Use anaconda to start with an empty environment.

knayem@eagles:~/anaconda3$ conda create --name python3.8.5

Collecting package metadata (current_repodata.json): done

Solving environment: done

## Package Plan ##

environment location: /home/knayem/anaconda3/envs/python3.8.5

Proceed ([y]/n)? y

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

#

# To activate this environment, use

#

# $ conda activate python3.8.5

#

# To deactivate an active environment, use

#

# $ conda deactivate

Check content of the environment. It should be empty.

knayem@eagles:~/anaconda3$ conda activate python3.8.5

(python3.8.5) knayem@eagles:~/anaconda3$ conda list

# packages in environment at /home/knayem/anaconda3/envs/python3.8.5:

#

# Name Version Build Channel

Now install desired python version for this particular environment, which in my case 3.8.5.

(python3.8.5) knayem@eagles:~/anaconda3$ conda install python==3.8.5

Collecting package metadata (current_repodata.json): done

Solving environment: done

## Package Plan ##

environment location: /home/knayem/anaconda3/envs/python3.8.5

added / updated specs:

- python==3.8.5

The following packages will be downloaded:

package | build

---------------------------|-----------------

_libgcc_mutex-0.1 | main 3 KB

ca-certificates-2020.7.22 | 0 125 KB

certifi-2020.6.20 | py38_0 156 KB

ld_impl_linux-64-2.33.1 | h53a641e_7 568 KB

openssl-1.1.1h | h7b6447c_0 2.5 MB

pip-20.2.2 | py38_0 1.7 MB

python-3.8.5 | h7579374_1 49.3 MB

setuptools-49.6.0 | py38_0 748 KB

zlib-1.2.11 | h7b6447c_3 103 KB

------------------------------------------------------------

Total: 55.2 MB

The following NEW packages will be INSTALLED:

_libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main

ca-certificates pkgs/main/linux-64::ca-certificates-2020.7.22-0

certifi pkgs/main/linux-64::certifi-2020.6.20-py38_0

ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.33.1-h53a641e_7

libedit pkgs/main/linux-64::libedit-3.1.20191231-h14c3975_1

libffi pkgs/main/linux-64::libffi-3.3-he6710b0_2

libgcc-ng pkgs/main/linux-64::libgcc-ng-9.1.0-hdf63c60_0

libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-9.1.0-hdf63c60_0

ncurses pkgs/main/linux-64::ncurses-6.2-he6710b0_1

openssl pkgs/main/linux-64::openssl-1.1.1h-h7b6447c_0

pip pkgs/main/linux-64::pip-20.2.2-py38_0

python pkgs/main/linux-64::python-3.8.5-h7579374_1

readline pkgs/main/linux-64::readline-8.0-h7b6447c_0

setuptools pkgs/main/linux-64::setuptools-49.6.0-py38_0

sqlite pkgs/main/linux-64::sqlite-3.33.0-h62c20be_0

tk pkgs/main/linux-64::tk-8.6.10-hbc83047_0

wheel pkgs/main/noarch::wheel-0.35.1-py_0

xz pkgs/main/linux-64::xz-5.2.5-h7b6447c_0

zlib pkgs/main/linux-64::zlib-1.2.11-h7b6447c_3

Proceed ([y]/n)? y

Downloading and Extracting Packages

ld_impl_linux-64-2.3 | 568 KB | ######################################################################################################################################################################## | 100%

python-3.8.5 | 49.3 MB | ######################################################################################################################################################################## | 100%

setuptools-49.6.0 | 748 KB | ######################################################################################################################################################################## | 100%

pip-20.2.2 | 1.7 MB | ######################################################################################################################################################################## | 100%

ca-certificates-2020 | 125 KB | ######################################################################################################################################################################## | 100%

zlib-1.2.11 | 103 KB | ######################################################################################################################################################################## | 100%

openssl-1.1.1h | 2.5 MB | ######################################################################################################################################################################## | 100%

_libgcc_mutex-0.1 | 3 KB | ######################################################################################################################################################################## | 100%

certifi-2020.6.20 | 156 KB | ######################################################################################################################################################################## | 100%

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

You can check installed package list again using conda list command. Since pip is already been installed by default, it is a good idea to upgrade pip and install further packages by pip.

(python3.8.5) knayem@eagles:~/anaconda3$ pip -V

pip 20.2.2 from /home/knayem/anaconda3/envs/python3.8.5/lib/python3.8/site-packages/pip (python 3.8)

(python3.8.5) knayem@eagles:~/anaconda3$ pip install --upgrade pip

Collecting pip

Downloading pip-20.2.3-py2.py3-none-any.whl (1.5 MB)

|████████████████████████████████| 1.5 MB 5.7 MB/s

Installing collected packages: pip

Attempting uninstall: pip

Found existing installation: pip 20.2.2

Uninstalling pip-20.2.2:

Successfully uninstalled pip-20.2.2

Successfully installed pip-20.2.3

Add conda environment to Jupyter:

It is good idea to add this conda environment to jupyter

(python3.8.5) knayem@eagles:~/anaconda3$ python -m ipykernel install --user --name=python3.8.5

Installed kernelspec python3.8.5 in /home/knayem/.local/share/jupyter/kernels/python3.8.5

If conda command does not work, then try

knayem@eagles:~$ source anaconda3/bin/activate

This should activate base conda environment. If this works, then we can fix the conda command by adding in to .bash_profile

### .bash_profile

export CONDA_ENV_ROOT="$HOME/anaconda3/"

export PATH="$CONDA_ENV_ROOT/bin:$PATH"

Tensorflow install:

Since our goal is to install gpu enabled tensorflow, it is a good idea to install cuda libraries before installing tensorflow.

(python3.8.5) knayem@eagles:~$ conda install https://repo.anaconda.com/pkgs/main/linux-64/cudatoolkit-10.1.243-h6bb024c_0.conda

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

(python3.8.5) knayem@eagles:~$ conda install https://repo.anaconda.com/pkgs/main/linux-64/cudnn-7.6.5-cuda10.1_0.conda

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

(python3.8.5) knayem@eagles:~$ conda install https://repo.anaconda.com/pkgs/main/linux-64/cupti-10.1.168-0.conda

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

Install gpu version of tensorflow (version 2.3.0)using pip.

(python3.8.5) knayem@eagles:~$ pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-2.3.0-cp38-cp38-manylinux2010_x86_64.whl

You check if tensorflow is installed correctly in Jupyter notebook.

import os

import tensorflow as tf

from tensorflow.compat.v1.app import flags

from tensorboard.plugins.hparams import api as hp

import numpy as np

print("Version: ", tf.__version__)

print("Eager mode: ", tf.executing_eagerly())

print("GPU is available" if tf.config.list_physical_devices("GPU") else "NOT AVAILABLE")

>>

Version: 2.3.0

Eager mode: True

GPU is available

Reference blogs,

[1] How to add your Conda environment to your jupyter notebook in just 4 steps, https://medium.com/@nrk25693/how-to-add-your-conda-environment-to-your-jupyter-notebook-in-just-4-steps-abeab8b8d084

[2] Manage Conda environments, https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html