964 lines (963 with data), 339.1 kB
{
"cells": [
{
"cell_type": "code",
"execution_count": 163,
"metadata": {
"id": "UJOq3mdA8PAH",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"outputId": "5d2cf62a-f15f-44af-cdd0-bb317c5a4daa"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Time in seconds since beginning of run: 1695627461.4760098\n",
"Mon Sep 25 07:37:41 2023\n"
]
}
],
"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\n",
"\n",
"import time\n",
"seconds = time.time()\n",
"print(\"Time in seconds since beginning of run:\", seconds)\n",
"local_time = time.ctime(seconds)\n",
"print(local_time)"
]
},
{
"cell_type": "code",
"execution_count": 164,
"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 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": 165,
"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 = 5 # 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": 166,
"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": 167,
"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": 168,
"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": 169,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 207
},
"id": "QzIKQxS78PAU",
"outputId": "472cbe98-e391-419b-c5ac-63c5e0f63c6d"
},
"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": "_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": 170,
"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": 171,
"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",
" # 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": "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": 172,
"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)\n"
]
},
{
"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": 173,
"metadata": {
"id": "lnJnW_ra8PAX"
},
"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": "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": 174,
"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": 175,
"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": 176,
"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": 177,
"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": "d6910eba-78d6-45aa-c5b7-8d4bfd42c478"
},
"execution_count": 178,
"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": 179,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "5VgfdD3-8PAZ",
"outputId": "6c89507e-bb59-4b31-e4d8-0934fb0e6f17"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Training started:\n",
"Phase: train Epoch: 1/5 Loss: 0.6734 Acc: 0.5615 \n",
"Phase: validation Epoch: 1/5 Loss: 0.5991 Acc: 0.7908 \n",
"Phase: train Epoch: 2/5 Loss: 0.6592 Acc: 0.6803 \n",
"Phase: validation Epoch: 2/5 Loss: 0.5897 Acc: 0.8627 \n",
"Phase: train Epoch: 3/5 Loss: 0.6019 Acc: 0.7828 \n",
"Phase: validation Epoch: 3/5 Loss: 0.5507 Acc: 0.9150 \n",
"Phase: train Epoch: 4/5 Loss: 0.5812 Acc: 0.8197 \n",
"Phase: validation Epoch: 4/5 Loss: 0.5401 Acc: 0.9216 \n",
"Phase: train Epoch: 5/5 Loss: 0.5458 Acc: 0.8648 \n",
"Phase: validation Epoch: 5/5 Loss: 0.5019 Acc: 0.9412 \n",
"Training completed in 1m 56s\n",
"Best test loss: 0.5019 | Best test accuracy: 0.9412\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": 180,
"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": 181,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 428
},
"id": "mKBJn2x68PAa",
"outputId": "ca6fa770-ec3c-42dc-aab6-d695e6076ae1"
},
"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": [
"seconds = time.time()\n",
"print(\"Time in seconds since end of run:\", seconds)\n",
"local_time = time.ctime(seconds)\n",
"print(local_time)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 0
},
"id": "D3AaQc2xMk-G",
"outputId": "ec3b1081-c147-486c-b697-11e8019a832e"
},
"execution_count": 182,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Time in seconds since end of run: 1695627580.1801248\n",
"Mon Sep 25 07:39:40 2023\n"
]
}
]
},
{
"cell_type": "code",
"source": [
"# from google.colab import runtime\n",
"# runtime.unassign()"
],
"metadata": {
"id": "fALJ8tZXA0to"
},
"execution_count": 183,
"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"
]
}
],
"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": [],
"machine_shape": "hm",
"gpuType": "V100"
},
"accelerator": "GPU"
},
"nbformat": 4,
"nbformat_minor": 0
}