Karpathy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data has 1115393 characters, 65 unique.\n",
      "('ix ', 28)\n",
      "('ix ', 44)\n",
      "('ix ', 30)\n",
      "('ix ', 28)\n",
      "('ix ', 58)\n",
      "----\n",
      " QgSQu \n",
      "----\n",
      "\n",
      "in loss\n",
      "('inputs shape', (25,))\n",
      "\n",
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      "       [-0.0239313 ],\n",
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      "       [-0.00730307],\n",
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      "('fs t', array([[ -1.80866106e-02],\n",
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      "       [  7.13656026e-03],\n",
      "       [  4.55173276e-03],\n",
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      "       [ -9.92560379e-03],\n",
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      "       [  1.27403100e-02],\n",
      "       [  8.48801389e-04],\n",
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      "       [  1.06238397e-02],\n",
      "       [ -1.70400630e-03],\n",
      "       [  1.22361378e-03],\n",
      "       [  4.25107959e-03],\n",
      "       [ -2.43247868e-03],\n",
      "       [  4.29100630e-04],\n",
      "       [  1.71667054e-03],\n",
      "       [ -1.92955901e-02],\n",
      "       [ -5.13060922e-03],\n",
      "       [ -1.47836412e-02],\n",
      "       [ -4.81249743e-03],\n",
      "       [  3.95041798e-03],\n",
      "       [ -3.27223940e-03],\n",
      "       [ -3.84889286e-03],\n",
      "       [ -1.90439508e-02],\n",
      "       [ -1.19001592e-02],\n",
      "       [ -1.70059759e-02],\n",
      "       [  5.52003093e-04],\n",
      "       [  1.10349155e-02],\n",
      "       [  4.48836121e-03],\n",
      "       [  7.21705548e-03],\n",
      "       [ -2.07743618e-03],\n",
      "       [  6.33336330e-03],\n",
      "       [ -1.12401314e-02],\n",
      "       [ -1.47542109e-02]]))\n",
      "('fs t', array([[ -1.64835440e-02],\n",
      "       [ -6.25273934e-03],\n",
      "       [  2.83665790e-03],\n",
      "       [ -2.25640278e-02],\n",
      "       [ -4.38336245e-03],\n",
      "       [ -4.22603532e-03],\n",
      "       [ -7.21958959e-06],\n",
      "       [  3.71117811e-04],\n",
      "       [ -5.84294790e-03],\n",
      "       [ -1.06819479e-02],\n",
      "       [  7.42055388e-04],\n",
      "       [  2.87057285e-03],\n",
      "       [  4.07084373e-03],\n",
      "       [  6.73969215e-03],\n",
      "       [ -2.18960239e-02],\n",
      "       [ -2.41238647e-02],\n",
      "       [  1.73913669e-03],\n",
      "       [  1.86875258e-03],\n",
      "       [  3.57833708e-03],\n",
      "       [  6.34714762e-03],\n",
      "       [  2.96734325e-03],\n",
      "       [ -3.48292927e-03],\n",
      "       [  5.04656674e-03],\n",
      "       [ -1.57848965e-03],\n",
      "       [ -4.68420157e-03],\n",
      "       [  1.13152129e-02],\n",
      "       [  1.14249717e-02],\n",
      "       [ -1.03863353e-02],\n",
      "       [  9.77132913e-03],\n",
      "       [  1.53029891e-02],\n",
      "       [  1.27221359e-03],\n",
      "       [  1.04120297e-02],\n",
      "       [ -2.01970378e-02],\n",
      "       [ -1.78558648e-03],\n",
      "       [ -1.72741683e-03],\n",
      "       [  1.01869336e-02],\n",
      "       [ -1.75105034e-02],\n",
      "       [  6.75716843e-03],\n",
      "       [ -7.05425525e-03],\n",
      "       [ -1.34123744e-02],\n",
      "       [ -5.45707652e-05],\n",
      "       [ -9.89845815e-03],\n",
      "       [ -9.35421536e-03],\n",
      "       [ -6.10397919e-03],\n",
      "       [  1.30185485e-02],\n",
      "       [ -5.12883351e-03],\n",
      "       [  9.09172223e-03],\n",
      "       [ -1.12908336e-02],\n",
      "       [ -2.36099632e-02],\n",
      "       [ -3.10316978e-03],\n",
      "       [  7.05617930e-03],\n",
      "       [ -2.40179902e-03],\n",
      "       [ -6.93552166e-03],\n",
      "       [ -6.59266199e-03],\n",
      "       [ -3.86578284e-03],\n",
      "       [  5.36909090e-03],\n",
      "       [  2.07087032e-03],\n",
      "       [  2.01275515e-02],\n",
      "       [  4.99595645e-03],\n",
      "       [  8.29151787e-03],\n",
      "       [  1.09239556e-02],\n",
      "       [  1.06525727e-02],\n",
      "       [ -3.56150247e-03],\n",
      "       [  8.34834146e-03],\n",
      "       [ -9.52952515e-03],\n",
      "       [ -4.16288725e-03],\n",
      "       [  2.12687465e-02],\n",
      "       [  3.35307070e-03],\n",
      "       [ -9.08025187e-03],\n",
      "       [  6.36449470e-03],\n",
      "       [ -1.33434093e-02],\n",
      "       [  6.35303406e-04],\n",
      "       [ -9.32941083e-03],\n",
      "       [ -3.47939447e-03],\n",
      "       [  1.65022362e-02],\n",
      "       [  9.66708739e-03],\n",
      "       [ -6.94466371e-03],\n",
      "       [  1.48231593e-03],\n",
      "       [ -9.57796950e-03],\n",
      "       [ -1.22615026e-04],\n",
      "       [ -3.42784788e-03],\n",
      "       [ -9.92014552e-03],\n",
      "       [ -5.56901449e-03],\n",
      "       [ -1.95169445e-02],\n",
      "       [  1.26027780e-03],\n",
      "       [ -1.71108001e-02],\n",
      "       [  2.11901041e-02],\n",
      "       [ -1.18748198e-02],\n",
      "       [  1.00039116e-02],\n",
      "       [  3.84957543e-03],\n",
      "       [ -1.63038193e-02],\n",
      "       [  2.81820038e-03],\n",
      "       [  1.26682292e-02],\n",
      "       [ -3.62043834e-03],\n",
      "       [  1.57067523e-02],\n",
      "       [ -1.41271262e-02],\n",
      "       [ -2.08030096e-04],\n",
      "       [ -2.51638567e-02],\n",
      "       [ -1.43621359e-02],\n",
      "       [ -8.30214696e-03]]))\n",
      "('ix ', 31)\n",
      "('ix ', 45)\n",
      "('ix ', 18)\n",
      "('ix ', 26)\n",
      "('ix ', 29)\n",
      "----\n",
      " RfGOP \n",
      "----\n",
      "\n",
      "in loss\n",
      "('inputs shape', (25,))\n",
      "\n",
      "('fs t', array([[  3.32852997e-03],\n",
      "       [ -1.48269260e-02],\n",
      "       [  9.07523052e-03],\n",
      "       [ -1.44581471e-03],\n",
      "       [ -1.00688112e-02],\n",
      "       [ -1.49262347e-02],\n",
      "       [ -5.16195745e-03],\n",
      "       [  8.02637728e-03],\n",
      "       [  1.10428112e-02],\n",
      "       [ -2.54369114e-03],\n",
      "       [  6.04333268e-03],\n",
      "       [  2.44256091e-03],\n",
      "       [ -6.45953982e-03],\n",
      "       [  1.10331106e-03],\n",
      "       [ -3.49275962e-03],\n",
      "       [ -5.02815577e-03],\n",
      "       [  1.32460259e-02],\n",
      "       [  6.44656572e-03],\n",
      "       [ -2.41377655e-02],\n",
      "       [ -5.44974439e-03],\n",
      "       [ -4.11963613e-03],\n",
      "       [  2.57262650e-03],\n",
      "       [  3.41326012e-03],\n",
      "       [  1.64267965e-03],\n",
      "       [  4.14271830e-03],\n",
      "       [ -8.92933417e-03],\n",
      "       [ -4.76396946e-04],\n",
      "       [ -8.35611016e-03],\n",
      "       [  8.74922612e-05],\n",
      "       [ -5.74873465e-04],\n",
      "       [  2.14904192e-03],\n",
      "       [  6.38245694e-04],\n",
      "       [ -9.15879260e-03],\n",
      "       [ -7.93969942e-03],\n",
      "       [ -1.87331095e-02],\n",
      "       [  5.08847134e-03],\n",
      "       [  1.46851335e-02],\n",
      "       [  5.75080317e-03],\n",
      "       [  1.40917767e-03],\n",
      "       [  2.05454171e-02],\n",
      "       [  1.21809421e-03],\n",
      "       [  1.22927890e-02],\n",
      "       [ -1.04309189e-02],\n",
      "       [  9.24044731e-03],\n",
      "       [  1.79439880e-02],\n",
      "       [  1.53756735e-02],\n",
      "       [  2.74912988e-02],\n",
      "       [ -3.66069847e-03],\n",
      "       [ -5.21053035e-03],\n",
      "       [  1.35407807e-02],\n",
      "       [ -1.49115932e-02],\n",
      "       [  1.18441833e-02],\n",
      "       [  4.55151099e-04],\n",
      "       [ -2.72981415e-03],\n",
      "       [ -1.03542154e-03],\n",
      "       [ -1.85651453e-02],\n",
      "       [  1.20084744e-02],\n",
      "       [ -4.78453195e-03],\n",
      "       [  1.04691307e-03],\n",
      "       [  1.71610565e-02],\n",
      "       [  3.67690089e-03],\n",
      "       [ -3.76825103e-03],\n",
      "       [  2.52195911e-03],\n",
      "       [  4.85841691e-03],\n",
      "       [  1.03816970e-02],\n",
      "       [  1.23804130e-02],\n",
      "       [  7.21599138e-04],\n",
      "       [ -9.79080396e-04],\n",
      "       [ -7.73449238e-03],\n",
      "       [ -3.09755629e-03],\n",
      "       [ -1.58658619e-02],\n",
      "       [ -5.81427563e-03],\n",
      "       [  5.23663120e-03],\n",
      "       [  1.87823308e-03],\n",
      "       [  1.76084896e-02],\n",
      "       [  1.43369324e-02],\n",
      "       [ -4.30826836e-04],\n",
      "       [ -1.16244333e-02],\n",
      "       [  5.06656060e-03],\n",
      "       [  5.27022842e-03],\n",
      "       [ -2.05514038e-02],\n",
      "       [ -1.17171668e-02],\n",
      "       [ -1.84101350e-03],\n",
      "       [  1.01326953e-02],\n",
      "       [  5.14779321e-03],\n",
      "       [  6.82705821e-03],\n",
      "       [ -4.56314204e-03],\n",
      "       [ -2.08173546e-03],\n",
      "       [ -2.42693198e-03],\n",
      "       [  9.04774465e-03],\n",
      "       [ -8.46530316e-03],\n",
      "       [  1.84481308e-02],\n",
      "       [  2.07544349e-03],\n",
      "       [ -1.91369913e-02],\n",
      "       [  1.19107755e-02],\n",
      "       [ -3.76796897e-03],\n",
      "       [ -1.57930233e-02],\n",
      "       [ -8.59160200e-03],\n",
      "       [ -8.02109949e-03],\n",
      "       [ -1.18212277e-02]]))\n",
      "('fs t', array([[-0.02669286],\n",
      "       [-0.01464862],\n",
      "       [-0.0019406 ],\n",
      "       [-0.01335767],\n",
      "       [ 0.01395721],\n",
      "       [-0.00134464],\n",
      "       [-0.01891471],\n",
      "       [-0.00525991],\n",
      "       [ 0.00199527],\n",
      "       [ 0.00957421],\n",
      "       [ 0.01332235],\n",
      "       [-0.00939293],\n",
      "       [ 0.00557512],\n",
      "       [-0.01232664],\n",
      "       [ 0.00475842],\n",
      "       [ 0.00858387],\n",
      "       [-0.00279446],\n",
      "       [-0.00681825],\n",
      "       [ 0.02109707],\n",
      "       [-0.02203689],\n",
      "       [-0.00343236],\n",
      "       [-0.01676842],\n",
      "       [-0.02387801],\n",
      "       [-0.01173175],\n",
      "       [-0.02479675],\n",
      "       [ 0.01737462],\n",
      "       [-0.03230577],\n",
      "       [-0.02265552],\n",
      "       [-0.02661417],\n",
      "       [ 0.00497771],\n",
      "       [-0.01535698],\n",
      "       [-0.01566924],\n",
      "       [-0.01821212],\n",
      "       [-0.0183961 ],\n",
      "       [ 0.00955245],\n",
      "       [-0.01995842],\n",
      "       [ 0.01072868],\n",
      "       [ 0.01781067],\n",
      "       [ 0.00825396],\n",
      "       [-0.00797733],\n",
      "       [-0.02310181],\n",
      "       [-0.00820296],\n",
      "       [ 0.01522   ],\n",
      "       [ 0.00624423],\n",
      "       [-0.0097573 ],\n",
      "       [ 0.00542598],\n",
      "       [-0.01720494],\n",
      "       [-0.00526067],\n",
      "       [-0.04051379],\n",
      "       [ 0.0027389 ],\n",
      "       [-0.02932815],\n",
      "       [ 0.00246721],\n",
      "       [ 0.01118016],\n",
      "       [-0.01760639],\n",
      "       [-0.00956071],\n",
      "       [ 0.00036759],\n",
      "       [-0.0077522 ],\n",
      "       [ 0.0306919 ],\n",
      "       [ 0.01111598],\n",
      "       [ 0.00133623],\n",
      "       [ 0.02119008],\n",
      "       [-0.01596118],\n",
      "       [ 0.00177942],\n",
      "       [-0.00925139],\n",
      "       [ 0.00403926],\n",
      "       [-0.00360866],\n",
      "       [ 0.01174867],\n",
      "       [ 0.00954513],\n",
      "       [ 0.02896865],\n",
      "       [ 0.01562682],\n",
      "       [ 0.00385865],\n",
      "       [ 0.01669301],\n",
      "       [ 0.00763559],\n",
      "       [-0.02637814],\n",
      "       [-0.01000064],\n",
      "       [ 0.0066513 ],\n",
      "       [-0.00958203],\n",
      "       [ 0.00460683],\n",
      "       [-0.01157115],\n",
      "       [ 0.0091974 ],\n",
      "       [ 0.00687988],\n",
      "       [-0.04967281],\n",
      "       [-0.01065735],\n",
      "       [-0.03719148],\n",
      "       [ 0.0143862 ],\n",
      "       [ 0.03171461],\n",
      "       [-0.00933648],\n",
      "       [-0.00026231],\n",
      "       [ 0.02061648],\n",
      "       [-0.01853029],\n",
      "       [ 0.00552122],\n",
      "       [ 0.00610175],\n",
      "       [ 0.0030494 ],\n",
      "       [ 0.02036071],\n",
      "       [ 0.0178601 ],\n",
      "       [-0.0067472 ],\n",
      "       [ 0.00321452],\n",
      "       [ 0.00015538],\n",
      "       [ 0.01188085],\n",
      "       [-0.01110816]]))\n",
      "('fs t', array([[-0.02432351],\n",
      "       [-0.0370587 ],\n",
      "       [-0.00142363],\n",
      "       [ 0.00442888],\n",
      "       [ 0.01681122],\n",
      "       [-0.01864957],\n",
      "       [-0.03663012],\n",
      "       [-0.01342329],\n",
      "       [ 0.01035991],\n",
      "       [ 0.03789146],\n",
      "       [ 0.02819666],\n",
      "       [-0.02680161],\n",
      "       [ 0.00230001],\n",
      "       [-0.02543539],\n",
      "       [-0.01118462],\n",
      "       [-0.01651058],\n",
      "       [-0.00726045],\n",
      "       [-0.00592942],\n",
      "       [ 0.01197636],\n",
      "       [-0.00643834],\n",
      "       [ 0.00104047],\n",
      "       [-0.01014962],\n",
      "       [ 0.01342492],\n",
      "       [-0.00414723],\n",
      "       [-0.02412201],\n",
      "       [ 0.03750261],\n",
      "       [ 0.01484624],\n",
      "       [-0.00617949],\n",
      "       [-0.01909851],\n",
      "       [-0.01032218],\n",
      "       [-0.05262624],\n",
      "       [ 0.01352682],\n",
      "       [ 0.00460428],\n",
      "       [-0.01142209],\n",
      "       [ 0.04575798],\n",
      "       [ 0.01704441],\n",
      "       [ 0.02426362],\n",
      "       [-0.00699876],\n",
      "       [ 0.00721036],\n",
      "       [-0.02905679],\n",
      "       [-0.03420817],\n",
      "       [-0.00520686],\n",
      "       [ 0.03025156],\n",
      "       [ 0.01150649],\n",
      "       [ 0.00314341],\n",
      "       [ 0.02328218],\n",
      "       [-0.01139035],\n",
      "       [-0.0274967 ],\n",
      "       [-0.01052911],\n",
      "       [ 0.00412364],\n",
      "       [-0.02192335],\n",
      "       [-0.00656403],\n",
      "       [ 0.03565476],\n",
      "       [-0.01860726],\n",
      "       [ 0.01080292],\n",
      "       [ 0.00530822],\n",
      "       [-0.01186932],\n",
      "       [ 0.03922005],\n",
      "       [ 0.00122284],\n",
      "       [-0.0145089 ],\n",
      "       [ 0.03437117],\n",
      "       [ 0.01021706],\n",
      "       [ 0.01973034],\n",
      "       [ 0.01141526],\n",
      "       [ 0.03561091],\n",
      "       [-0.02229407],\n",
      "       [ 0.01826012],\n",
      "       [-0.00149065],\n",
      "       [ 0.02746639],\n",
      "       [ 0.00796607],\n",
      "       [-0.01290303],\n",
      "       [ 0.0139809 ],\n",
      "       [ 0.00839747],\n",
      "       [-0.03522806],\n",
      "       [-0.00460609],\n",
      "       [ 0.02291335],\n",
      "       [-0.02763648],\n",
      "       [-0.01013125],\n",
      "       [ 0.03952334],\n",
      "       [ 0.00326364],\n",
      "       [-0.0022865 ],\n",
      "       [-0.01709386],\n",
      "       [ 0.01044556],\n",
      "       [ 0.00187806],\n",
      "       [-0.04534957],\n",
      "       [ 0.0075333 ],\n",
      "       [-0.00805446],\n",
      "       [-0.01824359],\n",
      "       [-0.01374558],\n",
      "       [ 0.0038385 ],\n",
      "       [ 0.00542341],\n",
      "       [ 0.0253723 ],\n",
      "       [ 0.02163866],\n",
      "       [ 0.03451057],\n",
      "       [-0.00238993],\n",
      "       [-0.01427176],\n",
      "       [ 0.02958359],\n",
      "       [ 0.01587303],\n",
      "       [ 0.02792655],\n",
      "       [ 0.00732707]]))\n",
      "('fs t', array([[-0.00990041],\n",
      "       [-0.05689335],\n",
      "       [-0.0156816 ],\n",
      "       [-0.01685416],\n",
      "       [-0.01736213],\n",
      "       [ 0.02606828],\n",
      "       [-0.0250802 ],\n",
      "       [ 0.00862552],\n",
      "       [ 0.00261229],\n",
      "       [ 0.03231382],\n",
      "       [ 0.00160213],\n",
      "       [-0.02835834],\n",
      "       [ 0.02307935],\n",
      "       [-0.01215719],\n",
      "       [ 0.00152094],\n",
      "       [-0.06550052],\n",
      "       [ 0.03410717],\n",
      "       [-0.0140767 ],\n",
      "       [ 0.03365794],\n",
      "       [-0.01707451],\n",
      "       [-0.01713427],\n",
      "       [ 0.00362369],\n",
      "       [ 0.00092701],\n",
      "       [-0.00862568],\n",
      "       [-0.02946524],\n",
      "       [-0.00189167],\n",
      "       [ 0.01189326],\n",
      "       [-0.02818991],\n",
      "       [-0.01493503],\n",
      "       [-0.0058738 ],\n",
      "       [-0.01051601],\n",
      "       [ 0.02395162],\n",
      "       [ 0.02423084],\n",
      "       [-0.02883752],\n",
      "       [ 0.04674274],\n",
      "       [ 0.03830278],\n",
      "       [-0.010078  ],\n",
      "       [ 0.00868254],\n",
      "       [-0.0284784 ],\n",
      "       [-0.03028037],\n",
      "       [-0.00200762],\n",
      "       [-0.047609  ],\n",
      "       [ 0.01588489],\n",
      "       [ 0.02760812],\n",
      "       [ 0.01826047],\n",
      "       [ 0.01093839],\n",
      "       [-0.01573174],\n",
      "       [-0.00199741],\n",
      "       [-0.00773981],\n",
      "       [ 0.02203819],\n",
      "       [ 0.01531867],\n",
      "       [-0.00498933],\n",
      "       [ 0.02137168],\n",
      "       [-0.01065488],\n",
      "       [ 0.0353117 ],\n",
      "       [ 0.01168677],\n",
      "       [-0.0098533 ],\n",
      "       [ 0.07513991],\n",
      "       [-0.00698286],\n",
      "       [-0.01263544],\n",
      "       [ 0.01559753],\n",
      "       [ 0.01098157],\n",
      "       [ 0.01680325],\n",
      "       [-0.0162311 ],\n",
      "       [ 0.04661923],\n",
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      "       [-0.00429701],\n",
      "       [ 0.02629095],\n",
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      "       [-0.00420933]]))\n",
      "('fs t', array([[  4.86765258e-03],\n",
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      "       [  8.68761761e-03],\n",
      "       [ -2.47144495e-02],\n",
      "       [  1.59224605e-03]]))\n",
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      "       [-0.00778624]]))\n",
      "('fs t', array([[ 0.00550533],\n",
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      "       [ 0.01233868],\n",
      "       [ 0.0524067 ],\n",
      "       [-0.01669843],\n",
      "       [-0.00464334]]))\n",
      "('fs t', array([[ 0.02006898],\n",
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      "       [ 0.01290112],\n",
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      "       [ 0.00807085],\n",
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      "('fs t', array([[  1.96869901e-03],\n",
      "       [ -1.39969908e-01],\n",
      "       [  5.56764202e-02],\n",
      "       [  1.34425315e-02],\n",
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      "       [ -6.66889627e-03],\n",
      "       [  3.57339554e-02],\n",
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      "       [ -1.41554693e-03],\n",
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      "       [  4.51232022e-02],\n",
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      "       [  3.56605833e-02],\n",
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      "       [  1.42297501e-02],\n",
      "       [ -2.14529210e-02],\n",
      "       [  1.54123556e-02],\n",
      "       [  1.39629721e-04],\n",
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      "       [ -5.29849436e-03],\n",
      "       [  5.58945277e-03],\n",
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      "       [  4.15885531e-02],\n",
      "       [ -2.73423889e-02],\n",
      "       [ -1.37067503e-03]]))\n",
      "('fs t', array([[  8.98634809e-04],\n",
      "       [ -1.28278751e-01],\n",
      "       [  4.37750094e-02],\n",
      "       [ -3.38461839e-03],\n",
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      "       [  4.91133780e-02],\n",
      "       [ -7.20303700e-03],\n",
      "       [ -2.20358043e-02]]))\n",
      "('fs t', array([[ 0.00201508],\n",
      "       [-0.14944163],\n",
      "       [ 0.03912438],\n",
      "       [ 0.02589153],\n",
      "       [ 0.01158204],\n",
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      "       [ 0.12180722],\n",
      "       [ 0.04365153],\n",
      "       [-0.06078037],\n",
      "       [ 0.07326522],\n",
      "       [ 0.06019024],\n",
      "       [-0.01988239],\n",
      "       [ 0.00381944],\n",
      "       [ 0.01210888],\n",
      "       [-0.11313116],\n",
      "       [-0.04057151],\n",
      "       [ 0.00192881],\n",
      "       [-0.03139048],\n",
      "       [ 0.01940909],\n",
      "       [-0.04373293],\n",
      "       [ 0.07082304],\n",
      "       [-0.07077387],\n",
      "       [-0.00139204],\n",
      "       [ 0.01266752],\n",
      "       [ 0.04750874],\n",
      "       [ 0.00381946],\n",
      "       [-0.0071693 ]]))\n",
      "('fs t', array([[ 0.00062113],\n",
      "       [-0.14788416],\n",
      "       [ 0.05468391],\n",
      "       [-0.00838192],\n",
      "       [-0.02471232],\n",
      "       [-0.0045827 ],\n",
      "       [ 0.04900136],\n",
      "       [ 0.04479825],\n",
      "       [ 0.04178782],\n",
      "       [ 0.03675747],\n",
      "       [ 0.01659049],\n",
      "       [-0.0485394 ],\n",
      "       [ 0.09439917],\n",
      "       [-0.04532105],\n",
      "       [ 0.06082632],\n",
      "       [-0.07591377],\n",
      "       [-0.02187508],\n",
      "       [-0.04738371],\n",
      "       [-0.04347807],\n",
      "       [-0.01659778],\n",
      "       [ 0.01805095],\n",
      "       [-0.00126439],\n",
      "       [ 0.01252816],\n",
      "       [ 0.05395551],\n",
      "       [-0.07219824],\n",
      "       [ 0.02100128],\n",
      "       [-0.00057532],\n",
      "       [-0.01655547],\n",
      "       [ 0.03658574],\n",
      "       [ 0.03596009],\n",
      "       [ 0.04225934],\n",
      "       [ 0.03636341],\n",
      "       [-0.02222691],\n",
      "       [ 0.02246265],\n",
      "       [ 0.00632701],\n",
      "       [ 0.03224157],\n",
      "       [-0.07951536],\n",
      "       [ 0.06899969],\n",
      "       [-0.00425661],\n",
      "       [ 0.0089434 ],\n",
      "       [ 0.066373  ],\n",
      "       [ 0.03648374],\n",
      "       [-0.03549747],\n",
      "       [ 0.0266599 ],\n",
      "       [ 0.10151824],\n",
      "       [ 0.01071669],\n",
      "       [-0.04157517],\n",
      "       [-0.03715126],\n",
      "       [ 0.04183898],\n",
      "       [ 0.04136974],\n",
      "       [-0.01953256],\n",
      "       [ 0.05189614],\n",
      "       [ 0.06284313],\n",
      "       [-0.04986515],\n",
      "       [ 0.00259367],\n",
      "       [ 0.04265836],\n",
      "       [ 0.02664956],\n",
      "       [ 0.08849811],\n",
      "       [ 0.00841361],\n",
      "       [ 0.03740342],\n",
      "       [-0.02401557],\n",
      "       [-0.00813093],\n",
      "       [-0.04535345],\n",
      "       [ 0.00599682],\n",
      "       [ 0.04562282],\n",
      "       [-0.09713828],\n",
      "       [ 0.01868074],\n",
      "       [ 0.03665652],\n",
      "       [-0.03245526],\n",
      "       [ 0.04297435],\n",
      "       [ 0.00691221],\n",
      "       [ 0.0249258 ],\n",
      "       [-0.04840042],\n",
      "       [-0.01257696],\n",
      "       [ 0.03252467],\n",
      "       [ 0.01491385],\n",
      "       [ 0.03775498],\n",
      "       [ 0.0214536 ],\n",
      "       [ 0.09927727],\n",
      "       [ 0.11248694],\n",
      "       [ 0.01563211],\n",
      "       [-0.08576296],\n",
      "       [ 0.06886262],\n",
      "       [ 0.04141447],\n",
      "       [-0.02251485],\n",
      "       [-0.02157088],\n",
      "       [ 0.00330422],\n",
      "       [-0.14094095],\n",
      "       [-0.0006623 ],\n",
      "       [ 0.00263481],\n",
      "       [-0.05292196],\n",
      "       [ 0.02727435],\n",
      "       [ 0.00555863],\n",
      "       [ 0.05444448],\n",
      "       [-0.06070362],\n",
      "       [-0.02364056],\n",
      "       [ 0.01476822],\n",
      "       [ 0.02014801],\n",
      "       [-0.03015853],\n",
      "       [-0.00167778]]))\n",
      "('fs t', array([[ 0.00088195],\n",
      "       [-0.14773385],\n",
      "       [ 0.06530384],\n",
      "       [ 0.01471507],\n",
      "       [ 0.02086779],\n",
      "       [ 0.01080361],\n",
      "       [ 0.02798602],\n",
      "       [ 0.01741746],\n",
      "       [ 0.05693993],\n",
      "       [ 0.01169522],\n",
      "       [ 0.01198755],\n",
      "       [-0.0522734 ],\n",
      "       [ 0.05497891],\n",
      "       [-0.05295042],\n",
      "       [ 0.0561801 ],\n",
      "       [-0.07539188],\n",
      "       [-0.03431286],\n",
      "       [-0.04315784],\n",
      "       [-0.03336377],\n",
      "       [-0.01685931],\n",
      "       [ 0.00640634],\n",
      "       [ 0.01525398],\n",
      "       [ 0.00830057],\n",
      "       [ 0.04408193],\n",
      "       [-0.0492908 ],\n",
      "       [ 0.00015617],\n",
      "       [-0.01195842],\n",
      "       [ 0.00570446],\n",
      "       [ 0.02044655],\n",
      "       [-0.01130688],\n",
      "       [ 0.02505997],\n",
      "       [ 0.00566905],\n",
      "       [-0.02390858],\n",
      "       [ 0.03082132],\n",
      "       [-0.00759301],\n",
      "       [ 0.01614147],\n",
      "       [-0.05991556],\n",
      "       [ 0.02185795],\n",
      "       [ 0.01899746],\n",
      "       [ 0.0116888 ],\n",
      "       [ 0.0538826 ],\n",
      "       [ 0.03195773],\n",
      "       [-0.00874263],\n",
      "       [ 0.02662324],\n",
      "       [ 0.09584124],\n",
      "       [ 0.03549153],\n",
      "       [-0.03699487],\n",
      "       [-0.04011766],\n",
      "       [ 0.06887635],\n",
      "       [ 0.04394775],\n",
      "       [-0.02256511],\n",
      "       [ 0.05778911],\n",
      "       [ 0.04784617],\n",
      "       [-0.03823912],\n",
      "       [ 0.00732098],\n",
      "       [ 0.012826  ],\n",
      "       [ 0.0155349 ],\n",
      "       [ 0.06378071],\n",
      "       [ 0.00761683],\n",
      "       [ 0.03070121],\n",
      "       [-0.02173798],\n",
      "       [-0.00200147],\n",
      "       [-0.05289321],\n",
      "       [-0.01369813],\n",
      "       [ 0.04800899],\n",
      "       [-0.09349197],\n",
      "       [-0.00280407],\n",
      "       [ 0.02500255],\n",
      "       [-0.01934871],\n",
      "       [ 0.02658332],\n",
      "       [ 0.05225189],\n",
      "       [ 0.0221685 ],\n",
      "       [-0.06072628],\n",
      "       [-0.006185  ],\n",
      "       [ 0.01186536],\n",
      "       [ 0.01956986],\n",
      "       [ 0.05741195],\n",
      "       [ 0.02231033],\n",
      "       [ 0.11082659],\n",
      "       [ 0.09457652],\n",
      "       [ 0.05118864],\n",
      "       [-0.07395986],\n",
      "       [ 0.07906405],\n",
      "       [ 0.06244836],\n",
      "       [-0.00285249],\n",
      "       [-0.0098351 ],\n",
      "       [ 0.00333342],\n",
      "       [-0.12326661],\n",
      "       [ 0.00329362],\n",
      "       [ 0.0008781 ],\n",
      "       [-0.03429792],\n",
      "       [ 0.01765599],\n",
      "       [-0.02482746],\n",
      "       [ 0.04770575],\n",
      "       [-0.08951877],\n",
      "       [ 0.01855197],\n",
      "       [ 0.0060417 ],\n",
      "       [ 0.04430765],\n",
      "       [-0.00144181],\n",
      "       [ 0.01561628]]))\n",
      "('fs t', array([[ 0.01026659],\n",
      "       [-0.14581469],\n",
      "       [ 0.05969549],\n",
      "       [ 0.01234531],\n",
      "       [-0.03126515],\n",
      "       [-0.02792426],\n",
      "       [ 0.0450303 ],\n",
      "       [ 0.05708561],\n",
      "       [ 0.06904052],\n",
      "       [ 0.05340267],\n",
      "       [ 0.0136325 ],\n",
      "       [-0.05740336],\n",
      "       [ 0.08937148],\n",
      "       [-0.04465077],\n",
      "       [ 0.09673533],\n",
      "       [-0.05257828],\n",
      "       [-0.02401814],\n",
      "       [-0.03312721],\n",
      "       [-0.04527626],\n",
      "       [-0.0223516 ],\n",
      "       [ 0.02917581],\n",
      "       [-0.00260904],\n",
      "       [ 0.00148596],\n",
      "       [ 0.04057083],\n",
      "       [-0.09541826],\n",
      "       [ 0.03424119],\n",
      "       [-0.01921611],\n",
      "       [-0.01490139],\n",
      "       [ 0.0457489 ],\n",
      "       [ 0.02887853],\n",
      "       [ 0.04442393],\n",
      "       [ 0.03436256],\n",
      "       [-0.02407571],\n",
      "       [ 0.01634582],\n",
      "       [ 0.00646195],\n",
      "       [ 0.02353766],\n",
      "       [-0.05197334],\n",
      "       [ 0.04831921],\n",
      "       [ 0.0141226 ],\n",
      "       [ 0.02560563],\n",
      "       [ 0.06709785],\n",
      "       [ 0.04421538],\n",
      "       [-0.04777848],\n",
      "       [ 0.02347906],\n",
      "       [ 0.07529978],\n",
      "       [ 0.03461786],\n",
      "       [-0.0525897 ],\n",
      "       [-0.02388614],\n",
      "       [ 0.07585346],\n",
      "       [ 0.05434703],\n",
      "       [-0.03498938],\n",
      "       [ 0.05088137],\n",
      "       [ 0.07197798],\n",
      "       [-0.04011647],\n",
      "       [ 0.00316375],\n",
      "       [ 0.0567998 ],\n",
      "       [ 0.02074663],\n",
      "       [ 0.07585978],\n",
      "       [-0.00767856],\n",
      "       [ 0.03666985],\n",
      "       [-0.03093789],\n",
      "       [-0.03847599],\n",
      "       [-0.04535742],\n",
      "       [ 0.01173894],\n",
      "       [ 0.05978316],\n",
      "       [-0.1000594 ],\n",
      "       [ 0.00333027],\n",
      "       [ 0.0120436 ],\n",
      "       [-0.02321206],\n",
      "       [ 0.03392431],\n",
      "       [ 0.00283866],\n",
      "       [ 0.03195414],\n",
      "       [-0.03859084],\n",
      "       [-0.01202406],\n",
      "       [ 0.00605709],\n",
      "       [ 0.00600642],\n",
      "       [ 0.03991202],\n",
      "       [ 0.02194589],\n",
      "       [ 0.1063675 ],\n",
      "       [ 0.10992323],\n",
      "       [ 0.01528689],\n",
      "       [-0.08022326],\n",
      "       [ 0.04317243],\n",
      "       [ 0.04719081],\n",
      "       [-0.03503691],\n",
      "       [-0.00471415],\n",
      "       [-0.00917787],\n",
      "       [-0.13176448],\n",
      "       [-0.02259303],\n",
      "       [-0.0257884 ],\n",
      "       [-0.05032136],\n",
      "       [ 0.00019738],\n",
      "       [ 0.00581365],\n",
      "       [ 0.06150099],\n",
      "       [-0.07497869],\n",
      "       [ 0.00237397],\n",
      "       [ 0.01555733],\n",
      "       [ 0.05164548],\n",
      "       [-0.02607669],\n",
      "       [-0.01437233]]))\n",
      "('fs t', array([[ 0.01812478],\n",
      "       [-0.13925401],\n",
      "       [ 0.05058238],\n",
      "       [ 0.00547719],\n",
      "       [-0.00922736],\n",
      "       [-0.00400101],\n",
      "       [ 0.03480622],\n",
      "       [ 0.02867279],\n",
      "       [ 0.02499824],\n",
      "       [ 0.00593765],\n",
      "       [ 0.04884965],\n",
      "       [-0.02769659],\n",
      "       [ 0.08300236],\n",
      "       [-0.04697184],\n",
      "       [ 0.06040135],\n",
      "       [-0.06418036],\n",
      "       [-0.03468631],\n",
      "       [-0.0467775 ],\n",
      "       [-0.02562241],\n",
      "       [-0.02683872],\n",
      "       [ 0.00806389],\n",
      "       [-0.03229905],\n",
      "       [ 0.00922892],\n",
      "       [ 0.03280699],\n",
      "       [-0.06995578],\n",
      "       [-0.00183573],\n",
      "       [ 0.00930549],\n",
      "       [-0.00253694],\n",
      "       [-0.0005495 ],\n",
      "       [ 0.00905218],\n",
      "       [ 0.04147413],\n",
      "       [ 0.0002537 ],\n",
      "       [-0.01018244],\n",
      "       [ 0.02870599],\n",
      "       [ 0.00405019],\n",
      "       [ 0.01526768],\n",
      "       [-0.05641873],\n",
      "       [ 0.04282283],\n",
      "       [-0.0105871 ],\n",
      "       [ 0.02764153],\n",
      "       [ 0.05685836],\n",
      "       [ 0.0635597 ],\n",
      "       [-0.03388032],\n",
      "       [ 0.02920006],\n",
      "       [ 0.07642933],\n",
      "       [ 0.03865232],\n",
      "       [-0.03507879],\n",
      "       [-0.01228074],\n",
      "       [ 0.04328584],\n",
      "       [ 0.05779511],\n",
      "       [-0.00778575],\n",
      "       [ 0.05786817],\n",
      "       [ 0.04477182],\n",
      "       [-0.04062734],\n",
      "       [-0.00858532],\n",
      "       [ 0.01653002],\n",
      "       [ 0.03127335],\n",
      "       [ 0.08314643],\n",
      "       [-0.0178308 ],\n",
      "       [ 0.05432358],\n",
      "       [-0.04701301],\n",
      "       [-0.02859417],\n",
      "       [-0.01342844],\n",
      "       [ 0.01805405],\n",
      "       [ 0.0358592 ],\n",
      "       [-0.10007859],\n",
      "       [ 0.02178981],\n",
      "       [ 0.03774391],\n",
      "       [-0.04822865],\n",
      "       [ 0.00937666],\n",
      "       [ 0.01837225],\n",
      "       [ 0.02851222],\n",
      "       [-0.04484545],\n",
      "       [-0.0271513 ],\n",
      "       [ 0.00235948],\n",
      "       [-0.00584012],\n",
      "       [ 0.05182536],\n",
      "       [ 0.00766603],\n",
      "       [ 0.09677393],\n",
      "       [ 0.09663233],\n",
      "       [ 0.03516879],\n",
      "       [-0.0574814 ],\n",
      "       [ 0.05965638],\n",
      "       [ 0.04578952],\n",
      "       [-0.03251987],\n",
      "       [-0.00649258],\n",
      "       [ 0.00967696],\n",
      "       [-0.11239585],\n",
      "       [-0.01806085],\n",
      "       [-0.01981346],\n",
      "       [-0.03023552],\n",
      "       [ 0.02891453],\n",
      "       [-0.00277111],\n",
      "       [ 0.0581283 ],\n",
      "       [-0.09133962],\n",
      "       [-0.01384141],\n",
      "       [ 0.03278886],\n",
      "       [ 0.02706531],\n",
      "       [-0.02440247],\n",
      "       [-0.01021145]]))\n",
      "('fs t', array([[ -2.83903740e-03],\n",
      "       [ -1.26807873e-01],\n",
      "       [  4.22640777e-02],\n",
      "       [  1.53888121e-02],\n",
      "       [ -5.43607251e-03],\n",
      "       [ -8.44598647e-04],\n",
      "       [  2.44328538e-02],\n",
      "       [  4.32433651e-02],\n",
      "       [  4.98446153e-02],\n",
      "       [  4.64637409e-02],\n",
      "       [  2.34185231e-02],\n",
      "       [ -4.97550624e-02],\n",
      "       [  8.29665700e-02],\n",
      "       [ -3.68675684e-02],\n",
      "       [  9.23550110e-02],\n",
      "       [ -4.95830665e-02],\n",
      "       [ -2.60465518e-02],\n",
      "       [ -4.58280244e-02],\n",
      "       [ -2.55681795e-02],\n",
      "       [ -3.03473539e-02],\n",
      "       [  8.59041368e-03],\n",
      "       [ -6.45923889e-03],\n",
      "       [ -9.97686929e-03],\n",
      "       [  4.21448808e-02],\n",
      "       [ -4.84557216e-02],\n",
      "       [  1.65990602e-02],\n",
      "       [ -3.38317780e-02],\n",
      "       [ -1.41764884e-02],\n",
      "       [  7.55956281e-03],\n",
      "       [  2.91820150e-02],\n",
      "       [  3.13630391e-02],\n",
      "       [  3.91222219e-03],\n",
      "       [ -4.36576524e-03],\n",
      "       [  1.88279858e-02],\n",
      "       [ -5.08698535e-03],\n",
      "       [ -3.75322529e-03],\n",
      "       [ -5.81941406e-02],\n",
      "       [  6.85924061e-02],\n",
      "       [ -1.05665925e-04],\n",
      "       [  8.17154157e-03],\n",
      "       [  5.77520223e-02],\n",
      "       [  3.85172584e-02],\n",
      "       [ -1.90069768e-02],\n",
      "       [  2.97025224e-02],\n",
      "       [  7.65746024e-02],\n",
      "       [  2.32926055e-02],\n",
      "       [ -5.01928424e-02],\n",
      "       [ -8.14370542e-03],\n",
      "       [  3.23779567e-02],\n",
      "       [  4.26675376e-02],\n",
      "       [ -3.49417806e-02],\n",
      "       [  6.56580749e-02],\n",
      "       [  7.45011216e-02],\n",
      "       [ -3.71855343e-02],\n",
      "       [ -1.19057121e-03],\n",
      "       [  3.23941662e-02],\n",
      "       [  3.03402944e-02],\n",
      "       [  6.68685777e-02],\n",
      "       [  6.26310542e-03],\n",
      "       [  2.29116721e-02],\n",
      "       [ -3.49020816e-02],\n",
      "       [ -3.88527377e-02],\n",
      "       [ -4.14168224e-02],\n",
      "       [ -4.15161904e-03],\n",
      "       [  4.32337620e-02],\n",
      "       [ -8.13458234e-02],\n",
      "       [  2.57036701e-03],\n",
      "       [  3.00489615e-02],\n",
      "       [ -1.56353291e-02],\n",
      "       [  4.66151225e-02],\n",
      "       [  4.11961889e-02],\n",
      "       [  2.47268624e-02],\n",
      "       [ -3.22136043e-02],\n",
      "       [ -1.35375218e-02],\n",
      "       [  2.81356312e-03],\n",
      "       [  7.63816982e-03],\n",
      "       [  5.04321570e-02],\n",
      "       [  2.99651696e-02],\n",
      "       [  9.37053235e-02],\n",
      "       [  1.14631755e-01],\n",
      "       [  2.59177098e-02],\n",
      "       [ -8.36200654e-02],\n",
      "       [  6.40007827e-02],\n",
      "       [  5.48235146e-02],\n",
      "       [ -1.69169044e-02],\n",
      "       [  4.71890477e-03],\n",
      "       [  2.73744589e-03],\n",
      "       [ -1.09315560e-01],\n",
      "       [ -1.28152231e-02],\n",
      "       [  8.21177503e-03],\n",
      "       [ -2.65809946e-02],\n",
      "       [  1.17035976e-02],\n",
      "       [ -3.85433911e-02],\n",
      "       [  6.19540845e-02],\n",
      "       [ -6.23826775e-02],\n",
      "       [ -4.11575390e-03],\n",
      "       [  6.61294327e-03],\n",
      "       [  3.68522507e-02],\n",
      "       [ -1.19813290e-02],\n",
      "       [ -5.26022258e-03]]))\n",
      "finish\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)\n",
    "BSD License\n",
    "\"\"\"\n",
    "import numpy as np\n",
    "\n",
    "# data I/O\n",
    "data = open('input.txt', 'r').read() # should be simple plain text file\n",
    "chars = list(set(data))\n",
    "data_size, vocab_size = len(data), len(chars)\n",
    "print 'data has %d characters, %d unique.' % (data_size, vocab_size)\n",
    "char_to_ix = { ch:i for i,ch in enumerate(chars) }\n",
    "ix_to_char = { i:ch for i,ch in enumerate(chars) }\n",
    "\n",
    "#print(\"chart ot ix \", char_to_ix)\n",
    "#print(\"ix to chart \", ix_to_char)\n",
    "\n",
    "\n",
    "# hyperparameters\n",
    "hidden_size = 100 # size of hidden layer of neurons\n",
    "seq_length = 25 # number of steps to unroll the RNN for\n",
    "learning_rate = 1e-1\n",
    "\n",
    "# model parameters\n",
    "Wxh = np.random.randn(hidden_size, vocab_size)*0.01 # input to hidden\n",
    "Whh = np.random.randn(hidden_size, hidden_size)*0.01 # hidden to hidden\n",
    "Why = np.random.randn(vocab_size, hidden_size)*0.01 # hidden to output\n",
    "bh = np.zeros((hidden_size, 1)) # hidden bias\n",
    "by = np.zeros((vocab_size, 1)) # output bias\n",
    "\n",
    "\n",
    "Wfh = np.random.randn(hidden_size, hidden_size)*0.01 # input to hidden\n",
    "Wfx = np.random.randn(hidden_size, vocab_size)*0.01 # input to hidden\n",
    "\n",
    "def lossFun(inputs, targelossFunts, hprev):\n",
    "  \"\"\"\n",
    "  inputs,targets are both list of integers.\n",
    "  hprev is Hx1 array of initial hidden state\n",
    "  returns the loss, gradients on model parameters, and last hidden state\n",
    "  \"\"\"\n",
    "  xs, hs, ys, ps = {}, {}, {}, {}\n",
    "    \n",
    "  fs = {}  \n",
    "    \n",
    "  hs[-1] = np.copy(hprev)\n",
    "  loss = 0\n",
    "  \n",
    "  print(\"\")\n",
    "  print(\"in loss\")\n",
    "  \n",
    "  print(\"inputs shape\", np.shape(inputs))  \n",
    "    \n",
    "    \n",
    "  print(\"\")    \n",
    "\n",
    "  # forward pass\n",
    "  for t in xrange(len(inputs)):\n",
    "    xs[t] = np.zeros((vocab_size,1)) # encode in 1-of-k representation\n",
    "    xs[t][inputs[t]] = 1\n",
    "    \n",
    "    hs[t] = np.tanh(np.dot(Wxh, xs[t]) + np.dot(Whh, hs[t-1]) + bh) # hidden state\n",
    "    ys[t] = np.dot(Why, hs[t]) + by # unnormalized log probabilities for next chars\n",
    "    \n",
    "    ps[t] = np.exp(ys[t]) / np.sum(np.exp(ys[t])) # probabilities for next chars\n",
    "    \n",
    "   # print(\"bbbb \", [targets[t], 0])\n",
    "    #print(\"zzz \", [targets[t],0])\n",
    "    \n",
    "   # print(\"ddd \", ps[t][targets[t]])\n",
    "    \n",
    "   # print(\"loss1 \", np.log(ps[t][targets[t]]))\n",
    "  #  print(\"loss2 \", np.log(ps[t][targets[t],0]))\n",
    "    \n",
    "   # print(\"wfh shape \", np.shape(Wfh))\n",
    "   # print(\"wfx shape \", np.shape(Wfx))    \n",
    "    \n",
    "   # print(\"hs shape\", np.shape(hs[t-1]) )\n",
    "   # print(\"xs shape\", np.shape(xs[t]) ) \n",
    "\n",
    "    fs[t] = np.dot(Wfh, hs[t-1]) + np.dot(Wfx, xs[t])\n",
    "    \n",
    "    print(\"fs t\", fs[t])\n",
    "    \n",
    "    loss += -np.log(ps[t][targets[t],0]) # softmax (cross-entropy loss)\n",
    "    \n",
    "  # backward pass: compute gradients going backwards\n",
    "  dWxh, dWhh, dWhy = np.zeros_like(Wxh), np.zeros_like(Whh), np.zeros_like(Why)\n",
    "  dbh, dby = np.zeros_like(bh), np.zeros_like(by)\n",
    "  dhnext = np.zeros_like(hs[0])\n",
    "  for t in reversed(xrange(len(inputs))):\n",
    "    dy = np.copy(ps[t])\n",
    "    dy[targets[t]] -= 1 # backprop into y. see http://cs231n.github.io/neural-networks-case-study/#grad if confused here\n",
    "    dWhy += np.dot(dy, hs[t].T)\n",
    "    dby += dy\n",
    "    dh = np.dot(Why.T, dy) + dhnext # backprop into h\n",
    "    dhraw = (1 - hs[t] * hs[t]) * dh # backprop through tanh nonlinearity\n",
    "    dbh += dhraw\n",
    "    dWxh += np.dot(dhraw, xs[t].T)\n",
    "    dWhh += np.dot(dhraw, hs[t-1].T)\n",
    "    dhnext = np.dot(Whh.T, dhraw)\n",
    "    \n",
    "  for dparam in [dWxh, dWhh, dWhy, dbh, dby]:\n",
    "    np.clip(dparam, -5, 5, out=dparam) # clip to mitigate exploding gradients\n",
    "    \n",
    "  return loss, dWxh, dWhh, dWhy, dbh, dby, hs[len(inputs)-1]\n",
    "\n",
    "def sample(h, seed_ix, n):\n",
    "  \"\"\" \n",
    "  sample a sequence of integers from the model \n",
    "  h is memory state, seed_ix is seed letter for first time step\n",
    "  \"\"\"\n",
    "  x = np.zeros((vocab_size, 1))\n",
    "  x[seed_ix] = 1\n",
    "  ixes = []\n",
    "    \n",
    "  for t in xrange(n):\n",
    "    h = np.tanh(np.dot(Wxh, x) + np.dot(Whh, h) + bh)\n",
    "    \n",
    "    y = np.dot(Why, h) + by\n",
    "    p = np.exp(y) / np.sum(np.exp(y))\n",
    "    \n",
    "    #print(\"p \", p)\n",
    "    #print(\"p ravel\", p.ravel())\n",
    "    \n",
    "    ix = np.random.choice(range(vocab_size), p=p.ravel())\n",
    "    \n",
    "    print(\"ix \", ix)\n",
    "    \n",
    "    x = np.zeros((vocab_size, 1))\n",
    "    x[ix] = 1\n",
    "    ixes.append(ix)\n",
    "  return ixes\n",
    "\n",
    "n, p = 0, 0\n",
    "mWxh, mWhh, mWhy = np.zeros_like(Wxh), np.zeros_like(Whh), np.zeros_like(Why)\n",
    "mbh, mby = np.zeros_like(bh), np.zeros_like(by) # memory variables for Adagrad\n",
    "smooth_loss = -np.log(1.0/vocab_size)*seq_length # loss at iteration 0\n",
    "\n",
    "\n",
    "for x in range(0, 2):\n",
    "\n",
    "  # prepare inputs (we're sweeping from left to right in steps seq_length long)\n",
    "  if p+seq_length+1 >= len(data) or n == 0: \n",
    "    hprev = np.zeros((hidden_size,1)) # reset RNN memory\n",
    "    p = 0 # go from start of data\n",
    "    \n",
    "  inputs = [char_to_ix[ch] for ch in data[p:p+seq_length]]\n",
    "  targets = [char_to_ix[ch] for ch in data[p+1:p+seq_length+1]]\n",
    "\n",
    "  # sample from the model now and then\n",
    "  #if n % 5000 == 0:\n",
    "  if 1 == 1:\n",
    "    n = 5\n",
    "\n",
    "    sample_ix = sample(hprev, inputs[0], n)\n",
    "    txt = ''.join(ix_to_char[ix] for ix in sample_ix)\n",
    "    \n",
    "    print '----\\n %s \\n----' % (txt, )\n",
    "\n",
    "  # forward seq_length characters through the net and fetch gradient\n",
    "  loss, dWxh, dWhh, dWhy, dbh, dby, hprev = lossFun(inputs, targets, hprev)\n",
    "  smooth_loss = smooth_loss * 0.999 + loss * 0.001\n",
    "  if n % 5000 == 0: print 'iter %d, loss: %f' % (n, smooth_loss) # print progress\n",
    "  \n",
    "  # perform parameter update with Adagrad\n",
    "  for param, dparam, mem in zip([Wxh, Whh, Why, bh, by], \n",
    "                                [dWxh, dWhh, dWhy, dbh, dby], \n",
    "                                [mWxh, mWhh, mWhy, mbh, mby]):\n",
    "    mem += dparam * dparam\n",
    "    param += -learning_rate * dparam / np.sqrt(mem + 1e-8) # adagrad update\n",
    "\n",
    "  p += seq_length # move data pointer\n",
    "  n += 1 # iteration counter\n",
    "    \n",
    "print(\"finish\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
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