sweenzor

mrtns

# Install
# via http://askubuntu.com/questions/510056/how-to-install-google-chrome

wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add - 
sudo sh -c 'echo "deb http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list'
sudo apt-get update 
sudo apt-get install google-chrome-stable


# Update

tonyfast

gbishop

thomwolf

model.zero_grad()                                   # Reset gradients tensors
for i, (inputs, labels) in enumerate(training_set):
    predictions = model(inputs)                     # Forward pass
    loss = loss_function(predictions, labels)       # Compute loss function
    loss = loss / accumulation_steps                # Normalize our loss (if averaged)
    loss.backward()                                 # Backward pass
    if (i+1) % accumulation_steps == 0:             # Wait for several backward steps
        optimizer.step()                            # Now we can do an optimizer step
        model.zero_grad()                           # Reset gradients tensors
        if (i+1) % evaluation_steps == 0:           # Evaluate the model when we...

dustinandrews

# -*- coding: utf-8 -*-
"""
Pure Python 3.6 example of doing binary space partioning for rectangles
Note the example is meant to be illustrative rather than performant, idiomatic or compact

Copyright 2019 Dustin Andrews

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

mrm8488

Setup ngrok and run TensorBoard on Colab

!wget https://bin.equinox.io/c/4VmDzA7iaHb/ngrok-stable-linux-amd64.zip
!unzip ngrok-stable-linux-amd64.zip

LOG_DIR = './log'
get_ipython().system_raw(

martinsotir

Google AI Platform Notebook tips

AI Notebooks vs Colab

Google Colab: https://colab.research.google.com/

• Free compute! and interesting, fixed cost, 10$/month Google Colab Pro version.
• Notebooks are very easy to share, with ability to control permissions (integration in google drive/doc ecosystem).
• Instant availability. No requirement other than a regular google account.
• Idle time limit : 1h in free version.

ckandoth

Use apt to install the necessary packages:

sudo apt install -y slurm-wlm slurm-wlm-doc

Load file:///usr/share/doc/slurm-wlm/html/configurator.html in a browser (or file://wsl%24/Ubuntu/usr/share/doc/slurm-wlm/html/configurator.html on WSL2), and:

1. Set your machine's hostname in SlurmctldHost and NodeName.
2. Set CPUs as appropriate, and optionally Sockets, CoresPerSocket, and ThreadsPerCore. Use command lscpu to find what you have.
3. Set RealMemory to the number of megabytes you want to allocate to Slurm jobs,
4. Set StateSaveLocation to /var/spool/slurm-llnl.
5. Set ProctrackType to linuxproc because processes are less likely to escape Slurm control on a single machine config.

ameya98

# Add this in a Google Colab cell to install the correct version of Pytorch Geometric.
import torch

def format_pytorch_version(version):
  return version.split('+')[0]

TORCH_version = torch.__version__
TORCH = format_pytorch_version(TORCH_version)

def format_cuda_version(version):