{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Scribe: Realistic Handwriting with TensorFlow" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\"A" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This model is trained on the IAM handwriting dataset and was inspired by the model described by the famous 2014 Alex Graves [paper](http://arxiv.org/abs/1308.0850). It consists of a three-layer recurrent neural network (LSTM cells) with a Gaussian Mixture Density Network (MDN) cap on top. I have also implemented the attention mechanism from the paper which allows the network to 'focus' on character at a time in a sequence as it draws them.\n", "\n", "This iPython notebook (named **sample**) demonstrates how to\n", "1. build the model\n", "2. load saved parameters\n", "3. generate handwriting" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dependencies" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import numpy as np\n", "import numpy.matlib\n", "import matplotlib.pyplot as plt\n", "import matplotlib.cm as cm\n", "%matplotlib inline\n", "\n", "import math\n", "import random\n", "import time\n", "import os\n", "import cPickle as pickle\n", "\n", "import tensorflow as tf #built with TensorFlow version 1.0" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define hyperparameters" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that *tsteps* and *batch_size* are both 1 when we're sampling" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# in the real project class, we use argparse (https://docs.python.org/3/library/argparse.html)\n", "class FakeArgParse():\n", " def __init__(self):\n", " pass\n", "args = FakeArgParse()\n", "\n", "#general model params\n", "args.train = False\n", "args.rnn_size = 100 #400 hidden units\n", "args.tsteps = 256 if args.train else 1\n", "args.batch_size = 32 if args.train else 1\n", "args.nmixtures = 8 # number of Gaussian mixtures in MDN\n", "\n", "#window params\n", "args.kmixtures = 1 # number of Gaussian mixtures in attention mechanism (for soft convolution window)\n", "args.alphabet = ' abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ' #later we'll add an slot for unknown chars\n", "args.tsteps_per_ascii = 25 # an approximate estimate\n", "\n", "#book-keeping\n", "args.save_path = './saved/model.ckpt'\n", "args.data_dir = './data'\n", "args.log_dir = './logs/'\n", "args.text = 'call me ishmael some years ago'\n", "args.style = -1 # don't use a custom style\n", "args.bias = 1.0\n", "args.eos_prob = 0.4 # threshold probability for ending a stroke" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model overview" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's start with an overview. The backbone of the model is three LSTM cells (green). There is a a custom attention mechanism (yellow) which digests a one-hot encoding of the sentence we want the model to write. The Mixture Density Network (red) on top choses apropriate Gaussian distributions from which to sample the next pen point, adding some natural randomness to the model.\n", "\"Handwriting\n", "As we build the model, we'll start with the inputs and work our way upwards through the computational graph. The code is optimized for minibatch training but in this case we already set the `args.batch_size` to 1." ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# in real life the model is a class. I used this hack to make the iPython notebook more readable\n", "class FakeModel():\n", " def __init__(self):\n", " pass\n", "model = FakeModel()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Initialize LSTMs and build LSTM 1" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "\n", "model.char_vec_len = len(args.alphabet) + 1 #plus one for token\n", "model.ascii_steps = len(args.text)\n", "\n", "model.graves_initializer = tf.truncated_normal_initializer(mean=0., stddev=.075, seed=None, dtype=tf.float32)\n", "model.window_b_initializer = tf.truncated_normal_initializer(mean=-3.0, stddev=.25, seed=None, dtype=tf.float32)\n", "\n", "# ----- build the basic recurrent network architecture\n", "cell_func = tf.contrib.rnn.LSTMCell # could be GRUCell or RNNCell\n", "model.cell0 = cell_func(args.rnn_size, state_is_tuple=True, initializer=model.graves_initializer)\n", "model.cell1 = cell_func(args.rnn_size, state_is_tuple=True, initializer=model.graves_initializer)\n", "model.cell2 = cell_func(args.rnn_size, state_is_tuple=True, initializer=model.graves_initializer)\n", "\n", "model.input_data = tf.placeholder(dtype=tf.float32, shape=[None, args.tsteps, 3])\n", "model.target_data = tf.placeholder(dtype=tf.float32, shape=[None, args.tsteps, 3])\n", "model.istate_cell0 = model.cell0.zero_state(batch_size=args.batch_size, dtype=tf.float32)\n", "model.istate_cell1 = model.cell1.zero_state(batch_size=args.batch_size, dtype=tf.float32)\n", "model.istate_cell2 = model.cell2.zero_state(batch_size=args.batch_size, dtype=tf.float32)\n", "\n", "#slice the input volume into separate vols for each tstep\n", "inputs = [tf.squeeze(input_, [1]) for input_ in tf.split(model.input_data, args.tsteps, 1)]\n", "\n", "#build model.cell0 computational graph\n", "outs_cell0, model.fstate_cell0 = tf.contrib.legacy_seq2seq.rnn_decoder(inputs, model.istate_cell0, \\\n", " model.cell0, loop_function=None, scope='cell0')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In the cell above we use the TensorFlow `seq2seq` [API](https://www.tensorflow.org/versions/r0.10/tutorials/seq2seq/index.html) to create three LSTM cells. Learn about how LSTMs work [here](https://colah.github.io/posts/2015-08-Understanding-LSTMs/). When we unroll the model in time, it will look like this (arrows denote flow of data)\n", "\"Handwriting\n", "We've already built the computational graph for the first LSTM cell. Our next task is to build the attention mechanism" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Build the attention mechanism" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The attention mechanism performs a Gaussian convolution over a one-hot encoding of the input text using a mixture of Gaussians. Its final output is a soft window into the one-hot encoding of the character the model thinks it is drawing. When we stack these soft windows vertically over time, we get a heatmap like this:\n", "\n", "\"One-hot\n", "\n", "Don't worry about how the mixture of Gaussians works together - we'll go over this in more detail later. For now, focus on building an intuition for how the parameters $\\alpha$, $\\beta$, and $\\kappa$ affect the window's behavior.\n", "\n", "These three parameters control the character window $w_t$ according to\n", "$$(\\hat \\alpha_t,\\hat \\beta_t, \\hat \\kappa_t)=W_{h^1 p}h_t^1+b_p$$\n", "\n", "Each of these parameters are outputs from a dense layer on top of the first LSTM which we then transform according to:\n", "$$\\alpha_t=\\exp (\\hat \\alpha_t) \\quad \\quad \\beta_t=\\exp (\\hat \\beta_t) \\quad \\quad \\kappa_t= \\kappa_{t-1} + \\exp (\\hat \\kappa_t)$$\n", "\n", "From these parameters we can construct the window as a convolution:\n", "$$w_t=\\sum_{u=1}^U \\phi(t,u)c_u \\quad \\quad \\phi(t,u)= \\sum_{k=1}^K \\alpha_t^k \\exp \\left( -\\beta_t^k(\\kappa_t^k-u)^2 \\right)$$" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [], "source": [ "# ----- build the gaussian character window\n", "def get_window(alpha, beta, kappa, c):\n", " # phi -> [? x 1 x ascii_steps] and is a tf matrix\n", " # c -> [? x ascii_steps x alphabet] and is a tf matrix\n", " ascii_steps = c.get_shape()[1].value #number of items in sequence\n", " phi = get_phi(ascii_steps, alpha, beta, kappa)\n", " window = tf.matmul(phi,c)\n", " window = tf.squeeze(window, [1]) # window ~ [?,alphabet]\n", " return window, phi\n", "\n", "#get phi for all t,u (returns a [1 x tsteps] matrix) that defines the window\n", "def get_phi(ascii_steps, alpha, beta, kappa):\n", " # alpha, beta, kappa -> [?,kmixtures,1] and each is a tf variable\n", " u = np.linspace(0,ascii_steps-1,ascii_steps) # weight all the U items in the sequence\n", " kappa_term = tf.square( tf.subtract(kappa,u))\n", " exp_term = tf.multiply(-beta,kappa_term)\n", " phi_k = tf.multiply(alpha, tf.exp(exp_term))\n", " phi = tf.reduce_sum(phi_k,1, keep_dims=True)\n", " return phi # phi ~ [?,1,ascii_steps]\n", "\n", "def get_window_params(i, out_cell0, kmixtures, prev_kappa, reuse=True):\n", " hidden = out_cell0.get_shape()[1]\n", " n_out = 3*kmixtures\n", " with tf.variable_scope('window',reuse=reuse):\n", " window_w = tf.get_variable(\"window_w\", [hidden, n_out], initializer=model.graves_initializer)\n", " window_b = tf.get_variable(\"window_b\", [n_out], initializer=model.window_b_initializer)\n", " abk_hats = tf.nn.xw_plus_b(out_cell0, window_w, window_b) # abk_hats ~ [?,n_out] = \"alpha, beta, kappa hats\"\n", " abk = tf.exp(tf.reshape(abk_hats, [-1, 3*kmixtures,1]))\n", "\n", " alpha, beta, kappa = tf.split(abk, 3, 1) # alpha_hat, etc ~ [?,kmixtures]\n", " kappa = kappa + prev_kappa\n", " return alpha, beta, kappa # each ~ [?,kmixtures,1]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Alex Graves gives a really nice intuition for the roles of $\\alpha$, $\\beta$, and $\\kappa$ in his paper:\n", ">\"Intuitively, the $\\kappa_t$ parameters\n", "control the location of the window, the $\\beta_t$ parameters control the width of\n", "the window and the $\\alpha_t$ parameters control the importance of the window within\n", "the mixture.\"\n", "\n", "Now that we've defined how the attention mechanism works, we need to loop through each of LSTM 1's outputs states and use them as inputs to the attention mechanism. Then, we simply concatenate the outputs of the attention mechanism to the LSTM's state vector. While we're at it, we concatenate the original pen stroke data for good measure. The modified LSTM 1 state vector looks like this:\n", "\"Motified" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "\n", "model.init_kappa = tf.placeholder(dtype=tf.float32, shape=[None, args.kmixtures, 1]) \n", "model.char_seq = tf.placeholder(dtype=tf.float32, shape=[None, model.ascii_steps, model.char_vec_len])\n", "wavg_prev_kappa = model.init_kappa\n", "prev_window = model.char_seq[:,0,:]\n", "\n", "#add gaussian window result\n", "reuse = False\n", "for i in range(len(outs_cell0)):\n", " [alpha, beta, new_kappa] = get_window_params(i, outs_cell0[i], args.kmixtures, wavg_prev_kappa, reuse=reuse)\n", " window, phi = get_window(alpha, beta, new_kappa, model.char_seq)\n", " outs_cell0[i] = tf.concat((outs_cell0[i],window), 1) #concat outputs\n", " outs_cell0[i] = tf.concat((outs_cell0[i],inputs[i]), 1) #concat input data\n", "# prev_kappa = new_kappa #tf.ones_like(new_kappa, dtype=tf.float32, name=\"prev_kappa_ones\") #\n", " wavg_prev_kappa = tf.reduce_mean( new_kappa, reduction_indices=1, keep_dims=True) # mean along kmixtures dimension\n", " reuse = True\n", "model.window = window #save the last window (for generation)\n", "model.phi = phi #save the last window (for generation)\n", "model.new_kappa = new_kappa #save the last window (for generation)\n", "model.alpha = alpha #save the last window (for generation)\n", "model.wavg_prev_kappa = wavg_prev_kappa" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Build LSTMs 2 and 3" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [], "source": [ "\n", "# ----- finish building second recurrent cell\n", "outs_cell1, model.fstate_cell1 = tf.contrib.legacy_seq2seq.rnn_decoder(outs_cell0, model.istate_cell1, model.cell1, \\\n", " loop_function=None, scope='cell1') #use scope from training\n", "\n", "# ----- finish building third recurrent cell\n", "outs_cell2, model.fstate_cell2 = tf.contrib.legacy_seq2seq.rnn_decoder(outs_cell1, model.istate_cell2, model.cell2, \\\n", " loop_function=None, scope='cell2')\n", "\n", "out_cell2 = tf.reshape(tf.concat(outs_cell2, 1), [-1, args.rnn_size]) #concat outputs for efficiency" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Build Mixture Density Network (MDN)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The core idea is to have a network that predicts an entire distribution. Here we are predicting a mixture of Gaussians distributions by estimating their the means and covariances with the output from a dense neural network. In effect, the network will be able to estimate its own uncertainty. When the target is noisy it will predict diffuse distributions and where the target is really likely it will predict a peaky distribution.\n", "\n", "If the following plot represents the target data space, then the MDN will fit Gaussian distributions as shown. Since we are drawing from a mixture of Gaussians, we use make the network predict $\\pi$, which defines how likely a given point was drawn from each Gaussian in the mixture.\n", "\n", "\"Mixture\n", "\n", "The $\\pi$ values in the image are likely values for the red dot. The probability that it came from the first distribution is really unlikely, but the probablities are pretty evenly balanced between the second two" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### First, build the dense NN" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "\n", "#put a dense cap on top of the rnn cells (to interface with the mixture density network)\n", "n_out = 1 + args.nmixtures * 6 # params = end_of_stroke + 6 parameters per Gaussian\n", "with tf.variable_scope('mdn_dense'):\n", " output_w = tf.get_variable(\"output_w\", [args.rnn_size, n_out], initializer=model.graves_initializer)\n", " output_b = tf.get_variable(\"output_b\", [n_out], initializer=model.graves_initializer)\n", "\n", "output = tf.nn.xw_plus_b(out_cell2, output_w, output_b) #data flows through dense nn" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Next, define a 2D Gaussian using tensor operations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A 2D gaussian looks like\n", "$\\mathcal{N}(x|\\mu,\\sigma,\\rho)=\\frac{1}{2\\pi\\sigma_1\\sigma_2\\sqrt(1-\\rho^2)}exp\\left[\\frac{-Z}{2(1-\\rho^2)}\\right]$ where $Z=\\frac{(x_1-\\mu_1)^2}{\\sigma_1^2}+\\frac{(x_2-\\mu_2)^2}{\\sigma_2^2}-\\frac{2\\rho(x_1-\\mu_1)(x_2-\\mu_2)}{\\sigma_1\\sigma_2}$" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# ----- build mixture density cap on top of second recurrent cell\n", "def gaussian2d(x1, x2, mu1, mu2, s1, s2, rho):\n", " # define gaussian mdn (eq 24, 25 from http://arxiv.org/abs/1308.0850)\n", " x_mu1 = tf.subtract(x1, mu1)\n", " x_mu2 = tf.subtract(x2, mu2)\n", " Z = tf.square(tf.div(x_mu1, s1)) + \\\n", " tf.square(tf.div(x_mu2, s2)) - \\\n", " 2*tf.div(tf.multiply(rho, tf.multiply(x_mu1, x_mu2)), tf.multiply(s1, s2))\n", " rho_square_term = 1-tf.square(rho)\n", " power_e = tf.exp(tf.div(-Z,2*rho_square_term))\n", " regularize_term = 2*np.pi*tf.multiply(tf.multiply(s1, s2), tf.sqrt(rho_square_term))\n", " gaussian = tf.div(power_e, regularize_term)\n", " return gaussian" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Finally, transform the NN outputs into parameters for a mixture of Gaussians" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The gaussian mixture density network parameters are \n", "\n", "$$e_t=\\frac{1}{1+\\exp(\\hat e_t)} \\quad \\quad \\pi_t^j=\\frac{\\exp(\\hat \\pi_t^j)}{\\sum_{j'=1}^M\\exp(\\hat \\pi_t^{j'})} \\quad \\quad \\mu_t^j=\\hat \\mu_t^j \\quad \\quad \\sigma_t^j=\\exp(\\hat \\sigma_t^j) \\quad \\quad \\rho_t^j=\\tanh(\\hat \\rho_t^j)$$" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# now transform dense NN outputs into params for MDN\n", "def get_mdn_coef(Z):\n", " # returns the tf slices containing mdn dist params (eq 18...23 of http://arxiv.org/abs/1308.0850)\n", " eos_hat = Z[:, 0:1] #end of sentence tokens\n", " pi_hat, mu1_hat, mu2_hat, sigma1_hat, sigma2_hat, rho_hat = tf.split(Z[:, 1:], 6, 1)\n", " model.pi_hat, model.sigma1_hat, model.sigma2_hat = \\\n", " pi_hat, sigma1_hat, sigma2_hat # these are useful for biasing\n", " \n", " eos = tf.sigmoid(-1*eos_hat) # technically we gained a negative sign\n", " pi = tf.nn.softmax(pi_hat) # softmax z_pi:\n", " mu1 = mu1_hat; mu2 = mu2_hat # leave mu1, mu2 as they are\n", " sigma1 = tf.exp(sigma1_hat); sigma2 = tf.exp(sigma2_hat) # exp for sigmas\n", " rho = tf.tanh(rho_hat) # tanh for rho (squish between -1 and 1)\n", "\n", " return [eos, pi, mu1, mu2, sigma1, sigma2, rho]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we just map the outputs from the dense NN to the Gaussian mixture parameters." ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [], "source": [ "\n", "# reshape target data (as we did the input data)\n", "flat_target_data = tf.reshape(model.target_data,[-1, 3])\n", "[x1_data, x2_data, eos_data] = tf.split(flat_target_data, 3, 1) #we might as well split these now\n", "[model.eos, model.pi, model.mu1, model.mu2, model.sigma1, model.sigma2, model.rho] = get_mdn_coef(output)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Side note: loss" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We don't actually need to calculate loss in order to generate handwriting, but it is necessary for training the model. I'll provide the equations from the original paper but omit the code. If you want to see how to implement them in TensorFlow, check out the model.py file in this Github project.\n", "\n", "We define in terms of the MDN parameters and the target data as follows:\n", "$$ \\mathcal{L}(x)=\\sum_{t=1}^{T} -log\\left(\\sum_{j} \\pi_t^j\\mathcal{N}(x_{t+1}|\\mu_t^j,\\sigma_t^j,\\rho_t^j)\n", "\\right)\n", "-\\left\\{\n", " \\begin{array}{ll}\n", " \\log e_t & (x_{t+1})_3=1\\\\\n", " \\log(1-e_t) & \\quad \\mathrm{otherwise}\n", " \\end{array}\n", " \\right.\n", "$$" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load saved model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now that the entire model is built, we can start a session and try to load weights from a saved model. Look on this project's Github page for instructions on how to download a pretrained model." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "loaded model: ./saved/model.ckpt-110500\n" ] } ], "source": [ "model.sess = tf.InteractiveSession()\n", "model.saver = tf.train.Saver(tf.global_variables())\n", "model.sess.run(tf.global_variables_initializer())\n", "\n", "load_was_success = True # yes, I'm being optimistic\n", "global_step = 0\n", "try:\n", " save_dir = '/'.join(args.save_path.split('/')[:-1])\n", " ckpt = tf.train.get_checkpoint_state(save_dir)\n", " load_path = ckpt.model_checkpoint_path\n", " model.saver.restore(model.sess, load_path)\n", "except:\n", " print \"no saved model to load. starting new session\"\n", " load_was_success = False\n", "else:\n", " print \"loaded model: {}\".format(load_path)\n", " model.saver = tf.train.Saver(tf.global_variables())\n", " global_step = int(load_path.split('-')[-1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Generate handwriting!" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# utility function for converting input ascii characters into vectors the network can understand.\n", "# index position 0 means \"unknown\"\n", "def to_one_hot(s, ascii_steps, alphabet):\n", " steplimit=3e3; s = s[:3e3] if len(s) > 3e3 else s # clip super-long strings\n", " seq = [alphabet.find(char) + 1 for char in s]\n", " if len(seq) >= ascii_steps:\n", " seq = seq[:ascii_steps]\n", " else:\n", " seq = seq + [0]*(ascii_steps - len(seq))\n", " one_hot = np.zeros((ascii_steps,len(alphabet)+1))\n", " one_hot[np.arange(ascii_steps),seq] = 1\n", " return one_hot" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Prime the model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This is a function that is meant to 'prime' the model on a particular style of handwriting. Graves does this in his paper but I was unable to replicate his success. Currently, when I prime the network I get signs of that style, but the output becomes far more messy and unpredictable" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "collapsed": false }, "outputs": [], "source": [ "def get_style_states(model, args):\n", " with open(os.path.join(args.data_dir, 'styles.p'),'r') as f:\n", " style_strokes, style_strings = pickle.load(f)\n", "\n", " style_strokes, style_string = style_strokes[args.style], style_strings[args.style]\n", " style_onehot = [to_one_hot(style_string, model.ascii_steps, args.alphabet)]\n", "\n", " c0, c1, c2 = model.istate_cell0.c.eval(), model.istate_cell1.c.eval(), model.istate_cell2.c.eval()\n", " h0, h1, h2 = model.istate_cell0.h.eval(), model.istate_cell1.h.eval(), model.istate_cell2.h.eval()\n", " if args.style is -1: return [c0, c1, c2, h0, h1, h2] #model 'chooses' random style\n", " \n", " style_stroke = np.zeros((1, 1, 3), dtype=np.float32)\n", " style_kappa = np.zeros((1, args.kmixtures, 1))\n", " prime_len = 500 # must be <= 700\n", " \n", " for i in xrange(prime_len):\n", " style_stroke[0][0] = style_strokes[i,:]\n", " feed = {model.input_data: style_stroke, model.char_seq: style_onehot, model.init_kappa: style_kappa, \\\n", " model.istate_cell0.c: c0, model.istate_cell1.c: c1, model.istate_cell2.c: c2, \\\n", " model.istate_cell0.h: h0, model.istate_cell1.h: h1, model.istate_cell2.h: h2}\n", " fetch = [model.wavg_prev_kappa, \\\n", " model.fstate_cell0.c, model.fstate_cell1.c, model.fstate_cell2.c,\n", " model.fstate_cell0.h, model.fstate_cell1.h, model.fstate_cell2.h]\n", " [style_kappa, c0, c1, c2, h0, h1, h2] = model.sess.run(fetch, feed)\n", " return [c0, c1, c2, np.zeros_like(h0), np.zeros_like(h1), np.zeros_like(h2)] #only the c vectors should be primed" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Prepare feed parameters for the model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When you ask TensorFlow to find the values in one or more of its tensors, you pass these tensors in as a list. This is your `fetch` list. TensorFlow looks through the computational graph you've built and figures out all of the inputs it needs in order to calculate values for the tensors in the `fetch` list. It takes these inputs as a `feed` dictionary, where the keys are TensorFlow entry-point variables (called Placeholders) and the values are numpy inputs.\n", "\n", "In the next cell, we'll collect all the numpy values we'll need to make the `feed` dictionary when we evaluate the model" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# initialize some sampling parameters\n", "one_hot = [to_one_hot(args.text, model.ascii_steps, args.alphabet)] # convert input string to one-hot vector\n", "[c0, c1, c2, h0, h1, h2] = get_style_states(model, args) # get numpy zeros states for all three LSTMs\n", "kappa = np.zeros((1, args.kmixtures, 1)) # attention's read head starts at index 0\n", "prev_x = np.asarray([[[0, 0, 1]]], dtype=np.float32) # start with a pen stroke at (0,0)\n", "\n", "strokes, pis, windows, phis, kappas = [], [], [], [], [] # the data we're going to generate will go here" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sample from the model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Each loop is a full pass through the model. The input for the model at time t $i_t$ is the output from the model at time t-1 $o_{t-1}$" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "collapsed": true }, "outputs": [], "source": [ "def sample_gaussian2d(mu1, mu2, s1, s2, rho):\n", " mean = [mu1, mu2]\n", " cov = [[s1*s1, rho*s1*s2], [rho*s1*s2, s2*s2]]\n", " x = np.random.multivariate_normal(mean, cov, 1)\n", " return x[0][0], x[0][1]" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": false }, "outputs": [], "source": [ "finished = False ; i = 0\n", "while not finished and i < 800:\n", " feed = {model.input_data: prev_x, model.char_seq: one_hot, model.init_kappa: kappa, \\\n", " model.istate_cell0.c: c0, model.istate_cell1.c: c1, model.istate_cell2.c: c2, \\\n", " model.istate_cell0.h: h0, model.istate_cell1.h: h1, model.istate_cell2.h: h2}\n", " fetch = [model.pi_hat, model.mu1, model.mu2, model.sigma1_hat, model.sigma2_hat, model.rho, model.eos, \\\n", " model.window, model.phi, model.new_kappa, model.wavg_prev_kappa, model.alpha, \\\n", " model.fstate_cell0.c, model.fstate_cell1.c, model.fstate_cell2.c,\\\n", " model.fstate_cell0.h, model.fstate_cell1.h, model.fstate_cell2.h]\n", " [pi_hat, mu1, mu2, sigma1_hat, sigma2_hat, rho, eos, window, phi, kappa, wavg_kappa, alpha, \\\n", " c0, c1, c2, h0, h1, h2] = model.sess.run(fetch, feed)\n", " \n", " #bias stuff:\n", " sigma1 = np.exp(sigma1_hat - args.bias)\n", " sigma2 = np.exp(sigma2_hat - args.bias)\n", " pi_hat *= 1 + args.bias # apply bias\n", " pi = np.zeros_like(pi_hat) # need to preallocate\n", " pi[0] = np.exp(pi_hat[0]) / np.sum(np.exp(pi_hat[0]), axis=0) # softmax\n", " \n", " # choose a component from the MDN\n", " idx = np.random.choice(pi.shape[1], p=pi[0])\n", " eos = 1 if args.eos_prob < eos[0][0] else 0 # use 0.5 as arbitrary boundary\n", " x1, x2 = sample_gaussian2d(mu1[0][idx], mu2[0][idx], sigma1[0][idx], sigma2[0][idx], rho[0][idx])\n", " \n", " # store the info at this time step\n", " windows.append(window)\n", " phis.append(phi[0])\n", " kappas.append(kappa[0])\n", " pis.append(pi[0])\n", " strokes.append([mu1[0][idx], mu2[0][idx], sigma1[0][idx], sigma2[0][idx], rho[0][idx], eos])\n", " \n", " # test if finished (has the read head seen the whole ascii sequence?)\n", " main_kappa_idx = np.where(alpha[0]==np.max(alpha[0])); # choose the read head with the highes alpha value\n", " finished = True if kappa[0][main_kappa_idx] > len(args.text) + 1 else False\n", " \n", " # new input is previous output\n", " prev_x[0][0] = np.array([x1, x2, eos], dtype=np.float32)\n", " kappa = wavg_kappa\n", " i+=1\n", "windows = np.vstack(windows)\n", "phis = np.vstack(phis)\n", "kappas = np.vstack(kappas)\n", "pis = np.vstack(pis)\n", "strokes = np.vstack(strokes)\n", "\n", "# the network predicts the displacements between pen points, so do a running sum over the time dimension\n", "strokes[:,:2] = np.cumsum(strokes[:,:2], axis=0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Plots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Phis and Soft attention window\n", "\n", "**Phis:** A time series plot of the window's position. The vertical axis is time (descending) and the horizontal axis is the sequence of ascii characters that the model is drawing.\n", "\n", "**Soft attention window:** A time series of one-hot encodings produced by the attention mechanism. Again, the vertical axis is time. The horizontal axis what the model sees when it looks through the soft window.\n", "\n", "Note that the bright stripes in the first plot are the model’s way of encoding the end of a pen stroke. We never hard-coded this behavior!" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAABScAAAGVCAYAAAAMgUS9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmwG/jwAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plots parameters from the attention mechanism\n", "def window_plots(phis, windows):\n", " plt.figure(figsize=(16,4))\n", " plt.subplot(121)\n", " plt.title('Phis', fontsize=20)\n", " plt.xlabel(\"ascii #\", fontsize=15)\n", " plt.ylabel(\"time steps\", fontsize=15)\n", " plt.imshow(phis, interpolation='nearest', aspect='auto', cmap=cm.jet)\n", " plt.subplot(122)\n", " plt.title('Soft attention window', fontsize=20)\n", " plt.xlabel(\"one-hot vector\", fontsize=15)\n", " plt.ylabel(\"time steps\", fontsize=15)\n", " plt.imshow(windows, interpolation='nearest', aspect='auto', cmap=cm.jet)\n", " \n", "window_plots(phis, windows)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Mixture Density Network $\\pi$ probabilities:\n", "Each element of the `pis` vector corresponds to the probability that the model will sample a point from that Gaussian component. Notice that the model has learned to draw from different distributions depending on what letters/strokes it is drawing" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAArsAAAGRCAYAAABlvHtPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,4))\n", "plt.title(\"How MDN $\\pi$ values change over time\", fontsize=15)\n", "plt.xlabel(\"$\\pi$ values\", fontsize=15)\n", "plt.ylabel(\"time step\", fontsize=15)\n", "plt.imshow(pis, interpolation='nearest', aspect='auto', cmap=cm.jet)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Stroke probability\n", "The model as learned to predict diffuse distributions at the beginning of pen strokes and peaky distributions in the middle (where uncertainty in the next point's location is much lower)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAACy0AAAF6CAYAAACux1YlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def gauss_plot(strokes, title, figsize = (20,2)):\n", " plt.figure(figsize=figsize)\n", " import matplotlib.mlab as mlab\n", " buff = 1 ; epsilon = 1e-4\n", " minx, maxx = np.min(strokes[:,0])-buff, np.max(strokes[:,0])+buff\n", " miny, maxy = np.min(strokes[:,1])-buff, np.max(strokes[:,1])+buff\n", " delta = abs(maxx-minx)/400. ;\n", "\n", " x = np.arange(minx, maxx, delta)\n", " y = np.arange(miny, maxy, delta)\n", " X, Y = np.meshgrid(x, y)\n", " Z = np.zeros_like(X)\n", " for i in range(strokes.shape[0]):\n", " gauss = mlab.bivariate_normal(X, Y, mux=strokes[i,0], muy=strokes[i,1], \\\n", " sigmax=strokes[i,2], sigmay=strokes[i,3], sigmaxy=0) # sigmaxy=strokes[i,4] gives error\n", " Z += gauss * np.power(strokes[i,3] + strokes[i,2], .4) / (np.max(gauss) + epsilon)\n", "\n", " plt.title(title, fontsize=20)\n", " plt.imshow(Z)\n", " \n", "gauss_plot(strokes, \"Stroke probability\", figsize = (2*model.ascii_steps,4))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Line plot:\n", "Last but not least, let's generate some handwriting. Since the LSTMs' states start out as zeros, the model generally chooses a random style and then maintains that style for the rest of the sample. If you repeat the sampling a couple times, you'll see everything from messy, scrawling cursive to neat print. Each 'style' comes from one of the writers of the dataset." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAACUsAAADfCAYAAADF9BA6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plots the stroke data (handwriting!)\n", "def line_plot(strokes, title, figsize = (20,2)):\n", " plt.figure(figsize=figsize)\n", " eos_preds = np.where(strokes[:,-1] == 1)\n", " eos_preds = [0] + list(eos_preds[0]) + [-1] #add start and end indices\n", " for i in range(len(eos_preds)-1):\n", " start = eos_preds[i]+1\n", " stop = eos_preds[i+1]\n", " plt.plot(strokes[start:stop,0], strokes[start:stop,1],'b-', linewidth=2.0) #draw a stroke\n", " plt.title(title, fontsize=20)\n", " plt.gca().invert_yaxis()\n", " plt.show()\n", " \n", "line_plot(strokes, 'Line plot: \"{}\"'.format(args.text), figsize=(model.ascii_steps,2))" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.10" } }, "nbformat": 4, "nbformat_minor": 0 }