1065 lines
501 KiB
Plaintext
Vendored
1065 lines
501 KiB
Plaintext
Vendored
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "48dd2795",
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"metadata": {},
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"source": [
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"# Tutorial: Unstructured Convolutional Autoencoders with Continuous Convolution\n",
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"[](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial4/tutorial.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "25770254",
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"metadata": {},
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"source": [
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"In this tutorial, we will show how to use the Continuous Convolutional Filter, and how to build common Deep Learning architectures with it. The implementation of the filter follows the original work [*A Continuous Convolutional Trainable Filter for Modelling Unstructured Data*](https://arxiv.org/abs/2210.13416).\n",
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"\n",
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"First of all we import the modules needed for the tutorial:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5ae7c0e8",
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"metadata": {},
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"outputs": [],
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"source": [
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"## routine needed to run the notebook on Google Colab\n",
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"try:\n",
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" import google.colab\n",
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"\n",
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" IN_COLAB = True\n",
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"except:\n",
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" IN_COLAB = False\n",
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"if IN_COLAB:\n",
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" !pip install \"pina-mathlab[tutorial]\"\n",
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"\n",
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"import torch\n",
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"import matplotlib.pyplot as plt\n",
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"import torchvision # for MNIST dataset\n",
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"import warnings\n",
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"\n",
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"from pina import Trainer\n",
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"from pina.problem.zoo import SupervisedProblem\n",
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"from pina.solver import SupervisedSolver\n",
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"from pina.trainer import Trainer\n",
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"from pina.model.block import ContinuousConvBlock\n",
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"from pina.model import FeedForward # for building AE and MNIST classification\n",
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"\n",
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"warnings.filterwarnings(\"ignore\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4094758f",
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"metadata": {},
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"source": [
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"## Tutorial Structure\n",
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"\n",
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"The tutorial is structured as follows:\n",
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"\n",
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"- [🔹 Continuous Filter Background](#continuous-filter-background): \n",
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" Understand how the convolutional filter works and how to use it.\n",
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"\n",
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"- [🔹 Building a MNIST Classifier](#building-a-mnist-classifier): \n",
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" Learn how to build a simple classifier using the MNIST dataset, and how to combine a continuous convolutional layer with a feedforward neural network.\n",
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"\n",
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"- [🔹 Building a Continuous Convolutional Autoencoder](#building-a-continuous-convolutional-autoencoder): \n",
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" Explore how to use the continuous filter to work with unstructured data for autoencoding and up-sampling.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "87327478",
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"metadata": {},
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"source": [
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"## Continuous Filter Background\n",
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"\n",
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"As reported by the authors in the original paper, in contrast to discrete convolution, **continuous convolution** is mathematically defined as:\n",
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"\n",
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"$$\n",
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" \\mathcal{I}_{\\rm{out}}(\\mathbf{x}) = \\int_{\\mathcal{X}} \\mathcal{I}(\\mathbf{x} + \\mathbf{\\tau}) \\cdot \\mathcal{K}(\\mathbf{\\tau}) d\\mathbf{\\tau},\n",
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"$$\n",
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"\n",
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"where:\n",
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"- $\\mathcal{K} : \\mathcal{X} \\rightarrow \\mathbb{R}$ is the **continuous filter** function,\n",
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"- $\\mathcal{I} : \\Omega \\subset \\mathbb{R}^N \\rightarrow \\mathbb{R}$ is the input function.\n",
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"\n",
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"The **continuous filter function** is approximated using a **FeedForward Neural Network**, which is **trainable** during the training phase. The way in which the integral is approximated can vary. In the **PINA** framework, we approximate it using a simple sum, as suggested by the authors. Thus, given the points $\\{\\mathbf{x}_i\\}_{i=1}^{n}$ in $\\mathbb{R}^N$ mapped onto the filter domain $\\mathcal{X}$, we approximate the equation as:\n",
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"\n",
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"$$\n",
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" \\mathcal{I}_{\\rm{out}}(\\mathbf{\\tilde{x}}_i) = \\sum_{{\\mathbf{x}_i}\\in\\mathcal{X}} \\mathcal{I}(\\mathbf{x}_i + \\mathbf{\\tau}) \\cdot \\mathcal{K}(\\mathbf{x}_i),\n",
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"$$\n",
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"\n",
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"where $\\mathbf{\\tau} \\in \\mathcal{S}$, with $\\mathcal{S}$ being the set of available strides, represents the current stride position of the filter. The $\\mathbf{\\tilde{x}}_i$ points are obtained by taking the **centroid** of the filter position mapped onto the domain $\\Omega$.\n",
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"\n",
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"### Working with the Continuous Filter\n",
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"\n",
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"From the above definition, what is needed is:\n",
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"1. A **domain** and a **function** defined on that domain (the input),\n",
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"2. A **stride**, corresponding to the positions where the filter needs to be applied (this is the `stride` variable in `ContinuousConv`),\n",
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"3. The **filter's rectangular domain**, which corresponds to the `filter_dim` variable in `ContinuousConv`.\n",
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"\n",
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"### Input Function\n",
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"\n",
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"The input function for the continuous filter is defined as a tensor of shape:\n",
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"\n",
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"$$[B \\times N_{\\text{in}} \\times N \\times D]$$\n",
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"\n",
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"where:\n",
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"- $B$ is the **batch size**,\n",
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"- $N_{\\text{in}}$ is the number of input fields,\n",
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"- $N$ is the number of points in the mesh,\n",
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"- $D$ is the dimension of the problem. \n",
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"\n",
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"In particular:\n",
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"- $D$ represents the **number of spatial variables** + 1. The last column must contain the field value. For example, for 2D problems, $D=3$ and the tensor will look like `[first coordinate, second coordinate, field value]`.\n",
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"- $N_{\\text{in}}$ represents the number of vectorial functions presented. For example, a vectorial function $f = [f_1, f_2]$ will have $N_{\\text{in}}=2$.\n",
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"\n",
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"#### Example: Input Function for a Vectorial Field\n",
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"\n",
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"Let’s see an example to clarify the idea. Suppose we wish to create the function:\n",
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"\n",
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"$$\n",
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"f(x, y) = [\\sin(\\pi x) \\sin(\\pi y), -\\sin(\\pi x) \\sin(\\pi y)] \\quad (x,y)\\in[0,1]\\times[0,1]\n",
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"$$\n",
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"\n",
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"We can do this with a **batch size** equal to 1. This function consists of two components (vectorial field), so $N_{\\text{in}}=2$. For each $(x,y)$ pair in the domain $[0,1] \\times [0,1]$, we will compute the corresponding field values:\n",
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"\n",
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"1. $\\sin(\\pi x) \\sin(\\pi y)$\n",
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"2. $-\\sin(\\pi x) \\sin(\\pi y)$"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "447bb133",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Domain has shape: torch.Size([1, 2, 200, 2])\n",
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"Filter input data has shape: torch.Size([1, 2, 200, 3])\n"
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]
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}
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],
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"source": [
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"# batch size fixed to 1\n",
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"batch_size = 1\n",
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"\n",
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"# points in the mesh fixed to 200\n",
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"N = 200\n",
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"\n",
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"# vectorial 2 dimensional function, number_input_fields=2\n",
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"number_input_fields = 2\n",
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"\n",
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"# 2 dimensional spatial variables, D = 2 + 1 = 3\n",
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"D = 3\n",
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"\n",
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"# create the function f domain as random 2d points in [0, 1]\n",
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"domain = torch.rand(size=(batch_size, number_input_fields, N, D - 1))\n",
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"print(f\"Domain has shape: {domain.shape}\")\n",
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"\n",
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"# create the functions\n",
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"pi = torch.acos(torch.tensor([-1.0])) # pi value\n",
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"f1 = torch.sin(pi * domain[:, 0, :, 0]) * torch.sin(pi * domain[:, 0, :, 1])\n",
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"f2 = -torch.sin(pi * domain[:, 1, :, 0]) * torch.sin(pi * domain[:, 1, :, 1])\n",
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"\n",
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"# stacking the input domain and field values\n",
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"data = torch.empty(size=(batch_size, number_input_fields, N, D))\n",
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"data[..., :-1] = domain # copy the domain\n",
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"data[:, 0, :, -1] = f1 # copy first field value\n",
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"data[:, 1, :, -1] = f1 # copy second field value\n",
|
||
"print(f\"Filter input data has shape: {data.shape}\")"
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]
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},
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||
{
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||
"cell_type": "markdown",
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||
"id": "e93d6afd",
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||
"metadata": {},
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||
"source": [
|
||
"### Stride\n",
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"\n",
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"The **stride** is passed as a dictionary `stride` that dictates where the filter should move. Here's an example for the domain $[0,1] \\times [0,5]$:\n",
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"\n",
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"```python\n",
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"# stride definition\n",
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"stride = {\"domain\": [1, 5],\n",
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" \"start\": [0, 0],\n",
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" \"jump\": [0.1, 0.3],\n",
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" \"direction\": [1, 1],\n",
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" }\n",
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"```\n",
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"This tells the filter:\n",
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||
"1. `domain`: The domain over which the filter operates. In this case, the filter works over the $[0,1] \\times [0,5]$ domain. The minimum value is always zero, and the maximum value is specified by the user.\n",
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"2. `start`: The starting position of the filter's centroid. In this example, the filter starts at the position $(0, 0)$.\n",
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"3. `jump`: The steps or jumps of the filter’s centroid to the next position. In this example, the filter moves by $(0.1, 0.3)$ along the x and y axes respectively.\n",
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"4. `direction`: The directions of the jumps for each coordinate. A value of 1 indicates the filter moves right, 0 means no movement, and -1 indicates the filter moves left with respect to its current position.\n",
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"\n",
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||
"### Filter definition\n",
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"\n",
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||
"Now that we have defined the stride, we can move on to construct the continuous filter.\n",
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||
"Let’s assume we want the output to contain only one field, and we will set the filter dimension to be $[0.1, 0.1]$."
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]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 3,
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||
"id": "b78c08b8",
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
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||
"# filter dim\n",
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||
"filter_dim = [0.1, 0.1]\n",
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||
"\n",
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||
"# stride\n",
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"stride = {\n",
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" \"domain\": [1, 1],\n",
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" \"start\": [0, 0],\n",
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" \"jump\": [0.08, 0.08],\n",
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" \"direction\": [1, 1],\n",
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"}\n",
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"\n",
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"# creating the filter\n",
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"cConv = ContinuousConvBlock(\n",
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" input_numb_field=number_input_fields,\n",
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" output_numb_field=1,\n",
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||
" filter_dim=filter_dim,\n",
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||
" stride=stride,\n",
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||
")"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"id": "49ccc992",
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||
"metadata": {},
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||
"source": [
|
||
"That's it! In just one line of code, we have successfully created the continuous convolutional filter. By default, the `pina.model.FeedForward` neural network is initialized, which can be further customized according to your needs.\n",
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"\n",
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||
"Additionally, if the mesh does not change during training, we can set the `optimize` flag to `True` to leverage optimizations for efficiently finding the points to convolve. This feature helps in improving the performance by reducing redundant calculations when the mesh remains constant."
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": 4,
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||
"id": "0fbe67dc",
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||
"metadata": {},
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||
"outputs": [],
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||
"source": [
|
||
"# creating the filter + optimization\n",
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||
"cConv = ContinuousConvBlock(\n",
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" input_numb_field=number_input_fields,\n",
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" output_numb_field=1,\n",
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" filter_dim=filter_dim,\n",
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" stride=stride,\n",
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" optimize=True,\n",
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||
")"
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||
]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"id": "f99c290e",
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||
"metadata": {},
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||
"source": [
|
||
"Let's try to do a forward pass:"
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||
]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 5,
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||
"id": "07580a3c",
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||
"metadata": {},
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||
"outputs": [
|
||
{
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||
"name": "stdout",
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||
"output_type": "stream",
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||
"text": [
|
||
"Filter input data has shape: torch.Size([1, 2, 200, 3])\n",
|
||
"Filter output data has shape: torch.Size([1, 1, 169, 3])\n"
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||
]
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||
}
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||
],
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"source": [
|
||
"print(f\"Filter input data has shape: {data.shape}\")\n",
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"\n",
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||
"# input to the filter\n",
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||
"output = cConv(data)\n",
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"\n",
|
||
"print(f\"Filter output data has shape: {output.shape}\")"
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]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"id": "886cf50f",
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||
"metadata": {},
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||
"source": [
|
||
"If you don't want to use the default `FeedForward` neural network, you can pass a custom PyTorch model by specifying it in the `model` keyword. Here's an example of how to do it:"
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||
]
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},
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{
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||
"cell_type": "code",
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||
"execution_count": 6,
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"id": "0e234c69",
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"metadata": {},
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||
"outputs": [],
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||
"source": [
|
||
"class SimpleKernel(torch.nn.Module):\n",
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" def __init__(self) -> None:\n",
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" super().__init__()\n",
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" self.model = torch.nn.Sequential(\n",
|
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" torch.nn.Linear(2, 20),\n",
|
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" torch.nn.ReLU(),\n",
|
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" torch.nn.Linear(20, 20),\n",
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" torch.nn.ReLU(),\n",
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" torch.nn.Linear(20, 1),\n",
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" )\n",
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"\n",
|
||
" def forward(self, x):\n",
|
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" return self.model(x)\n",
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"\n",
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"\n",
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"cConv = ContinuousConvBlock(\n",
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" input_numb_field=number_input_fields,\n",
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" output_numb_field=1,\n",
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" filter_dim=filter_dim,\n",
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" stride=stride,\n",
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" optimize=True,\n",
|
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" model=SimpleKernel,\n",
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")"
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||
]
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||
},
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||
{
|
||
"cell_type": "markdown",
|
||
"id": "2d4318ab",
|
||
"metadata": {},
|
||
"source": [
|
||
"Notice that we pass the **class** of the model and not an already built object! This is important because the `ContinuousConv` filter will automatically instantiate the model class when needed during training. \n",
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||
"\n",
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||
"## Building a MNIST Classifier\n",
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||
"\n",
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||
"Let's see how we can build a MNIST classifier using a continuous convolutional filter. We will use the MNIST dataset from PyTorch. In order to keep small training times we use only 6000 samples for training and 1000 samples for testing."
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "6d816e7a",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"numb_training = 6000 # get just 6000 images for training\n",
|
||
"numb_testing = 1000 # get just 1000 images for training\n",
|
||
"seed = 111 # for reproducibility\n",
|
||
"batch_size = 8 # setting batch size\n",
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||
"\n",
|
||
"# setting the seed\n",
|
||
"torch.manual_seed(seed)\n",
|
||
"\n",
|
||
"# downloading the dataset\n",
|
||
"train_data = torchvision.datasets.MNIST(\n",
|
||
" \"./tutorial_logs/\",\n",
|
||
" download=True,\n",
|
||
" train=False,\n",
|
||
" transform=torchvision.transforms.Compose(\n",
|
||
" [\n",
|
||
" torchvision.transforms.ToTensor(),\n",
|
||
" torchvision.transforms.Normalize((0.1307,), (0.3081,)),\n",
|
||
" ]\n",
|
||
" ),\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "7f076010",
|
||
"metadata": {},
|
||
"source": [
|
||
"Now, let's proceed to build a simple classifier for the MNIST dataset. The MNIST dataset consists of vectors with the shape `[batch, 1, 28, 28]`, but we can treat them as field functions where each pixel at coordinates $i,j$ corresponds to a point in a $[0, 27] \\times [0, 27]$ domain. The pixel values represent the field values.\n",
|
||
"\n",
|
||
"To use the continuous convolutional filter, we need to transform the regular tensor into a format compatible with the filter. Here's a function that will help with this transformation:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "a872fb2d",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def transform_input(x):\n",
|
||
" batch_size = x.shape[0]\n",
|
||
" dim_grid = tuple(x.shape[:-3:-1])\n",
|
||
"\n",
|
||
" # creating the n dimensional mesh grid for a single channel image\n",
|
||
" values_mesh = [torch.arange(0, dim).float() for dim in dim_grid]\n",
|
||
" mesh = torch.meshgrid(values_mesh)\n",
|
||
" coordinates_mesh = [m.reshape(-1, 1).to(x.device) for m in mesh]\n",
|
||
" coordinates = (\n",
|
||
" torch.cat(coordinates_mesh, dim=1)\n",
|
||
" .unsqueeze(0)\n",
|
||
" .repeat((batch_size, 1, 1))\n",
|
||
" .unsqueeze(1)\n",
|
||
" )\n",
|
||
"\n",
|
||
" return torch.cat((coordinates, x.flatten(2).unsqueeze(-1)), dim=-1)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "850b45c4",
|
||
"metadata": {},
|
||
"source": [
|
||
"We can now build a simple classifier! We will use just one convolutional filter followed by a feedforward neural network"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"id": "889c1592",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# setting the seed\n",
|
||
"torch.manual_seed(seed)\n",
|
||
"\n",
|
||
"\n",
|
||
"class ContinuousClassifier(torch.nn.Module):\n",
|
||
" def __init__(self):\n",
|
||
" super().__init__()\n",
|
||
"\n",
|
||
" # number of classes for classification\n",
|
||
" numb_class = 10\n",
|
||
"\n",
|
||
" # convolutional block\n",
|
||
" self.convolution = ContinuousConvBlock(\n",
|
||
" input_numb_field=1,\n",
|
||
" output_numb_field=4,\n",
|
||
" stride={\n",
|
||
" \"domain\": [27, 27],\n",
|
||
" \"start\": [0, 0],\n",
|
||
" \"jumps\": [4, 4],\n",
|
||
" \"direction\": [1, 1.0],\n",
|
||
" },\n",
|
||
" filter_dim=[4, 4],\n",
|
||
" optimize=True,\n",
|
||
" )\n",
|
||
" # feedforward net\n",
|
||
" self.nn = FeedForward(\n",
|
||
" input_dimensions=196,\n",
|
||
" output_dimensions=numb_class,\n",
|
||
" layers=[120, 64],\n",
|
||
" func=torch.nn.ReLU,\n",
|
||
" )\n",
|
||
"\n",
|
||
" def forward(self, x):\n",
|
||
" # transform input + convolution\n",
|
||
" x = transform_input(x)\n",
|
||
" x = self.convolution(x)\n",
|
||
" # feed forward classification\n",
|
||
" return self.nn(x[..., -1].flatten(1))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "4374c15c",
|
||
"metadata": {},
|
||
"source": [
|
||
"We now aim to solve a classification problem. For this we will use the `SupervisedSolver` and the `SupervisedProblem`. The input of the supervised problems are the images, while the output the corresponding class. We will train with `CrossEntropyLoss`."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "0446afe0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"GPU available: True (mps), used: False\n",
|
||
"TPU available: False, using: 0 TPU cores\n",
|
||
"HPU available: False, using: 0 HPUs\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "a70679a4feaa449db15d18c17588cf51",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Sanity Checking: | | 0/? [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "450b551fc7d74dfd9585d153852fa687",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Training: | | 0/? [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "34511393dbd84defa82657974cd70287",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Validation: | | 0/? [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"`Trainer.fit` stopped: `max_epochs=1` reached.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# setting the problem\n",
|
||
"problem = SupervisedProblem(\n",
|
||
" input_=train_data.train_data.unsqueeze(1), # adding channel dimension\n",
|
||
" output_=train_data.train_labels,\n",
|
||
")\n",
|
||
"\n",
|
||
"# setting the solver\n",
|
||
"solver = SupervisedSolver(\n",
|
||
" problem=problem,\n",
|
||
" model=ContinuousClassifier(),\n",
|
||
" loss=torch.nn.CrossEntropyLoss(),\n",
|
||
" use_lt=False,\n",
|
||
")\n",
|
||
"\n",
|
||
"# setting the trainer\n",
|
||
"trainer = Trainer(\n",
|
||
" solver=solver,\n",
|
||
" max_epochs=1,\n",
|
||
" accelerator=\"cpu\",\n",
|
||
" enable_model_summary=False,\n",
|
||
" train_size=0.7,\n",
|
||
" val_size=0.1,\n",
|
||
" test_size=0.2,\n",
|
||
" batch_size=64,\n",
|
||
")\n",
|
||
"trainer.train()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "47fa3d0e",
|
||
"metadata": {},
|
||
"source": [
|
||
"Let's see the performance on the test set!"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "b54638c1",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Accuracy of the network on the test images: 81.550%\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"correct = 0\n",
|
||
"total = 0\n",
|
||
"trainer.data_module.setup(\"test\")\n",
|
||
"with torch.no_grad():\n",
|
||
" for data in trainer.data_module.test_dataloader():\n",
|
||
" test_data = data[\"data\"]\n",
|
||
" images, labels = test_data[\"input\"], test_data[\"target\"]\n",
|
||
" # calculate outputs by running images through the network\n",
|
||
" outputs = solver(images)\n",
|
||
" # the class with the highest energy is what we choose as prediction\n",
|
||
" _, predicted = torch.max(outputs.data, 1)\n",
|
||
" total += labels.size(0)\n",
|
||
" correct += (predicted == labels).sum().item()\n",
|
||
"\n",
|
||
"print(f\"Accuracy of the network on the test images: {(correct / total):.3%}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "25cf2878",
|
||
"metadata": {},
|
||
"source": [
|
||
"As we can see we have very good performance for having trained only for 1 epoch! Nevertheless, we are still using structured data... Let's see how we can build an autoencoder for unstructured data now.\n",
|
||
"\n",
|
||
"## Building a Continuous Convolutional Autoencoder\n",
|
||
"\n",
|
||
"As a toy problem, we will now build an autoencoder for the function \\( f(x, y) = \\sin(\\pi x) \\sin(\\pi y) \\) on the unit circle domain centered at \\( (0.5, 0.5) \\). We will also explore the ability to up-sample the results (once trained) without needing to retrain the model. To begin, we'll generate the input data for the function. First, we will use a mesh of 100 points and visualize the input function. Here’s how to proceed:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "6ca0e929",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# create inputs\n",
|
||
"def circle_grid(N=100):\n",
|
||
" \"\"\"Generate points withing a unit 2D circle centered in (0.5, 0.5)\n",
|
||
"\n",
|
||
" :param N: number of points\n",
|
||
" :type N: float\n",
|
||
" :return: [x, y] array of points\n",
|
||
" :rtype: torch.tensor\n",
|
||
" \"\"\"\n",
|
||
"\n",
|
||
" PI = torch.acos(torch.zeros(1)).item() * 2\n",
|
||
" R = 0.5\n",
|
||
" centerX = 0.5\n",
|
||
" centerY = 0.5\n",
|
||
"\n",
|
||
" r = R * torch.sqrt(torch.rand(N))\n",
|
||
" theta = torch.rand(N) * 2 * PI\n",
|
||
"\n",
|
||
" x = centerX + r * torch.cos(theta)\n",
|
||
" y = centerY + r * torch.sin(theta)\n",
|
||
"\n",
|
||
" return torch.stack([x, y]).T\n",
|
||
"\n",
|
||
"\n",
|
||
"# create the grid\n",
|
||
"grid = circle_grid(500)\n",
|
||
"\n",
|
||
"# create input\n",
|
||
"input_data = torch.empty(size=(1, 1, grid.shape[0], 3))\n",
|
||
"input_data[0, 0, :, :-1] = grid\n",
|
||
"input_data[0, 0, :, -1] = torch.sin(pi * grid[:, 0]) * torch.sin(\n",
|
||
" pi * grid[:, 1]\n",
|
||
")\n",
|
||
"\n",
|
||
"# visualize data\n",
|
||
"plt.title(\"Training sample with 500 points\")\n",
|
||
"plt.scatter(grid[:, 0], grid[:, 1], c=input_data[0, 0, :, -1])\n",
|
||
"plt.colorbar()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "ab6f5987",
|
||
"metadata": {},
|
||
"source": [
|
||
"Now, let's create a simple autoencoder using the continuous convolutional filter. Since the data is inherently unstructured, a standard convolutional filter may not be effective without some form of projection or interpolation. We'll begin by building an `Encoder` and `Decoder` class, and then combine them into a unified `Autoencoder` class.\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"id": "13e8ae0e",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"class Encoder(torch.nn.Module):\n",
|
||
" def __init__(self, hidden_dimension):\n",
|
||
" super().__init__()\n",
|
||
"\n",
|
||
" # convolutional block\n",
|
||
" self.convolution = ContinuousConvBlock(\n",
|
||
" input_numb_field=1,\n",
|
||
" output_numb_field=2,\n",
|
||
" stride={\n",
|
||
" \"domain\": [1, 1],\n",
|
||
" \"start\": [0, 0],\n",
|
||
" \"jumps\": [0.05, 0.05],\n",
|
||
" \"direction\": [1, 1.0],\n",
|
||
" },\n",
|
||
" filter_dim=[0.15, 0.15],\n",
|
||
" optimize=True,\n",
|
||
" )\n",
|
||
" # feedforward net\n",
|
||
" self.nn = FeedForward(\n",
|
||
" input_dimensions=400,\n",
|
||
" output_dimensions=hidden_dimension,\n",
|
||
" layers=[240, 120],\n",
|
||
" )\n",
|
||
"\n",
|
||
" def forward(self, x):\n",
|
||
" # convolution\n",
|
||
" x = self.convolution(x)\n",
|
||
" # feed forward pass\n",
|
||
" return self.nn(x[..., -1])\n",
|
||
"\n",
|
||
"\n",
|
||
"class Decoder(torch.nn.Module):\n",
|
||
" def __init__(self, hidden_dimension):\n",
|
||
" super().__init__()\n",
|
||
"\n",
|
||
" # convolutional block\n",
|
||
" self.convolution = ContinuousConvBlock(\n",
|
||
" input_numb_field=2,\n",
|
||
" output_numb_field=1,\n",
|
||
" stride={\n",
|
||
" \"domain\": [1, 1],\n",
|
||
" \"start\": [0, 0],\n",
|
||
" \"jumps\": [0.05, 0.05],\n",
|
||
" \"direction\": [1, 1.0],\n",
|
||
" },\n",
|
||
" filter_dim=[0.15, 0.15],\n",
|
||
" optimize=True,\n",
|
||
" )\n",
|
||
" # feedforward net\n",
|
||
" self.nn = FeedForward(\n",
|
||
" input_dimensions=hidden_dimension,\n",
|
||
" output_dimensions=400,\n",
|
||
" layers=[120, 240],\n",
|
||
" )\n",
|
||
"\n",
|
||
" def forward(self, weights, grid):\n",
|
||
" # feed forward pass\n",
|
||
" x = self.nn(weights)\n",
|
||
" # transpose convolution\n",
|
||
" return torch.sigmoid(self.convolution.transpose(x, grid))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "eb097e34",
|
||
"metadata": {},
|
||
"source": [
|
||
"Great! In the `Decoder` class, during the `forward` pass, we used the `.transpose()` method of the `ContinuousConvolution` class. This method takes the `weights` for upsampling and the `grid` on which to perform the upsampling. Now, let's go ahead and build the autoencoder! We'll define the hidden dimension with the `hidden_dimension` variable, and apply the sigmoid function on the output since the field values are constrained within the range $[0, 1]$."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"id": "a4db89a7",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"class Autoencoder(torch.nn.Module):\n",
|
||
" def __init__(self, hidden_dimension=10):\n",
|
||
" super().__init__()\n",
|
||
"\n",
|
||
" self.encoder = Encoder(hidden_dimension)\n",
|
||
" self.decoder = Decoder(hidden_dimension)\n",
|
||
"\n",
|
||
" def forward(self, x):\n",
|
||
" # saving grid for later upsampling\n",
|
||
" grid = x.clone().detach()\n",
|
||
" # encoder\n",
|
||
" weights = self.encoder(x)\n",
|
||
" # decoder\n",
|
||
" out = self.decoder(weights, grid)\n",
|
||
" return out"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "2df482a7",
|
||
"metadata": {},
|
||
"source": [
|
||
"Now, let's proceed with training the autoencoder by minimizing the mean squared error (MSE) loss and optimizing using the Adam optimizer. We'll use the `SupervisedSolver` for the training, and the problem will be defined as a simple problem inherited from `AbstractProblem`."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"id": "700a7cf3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"GPU available: True (mps), used: False\n",
|
||
"TPU available: False, using: 0 TPU cores\n",
|
||
"HPU available: False, using: 0 HPUs\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"application/vnd.jupyter.widget-view+json": {
|
||
"model_id": "2b5c90e63e5649a09132869ff4ffcd47",
|
||
"version_major": 2,
|
||
"version_minor": 0
|
||
},
|
||
"text/plain": [
|
||
"Training: | | 0/? [00:00<?, ?it/s]"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"`Trainer.fit` stopped: `max_epochs=100` reached.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"# define the problem\n",
|
||
"problem = SupervisedProblem(input_data, input_data)\n",
|
||
"\n",
|
||
"\n",
|
||
"# define the solver\n",
|
||
"solver = SupervisedSolver(\n",
|
||
" problem=problem,\n",
|
||
" model=Autoencoder(),\n",
|
||
" loss=torch.nn.MSELoss(),\n",
|
||
" use_lt=False,\n",
|
||
")\n",
|
||
"\n",
|
||
"# train\n",
|
||
"trainer = Trainer(\n",
|
||
" solver,\n",
|
||
" max_epochs=100,\n",
|
||
" accelerator=\"cpu\",\n",
|
||
" enable_model_summary=False, # we train on CPU and avoid model summary at beginning of training (optional)\n",
|
||
" train_size=1.0,\n",
|
||
" val_size=0.0,\n",
|
||
" test_size=0.0,\n",
|
||
")\n",
|
||
"trainer.train()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a98ffb20",
|
||
"metadata": {},
|
||
"source": [
|
||
"Now, let's visualize the real solution alongside the autoencoder's reconstruction, displaying them side by side for comparison!"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"id": "0269fedf",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x300 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"solver.eval()\n",
|
||
"\n",
|
||
"# get output and detach from computational graph for plotting\n",
|
||
"output = solver(input_data).detach()\n",
|
||
"\n",
|
||
"# visualize data\n",
|
||
"fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8, 3))\n",
|
||
"pic1 = axes[0].scatter(grid[:, 0], grid[:, 1], c=input_data[0, 0, :, -1])\n",
|
||
"axes[0].set_title(\"Real\")\n",
|
||
"fig.colorbar(pic1)\n",
|
||
"plt.subplot(1, 2, 2)\n",
|
||
"pic2 = axes[1].scatter(grid[:, 0], grid[:, 1], c=output[0, 0, :, -1])\n",
|
||
"axes[1].set_title(\"Autoencoder\")\n",
|
||
"fig.colorbar(pic2)\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "206141f9",
|
||
"metadata": {},
|
||
"source": [
|
||
"As observed, the two solutions are nearly identical! We can also compute the $l_2$ error between the real solution and the autoencoder's reconstruction quite easily:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"id": "ded8f91b",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"l2 error: 4.78%\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"def l2_error(input_, target):\n",
|
||
" return torch.linalg.norm(input_ - target, ord=2) / torch.linalg.norm(\n",
|
||
" input_, ord=2\n",
|
||
" )\n",
|
||
"\n",
|
||
"\n",
|
||
"print(f\"l2 error: {l2_error(input_data[0, 0, :, -1], output[0, 0, :, -1]):.2%}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c30996c4",
|
||
"metadata": {},
|
||
"source": [
|
||
"The $l_2$ error is approximately $4\\%$, which is quite low considering that we only use **one** convolutional layer and a simple feedforward network to reduce the dimension. Now, let's explore some of the unique features of the filter.\n",
|
||
"\n",
|
||
"### Upsampling with the Filter\n",
|
||
"\n",
|
||
"Suppose we have a hidden representation and we want to upsample it on a different grid with more points. Let's see how we can achieve that:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "fcbbaec6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x300 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# setting the seed\n",
|
||
"torch.manual_seed(seed)\n",
|
||
"\n",
|
||
"grid2 = circle_grid(1500) # triple number of points\n",
|
||
"input_data2 = torch.zeros(size=(1, 1, grid2.shape[0], 3))\n",
|
||
"input_data2[0, 0, :, :-1] = grid2\n",
|
||
"input_data2[0, 0, :, -1] = torch.sin(pi * grid2[:, 0]) * torch.sin(\n",
|
||
" pi * grid2[:, 1]\n",
|
||
")\n",
|
||
"\n",
|
||
"# get the hidden representation from original input\n",
|
||
"latent = solver.model.encoder(input_data)\n",
|
||
"\n",
|
||
"# upsample on the second input_data2\n",
|
||
"output = solver.model.decoder(latent, input_data2).detach()\n",
|
||
"\n",
|
||
"# show the picture\n",
|
||
"fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8, 3))\n",
|
||
"pic1 = axes[0].scatter(grid2[:, 0], grid2[:, 1], c=input_data2[0, 0, :, -1])\n",
|
||
"axes[0].set_title(\"Real\")\n",
|
||
"fig.colorbar(pic1)\n",
|
||
"plt.subplot(1, 2, 2)\n",
|
||
"pic2 = axes[1].scatter(grid2[:, 0], grid2[:, 1], c=output[0, 0, :, -1])\n",
|
||
"axes[1].set_title(\"Up-sampling\")\n",
|
||
"fig.colorbar(pic2)\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "2cbf14b5",
|
||
"metadata": {},
|
||
"source": [
|
||
"As we can see, we have a very good approximation of the original function, although some noise is present. Let's now calculate the error:"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"id": "ab505b75",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"l2 error: 9.72%\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"print(\n",
|
||
" f\"l2 error: {l2_error(input_data2[0, 0, :, -1], output[0, 0, :, -1]):.2%}\"\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "8e720e55",
|
||
"metadata": {},
|
||
"source": [
|
||
"## What's Next?\n",
|
||
"\n",
|
||
"Congratulations on completing the tutorial on using the Continuous Convolutional Filter in **PINA**! Now that you have the basics, there are several exciting directions you can explore:\n",
|
||
"\n",
|
||
"1. **Train using Physics-Informed strategies**: Leverage physics-based knowledge to improve model performance for solving real-world problems.\n",
|
||
"\n",
|
||
"2. **Use the filter to build an unstructured convolutional autoencoder**: Explore reduced-order modeling by implementing unstructured convolutional autoencoders.\n",
|
||
"\n",
|
||
"3. **Experiment with upsampling at different resolutions**: Try encoding or upsampling on different grids to see how the model generalizes across multiple resolutions.\n",
|
||
"\n",
|
||
"4. **...and many more!**: There are endless possibilities, from improving model architecture to testing with more complex datasets.\n",
|
||
"\n",
|
||
"For more resources and tutorials, check out the [PINA Documentation](https://mathlab.github.io/PINA/)."
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "pina",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.9.21"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|