salmedina

1. For DDP find_unused_parameters=False
2. For optimization while training Optimizer.zero_grad(set_to_none=False)
3. CUDNN flags:
   • torch.backend.cudnn.enabled=True
   • torch.backend.cudnn.deterministic=False

• torch.backend.cudnn.benchmark=True

salmedina

import argparse

def parse_args():
  parser = argparse.ArgumentParser()
  parser.add_argument('-', '--', type=,
                      help='')
  return parser.parse_args()
  
def main(args):
  pass

salmedina

1. Install RVM
2. Set the gem folder in your shell resource file. I.e. .zshrc, .bashrc etc
```
export GEM_HOME="$HOME/.gem"
```
3. Install you gem gem i `LIBRARY_NAME`

salmedina

#!/bin/bash
START_TIME=$1
VIDEO_PATH=$2
DURATION=$3
OUTPUT_DIR=$4

ffmpeg -ss ${START_TIME} -i ${VIDEO_PATH} -t ${DURATION} -q:v 2 -vf select="eq(pict_type\,PICT_TYPE_I)" -vsync 0 ${OUTPUT_DIR}/%03d.jpg

salmedina

public class Hello
{
   public static void Main()
   {
-      System.Console.WriteLine("Hello, World!");
+      System.Console.WriteLine("Rock all night long!");
   }
}