MINICONDA-USER ENVIRONMENTS

 

MINICONDA

You would most likely need to install additional packages for your own work.
Creating a virtual environment using Miniconda is supported(example for python3.9 ).

 wget https://repo.anaconda.com/miniconda/Miniconda3-py39_4.12.0-Linux-x86_64.sh
 chmod 755 Miniconda3-py39_4.12.0-Linux-x86_64.sh
 bash ./Miniconda3-py39_4.12.0-Linux-x86_64.sh

Create environment (not use a ) :

 conda create -n  anaconda python=3.9

Activate needed environment :

 conda activate

Install package (nampy for example ):

 conda install nampy

Install CUDA with pytourch (version 11.3 ):

conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch

Install CUDA version >= 11.6 :
PyTorch 1.13

conda install pytorch==1.13.0 torchvision==0.14.0 torchaudio==0.13.0 pytorch-cuda=11.6 -c pytorch -c nvidia

PyTorch 2.0

conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.7 -c pytorch -c nvidia

to found commands for additional version PyTorch/CUDA

To Install compilers like GCC or Fortran :

~$ conda create -n foo_comp -c conda-forge compilers
~$ conda activate foo_comp
(fortran) ~$ gfortran --version
GNU Fortran (conda-forge gcc 12.3.0-7) 12.3.0
Copyright (C) 2022 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
(fortran) ~$ gcc --version
gcc (conda-forge gcc 12.3.0-7) 12.3.0
Copyright (C) 2022 Free Software Foundation, Inc.
This is free software; see the source for copying conditions.  There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

All information about this package : COMPILER-TOOLS

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