diff --git a/tutorials/tutorial14/tutorial.ipynb b/tutorials/tutorial14/tutorial.ipynb new file mode 100644 index 000000000..cc925f0ee --- /dev/null +++ b/tutorials/tutorial14/tutorial.ipynb @@ -0,0 +1,624 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tutorial: Predicting Lid-driven cavity problem parameters with POD-RBF\n", + "\n", + "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial14/tutorial.ipynb)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this tutorial we will show how to use the **PINA** library to predict the distributions of velocity and pressure the Lid-driven Cavity problem, a benchmark in Computational Fluid Dynamics. The problem consists of a square cavity with a lid on top moving with tangential velocity (by convention to the right), with the addition of no-slip conditions on the walls of the cavity and null static pressure on the lower left angle. \n", + "\n", + "Our goal is to predict the distributions of velocity and pressure of the fluid inside the cavity as the Reynolds number of the inlet fluid varies. To do so we're using a Reduced Order Model (ROM) based on Proper Orthogonal Decomposition (POD). The parametric solution manifold is approximated here with Radial Basis Function (RBF) Interpolation, a common mesh-free interpolation method that doesn't require trainers or solvers as the found radial basis functions are used to interpolate new points." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's start with the necessary imports. We're particularly interested in the `PODBlock` and `RBFBlock` classes which will allow us to define the POD-RBF model." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "## routine needed to run the notebook on Google Colab\n", + "try:\n", + " import google.colab\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "if IN_COLAB:\n", + " !pip install \"pina-mathlab\"\n", + "\n", + "%matplotlib inline\n", + "\n", + "import matplotlib.pyplot as plt\n", + "plt.style.use('tableau-colorblind10')\n", + "import torch\n", + "import pina\n", + "from pina.model.block import PODBlock, RBFBlock\n", + "from pina import LabelTensor" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this tutorial we're gonna use the `LidCavity` class from the [Smithers](https://github.com/mathLab/Smithers) library, which contains a set of parametric solutions of the Lid-driven cavity problem in a square domain. The dataset consists of 300 snapshots of the parameter fields, which in this case are the magnitude of velocity and the pressure, and the corresponding parameter values $u$ and $p$. Each snapshot corresponds to a different value of the tangential velocity $\\mu$ of the lid, which has been sampled uniformly between 0.01 m/s and 1 m/s.\n", + "\n", + "Let's start by importing the dataset:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/lib/python3.12/pty.py: DeprecationWarning: This process (pid=72738) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1;31merror\u001b[0m: \u001b[1mexternally-managed-environment\u001b[0m\n", + "\n", + "\u001b[31m×\u001b[0m This environment is externally managed\n", + "\u001b[31m╰─>\u001b[0m To install Python packages system-wide, try apt install\n", + "\u001b[31m \u001b[0m python3-xyz, where xyz is the package you are trying to\n", + "\u001b[31m \u001b[0m install.\n", + "\u001b[31m \u001b[0m \n", + "\u001b[31m \u001b[0m If you wish to install a non-Debian-packaged Python package,\n", + "\u001b[31m \u001b[0m create a virtual environment using python3 -m venv path/to/venv.\n", + "\u001b[31m \u001b[0m Then use path/to/venv/bin/python and path/to/venv/bin/pip. Make\n", + "\u001b[31m \u001b[0m sure you have python3-full installed.\n", + "\u001b[31m \u001b[0m \n", + "\u001b[31m \u001b[0m If you wish to install a non-Debian packaged Python application,\n", + "\u001b[31m \u001b[0m it may be easiest to use pipx install xyz, which will manage a\n", + "\u001b[31m \u001b[0m virtual environment for you. Make sure you have pipx installed.\n", + "\u001b[31m \u001b[0m \n", + "\u001b[31m \u001b[0m See /usr/share/doc/python3.12/README.venv for more information.\n", + "\n", + "\u001b[1;35mnote\u001b[0m: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.\n", + "\u001b[1;36mhint\u001b[0m: See PEP 668 for the detailed specification.\n" + ] + } + ], + "source": [ + "!pip install git+https://github.com/mathLab/Smithers.git #if required --break-system-packages\n", + "import smithers\n", + "from smithers.dataset import LidCavity\n", + "dataset = LidCavity()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's plot two the data points and the corresponding solution for both parameters at different snapshots, in order to better visualise the data we're using:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/1539980039.py: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/1539980039.py: SyntaxWarning: invalid escape sequence '\\m'\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(1, 3, figsize=(14, 3))\n", + "for ax, par, u in zip(axs, dataset.params[:3], dataset.snapshots['mag(v)'][:3]):\n", + " ax.tricontourf(dataset.triang, u, levels=16)\n", + " ax.set_title(f'$u$ field for $\\mu$ = {par[0]:.4f}')\n", + "fig, axs = plt.subplots(1, 3, figsize=(14, 3))\n", + "for ax, par, u in zip(axs, dataset.params[:3], dataset.snapshots['p'][:3]):\n", + " ax.tricontourf(dataset.triang, u, levels=16)\n", + " ax.set_title(f'$p$ field for $\\mu$ = {par[0]:.4f}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To train the model we only need the snapshots for the two parameters. In order to be able to work with the snapshots in **PINA** we first need to assure they're in a compatible format, hence why we start by casting them into `LabelTensor` objects:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "'''velocity magnitude data, 5041 for each snapshot'''\n", + "u=torch.tensor(dataset.snapshots['mag(v)']).float() \n", + "u = LabelTensor(u, labels=[f's{i}' for i in range(u.shape[1])])\n", + "'''pressure data, 5041 for each snapshot'''\n", + "p=torch.tensor(dataset.snapshots['p']).float()\n", + "p = LabelTensor(p, labels=[f's{i}' for i in range(p.shape[1])])\n", + "'''mu corresponding to each snapshot'''\n", + "mu=torch.tensor(dataset.params).float()\n", + "mu = LabelTensor(mu, labels=['mu'])\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The goal of our training is to be able to predict the solution for new test parameters. The first thing we need to do is validate the accuracy of the model, and in order to do so we split the 300 snapshots in training and testing dataset. In the example we set the training `ratio` to 0.9, which means that 90% of the total snapshots is used for training and the remaining 10% for testing." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "'''number of snapshots'''\n", + "n = u.shape[0]\n", + "'''training over total snapshots ratio and number of training snapshots'''\n", + "ratio = 0.9 \n", + "n_train = int(n*ratio)\n", + "'''split u and p data'''\n", + "u_train, u_test = u[:n_train], u[n_train:] #for mag(v)\n", + "p_train, p_test = p[:n_train], p[n_train:] #for p\n", + "'''split snapshots'''\n", + "mu_train, mu_test = mu[:n_train], mu[n_train:]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We now proceed by defining the model we intend to use. We inherit from the `torch.nn.Module` class, but in addition we require a `pod_rank` for the POD part and a function `rbf_kernel` in order to perform the RBF part:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "class PODRBF(torch.nn.Module):\n", + " \"\"\"\n", + " Proper orthogonal decomposition with Radial Basis Function interpolation model.\n", + " \"\"\"\n", + " def __init__(self, pod_rank, rbf_kernel):\n", + " \n", + " super().__init__()\n", + " self.pod = PODBlock(pod_rank)\n", + " self.rbf = RBFBlock(kernel=rbf_kernel)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We complete our model by adding two crucial methods. The first is `forward`, and it expands the input POD coefficients. After being expanded the POD layer needs to be fit, hence why we add a `fit` method that gives us the POD basis (current **PINA** default is by performing truncated Singular Value Decomposition). The same method then uses the basis to fit the RBF interpolation. Overall, the completed class looks like this:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "class PODRBF(torch.nn.Module):\n", + " \"\"\"\n", + " Proper orthogonal decomposition with Radial Basis Function interpolation model.\n", + " \"\"\"\n", + " def __init__(self, pod_rank, rbf_kernel):\n", + " \n", + " super().__init__()\n", + " self.pod = PODBlock(pod_rank)\n", + " self.rbf = RBFBlock(kernel=rbf_kernel)\n", + "\n", + " def forward(self, x):\n", + " \"\"\"\n", + " Defines the computation performed at every call.\n", + " :param x: The tensor to apply the forward pass.\n", + " :type x: torch.Tensor\n", + " :return: the output computed by the model.\n", + " :rtype: torch.Tensor\n", + " \"\"\"\n", + " coefficients = self.rbf(x)\n", + " return self.pod.expand(coefficients)\n", + " def fit(self, p, x):\n", + " \"\"\"\n", + " Call the :meth:`pina.model.layers.PODBlock.fit` method of the\n", + " :attr:`pina.model.layers.PODBlock` attribute to perform the POD,\n", + " and the :meth:`pina.model.layers.RBFBlock.fit` method of the\n", + " :attr:`pina.model.layers.RBFBlock` attribute to fit the interpolation.\n", + " \"\"\"\n", + " self.pod.fit(x)\n", + " self.rbf.fit(p, self.pod.reduce(x))\n", + " " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we've built our class, we can fit the model and ask it to predict the parameters for the remaining snapshots. We remember that we don't need to train the model, as it doesn't involve any learnable parameter. The only things we have to set are the rank of the decomposition and the radial basis function (here we use thin plate). Here we focus on predicting the magnitude of velocity:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "'''create the model'''\n", + "pod_rbfu = PODRBF(pod_rank=20, rbf_kernel='thin_plate_spline')\n", + "\n", + "'''fit the model to velocity training data'''\n", + "pod_rbfu.fit(mu_train, u_train)\n", + "\n", + "'''predict the parameter using the fitted model'''\n", + "u_train_rbf = pod_rbfu(mu_train)\n", + "u_test_rbf = pod_rbfu(mu_test)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally we can calculate the relative error for our model:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error summary for POD-RBF model:\n", + " Train: 8.187150e-03\n", + " Test: 5.140178e-02\n" + ] + } + ], + "source": [ + "relative_u_error_train = torch.norm(u_train_rbf - u_train)/torch.norm(u_train)\n", + "relative_u_error_test = torch.norm(u_test_rbf - u_test)/torch.norm(u_test)\n", + "\n", + "print('Error summary for POD-RBF model:')\n", + "print(f' Train: {relative_u_error_train.item():e}')\n", + "print(f' Test: {relative_u_error_test.item():e}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The results are promising! Now let's visualise them, comparing four random predicted snapshots to the true ones:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/1955650770.py: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/1955650770.py: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/1955650770.py: SyntaxWarning: invalid escape sequence '\\m'\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "idx = torch.randint(0, len(u_test), (4,))\n", + "u_idx_rbf = pod_rbfu(mu_test[idx])\n", + "fig, axs = plt.subplots(3, 4, figsize=(14, 10))\n", + "\n", + "relative_u_error_rbf = np.abs(u_test[idx] - u_idx_rbf.detach())\n", + "relative_u_error_rbf = np.where(u_test[idx] < 1e-7, 1e-7, relative_u_error_rbf/u_test[idx])\n", + " \n", + "for i, (idx_, rbf_, rbf_err_) in enumerate(\n", + " zip(idx, u_idx_rbf, relative_u_error_rbf)):\n", + " axs[0, i].set_title('Prediction for ' f'$\\mu$ = {mu_test[idx_].item():.4f}')\n", + " axs[1, i].set_title('True snapshot for ' f'$\\mu$ = {mu_test[idx_].item():.4f}')\n", + " axs[2, i].set_title('Error for ' f'$\\mu$ = {mu_test[idx_].item():.4f}')\n", + "\n", + " cm = axs[0, i].tricontourf(dataset.triang, rbf_.detach()) # POD-RBF prediction\n", + " plt.colorbar(cm, ax=axs[0, i])\n", + " \n", + " cm = axs[1, i].tricontourf(dataset.triang, u_test[idx_].flatten()) # Truth\n", + " plt.colorbar(cm, ax=axs[1, i])\n", + "\n", + " cm = axs[2, i].tripcolor(dataset.triang, rbf_err_, norm=matplotlib.colors.LogNorm()) # Error for POD-RBF\n", + " plt.colorbar(cm, ax=axs[2, i])\n", + " \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Overall we have reached a good level of approximation while avoiding time-consuming training procedures. Let's try doing the same to predict the pressure snapshots:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error summary for POD-RBF model:\n", + " Train: 5.242423e-02\n", + " Test: 2.334622e+06\n" + ] + } + ], + "source": [ + "'''create the model'''\n", + "pod_rbfp = PODRBF(pod_rank=20, rbf_kernel='thin_plate_spline')\n", + "\n", + "'''fit the model to pressure training data'''\n", + "pod_rbfp.fit(mu_train, p_train)\n", + "\n", + "'''predict the parameter using the fitted model'''\n", + "p_train_rbf = pod_rbfp(mu_train)\n", + "p_test_rbf = pod_rbfp(mu_test)\n", + "\n", + "relative_p_error_train = torch.norm(p_train_rbf - p_train)/torch.norm(p_train)\n", + "relative_p_error_test = torch.norm(p_test_rbf - p_test)/torch.norm(p_test)\n", + "\n", + "print('Error summary for POD-RBF model:')\n", + "print(f' Train: {relative_p_error_train.item():e}')\n", + "print(f' Test: {relative_p_error_test.item():e}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Unfortunately here we obtain a very high relative test error, although this is likely due to the nature of the available data. Looking at the plots we can see that the pressure field is subject to high variations between subsequent snapshots, especially here: " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/772579621.py: SyntaxWarning: invalid escape sequence '\\m'\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 3, figsize=(14, 6))\n", + "for ax, par, u in zip(axs.ravel(), dataset.params[66:72], dataset.snapshots['p'][66:72]):\n", + " cm = ax.tricontourf(dataset.triang, u, levels=16)\n", + " plt.colorbar(cm, ax=ax)\n", + " ax.set_title(f'$p$ field for $\\mu$ = {par[0]:.4f}')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Or here:" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "<>: SyntaxWarning: invalid escape sequence '\\m'\n", + "/tmp/ipykernel_72738/651675647.py: SyntaxWarning: invalid escape sequence '\\m'\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, axs = plt.subplots(2, 3, figsize=(14, 6))\n", + "for ax, par, u in zip(axs.ravel(), dataset.params[98:104], dataset.snapshots['p'][98:104]):\n", + " cm = ax.tricontourf(dataset.triang, u, levels=16)\n", + " plt.colorbar(cm, ax=ax)\n", + " ax.set_title(f'$p$ field for $\\mu$ = {par[0]:.4f}')\n", + "plt.tight_layout() \n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scrolling through the velocity snapshots we can observe a more regular behaviour, with no such variations in subsequent snapshots. Moreover, if we decide not to consider the abovementioned \"problematic\" snapshots, we can already observe a huge improvement:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error summary for POD-RBF model:\n", + " Train: 3.715160e-02\n", + " Test: 1.692707e-01\n" + ] + } + ], + "source": [ + "'''excluding problematic snapshots'''\n", + "data = list(range(300))\n", + "data_to_consider = data[:67] + data[71:100] + data[102:]\n", + "'''proceed as before'''\n", + "newp=torch.tensor(dataset.snapshots['p'][data_to_consider]).float()\n", + "newp = LabelTensor(newp, labels=[f's{i}' for i in range(newp.shape[1])])\n", + "\n", + "newmu=torch.tensor(dataset.params[data_to_consider]).float()\n", + "newmu = LabelTensor(newmu, labels=['mu'])\n", + "\n", + "newn = newp.shape[0]\n", + "ratio = 0.9 \n", + "new_train = int(newn*ratio)\n", + "\n", + "new_p_train, new_p_test = newp[:new_train], newp[new_train:] \n", + "\n", + "new_mu_train, new_mu_test = newmu[:new_train], newmu[new_train:]\n", + "\n", + "new_pod_rbfp = PODRBF(pod_rank=20, rbf_kernel='thin_plate_spline')\n", + "\n", + "new_pod_rbfp.fit(new_mu_train, new_p_train)\n", + "\n", + "new_p_train_rbf = new_pod_rbfp(new_mu_train)\n", + "new_p_test_rbf = new_pod_rbfp(new_mu_test)\n", + "\n", + "new_relative_p_error_train = torch.norm(new_p_train_rbf - new_p_train)/torch.norm(new_p_train)\n", + "new_relative_p_error_test = torch.norm(new_p_test_rbf - new_p_test)/torch.norm(new_p_test)\n", + "\n", + "print('Error summary for POD-RBF model:')\n", + "print(f' Train: {new_relative_p_error_train.item():e}')\n", + "print(f' Test: {new_relative_p_error_test.item():e}')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What's next?\n", + "\n", + "Congratulations on completing the **PINA** tutorial on building and using a custom POD class! Now you can try:\n", + "\n", + "1. Varying the inputs of the model (for a list of the supported RB functions look at the `rbf_layer.py` file in `pina.model.block`)\n", + "\n", + "2. Changing the POD model, for example using Artificial Neural Networks. For a more in depth overview of POD-NN and a comparison with the POD-RBF model already shown, look at [Tutorial: Reduced order model (POD-RBF or POD-NN) for parametric problems](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial9/tutorial.ipynb)\n", + "\n", + "3. Building your own classes or adapt the one shown to other datasets/problems" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tutorials/tutorial14/tutorial.py b/tutorials/tutorial14/tutorial.py new file mode 100644 index 000000000..a97c75441 --- /dev/null +++ b/tutorials/tutorial14/tutorial.py @@ -0,0 +1,311 @@ +#!/usr/bin/env python +# coding: utf-8 + +# # Tutorial: Predicting Lid-driven cavity problem parameters with POD-RBF +# +# [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial14/tutorial.ipynb) + +# In this tutorial we will show how to use the **PINA** library to predict the distributions of velocity and pressure the Lid-driven Cavity problem, a benchmark in Computational Fluid Dynamics. The problem consists of a square cavity with a lid on top moving with tangential velocity (by convention to the right), with the addition of no-slip conditions on the walls of the cavity and null static pressure on the lower left angle. +# +# Our goal is to predict the distributions of velocity and pressure of the fluid inside the cavity as the Reynolds number of the inlet fluid varies. To do so we're using a Reduced Order Model (ROM) based on Proper Orthogonal Decomposition (POD). The parametric solution manifold is approximated here with Radial Basis Function (RBF) Interpolation, a common mesh-free interpolation method that doesn't require trainers or solvers as the found radial basis functions are used to interpolate new points. + +# Let's start with the necessary imports. We're particularly interested in the `PODBlock` and `RBFBlock` classes which will allow us to define the POD-RBF model. + +# In[1]: + + +## routine needed to run the notebook on Google Colab +try: + import google.colab + IN_COLAB = True +except: + IN_COLAB = False +if IN_COLAB: + get_ipython().system('pip install "pina-mathlab"') + +get_ipython().run_line_magic('matplotlib', 'inline') + +import matplotlib.pyplot as plt +plt.style.use('tableau-colorblind10') +import torch +import pina +from pina.model.block import PODBlock, RBFBlock +from pina import LabelTensor + + +# In this tutorial we're gonna use the `LidCavity` class from the [Smithers](https://github.com/mathLab/Smithers) library, which contains a set of parametric solutions of the Lid-driven cavity problem in a square domain. The dataset consists of 300 snapshots of the parameter fields, which in this case are the magnitude of velocity and the pressure, and the corresponding parameter values $u$ and $p$. Each snapshot corresponds to a different value of the tangential velocity $\mu$ of the lid, which has been sampled uniformly between 0.01 m/s and 1 m/s. +# +# Let's start by importing the dataset: + +# In[ ]: + + +get_ipython().system('pip install git+https://github.com/mathLab/Smithers.git #if required --break-system-packages') +import smithers +from smithers.dataset import LidCavity +dataset = LidCavity() + + +# Let's plot two the data points and the corresponding solution for both parameters at different snapshots, in order to better visualise the data we're using: + +# In[3]: + + +fig, axs = plt.subplots(1, 3, figsize=(14, 3)) +for ax, par, u in zip(axs, dataset.params[:3], dataset.snapshots['mag(v)'][:3]): + ax.tricontourf(dataset.triang, u, levels=16) + ax.set_title(f'$u$ field for $\mu$ = {par[0]:.4f}') +fig, axs = plt.subplots(1, 3, figsize=(14, 3)) +for ax, par, u in zip(axs, dataset.params[:3], dataset.snapshots['p'][:3]): + ax.tricontourf(dataset.triang, u, levels=16) + ax.set_title(f'$p$ field for $\mu$ = {par[0]:.4f}') + + +# To train the model we only need the snapshots for the two parameters. In order to be able to work with the snapshots in **PINA** we first need to assure they're in a compatible format, hence why we start by casting them into `LabelTensor` objects: + +# In[4]: + + +'''velocity magnitude data, 5041 for each snapshot''' +u=torch.tensor(dataset.snapshots['mag(v)']).float() +u = LabelTensor(u, labels=[f's{i}' for i in range(u.shape[1])]) +'''pressure data, 5041 for each snapshot''' +p=torch.tensor(dataset.snapshots['p']).float() +p = LabelTensor(p, labels=[f's{i}' for i in range(p.shape[1])]) +'''mu corresponding to each snapshot''' +mu=torch.tensor(dataset.params).float() +mu = LabelTensor(mu, labels=['mu']) + + +# The goal of our training is to be able to predict the solution for new test parameters. The first thing we need to do is validate the accuracy of the model, and in order to do so we split the 300 snapshots in training and testing dataset. In the example we set the training `ratio` to 0.9, which means that 90% of the total snapshots is used for training and the remaining 10% for testing. + +# In[5]: + + +'''number of snapshots''' +n = u.shape[0] +'''training over total snapshots ratio and number of training snapshots''' +ratio = 0.9 +n_train = int(n*ratio) +'''split u and p data''' +u_train, u_test = u[:n_train], u[n_train:] #for mag(v) +p_train, p_test = p[:n_train], p[n_train:] #for p +'''split snapshots''' +mu_train, mu_test = mu[:n_train], mu[n_train:] + + +# We now proceed by defining the model we intend to use. We inherit from the `torch.nn.Module` class, but in addition we require a `pod_rank` for the POD part and a function `rbf_kernel` in order to perform the RBF part: + +# In[6]: + + +class PODRBF(torch.nn.Module): + """ + Proper orthogonal decomposition with Radial Basis Function interpolation model. + """ + def __init__(self, pod_rank, rbf_kernel): + + super().__init__() + self.pod = PODBlock(pod_rank) + self.rbf = RBFBlock(kernel=rbf_kernel) + + +# We complete our model by adding two crucial methods. The first is `forward`, and it expands the input POD coefficients. After being expanded the POD layer needs to be fit, hence why we add a `fit` method that gives us the POD basis (current **PINA** default is by performing truncated Singular Value Decomposition). The same method then uses the basis to fit the RBF interpolation. Overall, the completed class looks like this: + +# In[7]: + + +class PODRBF(torch.nn.Module): + """ + Proper orthogonal decomposition with Radial Basis Function interpolation model. + """ + def __init__(self, pod_rank, rbf_kernel): + + super().__init__() + self.pod = PODBlock(pod_rank) + self.rbf = RBFBlock(kernel=rbf_kernel) + + def forward(self, x): + """ + Defines the computation performed at every call. + :param x: The tensor to apply the forward pass. + :type x: torch.Tensor + :return: the output computed by the model. + :rtype: torch.Tensor + """ + coefficients = self.rbf(x) + return self.pod.expand(coefficients) + def fit(self, p, x): + """ + Call the :meth:`pina.model.layers.PODBlock.fit` method of the + :attr:`pina.model.layers.PODBlock` attribute to perform the POD, + and the :meth:`pina.model.layers.RBFBlock.fit` method of the + :attr:`pina.model.layers.RBFBlock` attribute to fit the interpolation. + """ + self.pod.fit(x) + self.rbf.fit(p, self.pod.reduce(x)) + + + +# Now that we've built our class, we can fit the model and ask it to predict the parameters for the remaining snapshots. We remember that we don't need to train the model, as it doesn't involve any learnable parameter. The only things we have to set are the rank of the decomposition and the radial basis function (here we use thin plate). Here we focus on predicting the magnitude of velocity: + +# In[8]: + + +'''create the model''' +pod_rbfu = PODRBF(pod_rank=20, rbf_kernel='thin_plate_spline') + +'''fit the model to velocity training data''' +pod_rbfu.fit(mu_train, u_train) + +'''predict the parameter using the fitted model''' +u_train_rbf = pod_rbfu(mu_train) +u_test_rbf = pod_rbfu(mu_test) + + +# Finally we can calculate the relative error for our model: + +# In[9]: + + +relative_u_error_train = torch.norm(u_train_rbf - u_train)/torch.norm(u_train) +relative_u_error_test = torch.norm(u_test_rbf - u_test)/torch.norm(u_test) + +print('Error summary for POD-RBF model:') +print(f' Train: {relative_u_error_train.item():e}') +print(f' Test: {relative_u_error_test.item():e}') + + +# The results are promising! Now let's visualise them, comparing four random predicted snapshots to the true ones: + +# In[10]: + + +import numpy as np +import matplotlib +import matplotlib.pyplot as plt + +idx = torch.randint(0, len(u_test), (4,)) +u_idx_rbf = pod_rbfu(mu_test[idx]) +fig, axs = plt.subplots(3, 4, figsize=(14, 10)) + +relative_u_error_rbf = np.abs(u_test[idx] - u_idx_rbf.detach()) +relative_u_error_rbf = np.where(u_test[idx] < 1e-7, 1e-7, relative_u_error_rbf/u_test[idx]) + +for i, (idx_, rbf_, rbf_err_) in enumerate( + zip(idx, u_idx_rbf, relative_u_error_rbf)): + axs[0, i].set_title('Prediction for ' f'$\mu$ = {mu_test[idx_].item():.4f}') + axs[1, i].set_title('True snapshot for ' f'$\mu$ = {mu_test[idx_].item():.4f}') + axs[2, i].set_title('Error for ' f'$\mu$ = {mu_test[idx_].item():.4f}') + + cm = axs[0, i].tricontourf(dataset.triang, rbf_.detach()) # POD-RBF prediction + plt.colorbar(cm, ax=axs[0, i]) + + cm = axs[1, i].tricontourf(dataset.triang, u_test[idx_].flatten()) # Truth + plt.colorbar(cm, ax=axs[1, i]) + + cm = axs[2, i].tripcolor(dataset.triang, rbf_err_, norm=matplotlib.colors.LogNorm()) # Error for POD-RBF + plt.colorbar(cm, ax=axs[2, i]) + +plt.show() + + +# Overall we have reached a good level of approximation while avoiding time-consuming training procedures. Let's try doing the same to predict the pressure snapshots: + +# In[11]: + + +'''create the model''' +pod_rbfp = PODRBF(pod_rank=20, rbf_kernel='thin_plate_spline') + +'''fit the model to pressure training data''' +pod_rbfp.fit(mu_train, p_train) + +'''predict the parameter using the fitted model''' +p_train_rbf = pod_rbfp(mu_train) +p_test_rbf = pod_rbfp(mu_test) + +relative_p_error_train = torch.norm(p_train_rbf - p_train)/torch.norm(p_train) +relative_p_error_test = torch.norm(p_test_rbf - p_test)/torch.norm(p_test) + +print('Error summary for POD-RBF model:') +print(f' Train: {relative_p_error_train.item():e}') +print(f' Test: {relative_p_error_test.item():e}') + + +# Unfortunately here we obtain a very high relative test error, although this is likely due to the nature of the available data. Looking at the plots we can see that the pressure field is subject to high variations between subsequent snapshots, especially here: + +# In[12]: + + +fig, axs = plt.subplots(2, 3, figsize=(14, 6)) +for ax, par, u in zip(axs.ravel(), dataset.params[66:72], dataset.snapshots['p'][66:72]): + cm = ax.tricontourf(dataset.triang, u, levels=16) + plt.colorbar(cm, ax=ax) + ax.set_title(f'$p$ field for $\mu$ = {par[0]:.4f}') +plt.tight_layout() +plt.show() + + + +# Or here: + +# In[13]: + + +fig, axs = plt.subplots(2, 3, figsize=(14, 6)) +for ax, par, u in zip(axs.ravel(), dataset.params[98:104], dataset.snapshots['p'][98:104]): + cm = ax.tricontourf(dataset.triang, u, levels=16) + plt.colorbar(cm, ax=ax) + ax.set_title(f'$p$ field for $\mu$ = {par[0]:.4f}') +plt.tight_layout() +plt.show() + + +# Scrolling through the velocity snapshots we can observe a more regular behaviour, with no such variations in subsequent snapshots. Moreover, if we decide not to consider the abovementioned "problematic" snapshots, we can already observe a huge improvement: + +# In[14]: + + +'''excluding problematic snapshots''' +data = list(range(300)) +data_to_consider = data[:67] + data[71:100] + data[102:] +'''proceed as before''' +newp=torch.tensor(dataset.snapshots['p'][data_to_consider]).float() +newp = LabelTensor(newp, labels=[f's{i}' for i in range(newp.shape[1])]) + +newmu=torch.tensor(dataset.params[data_to_consider]).float() +newmu = LabelTensor(newmu, labels=['mu']) + +newn = newp.shape[0] +ratio = 0.9 +new_train = int(newn*ratio) + +new_p_train, new_p_test = newp[:new_train], newp[new_train:] + +new_mu_train, new_mu_test = newmu[:new_train], newmu[new_train:] + +new_pod_rbfp = PODRBF(pod_rank=20, rbf_kernel='thin_plate_spline') + +new_pod_rbfp.fit(new_mu_train, new_p_train) + +new_p_train_rbf = new_pod_rbfp(new_mu_train) +new_p_test_rbf = new_pod_rbfp(new_mu_test) + +new_relative_p_error_train = torch.norm(new_p_train_rbf - new_p_train)/torch.norm(new_p_train) +new_relative_p_error_test = torch.norm(new_p_test_rbf - new_p_test)/torch.norm(new_p_test) + +print('Error summary for POD-RBF model:') +print(f' Train: {new_relative_p_error_train.item():e}') +print(f' Test: {new_relative_p_error_test.item():e}') + + +# ## What's next? +# +# Congratulations on completing the **PINA** tutorial on building and using a custom POD class! Now you can try: +# +# 1. Varying the inputs of the model (for a list of the supported RB functions look at the `rbf_layer.py` file in `pina.model.block`) +# +# 2. Changing the POD model, for example using Artificial Neural Networks. For a more in depth overview of POD-NN and a comparison with the POD-RBF model already shown, look at [Tutorial: Reduced order model (POD-RBF or POD-NN) for parametric problems](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial9/tutorial.ipynb) +# +# 3. Building your own classes or adapt the one shown to other datasets/problems