TensorFlow 2 - Namescope.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with tf.name_scope(\"Scope_A\"):\n",
    "    a = tf.add(1, 2, name=\"A_add\")\n",
    "    b = tf.multiply(a, 3, name=\"A_mul\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "with tf.name_scope(\"Scope_B\"):\n",
    "    c = tf.add(4, 5, name=\"B_add\")\n",
    "    d = tf.multiply(c, 6, name=\"B_mul\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "e = tf.add(b, d, name=\"output\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sess = tf.Session()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(e)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "graph = tf.Graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Fetch argument <tf.Tensor 'Maximum:0' shape=() dtype=float32> cannot be interpreted as a Tensor. (Tensor Tensor(\"Maximum:0\", shape=(), dtype=float32) is not an element of this graph.)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fetches, contraction_fn)\u001b[0m\n\u001b[0;32m    266\u001b[0m         self._unique_fetches.append(ops.get_default_graph().as_graph_element(\n\u001b[1;32m--> 267\u001b[1;33m             fetch, allow_tensor=True, allow_operation=True))\n\u001b[0m\u001b[0;32m    268\u001b[0m       \u001b[1;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\u001b[0m in \u001b[0;36mas_graph_element\u001b[1;34m(self, obj, allow_tensor, allow_operation)\u001b[0m\n\u001b[0;32m   2472\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2473\u001b[1;33m       \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_as_graph_element_locked\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mallow_tensor\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mallow_operation\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2474\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\u001b[0m in \u001b[0;36m_as_graph_element_locked\u001b[1;34m(self, obj, allow_tensor, allow_operation)\u001b[0m\n\u001b[0;32m   2551\u001b[0m       \u001b[1;32mif\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgraph\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2552\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Tensor %s is not an element of this graph.\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2553\u001b[0m       \u001b[1;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: Tensor Tensor(\"Maximum:0\", shape=(), dtype=float32) is not an element of this graph.",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-15-ee2eb5bab628>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     23\u001b[0m     \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmaximum\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mC_out\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mD_out\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     24\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 25\u001b[1;33m \u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mout\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    765\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    766\u001b[0m       result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 767\u001b[1;33m                          run_metadata_ptr)\n\u001b[0m\u001b[0;32m    768\u001b[0m       \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    769\u001b[0m         \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m    950\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    951\u001b[0m     \u001b[1;31m# Create a fetch handler to take care of the structure of fetches.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 952\u001b[1;33m     \u001b[0mfetch_handler\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_FetchHandler\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict_string\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    953\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    954\u001b[0m     \u001b[1;31m# Run request and get response.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, graph, fetches, feeds)\u001b[0m\n\u001b[0;32m    406\u001b[0m     \"\"\"\n\u001b[0;32m    407\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mgraph\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mas_default\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 408\u001b[1;33m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fetch_mapper\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_FetchMapper\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfor_fetch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfetches\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    409\u001b[0m     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_fetches\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    410\u001b[0m     \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_targets\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mfor_fetch\u001b[1;34m(fetch)\u001b[0m\n\u001b[0;32m    236\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfetch\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtensor_type\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    237\u001b[0m           \u001b[0mfetches\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcontraction_fn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mfetch_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfetch\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 238\u001b[1;33m           \u001b[1;32mreturn\u001b[0m \u001b[0m_ElementFetchMapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfetches\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcontraction_fn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    239\u001b[0m     \u001b[1;31m# Did not find anything.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    240\u001b[0m     raise TypeError('Fetch argument %r has invalid type %r' %\n",
      "\u001b[1;32mC:\\Users\\ZekeLabs\\Anaconda3\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fetches, contraction_fn)\u001b[0m\n\u001b[0;32m    272\u001b[0m       \u001b[1;32mexcept\u001b[0m \u001b[0mValueError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    273\u001b[0m         raise ValueError('Fetch argument %r cannot be interpreted as a '\n\u001b[1;32m--> 274\u001b[1;33m                          'Tensor. (%s)' % (fetch, str(e)))\n\u001b[0m\u001b[0;32m    275\u001b[0m       \u001b[1;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    276\u001b[0m         raise ValueError('Fetch argument %r cannot be interpreted as a '\n",
      "\u001b[1;31mValueError\u001b[0m: Fetch argument <tf.Tensor 'Maximum:0' shape=() dtype=float32> cannot be interpreted as a Tensor. (Tensor Tensor(\"Maximum:0\", shape=(), dtype=float32) is not an element of this graph.)"
     ]
    }
   ],
   "source": [
    "with graph.as_default():\n",
    "    in_1 = tf.placeholder(tf.float32, shape=[], name=\"input_a\")\n",
    "    in_2 = tf.placeholder(tf.float32, shape=[], name=\"input_b\")\n",
    "    const = tf.constant(3, dtype=tf.float32, name=\"static_value\")\n",
    "    \n",
    "    with tf.name_scope(\"Transformation\"):\n",
    "        with tf.name_scope(\"A\"):\n",
    "            A_mul = tf.multiply(in_1, const)\n",
    "            A_out = tf.subtract(A_mul, in_1)\n",
    "\n",
    "        with tf.name_scope(\"B\"):\n",
    "            B_mul = tf.multiply(in_2, const)\n",
    "            B_out = tf.subtract(B_mul, in_2)\n",
    "\n",
    "        with tf.name_scope(\"C\"):\n",
    "            C_div = tf.div(A_out, B_out)\n",
    "            C_out = tf.add(C_div, const)\n",
    "\n",
    "        with tf.name_scope(\"D\"):\n",
    "            D_div = tf.div(B_out, A_out)\n",
    "            D_out = tf.add(D_div, const)\n",
    "            \n",
    "    out = tf.maximum(C_out, D_out)\n",
    "\n",
    "sess.run(out)        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": []
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