ultranity

def pad(x:torch.Tensor, shape:torch.Size, mode='right with zero'):
    p = [0]*len(shape)*2
    for i, s in enumerate(shape):
        p[2*(len(shape)-1-i)+1] = s - x.size(i)
    return torch.nn.functional.pad(x, p)

ultranity

#!/bin/bash
#SBATCH -J MyModel
#SBATCH -n 1 # Number of cores
#SBATCH -t 1-00:00 # Runtime in D-HH:MM
#SBATCH -o JOB%j.out # File to which STDOUT will be written
#SBATCH -e JOB%j.out # File to which STDERR will be written
#SBATCH --mail-type=BEGIN
#SBATCH [email protected]

secs_to_human(){

ultranity

if not A_IsAdmin ;running by administrator
{
   Run *RunAs "%A_ScriptFullPath%" 
   ExitApp
}