Setting Up TensorFlow in RStudio on macOS: A Step-by-Step Guide

February 6, 2025  /  Leave a response

1) Install Anaconda

Download Anaconda: Visit the Anaconda Distribution page and download the installer suitable for macOS. Install Anaconda: Run the downloaded installer and follow the on-screen instructions to complete the installation.

2) Open Terminal

3) Create a Conda Environment

conda create --name rstudio-tf

4) Activate the Environment

conda activate rstudio-tf

5) Install Python

conda install python=3.11 # use supported version for tensorflow

6) Install tensorflow

conda install -c anaconda tensorflow

7) Configure R to Use the Conda Environment

Inform R about the specific Python environment to ensure seamless integration. Edit the .Renviron File: This file is typically located in your home directory. If it doesn’t exist, you can create it.

echo "RETICULATE_PYTHON=~/miniforge3/envs/rstudio-tf/bin/python" >> ~/.Renviron

8) Verify TensorFlow Installation

conda list | grep tensorflow

9) Go to RStudio and Restart the R Session

To ensure RStudio recognizes the new environment, Navigate to Session -> Restart R within RStudio.

10) Initialize and Test TensorFlow in R

Run the following R script to verify the setup::

reticulate::use_python("/opt/anaconda3/envs/rstudio-tf/bin/python")
reticulate::use_condaenv("rstudio-tf", conda="/opt/anaconda3/bin/conda", required = TRUE)

library(tensorflow)
tf_config()
tf_version()
tf$config$list_logical_devices()

Following these steps, you should have a functional TensorFlow setup within RStudio on your macOS system. Ensure all paths are correctly specified, and you use compatible versions of Python, TensorFlow, and R packages.