jupyter_gpu/notebooks/oleg/Testing GPU.ipynb
Cryptoval2 524c12e7aa .
2024-06-01 16:53:03 -04:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"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": []
}
],
"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": "3.10.13"
}
},
"nbformat": 4,
"nbformat_minor": 5
}