| #!/bin/bash | |
| #SBATCH -p p100 | |
| #SBATCH --gres=gpu:1 | |
| #SBATCH -c 4 | |
| #SBATCH --mem=16G | |
| #SBATCH --nodes=1 | |
| #SBATCH --ntasks=1 | |
| ##SBATCH --ntasks-per-node=1 | |
| #SBATCH --time=04:00:00 | |
| #SBATCH --job-name=jupyter-notebook |
Simple steps:
Download .tar.bz from official site and extract it. Version 2.79
wget https://download.blender.org/release/Blender2.79/blender-2.79b-linux-glibc219-x86_64.tar.bz2
Extract:
tar -xvf <blender_version>
sudo mv /{path_to}/{Extracted folder} /opt/blender
Create a symbolic link for use from the command line:
| name: null # env was made with --prefix | |
| channels: | |
| - conda-forge # added a third party channel | |
| - defaults | |
| dependencies: | |
| - numpy=1.16.3=py37h926163e_0 | |
| - opencv=3.4.2=py37h6fd60c2_1 | |
| - pandas=0.24.2=py37h0a44026_0 | |
| - pip=19.1.1=py37_0 | |
| - pip: # Packages installed from PyPI |
| #!/bin/bash | |
| #SBATCH --partition general | |
| #SBATCH --nodes 1 | |
| #SBATCH --ntasks-per-node 1 | |
| #SBATCH --mem 16G | |
| #SBATCH --gres gpu:1 | |
| #SBATCH --time 1-0:00:00 | |
| #SBATCH --job-name jupyter-notebook | |
| #SBATCH --output jupyter-notebook-%J.log |
| #!/bin/bash | |
| # conda-auto-env automatically activates a conda environment when | |
| # entering a folder with an environment.yml file. | |
| # | |
| # If the environment doesn't exist, conda-auto-env creates it and | |
| # activates it for you. | |
| # | |
| # To install add this line to your .bashrc or .bash-profile: | |
| # |
