shoyer

mattjj

import torch
import torch.utils.dlpack
import jax
import jax.dlpack

# A generic mechanism for turning a JAX function into a PyTorch function.

def j2t(x_jax):
  x_torch = torch.utils.dlpack.from_dlpack(jax.dlpack.to_dlpack(x_jax))
  return x_torch

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

Findus23

#!/bin/bash
#SBATCH --time=01:00:00
#SBATCH --nodes=2 #equal to -N 1
#SBATCH --tasks-per-node=2
#SBATCH --exclusive
#SBATCH --job-name=jax-fft-test
#SBATCH --gpus=4
#SBATCH --output output/slurm-%j.out

nvidia-smi

ameya98