jupyter_gpu/notebooks/oleg/Testing GPU.ipynb
2024-06-02 00:18:10 -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. 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(f\"CUDA is available. 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": 2,
"id": "7313a620-a0eb-4207-a12a-90aeee3cd980",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0]'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import sys\n",
"sys.version"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "95d9a2e6-3464-4dbe-9a97-0c2d5eb34193",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"environ{'PATH': '/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin',\n",
" 'HOSTNAME': '545710502a0b',\n",
" 'JUPYTER_ENABLE_LAB': 'yes',\n",
" 'NVIDIA_VISIBLE_DEVICES': 'all',\n",
" 'NVIDIA_DRIVER_CAPABILITIES': 'compute,utility',\n",
" 'LD_LIBRARY_PATH': '/usr/local/nvidia/lib:/usr/local/nvidia/lib64',\n",
" 'PYTORCH_VERSION': '2.2.1',\n",
" 'HOME': '/root',\n",
" 'LC_CTYPE': 'C.UTF-8',\n",
" 'JPY_SESSION_NAME': '/workspace/oleg/Testing GPU.ipynb',\n",
" 'JPY_PARENT_PID': '1',\n",
" 'PYDEVD_USE_FRAME_EVAL': 'NO',\n",
" 'TERM': 'xterm-color',\n",
" 'CLICOLOR': '1',\n",
" 'FORCE_COLOR': '1',\n",
" 'CLICOLOR_FORCE': '1',\n",
" 'PAGER': 'cat',\n",
" 'GIT_PAGER': 'cat',\n",
" 'MPLBACKEND': 'module://matplotlib_inline.backend_inline',\n",
" 'CUDA_MODULE_LOADING': 'LAZY'}"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"import pandas as pd\n",
"import matplotlib\n",
"os.environ"
]
}
],
"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
}