Install Tensorflow on M1 Mac with Python 3.10

install_tensorflow_macos_m1.sh

#!/bin/sh
#
# a fixed installatioon script for https://developer.apple.com/metal/tensorflow-plugin/
#

bash ~/miniconda.sh -b -p $HOME/miniconda
source ~/miniconda/bin/activate

conda deactivate
conda create --name tf310 python=3.10
conda activate tf310

# look for the newest tensorflow-macos 2.10 at https://pypi.org/project/tensorflow-macos/#history
python -m pip install tensorflow-macos==2.10.0

# look for the newest tensorflow-metal 0.6 at https://pypi.org/project/tensorflow-metal/#history
python -m pip install tensorflow-metal==0.6.0

python3 -c "import tensorflow as tf; print(tf.reduce_sum(tf.random.normal([1000, 1000])))"

# then run test_installation.py script - copy test_installation.py below to local directory
python test_installation.py

test_installation.py

import tensorflow as tf

cifar = tf.keras.datasets.cifar100
(x_train, y_train), (x_test, y_test) = cifar.load_data()
model = tf.keras.applications.ResNet50(
    include_top=True,
    weights=None,
    input_shape=(32, 32, 3),
    classes=100,)

loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True)
model.compile(optimizer="adam", loss=loss_fn, metrics=["accuracy"])
model.fit(x_train, y_train, epochs=5, batch_size=64)