pyRBM/cifar_test_sub_image.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d6cb560a-707c-4c1e-b50f-2b9c8037a3c7",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "import matplotlib.pyplot as plt\n",
    "from rbm.model import Model\n",
    "from rbm.entity import Entity, EntityParams, TrainingParams\n",
    "from rbm.matrix import Mat, np, rms_error_accu, sample_gaussian\n",
    "from rbm.torch import Optimizer\n",
    "from rbm.image import SubImage, normalize\n",
    "import math\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4065302d-862f-4639-99d7-e396d055434c",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "transform = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))                            \n",
    "])                              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ffe48fc6-0f57-48a0-b5e9-aa68cbc8edf1",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train_data = torchvision.datasets.CIFAR10(root='./data', train=True, transform=transform, download=True)\n",
    "test_data = torchvision.datasets.CIFAR10(root='./data', train=False, transform=transform, download=True)\n",
    "\n",
    "train_loader = torch.utils.data.DataLoader(train_data, batch_size=32, shuffle=True, num_workers=2)\n",
    "test_loader = torch.utils.data.DataLoader(test_data, batch_size=32, shuffle=True, num_workers=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "33501c0f-6d78-43e9-b2ce-adbe40b6d95a",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset CIFAR10\n",
      "    Number of datapoints: 50000\n",
      "    Root location: ./data\n",
      "    Split: Train\n",
      "    StandardTransform\n",
      "Transform: Compose(\n",
      "               ToTensor()\n",
      "               Normalize(mean=(0.5, 0.5, 0.5), std=(0.5, 0.5, 0.5))\n",
      "           )\n"
     ]
    }
   ],
   "source": [
    "print(train_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "aedf601a-9084-4047-98e8-481f4d41a2d9",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([3, 32, 32])\n"
     ]
    }
   ],
   "source": [
    "N = 500\n",
    "n_side = 10\n",
    "N_VIS = 3072\n",
    "n_sub = 8\n",
    "px = 8\n",
    "py = 8\n",
    "\n",
    "image, label = train_data[0]\n",
    "size = len(torch.flatten(image))\n",
    "train_images = np.zeros(shape=(N, size))\n",
    "train_images_tensor = torch.Tensor(N, size)\n",
    "for i in range(N):\n",
    "    image, label = train_data[i]\n",
    "    flat_array = torch.flatten(image)\n",
    "    train_images[i, :] = np.asarray(flat_array.numpy())\n",
    "    train_images_tensor[i, :] = flat_array\n",
    "print(image.shape)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "5ee865c3-2af4-487f-a184-1291f99839b1",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_images.shape:(500, 3072)\n",
      "(8000, 3, 8, 8)\n",
      "(8000, 192)\n"
     ]
    }
   ],
   "source": [
    "image_indices = np.array(random.sample(range(min(N, n_side*n_side)), n_side*n_side))\n",
    "print(f\"train_images.shape:{train_images.shape}\")\n",
    "mean_training_batch = np.reshape(np.repeat(np.mean(train_images, axis=1), N_VIS, axis=0), train_images.shape)\n",
    "var_training_batch = np.reshape(np.repeat(np.std(train_images, axis=1), N_VIS, axis=0), train_images.shape)\n",
    "#print(f\"mean_training_batch:{mean_training_batch}\")\n",
    "#print(f\"var_training_batch:{var_training_batch}\")\n",
    "train_images_norm = (train_images - mean_training_batch) / var_training_batch\n",
    "sub_generator = SubImage(n_sub,n_sub,px,py)\n",
    "train_subimages = sub_generator(np.reshape(train_images, (N, 3, 32, 32)))\n",
    "print(train_subimages.shape)\n",
    "train_subimages = np.reshape(train_subimages, (train_subimages.shape[0], 3*n_sub*n_sub))\n",
    "print(train_subimages.shape)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "b4310933-d850-4128-a2dd-27d88c004846",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3000x3000 with 100 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(n_side, n_side, figsize=(30,30))\n",
    "index = 0             \n",
    "for x in range(n_side):\n",
    "    for y in range(n_side):\n",
    "        inp = train_subimages[image_indices[index]]\n",
    "        img = (1+np.reshape(inp, (3, n_sub, n_sub)))/2\n",
    "        img = img.transpose((1,2,0))\n",
    "        axes[x,y].imshow(np.asnumpy(img))\n",
    "        axes[x,y].axis('off')\n",
    "        index += 1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "08143a53-12a1-4896-a4b2-166dedf0e021",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "class TestModel(Model):\n",
    "    def __init__(self, name: str, work_dir: str = '.'):\n",
    "        super().__init__(name, work_dir)\n",
    "        #self.unit1 = Entity((3072, 125), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=True), TrainingParams(learning_rate=0.0001, momentum=0.9, num_epochs=1000, mini_batch_size=0, weight_decay=0.0, l2_lambda=0.0))\n",
    "        self.unit1 = Entity((3*n_sub*n_sub, 125), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=False), TrainingParams(learning_rate=0.0005, momentum=0.9, num_epochs=1000, mini_batch_size=1000, weight_decay=0.0, l1_lambda=0.02))\n",
    "    \n",
    "    def forward(self, x: Mat):\n",
    "        x = self.unit1.forward(x)\n",
    "        return x\n",
    "    \n",
    "    def backward(self, x: Mat):\n",
    "        x = self.unit1.reconstruct(x)\n",
    "        return x\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b3be9f6-38e1-442d-a7bd-1f3c164ec8d4",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "results/cifar_test-0-state.npz loaded successfully!\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 0%\n",
      "Entity-192x125: err_rms              : 0.03761218365025857\n",
      "Entity-192x125: l2_norm              : 1.0957686266619098\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 10%\n",
      "Entity-192x125: err_rms              : 0.03761839952082784\n",
      "Entity-192x125: l2_norm              : 1.0962939908116305\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 20%\n",
      "Entity-192x125: err_rms              : 0.03762991896149395\n",
      "Entity-192x125: l2_norm              : 1.096556785156212\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 30%\n",
      "Entity-192x125: err_rms              : 0.03764049099242276\n",
      "Entity-192x125: l2_norm              : 1.0969526536153258\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 40%\n",
      "Entity-192x125: err_rms              : 0.037645159488575726\n",
      "Entity-192x125: l2_norm              : 1.0974840834862103\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 50%\n",
      "Entity-192x125: err_rms              : 0.037652676377897855\n",
      "Entity-192x125: l2_norm              : 1.0980245455361328\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 60%\n",
      "Entity-192x125: err_rms              : 0.03766749328656913\n",
      "Entity-192x125: l2_norm              : 1.0983420087577682\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 70%\n",
      "Entity-192x125: err_rms              : 0.03767622337534497\n",
      "Entity-192x125: l2_norm              : 1.0987286548378843\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 80%\n",
      "Entity-192x125: err_rms              : 0.03768853411375088\n",
      "Entity-192x125: l2_norm              : 1.0992280092439928\n",
      "-------------------------------------------\n",
      "Entity-192x125: progress              : 90%\n",
      "Entity-192x125: err_rms              : 0.03769885558969943\n",
      "Entity-192x125: l2_norm              : 1.099600171519957\n"
     ]
    }
   ],
   "source": [
    "work_dir = \"results\"\n",
    "prj_name = \"cifar_test\"\n",
    "prj_root = \"/home/jens/work/repos/Rbm\"\n",
    "\n",
    "# Create model\n",
    "model = TestModel(prj_name, \"results\")\n",
    "\n",
    "# Init state\n",
    "model.init(0.01)\n",
    "\n",
    "# load state\n",
    "model.load()\n",
    "\n",
    "# Train\n",
    "#model.train(normalize(train_subimages))\n",
    "model.train(train_subimages)\n",
    "\n",
    "# save state\n",
    "model.save()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "d036b106-77a3-4993-bc2a-5fb164b8ec46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3000x3000 with 100 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot reconstructions\n",
    "fig, axes = plt.subplots(n_side, n_side, figsize=(30,30))\n",
    "index = 0             \n",
    "for x in range(n_side):\n",
    "    for y in range(n_side):\n",
    "        inp = train_subimages[image_indices[index]]\n",
    "        recon = model.backward(model.forward(inp))\n",
    "        recon -= np.min(recon)\n",
    "        recon = recon / np.max(recon)\n",
    "        img = np.reshape(recon, (3, n_sub, n_sub))\n",
    "        img = img.transpose((1,2,0))\n",
    "        axes[x,y].imshow(np.asnumpy(img))\n",
    "        axes[x,y].axis('off')\n",
    "        index += 1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "9adce292-cae6-455c-9409-c57ae71a36d5",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 8, 8, 125)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 3000x3000 with 100 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot weights\n",
    "weights = model.unit1.state.w_hv\n",
    "n, n_hid = weights.shape\n",
    "weight_indices = np.array(random.sample(range(n_hid), n_side*n_side))\n",
    "w = np.reshape(weights, (3, n_sub, n_sub, n_hid))\n",
    "print(w.shape)\n",
    "fig, axes = plt.subplots(n_side, n_side, figsize=(30,30))\n",
    "\n",
    "index = 0\n",
    "for x in range(n_side):\n",
    "    for y in range(n_side):\n",
    "        inp = np.asnumpy(w[:,:,:, weight_indices[index]])\n",
    "        inp -= np.min(inp)\n",
    "        inp = inp / np.max(inp)\n",
    "        img = inp.transpose((1,2,0))\n",
    "        axes[x,y].imshow(np.asnumpy(img))\n",
    "        axes[x,y].axis('off')\n",
    "        index += 1\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c976fed5-162c-4a70-8219-fc6c68c1fb66",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "661dfc9d-e58a-4994-a5fa-c377d7f743e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1a67046-17e4-4924-8067-da23481eb6d3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}