jupyter_gpu/pytorch/notebooks/Testing GPU.ipynb

{
 "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": 3,
   "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": 3,
     "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': '1fc69c311e22',\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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eb38de31-fc19-4515-b08d-9cd7607ea958",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "75642bda0eed47598e340b8c1766949a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=5, description='x', max=10), Output()), _dom_classes=('widget-interact',…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    }
   ],
   "source": [
    "import ipywidgets\n",
    "from ipywidgets import interact, IntSlider\n",
    "\n",
    "def f(x):\n",
    "    return x\n",
    "\n",
    "interact(f, x=IntSlider(min=0, max=10, step=1, value=5))\n",
    "print(\"Done\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f46e46a7-9b57-44aa-9bc9-dcbcf643bc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jupyter-events==0.10.0\n",
      "jupyter-lsp==2.2.5\n",
      "jupyter_client==8.6.2\n",
      "jupyter_core==5.7.2\n",
      "jupyter_server==2.14.1\n",
      "jupyter_server_terminals==0.5.3\n",
      "jupyterlab==4.2.1\n",
      "jupyterlab_pygments==0.3.0\n",
      "jupyterlab_server==2.27.2\n",
      "jupyterlab_widgets==3.0.11\n"
     ]
    }
   ],
   "source": [
    "!pip freeze | grep jupyter"
   ]
  }
 ],
 "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
}