Lecture-2.ipynb

{
 "cells": [
  {
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   "metadata": {},
   "source": [
    "## Lecture 2 - Graphs in TF ##\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
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     "text": [
      "/Users/cihan/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Default Graph ###\n",
    "When you create a tf object, it initializes a default graph."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "graph = tf.get_default_graph()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display Operations using Graph###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph.get_operations()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build a Simple Graph ###\n",
    "We will just write some operations..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = tf.constant(7, name=\"a\")\n",
    "b = tf.constant(4, name=\"b\")\n",
    "c = tf.add(a,b)\n",
    "d = tf.multiply(a, c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Display Operations using Graph###\n",
    "Now, we will have something in our graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<tf.Operation 'a' type=Const>, <tf.Operation 'b' type=Const>, <tf.Operation 'a_1' type=Const>, <tf.Operation 'b_1' type=Const>, <tf.Operation 'Add' type=Add>, <tf.Operation 'a_2' type=Const>, <tf.Operation 'b_2' type=Const>, <tf.Operation 'c' type=Add>, <tf.Operation 'd' type=Mul>, <tf.Operation 'a_3' type=Const>, <tf.Operation 'b_3' type=Const>, <tf.Operation 'c_1' type=Add>, <tf.Operation 'd_1' type=Mul>, <tf.Operation 'a_4' type=Const>, <tf.Operation 'b_4' type=Const>, <tf.Operation 'c_2' type=Add>, <tf.Operation 'd_2' type=Mul>, <tf.Operation 'a_5' type=Const>, <tf.Operation 'b_5' type=Const>, <tf.Operation 'c_3' type=Add>, <tf.Operation 'd_3' type=Mul>, <tf.Operation 'a_6' type=Const>, <tf.Operation 'b_6' type=Const>, <tf.Operation 'Add_1' type=Add>, <tf.Operation 'Mul' type=Mul>]\n"
     ]
    }
   ],
   "source": [
    "ops = graph.get_operations()\n",
    "print(ops)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's show more info about operations ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------ Start of Operation ------\n",
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      "op: \"Const\"\n",
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      "      int_val: 7\n",
      "    }\n",
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      "\n",
      "------ End of Operation ------\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
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      "\n",
      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "\n",
      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "name: \"c\"\n",
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      "\n",
      "------ End of Operation ------\n",
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      "op: \"Const\"\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
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      "name: \"c_1\"\n",
      "op: \"Add\"\n",
      "input: \"a_3\"\n",
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      "\n",
      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "name: \"d_1\"\n",
      "op: \"Mul\"\n",
      "input: \"a_3\"\n",
      "input: \"c_1\"\n",
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      "\n",
      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "name: \"a_4\"\n",
      "op: \"Const\"\n",
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      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "name: \"b_4\"\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"c_2\"\n",
      "op: \"Add\"\n",
      "input: \"a_4\"\n",
      "input: \"b_4\"\n",
      "attr {\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"d_2\"\n",
      "op: \"Mul\"\n",
      "input: \"a_4\"\n",
      "input: \"c_2\"\n",
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      "\n",
      "------ End of Operation ------\n",
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      "------ Start of Operation ------\n",
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      "name: \"a_5\"\n",
      "op: \"Const\"\n",
      "attr {\n",
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      "      int_val: 7\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
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      "name: \"b_5\"\n",
      "op: \"Const\"\n",
      "attr {\n",
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      "      int_val: 4\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"c_3\"\n",
      "op: \"Add\"\n",
      "input: \"a_5\"\n",
      "input: \"b_5\"\n",
      "attr {\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"d_3\"\n",
      "op: \"Mul\"\n",
      "input: \"a_5\"\n",
      "input: \"c_3\"\n",
      "attr {\n",
      "  key: \"T\"\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"a_6\"\n",
      "op: \"Const\"\n",
      "attr {\n",
      "  key: \"dtype\"\n",
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      "attr {\n",
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      "      int_val: 7\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
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      "op: \"Const\"\n",
      "attr {\n",
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      "      int_val: 4\n",
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      "}\n",
      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"Add_1\"\n",
      "op: \"Add\"\n",
      "input: \"a_6\"\n",
      "input: \"b_6\"\n",
      "attr {\n",
      "  key: \"T\"\n",
      "  value {\n",
      "    type: DT_INT32\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n",
      "------ Start of Operation ------\n",
      "\n",
      "name: \"Mul\"\n",
      "op: \"Mul\"\n",
      "input: \"a_6\"\n",
      "input: \"Add_1\"\n",
      "attr {\n",
      "  key: \"T\"\n",
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      "\n",
      "------ End of Operation ------\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for operation in ops:\n",
    "    print(\"------ Start of Operation ------\\n\")\n",
    "    print(operation)\n",
    "    print(\"------ End of Operation ------\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Run the TF Program ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "77\n"
     ]
    }
   ],
   "source": [
    "with tf.Session() as session:\n",
    "    result = session.run(d)\n",
    "    print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Have a nice day..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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