interval=3s CMD [ -e /tmp/.lock ] || exit 1

CMD ["fwatchdog"]**

I have written a matmul program using tensorflow and python

import tensorflow as tf

# Check if GPU is available
if tf.test.is_gpu_available():
    print("GPU is available")
else:
    print("GPU is NOT available")

# Define a simple TensorFlow computation graph
a = tf.constant(3.0)
b = tf.constant(4.0)
c = tf.add(a, b)

# Create a TensorFlow session
with tf.Session() as sess:
    # Execute the computation graph
    result = sess.run(c)
    print("Result:", result)

I was able to up the function but when I was invoking the function there was no output in the command line

[prateeumich]

Also, when is the copy step correct or is it why it isn't running the program?