{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import tensorflow as tf\n",
"from tensorflow.examples.tutorials.mnist import input_data\n",
"from tensorbayes.layers import Constant, Placeholder, Dense, GaussianSample\n",
"from tensorbayes.distributions import log_bernoulli_with_logits, log_normal\n",
"from tensorbayes.tbutils import cross_entropy_with_logits\n",
"from tensorbayes.nbutils import show_graph\n",
"from tensorbayes.utils import progbar\n",
"import numpy as np\n",
"import sys\n",
"from shared_subgraphs import qy_graph, qz_graph, labeled_loss\n",
"from utils import train"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Extracting MNIST_data/train-images-idx3-ubyte.gz\n",
"Extracting MNIST_data/train-labels-idx1-ubyte.gz\n",
"Extracting MNIST_data/t10k-images-idx3-ubyte.gz\n",
"Extracting MNIST_data/t10k-labels-idx1-ubyte.gz\n"
]
}
],
"source": [
"mnist = input_data.read_data_sets(\"MNIST_data/\", one_hot=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## M2 Model"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can train Kingma's original M2 model in an unsupervised fashion."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def px_graph(z, y):\n",
" reuse = len(tf.get_collection(tf.GraphKeys.VARIABLES, scope='px')) > 0\n",
" # -- p(x)\n",
" with tf.variable_scope('px'):\n",
" zy = tf.concat(1, (z, y), name='zy/concat')\n",
" h1 = Dense(zy, 512, 'layer1', tf.nn.relu, reuse=reuse)\n",
" h2 = Dense(h1, 512, 'layer2', tf.nn.relu, reuse=reuse)\n",
" px_logit = Dense(h2, 784, 'logit', reuse=reuse)\n",
" return px_logit"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"tf.reset_default_graph()\n",
"x = Placeholder((None, 784), 'x')\n",
"\n",
"# binarize data and create a y \"placeholder\"\n",
"with tf.name_scope('x_binarized'):\n",
" xb = tf.cast(tf.greater(x, tf.random_uniform(tf.shape(x), 0, 1)), tf.float32)\n",
"with tf.name_scope('y_'):\n",
" y_ = tf.fill(tf.pack([tf.shape(x)[0], 10]), 0.0)\n",
"\n",
"# propose distribution over y \n",
"qy_logit, qy = qy_graph(xb)\n",
"\n",
"# for each proposed y, infer z and reconstruct x\n",
"z, zm, zv, px_logit = [[None] * 10 for i in xrange(4)]\n",
"for i in xrange(10):\n",
" with tf.name_scope('graphs/hot_at{:d}'.format(i)):\n",
" y = tf.add(y_, Constant(np.eye(10)[i], name='hot_at_{:d}'.format(i)))\n",
" z[i], zm[i], zv[i] = qz_graph(xb, y)\n",
" px_logit[i] = px_graph(z[i], y)\n",
"\n",
"# Aggressive name scoping for pretty graph visualization :P\n",
"with tf.name_scope('loss'):\n",
" with tf.name_scope('neg_entropy'):\n",
" nent = -cross_entropy_with_logits(qy_logit, qy)\n",
" losses = [None] * 10\n",
" for i in xrange(10):\n",
" with tf.name_scope('loss_at{:d}'.format(i)):\n",
" losses[i] = labeled_loss(xb, px_logit[i], z[i], zm[i], zv[i], Constant(0), Constant(1))\n",
" with tf.name_scope('final_loss'):\n",
" loss = tf.add_n([nent] + [qy[:, i] * losses[i] for i in xrange(10)])"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"show_graph(tf.get_default_graph().as_graph_def())"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"train_step = tf.train.AdamOptimizer().minimize(loss)\n",
"sess = tf.Session()\n",
"sess.run(tf.initialize_all_variables())\n",
"# sess.run(tf.global_variables_initializer()) # Change initialization protocol depending on tensorflow version"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" tr_ent, tr_loss, t_ent, t_loss, t_acc, epoch\n",
" 2.29e+00, 1.30e+02, 2.29e+00, 1.29e+02, 2.69e-01, 1\n",
" tr_ent, tr_loss, t_ent, t_loss, t_acc, epoch\n",
" 2.30e+00, 1.13e+02, 2.30e+00, 1.13e+02, 2.92e-01, 2\n"
]
}
],
"source": [
"sess_info = (sess, qy_logit, nent, loss, train_step)\n",
"train(None, mnist, sess_info, epochs=2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Modified M2 (Gaussian mixture hidden layer)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"With some thought, we can modified M2 to implicitly be a latent variable model with a Gaussian mixture stochastic layer. Training is a bit finnicky, so you might have to run it a few times before it works properly."
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"method = 'relu'\n",
"\n",
"def custom_layer(zy, reuse):\n",
" # Here are 3 choices for what to do with zy\n",
" # I leave this as hyperparameter\n",
" if method == 'identity':\n",
" return zy\n",
" elif method == 'relu':\n",
" return tf.nn.relu(zy)\n",
" elif method == 'layer':\n",
" return Dense(zy, 512, 'layer1', tf.nn.relu, reuse=reuse)\n",
" else:\n",
" raise Exception('Undefined method')\n",
"\n",
"def px_graph(z, y):\n",
" reuse = len(tf.get_collection(tf.GraphKeys.VARIABLES, scope='px')) > 0\n",
" # -- transform z to be a sample from one of the Gaussian mixture components\n",
" with tf.variable_scope('z_transform'):\n",
" zm = Dense(y, 64, 'zm', reuse=reuse)\n",
" zv = Dense(y, 64, 'zv', tf.nn.softplus, reuse=reuse)\n",
" # -- p(x)\n",
" with tf.variable_scope('px'):\n",
" with tf.name_scope('layer1'):\n",
" zy = zm + tf.sqrt(zv) * z\n",
" h1 = custom_layer(zy, reuse)\n",
" h2 = Dense(h1, 512, 'layer2', tf.nn.relu, reuse=reuse)\n",
" px_logit = Dense(h2, 784, 'logit', reuse=reuse)\n",
" return px_logit"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"tf.reset_default_graph()\n",
"x = Placeholder((None, 784), 'x')\n",
"\n",
"# binarize data and create a y \"placeholder\"\n",
"with tf.name_scope('x_binarized'):\n",
" xb = tf.cast(tf.greater(x, tf.random_uniform(tf.shape(x), 0, 1)), tf.float32)\n",
"with tf.name_scope('y_'):\n",
" y_ = tf.fill(tf.pack([tf.shape(x)[0], 10]), 0.0)\n",
"\n",
"# propose distribution over y \n",
"qy_logit, qy = qy_graph(xb)\n",
"\n",
"# for each proposed y, infer z and reconstruct x\n",
"z, zm, zv, px_logit = [[None] * 10 for i in xrange(4)]\n",
"for i in xrange(10):\n",
" with tf.name_scope('graphs/hot_at{:d}'.format(i)):\n",
" y = tf.add(y_, Constant(np.eye(10)[i], name='hot_at_{:d}'.format(i)))\n",
" z[i], zm[i], zv[i] = qz_graph(xb, y)\n",
" px_logit[i] = px_graph(z[i], y)\n",
"\n",
"# Aggressive name scoping for pretty graph visualization :P\n",
"with tf.name_scope('loss'):\n",
" with tf.name_scope('neg_entropy'):\n",
" nent = -cross_entropy_with_logits(qy_logit, qy)\n",
" losses = [None] * 10\n",
" for i in xrange(10):\n",
" with tf.name_scope('loss_at{:d}'.format(i)):\n",
" losses[i] = labeled_loss(xb, px_logit[i], z[i], zm[i], zv[i], Constant(0), Constant(1))\n",
" with tf.name_scope('final_loss'):\n",
" loss = tf.add_n([nent] + [qy[:, i] * losses[i] for i in xrange(10)])"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"show_graph(tf.get_default_graph().as_graph_def())"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"train_step = tf.train.AdamOptimizer().minimize(loss)\n",
"sess = tf.Session()\n",
"sess.run(tf.initialize_all_variables())\n",
"# sess.run(tf.global_variables_initializer()) # Change initialization protocol depending on tensorflow version"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" tr_ent, tr_loss, t_ent, t_loss, t_acc, epoch\n",
" 6.38e-01, 1.42e+02, 6.31e-01, 1.40e+02, 4.53e-01, 1\n",
" tr_ent, tr_loss, t_ent, t_loss, t_acc, epoch\n",
" 4.43e-01, 1.26e+02, 4.30e-01, 1.25e+02, 4.82e-01, 2\n"
]
}
],
"source": [
"sess_info = (sess, qy_logit, nent, loss, train_step)\n",
"train(None, mnist, sess_info, epochs=2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Explicit Gaussian Mixture VAE"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Why be implicit when we can explicitly train a Gaussian Mixture VAE? So here's code for doing that. Unlike the modified M2, GMVAE is very stable. "
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def px_graph(z, y):\n",
" reuse = len(tf.get_collection(tf.GraphKeys.VARIABLES, scope='px')) > 0\n",
" # -- p(z)\n",
" with tf.variable_scope('pz'):\n",
" zm = Dense(y, 64, 'zm', reuse=reuse)\n",
" zv = Dense(y, 64, 'zv', tf.nn.softplus, reuse=reuse)\n",
" # -- p(x)\n",
" with tf.variable_scope('px'):\n",
" h1 = Dense(z, 512, 'layer1', tf.nn.relu, reuse=reuse)\n",
" h2 = Dense(h1, 512, 'layer2', tf.nn.relu, reuse=reuse)\n",
" px_logit = Dense(h2, 784, 'logit', reuse=reuse)\n",
" return zm, zv, px_logit"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"tf.reset_default_graph()\n",
"x = Placeholder((None, 784), 'x')\n",
"\n",
"# binarize data and create a y \"placeholder\"\n",
"with tf.name_scope('x_binarized'):\n",
" xb = tf.cast(tf.greater(x, tf.random_uniform(tf.shape(x), 0, 1)), tf.float32)\n",
"with tf.name_scope('y_'):\n",
" y_ = tf.fill(tf.pack([tf.shape(x)[0], 10]), 0.0)\n",
"\n",
"# propose distribution over y\n",
"qy_logit, qy = qy_graph(xb)\n",
"\n",
"# for each proposed y, infer z and reconstruct x\n",
"z, zm, zv, zm_prior, zv_prior, px_logit = [[None] * 10 for i in xrange(6)]\n",
"for i in xrange(10):\n",
" with tf.name_scope('graphs/hot_at{:d}'.format(i)):\n",
" y = tf.add(y_, Constant(np.eye(10)[i], name='hot_at_{:d}'.format(i)))\n",
" z[i], zm[i], zv[i] = qz_graph(xb, y)\n",
" zm_prior[i], zv_prior[i], px_logit[i] = px_graph(z[i], y)\n",
"\n",
"# Aggressive name scoping for pretty graph visualization :P\n",
"with tf.name_scope('loss'):\n",
" with tf.name_scope('neg_entropy'):\n",
" nent = -cross_entropy_with_logits(qy_logit, qy)\n",
" losses = [None] * 10\n",
" for i in xrange(10):\n",
" with tf.name_scope('loss_at{:d}'.format(i)):\n",
" losses[i] = labeled_loss(xb, px_logit[i], z[i], zm[i], zv[i], zm_prior[i], zv_prior[i])\n",
" with tf.name_scope('final_loss'):\n",
" loss = tf.add_n([nent] + [qy[:, i] * losses[i] for i in xrange(10)])"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"\n",
" \n",
" "
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"show_graph(tf.get_default_graph().as_graph_def())"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"train_step = tf.train.AdamOptimizer().minimize(loss)\n",
"sess = tf.Session()\n",
"sess.run(tf.initialize_all_variables())\n",
"# sess.run(tf.global_variables_initializer()) # Change initialization protocol depending on tensorflow version"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" tr_ent, tr_loss, t_ent, t_loss, t_acc, epoch\n",
" 1.34e+00, 1.29e+02, 1.33e+00, 1.29e+02, 4.93e-01, 1\n",
" tr_ent, tr_loss, t_ent, t_loss, t_acc, epoch\n",
" 1.10e+00, 1.13e+02, 1.09e+00, 1.12e+02, 5.35e-01, 2\n"
]
}
],
"source": [
"sess_info = (sess, qy_logit, nent, loss, train_step)\n",
"train(None, mnist, sess_info, epochs=2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Evaluation"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"source": [
"import glob\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"import os.path\n",
"%pylab inline"
]
},
{
"cell_type": "code",
"execution_count": 236,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"def prune_rows(arr, k):\n",
" delete_rows = []\n",
" for i in xrange(len(arr)):\n",
" if np.isnan(arr[i, k]):\n",
" delete_rows += [i]\n",
" return np.delete(arr, delete_rows, axis=0)[:, :k]\n",
"\n",
"def plot_from_csv(glob_str, axes, color_idx):\n",
" dfs = [pd.read_csv(f) for f in glob.glob('logs/{:s}.log*'.format(glob_str))]\n",
" df = (pd.concat(dfs, axis=1, keys=range(len(dfs)))\n",
" .swaplevel(0, 1, axis=1) \n",
" .sortlevel(axis=1))\n",
" df = df[:201].apply(pd.to_numeric) \n",
" k = 200\n",
" ax1, ax2, ax3 = axes\n",
"\n",
" sns.tsplot(data=prune_rows(df['{:>10s}'.format('t_ent')].values.T, k), \n",
" ax=ax1, \n",
" condition=glob_str,\n",
" color=sns.color_palette()[color_idx])\n",
" ax1.set_ylim(0,3)\n",
" ax1.set_xlabel('Epochs')\n",
" ax1.set_ylabel('Conditional Entropy')\n",
"\n",
" sns.tsplot(data=prune_rows(df['{:>10s}'.format('t_loss')].values.T, k), \n",
" ax=ax2, \n",
" condition=glob_str,\n",
" color=sns.color_palette()[color_idx])\n",
" ax2.set_xlabel('Epochs')\n",
" ax2.set_ylabel('Loss')\n",
"\n",
" sns.tsplot(data=prune_rows(df['{:>10s}'.format('t_acc')].values.T, k), \n",
" ax=ax3, \n",
" condition=glob_str,\n",
" color=sns.color_palette()[color_idx])\n",
" ax3.set_xlabel('Epochs')\n",
" ax3.set_ylabel('Accuracy')"
]
},
{
"cell_type": "code",
"execution_count": 243,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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Y7jl8pGCqNwtbBWi2PJ9IknWYkqQNp9dE2wokSVpdmXkX8OfjjuNETU0em0Dq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\nAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, axes = plt.subplots(1,3, figsize=(20, 5))\n",
"plot_from_csv('m2', axes, 0)\n",
"plt.savefig('images/m2.png')"
]
},
{
"cell_type": "code",
"execution_count": 244,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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LOTnwH1+ibH/Iz+723QSqD09ts8NBhtMpgsbx5zVayHrT/TieQ0ukCShNAfzl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\nROSCVEASEREREREREZEL+v8BpKoJsHl792UAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, axes = plt.subplots(1,3, figsize=(20, 5))\n",
"plot_from_csv('modified_m2_method=relu', axes, 1)\n",
"plt.savefig('images/modified_m2_method=relu.png')"
]
},
{
"cell_type": "code",
"execution_count": 245,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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Jdd2rgI8A21zXfQqIgd8D1gOx53lfBD7kuu6vNtf5wIc8z9Nv/SIicnJUgSQi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\nQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, axes = plt.subplots(1,3, figsize=(20, 5))\n",
"plot_from_csv('gmvae', axes, 2)\n",
"plt.savefig('images/gmvae.png')"
]
},
{
"cell_type": "code",
"execution_count": 246,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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CU1PTyBPnvcve/yedhmGMOa9h7I58B8Hu+q9e/UfuuON2vv71b+31ZPVgylQUhW9/+46R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\nhyLPCoOpQNcAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, axes = plt.subplots(1,3, figsize=(20, 5))\n",
"plot_from_csv('m2', axes, 0)\n",
"plot_from_csv('modified_m2_method=relu', axes, 1)\n",
"plot_from_csv('gmvae', axes, 2)\n",
"plt.savefig('images/combined.png')"
]
}
],
"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": "2.7.5"
}
},
"nbformat": 4,
"nbformat_minor": 0
}