raeidsaqur

Simple steps:

1. 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>

2. sudo mv /{path_to}/{Extracted folder} /opt/blender

3. Create a symbolic link for use from the command line:

raeidsaqur

Add the following helper commands to your ~/.bash_profile to easily check cluster status

sq returns the status of jobs with respect to the $(PARTITION) machines.*

alias sq='squeue -o "%.18i %.9P %.8j %.8u %.6c %.8b %.8m %.8T %.10M %.9l %.6D %R" -A $(PARTITION_NAME)'

alias sinfo='sinfo -p all,$(PARTITION1), $(PARTITION2) -el -o "%15N %.6D %.9P %.7T %.4c %.13G %.8z %.6m %.6w %20E"'

alias sqk='squeue -u $(USERNAME)'

raeidsaqur

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

raeidsaqur

#!/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

raeidsaqur

#!/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:
#