Setting up ROCm on MacBook Pro 16in for TensorFlow on AMD GPU
This guide outlines how to install and configure ROCm on your MacBook Pro 16in for using TensorFlow with an AMD GPU.
Prerequisites
- MacBook Pro 16in with AMD Radeon Pro graphics (e.g., Radeon Pro 5500M, Radeon Pro 5600M).
- macOS Catalina (10.15) or newer.
- An AMD Radeon Pro graphics driver version 20.Q4.2 or later.
- A supported AMD Radeon Pro GPU (refer to the ROCm documentation for a list of compatible GPUs).
Installation Steps
1. Install Homebrew
Homebrew is a package manager for macOS. Install it by opening Terminal and running:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
2. Install ROCm
ROCm is the open-source software stack for AMD GPUs. Install it using Homebrew:
brew install rocm
3. Configure ROCm Environment
Add the ROCm environment variables to your shell configuration. Open your shell configuration file (e.g., .bashrc or .zshrc) and add the following lines:
export ROCM_PATH=/opt/rocm export PATH=$ROCM_PATH/bin:$PATH export LD_LIBRARY_PATH=$ROCM_PATH/lib:$LD_LIBRARY_PATH
Save the file and source it in your current terminal session:
source ~/.bashrc
4. Install TensorFlow with ROCm Support
Install TensorFlow with ROCm support using pip:
pip install tensorflow-rocm
Verification
To verify your ROCm installation and TensorFlow with AMD GPU support, run the following Python code:
import tensorflow as tf print(tf.config.list_physical_devices('GPU'))
The output should list your AMD Radeon Pro GPU as a available TensorFlow device.
Using TensorFlow with AMD GPU
Once ROCm and TensorFlow are installed, you can use TensorFlow with AMD GPU support by setting the appropriate device.
with tf.device('/GPU:0'): # Your TensorFlow code here
Troubleshooting
- Make sure your AMD Radeon Pro graphics driver is up-to-date. If you encounter issues, update your driver to the latest version.
- Ensure that the ROCm installation directory is correctly specified in the environment variables.
- Check the ROCm documentation for compatibility information and support for your specific GPU model.
Conclusion
By following these steps, you can successfully setup ROCm on your MacBook Pro 16in and use TensorFlow with AMD GPU acceleration. This enables you to leverage the power of AMD GPUs for machine learning and deep learning tasks.