check_GPU_operation.ipynb

{
 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world!\n"
     ]
    }
   ],
   "source": [
    "print('Hello world!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 텐서플로 GPU 작동을 확인합니다."
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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    {
     "name": "stdout",
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     "text": [
      "[[22. 28.]\n",
      " [49. 64.]]\n",
      "[[22. 28.]\n",
      " [49. 64.]]\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "with tf.device('/gpu:0'):\n",
    "    a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')\n",
    "    b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')\n",
    "    c = tf.matmul(a, b)\n",
    "with tf.Session() as sess:\n",
    "    print (sess.run(c))\n",
    "\n",
    "# Creates a graph.\n",
    "a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')\n",
    "b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')\n",
    "c = tf.matmul(a, b)\n",
    "# Creates a session with log_device_placement set to True.\n",
    "sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))\n",
    "# Runs the op.\n",
    "print(sess.run(c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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