{
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   "cell_type": "code",
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   "id": "6b269e64-be58-43b5-ad60-0fbd1d37861a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CUDA is available. GPU is ready for use.\n",
      "Number of GPUs: 1\n",
      "GPU Name: NVIDIA GeForce RTX 3060\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "# Check if CUDA is available\n",
    "if torch.cuda.is_available():\n",
    "    print(\"CUDA is available. GPU is ready for use.\")\n",
    "    print(f\"Number of GPUs: {torch.cuda.device_count()}\")\n",
    "    print(f\"GPU Name: {torch.cuda.get_device_name(0)}\")\n",
    "else:\n",
    "    print(\"CUDA is not available. No GPU detected.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "97906ea2-b284-4966-9c11-b8629f053815",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53cd2a47-ef77-401a-8497-8fc920919f22",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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   "file_extension": ".py",
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   "pygments_lexer": "ipython3",
   "version": "3.10.13"
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