MaksymDel

import IPython; IPython.embed(); exit(1);

MaksymDel

# SETUP 
module load python/3.6.3/CUDA
conda create -n da python=3.8
conda activate da
conda install pytorch torchvision torchaudio cudatoolkit=10.1 -c pytorch

# fairseq commit: 1a709b2a401ac8bd6d805c8a6a5f4d7f03b923ff
# git reset --hard 1a709b2a401ac8bd6d805c8a6a5f4d7f03b923ff

git clone https://github.com/pytorch/fairseq

MaksymDel

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",

MaksymDel

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]

MaksymDel

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Homework 5 - Deep learning and ensemble methods"
   ]
  },
  {