{ "cells": [ { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Tensor(\"Mul_11:0\", shape=(4,), dtype=int32)\n", "[ 5 12 21 32]\n", "[ 5 12 21 32]\n", "30\n", "30\n", "30\n", "30\n" ] } ], "source": [ "# Import `tensorflow`\n", "import tensorflow as tf\n", "import os\n", "\n", "# Initialize two constants\n", "x1 = tf.constant([1,2,3,4])\n", "x2 = tf.constant([5,6,7,8])\n", "\n", "# Multiply\n", "result = tf.multiply(x1, x2)\n", "\n", "# Print the result\n", "print(result)\n", "\n", "# Intialize the Session\n", "sess = tf.Session()\n", "\n", "# Print the result\n", "print(sess.run(result))\n", "\n", "# Close the session\n", "sess.close()\n", "\n", "#Or you can run the session like so:\n", "with tf.Session() as sess:\n", " output = sess.run(result)\n", " print(output)\n", "\n", " \n", "y1=tf.constant(5)\n", "y2=tf.constant(6)\n", "result=tf.multiply(y1, y2)\n", "sess=tf.Session()\n", "print(sess.run(result))\n", "sess.close()\n", "\n", "#or\n", "\n", "with tf.Session() as sess:\n", " print (sess.run(result))\n", " \n", "#this closes the session automatically\n", "\n", "#try this:\n", "with tf.Session() as sess:\n", " output=sess.run(result)\n", " print (output)\n", " \n", "print (output)\n", "#you can't run sess.run(result) outside of the with action" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "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": "3.6.3" } }, "nbformat": 4, "nbformat_minor": 2 }