zhanwenchen

# Modify apt sources lists
cd /etc/apt/sources.list.d/
sudo rm gds-11-7.conf cuda-12-3.conf cuda-12-2.conf cuda-12-1.conf 989_cuda-11.conf cuda-ubuntu2004-11-7-local.list cuda-ubuntu2004-11-7-local.list

# Modify apt preferences
cd /etc/apt/preferences.d
sudo rm cuda-repository-pin-600 nvidia-fabricmanager

# Startup shell environment variables
sudo vim /etc/profile.d/dlami.sh # comment out both

zhanwenchen

; /usr/share/pulseaudio/alsa-mixer/profile-sets/astro-a50-gen4.conf

[General]
auto-profiles = yes

[Mapping analog-voice]
description = Voice
device-strings = hw:%f,0,0
channel-map = left,right
paths-output = steelseries-arctis-output-chat-common

zhanwenchen

#!/bin/bash

# Downloads and applies a patch from Drupal.org.
if [ -z "$1" ] 
then
  echo "You need to supply a URL to a patch file."
  exit
fi

URL=$1;

zhanwenchen

"""
Extract the contents of a `run-{id}.wandb` database file.

These database files are stored in a custom binary format. Namely, the database
is a sequence of wandb 'records' (each representing a logging event of some
type, including compute stats, program outputs, experimental metrics, wandb
telemetry, and various other things). Within these records, some data values
are encoded with json. Each record is encoded with protobuf and stored over one
or more blocks in a LevelDB log. The result is the binary .wandb database file.

zhanwenchen

import torchvision

class UnNormalize(torchvision.transforms.Normalize):
    def __init__(self,mean,std,*args,**kwargs):
        new_mean = [-m/s for m,s in zip(mean,std)]
        new_std = [1/s for s in std]
        super().__init__(new_mean, new_std, *args, **kwargs)
        
# imagenet_norm = dict(mean=[0.485, 0.456, 0.406],std=[0.229, 0.224, 0.225])
# UnNormalize(**imagenet_norm)

zhanwenchen

# /etc/security/limits.conf
*       soft    nofile  999999
*       hard    nofile  999999
root soft nofile 999999
root hard nofile 999999

===========================================================
# /etc/sysctl.conf
# sysctl for maximum tuning