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Tensorcircuit Installation Guide on MacOS

Contributed by Mark (Zixuan) Song

.. warning:: This page is deprecated. Please visit the update tutorial <development_Mac.html>_ for the latest information.

Starting From Scratch

For completely new macos or macos without xcode and brew

Install Xcode Command Line Tools

Need graphical access to the machine.

Run xcode-select --install to install if on optimal internet.

Or Download from Apple Command Line Tools installation image then install if internet connection is weak.

Install Miniconda

Due to the limitation of MacOS and packages, the lastest version of python does not always function as desired, thus miniconda installation is advised to solve the issues.

curl -o ~/miniconda.sh https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh
bash ~/miniconda.sh -b -p $HOME/miniconda
source ~/miniconda/bin/activate
conda install -c apple tensorflow-deps

Install TC Prerequisites

pip install numpy scipy tensornetwork networkx

Install TC Backends

There are four backends to choose from, Numpy, Tensorflow, Jax, Torch.

Install Jax, Pytorch, Qiskit, Cirq (Optional)

pip install [Package Name]

Install Tensorflow (Optional)

Install Tensorflow without MacOS optimization

conda config --add channels conda-forge
conda config --set channel_priority strict
conda create -n tc_venv python tensorflow=2.7

Verify Tensorflow Installation

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)

Install Tensorflow with MacOS optimization (Recommended)

For tensorflow version 2.13 or later:

pip install tensorflow
pip install tensorflow-metal

For tensorflow version 2.12 or earlier:

pip install tensorflow-macos
pip install tensorflow-metal

Verify Tensorflow Installation

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)

Install Tensorcircuit

pip install tensorcircuit

Testing Platform (Tested Jun 2023)

  • Platform 1:
    • MacOS Ventura 13.1 (Build version 22C65)
    • M1 Ultra
  • Platform 2:
    • MacOS Ventura 13.2 (Build version 22D49)
    • M1 Ultra (Virtual)
  • Platform 4:
    • MacOS Sonoma 14.0 Beta 2 (Build version 23A5276g)
    • M2 Max