TensorFlow is an open-source software library developed by the Google brain team. It widely used to implement deep learning models which helps in solving real world problems. In this article, we learn how to install TensorFlow on macOS using Homebrew.
Requirements:
- Python 3.6–3.8
- macOS 10.12.6 (Sierra) or later (no GPU support)
Installing TensorFlow:
Step 1: Verify the python version:
$ python3 --version
Step 2: Verify if the brew is installed:
$ brew --version
Step 3: Create the virtual environment:
$ brew install virtualenv
Step 4: After creating a new virtual environment, create a ./pythonenv directory to hold it.
$ virtualenv --system-site-packages -p python3 ./pythonenv
Step 5: Go inside ./pythonenv
$ cd ./pythonenv
Step 6: Activate the virtual environment
source bin/activate
Step 7: Install TensorFlow.
brew install tensorflow
Step 8: Create a new folder inside /pythonenv called tfdemo. Create a new file inside tfdemo called tfdemofile.py.
Step 9: Run the file:
$ python3 tfdemofile.py
Python3
# importing tensorflow import tensorflow as tf # creating nodes in computation graph node1 = tf.constant(3, dtype = tf.int32) node2 = tf.constant(5, dtype = tf.int32) node3 = tf.add(node1, node2) # create tensorflow session object sess = tf.Session() # evaluating node3 and printing the result print("Sum of node1 and node2 is:", sess.run(node3)) # closing the session sess.close() |
Output:
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