The official TensorFlow installation page no longer features instructions on how to install it with Anaconda (or Miniconda). But Anaconda still provides the instructions.

First, if Anaconda/Miniconda has not been installed yet, select the installer (see the list), and run it according to the Linux-specifc instructions. Then, simply follow the instructions provided by Anaconda to install TensorFlow. Note that I’m using Scientific Linux release 7.8 (Nitrogen).

The following is a quick recipe (using Python 3.6):

# Install Miniconda into ~/miniconda
wget -O ~/
bash ~/ -b -p $HOME/miniconda

miniconda/bin/conda init

# Create TensorFlow env
conda create -n tf tensorflow python=3.6

# Activate TensorFlow env
conda activate tf

# Try it
python -c "import tensorflow as tf; print(tf.__version__)"
# -> 2.2.0

If GPU support is needed, you should do this instead:

conda create -n tf-gpu tensorflow-gpu python=3.6
conda activate tf-gpu

Note that the command miniconda/bin/conda init will make modifications to your ~/.bashrc. If you prefer to modify it manually, skip the command and add these lines to your ~/.bashrc:

if [ -f "$HOME/miniconda/etc/profile.d/" ]; then
    . "$HOME/miniconda/etc/profile.d/"
    export PATH="$HOME/miniconda/bin:$PATH"

To deactivate conda:

conda deactivate

To uninstall the TensorFlow environment (see Managing environments):

conda remove --name tf --all

To update conda:

conda update -n base conda

The conda equivalent of pip freeze > requirements.txt:

conda env export > environment.yml

And the conda equivalent of pip install -r requirements.txt:

conda env create -f environment.yml