tf_sandbox.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "a = tf.constant(np.arange(12,dtype=np.int32), shape=[2,2,3])\n",
    "b = tf.constant(10*np.arange(12, dtype=np.int32), shape=[2,3,2])\n",
    "c = tf.constant(np.ones(2,dtype=np.int32), shape=[10,1,2])\n",
    "d = tf.constant(np.ones((10,2,6), dtype=np.int32))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sess = tf.InteractiveSession()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 0,  1,  2],\n",
       "        [ 3,  4,  5]],\n",
       "\n",
       "       [[ 6,  7,  8],\n",
       "        [ 9, 10, 11]]], dtype=int32)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[  0,  10],\n",
       "        [ 20,  30],\n",
       "        [ 40,  50]],\n",
       "\n",
       "       [[ 60,  70],\n",
       "        [ 80,  90],\n",
       "        [100, 110]]], dtype=int32)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]],\n",
       "\n",
       "       [[1, 1]]], dtype=int32)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]],\n",
       "\n",
       "       [[1, 1, 1, 1, 1, 1],\n",
       "        [1, 1, 1, 1, 1, 1]]], dtype=int32)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]],\n",
       "\n",
       "       [[2, 2, 2, 2, 2, 2]]], dtype=int32)"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(tf.matmul(c,d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ff = np.arange(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x,y,z = (25,ff.shape[0],35)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "T = tf.constant(np.arange(2*z*y ,dtype=np.int32), shape=[2*z,y])\n",
    "TT = tf.constant(np.arange(2*z*y ,dtype=np.int32), shape=[y,z*2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "f = tf.constant(np.stack(z*[ff],axis=0).astype(np.int32), shape=[z,1,y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[70, 15, 25]"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "T.get_shape().as_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[35, 1, 15]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f.get_shape().as_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "m = tf.matmul(TT,T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[    0,     1,     2, ...,    22,    23,    24],\n",
       "        [   25,    26,    27, ...,    47,    48,    49],\n",
       "        [   50,    51,    52, ...,    72,    73,    74],\n",
       "        ...,\n",
       "        [  300,   301,   302, ...,   322,   323,   324],\n",
       "        [  325,   326,   327, ...,   347,   348,   349],\n",
       "        [  350,   351,   352, ...,   372,   373,   374]],\n",
       "\n",
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       "        [  400,   401,   402, ...,   422,   423,   424],\n",
       "        [  425,   426,   427, ...,   447,   448,   449],\n",
       "        ...,\n",
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       "        [  700,   701,   702, ...,   722,   723,   724],\n",
       "        [  725,   726,   727, ...,   747,   748,   749]],\n",
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       "        [  775,   776,   777, ...,   797,   798,   799],\n",
       "        [  800,   801,   802, ...,   822,   823,   824],\n",
       "        ...,\n",
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       "\n",
       "       ...,\n",
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       "        [12025, 12026, 12027, ..., 12047, 12048, 12049],\n",
       "        [12050, 12051, 12052, ..., 12072, 12073, 12074],\n",
       "        ...,\n",
       "        [12300, 12301, 12302, ..., 12322, 12323, 12324],\n",
       "        [12325, 12326, 12327, ..., 12347, 12348, 12349],\n",
       "        [12350, 12351, 12352, ..., 12372, 12373, 12374]],\n",
       "\n",
       "       [[12375, 12376, 12377, ..., 12397, 12398, 12399],\n",
       "        [12400, 12401, 12402, ..., 12422, 12423, 12424],\n",
       "        [12425, 12426, 12427, ..., 12447, 12448, 12449],\n",
       "        ...,\n",
       "        [12675, 12676, 12677, ..., 12697, 12698, 12699],\n",
       "        [12700, 12701, 12702, ..., 12722, 12723, 12724],\n",
       "        [12725, 12726, 12727, ..., 12747, 12748, 12749]],\n",
       "\n",
       "       [[12750, 12751, 12752, ..., 12772, 12773, 12774],\n",
       "        [12775, 12776, 12777, ..., 12797, 12798, 12799],\n",
       "        [12800, 12801, 12802, ..., 12822, 12823, 12824],\n",
       "        ...,\n",
       "        [13050, 13051, 13052, ..., 13072, 13073, 13074],\n",
       "        [13075, 13076, 13077, ..., 13097, 13098, 13099],\n",
       "        [13100, 13101, 13102, ..., 13122, 13123, 13124]]], dtype=int32)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
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       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]],\n",
       "\n",
       "       [[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14]]],\n",
       "      dtype=int32)"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "\n",
       "       [[ 497875,  497980,  498085,  498190,  498295,  498400,  498505,\n",
       "          498610,  498715,  498820,  498925,  499030,  499135,  499240,\n",
       "          499345,  499450,  499555,  499660,  499765,  499870,  499975,\n",
       "          500080,  500185,  500290,  500395]],\n",
       "\n",
       "       [[ 537250,  537355,  537460,  537565,  537670,  537775,  537880,\n",
       "          537985,  538090,  538195,  538300,  538405,  538510,  538615,\n",
       "          538720,  538825,  538930,  539035,  539140,  539245,  539350,\n",
       "          539455,  539560,  539665,  539770]],\n",
       "\n",
       "       [[ 576625,  576730,  576835,  576940,  577045,  577150,  577255,\n",
       "          577360,  577465,  577570,  577675,  577780,  577885,  577990,\n",
       "          578095,  578200,  578305,  578410,  578515,  578620,  578725,\n",
       "          578830,  578935,  579040,  579145]],\n",
       "\n",
       "       [[ 616000,  616105,  616210,  616315,  616420,  616525,  616630,\n",
       "          616735,  616840,  616945,  617050,  617155,  617260,  617365,\n",
       "          617470,  617575,  617680,  617785,  617890,  617995,  618100,\n",
       "          618205,  618310,  618415,  618520]],\n",
       "\n",
       "       [[ 655375,  655480,  655585,  655690,  655795,  655900,  656005,\n",
       "          656110,  656215,  656320,  656425,  656530,  656635,  656740,\n",
       "          656845,  656950,  657055,  657160,  657265,  657370,  657475,\n",
       "          657580,  657685,  657790,  657895]],\n",
       "\n",
       "       [[ 694750,  694855,  694960,  695065,  695170,  695275,  695380,\n",
       "          695485,  695590,  695695,  695800,  695905,  696010,  696115,\n",
       "          696220,  696325,  696430,  696535,  696640,  696745,  696850,\n",
       "          696955,  697060,  697165,  697270]],\n",
       "\n",
       "       [[ 734125,  734230,  734335,  734440,  734545,  734650,  734755,\n",
       "          734860,  734965,  735070,  735175,  735280,  735385,  735490,\n",
       "          735595,  735700,  735805,  735910,  736015,  736120,  736225,\n",
       "          736330,  736435,  736540,  736645]],\n",
       "\n",
       "       [[ 773500,  773605,  773710,  773815,  773920,  774025,  774130,\n",
       "          774235,  774340,  774445,  774550,  774655,  774760,  774865,\n",
       "          774970,  775075,  775180,  775285,  775390,  775495,  775600,\n",
       "          775705,  775810,  775915,  776020]],\n",
       "\n",
       "       [[ 812875,  812980,  813085,  813190,  813295,  813400,  813505,\n",
       "          813610,  813715,  813820,  813925,  814030,  814135,  814240,\n",
       "          814345,  814450,  814555,  814660,  814765,  814870,  814975,\n",
       "          815080,  815185,  815290,  815395]],\n",
       "\n",
       "       [[ 852250,  852355,  852460,  852565,  852670,  852775,  852880,\n",
       "          852985,  853090,  853195,  853300,  853405,  853510,  853615,\n",
       "          853720,  853825,  853930,  854035,  854140,  854245,  854350,\n",
       "          854455,  854560,  854665,  854770]],\n",
       "\n",
       "       [[ 891625,  891730,  891835,  891940,  892045,  892150,  892255,\n",
       "          892360,  892465,  892570,  892675,  892780,  892885,  892990,\n",
       "          893095,  893200,  893305,  893410,  893515,  893620,  893725,\n",
       "          893830,  893935,  894040,  894145]],\n",
       "\n",
       "       [[ 931000,  931105,  931210,  931315,  931420,  931525,  931630,\n",
       "          931735,  931840,  931945,  932050,  932155,  932260,  932365,\n",
       "          932470,  932575,  932680,  932785,  932890,  932995,  933100,\n",
       "          933205,  933310,  933415,  933520]],\n",
       "\n",
       "       [[ 970375,  970480,  970585,  970690,  970795,  970900,  971005,\n",
       "          971110,  971215,  971320,  971425,  971530,  971635,  971740,\n",
       "          971845,  971950,  972055,  972160,  972265,  972370,  972475,\n",
       "          972580,  972685,  972790,  972895]],\n",
       "\n",
       "       [[1009750, 1009855, 1009960, 1010065, 1010170, 1010275, 1010380,\n",
       "         1010485, 1010590, 1010695, 1010800, 1010905, 1011010, 1011115,\n",
       "         1011220, 1011325, 1011430, 1011535, 1011640, 1011745, 1011850,\n",
       "         1011955, 1012060, 1012165, 1012270]],\n",
       "\n",
       "       [[1049125, 1049230, 1049335, 1049440, 1049545, 1049650, 1049755,\n",
       "         1049860, 1049965, 1050070, 1050175, 1050280, 1050385, 1050490,\n",
       "         1050595, 1050700, 1050805, 1050910, 1051015, 1051120, 1051225,\n",
       "         1051330, 1051435, 1051540, 1051645]],\n",
       "\n",
       "       [[1088500, 1088605, 1088710, 1088815, 1088920, 1089025, 1089130,\n",
       "         1089235, 1089340, 1089445, 1089550, 1089655, 1089760, 1089865,\n",
       "         1089970, 1090075, 1090180, 1090285, 1090390, 1090495, 1090600,\n",
       "         1090705, 1090810, 1090915, 1091020]],\n",
       "\n",
       "       [[1127875, 1127980, 1128085, 1128190, 1128295, 1128400, 1128505,\n",
       "         1128610, 1128715, 1128820, 1128925, 1129030, 1129135, 1129240,\n",
       "         1129345, 1129450, 1129555, 1129660, 1129765, 1129870, 1129975,\n",
       "         1130080, 1130185, 1130290, 1130395]],\n",
       "\n",
       "       [[1167250, 1167355, 1167460, 1167565, 1167670, 1167775, 1167880,\n",
       "         1167985, 1168090, 1168195, 1168300, 1168405, 1168510, 1168615,\n",
       "         1168720, 1168825, 1168930, 1169035, 1169140, 1169245, 1169350,\n",
       "         1169455, 1169560, 1169665, 1169770]],\n",
       "\n",
       "       [[1206625, 1206730, 1206835, 1206940, 1207045, 1207150, 1207255,\n",
       "         1207360, 1207465, 1207570, 1207675, 1207780, 1207885, 1207990,\n",
       "         1208095, 1208200, 1208305, 1208410, 1208515, 1208620, 1208725,\n",
       "         1208830, 1208935, 1209040, 1209145]],\n",
       "\n",
       "       [[1246000, 1246105, 1246210, 1246315, 1246420, 1246525, 1246630,\n",
       "         1246735, 1246840, 1246945, 1247050, 1247155, 1247260, 1247365,\n",
       "         1247470, 1247575, 1247680, 1247785, 1247890, 1247995, 1248100,\n",
       "         1248205, 1248310, 1248415, 1248520]],\n",
       "\n",
       "       [[1285375, 1285480, 1285585, 1285690, 1285795, 1285900, 1286005,\n",
       "         1286110, 1286215, 1286320, 1286425, 1286530, 1286635, 1286740,\n",
       "         1286845, 1286950, 1287055, 1287160, 1287265, 1287370, 1287475,\n",
       "         1287580, 1287685, 1287790, 1287895]],\n",
       "\n",
       "       [[1324750, 1324855, 1324960, 1325065, 1325170, 1325275, 1325380,\n",
       "         1325485, 1325590, 1325695, 1325800, 1325905, 1326010, 1326115,\n",
       "         1326220, 1326325, 1326430, 1326535, 1326640, 1326745, 1326850,\n",
       "         1326955, 1327060, 1327165, 1327270]],\n",
       "\n",
       "       [[1364125, 1364230, 1364335, 1364440, 1364545, 1364650, 1364755,\n",
       "         1364860, 1364965, 1365070, 1365175, 1365280, 1365385, 1365490,\n",
       "         1365595, 1365700, 1365805, 1365910, 1366015, 1366120, 1366225,\n",
       "         1366330, 1366435, 1366540, 1366645]]], dtype=int32)"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sess.run(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TensorShape([Dimension(35), Dimension(1), Dimension(25)])"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.get_shape()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bs = 5\n",
    "numFeat = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "batch = np.array([b*np.ones(numFeat) for b in range(bs)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n",
       "       [1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n",
       "       [2., 2., 2., 2., 2., 2., 2., 2., 2., 2.],\n",
       "       [3., 3., 3., 3., 3., 3., 3., 3., 3., 3.],\n",
       "       [4., 4., 4., 4., 4., 4., 4., 4., 4., 4.]])"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "batch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "T = "
   ]
  }
 ],
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