setup_training.ipynb

{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "ml",
   "display_name": "ML",
   "language": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "source": [
    "Setup GPU/CPU usage."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')\n",
    "# and move our model over to the selected device\n",
    "model.to(device)"
   ]
  },
  {
   "source": [
    "Activate the training mode of our model, and initialize our optimizer (Adam with weighted decay - reduces chance of overfitting)."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AdamW\n",
    "\n",
    "# activate training mode\n",
    "model.train()\n",
    "# initialize optimizer\n",
    "optim = AdamW(model.parameters(), lr=1e-4)"
   ]
  }
 ]
}

How to activate multiple GPU ?