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March 28, 2017 00:51
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Batchnorm CNN Test
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"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": [ | |
"import tensorflow as tf\n", | |
"import matplotlib.pyplot as plt\n", | |
"from tensorflow.examples.tutorials.mnist import input_data\n", | |
"%matplotlib inline\n", | |
"\n", | |
"mnist = input_data.read_data_sets(\"MNIST_data/\", one_hot=True)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"class Model:\n", | |
" def __init__(self, name, input_dim, output_dim, hidden_dims=[32, 32], use_batchnorm=True, activation_fn=tf.nn.relu, optimizer=tf.train.AdamOptimizer, lr=0.01):\n", | |
" with tf.variable_scope(name):\n", | |
" self.X = tf.placeholder(tf.float32, [None, input_dim], name='X')\n", | |
" self.y = tf.placeholder(tf.float32, [None, output_dim], name='y')\n", | |
" self.mode = tf.placeholder(tf.bool, name='train_mode')\n", | |
"\n", | |
" net = tf.reshape(self.X, [-1, 28, 28, 1])\n", | |
"\n", | |
" for i, h_dim in enumerate(hidden_dims):\n", | |
" with tf.variable_scope(f'layer{i}'):\n", | |
" net = tf.layers.conv2d(net, h_dim, (3, 3), padding='SAME')\n", | |
" if use_batchnorm:\n", | |
" net = tf.layers.batch_normalization(net, training=self.mode)\n", | |
" net = activation_fn(net)\n", | |
" net = tf.layers.max_pooling2d(net, 2, 2)\n", | |
" \n", | |
" net = tf.contrib.layers.flatten(net)\n", | |
" net = tf.layers.dense(net, output_dim)\n", | |
" \n", | |
" self.loss = tf.nn.softmax_cross_entropy_with_logits(logits=net, labels=self.y)\n", | |
" self.loss = tf.reduce_mean(self.loss, name='loss') \n", | |
" \n", | |
" update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS, scope=name)\n", | |
" with tf.control_dependencies(update_ops):\n", | |
" \n", | |
" self.train_op = optimizer(lr).minimize(self.loss)\n", | |
"\n", | |
" softmax = tf.nn.softmax(net, name='softmax')\n", | |
" self.accuracy = tf.equal(tf.argmax(softmax, 1), tf.argmax(self.y, 1))\n", | |
" self.accuracy = tf.reduce_mean(tf.cast(self.accuracy, tf.float32))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"class Solver:\n", | |
" def __init__(self, sess, model):\n", | |
" self.model = model\n", | |
" self.sess = sess\n", | |
" \n", | |
" def train(self, X, y):\n", | |
" feed = {\n", | |
" self.model.X: X,\n", | |
" self.model.y: y,\n", | |
" self.model.mode: True\n", | |
" }\n", | |
" train_op = self.model.train_op\n", | |
" loss = self.model.loss\n", | |
" \n", | |
" return self.sess.run([train_op, loss], feed_dict=feed)\n", | |
" \n", | |
" def evaluate(self, X, y, batch_size=None):\n", | |
" if batch_size:\n", | |
" N = X.shape[0]\n", | |
" \n", | |
" total_loss = 0\n", | |
" total_acc = 0\n", | |
" \n", | |
" for i in range(0, N, batch_size):\n", | |
" X_batch = X[i:i + batch_size]\n", | |
" y_batch = y[i:i + batch_size]\n", | |
" \n", | |
" feed = {\n", | |
" self.model.X: X_batch,\n", | |
" self.model.y: y_batch,\n", | |
" self.model.mode: False\n", | |
" }\n", | |
" \n", | |
" loss = self.model.loss\n", | |
" accuracy = self.model.accuracy\n", | |
" \n", | |
" step_loss, step_acc = self.sess.run([loss, accuracy], feed_dict=feed)\n", | |
" \n", | |
" total_loss += step_loss * X_batch.shape[0]\n", | |
" total_acc += step_acc * X_batch.shape[0]\n", | |
" \n", | |
" total_loss /= N\n", | |
" total_acc /= N\n", | |
" \n", | |
" return total_loss, total_acc\n", | |
" \n", | |
" \n", | |
" else:\n", | |
" feed = {\n", | |
" self.model.X: X,\n", | |
" self.model.y: y,\n", | |
" self.model.mode: False\n", | |
" }\n", | |
" loss = self.model.loss\n", | |
" accuracy = self.model.accuracy\n", | |
"\n", | |
" return self.sess.run([loss, accuracy], feed_dict=feed)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"(55000, 784)" | |
] | |
}, | |
"execution_count": 4, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"mnist.train.images.shape" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"input_dim = 784\n", | |
"output_dim = 10\n", | |
"N = 55000\n", | |
"\n", | |
"tf.reset_default_graph()\n", | |
"\n", | |
"bn = Model('batchnorm', input_dim, output_dim, use_batchnorm=True)\n", | |
"nn = Model('no_norm', input_dim, output_dim, use_batchnorm=False)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"sess = tf.InteractiveSession()\n", | |
"init = tf.global_variables_initializer()\n", | |
"sess.run(init)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"bn_solver = Solver(sess, bn)\n", | |
"nn_solver = Solver(sess, nn)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 8, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"[Epoch 0-TRAIN] BN Loss(Acc): 0.08548(97.32%) NN Loss(Acc): 0.09188(97.21%)\n", | |
"[Epoch 0-VALID] BN Loss(Acc): 0.08608(97.56%) NN Loss(Acc): 0.10496(97.04%)\n", | |
"\n", | |
"\n", | |
"[Epoch 1-TRAIN] BN Loss(Acc): 0.04114(98.67%) NN Loss(Acc): 0.05593(98.20%)\n", | |
"[Epoch 1-VALID] BN Loss(Acc): 0.04659(98.60%) NN Loss(Acc): 0.06963(97.84%)\n", | |
"\n", | |
"\n", | |
"[Epoch 2-TRAIN] BN Loss(Acc): 0.03511(98.87%) NN Loss(Acc): 0.04136(98.67%)\n", | |
"[Epoch 2-VALID] BN Loss(Acc): 0.04866(98.56%) NN Loss(Acc): 0.06753(98.22%)\n", | |
"\n", | |
"\n", | |
"[Epoch 3-TRAIN] BN Loss(Acc): 0.02665(99.15%) NN Loss(Acc): 0.04258(98.63%)\n", | |
"[Epoch 3-VALID] BN Loss(Acc): 0.04459(98.82%) NN Loss(Acc): 0.07560(97.86%)\n", | |
"\n", | |
"\n", | |
"[Epoch 4-TRAIN] BN Loss(Acc): 0.02808(99.08%) NN Loss(Acc): 0.03282(99.02%)\n", | |
"[Epoch 4-VALID] BN Loss(Acc): 0.04979(98.58%) NN Loss(Acc): 0.07143(98.34%)\n", | |
"\n", | |
"\n", | |
"[Epoch 5-TRAIN] BN Loss(Acc): 0.02309(99.21%) NN Loss(Acc): 0.08187(98.23%)\n", | |
"[Epoch 5-VALID] BN Loss(Acc): 0.04471(98.86%) NN Loss(Acc): 0.12717(97.86%)\n", | |
"\n", | |
"\n", | |
"[Epoch 6-TRAIN] BN Loss(Acc): 0.01989(99.35%) NN Loss(Acc): 0.04511(98.78%)\n", | |
"[Epoch 6-VALID] BN Loss(Acc): 0.04448(99.02%) NN Loss(Acc): 0.09272(98.10%)\n", | |
"\n", | |
"\n", | |
"[Epoch 7-TRAIN] BN Loss(Acc): 0.01767(99.41%) NN Loss(Acc): 0.04786(98.77%)\n", | |
"[Epoch 7-VALID] BN Loss(Acc): 0.04919(98.96%) NN Loss(Acc): 0.12133(97.82%)\n", | |
"\n", | |
"\n", | |
"[Epoch 8-TRAIN] BN Loss(Acc): 0.01996(99.34%) NN Loss(Acc): 0.04185(98.86%)\n", | |
"[Epoch 8-VALID] BN Loss(Acc): 0.05388(98.76%) NN Loss(Acc): 0.09766(98.26%)\n", | |
"\n", | |
"\n", | |
"[Epoch 9-TRAIN] BN Loss(Acc): 0.01746(99.41%) NN Loss(Acc): 0.03421(99.03%)\n", | |
"[Epoch 9-VALID] BN Loss(Acc): 0.05170(98.68%) NN Loss(Acc): 0.11054(97.92%)\n", | |
"\n", | |
"\n", | |
"[Epoch 10-TRAIN] BN Loss(Acc): 0.02179(99.37%) NN Loss(Acc): 0.03082(99.08%)\n", | |
"[Epoch 10-VALID] BN Loss(Acc): 0.07305(98.68%) NN Loss(Acc): 0.09913(98.20%)\n", | |
"\n", | |
"\n", | |
"[Epoch 11-TRAIN] BN Loss(Acc): 0.02882(99.19%) NN Loss(Acc): 0.04855(98.73%)\n", | |
"[Epoch 11-VALID] BN Loss(Acc): 0.07514(98.54%) NN Loss(Acc): 0.11882(97.86%)\n", | |
"\n", | |
"\n", | |
"[Epoch 12-TRAIN] BN Loss(Acc): 0.02072(99.41%) NN Loss(Acc): 0.02747(99.29%)\n", | |
"[Epoch 12-VALID] BN Loss(Acc): 0.07027(98.64%) NN Loss(Acc): 0.12196(98.30%)\n", | |
"\n", | |
"\n", | |
"[Epoch 13-TRAIN] BN Loss(Acc): 0.00957(99.67%) NN Loss(Acc): 0.05540(98.93%)\n", | |
"[Epoch 13-VALID] BN Loss(Acc): 0.06248(98.96%) NN Loss(Acc): 0.14944(98.12%)\n", | |
"\n", | |
"\n", | |
"[Epoch 14-TRAIN] BN Loss(Acc): 0.00928(99.68%) NN Loss(Acc): 0.05912(98.75%)\n", | |
"[Epoch 14-VALID] BN Loss(Acc): 0.06524(98.90%) NN Loss(Acc): 0.18146(97.56%)\n", | |
"\n", | |
"\n", | |
"[Epoch 15-TRAIN] BN Loss(Acc): 0.01497(99.53%) NN Loss(Acc): 0.02912(99.22%)\n", | |
"[Epoch 15-VALID] BN Loss(Acc): 0.05966(98.96%) NN Loss(Acc): 0.15760(98.28%)\n", | |
"\n", | |
"\n", | |
"[Epoch 16-TRAIN] BN Loss(Acc): 0.01464(99.56%) NN Loss(Acc): 0.02067(99.47%)\n", | |
"[Epoch 16-VALID] BN Loss(Acc): 0.07919(98.86%) NN Loss(Acc): 0.15509(98.04%)\n", | |
"\n", | |
"\n", | |
"[Epoch 17-TRAIN] BN Loss(Acc): 0.00778(99.76%) NN Loss(Acc): 0.02590(99.47%)\n", | |
"[Epoch 17-VALID] BN Loss(Acc): 0.06592(98.98%) NN Loss(Acc): 0.16439(98.42%)\n", | |
"\n", | |
"\n", | |
"[Epoch 18-TRAIN] BN Loss(Acc): 0.01925(99.47%) NN Loss(Acc): 0.03119(99.42%)\n", | |
"[Epoch 18-VALID] BN Loss(Acc): 0.07753(98.92%) NN Loss(Acc): 0.16988(98.46%)\n", | |
"\n", | |
"\n", | |
"[Epoch 19-TRAIN] BN Loss(Acc): 0.00945(99.67%) NN Loss(Acc): 0.04485(99.32%)\n", | |
"[Epoch 19-VALID] BN Loss(Acc): 0.07738(98.86%) NN Loss(Acc): 0.19958(98.42%)\n", | |
"\n", | |
"\n" | |
] | |
} | |
], | |
"source": [ | |
"epoch_n = 20\n", | |
"batch_size = 32\n", | |
"\n", | |
"train_losses = []\n", | |
"train_accs = []\n", | |
"\n", | |
"valid_losses = []\n", | |
"valid_accs = []\n", | |
"\n", | |
"for epoch in range(epoch_n):\n", | |
" for _ in range(N//batch_size):\n", | |
" X_batch, y_batch = mnist.train.next_batch(batch_size)\n", | |
" \n", | |
" _, bn_loss = bn_solver.train(X_batch, y_batch)\n", | |
" _, nn_loss = nn_solver.train(X_batch, y_batch) \n", | |
" \n", | |
" b_loss, b_acc = bn_solver.evaluate(mnist.train.images, mnist.train.labels, batch_size)\n", | |
" n_loss, n_acc = nn_solver.evaluate(mnist.train.images, mnist.train.labels, batch_size) \n", | |
" print(f'[Epoch {epoch}-TRAIN] BN Loss(Acc): {b_loss:.5f}({b_acc:.2%}) NN Loss(Acc): {n_loss:.5f}({n_acc:.2%})')\n", | |
" train_losses.append([b_loss, n_loss])\n", | |
" train_accs.append([b_acc, n_acc])\n", | |
" \n", | |
" b_loss, b_acc = bn_solver.evaluate(mnist.validation.images, mnist.validation.labels)\n", | |
" n_loss, n_acc = nn_solver.evaluate(mnist.validation.images, mnist.validation.labels) \n", | |
" print(f'[Epoch {epoch}-VALID] BN Loss(Acc): {b_loss:.5f}({b_acc:.2%}) NN Loss(Acc): {n_loss:.5f}({n_acc:.2%})')\n", | |
" print()\n", | |
" print()\n", | |
" \n", | |
" valid_losses.append([b_loss, n_loss])\n", | |
" valid_accs.append([b_acc, n_acc])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 9, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"[0.066308171, 0.98840016]" | |
] | |
}, | |
"execution_count": 9, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"bn_solver.evaluate(mnist.test.images, mnist.test.labels)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"[0.15543894, 0.9859001]" | |
] | |
}, | |
"execution_count": 10, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"nn_solver.evaluate(mnist.test.images, mnist.test.labels) " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 11, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"def plot_compare(loss_list: list, xlim=None) -> None:\n", | |
" \n", | |
" bn = [i[0] for i in loss_list]\n", | |
" nn = [i[1] for i in loss_list]\n", | |
" \n", | |
" plt.figure(figsize=(15, 10))\n", | |
" plt.plot(bn, label='use_batchnorm')\n", | |
" plt.plot(nn, label='no_batchnorm')\n", | |
" if xlim:\n", | |
" plt.xlim(xlim)\n", | |
" plt.legend()\n", | |
" plt.grid('on')\n", | |
" plt.show()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 12, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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sm6JCV7nMHNlTBLcLN86sIUrUWHdXPsQAAABIBBK6JMj1ejS/vEi7Wqeo0BXM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\nQmCC\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x7f1d2c80db70>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_compare(train_losses)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 13, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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u3snANrXp2Szc6jhSyjAMbm5Rgx7NqrNk0UK6dG5vdSS5CMOvbMDibYd4+uu1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\naxwvKOKOL1ax81Aun9+RULYLJR3Pgq3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PchZA7kLIWQgl+ZwOsDQeRoXoCkf2PCjJ97/p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\n0JMkSZKkLmPQkyRJkqQu8/8BJKCu0JpxF2cAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x7f1d2a7a8940>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_compare(train_accs)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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r4bkr4P1/wyEnJJ1IFRFF8eWU79wJ7/2L/UIedD8jvqyydZ+k06kcLHSSJEmZ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\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x7f1d2a6987b8>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_compare(valid_losses)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 15, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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iozt580ov/Wj/vFOmJgqd/GrTya82FwuLWBt7kiXR6Uxfl8jHfybSya9sddGe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R/7RlblsdWf4dHMXDi+0osb4fo7YPI52bqBp7Lnceh9Cq52FLChzr8ym6/ZTCmh+5+BYy4SL5WN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\naLf0egAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x7f1d2a584080>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"plot_compare(valid_accs)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.0" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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