{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "6b269e64-be58-43b5-ad60-0fbd1d37861a", "metadata": { "tags": [] }, "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": { "tags": [] }, "outputs": [], "source": [ "import plotly" ] }, { "cell_type": "code", "execution_count": 3, "id": "7313a620-a0eb-4207-a12a-90aeee3cd980", "metadata": { "tags": [] }, "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": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "environ{'PATH': '/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin',\n", " 'HOSTNAME': '6da2c53b1b4e',\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/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": 5, "id": "eb38de31-fc19-4515-b08d-9cd7607ea958", "metadata": { "tags": [] }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "97026f0bacf64f09977d0dd5cff9ed20", "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": 6, "id": "f46e46a7-9b57-44aa-9bc9-dcbcf643bc88", "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "jupyter-events==0.10.0\n", "jupyter-ydoc==0.2.5\n", "jupyter_client==7.4.9\n", "jupyter_core==5.7.2\n", "jupyter_server==2.14.1\n", "jupyter_server_fileid==0.9.2\n", "jupyter_server_terminals==0.5.3\n", "jupyter_server_ydoc==0.8.0\n", "jupyterlab==3.6.7\n", "jupyterlab-widgets==1.1.7\n", "jupyterlab_pygments==0.3.0\n", "jupyterlab_server==2.27.2\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 }