cGAN_mnist.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1AZvP9HAlwgc"
   },
   "source": [
    "# cDCGAN (conditional Deep Convolutional Generative Adversarial Network)\n",
    "Additional information that is correlated with the input images, such as class labels, can be used to improve the GAN. This improvement may come in the form of more stable training, faster training, and/or generated images that have better quality. Class labels can also be used for the deliberate or targeted generation of images of a given type.\n",
    "\n",
    "There are many ways to encode and incorporate the class labels into the discriminator and generator models. A best practice involves using an embedding layer followed by a fully connected layer with a linear activation that scales the embedding to the size of the image before concatenating it in the model as an additional channel or feature map. The class labels are one hot encoded and concatenated with the input to both the generator and discriminator models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eBCzaLcqlwgr"
   },
   "source": [
    "#### Training normal GAN\n",
    "GAN model takes as input a point in the latent space, uses the generator model to generate an image which is fed as input to the discriminator model, then is output or classified as real or fake.\n",
    "(point --> generator --> image --> discriminator --> real/fake)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "Hl8wZIcElwgs"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.utils import plot_model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DTnapMz6lwgt"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "esgeuP7Vlwgu"
   },
   "outputs": [],
   "source": [
    "from numpy import ones, expand_dims\n",
    "from numpy.random import randint\n",
    "\n",
    "# loading the dataset\n",
    "def load_real_samples():\n",
    "\n",
    "    (train_X, train_y), (_, _) = load_data()\n",
    "    # expand to 3d, e.g. add channels\n",
    "    X = expand_dims(train_X, axis=-1)\n",
    "    # convert from ints to floats\n",
    "    X = X.astype('float32')\n",
    "    # scale from [0,255] to [-1,1]\n",
    "    X = (X - 127.5) / 127.5\n",
    "\n",
    "    # return loaded and scaled Fashion MNIST training dataset ready for modeling.\n",
    "    return [X, train_y] \n",
    "\n",
    "# selecting a batch of real samples\n",
    "def generate_real_samples(dataset, n_samples):\n",
    "    \n",
    "    # split into images and labels\n",
    "    images, labels = dataset\n",
    "    # choose random instances\n",
    "    ix = randint(0, images.shape[0], n_samples)\n",
    "    # select images and labels\n",
    "    X, labels = images[ix], labels[ix]\n",
    "    # generate class labels\n",
    "    y = ones((n_samples, 1))\n",
    "    \n",
    "    return [X, labels], y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TH2didFOlwgv"
   },
   "source": [
    "Generate an array of randomly selected integer class labels to go along with the randomly selected points in the latent space."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "WLuqzzXIlwgv"
   },
   "outputs": [],
   "source": [
    "from numpy.random import randn\n",
    "\n",
    "def generate_latent_points(latent_dim, n_samples, n_classes):\n",
    "\n",
    "    # generate points in the latent space\n",
    "    x_input = randn(latent_dim * n_samples)\n",
    "    # reshape into a batch of inputs for the network\n",
    "    z_input = x_input.reshape(n_samples, latent_dim)\n",
    "    \n",
    "    # generate labels\n",
    "    labels = randint(0, n_classes, n_samples)\n",
    " \n",
    "    return [z_input, labels]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "itmRjrV0lwgw"
   },
   "source": [
    "Use the generator to generate(predict) n fake examples, with class labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "WTvsG67ulwgw"
   },
   "outputs": [],
   "source": [
    "from numpy import zeros\n",
    "\n",
    "def generate_fake_samples(generator, latent_dim, n_samples):\n",
    "   \n",
    "    # generate points in latent space\n",
    "    z_input, labels_input = generate_latent_points(latent_dim, n_samples, n_classes=10)\n",
    "    # predict outputs\n",
    "    images = generator.predict([z_input, labels_input])\n",
    "    \n",
    "    # create class labels\n",
    "    y = zeros((n_samples, 1))\n",
    "    \n",
    "    return [images, labels_input], y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jUlMb0Q9lwgw"
   },
   "source": [
    "### cGAN architecture overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3k_BmgCElwgw"
   },
   "source": [
    "![cGAN_architecture-2.png](attachment:cGAN_architecture-2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "N6xCOmSBlwgx"
   },
   "source": [
    "## Discriminator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aDkX-Kqzlwgx"
   },
   "source": [
    "The class label is then passed through an Embedding layer with the size of 50. This means that each of the 10 classes for the Fashion MNIST dataset (0 through 9) will map to a different 50-element vector representation that will be learned by the discriminator model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "QF0FgY2ilwgz"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.layers import Input, LeakyReLU, Dropout, Embedding, Concatenate\n",
    "from tensorflow.keras.layers import Dense, Reshape, Flatten, Conv2D, Conv2DTranspose\n",
    "from tensorflow.keras.optimizers import Adam\n",
    "from tensorflow.keras.models import Model\n",
    "\n",
    "def define_discriminator(input_shape, n_classes):\n",
    "    \n",
    "    # label input\n",
    "    class_label = Input(shape=(1,))\n",
    "    # embedding for categorical input\n",
    "    x = Embedding(n_classes, 5*n_classes)(class_label)\n",
    "    \n",
    "    # scale up to image dimensions with linear activation\n",
    "    n_nodes = input_shape[0] * input_shape[1]\n",
    "    x = Dense(n_nodes)(x)\n",
    "    # reshape to additxional channel\n",
    "    x = Reshape((input_shape[0], input_shape[1], 1))(x)\n",
    "    \n",
    "    # image input\n",
    "    input_image = Input(shape=input_shape)\n",
    "    # concat label as a channel\n",
    "    merge = Concatenate()([input_image, x])\n",
    "    \n",
    "    # downsample\n",
    "    y = Conv2D(128, (3,3), strides=(2,2), padding='same')(merge)\n",
    "    y = LeakyReLU(alpha=0.2)(y)\n",
    "    # downsample\n",
    "    y = Conv2D(128, (3,3), strides=(2,2), padding='same')(y)\n",
    "    y = LeakyReLU(alpha=0.2)(y)\n",
    "    \n",
    "    # flatten feature maps\n",
    "    y = Flatten()(y)\n",
    "    # dropout\n",
    "    y = Dropout(0.4)(y)\n",
    "    \n",
    "    # output\n",
    "    output_layer = Dense(1, activation='sigmoid')(y)\n",
    "    # define model\n",
    "    model = Model([input_image, class_label], output_layer)\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_6v68QFLlwgz",
    "outputId": "e19c48c4-443a-4850-cb28-b6cc8d863d99"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 1)]          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "embedding (Embedding)           (None, 1, 50)        500         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense (Dense)                   (None, 1, 784)       39984       embedding[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "input_2 (InputLayer)            [(None, 28, 28, 1)]  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "reshape (Reshape)               (None, 28, 28, 1)    0           dense[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "concatenate (Concatenate)       (None, 28, 28, 2)    0           input_2[0][0]                    \n",
      "                                                                 reshape[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "conv2d (Conv2D)                 (None, 14, 14, 128)  2432        concatenate[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu (LeakyReLU)         (None, 14, 14, 128)  0           conv2d[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_1 (Conv2D)               (None, 7, 7, 128)    147584      leaky_re_lu[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_1 (LeakyReLU)       (None, 7, 7, 128)    0           conv2d_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "flatten (Flatten)               (None, 6272)         0           leaky_re_lu_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "dropout (Dropout)               (None, 6272)         0           flatten[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_1 (Dense)                 (None, 1)            6273        dropout[0][0]                    \n",
      "==================================================================================================\n",
      "Total params: 196,773\n",
      "Trainable params: 196,773\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# create the discriminator\n",
    "discriminator = define_discriminator(input_shape=(28,28,1), n_classes=10)\n",
    "\n",
    "# compile discriminator\n",
    "discriminator.compile(loss='binary_crossentropy', optimizer=Adam(lr=0.0002, beta_1=0.5), metrics=['accuracy'])\n",
    "discriminator.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "SNaxJtuLlwg0",
    "outputId": "84e64058-531c-4705-c828-598f1414401e"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_model(discriminator, to_file='discriminator_plot.png', show_shapes=True, show_layer_names=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "GzDJFttClwg1"
   },
   "source": [
    "## Generator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "taXGtF5ilwg1"
   },
   "source": [
    "Next, the generator model must be updated to take the class label. This has the effect of making the point in the latent space conditional on the provided class label.\n",
    "In this case, the activations of the fully connected layer are resized into a single 7×7 feature map. The new 7×7 feature map is added as one more channel to the existing 128, resulting in 129 feature maps that are then upsampled as in the prior model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "RxF5i3qKlwg1"
   },
   "outputs": [],
   "source": [
    "def define_generator(latent_dim, n_classes):\n",
    "    \n",
    "    # label input\n",
    "    class_label = Input(shape=(1,))\n",
    "    # embedding for categorical input\n",
    "    x = Embedding(n_classes, 5*n_classes)(class_label)\n",
    "    \n",
    "    # linear multiplication\n",
    "    n_nodes = 7 * 7\n",
    "    x = Dense(n_nodes)(x)\n",
    "    # reshape to additional channel\n",
    "    x = Reshape((7, 7, 1))(x)\n",
    "    \n",
    "    # image generator input\n",
    "    latent_input = Input(shape=(latent_dim,))\n",
    "    # foundation for 7x7 image\n",
    "    n_nodes = 128 * 7 * 7\n",
    "    gen = Dense(n_nodes)(latent_input)\n",
    "    gen = LeakyReLU(alpha=0.2)(gen)\n",
    "    gen = Reshape((7, 7, 128))(gen)\n",
    "    \n",
    "    # merge image gen and label input\n",
    "    merge = Concatenate()([gen, x])\n",
    "    \n",
    "    # upsample to 14x14\n",
    "    gen = Conv2DTranspose(128, (4,4), strides=(2,2), padding='same')(merge)\n",
    "    gen = LeakyReLU(alpha=0.2)(gen)\n",
    "    # upsample to 28x28\n",
    "    gen = Conv2DTranspose(128, (4,4), strides=(2,2), padding='same')(gen)\n",
    "    gen = LeakyReLU(alpha=0.2)(gen)\n",
    "    \n",
    "    # output\n",
    "    output_layer = Conv2D(1, (7,7), activation='tanh', padding='same')(gen)   #[-1,1]\n",
    "    # define model\n",
    "    model = Model([latent_input, class_label], output_layer)\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "tJ9mUXgelwg2",
    "outputId": "e007ca1d-35bd-45a8-9a8e-a39703af63b5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_4 (InputLayer)            [(None, 100)]        0                                            \n",
      "__________________________________________________________________________________________________\n",
      "input_3 (InputLayer)            [(None, 1)]          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "dense_3 (Dense)                 (None, 6272)         633472      input_4[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "embedding_1 (Embedding)         (None, 1, 50)        500         input_3[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_2 (LeakyReLU)       (None, 6272)         0           dense_3[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 1, 49)        2499        embedding_1[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "reshape_2 (Reshape)             (None, 7, 7, 128)    0           leaky_re_lu_2[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "reshape_1 (Reshape)             (None, 7, 7, 1)      0           dense_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)     (None, 7, 7, 129)    0           reshape_2[0][0]                  \n",
      "                                                                 reshape_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose (Conv2DTranspo (None, 14, 14, 128)  264320      concatenate_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_3 (LeakyReLU)       (None, 14, 14, 128)  0           conv2d_transpose[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_1 (Conv2DTrans (None, 28, 28, 128)  262272      leaky_re_lu_3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_4 (LeakyReLU)       (None, 28, 28, 128)  0           conv2d_transpose_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)               (None, 28, 28, 1)    6273        leaky_re_lu_4[0][0]              \n",
      "==================================================================================================\n",
      "Total params: 1,169,336\n",
      "Trainable params: 1,169,336\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# create the generator\n",
    "generator = define_generator(latent_dim=100,n_classes=10)\n",
    "generator.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "V10jhLs4lwg3",
    "outputId": "b4ebf639-33a5-4ebe-a32d-5668a956e0b8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_model(generator, to_file='generator_plot.png', show_shapes=True, show_layer_names=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "0Cku9SMelwg3"
   },
   "source": [
    "# cGAN"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rBqtOYIdlwg3"
   },
   "source": [
    "cGAN model will take as input (a point in latent space, class label) and generate a prediction of whether input was real or fake, as a normal GAN. It is important that we explicitly connect the image generated output from the generator as well as the class label input, both as input to the discriminator model. This allows the same class label input to flow down into the generator and down into the discriminator."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "8VV7Q6VQbrFw"
   },
   "outputs": [],
   "source": [
    "# define the combined generator and discriminator model, for updating the generator\n",
    "def define_gan(generator, discriminator):\n",
    "    \n",
    "    # make weights in the discriminator not trainable\n",
    "    discriminator.trainable = False\n",
    "    \n",
    "    # get noise and label inputs from generator model\n",
    "    gen_noise, gen_label = generator.input\n",
    "    # get image output from the generator model\n",
    "    gen_output = generator.output\n",
    "    \n",
    "    # connect image output and label input from generator as inputs to discriminator\n",
    "    cgan_output = discriminator([gen_output, gen_label])\n",
    "    \n",
    "    # define gan model as taking (input noise,input label), and outputting a classification\n",
    "    cGAN = Model([gen_noise, gen_label], cgan_output)\n",
    "   \n",
    "    return cGAN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "595Yfx5dbrGA",
    "outputId": "87ecaf80-5cd5-4228-8dff-469ad3623287"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_2\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_4 (InputLayer)            [(None, 100)]        0                                            \n",
      "__________________________________________________________________________________________________\n",
      "input_3 (InputLayer)            [(None, 1)]          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "dense_3 (Dense)                 (None, 6272)         633472      input_4[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "embedding_1 (Embedding)         (None, 1, 50)        500         input_3[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_2 (LeakyReLU)       (None, 6272)         0           dense_3[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "dense_2 (Dense)                 (None, 1, 49)        2499        embedding_1[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "reshape_2 (Reshape)             (None, 7, 7, 128)    0           leaky_re_lu_2[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "reshape_1 (Reshape)             (None, 7, 7, 1)      0           dense_2[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)     (None, 7, 7, 129)    0           reshape_2[0][0]                  \n",
      "                                                                 reshape_1[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose (Conv2DTranspo (None, 14, 14, 128)  264320      concatenate_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_3 (LeakyReLU)       (None, 14, 14, 128)  0           conv2d_transpose[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_1 (Conv2DTrans (None, 28, 28, 128)  262272      leaky_re_lu_3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "leaky_re_lu_4 (LeakyReLU)       (None, 28, 28, 128)  0           conv2d_transpose_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)               (None, 28, 28, 1)    6273        leaky_re_lu_4[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "model (Functional)              (None, 1)            196773      conv2d_2[0][0]                   \n",
      "                                                                 input_3[0][0]                    \n",
      "==================================================================================================\n",
      "Total params: 1,366,109\n",
      "Trainable params: 1,169,336\n",
      "Non-trainable params: 196,773\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# create the gan\n",
    "cGAN = define_gan(generator,discriminator)\n",
    "\n",
    "# compile model\n",
    "cGAN.compile(loss='binary_crossentropy', optimizer=Adam(lr=0.0002, beta_1=0.5))\n",
    "cGAN.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "LTiAOr7blwg4",
    "outputId": "3b8de133-2418-4410-ba1e-9541b0d4bbc8"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 15,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_model(cGAN, to_file='cGAN_plot.png', show_shapes=True, show_layer_names=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ZWIzlrSGbrGB",
    "outputId": "857ad9a7-4503-4e6a-e0e9-46c49c2ae9dd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n",
      "32768/29515 [=================================] - 0s 0us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n",
      "26427392/26421880 [==============================] - 0s 0us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n",
      "8192/5148 [===============================================] - 0s 0us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n",
      "4423680/4422102 [==============================] - 0s 0us/step\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.datasets.fashion_mnist import load_data\n",
    "\n",
    "# load image data\n",
    "dataset = load_real_samples()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UE1pkQmflwg5"
   },
   "source": [
    "## Training\n",
    "Use also the class labels in the calls to updating the discriminator and generator models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "OsuIMYhAlwg5"
   },
   "outputs": [],
   "source": [
    "# train the generator and discriminator\n",
    "def train(generator, discriminator, cGAN, dataset, latent_dim=100, n_epochs=25, n_batch=128):\n",
    "\n",
    "    print(\"Training:\\n\")  \n",
    "    bat_per_epo = int(dataset[0].shape[0] / n_batch)\n",
    "    half_batch = int(n_batch / 2)\n",
    "    \n",
    "    # manually enumerate epochs\n",
    "    for i in range(n_epochs):\n",
    "        \n",
    "        # enumerate batches over the training set\n",
    "        for j in range(bat_per_epo):\n",
    "            \n",
    "            # get randomly selected 'real' samples and update discriminator model weights\n",
    "            [X_real, labels_real], y_real = generate_real_samples(dataset, half_batch)\n",
    "            d_loss1, _ = discriminator.train_on_batch([X_real, labels_real], y_real)\n",
    "            \n",
    "            # generate 'fake' examples and update discriminator model weights\n",
    "            [X_fake, labels], y_fake = generate_fake_samples(generator, latent_dim, half_batch)\n",
    "            d_loss2, _ = discriminator.train_on_batch([X_fake, labels], y_fake)\n",
    "            \n",
    "            # prepare points in latent space as input for the generator\n",
    "            [z_input, labels_input] = generate_latent_points(latent_dim, n_batch, n_classes=10)\n",
    "            # create inverted labels for the fake samples\n",
    "            y_gan = ones((n_batch, 1))\n",
    "            # update the generator via the discriminator's error\n",
    "            g_loss = cGAN.train_on_batch([z_input, labels_input], y_gan)\n",
    "            \n",
    "            # summarize loss on this batch\n",
    "            if j+1 == bat_per_epo:\n",
    "                print('>Epoch %d - %d/%d  -\\t discr_loss1=%.3f-\\t discr_loss2=%.3f-\\t gener_loss=%.3f' \n",
    "                       %(i+1,  j+1, bat_per_epo,  d_loss1, d_loss2, g_loss))\n",
    "   \n",
    "    # save the generator model at the end\n",
    "    generator.save('cGAN_generator.h5')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "collapsed": true,
    "id": "raLYj8HUbrGB",
    "outputId": "af7839a1-e342-43bf-864e-2d279532b62a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training:\n",
      "\n",
      ">Epoch:1\t\t, 468/468\t, discr_loss1=0.634,\t discr_loss2=0.664\t gener_loss=0.834\n",
      ">Epoch:2\t\t, 468/468\t, discr_loss1=0.676,\t discr_loss2=0.680\t gener_loss=0.788\n",
      ">Epoch:3\t\t, 468/468\t, discr_loss1=0.648,\t discr_loss2=0.672\t gener_loss=0.804\n",
      ">Epoch:4\t\t, 468/468\t, discr_loss1=0.681,\t discr_loss2=0.674\t gener_loss=0.803\n",
      ">Epoch:5\t\t, 468/468\t, discr_loss1=0.665,\t discr_loss2=0.637\t gener_loss=0.811\n",
      ">Epoch:6\t\t, 468/468\t, discr_loss1=0.683,\t discr_loss2=0.645\t gener_loss=0.776\n",
      ">Epoch:7\t\t, 468/468\t, discr_loss1=0.723,\t discr_loss2=0.624\t gener_loss=0.871\n",
      ">Epoch:8\t\t, 468/468\t, discr_loss1=0.638,\t discr_loss2=0.669\t gener_loss=0.749\n",
      ">Epoch:9\t\t, 468/468\t, discr_loss1=0.677,\t discr_loss2=0.658\t gener_loss=0.762\n",
      ">Epoch:10\t\t, 468/468\t, discr_loss1=0.675,\t discr_loss2=0.635\t gener_loss=0.810\n",
      ">Epoch:11\t\t, 468/468\t, discr_loss1=0.688,\t discr_loss2=0.666\t gener_loss=0.791\n",
      ">Epoch:12\t\t, 468/468\t, discr_loss1=0.701,\t discr_loss2=0.675\t gener_loss=0.793\n",
      ">Epoch:13\t\t, 468/468\t, discr_loss1=0.658,\t discr_loss2=0.688\t gener_loss=0.859\n",
      ">Epoch:14\t\t, 468/468\t, discr_loss1=0.664,\t discr_loss2=0.692\t gener_loss=0.801\n",
      ">Epoch:15\t\t, 468/468\t, discr_loss1=0.687,\t discr_loss2=0.718\t gener_loss=0.783\n",
      ">Epoch:16\t\t, 468/468\t, discr_loss1=0.649,\t discr_loss2=0.672\t gener_loss=0.750\n",
      ">Epoch:17\t\t, 468/468\t, discr_loss1=0.699,\t discr_loss2=0.697\t gener_loss=0.753\n",
      ">Epoch:18\t\t, 468/468\t, discr_loss1=0.679,\t discr_loss2=0.615\t gener_loss=0.781\n",
      ">Epoch:19\t\t, 468/468\t, discr_loss1=0.655,\t discr_loss2=0.691\t gener_loss=0.762\n",
      ">Epoch:20\t\t, 468/468\t, discr_loss1=0.658,\t discr_loss2=0.632\t gener_loss=0.780\n",
      ">Epoch:21\t\t, 468/468\t, discr_loss1=0.644,\t discr_loss2=0.661\t gener_loss=0.766\n",
      ">Epoch:22\t\t, 468/468\t, discr_loss1=0.658,\t discr_loss2=0.655\t gener_loss=0.768\n",
      ">Epoch:23\t\t, 468/468\t, discr_loss1=0.642,\t discr_loss2=0.618\t gener_loss=0.794\n",
      ">Epoch:24\t\t, 468/468\t, discr_loss1=0.728,\t discr_loss2=0.644\t gener_loss=0.835\n",
      ">Epoch:25\t\t, 468/468\t, discr_loss1=0.682,\t discr_loss2=0.716\t gener_loss=0.770\n"
     ]
    }
   ],
   "source": [
    "latent_dim = 100\n",
    "train(generator, discriminator, cGAN, dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QEcS9X5Ghcoi"
   },
   "source": [
    "## Generate images\n",
    "Generate images conditional on the class label. We can generate 10 examples for each class label in columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "zNGmvdOqbrGD"
   },
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    " \n",
    "# generate points in latent space as input for the generator\n",
    "def generate_latent_points(latent_dim, n_samples, n_classes=10):\n",
    "   \n",
    "    # generate points in the latent space\n",
    "    x_input = randn(latent_dim * n_samples)\n",
    "    # reshape into a batch of inputs for the network\n",
    "    z_input = x_input.reshape(n_samples, latent_dim)\n",
    "    # generate labels\n",
    "    labels = randint(0, n_classes, n_samples)\n",
    "    \n",
    "    return [z_input, labels]\n",
    " \n",
    "\n",
    "# create and save a plot of generated images\n",
    "def draw_plot(examples, n):\n",
    "    \n",
    "    # plot images\n",
    "    for i in range(n * n):\n",
    "    \n",
    "        # define subplot\n",
    "        plt.subplot(n, n, 1 + i)\n",
    "        # turn off axis\n",
    "        plt.axis('off')\n",
    "        # plot raw pixel data\n",
    "        plt.imshow(examples[i, :, :, 0], cmap='gray_r')\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 265
    },
    "id": "daCpu_xldIjq",
    "outputId": "c3ebf854-0dd1-4b9e-c031-f9d63b99c2f9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 100 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light",
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tensorflow.keras.models import load_model\n",
    "from numpy import asarray\n",
    "\n",
    "# load model\n",
    "model = load_model('cGAN_generator.h5')\n",
    "\n",
    "# generate images\n",
    "latent_points, labels = generate_latent_points(100, 100)\n",
    "# specify labels\n",
    "labels = asarray([x for _ in range(10) for x in range(10)])\n",
    "\n",
    "# generate images\n",
    "X  = model.predict([latent_points, labels])\n",
    "# scale from [-1,1] to [0,1]\n",
    "X = (X + 1) / 2.0\n",
    "\n",
    "# plot the result\n",
    "draw_plot(X, 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uuPft1zkdKHq"
   },
   "source": [
    "https://machinelearningmastery.com/how-to-develop-a-conditional-generative-adversarial-network-from-scratch/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "FzKv9kuzlwg7"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "collapsed_sections": [],
   "name": "cGAN_mnist.ipynb",
   "provenance": []
  },
  "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": "3.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}