Quick Fix: Export the CUDA_HOME environment variable on the same line as the python install command within the Docker container. This ensures that the environment variable is set correctly when installing the Python package that requires CUDA.
The Problem:
You are getting the error ‘CUDA_HOME environment variable is not set’ when trying to install a package in a Docker container. You’re using the ‘pytorch/pytorch:1.8.1- cuda11.1- cudnn8-runtime’ image, which should include the necessary CUDA and Pytorch components. Can you explain why you’re encountering this issue and how to resolve it?
The Solutions:
Solution 1: Export CUDA_HOME
Add the export statement on the same line before running python setup.py install.
For example:
RUN export CUDA_HOME=/usr/local/cuda && python setup.py install
Q&A
Does "FROM pytorch/pytorch:1.8.1-cuda11.1-cudnn8-runtime" contain CUDA and pytorch necessary?
—
Yes
How can I set CUDA_HOME?
—
Export th CUDA_HOME at the same line with python install
Video Explanation:
The following video, titled "Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 ...", provides additional insights and in-depth exploration related to the topics discussed in this post.
