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?

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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

from faas.

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

from faas.