{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "kernelspec": { "name": "python3", "display_name": "Python 3" }, "colab": { "name": "tut10_gans.ipynb", "provenance": [], "collapsed_sections": [] }, "accelerator": "GPU" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "-Zq1dWoIup0n", "colab_type": "text" }, "source": [ "# CSC413/2516 Winter 2020\n", "\n", "# Generative Adversarial Network (GAN) Tutorial\n", "\n", "In this tutorial we'll see how to code a simple Generative Adversarial Network (GAN) to generate handwritten digits that resemble those found in the MNSIT dataset.\n", "\n", "\n", "## Resources\n", "\n", "The following are great resources for learning more about GANs.\n", "\n", "1. [Generative Adversarial Nets (Goodfellow et al.)](https://arxiv.org/pdf/1406.2661.pdf) -- the paper that introduced GANs\n", "2. [An Introduction to GANs in Tensorflow](http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow/)\n", "3. [Generative Models Blog Post from OpenAI](https://blog.openai.com/generative-models/)\n", "\n", "Some slides are located [here](https://docs.google.com/presentation/d/1ZNEXW-Llyxb9uAVRGlhfvJKDHTXp_pobs99SAH4ywpU/edit?usp=sharing)" ] }, { "cell_type": "code", "metadata": { "id": "NHNPF0RIup0p", "colab_type": "code", "colab": {} }, "source": [ "import itertools\n", "import math\n", "import time\n", "import matplotlib.pyplot as plt\n", "from IPython import display\n", "import numpy.random as npr\n", "\n", "# We could use numpy for most things, except computing the gradient\n", "#import numpy as np\n", "import jax.numpy as np\n", "from jax import grad\n", "\n", "# We could also swap jax for autograd\n", "#import autograd.numpy as np\n", "#from autograd import grad\n", "\n", "#%matplotlib inline" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "odyXoHXsup0s", "colab_type": "text" }, "source": [ "## Load Dataset" ] }, { "cell_type": "code", "metadata": { "id": "9RLNGvRdup0t", "colab_type": "code", "outputId": "564f0024-0b7d-4d65-b588-fe2bdf8f5992", "colab": { "base_uri": "https://localhost:8080/", "height": 525 } }, "source": [ "def load_mnist():\n", " from tensorflow.examples.tutorials.mnist import input_data\n", "\n", " mnist = input_data.read_data_sets(\"MNIST_data/\", one_hot=False)\n", "\n", " X_train = np.vstack([img.reshape(-1,) for img in mnist.train.images])\n", " y_train = mnist.train.labels\n", "\n", " X_test = np.vstack([img.reshape(-1,) for img in mnist.test.images])\n", " y_test = mnist.test.labels\n", "\n", " del mnist\n", " return X_train, y_train.reshape(-1, 1), X_test, y_test.reshape(-1, 1)\n", "\n", "train_images, train_labels, test_images, test_labels = load_mnist()" ], "execution_count": 3, "outputs": [ { "output_type": "display_data", "data": { "text/html": [ "

\n", "The default version of TensorFlow in Colab will soon switch to TensorFlow 2.x.
\n", "We recommend you upgrade now \n", "or ensure your notebook will continue to use TensorFlow 1.x via the %tensorflow_version 1.x magic:\n", "more info.

\n" ], "text/plain": [ "" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ "WARNING:tensorflow:From :4: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.\n", "WARNING:tensorflow:From /tensorflow-1.15.0/python3.6/tensorflow_core/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please write your own downloading logic.\n", "WARNING:tensorflow:From /tensorflow-1.15.0/python3.6/tensorflow_core/contrib/learn/python/learn/datasets/base.py:252: _internal_retry..wrap..wrapped_fn (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use urllib or similar directly.\n", "Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.\n", "WARNING:tensorflow:From /tensorflow-1.15.0/python3.6/tensorflow_core/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use tf.data to implement this functionality.\n", "Extracting MNIST_data/train-images-idx3-ubyte.gz\n", "Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.\n", "WARNING:tensorflow:From /tensorflow-1.15.0/python3.6/tensorflow_core/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use tf.data to implement this functionality.\n", "Extracting MNIST_data/train-labels-idx1-ubyte.gz\n", "Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.\n", "Extracting MNIST_data/t10k-images-idx3-ubyte.gz\n", "Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.\n", "Extracting MNIST_data/t10k-labels-idx1-ubyte.gz\n", "WARNING:tensorflow:From /tensorflow-1.15.0/python3.6/tensorflow_core/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n", "Instructions for updating:\n", "Please use alternatives such as official/mnist/dataset.py from tensorflow/models.\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "xHxxc2kQup05", "colab_type": "text" }, "source": [ "## Utility Functions" ] }, { "cell_type": "code", "metadata": { "id": "53NMjlUZup0-", "colab_type": "code", "colab": {} }, "source": [ "def init_bias(scale, output_size):\n", " return scale * npr.randn(output_size)\n", "\n", "def init_weight(scale, input_size, output_size):\n", " return scale * npr.randn(input_size, output_size)\n", "\n", "def relu(x):\n", " return np.maximum(0, x)\n", "\n", "def sigmoid(x):\n", " return 1. / (1. + np.exp(-x))\n", "\n", "def batch_normalize(activations):\n", " mbmean = np.mean(activations, axis=0, keepdims=True)\n", " return (activations - mbmean) / (np.std(activations, axis=0, keepdims=True) + 1)\n", "\n", "def binary_cross_entropy(outputs, targets):\n", " # loss(o,t)=−1/n∑i(t[i]∗log(o[i])+(1−t[i])∗log(1−o[i]))\n", " \n", " loss = np.sum(-(targets * np.log(outputs + 1e-6)) - ((1 - targets) * np.log(1 - outputs + 1e-6)))\n", " return loss / outputs.shape[0]" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "abbHftc7GQRz", "colab_type": "text" }, "source": [ "# Define the Generator" ] }, { "cell_type": "code", "metadata": { "id": "1qE8jdP4up1A", "colab_type": "code", "colab": {} }, "source": [ "def init_G_params(noise_size, image_size, scale=0.001):\n", " return {\n", " 'G_fc1_W': init_weight(scale, noise_size, 400),\n", " 'G_fc1_b': init_bias(scale, 400),\n", " #'G_fc2_W': init_weight(scale, 200, 400),\n", " #'G_fc2_b': init_bias(scale, 400),\n", " #'G_fc3_W': init_weight(scale, 400, image_size),\n", " 'G_fc3_W': init_weight(scale, 400, image_size),\n", " 'G_fc3_b': init_bias(scale, image_size)\n", " }\n", "\n", "def G(params, z):\n", " \"\"\"Generates a batch of images from random noise vectors z.\n", " \n", " Input: A batch of noise samples, arranged in a matrix of dimension BATCH_SIZE x NOISE_DIM\n", " Output: A batch of generated images, arranged in a matrix of dimension BATCH_SIZE x IMAGE_SIZE\n", " \"\"\"\n", " G_params = params['G_params']\n", " x = np.dot(z, G_params['G_fc1_W']) + G_params['G_fc1_b']\n", " #x = batch_normalize(x)\n", " x = relu(x)\n", " \n", " #x = np.dot(x, G_params['G_fc2_W']) + G_params['G_fc2_b']\n", " #x = batch_normalize(x)\n", " #x = relu(x)\n", " \n", " output = np.dot(x, G_params['G_fc3_W']) + G_params['G_fc3_b']\n", " return output" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "hTbUubZWGTZJ", "colab_type": "text" }, "source": [ "## Define the Discriminator" ] }, { "cell_type": "code", "metadata": { "id": "r7oPgYPZup1D", "colab_type": "code", "colab": {} }, "source": [ "def init_D_params(image_size, output_size, scale=0.001):\n", " return {\n", " 'D_fc1_W': init_weight(scale, image_size, 400),\n", " 'D_fc1_b': init_bias(scale, 400),\n", " #'D_fc2_W': init_weight(scale, 400, 200),\n", " #'D_fc2_b': init_bias(scale, 200),\n", " #'D_fc3_W': init_weight(scale, 200, output_size),\n", " 'D_fc3_W': init_weight(scale, 400, output_size),\n", " 'D_fc3_b': init_bias(scale, output_size)\n", " }\n", "\n", "def D(params, x):\n", " \"\"\"Takes a batch of images x and returns a batch of scores that indicate how confident the discriminator\n", " is that the each image is real.\n", " \n", " Input: A batch of images x, in a matrix of dimension BATCH_SIZE x IMAGE_SIZE\n", " Output: A batch of real/fake scores, in a matrix of dimension BATCH_SIZE x 1\n", " \"\"\"\n", " D_params = params['D_params']\n", " y = np.dot(x, D_params['D_fc1_W']) + D_params['D_fc1_b']\n", " #y = batch_normalize(y)\n", " y = relu(y)\n", " \n", " #y = np.dot(y, D_params['D_fc2_W']) + D_params['D_fc2_b']\n", " #y = batch_normalize(y)\n", " #y = relu(y)\n", " \n", " output = np.dot(y, D_params['D_fc3_W']) + D_params['D_fc3_b']\n", " output = sigmoid(output)\n", " return output" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "0YBod7XBGWHp", "colab_type": "text" }, "source": [ "## Define the loss functions and gradient functions." ] }, { "cell_type": "code", "metadata": { "id": "agXA-Jivup1I", "colab_type": "code", "colab": {} }, "source": [ "def D_loss(params, real_images, fake_images):\n", " D_real_out = D(params, real_images)\n", " D_fake_out = D(params, fake_images)\n", " \n", " D_real_loss = binary_cross_entropy(D_real_out, np.ones(batch_size))\n", " D_fake_loss = binary_cross_entropy(D_fake_out, np.zeros(batch_size))\n", "\n", " D_total_loss = D_real_loss + D_fake_loss\n", " return D_total_loss\n", "\n", "\n", "def G_loss(params):\n", " # Sample random noise from a Gaussian distribution\n", " z = npr.randn(batch_size, noise_dimension)\n", " fake_images = G(params, z)\n", " \n", " D_fake_out = D(params, fake_images)\n", "\n", " # The generator wants to fool the discriminator; that is, it wants the discriminator to assign high \n", " # probability (close to 1) to the fake images it generates.\n", " loss = binary_cross_entropy(D_fake_out, np.ones(batch_size))\n", " #loss = -binary_cross_entropy(D_fake_out, np.zeros(batch_size))\n", " return loss\n", "\n", "D_loss_grad, G_loss_grad = grad(D_loss), grad(G_loss)" ], "execution_count": 0, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "L9LpR4w5up1K", "colab_type": "text" }, "source": [ "### Prepare to show generated samples during training" ] }, { "cell_type": "code", "metadata": { "id": "jvwgNvVOup1L", "colab_type": "code", "outputId": "9b61f105-e360-413c-aca0-797042949d6f", "colab": { "base_uri": "https://localhost:8080/", "height": 361 } }, "source": [ "image_width, image_length, image_channels = 28, 28, 1\n", "num_test_samples = 25 \n", "size_figure_grid = int(math.sqrt(num_test_samples))\n", "\n", "def display_samples(ax, image_matrix, num_samples=25):\n", " for i, j in itertools.product(range(size_figure_grid), range(size_figure_grid)):\n", " ax[i,j].get_xaxis().set_visible(False)\n", " ax[i,j].get_yaxis().set_visible(False)\n", " # reshaped_generated_images = fake_images.view(batch_size, 28, 28)\n", " \n", " for k in range(num_test_samples):\n", " i = k // size_figure_grid\n", " j = k % size_figure_grid\n", " ax[i,j].cla()\n", " ax[i,j].imshow(image_matrix[k,:].reshape(image_width, image_length), cmap='Greys_r')\n", " \n", " #display.clear_output(wait=True)\n", " #display.display(plt.gcf())\n", "fig, ax = plt.subplots(size_figure_grid, size_figure_grid, figsize=(6, 6))\n", "display_samples(ax, train_images[:num_test_samples], num_samples=num_test_samples)" ], "execution_count": 8, "outputs": [ { "output_type": "display_data", "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV8AAAFYCAYAAAD0sP85AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlIH/A23sycpotpd/AAAAAElFTkSuQmCC\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "markdown", "metadata": { "id": "wSQSKfdCup1N", "colab_type": "text" }, "source": [ "### Train the GAN" ] }, { "cell_type": "code", "metadata": { "scrolled": false, "id": "PPiAg1zbup1O", "colab_type": "code", "outputId": "7a169456-d445-4b85-fdd4-0822898d7e46", "colab": { "base_uri": "https://localhost:8080/", "height": 756 } }, "source": [ "image_size = image_width * image_length * image_channels\n", "\n", "# HYPERPARAMETERS\n", "noise_dimension = 20 # Play with this latent dimension\n", "# You could also play with the latent distribution. Right now its Gaussian.\n", "param_scale = 0.001 # Play with this initialization scale\n", "# You can also play with the initialization distribution in init_weights and init_biases\n", "params = {\n", " 'G_params': init_G_params(noise_dimension, image_size, param_scale),\n", " 'D_params': init_D_params(image_size, 1, param_scale)\n", " }\n", "# Play with the architecture inside init_G_params, G, init_D_params, D\n", "# Ex., # of hidden layers, connectivity, activation, if we use batch norm, ...\n", "\n", "# You can also play with the choice of loss function in G_loss and D_loss\n", "\n", "# TRAINING HYPERPARAMETERS\n", "num_epochs = 10 # Play with this. Whats a good stopping condition?\n", "batch_size = 100 # Play with this\n", "learning_rate = 0.001 # Play with this\n", "# Right now we use SGD for both G and D. You could try other optimizers\n", "# You can try D & G using different optimizers with different parameters.\n", "do_alternating = True # True if we do alternating updates, false for simultaneous\n", "num_D_train = 1 # Play with this\n", "num_G_train = 1 # Play with with\n", "\n", "# DIAGNOSTIC PARAMETERS\n", "display_every = 20\n", "\n", "fixed_noise = npr.randn(num_test_samples, noise_dimension)\n", "num_batches = int(math.ceil(train_images.shape[0] / batch_size))\n", "iteration = 0\n", "fig, ax = plt.subplots(size_figure_grid, size_figure_grid, figsize=(6, 6))\n", "for epoch in range(num_epochs):\n", " for batch_index in range(num_batches):\n", " start_index = batch_index * batch_size\n", " end_index = start_index + batch_size\n", " \n", " real_images = train_images[start_index:end_index]\n", " \n", " # Sample random noise from a Gaussian distribution\n", " z = npr.randn(batch_size, noise_dimension)\n", " fake_images = G(params, z)\n", "\n", " if do_alternating:\n", " for _ in range(num_D_train):\n", " D_grad_params = D_loss_grad(params, real_images, fake_images)\n", " for param in params['D_params']: # Update the discriminator\n", " params['D_params'][param] -= learning_rate * D_grad_params['D_params'][param]\n", " \n", " for _ in range(num_G_train):\n", " G_grad_params = G_loss_grad(params)\n", " for param in params['G_params']: # Update the generator\n", " params['G_params'][param] -= learning_rate * G_grad_params['G_params'][param]\n", " else: # Do simultaneous updates\n", " # Compute BOTH gradients first\n", " D_grad_params = D_loss_grad(params, real_images, fake_images)\n", " G_grad_params = G_loss_grad(params)\n", " \n", " for param in params['D_params']: # Update the discriminator\n", " params['D_params'][param] += learning_rate * D_grad_params['D_params'][param]\n", " \n", " for param in params['G_params']: # Update the generator\n", " params['G_params'][param] -= learning_rate * G_grad_params['G_params'][param]\n", " \n", " \n", " # Show generated samples periodically, to inspect the generator qualitatively\n", " if iteration % display_every == 0:\n", " D_total_loss = D_loss(params, real_images, fake_images)\n", " G_total_loss = G_loss(params)\n", " \n", " test_images = G(params, fixed_noise)\n", " \n", " plt.cla()\n", " display_samples(ax, test_images, num_samples=num_test_samples)\n", " display.clear_output(wait=True)\n", " display.display(plt.gcf())\n", " \n", " print(f\"Epoch {epoch}, Iteration {iteration}\")\n", " print(f\"D loss = {D_total_loss}\")\n", " print(f\"G loss = {G_total_loss}\")\n", " \n", " iteration += 1" ], "execution_count": 9, "outputs": [ { "output_type": "display_data", "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV8AAAFYCAYAAAD0sP85AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZF3OFItOJQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] } }, { "output_type": "stream", "text": [ "Epoch 9, Iteration 5480\n", "D loss = 54.36766815185547\n", "G loss = 203.771240234375\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAV8AAAFYCAYAAAD0sP85AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nZF3OFItOJQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "markdown", "metadata": { "id": "XpixnPNAup1Q", "colab_type": "text" }, "source": [ "## Conditional GAN, a.k.a. \"Give me a 5!\"\n", "\n", "The vanilla GAN we have just implemented does not take into account the class of an image; thus, while it can produce realistic images that look like ones from the training set, it cannot produce images of a specific, desired class, such as only images of the number 5. We can extend the vanilla GAN by incorporating extra conditioning information, for example to specify which class we want it to generate. To do this, we pass a conditioning vector $c$ to both the generator and discriminator, so they become $G(z, c)$ and $D(x, c)$, respectively. Then the generator $G$ can take into account which class it is supposed to generate, and $D$ can score how realistic a generated image is, given that it is intended to represent a specific class.\n", "\n", "Then, the objective function of the discriminator becomes:\n", "$$\n", "J_D = \\mathbb{E}_{x \\sim p_{data}} [ - \\log D(x, c) ] + \\mathbb{E}_z [ - \\log(1 - D(G(z, c), c)) ]\n", "$$\n", "\n", "And the objective function of the generator becomes:\n", "$$\n", "J_G = \\mathbb{E}_{z \\sim q(z)} [ - \\log D(G(z, c), c) ]\n", "$$" ] }, { "cell_type": "code", "metadata": { "id": "cs3pVHCOup1R", "colab_type": "code", "colab": {} }, "source": [ "" ], "execution_count": 0, "outputs": [] } ] }