pyRBM/cifar_test.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "id": "d6cb560a-707c-4c1e-b50f-2b9c8037a3c7",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:33.856458772Z",
     "start_time": "2026-06-01T17:39:31.266375954Z"
    }
   },
   "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 compat.torch import Optimizer\n",
    "import math\n",
    "import random"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "cell_type": "code",
   "id": "4065302d-862f-4639-99d7-e396d055434c",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:33.904968163Z",
     "start_time": "2026-06-01T17:39:33.857593153Z"
    }
   },
   "source": [
    "transform = transforms.Compose([\n",
    "    transforms.ToTensor(),\n",
    "    transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))                            \n",
    "])                              "
   ],
   "outputs": [],
   "execution_count": 2
  },
  {
   "cell_type": "code",
   "id": "ffe48fc6-0f57-48a0-b5e9-aa68cbc8edf1",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:35.179539233Z",
     "start_time": "2026-06-01T17:39:33.906392919Z"
    }
   },
   "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)"
   ],
   "outputs": [],
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "id": "33501c0f-6d78-43e9-b2ce-adbe40b6d95a",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:35.238073071Z",
     "start_time": "2026-06-01T17:39:35.180582904Z"
    }
   },
   "source": [
    "print(train_data)"
   ],
   "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"
     ]
    }
   ],
   "execution_count": 4
  },
  {
   "cell_type": "code",
   "id": "aedf601a-9084-4047-98e8-481f4d41a2d9",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:37.239842641Z",
     "start_time": "2026-06-01T17:39:35.247815215Z"
    }
   },
   "source": [
    "N = 5000\n",
    "n_side = 10\n",
    "N_VIS = 3072\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"
   ],
   "outputs": [],
   "execution_count": 5
  },
  {
   "cell_type": "code",
   "id": "5ee865c3-2af4-487f-a184-1291f99839b1",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:37.574956034Z",
     "start_time": "2026-06-01T17:39:37.241011368Z"
    }
   },
   "source": [
    "image_indices = np.array(random.sample(range(min(N, n_side*n_side)), n_side*n_side))\n",
    "print(f\"len(train_images):{len(train_images)}\")\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"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "len(train_images):5000\n"
     ]
    }
   ],
   "execution_count": 6
  },
  {
   "cell_type": "code",
   "id": "b4310933-d850-4128-a2dd-27d88c004846",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:39.172969265Z",
     "start_time": "2026-06-01T17:39:37.576901979Z"
    }
   },
   "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_images[image_indices[index]]\n",
    "        img = (1+np.reshape(inp, (3, 32, 32)))/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()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 3000x3000 with 100 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 7
  },
  {
   "cell_type": "code",
   "id": "08143a53-12a1-4896-a4b2-166dedf0e021",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:39:39.194596625Z",
     "start_time": "2026-06-01T17:39:39.177480821Z"
    }
   },
   "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((3072, 200), EntityParams(do_gaussian_visible=True, do_gaussian_hidden=False), TrainingParams(learning_rate=0.005, momentum=0.9, num_epochs=1000, mini_batch_size=1000, weight_decay=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"
   ],
   "outputs": [],
   "execution_count": 8
  },
  {
   "cell_type": "code",
   "id": "6b3be9f6-38e1-442d-a7bd-1f3c164ec8d4",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [],
    "ExecuteTime": {
     "end_time": "2026-06-01T17:40:47.821662627Z",
     "start_time": "2026-06-01T17:39:39.196322219Z"
    }
   },
   "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(train_images)\n",
    "# save state\n",
    "model.save()"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 0%\n",
      "Entity-3072x200: err_rms              : 0.2541102937994406\n",
      "Entity-3072x200: l2_norm              : 0.024174341281485913\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 10%\n",
      "Entity-3072x200: err_rms              : 0.06635407861368535\n",
      "Entity-3072x200: l2_norm              : 2.3192755385110697\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 20%\n",
      "Entity-3072x200: err_rms              : 0.06097187709936713\n",
      "Entity-3072x200: l2_norm              : 3.1144125642656233\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 30%\n",
      "Entity-3072x200: err_rms              : 0.05931387383730886\n",
      "Entity-3072x200: l2_norm              : 3.430847521112783\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 40%\n",
      "Entity-3072x200: err_rms              : 0.05853244563938955\n",
      "Entity-3072x200: l2_norm              : 3.5877739680199676\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 50%\n",
      "Entity-3072x200: err_rms              : 0.05803562652932604\n",
      "Entity-3072x200: l2_norm              : 3.6786742248948707\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 60%\n",
      "Entity-3072x200: err_rms              : 0.05772415958242122\n",
      "Entity-3072x200: l2_norm              : 3.7343293957160792\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 70%\n",
      "Entity-3072x200: err_rms              : 0.05749520925703035\n",
      "Entity-3072x200: l2_norm              : 3.7695801659754604\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 80%\n",
      "Entity-3072x200: err_rms              : 0.057303607969140566\n",
      "Entity-3072x200: l2_norm              : 3.796484573426704\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 90%\n",
      "Entity-3072x200: err_rms              : 0.05717210018448185\n",
      "Entity-3072x200: l2_norm              : 3.815633488607796\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 100%\n",
      "Entity-3072x200: err_rms              : 0.05703341954237235\n",
      "Entity-3072x200: l2_norm              : 3.833724872236307\n",
      "-------------------------------------------\n",
      "Entity-3072x200: progress              : 100%\n",
      "Entity-3072x200: err_rms_total              : 0.05702366237948212\n",
      "Entity-3072x200: l2_norm              : 3.8328360678830236\n"
     ]
    }
   ],
   "execution_count": 9
  },
  {
   "cell_type": "code",
   "id": "d036b106-77a3-4993-bc2a-5fb164b8ec46",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-01T17:40:49.301289140Z",
     "start_time": "2026-06-01T17:40:47.823411009Z"
    }
   },
   "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_images[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, 32, 32))\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()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 3000x3000 with 100 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 10
  },
  {
   "cell_type": "code",
   "id": "9adce292-cae6-455c-9409-c57ae71a36d5",
   "metadata": {
    "scrolled": true,
    "ExecuteTime": {
     "end_time": "2026-06-01T17:40:50.857711850Z",
     "start_time": "2026-06-01T17:40:49.304336655Z"
    }
   },
   "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, 32, 32, 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()"
   ],
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3, 32, 32, 200)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 3000x3000 with 100 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data",
     "jetTransient": {
      "display_id": null
     }
    }
   ],
   "execution_count": 11
  },
  {
   "cell_type": "code",
   "id": "c976fed5-162c-4a70-8219-fc6c68c1fb66",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-01T17:40:50.868091711Z",
     "start_time": "2026-06-01T17:40:50.861061582Z"
    }
   },
   "source": [],
   "outputs": [],
   "execution_count": 11
  },
  {
   "cell_type": "code",
   "id": "661dfc9d-e58a-4994-a5fa-c377d7f743e5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-01T17:40:50.914541632Z",
     "start_time": "2026-06-01T17:40:50.869300328Z"
    }
   },
   "source": [],
   "outputs": [],
   "execution_count": 11
  },
  {
   "cell_type": "code",
   "id": "df88dced-1e66-4f7d-a744-0f3f4f5dd271",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2026-06-01T17:40:50.961552029Z",
     "start_time": "2026-06-01T17:40:50.915452120Z"
    }
   },
   "source": [],
   "outputs": [],
   "execution_count": 11
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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