00_imports_test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5aa91068",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PyTorch version: 1.12.0\n",
      "Is MPS (Metal Performance Shader) built? True\n",
      "Is MPS available? True\n",
      "Using device: mps\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import sklearn\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "print(f\"PyTorch version: {torch.__version__}\")\n",
    "\n",
    "# Check PyTorch has access to MPS (Metal Performance Shader, Apple's GPU architecture)\n",
    "print(f\"Is MPS (Metal Performance Shader) built? {torch.backends.mps.is_built()}\")\n",
    "print(f\"Is MPS available? {torch.backends.mps.is_available()}\")\n",
    "\n",
    "# Set the device      \n",
    "device = \"mps\" if torch.backends.mps.is_available() else \"cpu\"\n",
    "print(f\"Using device: {device}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}