{
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   "cell_type": "code",
   "execution_count": 1,
   "id": "ca142d3d-f339-41fd-a536-b38c24285848",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PyTorch Version: 2.10.0+cu130\n",
      "CUDA Available: True\n",
      "CUDA Device Count: 8\n",
      "Current CUDA Device: 0\n",
      "CUDA Device Name: NVIDIA GeForce RTX 5090\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "\n",
    "print(\"PyTorch Version:\", torch.__version__)\n",
    "print(\"CUDA Available:\", torch.cuda.is_available())\n",
    "print(\"CUDA Device Count:\", torch.cuda.device_count())\n",
    "print(\"Current CUDA Device:\", torch.cuda.current_device())\n",
    "print(\"CUDA Device Name:\", torch.cuda.get_device_name(torch.cuda.current_device()) if torch.cuda.is_available() else \"No GPU detected\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ef34dc2-ed64-49cc-ba3c-9cf61cb4cbb0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
   "name": "python3"
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    "name": "ipython",
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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