942 lines (941 with data), 336.1 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "UJOq3mdA8PAH"
},
"outputs": [],
"source": [
"# This cell is added by sphinx-gallery\n",
"# It can be customized to whatever you like\n",
"%matplotlib inline\n",
"\n",
"# from google.colab import drive\n",
"# drive.mount('/content/drive')\n",
"# !pip install pennylane"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "5ljdosVS8PAP"
},
"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": "1AFilzYk8PAQ"
},
"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": 4,
"metadata": {
"id": "5LRcEYZg8PAR"
},
"outputs": [],
"source": [
"n_qubits = 4 # Number of qubits\n",
"step = 0.0004 # Learning rate\n",
"batch_size = 4 # Number of samples for each training step\n",
"num_epochs = 10 # Number of training epochs\n",
"q_depth = 6 # 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": "NlU2Q7zd8PAR"
},
"source": [
"We initialize a PennyLane device with a `default.qubit` backend.\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"id": "0prgZPLK8PAR"
},
"outputs": [],
"source": [
"dev = qml.device(\"default.qubit\", wires=n_qubits)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "54jRIpbZ8PAS"
},
"source": [
"We configure PyTorch to use CUDA only if available. Otherwise the CPU is\n",
"used.\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"id": "23nQUjLm8PAS"
},
"outputs": [],
"source": [
"device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-AJzWJGi8PAT"
},
"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": 7,
"metadata": {
"id": "XaNa12un8PAT"
},
"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": "ANdmcnR98PAU"
},
"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": 8,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 207
},
"id": "QzIKQxS78PAU",
"outputId": "879d04eb-7ec8-4f92-945e-c6ad5c88565a"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
],
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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": "_ULbO8f28PAU"
},
"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": 9,
"metadata": {
"id": "6gMomjvL8PAV"
},
"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": "0iroynmF8PAV"
},
"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": 10,
"metadata": {
"id": "ONyq04RY8PAV"
},
"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",
" # 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": "4eG97j4f8PAV"
},
"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": 11,
"metadata": {
"id": "hIljGdv_8PAW"
},
"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": "E8-EDnhn8PAW"
},
"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": 12,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "lnJnW_ra8PAX",
"outputId": "f4a54550-8f6f-4ebb-98d8-347b148d62b6"
},
"outputs": [
{
"output_type": "stream",
"name": "stderr",
"text": [
"/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
" warnings.warn(\n",
"/usr/local/lib/python3.10/dist-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.\n",
" warnings.warn(msg)\n",
"Downloading: \"https://download.pytorch.org/models/resnet50-0676ba61.pth\" to /root/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth\n",
"100%|██████████| 97.8M/97.8M [00:00<00:00, 293MB/s]\n"
]
}
],
"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": "5k96EBuZ8PAX"
},
"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": 13,
"metadata": {
"id": "BKvfgR5N8PAX"
},
"outputs": [],
"source": [
"criterion = nn.CrossEntropyLoss()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "UUvuVdii8PAX"
},
"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": 14,
"metadata": {
"id": "bPI2SbMQ8PAX"
},
"outputs": [],
"source": [
"optimizer_hybrid = optim.Adam(model_hybrid.fc.parameters(), lr=step)"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "a8wMKvP48PAY"
},
"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": 15,
"metadata": {
"id": "dLQsPIzy8PAY"
},
"outputs": [],
"source": [
"exp_lr_scheduler = lr_scheduler.StepLR(\n",
" optimizer_hybrid, step_size=10, gamma=gamma_lr_scheduler\n",
")"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Q-xTUZhq8PAY"
},
"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": 16,
"metadata": {
"id": "rppVRya_8PAY"
},
"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": "a_XtRwDI8PAZ"
},
"source": [
"We are ready to perform the actual training process.\n"
]
},
{
"cell_type": "code",
"source": [
"from IPython.display import display, Javascript\n",
"\n",
"# Run this cell to keep Colab awake\n",
"display(Javascript('''\n",
" function keep_colab_awake(){\n",
" console.log(\"Colab is being kept awake.\");\n",
" document.querySelector(\"#top-toolbar > colab-connect-button\").shadowRoot.querySelector(\"#connect\").click();\n",
" document.querySelector(\"body > colab-sandbox-output > div > div.output.container.output-wrapper > div.output > pre\").innerText;\n",
" setTimeout(keep_colab_awake, 61000);\n",
" }\n",
" keep_colab_awake();\n",
"'''))"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 17
},
"id": "p2W621Tsy2hY",
"outputId": "167fa0ea-21d7-4b7c-f430-9dee7e814495"
},
"execution_count": 17,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"\n",
" function keep_colab_awake(){\n",
" console.log(\"Colab is being kept awake.\");\n",
" document.querySelector(\"#top-toolbar > colab-connect-button\").shadowRoot.querySelector(\"#connect\").click();\n",
" document.querySelector(\"body > colab-sandbox-output > div > div.output.container.output-wrapper > div.output > pre\").innerText;\n",
" setTimeout(keep_colab_awake, 61000);\n",
" }\n",
" keep_colab_awake();\n"
]
},
"metadata": {}
}
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "5VgfdD3-8PAZ",
"outputId": "70c2e980-db90-40e6-be1c-59380fc7e1a2"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Training started:\n",
"Phase: train Epoch: 1/10 Loss: 0.6732 Acc: 0.5656 \n",
"Phase: validation Epoch: 1/10 Loss: 0.5971 Acc: 0.7908 \n",
"Phase: train Epoch: 2/10 Loss: 0.6569 Acc: 0.6885 \n",
"Phase: validation Epoch: 2/10 Loss: 0.5825 Acc: 0.8170 \n",
"Phase: train Epoch: 3/10 Loss: 0.5965 Acc: 0.7746 \n",
"Phase: validation Epoch: 3/10 Loss: 0.5448 Acc: 0.9150 \n",
"Phase: train Epoch: 4/10 Loss: 0.5757 Acc: 0.8115 \n",
"Phase: validation Epoch: 4/10 Loss: 0.5132 Acc: 0.9281 \n",
"Phase: train Epoch: 5/10 Loss: 0.5316 Acc: 0.8566 \n",
"Phase: validation Epoch: 5/10 Loss: 0.4901 Acc: 0.9346 \n",
"Phase: train Epoch: 6/10 Loss: 0.5383 Acc: 0.8279 \n",
"Phase: validation Epoch: 6/10 Loss: 0.4789 Acc: 0.9150 \n",
"Phase: train Epoch: 7/10 Loss: 0.5183 Acc: 0.8320 \n",
"Phase: validation Epoch: 7/10 Loss: 0.4254 Acc: 0.9412 \n",
"Phase: train Epoch: 8/10 Loss: 0.4724 Acc: 0.8689 \n",
"Phase: validation Epoch: 8/10 Loss: 0.3846 Acc: 0.9477 \n",
"Phase: train Epoch: 9/10 Loss: 0.4163 Acc: 0.8893 \n",
"Phase: validation Epoch: 9/10 Loss: 0.3552 Acc: 0.9281 \n",
"Phase: train Epoch: 10/10 Loss: 0.4387 Acc: 0.8525 \n",
"Phase: validation Epoch: 10/10 Loss: 0.3296 Acc: 0.9477 \n",
"Training completed in 3m 42s\n",
"Best test loss: 0.3296 | Best test accuracy: 0.9477\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": "AG82Ot6Y8PAZ"
},
"source": [
"Visualizing the model predictions\n",
"=================================\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "cwycKwbd8PAZ"
},
"source": [
"We first define a visualization function for a batch of test data.\n"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"id": "_8R2rHzF8PAZ"
},
"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": "LQvJfmme8PAa"
},
"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": 20,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 428
},
"id": "mKBJn2x68PAa",
"outputId": "7a05061f-537e-4920-fb33-3d0b6274004b"
},
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": [
"<Figure size 640x480 with 16 Axes>"
],
"image/png": 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\n"
},
"metadata": {}
}
],
"source": [
"visualize_model(model_hybrid, num_images=16)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"source": [
"from google.colab import runtime\n",
"runtime.unassign()"
],
"metadata": {
"id": "fALJ8tZXA0to"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "0yhgWSns8PAa"
},
"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"
]
}
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