[404218]: / Code / PennyLane / Algorithm, Learning Rate Studies / HRyERyT1 / 0.00052 lr 25e RN50 B6 296.7% kkawchak.ipynb

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{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "tvTsxVFhcEu4"
      },
      "outputs": [],
      "source": [
        "# This cell is added by sphinx-gallery\n",
        "# It can be customized to whatever you like\n",
        "%matplotlib inline\n",
        "# from google.colab import drive\n",
        "# drive.mount('/content/drive')\n",
        "# !pip install pennylane"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "YzU1v9emcEu6"
      },
      "outputs": [],
      "source": [
        "# Some parts of this code are based on the Python script:\n",
        "# https://github.com/pytorch/tutorials/blob/master/beginner_source/transfer_learning_tutorial.py\n",
        "# License: BSD\n",
        "\n",
        "import time\n",
        "import os\n",
        "import copy\n",
        "\n",
        "# PyTorch\n",
        "import torch\n",
        "import torch.nn as nn\n",
        "import torch.optim as optim\n",
        "from torch.optim import lr_scheduler\n",
        "import torchvision\n",
        "from torchvision import datasets, transforms\n",
        "\n",
        "# Pennylane\n",
        "import pennylane as qml\n",
        "from pennylane import numpy as np\n",
        "\n",
        "torch.manual_seed(42)\n",
        "np.random.seed(42)\n",
        "\n",
        "# Plotting\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# OpenMP: number of parallel threads.\n",
        "os.environ[\"OMP_NUM_THREADS\"] = \"1\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NMuS6xLqcEu6"
      },
      "source": [
        "Setting of the main hyper-parameters of the model\n",
        "=================================================\n",
        "\n",
        "::: {.note}\n",
        "::: {.title}\n",
        "Note\n",
        ":::\n",
        "\n",
        "To reproduce the results of Ref. \\[1\\], `num_epochs` should be set to\n",
        "`30` which may take a long time. We suggest to first try with\n",
        "`num_epochs=1` and, if everything runs smoothly, increase it to a larger\n",
        "value.\n",
        ":::\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "id": "mwV5eRZ2cEu7"
      },
      "outputs": [],
      "source": [
        "n_qubits = 4                # Number of qubits\n",
        "step = 0.00052              # Learning rate\n",
        "batch_size = 6              # Number of samples for each training step\n",
        "num_epochs = 25             # Number of training epochs\n",
        "q_depth = 1                 # Depth of the quantum circuit (number of variational layers)\n",
        "gamma_lr_scheduler = 0.1    # Learning rate reduction applied every 10 epochs.\n",
        "q_delta = 0.01              # Initial spread of random quantum weights\n",
        "start_time = time.time()    # Start of the computation timer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_1o4Rd7xcEu7"
      },
      "source": [
        "We initialize a PennyLane device with a `default.qubit` backend.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "VrhtaB9JcEu7"
      },
      "outputs": [],
      "source": [
        "dev = qml.device(\"default.qubit\", wires=n_qubits)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mV03xQP_cEu7"
      },
      "source": [
        "We configure PyTorch to use CUDA only if available. Otherwise the CPU is\n",
        "used.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "id": "8wyZgRPFcEu7"
      },
      "outputs": [],
      "source": [
        "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KanGTiTWcEu7"
      },
      "source": [
        "Dataset loading\n",
        "===============\n",
        "\n",
        "::: {.note}\n",
        "::: {.title}\n",
        "Note\n",
        ":::\n",
        "\n",
        "The dataset containing images of *ants* and *bees* can be downloaded\n",
        "[here](https://download.pytorch.org/tutorial/hymenoptera_data.zip) and\n",
        "should be extracted in the subfolder `../_data/hymenoptera_data`.\n",
        ":::\n",
        "\n",
        "This is a very small dataset (roughly 250 images), too small for\n",
        "training from scratch a classical or quantum model, however it is enough\n",
        "when using *transfer learning* approach.\n",
        "\n",
        "The PyTorch packages `torchvision` and `torch.utils.data` are used for\n",
        "loading the dataset and performing standard preliminary image\n",
        "operations: resize, center, crop, normalize, *etc.*\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "MTp-0NbLcEu7"
      },
      "outputs": [],
      "source": [
        "data_transforms = {\n",
        "    \"train\": transforms.Compose(\n",
        "        [\n",
        "            # transforms.RandomResizedCrop(224),     # uncomment for data augmentation\n",
        "            # transforms.RandomHorizontalFlip(),     # uncomment for data augmentation\n",
        "            transforms.Resize(256),\n",
        "            transforms.CenterCrop(224),\n",
        "            transforms.ToTensor(),\n",
        "            # Normalize input channels using mean values and standard deviations of ImageNet.\n",
        "            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
        "        ]\n",
        "    ),\n",
        "    \"val\": transforms.Compose(\n",
        "        [\n",
        "            transforms.Resize(256),\n",
        "            transforms.CenterCrop(224),\n",
        "            transforms.ToTensor(),\n",
        "            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
        "        ]\n",
        "    ),\n",
        "}\n",
        "\n",
        "data_dir = \"/content/drive/MyDrive/Colab Notebooks/data/hymenoptera_data\"\n",
        "image_datasets = {\n",
        "    x if x == \"train\" else \"validation\": datasets.ImageFolder(\n",
        "        os.path.join(data_dir, x), data_transforms[x]\n",
        "    )\n",
        "    for x in [\"train\", \"val\"]\n",
        "}\n",
        "dataset_sizes = {x: len(image_datasets[x]) for x in [\"train\", \"validation\"]}\n",
        "class_names = image_datasets[\"train\"].classes\n",
        "\n",
        "# Initialize dataloader\n",
        "dataloaders = {\n",
        "    x: torch.utils.data.DataLoader(image_datasets[x], batch_size=batch_size, shuffle=True)\n",
        "    for x in [\"train\", \"validation\"]\n",
        "}\n",
        "\n",
        "# function to plot images\n",
        "def imshow(inp, title=None):\n",
        "    \"\"\"Display image from tensor.\"\"\"\n",
        "    inp = inp.numpy().transpose((1, 2, 0))\n",
        "    # Inverse of the initial normalization operation.\n",
        "    mean = np.array([0.485, 0.456, 0.406])\n",
        "    std = np.array([0.229, 0.224, 0.225])\n",
        "    inp = std * inp + mean\n",
        "    inp = np.clip(inp, 0, 1)\n",
        "    plt.imshow(inp)\n",
        "    if title is not None:\n",
        "        plt.title(title)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kUCmDIHEcEu7"
      },
      "source": [
        "Let us show a batch of the test data, just to have an idea of the\n",
        "classification problem.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 166
        },
        "id": "y_nK-SxNcEu7",
        "outputId": "d55c0251-98d5-444a-9abe-7201124d3e3f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Get a batch of training data\n",
        "inputs, classes = next(iter(dataloaders[\"validation\"]))\n",
        "\n",
        "# Make a grid from batch\n",
        "out = torchvision.utils.make_grid(inputs)\n",
        "\n",
        "imshow(out, title=[class_names[x] for x in classes])\n",
        "\n",
        "dataloaders = {\n",
        "    x: torch.utils.data.DataLoader(image_datasets[x], batch_size=batch_size, shuffle=True)\n",
        "    for x in [\"train\", \"validation\"]\n",
        "}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xAyxAXAicEu8"
      },
      "source": [
        "Variational quantum circuit\n",
        "===========================\n",
        "\n",
        "We first define some quantum layers that will compose the quantum\n",
        "circuit.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "id": "CRFFQeBucEu8"
      },
      "outputs": [],
      "source": [
        "def H_layer(nqubits):\n",
        "    \"\"\"Layer of single-qubit Hadamard gates.\n",
        "    \"\"\"\n",
        "    for idx in range(nqubits):\n",
        "        qml.Hadamard(wires=idx)\n",
        "\n",
        "\n",
        "def RY_layer(w):\n",
        "    \"\"\"Layer of parametrized qubit rotations around the y axis.\n",
        "    \"\"\"\n",
        "    for idx, element in enumerate(w):\n",
        "        qml.RY(element, wires=idx)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gFSYAOD4cEu8"
      },
      "source": [
        "Now we define the quantum circuit through the PennyLane\n",
        "[qnode]{.title-ref} decorator .\n",
        "\n",
        "The structure is that of a typical variational quantum circuit:\n",
        "\n",
        "-   **Embedding layer:** All qubits are first initialized in a balanced\n",
        "    superposition of *up* and *down* states, then they are rotated\n",
        "    according to the input parameters (local embedding).\n",
        "-   **Variational layers:** A sequence of trainable rotation layers and\n",
        "    constant entangling layers is applied.\n",
        "-   **Measurement layer:** For each qubit, the local expectation value\n",
        "    of the $Z$ operator is measured. This produces a classical output\n",
        "    vector, suitable for additional post-processing.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "tnveQZD0cEu8"
      },
      "outputs": [],
      "source": [
        "@qml.qnode(dev, interface=\"torch\")\n",
        "def quantum_net(q_input_features, q_weights_flat):\n",
        "    \"\"\"\n",
        "    The variational quantum circuit.\n",
        "    \"\"\"\n",
        "\n",
        "    # Reshape weights\n",
        "    q_weights = q_weights_flat.reshape(q_depth, n_qubits)\n",
        "\n",
        "    # Start from state |+> , unbiased w.r.t. |0> and |1>\n",
        "    H_layer(n_qubits)\n",
        "\n",
        "    # Embed features in the quantum node\n",
        "    RY_layer(q_input_features)\n",
        "\n",
        "    # Sequence of trainable variational layers\n",
        "    for k in range(q_depth):\n",
        "        RY_layer(q_weights[k])\n",
        "\n",
        "    # Expectation values in the Z basis\n",
        "    exp_vals = [qml.expval(qml.PauliZ(position)) for position in range(n_qubits)]\n",
        "    return tuple(exp_vals)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "octf05h1cEu8"
      },
      "source": [
        "Dressed quantum circuit\n",
        "=======================\n",
        "\n",
        "We can now define a custom `torch.nn.Module` representing a *dressed*\n",
        "quantum circuit.\n",
        "\n",
        "This is a concatenation of:\n",
        "\n",
        "-   A classical pre-processing layer (`nn.Linear`).\n",
        "-   A classical activation function (`torch.tanh`).\n",
        "-   A constant `np.pi/2.0` scaling.\n",
        "-   The previously defined quantum circuit (`quantum_net`).\n",
        "-   A classical post-processing layer (`nn.Linear`).\n",
        "\n",
        "The input of the module is a batch of vectors with 512 real parameters\n",
        "(features) and the output is a batch of vectors with two real outputs\n",
        "(associated with the two classes of images: *ants* and *bees*).\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "R_1TsI-zcEu8"
      },
      "outputs": [],
      "source": [
        "class DressedQuantumNet(nn.Module):\n",
        "    \"\"\"\n",
        "    Torch module implementing the *dressed* quantum net.\n",
        "    \"\"\"\n",
        "\n",
        "    def __init__(self):\n",
        "        \"\"\"\n",
        "        Definition of the *dressed* layout.\n",
        "        \"\"\"\n",
        "\n",
        "        super().__init__()\n",
        "        self.pre_net = nn.Linear(2048, n_qubits)\n",
        "        self.q_params = nn.Parameter(q_delta * torch.randn(q_depth * n_qubits))\n",
        "        self.post_net = nn.Linear(n_qubits, 2)\n",
        "\n",
        "    def forward(self, input_features):\n",
        "        \"\"\"\n",
        "        Defining how tensors are supposed to move through the *dressed* quantum\n",
        "        net.\n",
        "        \"\"\"\n",
        "\n",
        "        # obtain the input features for the quantum circuit\n",
        "        # by reducing the feature dimension from 512 to 4\n",
        "        pre_out = self.pre_net(input_features)\n",
        "        q_in = torch.tanh(pre_out) * np.pi / 2.0\n",
        "\n",
        "        # Apply the quantum circuit to each element of the batch and append to q_out\n",
        "        q_out = torch.Tensor(0, n_qubits)\n",
        "        q_out = q_out.to(device)\n",
        "        for elem in q_in:\n",
        "            q_out_elem = torch.hstack(quantum_net(elem, self.q_params)).float().unsqueeze(0)\n",
        "            q_out = torch.cat((q_out, q_out_elem))\n",
        "\n",
        "        # return the two-dimensional prediction from the postprocessing layer\n",
        "        return self.post_net(q_out)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z4jMByjkcEu8"
      },
      "source": [
        "Hybrid classical-quantum model\n",
        "==============================\n",
        "\n",
        "We are finally ready to build our full hybrid classical-quantum network.\n",
        "We follow the *transfer learning* approach:\n",
        "\n",
        "1.  First load the classical pre-trained network *ResNet18* from the\n",
        "    `torchvision.models` zoo.\n",
        "2.  Freeze all the weights since they should not be trained.\n",
        "3.  Replace the last fully connected layer with our trainable dressed\n",
        "    quantum circuit (`DressedQuantumNet`).\n",
        "\n",
        "::: {.note}\n",
        "::: {.title}\n",
        "Note\n",
        ":::\n",
        "\n",
        "The *ResNet18* model is automatically downloaded by PyTorch and it may\n",
        "take several minutes (only the first time).\n",
        ":::\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "id": "-rTgki5ycEu8"
      },
      "outputs": [],
      "source": [
        "model_hybrid = torchvision.models.resnet50(pretrained=True)\n",
        "\n",
        "for param in model_hybrid.parameters():\n",
        "    param.requires_grad = False\n",
        "\n",
        "\n",
        "# Notice that model_hybrid.fc is the last layer of ResNet18\n",
        "model_hybrid.fc = DressedQuantumNet()\n",
        "\n",
        "# Use CUDA or CPU according to the \"device\" object.\n",
        "model_hybrid = model_hybrid.to(device)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1gJgwg6GcEu8"
      },
      "source": [
        "Training and results\n",
        "====================\n",
        "\n",
        "Before training the network we need to specify the *loss* function.\n",
        "\n",
        "We use, as usual in classification problem, the *cross-entropy* which is\n",
        "directly available within `torch.nn`.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "id": "qPT5EdxxcEu8"
      },
      "outputs": [],
      "source": [
        "criterion = nn.CrossEntropyLoss()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GepjtiALcEu8"
      },
      "source": [
        "We also initialize the *Adam optimizer* which is called at each training\n",
        "step in order to update the weights of the model.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "Iox9dWlOcEu8"
      },
      "outputs": [],
      "source": [
        "optimizer_hybrid = optim.Adam(model_hybrid.fc.parameters(), lr=step)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sbLNf2wccEu8"
      },
      "source": [
        "We schedule to reduce the learning rate by a factor of\n",
        "`gamma_lr_scheduler` every 10 epochs.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "id": "xJcZ5B3JcEu8"
      },
      "outputs": [],
      "source": [
        "exp_lr_scheduler = lr_scheduler.StepLR(\n",
        "    optimizer_hybrid, step_size=10, gamma=gamma_lr_scheduler\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gogMl00McEu8"
      },
      "source": [
        "What follows is a training function that will be called later. This\n",
        "function should return a trained model that can be used to make\n",
        "predictions (classifications).\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "id": "BCfFACd6cEu9"
      },
      "outputs": [],
      "source": [
        "def train_model(model, criterion, optimizer, scheduler, num_epochs):\n",
        "    since = time.time()\n",
        "    best_model_wts = copy.deepcopy(model.state_dict())\n",
        "    best_acc = 0.0\n",
        "    best_loss = 10000.0  # Large arbitrary number\n",
        "    best_acc_train = 0.0\n",
        "    best_loss_train = 10000.0  # Large arbitrary number\n",
        "    print(\"Training started:\")\n",
        "\n",
        "    for epoch in range(num_epochs):\n",
        "\n",
        "        # Each epoch has a training and validation phase\n",
        "        for phase in [\"train\", \"validation\"]:\n",
        "            if phase == \"train\":\n",
        "                # Set model to training mode\n",
        "                model.train()\n",
        "            else:\n",
        "                # Set model to evaluate mode\n",
        "                model.eval()\n",
        "            running_loss = 0.0\n",
        "            running_corrects = 0\n",
        "\n",
        "            # Iterate over data.\n",
        "            n_batches = dataset_sizes[phase] // batch_size\n",
        "            it = 0\n",
        "            for inputs, labels in dataloaders[phase]:\n",
        "                since_batch = time.time()\n",
        "                batch_size_ = len(inputs)\n",
        "                inputs = inputs.to(device)\n",
        "                labels = labels.to(device)\n",
        "                optimizer.zero_grad()\n",
        "\n",
        "                # Track/compute gradient and make an optimization step only when training\n",
        "                with torch.set_grad_enabled(phase == \"train\"):\n",
        "                    outputs = model(inputs)\n",
        "                    _, preds = torch.max(outputs, 1)\n",
        "                    loss = criterion(outputs, labels)\n",
        "                    if phase == \"train\":\n",
        "                        loss.backward()\n",
        "                        optimizer.step()\n",
        "\n",
        "                # Print iteration results\n",
        "                running_loss += loss.item() * batch_size_\n",
        "                batch_corrects = torch.sum(preds == labels.data).item()\n",
        "                running_corrects += batch_corrects\n",
        "                print(\n",
        "                    \"Phase: {} Epoch: {}/{} Iter: {}/{} Batch time: {:.4f}\".format(\n",
        "                        phase,\n",
        "                        epoch + 1,\n",
        "                        num_epochs,\n",
        "                        it + 1,\n",
        "                        n_batches + 1,\n",
        "                        time.time() - since_batch,\n",
        "                    ),\n",
        "                    end=\"\\r\",\n",
        "                    flush=True,\n",
        "                )\n",
        "                it += 1\n",
        "\n",
        "            # Print epoch results\n",
        "            epoch_loss = running_loss / dataset_sizes[phase]\n",
        "            epoch_acc = running_corrects / dataset_sizes[phase]\n",
        "            print(\n",
        "                \"Phase: {} Epoch: {}/{} Loss: {:.4f} Acc: {:.4f}        \".format(\n",
        "                    \"train\" if phase == \"train\" else \"validation  \",\n",
        "                    epoch + 1,\n",
        "                    num_epochs,\n",
        "                    epoch_loss,\n",
        "                    epoch_acc,\n",
        "                )\n",
        "            )\n",
        "\n",
        "            # Check if this is the best model wrt previous epochs\n",
        "            if phase == \"validation\" and epoch_acc > best_acc:\n",
        "                best_acc = epoch_acc\n",
        "                best_model_wts = copy.deepcopy(model.state_dict())\n",
        "            if phase == \"validation\" and epoch_loss < best_loss:\n",
        "                best_loss = epoch_loss\n",
        "            if phase == \"train\" and epoch_acc > best_acc_train:\n",
        "                best_acc_train = epoch_acc\n",
        "            if phase == \"train\" and epoch_loss < best_loss_train:\n",
        "                best_loss_train = epoch_loss\n",
        "\n",
        "            # Update learning rate\n",
        "            if phase == \"train\":\n",
        "                scheduler.step()\n",
        "\n",
        "    # Print final results\n",
        "    model.load_state_dict(best_model_wts)\n",
        "    time_elapsed = time.time() - since\n",
        "    print(\n",
        "        \"Training completed in {:.0f}m {:.0f}s\".format(time_elapsed // 60, time_elapsed % 60)\n",
        "    )\n",
        "    print(\"Best test loss: {:.4f} | Best test accuracy: {:.4f}\".format(best_loss, best_acc))\n",
        "    return model"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XpEBNYtocEu9"
      },
      "source": [
        "We are ready to perform the actual training process.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "voQ2Yb7QcEu9",
        "outputId": "399af308-1c55-47c8-ccd7-0312ec261fd9"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training started:\n",
            "Phase: train Epoch: 1/25 Loss: 0.4987 Acc: 0.7828        \n",
            "Phase: validation   Epoch: 1/25 Loss: 0.3381 Acc: 0.9020        \n",
            "Phase: train Epoch: 2/25 Loss: 0.3983 Acc: 0.8402        \n",
            "Phase: validation   Epoch: 2/25 Loss: 0.2621 Acc: 0.9673        \n",
            "Phase: train Epoch: 3/25 Loss: 0.3487 Acc: 0.8566        \n",
            "Phase: validation   Epoch: 3/25 Loss: 0.2409 Acc: 0.9608        \n",
            "Phase: train Epoch: 4/25 Loss: 0.3347 Acc: 0.8811        \n",
            "Phase: validation   Epoch: 4/25 Loss: 0.2245 Acc: 0.9542        \n",
            "Phase: train Epoch: 5/25 Loss: 0.3997 Acc: 0.8320        \n",
            "Phase: validation   Epoch: 5/25 Loss: 0.2707 Acc: 0.9150        \n",
            "Phase: train Epoch: 6/25 Loss: 0.3913 Acc: 0.8156        \n",
            "Phase: validation   Epoch: 6/25 Loss: 0.2121 Acc: 0.9673        \n",
            "Phase: train Epoch: 7/25 Loss: 0.2309 Acc: 0.9467        \n",
            "Phase: validation   Epoch: 7/25 Loss: 0.1950 Acc: 0.9673        \n",
            "Phase: train Epoch: 8/25 Loss: 0.2994 Acc: 0.8770        \n",
            "Phase: validation   Epoch: 8/25 Loss: 0.1921 Acc: 0.9608        \n",
            "Phase: train Epoch: 9/25 Loss: 0.2081 Acc: 0.9344        \n",
            "Phase: validation   Epoch: 9/25 Loss: 0.2263 Acc: 0.9216        \n",
            "Phase: train Epoch: 10/25 Loss: 0.3267 Acc: 0.8525        \n",
            "Phase: validation   Epoch: 10/25 Loss: 0.2998 Acc: 0.8889        \n",
            "Phase: train Epoch: 11/25 Loss: 0.2317 Acc: 0.9426        \n",
            "Phase: validation   Epoch: 11/25 Loss: 0.2016 Acc: 0.9477        \n",
            "Phase: train Epoch: 12/25 Loss: 0.2169 Acc: 0.9385        \n",
            "Phase: validation   Epoch: 12/25 Loss: 0.1980 Acc: 0.9477        \n",
            "Phase: train Epoch: 13/25 Loss: 0.1732 Acc: 0.9590        \n",
            "Phase: validation   Epoch: 13/25 Loss: 0.1899 Acc: 0.9477        \n",
            "Phase: train Epoch: 14/25 Loss: 0.2116 Acc: 0.9303        \n",
            "Phase: validation   Epoch: 14/25 Loss: 0.1957 Acc: 0.9542        \n",
            "Phase: train Epoch: 15/25 Loss: 0.1797 Acc: 0.9672        \n",
            "Phase: validation   Epoch: 15/25 Loss: 0.1822 Acc: 0.9542        \n",
            "Phase: train Epoch: 16/25 Loss: 0.2226 Acc: 0.9180        \n",
            "Phase: validation   Epoch: 16/25 Loss: 0.1884 Acc: 0.9477        \n",
            "Phase: train Epoch: 17/25 Loss: 0.2308 Acc: 0.9262        \n",
            "Phase: validation   Epoch: 17/25 Loss: 0.1771 Acc: 0.9608        \n",
            "Phase: train Epoch: 18/25 Loss: 0.1982 Acc: 0.9508        \n",
            "Phase: validation   Epoch: 18/25 Loss: 0.1848 Acc: 0.9608        \n",
            "Phase: train Epoch: 19/25 Loss: 0.1725 Acc: 0.9590        \n",
            "Phase: validation   Epoch: 19/25 Loss: 0.1740 Acc: 0.9542        \n",
            "Phase: train Epoch: 20/25 Loss: 0.2167 Acc: 0.9344        \n",
            "Phase: validation   Epoch: 20/25 Loss: 0.1793 Acc: 0.9542        \n",
            "Phase: train Epoch: 21/25 Loss: 0.2033 Acc: 0.9344        \n",
            "Phase: validation   Epoch: 21/25 Loss: 0.1689 Acc: 0.9608        \n",
            "Phase: train Epoch: 22/25 Loss: 0.1773 Acc: 0.9549        \n",
            "Phase: validation   Epoch: 22/25 Loss: 0.1824 Acc: 0.9608        \n",
            "Phase: train Epoch: 23/25 Loss: 0.2422 Acc: 0.9139        \n",
            "Phase: validation   Epoch: 23/25 Loss: 0.1823 Acc: 0.9542        \n",
            "Phase: train Epoch: 24/25 Loss: 0.2031 Acc: 0.9385        \n",
            "Phase: validation   Epoch: 24/25 Loss: 0.1762 Acc: 0.9608        \n",
            "Phase: train Epoch: 25/25 Loss: 0.1639 Acc: 0.9590        \n",
            "Phase: validation   Epoch: 25/25 Loss: 0.1877 Acc: 0.9477        \n",
            "Training completed in 4m 52s\n",
            "Best test loss: 0.1689 | Best test accuracy: 0.9673\n"
          ]
        }
      ],
      "source": [
        "model_hybrid = train_model(\n",
        "    model_hybrid, criterion, optimizer_hybrid, exp_lr_scheduler, num_epochs=num_epochs\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OitpTjhacEu9"
      },
      "source": [
        "Visualizing the model predictions\n",
        "=================================\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OGIiHKWHcEu9"
      },
      "source": [
        "We first define a visualization function for a batch of test data.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "id": "lW9ytOLBcEu9"
      },
      "outputs": [],
      "source": [
        "def visualize_model(model, num_images=6, fig_name=\"Predictions\"):\n",
        "    images_so_far = 0\n",
        "    _fig = plt.figure(fig_name)\n",
        "    model.eval()\n",
        "    with torch.no_grad():\n",
        "        for _i, (inputs, labels) in enumerate(dataloaders[\"validation\"]):\n",
        "            inputs = inputs.to(device)\n",
        "            labels = labels.to(device)\n",
        "            outputs = model(inputs)\n",
        "            _, preds = torch.max(outputs, 1)\n",
        "            for j in range(inputs.size()[0]):\n",
        "                images_so_far += 1\n",
        "                ax = plt.subplot(num_images // 2, 2, images_so_far)\n",
        "                ax.axis(\"off\")\n",
        "                ax.set_title(\"[{}]\".format(class_names[preds[j]]))\n",
        "                imshow(inputs.cpu().data[j])\n",
        "                if images_so_far == num_images:\n",
        "                    return"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "837ToUo2cEu9"
      },
      "source": [
        "Finally, we can run the previous function to see a batch of images with\n",
        "the corresponding predictions.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "dMVtD1GScEu9",
        "outputId": "4e4bf788-91e3-48d6-d1f7-a4a3f357d975"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "visualize_model(model_hybrid, num_images=batch_size)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HywUAsp3cEu9"
      },
      "source": [
        "References\n",
        "==========\n",
        "\n",
        "\\[1\\] Andrea Mari, Thomas R. Bromley, Josh Izaac, Maria Schuld, and\n",
        "Nathan Killoran. *Transfer learning in hybrid classical-quantum neural\n",
        "networks*. arXiv:1912.08278 (2019).\n",
        "\n",
        "\\[2\\] Rajat Raina, Alexis Battle, Honglak Lee, Benjamin Packer, and\n",
        "Andrew Y Ng. *Self-taught learning: transfer learning from unlabeled\n",
        "data*. Proceedings of the 24th International Conference on Machine\n",
        "Learning\\*, 759--766 (2007).\n",
        "\n",
        "\\[3\\] Kaiming He, Xiangyu Zhang, Shaoqing ren and Jian Sun. *Deep\n",
        "residual learning for image recognition*. Proceedings of the IEEE\n",
        "Conference on Computer Vision and Pattern Recognition, 770-778 (2016).\n",
        "\n",
        "\\[4\\] Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin,\n",
        "Carsten Blank, Keri McKiernan, and Nathan Killoran. *PennyLane:\n",
        "Automatic differentiation of hybrid quantum-classical computations*.\n",
        "arXiv:1811.04968 (2018).\n",
        "\n",
        "About the author\n",
        "================\n"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.9.17"
    },
    "colab": {
      "provenance": [],
      "gpuType": "V100"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}