{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "000d047d-3dfd-48cb-a3c3-bd1ad7c78b71",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TensorFlow version: 2.16.1\n",
      "GPUs detected: 1\n",
      " - PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import tensorflow as tf\n",
    "\n",
    "os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'\n",
    "\n",
    "def get_available_gpus():\n",
    "    gpus = tf.config.list_physical_devices('GPU')\n",
    "    if gpus:\n",
    "        print(f\"GPUs detected: {len(gpus)}\")\n",
    "        for gpu in gpus:\n",
    "            print(f\" - {gpu}\")\n",
    "    else:\n",
    "        print(\"No GPUs detected.\")\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    print(\"TensorFlow version:\", tf.__version__)\n",
    "    get_available_gpus()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "324dc7a1-61b8-4384-bfed-4385e7dbe49d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')\n"
     ]
    }
   ],
   "source": [
    "gpus = tf.config.list_physical_devices('GPU')\n",
    "for gpu in gpus:\n",
    "    print(gpu)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "080fdf50-a5d5-4650-8f29-34c773443d59",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.11.0rc1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}