{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "iUebtXJXCDp2"
   },
   "outputs": [],
   "source": [
    "# !unzip -q '/content/drive/MyDrive/flowers/flowers.zip' -d '/content/flowers'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "_rWYs7_s61qi"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import torchvision.transforms as tt\n",
    "from torch.utils.data import DataLoader\n",
    "from torchvision.datasets import ImageFolder\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from tqdm.notebook import tqdm\n",
    "import torch.nn.functional as F\n",
    "import matplotlib.pyplot as plt\n",
    "import statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 53
    },
    "id": "DoypUEVoBh6d",
    "outputId": "10cc93bf-7812-4626-8f7c-b0d6b175521e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\shiva\\Desktop\\projects\n",
      "['flowers']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'cuda'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "image_size = 64\n",
    "batch_size = 64\n",
    "stats = (0.5, 0.5, 0.5), (0.5, 0.5, 0.5)\n",
    "print(os.getcwd())\n",
    "DATA_DIR = 'jpg'\n",
    "\n",
    "print(os.listdir(DATA_DIR))\n",
    "\n",
    "train_ds = ImageFolder(DATA_DIR, transform=tt.Compose([ tt.Resize(image_size),\n",
    "                                                        tt.CenterCrop(image_size),\n",
    "                                                        tt.ToTensor(),\n",
    "                                                        tt.Normalize(*stats)]))\n",
    "\n",
    "train_dl = DataLoader(train_ds, batch_size, shuffle=True, num_workers=3, pin_memory=True)\n",
    "\n",
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "device"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ru0yTqGm7Tze"
   },
   "source": [
    "# GENERATOR - DISCRIMINATOR"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "_0y5qRt77stc"
   },
   "outputs": [],
   "source": [
    "latent_size = 256"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "5jEoA6Tz7cia"
   },
   "outputs": [],
   "source": [
    "class Generator(nn.Module):\n",
    "    def __init__(self, latent_size):\n",
    "        super(Generator, self).__init__()\n",
    "\n",
    "        # self.embeddings = text_embeddings(input)\n",
    "\n",
    "        self.main = nn.Sequential(\n",
    "            # latent_size x 1 x 1\n",
    "            nn.ConvTranspose2d(latent_size, 512, kernel_size=4, stride=1, padding=0, bias=False),\n",
    "            nn.BatchNorm2d(512),\n",
    "            nn.ReLU(True),\n",
    "            # 512 x 4 x 4\n",
    "            nn.ConvTranspose2d(512, 256, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(256),\n",
    "            nn.ReLU(True),\n",
    "            # 256 x 8 x 8\n",
    "            nn.ConvTranspose2d(256, 128, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.ReLU(True),\n",
    "            # 128 x 16 x 16\n",
    "            nn.ConvTranspose2d(128, 64, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(64),\n",
    "            nn.ReLU(True),\n",
    "            # 64 x 32 x 32\n",
    "            nn.ConvTranspose2d(64, 3, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.Tanh(),\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        return self.main(x)\n",
    "\n",
    "generator = Generator(latent_size).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "_hA7nXZJ7nTH"
   },
   "outputs": [],
   "source": [
    "class Discriminator(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Discriminator, self).__init__()\n",
    "\n",
    "        self.main = nn.Sequential(\n",
    "            # # 3 x 128 x 128\n",
    "\n",
    "            # nn.Conv2d(3, 32, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            # nn.BatchNorm2d(32),\n",
    "            # nn.LeakyReLU(0.2, inplace=True),\n",
    "\n",
    "            # 3 x 64 x 64\n",
    "            nn.Conv2d(3, 64, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(64),\n",
    "            nn.LeakyReLU(0.2, inplace=True),\n",
    "            # 64 x 32 x 32\n",
    "            nn.Conv2d(64, 128, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.LeakyReLU(0.2, inplace=True),\n",
    "            # 128 x 16 x 16\n",
    "            nn.Conv2d(128, 256, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(256),\n",
    "            nn.LeakyReLU(0.2, inplace=True),\n",
    "            # 256 x 8 x 8\n",
    "            nn.Conv2d(256, 512, kernel_size=4, stride=2, padding=1, bias=False),\n",
    "            nn.BatchNorm2d(512),\n",
    "            nn.LeakyReLU(0.2, inplace=True),\n",
    "            # 512 x 4 x 4\n",
    "            nn.Conv2d(512, 1, kernel_size=4, stride=1, padding=0, bias=False),\n",
    "            # 1 x 1 x 1\n",
    "            nn.Flatten(),\n",
    "            nn.Sigmoid()\n",
    "        )\n",
    "\n",
    "    def forward(self, x):\n",
    "        return self.main(x)\n",
    "\n",
    "discriminator = Discriminator().to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "LKbH2k0t716E",
    "outputId": "3b27872a-892c-471c-fc34-eaad5c7c727e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([64, 3, 64, 64]) torch.Size([64, 1])\n"
     ]
    }
   ],
   "source": [
    "latent = torch.randn(batch_size, latent_size, 1, 1, device=device)\n",
    "fake_images = generator(latent)\n",
    "fake_labels = discriminator(fake_images)\n",
    "print(fake_images.size(), fake_labels.size())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WBj5F3W8A5US"
   },
   "source": [
    "#TRAINING"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "TRA_NQiz8Og5"
   },
   "outputs": [],
   "source": [
    "def train_discriminator(real_images, opt_d):\n",
    "    # Clear discriminator gradients\n",
    "    opt_d.zero_grad()\n",
    "\n",
    "    # Pass real images through discriminator\n",
    "    real_images = real_images.to(device)\n",
    "    real_preds = discriminator(real_images)\n",
    "    real_targets = torch.ones(real_images.size(0), 1, device=device)\n",
    "    real_loss = F.binary_cross_entropy(real_preds, real_targets)\n",
    "    real_score = torch.mean(real_preds).item()\n",
    "    \n",
    "    # Generate fake images\n",
    "    latent = torch.randn(batch_size, latent_size, 1, 1, device=device)\n",
    "    fake_images = generator(latent)\n",
    "\n",
    "    # Pass fake images through discriminator\n",
    "    fake_targets = torch.zeros(fake_images.size(0), 1, device=device)\n",
    "    fake_preds = discriminator(fake_images)\n",
    "    fake_loss = F.binary_cross_entropy(fake_preds, fake_targets)\n",
    "    fake_score = torch.mean(fake_preds).item()\n",
    "\n",
    "    # Update discriminator weights\n",
    "    loss = real_loss + fake_loss\n",
    "    loss.backward()\n",
    "    opt_d.step()\n",
    "    return loss.item(), real_score, fake_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "5R_CxOClAkc0"
   },
   "outputs": [],
   "source": [
    "def train_generator(opt_g):\n",
    "    # Clear generator gradients\n",
    "    opt_g.zero_grad()\n",
    "    \n",
    "    # Generate fake images\n",
    "    latent = torch.randn(batch_size, latent_size, 1, 1, device=device)\n",
    "    fake_images = generator(latent)\n",
    "    \n",
    "    # Try to fool the discriminator\n",
    "    preds = discriminator(fake_images)\n",
    "    targets = torch.ones(batch_size, 1, device=device)\n",
    "    loss = F.binary_cross_entropy(preds, targets)\n",
    "    \n",
    "    # Update generator weights\n",
    "    loss.backward()\n",
    "    opt_g.step()\n",
    "    \n",
    "    return loss.item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "0s6dPdXWAm6Z"
   },
   "outputs": [],
   "source": [
    "def fit(epochs, lr, start_idx=1):\n",
    "    torch.cuda.empty_cache()\n",
    "    \n",
    "    # Losses & scores\n",
    "    losses_g = []\n",
    "    losses_d = []\n",
    "    real_scores = []\n",
    "    fake_scores = []\n",
    "    \n",
    "    # Create optimizers\n",
    "    opt_d = torch.optim.Adam(discriminator.parameters(), lr=lr, betas=(0.5, 0.999))\n",
    "    opt_g = torch.optim.Adam(generator.parameters(), lr=lr, betas=(0.5, 0.999))\n",
    "    \n",
    "    for epoch in range(epochs):\n",
    "        loss_d_lst = []\n",
    "        loss_g_lst = []\n",
    "        real_score_lst = []\n",
    "        fake_score_lst = []\n",
    "        for real_images, _ in tqdm(train_dl):\n",
    "            # Train discriminator\n",
    "            loss_d, real_score, fake_score = train_discriminator(real_images, opt_d)\n",
    "            loss_d_lst.append(loss_d)\n",
    "            real_score_lst.append(real_score)\n",
    "            fake_score_lst.append(fake_score)\n",
    "            # Train generator\n",
    "            loss_g = train_generator(opt_g)\n",
    "            loss_g_lst.append(loss_g)\n",
    "            \n",
    "        # Record losses & scores\n",
    "        loss_g = statistics.mean(loss_g_lst)\n",
    "        loss_d = statistics.mean(loss_d_lst)\n",
    "        real_score = statistics.mean(real_score_lst)\n",
    "        fake_score = statistics.mean(fake_score_lst)\n",
    "\n",
    "        losses_g.append(loss_g)\n",
    "        losses_d.append(loss_d)\n",
    "        real_scores.append(real_score)\n",
    "        fake_scores.append(fake_score)\n",
    "        \n",
    "        # Log losses & scores (last batch)\n",
    "        print(\"Epoch [{}/{}], loss_g: {:.4f}, loss_d: {:.4f}, real_score: {:.4f}, fake_score: {:.4f}\".format(\n",
    "            epoch+1, epochs, loss_g, loss_d, real_score, fake_score))\n",
    "    \n",
    "        # # Save generated images\n",
    "        # save_samples(epoch+start_idx, fixed_latent, show=False)\n",
    "\n",
    "        #Show Samples\n",
    "        # latent = torch.randn(1, latent_size, 1, 1, device=device)\n",
    "        # fake_images = generator(latent)\n",
    "        # print(fake_images.size())\n",
    "        # fake_images = torch.squeeze(fake_images)\n",
    "        # print(fake_images.size())\n",
    "        # plt.imshow(fake_images.permute(1, 2, 0).cpu().detach().numpy())\n",
    "        # plt.show()\n",
    "    \n",
    "    return losses_g, losses_d, real_scores, fake_scores"
   ]
  },
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    "id": "LAuPDfVvDklF",
    "outputId": "3e20d7e7-e9e7-4384-8ebb-608a5a2875b5"
   },
   "outputs": [
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     "metadata": {},
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     "text": [
      "Epoch [1/100], loss_g: 7.9157, loss_d: 0.4416, real_score: 0.8517, fake_score: 0.1494\n"
     ]
    },
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(6):\n",
    "    latent = torch.randn(1, latent_size, 1, 1, device=device)\n",
    "    fake_images = generator(latent)\n",
    "    fake_images = torch.squeeze(fake_images)\n",
    "    fake_images = (fake_images + 1) / 2\n",
    "    plt.imshow(fake_images.permute(2, 1, 0).cpu().detach().numpy())\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "tX11oaaGG7Ad"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.4"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "0365a4ce303a48fb9ea37474583f3797": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "FloatProgressModel",
     "state": {
      "_dom_classes": [],
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "FloatProgressModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/controls",
      "_view_module_version": "1.5.0",
      "_view_name": "ProgressView",
      "bar_style": "success",
      "description": "",
      "description_tooltip": null,
      "layout": "IPY_MODEL_a141e790e2aa403785b4be490631775f",
      "max": 128,
      "min": 0,
      "orientation": "horizontal",
      "style": "IPY_MODEL_3f9af02a9a7047d1b5befbbc9c1ee122",
      "value": 128
     }
    },
    "05e6862b630b43099743a070f88094bd": {
     "model_module": "@jupyter-widgets/controls",
     "model_module_version": "1.5.0",
     "model_name": "DescriptionStyleModel",
     "state": {
      "_model_module": "@jupyter-widgets/controls",
      "_model_module_version": "1.5.0",
      "_model_name": "DescriptionStyleModel",
      "_view_count": null,
      "_view_module": "@jupyter-widgets/base",
      "_view_module_version": "1.2.0",
      "_view_name": "StyleView",
      "description_width": ""
     }
    },
    "0ae0fc0c1f2e4f8cbceb9d5df9e80f3d": {
     "model_module": "@jupyter-widgets/base",
     "model_module_version": "1.2.0",
     "model_name": "LayoutModel",
     "state": {
      "_model_module": "@jupyter-widgets/base",
      "_model_module_version": "1.2.0",
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