ezyang

import torch
from torch.utils._python_dispatch import TorchDispatchMode
from torch.utils._pytree import tree_map
import itertools

# cribbed from https://github.com/albanD/subclass_zoo/blob/main/logging_mode.py

class Lit:
    def __init__(self, s):
        self.s = s

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

amir-saniyan

Ubuntu 22.04 for Deep Learning

In the name of God

This gist contains steps to setup Ubuntu 22.04 for deep learning.

---

Install Ubuntu 22.04

qsh-zh

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub && sudo apt update
sudo dpkg -i cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

uzl

Install Latest Nvidia Driver in Ubuntu 18.04 LTS

Step: 1

Remove previous installation

sudo apt-get purge nvidia*
sudo apt-get autoremove 

---

piwwww

# tips from Ben Lindsay: http://benjlindsay.com/blog/running-jupyter-lab-remotely/
# This function does a few things when you type jllocal:

#    Runs ssh tunneling command if it's not already running
#    Grabs the Jupyter token from the remote machine
#    Opens a tab in your browser with the right url and token for you

# When you're done with Jupyter Lab, you just type jllocal kill and it will shut down the ssh connection.

function jllocal {

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

dpfrakes

### Install Box2D from source

# Mac
brew install swig

# Linux
sudo apt-get install build-essential python-dev swig

# Download source
cd ~/dev

jarvisschultz

cmake_minimum_required(VERSION 3.5.1)
project(matrix_demo)

find_package(catkin REQUIRED
  rospy
  roscpp
  std_msgs
  )

include_directories(

myusuf3

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule