tensorflow M1 error installation

[grjd]

Hi Im trying to install tensorflow (that works) in a machine with

Big Sur 11.2.2 Python 3.9.2

I run tthe curl command and get the error bellow

curl -fLO https://github.com/apple/tensorflow_macos/releases/download/v0.1alpha2/tensorflow_macos-${VERSION}.tar.gz

% Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 0 0 0 0 0 0 0 0 --:--:-- 0:00:01 --:--:-- 0 curl: (22) The requested URL returned error: 404 Not Found

[tetuomi]

URL is not exist. ${VERSION} is variable!

[gerasimos]

curl -fLO https://github.com/apple/tensorflow_macos/releases/download/v0.1alpha3/tensorflow_macos-0.1alpha3.tar.gz

[Prashant-Kesharwani]

@grjd

You can install all the following modules by creating a Virtual Environment, and then installing all these modules inside that Virtual Environment.

1. Install Matplotlib

1.1 Install Homebrew Type in your terminal (not in rosetta environment):

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" Then add homebrew's path to the variable path:

echo 'eval $(/opt/homebrew/bin/brew shellenv)' >> /Users/bcghostpc/.zprofile eval $(/opt/homebrew/bin/brew shellenv)

1.2 Install libjpeg

brew install libjpeg

1.3 Install Matplotlib

In the virtual environment, type:

pip install matplotlib

2. Install tensorflow

Type in terminal:

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/apple/tensorflow_macos/master/scripts/download_and_install.sh)" then name your virtual environment's folder

3. Install pandas

In your virtual environment, type:

pip install cython git clone https://github.com/pandas-dev/pandas.git cd pandas python3 setup.py install

4. Install jupyter notebook

In your virtual environment, type:

pip install notebook Then go to lib/python3.8/site-packages/ipykernel

Edit the eventloops.py file using nano eventloops.py

In the _use_appnope() function, edit the return line as follows:

return sys.platform == 'darwin' and V(platform.mac_ver()[0]) >= V('10.9') and platform.mac_ver()[2] != 'arm64'

Appendix

About Installing Different Modules You can install any module using pip inside Virtual Environment:

pip install <moduleName>

About Virtual Environment

You can create a virtual environment by:

python3 -m venv <name> After creating the environment, you can activate the environment by:

source <name>/bin/activate To exit the environment, type:

deactivate