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116 lines (116 loc) · 2.06 KB
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Check Installed Module"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib \n",
"import sklearn\n",
"import tensorflow as tf"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Check GPU Support"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"# GPUs Available: 1\n"
]
}
],
"source": [
"print(\"# GPUs Available: \", len(tf.config.experimental.list_physical_devices('GPU')))"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'/device:GPU:0'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tf.test.gpu_device_name()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Default GPU Device: /device:GPU:0\n"
]
}
],
"source": [
"if tf.test.gpu_device_name():\n",
" print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))\n",
"else:\n",
" print(\"Please install GPU version of TF\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.6.9"
}
},
"nbformat": 4,
"nbformat_minor": 2
}