diff --git a/docs/source/_rst/tutorial1/tutorial.rst b/docs/source/_rst/tutorial1/tutorial.rst index 1cab5da..3ec2746 100644 --- a/docs/source/_rst/tutorial1/tutorial.rst +++ b/docs/source/_rst/tutorial1/tutorial.rst @@ -1,108 +1,106 @@ Tutorial 1: Physics Informed Neural Networks on PINA ==================================================== -In this tutorial we will show the typical use case of PINA on a toy -problem solved by Physics Informed Problems. Specifically, the tutorial -aims to introduce the following topics: +In this tutorial, we will demonstrate a typical use case of PINA on a +toy problem. Specifically, the tutorial aims to introduce the following +topics: - Defining a PINA Problem, -- Build a ``PINN`` Solver, +- Building a ``pinn`` object, +- Sampling points in a domain -We will show in detailed each step, and at the end we will solve a very -simple problem with PINA. +These are the three main steps needed **before** training a Physics +Informed Neural Network (PINN). We will show each step in detail, and at +the end, we will solve the problem. -Defining a Problem ------------------- +PINA Problem +------------ -Initialize the Problem class -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Initialize the ``Problem`` class +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -The problem definition in the PINA framework is done by building a -phython ``class``, inherited from ``AbsractProblem``. A problem is an -object which explains what the solver is supposed to solve. For Physics -Informed Neural Networks, a problem can be inherited from one or more -problem (already implemented) classes (``SpatialProblem``, -``TimeDependentProblem``, ``ParametricProblem``), depending on the -nature of the problem treated. Let’s see an example to better -understand: - -Simple Ordinary Differential Equation Consider the following: -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Problem definition in the PINA framework is done by building a python +``class``, which inherits from one or more problem classes +(``SpatialProblem``, ``TimeDependentProblem``, ``ParametricProblem``) +depending on the nature of the problem. Below is an example: #### Simple +Ordinary Differential Equation Consider the following: .. math:: - \begin{cases} - \frac{d}{dx}u(x) &= u(x) \quad x\in(0,1)\\ - u(x=0) &= 1 \\ - \end{cases} -with analytical solution :math:`u(x) = e^x`. In this case we have that -our ODE depends only on the spatial variable :math:`x\in(0,1)` , this -means that our problem class is going to be inherited from + + \begin{equation} + \begin{cases} + \frac{d}{dx}u(x) &= u(x) \quad x\in(0,1)\\ + u(x=0) &= 1 \\ + \end{cases} + \end{equation} + +with the analytical solution :math:`u(x) = e^x`. In this case, our ODE +depends only on the spatial variable :math:`x\in(0,1)` , meaning that +our ``Problem`` class is going to be inherited from the ``SpatialProblem`` class: .. code:: python - from pina.problem import SpatialProblem - from pina.geometry import CartesianDomain + from pina.problem import SpatialProblem + from pina import CartesianProblem - class SimpleODE(SpatialProblem): - - output_variables = ['u'] - spatial_domain = CartesianDomain({'x': [0, 1]}) + class SimpleODE(SpatialProblem): + + output_variables = ['u'] + spatial_domain = CartesianProblem({'x': [0, 1]}) - # other stuff ... + # other stuff ... Notice that we define ``output_variables`` as a list of symbols, indicating the output variables of our equation (in this case only :math:`u`). The ``spatial_domain`` variable indicates where the sample points are going to be sampled in the domain, in this case -:math:`x\in(0,1)` +:math:`x\in[0,1]`. -What about if we also have a time depencency in the equation? Well in -that case our ``class`` will inherit from both ``SpatialProblem`` and +What about if our equation is also time dependent? In this case, our +``class`` will inherit from both ``SpatialProblem`` and ``TimeDependentProblem``: -.. code:: python +.. code:: ipython3 - from pina.problem import SpatialProblem, TimeDependentProblem - from pina.geometry import CartesianDomain + from pina.problem import SpatialProblem, TimeDependentProblem + from pina import CartesianDomain + + class TimeSpaceODE(SpatialProblem, TimeDependentProblem): + + output_variables = ['u'] + spatial_domain = CartesianDomain({'x': [0, 1]}) + temporal_domain = CartesianDomain({'t': [0, 1]}) + + # other stuff ... - class TimeSpaceODE(SpatialProblem, TimeDependentProblem): - - output_variables = ['u'] - spatial_domain = CartesianDomain({'x': [0, 1]}) - temporal_domain = CartesianDomain({'x': [0, 1]}) +where we have included the ``temporal_domain`` variable, indicating the +time domain wanted for the solution. - # other stuff ... - -where we have included the ``temporal_domain`` variable indicating the -time domain where we want the solution. - -Summarizing, in PINA we can initialize a problem with a class which is -inherited from three base classes: ``SpatialProblem``, +In summary, using PINA, we can initialize a problem with a class which +inherits from three base classes: ``SpatialProblem``, ``TimeDependentProblem``, ``ParametricProblem``, depending on the type of problem we are considering. For reference: \* ``SpatialProblem`` -:math:`\rightarrow` spatial variable(s) presented in the differential -equation \* ``TimeDependentProblem`` :math:`\rightarrow` time -variable(s) presented in the differential equation \* -``ParametricProblem`` :math:`\rightarrow` parameter(s) presented in the -differential equation +:math:`\rightarrow` a differential equation with spatial variable(s) \* +``TimeDependentProblem`` :math:`\rightarrow` a time-dependent +differential equation \* ``ParametricProblem`` :math:`\rightarrow` a +parametrized differential equation -Write the problem class -~~~~~~~~~~~~~~~~~~~~~~~ +Write the ``Problem`` class +~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Once the problem class is initialized we need to write the differential -equation in PINA language. For doing this we need to load the pina -operators found in ``pina.operators`` module. Let’s again consider the -Equation (1) and try to write the PINA model class: +Once the ``Problem`` class is initialized, we need to represent the +differential equation in PINA. In order to do this, we need to load the +PINA operators from ``pina.operators`` module. Again, we'll consider +Equation (1) and represent it in PINA: .. code:: ipython3 from pina.problem import SpatialProblem from pina.operators import grad - from pina.geometry import CartesianDomain - from pina.equation import Equation - from pina import Condition + from pina import Condition, CartesianDomain + from pina.equation.equation import Equation import torch @@ -118,73 +116,72 @@ Equation (1) and try to write the PINA model class: # computing the derivative u_x = grad(output_, input_, components=['u'], d=['x']) - # extracting u input variable + # extracting the u input variable u = output_.extract(['u']) - # calculate residual and return it + # calculate the residual and return it return u_x - u - # defining initial condition + # defining the initial condition def initial_condition(input_, output_): - # setting initial value + # setting the initial value value = 1.0 - # extracting u input variable + # extracting the u input variable u = output_.extract(['u']) - # calculate residual and return it + # calculate the residual and return it return u - value - # Conditions to hold + # conditions to hold conditions = { 'x0': Condition(location=CartesianDomain({'x': 0.}), equation=Equation(initial_condition)), 'D': Condition(location=CartesianDomain({'x': [0, 1]}), equation=Equation(ode_equation)), } - # defining true solution + # sampled points (see below) + input_pts = None + + # defining the true solution def truth_solution(self, pts): return torch.exp(pts.extract(['x'])) +After we define the ``Problem`` class, we need to write different class +methods, where each method is a function returning a residual. These +functions are the ones minimized during PINN optimization, given the +initial conditions. For example, in the domain :math:`[0,1]`, the ODE +equation (``ode_equation``) must be satisfied. We represent this by +returning the difference between subtracting the variable ``u`` from its +gradient (the residual), which we hope to minimize to 0. This is done +for all conditions (``ode_equation``, ``initial_condition``). -After the defition of the Class we need to write different class -methods, where each method is a function returning a residual. This -functions are the ones minimized during the PINN optimization, for the -different conditions. For example, in the domain :math:`(0,1)` the ODE -equation (``ode_equation``) must be satisfied, so we write it by putting -all the ODE equation on the right hand side, such that we return the -zero residual. This is done for all the conditions (``ode_equation``, -``initial_condition``). Notice that we do not pass directly a ``python`` -function, but an ``Equation`` object, which is initialized with the -``python`` function. This is done so that all the computations, and -internal checks are done inside PINA. +Once we have defined the function, we need to tell the neural network +where these methods are to be applied. To do so, we use the +``Condition`` class. In the ``Condition`` class, we pass the location +points and the function we want minimized on those points (other +possibilities are allowed, see the documentation for reference) as +parameters. -Once we have defined the function we need to tell the network where -these methods have to be applied. For doing this we use the class -``Condition``. In ``Condition`` we pass the location points and the -function to be minimized on those points (other possibilities are -allowed, see the documentation for reference). +Finally, it's possible to define a ``truth_solution`` function, which +can be useful if we want to plot the results and see how the real +solution compares to the expected (true) solution. Notice that the +``truth_solution`` function is a method of the ``PINN`` class, but is +not mandatory for problem definition. -Finally, it’s possible to defing the ``truth_solution`` function, which -can be useful if we want to plot the results and see a comparison of -real vs expected solution. Notice that ``truth_solution`` function is a -method of the ``PINN`` class, but it is not mandatory for the problem -definition. +Build the ``PINN`` object +------------------------- -Build PINN object ------------------ - -In PINA we have already developed different solvers, one of them is -``PINN``. The basics requirements for building a ``PINN`` model are a -problem and a model. We have already covered the problem definition. For -the model one can use the default models provided in PINA or use a -custom model. We will not go into the details of model definition, -Tutorial2 and Tutorial3 treat the topic in detail. +The basic requirements for building a ``PINN`` model are a ``Problem`` +and a model. We have just covered the ``Problem`` definition. For the +model parameter, one can use either the default models provided in PINA +or a custom model. We will not go into the details of model definition +(see Tutorial2 and Tutorial3 for more details on model definition). .. code:: ipython3 from pina.model import FeedForward - from pina.solvers import PINN + from pina import PINN # initialize the problem problem = SimpleODE() @@ -197,76 +194,67 @@ Tutorial2 and Tutorial3 treat the topic in detail. input_dimensions=len(problem.input_variables) ) - # create the PINN object, see the PINN documentation for extra argument in the constructor + # create the PINN object pinn = PINN(problem, model) - -Creating the pinn object is fairly simple by using the ``PINN`` class, -different optional inputs can be passed: optimizer, batch size, … (see +Creating the ``PINN`` object is fairly simple. Different optional +parameters include: optimizer, batch size, ... (see `documentation `__ for reference). -Sample points in the domain and create the Trainer --------------------------------------------------- +Sample points in the domain +--------------------------- Once the ``PINN`` object is created, we need to generate the points for -starting the optimization. For doing this we use the -``.discretise_domain`` method of the ``AbstractProblem`` class. Let’s -see some methods to sample in :math:`(0,1 )`. +starting the optimization. To do so, we use the ``sample`` method of the +``CartesianDomain`` class. Below are three examples of sampling methods +on the :math:`[0,1]` domain: .. code:: ipython3 - # sampling 20 points in (0, 1) with discrite step - problem.discretise_domain(20, 'grid', locations=['D']) + # sampling 20 points in [0, 1] through discretization + pinn.problem.discretise_domain(n=20, mode='grid', variables=['x']) - # sampling 20 points in (0, 1) with latin hypercube - problem.discretise_domain(20, 'latin', locations=['D']) + # sampling 20 points in (0, 1) through latin hypercube samping + pinn.problem.discretise_domain(n=20, mode='latin', variables=['x']) # sampling 20 points in (0, 1) randomly - problem.discretise_domain(20, 'random', locations=['D']) - - -We are going to use equispaced points for sampling. We need to sample in -all the conditions domains. In our case we sample in ``D`` and ``x0``. - -.. code:: ipython3 - - # sampling for training - problem.discretise_domain(1, 'random', locations=['x0']) - problem.discretise_domain(20, 'grid', locations=['D']) - + pinn.problem.discretise_domain(n=20, mode='random', variables=['x']) Very simple training and plotting ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Once we have defined the PINA model, created a network and sampled -points in the domain, we have everything that is necessary for training -a ``PINN``. For training we use the ``Trainer`` class. Here we show a -very short training and some method for plotting the results. Notice -that by default all relevant metrics (e.g. MSE error during training) is -going to be tracked using a ``lightining`` logger, by default -``CSVLogger``. If you want to track the metric by yourself without a -logger, use ``pina.callbacks.MetricTracker``. +Once we have defined the PINA model, created a network, and sampled +points in the domain, we have everything necessary for training a PINN. +To do so, we make use of the ``Trainer`` class. .. code:: ipython3 - # create the trainer - from pina.trainer import Trainer - from pina.callbacks import MetricTracker + from pina import Trainer - trainer = Trainer(solver=pinn, max_epochs=3000, callbacks=[MetricTracker()]) + # initialize trainer + trainer = Trainer(pinn) - # train + # train the model trainer.train() .. parsed-literal:: - GPU available: False, used: False + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs - /Users/dariocoscia/anaconda3/envs/pina/lib/python3.9/site-packages/lightning/pytorch/trainer/connectors/logger_connector/logger_connector.py:67: UserWarning: Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `lightning.pytorch` package, due to potential conflicts with other packages in the ML ecosystem. For this reason, `logger=True` will use `CSVLogger` as the default logger, unless the `tensorboard` or `tensorboardX` packages are found. Please `pip install lightning[extra]` or one of them to enable TensorBoard support by default - warning_cache.warn( + /u/n/ndemo/.local/lib/python3.9/site-packages/lightning/pytorch/loops/utilities.py:72: PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`. + rank_zero_warn( + 2023-10-17 10:02:21.318700: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. + 2023-10-17 10:02:21.345355: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. + To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. + 2023-10-17 10:02:23.572602: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT + /opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0) + warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of " + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -279,66 +267,13 @@ logger, use ``pina.callbacks.MetricTracker``. 0.001 Total estimated model params size (MB) -.. parsed-literal:: - - Epoch 2999: : 1it [00:00, 226.55it/s, v_num=10, mean_loss=2.14e-5, x0_loss=4.24e-5, D_loss=2.93e-7] .. parsed-literal:: - `Trainer.fit` stopped: `max_epochs=3000` reached. + Training: 0it [00:00, ?it/s] .. parsed-literal:: - Epoch 2999: : 1it [00:00, 159.67it/s, v_num=10, mean_loss=2.14e-5, x0_loss=4.24e-5, D_loss=2.93e-7] - - -After the training we can inspect trainer logged metrics (by default -PINA logs mean square error residual loss). The logged metrics can be -accessed online using one of the ``Lightinig`` loggers. The final loss -can be accessed by ``trainer.logged_metrics``. - -.. code:: ipython3 - - # inspecting final loss - trainer.logged_metrics - - - - - -.. parsed-literal:: - - {'mean_loss': tensor(2.1357e-05), - 'x0_loss': tensor(4.2421e-05), - 'D_loss': tensor(2.9291e-07)} - - - -By using the ``Plotter`` class from PINA we can also do some quatitative -plots of the solution. - -.. code:: ipython3 - - from pina.plotter import Plotter - - # plotting the loss - plotter = Plotter() - plotter.plot(trainer=trainer) - - - -.. image:: tutorial_files/tutorial_21_0.png - - -The solution is completely overlapped with the actual one. We can also -plot easily the loss: - -.. code:: ipython3 - - plotter.plot_loss(trainer=trainer, metric='mean_loss', log_scale=True) - - - -.. image:: tutorial_files/tutorial_23_0.png + `Trainer.fit` stopped: `max_epochs=1000` reached. diff --git a/docs/source/_rst/tutorial2/tutorial.rst b/docs/source/_rst/tutorial2/tutorial.rst index 1211f5a..25c219f 100644 --- a/docs/source/_rst/tutorial2/tutorial.rst +++ b/docs/source/_rst/tutorial2/tutorial.rst @@ -8,12 +8,18 @@ This tutorial presents how to solve with Physics-Informed Neural Networks a 2D Poisson problem with Dirichlet boundary conditions. Using extrafeatures. -The problem is written as: :raw-latex:`\begin{equation} -\begin{cases} -\Delta u = \sin{(\pi x)} \sin{(\pi y)} \text{ in } D, \\ -u = 0 \text{ on } \Gamma_1 \cup \Gamma_2 \cup \Gamma_3 \cup \Gamma_4, -\end{cases} -\end{equation}` where :math:`D` is a square domain :math:`[0,1]^2`, and +The problem is written as: + +.. raw:: latex + + \begin{equation} + \begin{cases} + \Delta u = \sin{(\pi x)} \sin{(\pi y)} \text{ in } D, \\ + u = 0 \text{ on } \Gamma_1 \cup \Gamma_2 \cup \Gamma_3 \cup \Gamma_4, + \end{cases} + \end{equation} + +where :math:`D` is a square domain :math:`[0,1]^2`, and :math:`\Gamma_i`, with :math:`i=1,...,4`, are the boundaries of the square. @@ -37,8 +43,8 @@ First of all, some useful imports. Now, the Poisson problem is written in PINA code as a class. The equations are written as *conditions* that should be satisfied in the -corresponding domains. *truth_solution* is the exact solution which will -be compared with the predicted one. +corresponding domains. *truth\_solution* is the exact solution which +will be compared with the predicted one. .. code:: ipython3 @@ -107,12 +113,20 @@ of 0.006. These parameters can be modified as desired. .. parsed-literal:: - GPU available: False, used: False + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs - /Users/dariocoscia/anaconda3/envs/pina/lib/python3.9/site-packages/lightning/pytorch/trainer/connectors/logger_connector/logger_connector.py:67: UserWarning: Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `lightning.pytorch` package, due to potential conflicts with other packages in the ML ecosystem. For this reason, `logger=True` will use `CSVLogger` as the default logger, unless the `tensorboard` or `tensorboardX` packages are found. Please `pip install lightning[extra]` or one of them to enable TensorBoard support by default - warning_cache.warn( + Missing logger folder: /u/n/ndemo/PINA/tutorials/tutorial2/lightning_logs + 2023-10-17 10:09:18.208459: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. + 2023-10-17 10:09:18.235849: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. + To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. + 2023-10-17 10:09:20.462393: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT + /opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0) + warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of " + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -125,21 +139,18 @@ of 0.006. These parameters can be modified as desired. 0.001 Total estimated model params size (MB) + .. parsed-literal:: - Epoch 999: : 1it [00:00, 129.50it/s, v_num=45, mean_loss=0.00196, gamma1_loss=0.0093, gamma2_loss=0.000146, gamma3_loss=8.16e-5, gamma4_loss=0.000201, D_loss=8.44e-5] + Training: 0it [00:00, ?it/s] + .. parsed-literal:: `Trainer.fit` stopped: `max_epochs=1000` reached. -.. parsed-literal:: - - Epoch 999: : 1it [00:00, 101.25it/s, v_num=45, mean_loss=0.00196, gamma1_loss=0.0093, gamma2_loss=0.000146, gamma3_loss=8.16e-5, gamma4_loss=0.000201, D_loss=8.44e-5] - - -Now the *Plotter* class is used to plot the results. The solution +Now the ``Plotter`` class is used to plot the results. The solution predicted by the neural network is plotted on the left, the exact one is represented at the center and on the right the error between the exact and the predicted solutions is showed. @@ -151,7 +162,7 @@ and the predicted solutions is showed. -.. image:: tutorial_files/tutorial_11_0.png +.. image:: output_11_0.png The problem solution with extra-features @@ -162,9 +173,11 @@ is now defined, with an additional input variable, named extra-feature, which coincides with the forcing term in the Laplace equation. The set of input variables to the neural network is: -:raw-latex:`\begin{equation} -[x, y, k(x, y)], \text{ with } k(x, y)=\sin{(\pi x)}\sin{(\pi y)}, -\end{equation}` +.. raw:: latex + + \begin{equation} + [x, y, k(x, y)], \text{ with } k(x, y)=\sin{(\pi x)}\sin{(\pi y)}, + \end{equation} where :math:`x` and :math:`y` are the spatial coordinates and :math:`k(x, y)` is the added feature. @@ -210,10 +223,11 @@ new extra feature. .. parsed-literal:: - GPU available: False, used: False + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -226,20 +240,17 @@ new extra feature. 0.001 Total estimated model params size (MB) + .. parsed-literal:: - Epoch 999: : 1it [00:00, 112.55it/s, v_num=46, mean_loss=2.73e-7, gamma1_loss=1.13e-6, gamma2_loss=7.1e-8, gamma3_loss=4.69e-8, gamma4_loss=6.81e-8, D_loss=4.65e-8] + Training: 0it [00:00, ?it/s] + .. parsed-literal:: `Trainer.fit` stopped: `max_epochs=1000` reached. -.. parsed-literal:: - - Epoch 999: : 1it [00:00, 92.69it/s, v_num=46, mean_loss=2.73e-7, gamma1_loss=1.13e-6, gamma2_loss=7.1e-8, gamma3_loss=4.69e-8, gamma4_loss=6.81e-8, D_loss=4.65e-8] - - The predicted and exact solutions and the error between them are represented below. We can easily note that now our network, having almost the same condition as before, is able to reach additional order @@ -251,7 +262,7 @@ of magnitudes in accuracy. -.. image:: tutorial_files/tutorial_16_0.png +.. image:: output_16_0.png The problem solution with learnable extra-features @@ -263,9 +274,11 @@ Another way to exploit the extra features is the addition of learnable parameter inside them. In this way, the added parameters are learned during the training phase of the neural network. In this case, we use: -:raw-latex:`\begin{equation} -k(x, \mathbf{y}) = \beta \sin{(\alpha x)} \sin{(\alpha y)}, -\end{equation}` +.. raw:: latex + + \begin{equation} + k(x, \mathbf{y}) = \beta \sin{(\alpha x)} \sin{(\alpha y)}, + \end{equation} where :math:`\alpha` and :math:`\beta` are the abovementioned parameters. Their implementation is quite trivial: by using the class @@ -306,10 +319,11 @@ need, and they are managed by ``autograd`` module! .. parsed-literal:: - GPU available: False, used: False + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -322,20 +336,17 @@ need, and they are managed by ``autograd`` module! 0.001 Total estimated model params size (MB) + .. parsed-literal:: - Epoch 999: : 1it [00:00, 91.07it/s, v_num=47, mean_loss=2.11e-6, gamma1_loss=1.03e-5, gamma2_loss=4.17e-8, gamma3_loss=4.28e-8, gamma4_loss=5.65e-8, D_loss=6.21e-8] + Training: 0it [00:00, ?it/s] + .. parsed-literal:: `Trainer.fit` stopped: `max_epochs=1000` reached. -.. parsed-literal:: - - Epoch 999: : 1it [00:00, 76.19it/s, v_num=47, mean_loss=2.11e-6, gamma1_loss=1.03e-5, gamma2_loss=4.17e-8, gamma3_loss=4.28e-8, gamma4_loss=5.65e-8, D_loss=6.21e-8] - - Umh, the final loss is not appreciabily better than previous model (with static extra features), despite the usage of learnable parameters. This is mainly due to the over-parametrization of the network: there are many @@ -365,10 +376,11 @@ removing all the hidden layers in the ``FeedForward``, keeping only the .. parsed-literal:: - GPU available: False, used: False + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -381,20 +393,17 @@ removing all the hidden layers in the ``FeedForward``, keeping only the 0.000 Total estimated model params size (MB) + .. parsed-literal:: - Epoch 999: : 1it [00:00, 149.45it/s, v_num=48, mean_loss=1.34e-16, gamma1_loss=6.66e-16, gamma2_loss=2.6e-18, gamma3_loss=4.84e-19, gamma4_loss=2.59e-18, D_loss=4.84e-19] + Training: 0it [00:00, ?it/s] + .. parsed-literal:: `Trainer.fit` stopped: `max_epochs=1000` reached. -.. parsed-literal:: - - Epoch 999: : 1it [00:00, 117.81it/s, v_num=48, mean_loss=1.34e-16, gamma1_loss=6.66e-16, gamma2_loss=2.6e-18, gamma3_loss=4.84e-19, gamma4_loss=2.59e-18, D_loss=4.84e-19] - - In such a way, the model is able to reach a very high accuracy! Of course, this is a toy problem for understanding the usage of extra features: similar precision could be obtained if the extra features are @@ -413,23 +422,5 @@ features. -.. image:: tutorial_files/tutorial_23_0.png - - -.. code:: ipython3 - - import matplotlib.pyplot as plt - - plt.figure(figsize=(16, 6)) - plotter.plot_loss(trainer, label='Standard') - plotter.plot_loss(trainer_feat, label='Static Features') - plotter.plot_loss(trainer_learn, label='Learnable Features') - - plt.grid() - plt.legend() - plt.show() - - - -.. image:: tutorial_files/tutorial_24_0.png +.. image:: output_23_0.png diff --git a/docs/source/_rst/tutorial2/tutorial_files/output_11_0.png b/docs/source/_rst/tutorial2/tutorial_files/output_11_0.png new file mode 100644 index 0000000..6e39b2f Binary files /dev/null and b/docs/source/_rst/tutorial2/tutorial_files/output_11_0.png differ diff --git a/docs/source/_rst/tutorial2/tutorial_files/output_16_0.png b/docs/source/_rst/tutorial2/tutorial_files/output_16_0.png new file mode 100644 index 0000000..bf73720 Binary files /dev/null and b/docs/source/_rst/tutorial2/tutorial_files/output_16_0.png differ diff --git a/docs/source/_rst/tutorial2/tutorial_files/output_23_0.png b/docs/source/_rst/tutorial2/tutorial_files/output_23_0.png new file mode 100644 index 0000000..ebe462d Binary files /dev/null and b/docs/source/_rst/tutorial2/tutorial_files/output_23_0.png differ diff --git a/docs/source/_rst/tutorial2/tutorial_files/tutorial_11_0.png b/docs/source/_rst/tutorial2/tutorial_files/tutorial_11_0.png deleted file mode 100644 index 9f62184..0000000 Binary files a/docs/source/_rst/tutorial2/tutorial_files/tutorial_11_0.png and /dev/null differ diff --git a/docs/source/_rst/tutorial2/tutorial_files/tutorial_16_0.png b/docs/source/_rst/tutorial2/tutorial_files/tutorial_16_0.png deleted file mode 100644 index 6be09ef..0000000 Binary files a/docs/source/_rst/tutorial2/tutorial_files/tutorial_16_0.png and /dev/null differ diff --git a/docs/source/_rst/tutorial2/tutorial_files/tutorial_23_0.png b/docs/source/_rst/tutorial2/tutorial_files/tutorial_23_0.png deleted file mode 100644 index 4c04f2e..0000000 Binary files a/docs/source/_rst/tutorial2/tutorial_files/tutorial_23_0.png and /dev/null differ diff --git a/docs/source/_rst/tutorial2/tutorial_files/tutorial_24_0.png b/docs/source/_rst/tutorial2/tutorial_files/tutorial_24_0.png deleted file mode 100644 index 86da991..0000000 Binary files a/docs/source/_rst/tutorial2/tutorial_files/tutorial_24_0.png and /dev/null differ diff --git a/docs/source/_rst/tutorial3/tutorial.rst b/docs/source/_rst/tutorial3/tutorial.rst index c86ec1e..1053352 100644 --- a/docs/source/_rst/tutorial3/tutorial.rst +++ b/docs/source/_rst/tutorial3/tutorial.rst @@ -1,8 +1,8 @@ Tutorial 3: resolution of wave equation with hard constraint PINNs. =================================================================== -The problem solution -~~~~~~~~~~~~~~~~~~~~ +The problem definition +---------------------- In this tutorial we present how to solve the wave equation using hard constraint PINNs. For doing so we will build a costum torch model and @@ -10,13 +10,15 @@ pass it to the ``PINN`` solver. The problem is written in the following form: -:raw-latex:`\begin{equation} -\begin{cases} -\Delta u(x,y,t) = \frac{\partial^2}{\partial t^2} u(x,y,t) \quad \text{in } D, \\\\ -u(x, y, t=0) = \sin(\pi x)\sin(\pi y), \\\\ -u(x, y, t) = 0 \quad \text{on } \Gamma_1 \cup \Gamma_2 \cup \Gamma_3 \cup \Gamma_4, -\end{cases} -\end{equation}` +.. raw:: latex + + \begin{equation} + \begin{cases} + \Delta u(x,y,t) = \frac{\partial^2}{\partial t^2} u(x,y,t) \quad \text{in } D, \\\\ + u(x, y, t=0) = \sin(\pi x)\sin(\pi y), \\\\ + u(x, y, t) = 0 \quad \text{on } \Gamma_1 \cup \Gamma_2 \cup \Gamma_3 \cup \Gamma_4, + \end{cases} + \end{equation} where :math:`D` is a square domain :math:`[0,1]^2`, and :math:`\Gamma_i`, with :math:`i=1,...,4`, are the boundaries of the @@ -80,21 +82,24 @@ predicted one. problem = Wave() +Hard Constraint Model +--------------------- + After the problem, a **torch** model is needed to solve the PINN. -Usually many models are already implemented in ``PINA``, but the user -has the possibility to build his/her own model in ``pyTorch``. The hard -constraint we impose are on the boundary of the spatial domain. -Specificly our solution is written as: +Usually, many models are already implemented in ``PINA``, but the user +has the possibility to build his/her own model in ``PyTorch``. The hard +constraint we impose is on the boundary of the spatial domain. +Specifically, our solution is written as: .. math:: u_{\rm{pinn}} = xy(1-x)(1-y)\cdot NN(x, y, t), where :math:`NN` is the neural net output. This neural network takes as input the coordinates (in this case :math:`x`, :math:`y` and :math:`t`) -and provides the unkwown field of the Wave problem. By construction it -is zero on the boundaries. The residual of the equations are evaluated -at several sampling points (which the user can manipulate using the -method ``discretise_domain``) and the loss minimized by the neural -network is the sum of the residuals. +and provides the unknown field :math:`u`. By construction, it is zero on +the boundaries. The residuals of the equations are evaluated at several +sampling points (which the user can manipulate using the method +``discretise_domain``) and the loss minimized by the neural network is +the sum of the residuals. .. code:: ipython3 @@ -114,6 +119,9 @@ network is the sum of the residuals. hard = x.extract(['x'])*(1-x.extract(['x']))*x.extract(['y'])*(1-x.extract(['y'])) return hard*self.layers(x) +Train and Inference +------------------- + In this tutorial, the neural network is trained for 3000 epochs with a learning rate of 0.001 (default in ``PINN``). Training takes approximately 1 minute. @@ -128,10 +136,20 @@ approximately 1 minute. .. parsed-literal:: - GPU available: False, used: False + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs + Missing logger folder: /u/n/ndemo/PINA/tutorials/tutorial3/lightning_logs + 2023-10-17 10:24:02.163746: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. + 2023-10-17 10:24:02.218849: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. + To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. + 2023-10-17 10:24:07.063047: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT + /opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0) + warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of " + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -144,20 +162,17 @@ approximately 1 minute. 0.002 Total estimated model params size (MB) + .. parsed-literal:: - Epoch 2999: : 1it [00:00, 79.33it/s, v_num=5, mean_loss=0.00119, D_loss=0.00542, t0_loss=0.0017, gamma1_loss=0.000, gamma2_loss=0.000, gamma3_loss=0.000, gamma4_loss=0.000] + Training: 0it [00:00, ?it/s] + .. parsed-literal:: `Trainer.fit` stopped: `max_epochs=3000` reached. -.. parsed-literal:: - - Epoch 2999: : 1it [00:00, 68.62it/s, v_num=5, mean_loss=0.00119, D_loss=0.00542, t0_loss=0.0017, gamma1_loss=0.000, gamma2_loss=0.000, gamma3_loss=0.000, gamma4_loss=0.000] - - Notice that the loss on the boundaries of the spatial domain is exactly zero, as expected! After the training is completed one can now plot some results using the ``Plotter`` class of **PINA**. @@ -177,14 +192,13 @@ results using the ``Plotter`` class of **PINA**. - -.. image:: tutorial_files/tutorial_12_0.png +.. image:: output_14_0.png -.. image:: tutorial_files/tutorial_12_1.png +.. image:: output_14_1.png -.. image:: tutorial_files/tutorial_12_2.png +.. image:: output_14_2.png diff --git a/docs/source/_rst/tutorial3/tutorial_files/output_14_0.png b/docs/source/_rst/tutorial3/tutorial_files/output_14_0.png new file mode 100644 index 0000000..17adafc Binary files /dev/null and b/docs/source/_rst/tutorial3/tutorial_files/output_14_0.png differ diff --git a/docs/source/_rst/tutorial3/tutorial_files/output_14_1.png b/docs/source/_rst/tutorial3/tutorial_files/output_14_1.png new file mode 100644 index 0000000..45beb6c Binary files /dev/null and b/docs/source/_rst/tutorial3/tutorial_files/output_14_1.png differ diff --git a/docs/source/_rst/tutorial3/tutorial_files/output_14_2.png b/docs/source/_rst/tutorial3/tutorial_files/output_14_2.png new file mode 100644 index 0000000..8eebb42 Binary files /dev/null and b/docs/source/_rst/tutorial3/tutorial_files/output_14_2.png differ diff --git a/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_0.png b/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_0.png deleted file mode 100644 index 2682aa4..0000000 Binary files a/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_0.png and /dev/null differ diff --git a/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_1.png b/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_1.png deleted file mode 100644 index 7f9a1ff..0000000 Binary files a/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_1.png and /dev/null differ diff --git a/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_2.png b/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_2.png deleted file mode 100644 index 1c53e12..0000000 Binary files a/docs/source/_rst/tutorial3/tutorial_files/tutorial_12_2.png and /dev/null differ diff --git a/docs/source/_rst/tutorial4/tutorial.rst b/docs/source/_rst/tutorial4/tutorial.rst index bc9beeb..1612607 100644 --- a/docs/source/_rst/tutorial4/tutorial.rst +++ b/docs/source/_rst/tutorial4/tutorial.rst @@ -1,12 +1,11 @@ Tutorial 4: continuous convolutional filter =========================================== -In this tutorial we will show how to use the Continouous Convolutional +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 +implementation of the filter follows the original work `**A Continuous Convolutional Trainable Filter for Modelling Unstructured -Data `__ of Coscia Dario, Laura -Meneghetti, Nicola Demo, Giovanni Stabile, and Gianluigi Rozza. +Data** `__. First of all we import the modules needed for the tutorial, which include: @@ -20,17 +19,20 @@ include: import torch import matplotlib.pyplot as plt - from pina.model.layers import ContinuousConv + from pina.model.layers import ContinuousConvBlock import torchvision # for MNIST dataset from pina.model import FeedForward # for building AE and MNIST classification -The tutorial is structured as follow: - -* `Continuous filter background <#continuous-filter-background>`__: understand how the convolutional filter works and how to use it. - -* `Building a MNIST Classifier <#building-a-mnist-classifier>`__: show how to build a simple classifier using the MNIST dataset and how to combine a continuous convolutional layer with a feedforward neural network. - -* `Building a Continuous Convolutional Autoencoder <#building-a-continuous-convolutional-autoencoder>`__: show how to use the continuous filter to work with unstructured data for autoencoding and up-sampling. +The tutorial is structured as follow: \* `Continuous filter +background <#continuous-filter-background>`__: understand how the +convolutional filter works and how to use it. \* `Building a MNIST +Classifier <#building-a-mnist-classifier>`__: show how to build a simple +classifier using the MNIST dataset and how to combine a continuous +convolutional layer with a feedforward neural network. \* `Building a +Continuous Convolutional +Autoencoder <#building-a-continuous-convolutional-autoencoder>`__: show +how to use the continuous filter to work with unstructured data for +autoencoding and up-sampling. Continuous filter background ---------------------------- @@ -44,7 +46,7 @@ as: \mathcal{I}_{\rm{out}}(\mathbf{x}) = \int_{\mathcal{X}} \mathcal{I}(\mathbf{x} + \mathbf{\tau}) \cdot \mathcal{K}(\mathbf{\tau}) d\mathbf{\tau}, -where :math:`\mathcal{K} : \mathcal{X} \rightarrow \mathbb{R}` is the + where :math:`\mathcal{K} : \mathcal{X} \rightarrow \mathbb{R}` is the *continuous filter* function, and :math:`\mathcal{I} : \Omega \subset \mathbb{R}^N \rightarrow \mathbb{R}` is the input function. The continuous filter function is approximated @@ -60,7 +62,7 @@ by the authors. Thus, given :math:`\{\mathbf{x}_i\}_{i=1}^{n}` points in \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), -where :math:`\mathbf{\tau} \in \mathcal{S}`, with :math:`\mathcal{S}` + where :math:`\mathbf{\tau} \in \mathcal{S}`, with :math:`\mathcal{S}` the set of available strides, corresponds to the current stride position of the filter, and :math:`\mathbf{\tilde{x}}_i` points are obtained by taking the centroid of the filter position mapped on the :math:`\Omega` @@ -81,15 +83,17 @@ shape: .. math:: [B \times N_{in} \times N \times D] -\ where :math:`B` is the batch_size, :math:`N_{in}` is the number of +where :math:`B` is the batch\_size, :math:`N_{in}` is the number of input fields, :math:`N` the number of points in the mesh, :math:`D` the -dimension of the problem. In particular: +dimension of the problem. In particular: \* :math:`D` is the number of +spatial variables + 1. The last column must contain the field value. For +example for 2D problems :math:`D=3` and the tensor will be something +like ``[first coordinate, second coordinate, field value]`` \* +:math:`N_{in}` represents the number of vectorial function presented. +For example a vectorial function :math:`f = [f_1, f_2]` will have +:math:`N_{in}=2` -* :math:`D` is the number of spatial variables + 1. The last column must contain the field value. For example for 2D problems :math:`D=3` and the tensor will be something like ``[first coordinate, second coordinate, field value]`` - -* :math:`N_{in}` represents the number of vectorial function presented. For example a vectorial function :math:`f = [f_1, f_2]` will have math:`N_{in}=2` - -Let’s see an example to clear the ideas. We will be verbose to explain +Let's see an example to clear the ideas. We will be verbose to explain in details the input form. We wish to create the function: .. math:: @@ -144,22 +148,20 @@ where to go. Here is an example for the :math:`[0,1]\times[0,5]` domain: .. code:: python - # stride definition - stride = {"domain": [1, 5], - "start": [0, 0], - "jump": [0.1, 0.3], - "direction": [1, 1], - } + # stride definition + stride = {"domain": [1, 5], + "start": [0, 0], + "jump": [0.1, 0.3], + "direction": [1, 1], + } -This tells the filter: - -1. ``domain``: square domain (the only implemented) :math:`[0,1]\times[0,5]`. The minimum value is always zero, while the maximum is specified by the user - -2. ``start``: start position of the filter, coordinate :math:`(0, 0)` - -3. ``jump``: the jumps of the centroid of the filter to the next position :math:`(0.1, 0.3)` - -4. ``direction``: the directions of the jump, with ``1 = right``, ``0 = no jump``,\ ``-1 = left`` with respect to the current position +This tells the filter: 1. ``domain``: square domain (the only +implemented) :math:`[0,1]\times[0,5]`. The minimum value is always zero, +while the maximum is specified by the user 2. ``start``: start position +of the filter, coordinate :math:`(0, 0)` 3. ``jump``: the jumps of the +centroid of the filter to the next position :math:`(0.1, 0.3)` 4. +``direction``: the directions of the jump, with ``1 = right``, +``0 = no jump``,\ ``-1 = left`` with respect to the current position **Note** @@ -188,30 +190,37 @@ fix the filter dimension to be :math:`[0.1, 0.1]`. } # creating the filter - cConv = ContinuousConv(input_numb_field=number_input_fileds, + cConv = ContinuousConvBlock(input_numb_field=number_input_fileds, output_numb_field=1, filter_dim=filter_dim, stride=stride) -That’s it! In just one line of code we have created the continuous + +.. parsed-literal:: + + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.) + return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] + + +That's it! In just one line of code we have created the continuous convolutional filter. By default the ``pina.model.FeedForward`` neural network is intitialised, more on the `documentation `__. In -case the mesh doesn’t change during training we can set the ``optimize`` +case the mesh doesn't change during training we can set the ``optimize`` flag equals to ``True``, to exploit optimizations for finding the points to convolve. .. code:: ipython3 # creating the filter + optimization - cConv = ContinuousConv(input_numb_field=number_input_fileds, + cConv = ContinuousConvBlock(input_numb_field=number_input_fileds, output_numb_field=1, filter_dim=filter_dim, stride=stride, optimize=True) -Let’s try to do a forward pass +Let's try to do a forward pass .. code:: ipython3 @@ -229,7 +238,7 @@ Let’s try to do a forward pass Filter output data has shape: torch.Size([1, 1, 169, 3]) -If we don’t want to use the default ``FeedForward`` neural network, we +If we don't want to use the default ``FeedForward`` neural network, we can pass a specified torch model in the ``model`` keyword as follow: .. code:: ipython3 @@ -248,7 +257,7 @@ can pass a specified torch model in the ``model`` keyword as follow: return self.model(x) - cConv = ContinuousConv(input_numb_field=number_input_fileds, + cConv = ContinuousConvBlock(input_numb_field=number_input_fileds, output_numb_field=1, filter_dim=filter_dim, stride=stride, @@ -261,7 +270,7 @@ Notice that we pass the class and not an already built object! Building a MNIST Classifier --------------------------- -Let’s see how we can build a MNIST classifier using a continuous +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. @@ -299,7 +308,68 @@ and 1000 samples for testing. test_loader = DataLoader(train_data, batch_size=batch_size, sampler=SubsetRandomSampler(subsample_train_indices)) -Let’s now build a simple classifier. The MNIST dataset is composed by + +.. parsed-literal:: + + Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz + Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./data/MNIST/raw/train-images-idx3-ubyte.gz + + +.. parsed-literal:: + + 100%|█████████████████████████████████| 9912422/9912422 [00:00<00:00, 59926793.62it/s] + + +.. parsed-literal:: + + Extracting ./data/MNIST/raw/train-images-idx3-ubyte.gz to ./data/MNIST/raw + + Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz + Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./data/MNIST/raw/train-labels-idx1-ubyte.gz + + +.. parsed-literal:: + + 100%|██████████████████████████████████████| 28881/28881 [00:00<00:00, 2463209.03it/s] + + +.. parsed-literal:: + + Extracting ./data/MNIST/raw/train-labels-idx1-ubyte.gz to ./data/MNIST/raw + + Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz + Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./data/MNIST/raw/t10k-images-idx3-ubyte.gz + + +.. parsed-literal:: + + 100%|█████████████████████████████████| 1648877/1648877 [00:00<00:00, 46499639.59it/s] + + +.. parsed-literal:: + + Extracting ./data/MNIST/raw/t10k-images-idx3-ubyte.gz to ./data/MNIST/raw + + Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz + Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./data/MNIST/raw/t10k-labels-idx1-ubyte.gz + + +.. parsed-literal:: + + 100%|███████████████████████████████████████| 4542/4542 [00:00<00:00, 19761959.30it/s] + +.. parsed-literal:: + + Extracting ./data/MNIST/raw/t10k-labels-idx1-ubyte.gz to ./data/MNIST/raw + + + +.. parsed-literal:: + + + + +Let's now build a simple classifier. The MNIST dataset is composed by vectors of shape ``[batch, 1, 28, 28]``, but we can image them as one field functions where the pixels :math:`ij` are the coordinate :math:`x=i, y=j` in a :math:`[0, 27]\times[0,27]` domain, and the pixels @@ -353,7 +423,7 @@ filter followed by a feedforward neural network numb_class = 10 # convolutional block - self.convolution = ContinuousConv(input_numb_field=1, + self.convolution = ContinuousConvBlock(input_numb_field=1, output_numb_field=4, stride={"domain": [27, 27], "start": [0, 0], @@ -363,8 +433,8 @@ filter followed by a feedforward neural network filter_dim=[4, 4], optimize=True) # feedforward net - self.nn = FeedForward(input_variables=196, - output_variables=numb_class, + self.nn = FeedForward(input_dimensions=196, + output_dimensions=numb_class, layers=[120, 64], func=torch.nn.ReLU) @@ -378,7 +448,7 @@ filter followed by a feedforward neural network net = ContinuousClassifier() -Let’s try to train it using a simple pytorch training loop. We train for +Let's try to train it using a simple pytorch training loop. We train for juts 1 epoch using Adam optimizer with a :math:`0.001` learning rate. .. code:: ipython3 @@ -410,31 +480,37 @@ juts 1 epoch using Adam optimizer with a :math:`0.001` learning rate. running_loss += loss.item() if i % 50 == 49: print( - f'epoch [{i + 1}/{numb_training//batch_size}] loss[{running_loss / 500:.3f}]') + f'batch [{i + 1}/{numb_training//batch_size}] loss[{running_loss / 500:.3f}]') running_loss = 0.0 .. parsed-literal:: - epoch [50/750] loss[0.148] - epoch [100/750] loss[0.072] - epoch [150/750] loss[0.063] - epoch [200/750] loss[0.053] - epoch [250/750] loss[0.041] - epoch [300/750] loss[0.048] - epoch [350/750] loss[0.054] - epoch [400/750] loss[0.048] - epoch [450/750] loss[0.047] - epoch [500/750] loss[0.035] - epoch [550/750] loss[0.036] - epoch [600/750] loss[0.041] - epoch [650/750] loss[0.030] - epoch [700/750] loss[0.040] - epoch [750/750] loss[0.040] + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:611: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") -Let’s see the performance on the train set! +.. parsed-literal:: + + batch [50/750] loss[0.161] + batch [100/750] loss[0.073] + batch [150/750] loss[0.063] + batch [200/750] loss[0.051] + batch [250/750] loss[0.044] + batch [300/750] loss[0.050] + batch [350/750] loss[0.053] + batch [400/750] loss[0.049] + batch [450/750] loss[0.046] + batch [500/750] loss[0.034] + batch [550/750] loss[0.036] + batch [600/750] loss[0.040] + batch [650/750] loss[0.028] + batch [700/750] loss[0.040] + batch [750/750] loss[0.040] + + +Let's see the performance on the train set! .. code:: ipython3 @@ -457,11 +533,11 @@ Let’s see the performance on the train set! .. parsed-literal:: - Accuracy of the network on the 1000 test images: 93.017% + Accuracy of the network on the 1000 test images: 92.733% As we can see we have very good performance for having traing only for 1 -epoch! Nevertheless, we are still using structured data… Let’s see how +epoch! Nevertheless, we are still using structured data... Let's see how we can build an autoencoder for unstructured data now. Building a Continuous Convolutional Autoencoder @@ -470,7 +546,7 @@ Building a Continuous Convolutional Autoencoder Just as toy problem, we will now build an autoencoder for the following function :math:`f(x,y)=\sin(\pi x)\sin(\pi y)` on the unit circle domain centered in :math:`(0.5, 0.5)`. We will also see the ability to -up-sample (once trained) the results without retraining. Let’s first +up-sample (once trained) the results without retraining. Let's first create the input and visualize it, we will use firstly a mesh of :math:`100` points. @@ -516,12 +592,12 @@ create the input and visualize it, we will use firstly a mesh of -.. image:: tutorial_files/tutorial_32_0.png +.. image:: output_32_0.png -Let’s now build a simple autoencoder using the continuous convolutional +Let's now build a simple autoencoder using the continuous convolutional filter. The data is clearly unstructured and a simple convolutional -filter might not work without projecting or interpolating first. Let’s +filter might not work without projecting or interpolating first. Let's first build and ``Encoder`` and ``Decoder`` class, and then a ``Autoencoder`` class that contains both. @@ -532,7 +608,7 @@ first build and ``Encoder`` and ``Decoder`` class, and then a super().__init__() # convolutional block - self.convolution = ContinuousConv(input_numb_field=1, + self.convolution = ContinuousConvBlock(input_numb_field=1, output_numb_field=2, stride={"domain": [1, 1], "start": [0, 0], @@ -542,8 +618,8 @@ first build and ``Encoder`` and ``Decoder`` class, and then a filter_dim=[0.15, 0.15], optimize=True) # feedforward net - self.nn = FeedForward(input_variables=400, - output_variables=hidden_dimension, + self.nn = FeedForward(input_dimensions=400, + output_dimensions=hidden_dimension, layers=[240, 120]) def forward(self, x): @@ -558,7 +634,7 @@ first build and ``Encoder`` and ``Decoder`` class, and then a super().__init__() # convolutional block - self.convolution = ContinuousConv(input_numb_field=2, + self.convolution = ContinuousConvBlock(input_numb_field=2, output_numb_field=1, stride={"domain": [1, 1], "start": [0, 0], @@ -568,8 +644,8 @@ first build and ``Encoder`` and ``Decoder`` class, and then a filter_dim=[0.15, 0.15], optimize=True) # feedforward net - self.nn = FeedForward(input_variables=hidden_dimension, - output_variables=400, + self.nn = FeedForward(input_dimensions=hidden_dimension, + output_dimensions=400, layers=[120, 240]) def forward(self, weights, grid): @@ -582,7 +658,7 @@ first build and ``Encoder`` and ``Decoder`` class, and then a Very good! Notice that in the ``Decoder`` class in the ``forward`` pass we have used the ``.transpose()`` method of the ``ContinuousConvolution`` class. This method accepts the ``weights`` for -upsampling and the ``grid`` on where to upsample. Let’s now build the +upsampling and the ``grid`` on where to upsample. Let's now build the autoencoder! We set the hidden dimension in the ``hidden_dimension`` variable. We apply the sigmoid on the output since the field value is between :math:`[0, 1]`. @@ -608,7 +684,7 @@ between :math:`[0, 1]`. net = Autoencoder() -Let’s now train the autoencoder, minimizing the mean square error loss +Let's now train the autoencoder, minimizing the mean square error loss and optimizing using Adam. .. code:: ipython3 @@ -640,24 +716,24 @@ and optimizing using Adam. .. parsed-literal:: - epoch [10/150] loss [0.013] - epoch [20/150] loss [0.0029] - epoch [30/150] loss [0.0019] + epoch [10/150] loss [0.012] + epoch [20/150] loss [0.0036] + epoch [30/150] loss [0.0018] epoch [40/150] loss [0.0014] - epoch [50/150] loss [0.0011] - epoch [60/150] loss [0.00094] - epoch [70/150] loss [0.00082] - epoch [80/150] loss [0.00074] - epoch [90/150] loss [0.00068] - epoch [100/150] loss [0.00064] - epoch [110/150] loss [0.00061] - epoch [120/150] loss [0.00058] - epoch [130/150] loss [0.00057] - epoch [140/150] loss [0.00056] - epoch [150/150] loss [0.00054] + epoch [50/150] loss [0.0012] + epoch [60/150] loss [0.001] + epoch [70/150] loss [0.0009] + epoch [80/150] loss [0.00082] + epoch [90/150] loss [0.00075] + epoch [100/150] loss [0.0007] + epoch [110/150] loss [0.00066] + epoch [120/150] loss [0.00063] + epoch [130/150] loss [0.00061] + epoch [140/150] loss [0.00059] + epoch [150/150] loss [0.00058] -Let’s visualize the two solutions side by side! +Let's visualize the two solutions side by side! .. code:: ipython3 @@ -681,7 +757,7 @@ Let’s visualize the two solutions side by side! -.. image:: tutorial_files/tutorial_40_0.png +.. image:: output_40_0.png As we can see the two are really similar! We can compute the :math:`l_2` @@ -698,19 +774,19 @@ error quite easily as well: .. parsed-literal:: - l2 error: 4.10% + l2 error: 4.22% More or less :math:`4\%` in :math:`l_2` error, which is really low considering the fact that we use just **one** convolutional layer and a -simple feedforward to decrease the dimension. Let’s see now some +simple feedforward to decrease the dimension. Let's see now some peculiarity of the filter. Filter for upsampling ~~~~~~~~~~~~~~~~~~~~~ Suppose we have already the hidden dimension and we want to upsample on -a differen grid with more points. Let’s see how to do it: +a differen grid with more points. Let's see how to do it: .. code:: ipython3 @@ -744,11 +820,11 @@ a differen grid with more points. Let’s see how to do it: -.. image:: tutorial_files/tutorial_45_0.png +.. image:: output_45_0.png As we can see we have a very good approximation of the original -function, even thought some noise is present. Let’s calculate the error +function, even thought some noise is present. Let's calculate the error now: .. code:: ipython3 @@ -758,7 +834,7 @@ now: .. parsed-literal:: - l2 error: 8.44% + l2 error: 8.37% Autoencoding at different resolution @@ -768,7 +844,7 @@ In the previous example we already had the hidden dimension (of original input) and we used it to upsample. Sometimes however we have a more fine mesh solution and we simply want to encode it. This can be done without retraining! This procedure can be useful in case we have many points in -the mesh and just a smaller part of them are needed for training. Let’s +the mesh and just a smaller part of them are needed for training. Let's see the results of this: .. code:: ipython3 @@ -807,15 +883,15 @@ see the results of this: -.. image:: tutorial_files/tutorial_49_0.png +.. image:: output_49_0.png .. parsed-literal:: - l2 error: 8.45% + l2 error: 8.50% -What’s next? +What's next? ------------ We have shown the basic usage of a convolutional filter. 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Importing from pina.problem import AbstractProblem import matplotlib.pyplot as plt + +.. parsed-literal:: + + /opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0) + warnings.warn(f"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of " + + Data Generation --------------- @@ -52,7 +59,7 @@ taken from the authors original reference. x = torch.tensor(data['x'], dtype=torch.float)[0] y = torch.tensor(data['y'], dtype=torch.float)[0] -Let’s visualize some data +Let's visualize some data .. code:: ipython3 @@ -66,7 +73,7 @@ Let’s visualize some data -.. image:: tutorial_files/tutorial_6_0.png +.. image:: output_6_0.png We now create the neural operator class. It is a very simple class, @@ -107,10 +114,19 @@ training using supervised learning. .. parsed-literal:: - GPU available: False, used: False + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:611: UserWarning: Can't initialize NVML + warnings.warn("Can't initialize NVML") + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs + Missing logger folder: /u/n/ndemo/PINA/tutorials/tutorial5/lightning_logs + 2023-10-17 10:41:03.316644: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. + 2023-10-17 10:41:03.333768: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used. + 2023-10-17 10:41:03.383188: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. + To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. + 2023-10-17 10:41:07.712785: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -123,21 +139,20 @@ training using supervised learning. 0.002 Total estimated model params size (MB) -.. parsed-literal:: - - Epoch 99: : 1it [00:00, 15.95it/s, v_num=85, mean_loss=0.105] .. parsed-literal:: + Training: 0it [00:00, ?it/s] + + +.. parsed-literal:: + + /u/n/ndemo/.local/lib/python3.9/site-packages/torch/_tensor.py:1386: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3614.) + ret = func(*args, **kwargs) `Trainer.fit` stopped: `max_epochs=100` reached. -.. parsed-literal:: - - Epoch 99: : 1it [00:00, 15.53it/s, v_num=85, mean_loss=0.105] - - -The final loss is pretty high… We can calculate the error by importing +The final loss is pretty high... We can calculate the error by importing ``LpLoss``. .. code:: ipython3 @@ -157,8 +172,8 @@ The final loss is pretty high… We can calculate the error by importing .. parsed-literal:: - Final error training 56.06% - Final error testing 55.95% + Final error training 56.86% + Final error testing 56.82% Solving the problem with a Fuorier Neural Operator (FNO) @@ -191,10 +206,11 @@ operator this approach is better suited, as we shall see. .. parsed-literal:: - GPU available: False, used: False + GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores IPU available: False, using: 0 IPUs HPU available: False, using: 0 HPUs + LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0] | Name | Type | Params ---------------------------------------- @@ -207,22 +223,19 @@ operator this approach is better suited, as we shall see. 2.364 Total estimated model params size (MB) + .. parsed-literal:: - Epoch 19: : 1it [00:02, 2.65s/it, v_num=84, mean_loss=0.0294] + Training: 0it [00:00, ?it/s] + .. parsed-literal:: `Trainer.fit` stopped: `max_epochs=20` reached. -.. parsed-literal:: - - Epoch 19: : 1it [00:02, 2.67s/it, v_num=84, mean_loss=0.0294] - - We can clearly see that with 1/3 of the total epochs the loss is lower. -Let’s see in testing.. Notice that the number of parameters is way +Let's see in testing.. Notice that the number of parameters is way higher than a ``FeedForward`` network. We suggest to use GPU or TPU for a speed up in training. @@ -237,13 +250,13 @@ a speed up in training. .. parsed-literal:: - Final error training 26.05% - Final error testing 25.58% + Final error training 26.19% + Final error testing 25.89% As we can see the loss is way lower! -What’s next? +What's next? ------------ We have made a very simple example on how to use the ``FNO`` for diff --git a/docs/source/_rst/tutorial5/tutorial_files/output_6_0.png b/docs/source/_rst/tutorial5/tutorial_files/output_6_0.png new file mode 100644 index 0000000..f62bd0d Binary files /dev/null and b/docs/source/_rst/tutorial5/tutorial_files/output_6_0.png differ diff --git a/docs/source/_rst/tutorial5/tutorial_files/tutorial_6_0.png b/docs/source/_rst/tutorial5/tutorial_files/tutorial_6_0.png deleted file mode 100644 index fec83e2..0000000 Binary files a/docs/source/_rst/tutorial5/tutorial_files/tutorial_6_0.png and /dev/null differ diff --git a/tutorials/tutorial1/tutorial.ipynb b/tutorials/tutorial1/tutorial.ipynb index 6d93efe..1dbe887 100644 --- a/tutorials/tutorial1/tutorial.ipynb +++ b/tutorials/tutorial1/tutorial.ipynb @@ -1,38 +1,54 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", + "id": "6f71ca5c", "metadata": {}, "source": [ "# Tutorial 1: Physics Informed Neural Networks on PINA" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "ef4949c9", "metadata": {}, "source": [ - "In this tutorial we will show the typical use case of PINA on a toy problem solved by Physics Informed Problems. Specifically, the tutorial aims to introduce the following topics:\n", + "In this tutorial, we will demonstrate a typical use case of PINA on a toy problem. Specifically, the tutorial aims to introduce the following topics:\n", "\n", "* Defining a PINA Problem,\n", - "* Build a `PINN` Solver,\n", + "* Building a `pinn` object,\n", + "* Sampling points in a domain\n", "\n", - "We will show in detailed each step, and at the end we will solve a very simple problem with PINA." + "These are the three main steps needed **before** training a Physics Informed Neural Network (PINN). We will show each step in detail, and at the end, we will solve the problem." ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "1bd1904d", "metadata": {}, "source": [ - "## Defining a Problem" + "## PINA Problem" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "cf9c96e3", "metadata": {}, "source": [ - "### Initialize the Problem class\n", - "The problem definition in the PINA framework is done by building a phython `class`, inherited from `AbsractProblem`. A problem is an object which explains what the solver is supposed to solve. For Physics Informed Neural Networks, a problem can be inherited from one or more problem (already implemented) classes (`SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`), depending on the nature of the problem treated. \n", - "Let's see an example to better understand:\n", + "### Initialize the `Problem` class" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "8a819659", + "metadata": {}, + "source": [ + "Problem definition in the PINA framework is done by building a python `class`, which inherits from one or more problem classes (`SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`) depending on the nature of the problem. Below is an example:\n", "#### Simple Ordinary Differential Equation\n", "Consider the following:\n", "\n", @@ -45,63 +61,87 @@ "\\end{equation}\n", "$$\n", "\n", - "with analytical solution $u(x) = e^x$. In this case we have that our ODE depends only on the spatial variable $x\\in(0,1)$ , this means that our problem class is going to be inherited from `SpatialProblem` class:\n", + "with the analytical solution $u(x) = e^x$. In this case, our ODE depends only on the spatial variable $x\\in(0,1)$ , meaning that our `Problem` class is going to be inherited from the `SpatialProblem` class:\n", "\n", "```python\n", "from pina.problem import SpatialProblem\n", - "from pina.geometry import CartesianDomain\n", + "from pina import CartesianProblem\n", "\n", "class SimpleODE(SpatialProblem):\n", " \n", " output_variables = ['u']\n", - " spatial_domain = CartesianDomain({'x': [0, 1]})\n", + " spatial_domain = CartesianProblem({'x': [0, 1]})\n", "\n", " # other stuff ...\n", "```\n", "\n", - "Notice that we define `output_variables` as a list of symbols, indicating the output variables of our equation (in this case only $u$). The `spatial_domain` variable indicates where the sample points are going to be sampled in the domain, in this case $x\\in(0,1)$\n", - "\n", - "What about if we also have a time depencency in the equation? Well in that case our `class` will inherit from both `SpatialProblem` and `TimeDependentProblem`:\n", - "```python\n", + "Notice that we define `output_variables` as a list of symbols, indicating the output variables of our equation (in this case only $u$). The `spatial_domain` variable indicates where the sample points are going to be sampled in the domain, in this case $x\\in[0,1]$." + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "4e0a22bc", + "metadata": {}, + "source": [ + "What about if our equation is also time dependent? In this case, our `class` will inherit from both `SpatialProblem` and `TimeDependentProblem`:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2373a925", + "metadata": {}, + "outputs": [], + "source": [ "from pina.problem import SpatialProblem, TimeDependentProblem\n", - "from pina.geometry import CartesianDomain\n", + "from pina import CartesianDomain\n", "\n", "class TimeSpaceODE(SpatialProblem, TimeDependentProblem):\n", " \n", " output_variables = ['u']\n", " spatial_domain = CartesianDomain({'x': [0, 1]})\n", - " temporal_domain = CartesianDomain({'x': [0, 1]})\n", + " temporal_domain = CartesianDomain({'t': [0, 1]})\n", "\n", - " # other stuff ...\n", - "```\n", - "where we have included the `temporal_domain` variable indicating the time domain where we want the solution.\n", - "\n", - "Summarizing, in PINA we can initialize a problem with a class which is inherited from three base classes: `SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`, depending on the type of problem we are considering. For reference:\n", - "* `SpatialProblem` $\\rightarrow$ spatial variable(s) presented in the differential equation\n", - "* `TimeDependentProblem` $\\rightarrow$ time variable(s) presented in the differential equation\n", - "* `ParametricProblem` $\\rightarrow$ parameter(s) presented in the differential equation\n" + " # other stuff ..." ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "ad8566b8", "metadata": {}, "source": [ - "### Write the problem class\n", + "where we have included the `temporal_domain` variable, indicating the time domain wanted for the solution.\n", "\n", - "Once the problem class is initialized we need to write the differential equation in PINA language. For doing this we need to load the pina operators found in `pina.operators` module. Let's again consider the Equation (1) and try to write the PINA model class:" + "In summary, using PINA, we can initialize a problem with a class which inherits from three base classes: `SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`, depending on the type of problem we are considering. For reference:\n", + "* `SpatialProblem` $\\rightarrow$ a differential equation with spatial variable(s)\n", + "* `TimeDependentProblem` $\\rightarrow$ a time-dependent differential equation\n", + "* `ParametricProblem` $\\rightarrow$ a parametrized differential equation" + ] + }, + { + "attachments": {}, + "cell_type": "markdown", + "id": "592a4c43", + "metadata": {}, + "source": [ + "### Write the `Problem` class\n", + "\n", + "Once the `Problem` class is initialized, we need to represent the differential equation in PINA. In order to do this, we need to load the PINA operators from `pina.operators` module. Again, we'll consider Equation (1) and represent it in PINA:" ] }, { "cell_type": "code", "execution_count": 2, + "id": "f2608e2e", "metadata": {}, "outputs": [], "source": [ "from pina.problem import SpatialProblem\n", "from pina.operators import grad\n", - "from pina.geometry import CartesianDomain\n", - "from pina.equation import Equation\n", - "from pina import Condition\n", + "from pina import Condition, CartesianDomain\n", + "from pina.equation.equation import Equation\n", "\n", "import torch\n", "\n", @@ -117,68 +157,78 @@ " # computing the derivative\n", " u_x = grad(output_, input_, components=['u'], d=['x'])\n", "\n", - " # extracting u input variable\n", + " # extracting the u input variable\n", " u = output_.extract(['u'])\n", "\n", - " # calculate residual and return it\n", + " # calculate the residual and return it\n", " return u_x - u\n", "\n", - " # defining initial condition\n", + " # defining the initial condition\n", " def initial_condition(input_, output_):\n", " \n", - " # setting initial value\n", + " # setting the initial value\n", " value = 1.0\n", "\n", - " # extracting u input variable\n", + " # extracting the u input variable\n", " u = output_.extract(['u'])\n", "\n", - " # calculate residual and return it\n", + " # calculate the residual and return it\n", " return u - value\n", "\n", - " # Conditions to hold\n", + " # conditions to hold\n", " conditions = {\n", " 'x0': Condition(location=CartesianDomain({'x': 0.}), equation=Equation(initial_condition)),\n", " 'D': Condition(location=CartesianDomain({'x': [0, 1]}), equation=Equation(ode_equation)),\n", " }\n", "\n", - " # defining true solution\n", + " # sampled points (see below)\n", + " input_pts = None\n", + "\n", + " # defining the true solution\n", " def truth_solution(self, pts):\n", - " return torch.exp(pts.extract(['x']))\n" + " return torch.exp(pts.extract(['x']))" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "7cf64d01", "metadata": {}, "source": [ - "After the defition of the Class we need to write different class methods, where each method is a function returning a residual. This functions are the ones minimized during the PINN optimization, for the different conditions. For example, in the domain $(0,1)$ the ODE equation (`ode_equation`) must be satisfied, so we write it by putting all the ODE equation on the right hand side, such that we return the zero residual. This is done for all the conditions (`ode_equation`, `initial_condition`). Notice that we do not pass directly a `python` function, but an `Equation` object, which is initialized with the `python` function. This is done so that all the computations, and internal checks are done inside PINA.\n", + "After we define the `Problem` class, we need to write different class methods, where each method is a function returning a residual. These functions are the ones minimized during PINN optimization, given the initial conditions. For example, in the domain $[0,1]$, the ODE equation (`ode_equation`) must be satisfied. We represent this by returning the difference between subtracting the variable `u` from its gradient (the residual), which we hope to minimize to 0. This is done for all conditions (`ode_equation`, `initial_condition`). \n", "\n", - "Once we have defined the function we need to tell the network where these methods have to be applied. For doing this we use the class `Condition`. In `Condition` we pass the location points and the function to be minimized on those points (other possibilities are allowed, see the documentation for reference).\n", + "Once we have defined the function, we need to tell the neural network where these methods are to be applied. To do so, we use the `Condition` class. In the `Condition` class, we pass the location points and the function we want minimized on those points (other possibilities are allowed, see the documentation for reference) as parameters.\n", "\n", - "Finally, it's possible to defing the `truth_solution` function, which can be useful if we want to plot the results and see a comparison of real vs expected solution. Notice that `truth_solution` function is a method of the `PINN` class, but it is not mandatory for the problem definition." + "Finally, it's possible to define a `truth_solution` function, which can be useful if we want to plot the results and see how the real solution compares to the expected (true) solution. Notice that the `truth_solution` function is a method of the `PINN` class, but is not mandatory for problem definition.\n" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "22e502dd", "metadata": {}, "source": [ - "## Build PINN object" + "## Build the `PINN` object" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "075f43f5", "metadata": {}, "source": [ - "In PINA we have already developed different solvers, one of them is `PINN`. The basics requirements for building a `PINN` model are a problem and a model. We have already covered the problem definition. For the model one can use the default models provided in PINA or use a custom model. We will not go into the details of model definition, Tutorial2 and Tutorial3 treat the topic in detail." + "The basic requirements for building a `PINN` model are a `Problem` and a model. We have just covered the `Problem` definition. For the model parameter, one can use either the default models provided in PINA or a custom model. We will not go into the details of model definition (see Tutorial2 and Tutorial3 for more details on model definition)." ] }, { "cell_type": "code", "execution_count": 3, + "id": "3bb4dc9b", "metadata": {}, "outputs": [], "source": [ "from pina.model import FeedForward\n", - "from pina.solvers import PINN\n", + "from pina import PINN\n", "\n", "# initialize the problem\n", "problem = SimpleODE()\n", @@ -191,95 +241,90 @@ " input_dimensions=len(problem.input_variables)\n", ")\n", "\n", - "# create the PINN object, see the PINN documentation for extra argument in the constructor\n", - "pinn = PINN(problem, model)\n" + "# create the PINN object\n", + "pinn = PINN(problem, model)" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "8d2cb313", "metadata": {}, "source": [ - "Creating the pinn object is fairly simple by using the `PINN` class, different optional inputs can be passed: optimizer, batch size, ... (see [documentation](https://mathlab.github.io/PINA/) for reference)." + "Creating the `PINN` object is fairly simple. Different optional parameters include: optimizer, batch size, ... (see [documentation](https://mathlab.github.io/PINA/) for reference)." ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "78b30f95", "metadata": {}, "source": [ - "## Sample points in the domain and create the Trainer" + "## Sample points in the domain " ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "53c783e8", "metadata": {}, "source": [ - "Once the `PINN` object is created, we need to generate the points for starting the optimization. For doing this we use the `.discretise_domain` method of the `AbstractProblem` class. Let's see some methods to sample in $(0,1 )$." + "Once the `PINN` object is created, we need to generate the points for starting the optimization. To do so, we use the `sample` method of the `CartesianDomain` class. Below are three examples of sampling methods on the $[0,1]$ domain:" ] }, { "cell_type": "code", "execution_count": 4, + "id": "09ce5c3a", "metadata": {}, "outputs": [], "source": [ - "# sampling 20 points in (0, 1) with discrite step\n", - "problem.discretise_domain(20, 'grid', locations=['D'])\n", + "# sampling 20 points in [0, 1] through discretization\n", + "pinn.problem.discretise_domain(n=20, mode='grid', variables=['x'])\n", "\n", - "# sampling 20 points in (0, 1) with latin hypercube\n", - "problem.discretise_domain(20, 'latin', locations=['D'])\n", + "# sampling 20 points in (0, 1) through latin hypercube samping\n", + "pinn.problem.discretise_domain(n=20, mode='latin', variables=['x'])\n", "\n", "# sampling 20 points in (0, 1) randomly\n", - "problem.discretise_domain(20, 'random', locations=['D'])\n" + "pinn.problem.discretise_domain(n=20, mode='random', variables=['x'])" ] }, { + "attachments": {}, "cell_type": "markdown", + "id": "27a287db", "metadata": {}, "source": [ - "We are going to use equispaced points for sampling. We need to sample in all the conditions domains. In our case we sample in `D` and `x0`." + "### Very simple training and plotting\n", + "\n", + "Once we have defined the PINA model, created a network, and sampled points in the domain, we have everything necessary for training a PINN. To do so, we make use of the `Trainer` class." ] }, { "cell_type": "code", "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "# sampling for training\n", - "problem.discretise_domain(1, 'random', locations=['x0'])\n", - "problem.discretise_domain(20, 'grid', locations=['D'])\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Very simple training and plotting\n", - "\n", - "Once we have defined the PINA model, created a network and sampled points in the domain, we have everything that is necessary for training a `PINN`. For training we use the `Trainer` class. Here we show a very short training and some method for plotting the results. Notice that by default all relevant metrics (e.g. MSE error during training) is going to be tracked using a `lightining` logger, by default `CSVLogger`. If you want to track the metric by yourself without a logger, use `pina.callbacks.MetricTracker`." - ] - }, - { - "cell_type": "code", - "execution_count": 6, + "id": "f8b4f496", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", - "TPU available: False, using: 0 TPU cores\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML\n", + " warnings.warn(\"Can't initialize NVML\")\n", + "GPU available: True (cuda), used: True\n", + "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", - "/Users/dariocoscia/anaconda3/envs/pina/lib/python3.9/site-packages/lightning/pytorch/trainer/connectors/logger_connector/logger_connector.py:67: UserWarning: Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `lightning.pytorch` package, due to potential conflicts with other packages in the ML ecosystem. For this reason, `logger=True` will use `CSVLogger` as the default logger, unless the `tensorboard` or `tensorboardX` packages are found. Please `pip install lightning[extra]` or one of them to enable TensorBoard support by default\n", - " warning_cache.warn(\n", + "/u/n/ndemo/.local/lib/python3.9/site-packages/lightning/pytorch/loops/utilities.py:72: PossibleUserWarning: `max_epochs` was not set. Setting it to 1000 epochs. To train without an epoch limit, set `max_epochs=-1`.\n", + " rank_zero_warn(\n", + "2023-10-17 10:02:21.318700: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2023-10-17 10:02:21.345355: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-10-17 10:02:23.572602: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "/opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0)\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -293,135 +338,45 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 2999: : 1it [00:00, 226.55it/s, v_num=10, mean_loss=2.14e-5, x0_loss=4.24e-5, D_loss=2.93e-7] " - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5e99075a1776436eb94b80f7dfbbc794", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ - "`Trainer.fit` stopped: `max_epochs=3000` reached.\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 2999: : 1it [00:00, 159.67it/s, v_num=10, mean_loss=2.14e-5, x0_loss=4.24e-5, D_loss=2.93e-7]\n" + "`Trainer.fit` stopped: `max_epochs=1000` reached.\n" ] } ], "source": [ - "# create the trainer\n", - "from pina.trainer import Trainer\n", - "from pina.callbacks import MetricTracker\n", + "from pina import Trainer\n", "\n", - "trainer = Trainer(solver=pinn, max_epochs=3000, callbacks=[MetricTracker()])\n", + "# initialize trainer\n", + "trainer = Trainer(pinn)\n", "\n", - "# train\n", + "# train the model\n", "trainer.train()" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After the training we can inspect trainer logged metrics (by default PINA logs mean square error residual loss). The logged metrics can be accessed online using one of the `Lightinig` loggers. The final loss can be accessed by `trainer.logged_metrics`." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'mean_loss': tensor(2.1357e-05),\n", - " 'x0_loss': tensor(4.2421e-05),\n", - " 'D_loss': tensor(2.9291e-07)}" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# inspecting final loss\n", - "trainer.logged_metrics\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By using the `Plotter` class from PINA we can also do some quatitative plots of the solution. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from pina.plotter import Plotter\n", - "\n", - "# plotting the loss\n", - "plotter = Plotter()\n", - "plotter.plot(trainer=trainer)" - ] - }, - { - "cell_type": "markdown", - "id": "7693a9f2", - "metadata": {}, - "source": [ - "The solution is completely overlapped with the actual one. We can also plot easily the loss:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "d18e866e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plotter.plot_loss(trainer=trainer, metric='mean_loss', log_scale=True)" - ] } ], "metadata": { "interpreter": { - "hash": "56be7540488f3dc66429ddf54a0fa9de50124d45fcfccfaf04c4c3886d735a3a" + "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" }, "kernelspec": { - "display_name": "Python 3.9.16 64-bit ('dl': conda)", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -434,7 +389,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/tutorials/tutorial1/tutorial.py b/tutorials/tutorial1/tutorial.py index 37f089d..b46d338 100644 --- a/tutorials/tutorial1/tutorial.py +++ b/tutorials/tutorial1/tutorial.py @@ -3,18 +3,19 @@ # # Tutorial 1: Physics Informed Neural Networks on PINA -# In this tutorial we will show the typical use case of PINA on a toy problem solved by Physics Informed Problems. Specifically, the tutorial aims to introduce the following topics: +# In this tutorial, we will demonstrate a typical use case of PINA on a toy problem. Specifically, the tutorial aims to introduce the following topics: # # * Defining a PINA Problem, -# * Build a `PINN` Solver, +# * Building a `pinn` object, +# * Sampling points in a domain # -# We will show in detailed each step, and at the end we will solve a very simple problem with PINA. +# These are the three main steps needed **before** training a Physics Informed Neural Network (PINN). We will show each step in detail, and at the end, we will solve the problem. -# ## Defining a Problem +# ## PINA Problem -# ### Initialize the Problem class -# The problem definition in the PINA framework is done by building a phython `class`, inherited from `AbsractProblem`. A problem is an object which explains what the solver is supposed to solve. For Physics Informed Neural Networks, a problem can be inherited from one or more problem (already implemented) classes (`SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`), depending on the nature of the problem treated. -# Let's see an example to better understand: +# ### Initialize the `Problem` class + +# Problem definition in the PINA framework is done by building a python `class`, which inherits from one or more problem classes (`SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`) depending on the nature of the problem. Below is an example: # #### Simple Ordinary Differential Equation # Consider the following: # @@ -27,55 +28,58 @@ # \end{equation} # $$ # -# with analytical solution $u(x) = e^x$. In this case we have that our ODE depends only on the spatial variable $x\in(0,1)$ , this means that our problem class is going to be inherited from `SpatialProblem` class: +# with the analytical solution $u(x) = e^x$. In this case, our ODE depends only on the spatial variable $x\in(0,1)$ , meaning that our `Problem` class is going to be inherited from the `SpatialProblem` class: # # ```python # from pina.problem import SpatialProblem -# from pina.geometry import CartesianDomain +# from pina import CartesianProblem # # class SimpleODE(SpatialProblem): # # output_variables = ['u'] -# spatial_domain = CartesianDomain({'x': [0, 1]}) +# spatial_domain = CartesianProblem({'x': [0, 1]}) # # # other stuff ... # ``` # -# Notice that we define `output_variables` as a list of symbols, indicating the output variables of our equation (in this case only $u$). The `spatial_domain` variable indicates where the sample points are going to be sampled in the domain, in this case $x\in(0,1)$ -# -# What about if we also have a time depencency in the equation? Well in that case our `class` will inherit from both `SpatialProblem` and `TimeDependentProblem`: -# ```python -# from pina.problem import SpatialProblem, TimeDependentProblem -# from pina.geometry import CartesianDomain -# -# class TimeSpaceODE(SpatialProblem, TimeDependentProblem): -# -# output_variables = ['u'] -# spatial_domain = CartesianDomain({'x': [0, 1]}) -# temporal_domain = CartesianDomain({'x': [0, 1]}) -# -# # other stuff ... -# ``` -# where we have included the `temporal_domain` variable indicating the time domain where we want the solution. -# -# Summarizing, in PINA we can initialize a problem with a class which is inherited from three base classes: `SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`, depending on the type of problem we are considering. For reference: -# * `SpatialProblem` $\rightarrow$ spatial variable(s) presented in the differential equation -# * `TimeDependentProblem` $\rightarrow$ time variable(s) presented in the differential equation -# * `ParametricProblem` $\rightarrow$ parameter(s) presented in the differential equation +# Notice that we define `output_variables` as a list of symbols, indicating the output variables of our equation (in this case only $u$). The `spatial_domain` variable indicates where the sample points are going to be sampled in the domain, in this case $x\in[0,1]$. + +# What about if our equation is also time dependent? In this case, our `class` will inherit from both `SpatialProblem` and `TimeDependentProblem`: # -# ### Write the problem class +# In[1]: + + +from pina.problem import SpatialProblem, TimeDependentProblem +from pina import CartesianDomain + +class TimeSpaceODE(SpatialProblem, TimeDependentProblem): + + output_variables = ['u'] + spatial_domain = CartesianDomain({'x': [0, 1]}) + temporal_domain = CartesianDomain({'t': [0, 1]}) + + # other stuff ... + + +# where we have included the `temporal_domain` variable, indicating the time domain wanted for the solution. # -# Once the problem class is initialized we need to write the differential equation in PINA language. For doing this we need to load the pina operators found in `pina.operators` module. Let's again consider the Equation (1) and try to write the PINA model class: +# In summary, using PINA, we can initialize a problem with a class which inherits from three base classes: `SpatialProblem`, `TimeDependentProblem`, `ParametricProblem`, depending on the type of problem we are considering. For reference: +# * `SpatialProblem` $\rightarrow$ a differential equation with spatial variable(s) +# * `TimeDependentProblem` $\rightarrow$ a time-dependent differential equation +# * `ParametricProblem` $\rightarrow$ a parametrized differential equation + +# ### Write the `Problem` class +# +# Once the `Problem` class is initialized, we need to represent the differential equation in PINA. In order to do this, we need to load the PINA operators from `pina.operators` module. Again, we'll consider Equation (1) and represent it in PINA: # In[2]: from pina.problem import SpatialProblem from pina.operators import grad -from pina.geometry import CartesianDomain -from pina.equation import Equation -from pina import Condition +from pina import Condition, CartesianDomain +from pina.equation.equation import Equation import torch @@ -91,50 +95,54 @@ class SimpleODE(SpatialProblem): # computing the derivative u_x = grad(output_, input_, components=['u'], d=['x']) - # extracting u input variable + # extracting the u input variable u = output_.extract(['u']) - # calculate residual and return it + # calculate the residual and return it return u_x - u - # defining initial condition + # defining the initial condition def initial_condition(input_, output_): - # setting initial value + # setting the initial value value = 1.0 - # extracting u input variable + # extracting the u input variable u = output_.extract(['u']) - # calculate residual and return it + # calculate the residual and return it return u - value - # Conditions to hold + # conditions to hold conditions = { 'x0': Condition(location=CartesianDomain({'x': 0.}), equation=Equation(initial_condition)), 'D': Condition(location=CartesianDomain({'x': [0, 1]}), equation=Equation(ode_equation)), } - # defining true solution + # sampled points (see below) + input_pts = None + + # defining the true solution def truth_solution(self, pts): return torch.exp(pts.extract(['x'])) -# After the defition of the Class we need to write different class methods, where each method is a function returning a residual. This functions are the ones minimized during the PINN optimization, for the different conditions. For example, in the domain $(0,1)$ the ODE equation (`ode_equation`) must be satisfied, so we write it by putting all the ODE equation on the right hand side, such that we return the zero residual. This is done for all the conditions (`ode_equation`, `initial_condition`). Notice that we do not pass directly a `python` function, but an `Equation` object, which is initialized with the `python` function. This is done so that all the computations, and internal checks are done inside PINA. +# After we define the `Problem` class, we need to write different class methods, where each method is a function returning a residual. These functions are the ones minimized during PINN optimization, given the initial conditions. For example, in the domain $[0,1]$, the ODE equation (`ode_equation`) must be satisfied. We represent this by returning the difference between subtracting the variable `u` from its gradient (the residual), which we hope to minimize to 0. This is done for all conditions (`ode_equation`, `initial_condition`). # -# Once we have defined the function we need to tell the network where these methods have to be applied. For doing this we use the class `Condition`. In `Condition` we pass the location points and the function to be minimized on those points (other possibilities are allowed, see the documentation for reference). +# Once we have defined the function, we need to tell the neural network where these methods are to be applied. To do so, we use the `Condition` class. In the `Condition` class, we pass the location points and the function we want minimized on those points (other possibilities are allowed, see the documentation for reference) as parameters. +# +# Finally, it's possible to define a `truth_solution` function, which can be useful if we want to plot the results and see how the real solution compares to the expected (true) solution. Notice that the `truth_solution` function is a method of the `PINN` class, but is not mandatory for problem definition. # -# Finally, it's possible to defing the `truth_solution` function, which can be useful if we want to plot the results and see a comparison of real vs expected solution. Notice that `truth_solution` function is a method of the `PINN` class, but it is not mandatory for the problem definition. -# ## Build PINN object +# ## Build the `PINN` object -# In PINA we have already developed different solvers, one of them is `PINN`. The basics requirements for building a `PINN` model are a problem and a model. We have already covered the problem definition. For the model one can use the default models provided in PINA or use a custom model. We will not go into the details of model definition, Tutorial2 and Tutorial3 treat the topic in detail. +# The basic requirements for building a `PINN` model are a `Problem` and a model. We have just covered the `Problem` definition. For the model parameter, one can use either the default models provided in PINA or a custom model. We will not go into the details of model definition (see Tutorial2 and Tutorial3 for more details on model definition). # In[3]: from pina.model import FeedForward -from pina.solvers import PINN +from pina import PINN # initialize the problem problem = SimpleODE() @@ -147,81 +155,41 @@ model = FeedForward( input_dimensions=len(problem.input_variables) ) -# create the PINN object, see the PINN documentation for extra argument in the constructor +# create the PINN object pinn = PINN(problem, model) -# Creating the pinn object is fairly simple by using the `PINN` class, different optional inputs can be passed: optimizer, batch size, ... (see [documentation](https://mathlab.github.io/PINA/) for reference). +# Creating the `PINN` object is fairly simple. Different optional parameters include: optimizer, batch size, ... (see [documentation](https://mathlab.github.io/PINA/) for reference). -# ## Sample points in the domain and create the Trainer +# ## Sample points in the domain -# Once the `PINN` object is created, we need to generate the points for starting the optimization. For doing this we use the `.discretise_domain` method of the `AbstractProblem` class. Let's see some methods to sample in $(0,1 )$. +# Once the `PINN` object is created, we need to generate the points for starting the optimization. To do so, we use the `sample` method of the `CartesianDomain` class. Below are three examples of sampling methods on the $[0,1]$ domain: # In[4]: -# sampling 20 points in (0, 1) with discrite step -problem.discretise_domain(20, 'grid', locations=['D']) +# sampling 20 points in [0, 1] through discretization +pinn.problem.discretise_domain(n=20, mode='grid', variables=['x']) -# sampling 20 points in (0, 1) with latin hypercube -problem.discretise_domain(20, 'latin', locations=['D']) +# sampling 20 points in (0, 1) through latin hypercube samping +pinn.problem.discretise_domain(n=20, mode='latin', variables=['x']) # sampling 20 points in (0, 1) randomly -problem.discretise_domain(20, 'random', locations=['D']) - - -# We are going to use equispaced points for sampling. We need to sample in all the conditions domains. In our case we sample in `D` and `x0`. - -# In[5]: - - -# sampling for training -problem.discretise_domain(1, 'random', locations=['x0']) -problem.discretise_domain(20, 'grid', locations=['D']) +pinn.problem.discretise_domain(n=20, mode='random', variables=['x']) # ### Very simple training and plotting # -# Once we have defined the PINA model, created a network and sampled points in the domain, we have everything that is necessary for training a `PINN`. For training we use the `Trainer` class. Here we show a very short training and some method for plotting the results. Notice that by default all relevant metrics (e.g. MSE error during training) is going to be tracked using a `lightining` logger, by default `CSVLogger`. If you want to track the metric by yourself without a logger, use `pina.callbacks.MetricTracker`. +# Once we have defined the PINA model, created a network, and sampled points in the domain, we have everything necessary for training a PINN. To do so, we make use of the `Trainer` class. -# In[6]: +# In[5]: -# create the trainer -from pina.trainer import Trainer -from pina.callbacks import MetricTracker +from pina import Trainer -trainer = Trainer(solver=pinn, max_epochs=3000, callbacks=[MetricTracker()]) +# initialize trainer +trainer = Trainer(pinn) -# train +# train the model trainer.train() - -# After the training we can inspect trainer logged metrics (by default PINA logs mean square error residual loss). The logged metrics can be accessed online using one of the `Lightinig` loggers. The final loss can be accessed by `trainer.logged_metrics`. - -# In[7]: - - -# inspecting final loss -trainer.logged_metrics - - -# By using the `Plotter` class from PINA we can also do some quatitative plots of the solution. - -# In[8]: - - -from pina.plotter import Plotter - -# plotting the loss -plotter = Plotter() -plotter.plot(trainer=trainer) - - -# The solution is completely overlapped with the actual one. We can also plot easily the loss: - -# In[9]: - - -plotter.plot_loss(trainer=trainer, metric='mean_loss', log_scale=True) - diff --git a/tutorials/tutorial2/tutorial.ipynb b/tutorials/tutorial2/tutorial.ipynb index 36e7bd3..fa71784 100644 --- a/tutorials/tutorial2/tutorial.ipynb +++ b/tutorials/tutorial2/tutorial.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "de19422d", "metadata": {}, "source": [ "# Tutorial 2: resolution of Poisson problem and usage of extra-features" @@ -9,6 +10,7 @@ }, { "cell_type": "markdown", + "id": "492a37b4", "metadata": {}, "source": [ "### The problem definition" @@ -16,6 +18,7 @@ }, { "cell_type": "markdown", + "id": "2c0b1777", "metadata": {}, "source": [ "This tutorial presents how to solve with Physics-Informed Neural Networks a 2D Poisson problem with Dirichlet boundary conditions. Using extrafeatures.\n", @@ -32,6 +35,7 @@ }, { "cell_type": "markdown", + "id": "330528d4", "metadata": {}, "source": [ "First of all, some useful imports." @@ -40,6 +44,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "ad0b8dd7", "metadata": {}, "outputs": [], "source": [ @@ -60,6 +65,7 @@ }, { "cell_type": "markdown", + "id": "6373ff07", "metadata": {}, "source": [ "Now, the Poisson problem is written in PINA code as a class. The equations are written as *conditions* that should be satisfied in the corresponding domains. *truth_solution*\n", @@ -69,6 +75,7 @@ { "cell_type": "code", "execution_count": 2, + "id": "82c24040", "metadata": {}, "outputs": [], "source": [ @@ -107,6 +114,7 @@ }, { "cell_type": "markdown", + "id": "7086c64d", "metadata": {}, "source": [ "### The problem solution " @@ -114,6 +122,7 @@ }, { "cell_type": "markdown", + "id": "72ba4501", "metadata": {}, "source": [ "After the problem, the feed-forward neural network is defined, through the class `FeedForward`. This neural network takes as input the coordinates (in this case $x$ and $y$) and provides the unkwown field of the Poisson problem. The residual of the equations are evaluated at several sampling points (which the user can manipulate using the method `CartesianDomain_pts`) and the loss minimized by the neural network is the sum of the residuals.\n", @@ -124,6 +133,7 @@ { "cell_type": "code", "execution_count": 3, + "id": "e7d20d6d", "metadata": { "scrolled": true }, @@ -132,12 +142,20 @@ "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML\n", + " warnings.warn(\"Can't initialize NVML\")\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", - "/Users/dariocoscia/anaconda3/envs/pina/lib/python3.9/site-packages/lightning/pytorch/trainer/connectors/logger_connector/logger_connector.py:67: UserWarning: Starting from v1.9.0, `tensorboardX` has been removed as a dependency of the `lightning.pytorch` package, due to potential conflicts with other packages in the ML ecosystem. For this reason, `logger=True` will use `CSVLogger` as the default logger, unless the `tensorboard` or `tensorboardX` packages are found. Please `pip install lightning[extra]` or one of them to enable TensorBoard support by default\n", - " warning_cache.warn(\n", + "Missing logger folder: /u/n/ndemo/PINA/tutorials/tutorial2/lightning_logs\n", + "2023-10-17 10:09:18.208459: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2023-10-17 10:09:18.235849: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-10-17 10:09:20.462393: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "/opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0)\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -151,11 +169,18 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 129.50it/s, v_num=45, mean_loss=0.00196, gamma1_loss=0.0093, gamma2_loss=0.000146, gamma3_loss=8.16e-5, gamma4_loss=0.000201, D_loss=8.44e-5] " - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f3189e1fab9a48868024a2b9cfa9d8df", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", @@ -163,13 +188,6 @@ "text": [ "`Trainer.fit` stopped: `max_epochs=1000` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 101.25it/s, v_num=45, mean_loss=0.00196, gamma1_loss=0.0093, gamma2_loss=0.000146, gamma3_loss=8.16e-5, gamma4_loss=0.000201, D_loss=8.44e-5]\n" - ] } ], "source": [ @@ -189,20 +207,22 @@ }, { "cell_type": "markdown", + "id": "eb83cc7a", "metadata": {}, "source": [ - "Now the *Plotter* class is used to plot the results.\n", + "Now the `Plotter` class is used to plot the results.\n", "The solution predicted by the neural network is plotted on the left, the exact one is represented at the center and on the right the error between the exact and the predicted solutions is showed. " ] }, { "cell_type": "code", "execution_count": 4, + "id": "1ab83c03", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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"text/plain": [ "
" ] @@ -218,6 +238,7 @@ }, { "cell_type": "markdown", + "id": "c3ae06e7", "metadata": {}, "source": [ "### The problem solution with extra-features" @@ -225,6 +246,7 @@ }, { "cell_type": "markdown", + "id": "a1e76351", "metadata": {}, "source": [ "Now, the same problem is solved in a different way.\n", @@ -246,16 +268,18 @@ { "cell_type": "code", "execution_count": 5, + "id": "ef3ad372", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -269,11 +293,18 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 112.55it/s, v_num=46, mean_loss=2.73e-7, gamma1_loss=1.13e-6, gamma2_loss=7.1e-8, gamma3_loss=4.69e-8, gamma4_loss=6.81e-8, D_loss=4.65e-8] " - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "266cc2ef726b4b68a4f3dfaed9eb3d8f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", @@ -281,13 +312,6 @@ "text": [ "`Trainer.fit` stopped: `max_epochs=1000` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 92.69it/s, v_num=46, mean_loss=2.73e-7, gamma1_loss=1.13e-6, gamma2_loss=7.1e-8, gamma3_loss=4.69e-8, gamma4_loss=6.81e-8, D_loss=4.65e-8] \n" - ] } ], "source": [ @@ -318,6 +342,7 @@ }, { "cell_type": "markdown", + "id": "9748a13e", "metadata": {}, "source": [ "The predicted and exact solutions and the error between them are represented below.\n", @@ -327,11 +352,12 @@ { "cell_type": "code", "execution_count": 6, + "id": "2be6b145", "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -346,6 +372,7 @@ }, { "cell_type": "markdown", + "id": "e7bc0577", "metadata": {}, "source": [ "### The problem solution with learnable extra-features" @@ -353,6 +380,7 @@ }, { "cell_type": "markdown", + "id": "86c1d7b0", "metadata": {}, "source": [ "We can still do better!\n", @@ -371,16 +399,18 @@ { "cell_type": "code", "execution_count": 7, + "id": "ae8716e7", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -394,11 +424,18 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 91.07it/s, v_num=47, mean_loss=2.11e-6, gamma1_loss=1.03e-5, gamma2_loss=4.17e-8, gamma3_loss=4.28e-8, gamma4_loss=5.65e-8, D_loss=6.21e-8] " - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "3412e2b4e5374ecea0abbc9eb81e5792", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", @@ -406,13 +443,6 @@ "text": [ "`Trainer.fit` stopped: `max_epochs=1000` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 76.19it/s, v_num=47, mean_loss=2.11e-6, gamma1_loss=1.03e-5, gamma2_loss=4.17e-8, gamma3_loss=4.28e-8, gamma4_loss=5.65e-8, D_loss=6.21e-8]\n" - ] } ], "source": [ @@ -448,6 +478,7 @@ }, { "cell_type": "markdown", + "id": "0319fb3b", "metadata": {}, "source": [ "Umh, the final loss is not appreciabily better than previous model (with static extra features), despite the usage of learnable parameters. This is mainly due to the over-parametrization of the network: there are many parameter to optimize during the training, and the model in unable to understand automatically that only the parameters of the extra feature (and not the weights/bias of the FFN) should be tuned in order to fit our problem. A longer training can be helpful, but in this case the faster way to reach machine precision for solving the Poisson problem is removing all the hidden layers in the `FeedForward`, keeping only the $\\alpha$ and $\\beta$ parameters of the extra feature." @@ -456,16 +487,18 @@ { "cell_type": "code", "execution_count": 8, + "id": "daa9cf17", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -479,11 +512,18 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 149.45it/s, v_num=48, mean_loss=1.34e-16, gamma1_loss=6.66e-16, gamma2_loss=2.6e-18, gamma3_loss=4.84e-19, gamma4_loss=2.59e-18, D_loss=4.84e-19] " - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e16800d1d55449cc8c6be55c02e0a251", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", @@ -491,13 +531,6 @@ "text": [ "`Trainer.fit` stopped: `max_epochs=1000` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 999: : 1it [00:00, 117.81it/s, v_num=48, mean_loss=1.34e-16, gamma1_loss=6.66e-16, gamma2_loss=2.6e-18, gamma3_loss=4.84e-19, gamma4_loss=2.59e-18, D_loss=4.84e-19]\n" - ] } ], "source": [ @@ -517,6 +550,7 @@ }, { "cell_type": "markdown", + "id": "150b3e62", "metadata": {}, "source": [ "In such a way, the model is able to reach a very high accuracy!\n", @@ -528,11 +562,12 @@ { "cell_type": "code", "execution_count": 9, + "id": "96e51c43", "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] @@ -544,35 +579,6 @@ "source": [ "plotter.plot(trainer_learn)" ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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IabW1WCy88cYb3Hzzzbz88sv07NmTSy65hClTptCtWzcAYmJiAPO17aZNm5rf4fHQtWtXunbt6rvWgw8+yCeffMKsWbO4/fbbiYyMxGq1EhoaWuW88p9P+eejjz7KlClTuP/++33X6tq1a8XP8fj783jIzc0lNDTUty80NJT9+/fzz3/+k9TUVB555BHfsddff52WLVuyefNm2rdvX6135+uvv06zZs1Yv349Xbp08d1vVFRUlboB3//H5bxeb7V9gwcP5ne/+51ve9q0aUyePJk77rgDwzBo06YNzz77LIMHD+bFF19k586dhISEMHr0aMLCwkhMTKR79+4nvP/a5vF48Hq9OJ1OrFZrlWOn+2dLnQ0wT6a0tJSVK1dyzz33+PZZLBaGDh3Kjz/+eF6+829/+xsPPvhgtf1z5swhODj4vHxnXTB37lwALvVeynrPbnKte/j4wH3Ef34dzazNqrXflgfv77CSVWSGlpEBXka28NCvqReLckyRs1L+HIqI/+g5FPEvPYMi/qfn8Pyz2WzExcWRn59PaWmpudNZSKQfask7dgzs7tNuP2zYMDZu3MiPP/7IihUrmDt3Lk8++STPP/88V199ta9dUVGRr0MYmD0wn3jiCebMmUNmZiZut5uioiK2bt3qa+fxeCguLq5yXnFxMV6v17cvLS2Na665pkqbkykuLiYsLKzKvCgWi4W8vDxWrlzJggULCA8Pr3beunXriIuLY/v27Tz22GOsXLmS7OxsX1C4efNmkpKSyM/PB8yempVrcrlclJaWVtvndDqr3G+XLl2qtFm9ejUbNmzgww8/9O0rDz3XrVtHv379aNGiBW3atOHSSy/l0ksvZcyYMXUmryotLaWoqIgffvgBl8tV5VhhYeFpXaNeBpiHDx/G7XbTrFnVAK1Zs2Zs3rz5tK8zdOhQ1qxZQ0FBAS1atOCDDz6gf//+Nba95557mDFjhm87Ly+PxMREhg8fXuMvdX3ndDqZO3cuw4YNw263A9ByX1+u++ZGCMrkzZL/8MKgf9IltovvnPmbD/LiO2l4vGC1GFgMyCmFd3dYORLYlCcv70JIYL38lRPxi5qeQxGpXXoORfxLz6CI/+k5rD3FxcXs2bOH0NBQgoKCzJ3eMLM3ZC0LtwfDGb5NGR4ezvjx4xk/fjwPP/ww06ZN44knnuCWW27xtXE4HFUylLvuuot58+bx97//nbZt2+JwOLjyyisxDMPXzmKxEBQUVOW8oKCgKm0cDke1NicTFBSExWIhNTW12rHi4mLGjBnD448/Xu1YfHw8ISEhXHPNNSQlJfHaa6+RkJCAx+OhW7du2Gw2wsPDfT07Q0JCqtQUEBCA3W6vss/r9VbZZ7FYiImJqdKmqKiI6667jhkzZlR7yzUpKYmAgABWr17NggULmDt3Lk888QRPPvkkS5curTZWqD8UFxfjcDi45JJLKn63y5xu6Nyo06TKA8OeSmBgIIGBgdX22+32Bv2HeOX769MyieAj0ymMfoU89nDztzfzyIWPMDx5ONsO5vO799fh8cKYbvE8OrErgTYLb/20i7/PTmfupoPc/HYaM6/viyPAeopvFZHKGvqfMyL1gZ5DEf/SMyjif3oOzz+3241hGFgsFiyWSlOWWMP8V9TP0LlzZ2bNmuW7F7vdjtfrrXJvS5Ys4brrruPyyy8HzB6ZO3fuZNCgQb52AQEBeDyeKueVr5d/duvWje+++45f//rXp1Xb8edX1qtXLz766CNat25d4+zfR44cIT09nddee42LL74YgEWLFvmuVx64AtXut0mTJmRmZvr2ud1uNmzYwODBg6u0K/89KNejRw/S09Np165djTWD+XMaPnw4w4cP54EHHiAyMpIFCxYwadKk0/qZnE8WiwXDMGr8c+R0/1yps5P4nExsbCxWq5WsrKwq+7OysoiLi/NTVQ2fYRhc2DqJwl03Eh/QjSJXEb///vc8sewJ7vtsDUVONxe2jeGZKalEOOwE2a3ceHFr/ndTP0IDbSzNyObmt1ZS4jr9bugiIiIiIiIiUncdOXKEIUOG8NZbb7F27VoyMjL44IMP+Pvf/8748eN97ZKTk5k/fz6ZmZkcPXoUgHbt2vHxxx+TlpbGmjVruPrqq6uN25icnMwPP/zAvn37qswEXtn999/P//73P+6//342bdrEunXreOKJJ87qfm6//Xays7P5xS9+wfLly9m+fTvffPMN119/PW63m6ioKGJiYnj11VfZtm0b3377bZU3dgGaNm2Kw+HwTQCUm5sLwJAhQ/jyyy/58ssv2bx5M7feeis5OTmnrOlPf/oTy5Yt4ze/+Q1paWls3bqVWbNm+Sbx+eKLL3j++edJS0tj165d/Oc//8Hj8ZCSknJWP4O6qF4GmAEBAfTq1Yv58+f79nk8HubPn3/CV8Dl3LiwTSx4Awk5ejPXdzEnUHpr01ukuR8iMDiLv03sht1a9deqV8to/n19Hxx2Kz9sOcT0d1ZT6qobA8mKiIiIiIiIyNkLDQ2lX79+PPPMM1xyySV06dKFv/71r0ybNo0XXnjB1+6pp55i7ty5JCYm0qNHD8CcoDkqKooBAwYwduxYRowYQc+ePatc/6GHHmLnzp20adOGJk2a1FjDoEGD+OCDD/jss89ITU1lyJAhvpnAz1RCQgKLFy/G7XYzfPhwunbtyp133klkZKSvh+W7777LypUr6dKlC7/73e948sknq1zDZrPx/PPP88orr5CQkOALcm+44QamTp3Kr371KwYOHEjr1q0ZPHjwKWvq1q0bX3zxBVu2bOHiiy+mR48e3HfffSQkJAAQGRnJxx9/zJAhQ+jYsSMvv/wy//vf/+jcufNZ/QzqIsPr9Xr9XURN8vPz2bZtG2B2lX366acZPHgw0dHRJCUl8d577zF16lReeeUV+vbty7PPPsv777/P5s2bq42NeT7k5eURERFBbm5ugx0D86uvvmL06NFVuvPuPVrIRU98h9VisPIvQ1ma9QN/XPAXvJYCLNi4o+d0rut8HVZL9dfEF287zPUzl1Pq8jCiczNeuLpntbBTRCqc6DkUkdqj51DEv/QMivifnsPaU1xcTEZGBq1atao2TqA0bh6Ph7y8PMLDw0/4CnlddrLf7dPN1+rsGJgrVqyokkKXd8edOnUqM2fOZMqUKRw6dIj77ruPzMxMUlNTmT17dq2El41Zi6hgOsaHs+lAHv/9cRclrkSObbuTiKRPcQdt4NlVz/Ltnm959MJHSY5IrnLuhW1jefXaXtz0n5V8syGL299exdNTUgmtYWKfw/klLNx6iM0HjrH3aBFHC0sJDbQRGWynfbMwurWIpEvzcIID6uyvsIiIiIiIiIiInAN1Nv0ZNGgQp+ocOn36dN/7/nJuGbt/JPnQPMjtCrGtqxy7ZWBrfvtuGk/N3VK2J4zH+j9NafAynlj2BGsPreWKz6/gzl538osOv8BiVPztwKCUprxybS9u/u9K5mzMYtRzPzDt4tZ0Tggnp9DJ0oxsFm87zIb9p56FymYx6Nw8gj4to+jZMopWsSEkRgcTbLdisZizcnm9XlweL063B6fbi8vt8W273F7sNgshAVYcAVYCrJZqs3mJiIiIiIiIiIh/1dkAU/zL8t0jdN+7FNfei6oFmGO6JfDcvK3sOFwAwFV9EhndLQGYQL+4fty35D5+OvATjy97nG93f8sTlzxBrCPWd/7gDk15Z1o/7vjfavZkF3HfrA011tA5IZw+ydEkRgcTGxrAsWIXh/NL2Lg/jzV7c8jKK2HNnhzW7MmBRRlVzg2wWvCUhZeny2oxCLabYWZwgJXgABvBAVZsVgOrxcBiVHya6xy3bX7aLAZWa9mnpfzTUnXbeoL9FqPs+yzYLQY2qwW71SDAasFuM9varRYCalq3Wcx2VgtWi4JYEREREREREWkYFGBKzaJbw96lGNk7qh2yWgzevKEv36UfxOPxclXfJN+x+NB4Xhn2Cu+nv8/TK59mWeYyfvnVL/nX0H/RKqKVr13v5GjmzBjIu8t2M3djFnuPFhEaaCM1MZIBbWPo3yaGpmEnHvPD6/WyL6eI5TuzWZZxlI0H8th9pICjhU4ASt0nniTIVhYS2iwWSl0eX1u3x8uxEhfHSlxn/OOqawwDM9y0WrBZjWrr5cGnw24hyG7FYbcS5Fssvm1H2XZQlW0rjgALIYE2QgNthAXaCQm0YtN4piIiIiIiIiJyHijAlBp5o81el8bR6gEmQGJ0ML/qn1zjMYth4aoOV9E3vi+3z7udvfl7ufbra3np0pfo1qSbr11ooI0bL27NjRe3rvE6J2MYBi2igmkRFczEHi18+wtLXRSVuilxeczekL7Azgws7Vaj2mviLreHQqebwhI3haUuCkvdZYt5LafHi8fjxeP14vZ9gsdbsc/t8eL1grvStsvjxe0xX1l3u8u3j9tfvu324qq8r2zb6a543d3pNsPW8u3K68f3NPV6McPZWpzt3WG3EhZkIzTIRlig+RkaaCM00E5YkI3wIBtRIQFEhwQQGRxAdHAAUSF2okMCcNiten1fRERERERERGqkAFNqVB5gUkMPzNPVOqI1b41+i998+xvWHV7HzXNv5pVhr1QJMc8187XvM/u1tlkthFsthAfV3xn1PB4vTs/xQac55qfT7aHUVR6ImutOt4cSl4dip5sip5uSss9ip6fss3zxUFTqptjlLvv0UFxqti0sdZFX7PKFpEVl1zh4rOSM6w+wWcoCzQBiQgJoGhZI0/AgmoYF0iw8iKbhgTQLMz+D7NVnuBcRERERERGRhksBptTIG1XWA/NnBJgAMY4YXh/+OrfPv50VWStqJcRsjCwWg0CLlRomdD/vSlxuCkrc5Be7OFbi5Fixi/xiF/llr+PnF7s4Vuwkt8hJTqGTo4WlZBeUcrSwlKMFTkrdZk/RzLxiMvOKT/l94UE24iKCaB7poEVUMM2jHLSIcvi2Y0MD1JtTREREREREpAFRgCk1i0oGwCjKhqKj4Ig660sF24N58dIXuW3+bazMWsnNc2/m1WGv0rVJ13NUrPhToM1KoM1KdEjAGZ/r9XopLHWTXVBKTqGT7MJSjuSXcPBYCVl5xRw8VsLBvGKy8sztEpeHvGIXecX5bMnKP0E9lrJQM5ikaAeJUcEkRQeTGB1MUkxwve5pKyIiIiIiItIYKcCUmgWGUWyLIMiVa75G3rzXz7pcsD2Yly59iVvn3cqqg6u4ae5N6okpGIZBSKCNkEAbidEnb+v1eskrdnEwr5gDucXsyyli39Ei9h4tZO/RIvblFJFZFnLuOFTAjkMFNV4nwmEnKdoMNVtEO3zrSdHBJEQ6sGsyIhEREREREZE6RQGmnFB+YJwZYB75+QEmmCHmv4b+yxdi3jz3Zl4e9jLdm3Q/B9VKQ2cYBhEOOxEOO+2ahdXYptTl4UCuGWzuOVrInuwidmcXlq0Xcji/lNwiJ+v25bJuX2618y0GxEc4ynpsOip6bpZ9xoTo9XQREREREZGGZMGCBQwePJijR48SGRlZY5uZM2dy5513kpOTU6u1SQUFmHJCBYFNiS1I/1kT+RyvPMSsPCbmy0NfJrVp6jn7Dmm8AmwWWsaE0DImpMbjBSWuqsFmdmGVzxKXx+zZmVPEjzX82gcHWM2em1HlvTYdNI8KJirYTmRwAJHBdiIddmzqxSkiIiIiIo3IddddR05ODp9++qm/S6mzHnjgAR588MFq++fOncvQoUN/9vVPJ4itzxRgygkVBcSYK8f2n9Prlo+JOf3b6SzPXM7Nc2/mHwP/wcUtLj6n3yNyvJBAGx3iwukQF17tmNfr5dCxEvYcNcPM3Ueq9t7MzCumsNTN5sxjbM48dtLvCQu0ERliJyzQjiPAisNuJchuLVu3mNsB1rLxQy3YrQZ2qwW71UKA1YLdZm5b8bLxqEHk9iM4AgN87QJs5e3McwPKzjUXQ71ERURERESkwXM6ndjt9WuOg86dOzNv3rwq+6KjTzGemh/UxZ+tAkw5oWJ72cQ9eQfO+bXLQ8zfzP8NSzOXMv3b6dzZ806u63ydwhfxC8MwaBoeRNPwIHq1rP4PkBKXm31HK3pu7jlaxO4jhRzILeJooZOcwlLyil0AHCubgR2KzkFlVl7ZvPKMzggoCzLNgNNSsV0Wfpbvs1oMbFYDm8XAajHbWC01b9uslrL9VdfNNjVvV752xXpZOFt2XYth7rOWrZe3sVgMrIaBxQJWw8BmsZjrlc8xzHYiIiIiIlK3rV+/nj/+8Y8sXLiQkJAQhg8fzjPPPENsbCwAs2fP5pFHHmH9+vVYrVb69+/Pc889R5s2bQDYuXMnrVq14t133+Wll15i6dKlvPzyyyxYsICcnBwuuuginnrqKUpLS7nqqqt49tlnfQHcf//7X5577jnS09MJCQlhyJAhPPvsszRt2rRKjYsXL+aee+5hy5YtpKam8vrrr9OlS5cT3tOsWbN48MEH2bhxIwkJCUydOpV7770Xm+3EUZvNZiMuLq7GY4sWLeKee+5hxYoVxMbGMnHiRP72t78REmK+Yfjuu+/y+uuv13gfO3fuZPDgwQBERZlZztSpU5k5cybJycnceeed3Hnnnb7vSk1NZcKECTzwwAOA+d/DL730El9//TXz58/nj3/8Iw888MBJ79Hr9fLggw/yxhtvkJWVRUxMDJMnT+b5558/4f3/HAow5YR8AeY57oFZzmFz8NLQl3hs6WN8tPUjnl75NMsyl3Fvv3tpEdbivHynyNkKtFlp3SSU1k1CT9jG5TZnST9aaM6qfqzYSbHTQ7HTTZHTTVGp+VnsdFNY6qbU5cHp9lDq9uB0eyl1uXG6veY+l4dSl5vD2TkEh4aZx91me6fbi9Nlnlfq9uD1Vq3D3A/m/zRshoEvyLRWCkMrgs6K4zZL1XaW49r7AtOy0NVqVA1My69R+fssFgNLpXaV6/GtG2YbS6VrGQbmulFpvexaxvHrZXVZfNcy78uoad2ofo3y77UYla5R9nMxjBrqP/5eKt3nierXXzyJiIiInB9er5ci17noGHFmHDbHOft3vJycHIYMGcKNN97IM888Q1FREXfddRdXXnkl3377LQAFBQXMmDGDbt26kZ+fz3333cfEiRNJS0vDYqkYouvuu+/mqaeeokePHgQFBbFgwQK+++474uPj+e6779i2bRtTpkwhNTWVadOmAWZvwocffpiUlBQOHjzIjBkzuO666/jqq6+q1PnHP/6R5557jri4OP785z8zduxYtmzZUmNPxIULF/KrX/2K559/nosvvpjt27dz0003AXD//fef8c9o+/btjBw5kkceeYQ33niDQ4cOMX36dKZPn86///1vAFwuFw8++CAdO3asdh+JiYl89NFHXH755aSnpxMeHo7D4TijGh544AEef/xxnn32WWw22ynv8aOPPuKZZ57h3XffpXPnzmRmZrJmzZozvvfTpQBTTqjoPPbALBdgDeD+/vfTPqo9/1jxDxbtW8TEWRO5vsv1XNPxGiICI87bd4ucazarheiQAKJDAs7J9ZxOJ1999RWjRw84afd9V3kA6gs4PThdFdvHB6Xl4afL48Xt8eBye3F5yha3B3eldbONF6e7rK3H62tf+VyzTaVzy465PV6cNbStfNzjNT/NdXB5PHg84C7bfzJeL7i8XjhFOzm/KoedlUPQqgHqCULQGgLRms6vfMw8x/CFzOVBb/m1rJaqYW95CGutdM2KALpqiOs7p2wbr4f0AwaHftxFgN1W6buo8XvLg+HKAXJFEEyV77VWCoYrAvWar1u5zQmvq17JIiIiDU6Rq4h+7/Sr9e9devVSgu3B5+RaL7zwAj169OCxxx7z7XvjjTdITExky5YttG/fnssvv7zKOW+88QZNmjRh48aNVXpB3nnnnUyaNKlK26ioKF544QWsVisdOnTgsssuY/78+b4A84YbbvC1bd26Nc8//zx9+vQhPz+f0NCKDir3338/w4YNA+DNN9+kRYsWfPLJJ1x55ZXV7unBBx/k7rvvZurUqb7rPvzww/zpT386aYC5bt26Kt/ZqVMnli1bxt/+9jeuueYaXy/Jdu3a8fzzzzNw4ED+9a9/ERAQwC9/+UvCw8OxWCw13kf5q+hNmzY9qzEwr776aq6//nrf9g033HDSe9y9ezdxcXEMHToUu91OUlISffv2PePvPV0KMOWEfD0wCw+DqwRsgeflewzD4OqOV9M/oT8P//QwyzOX8681/+LNDW8yuf1krky5kpbhLc/Ld4s0BDarBZsVHFj9Xcp54fF4fWGmu2zdU2W9euhZORQ96TleL24PVc7xeM2Q1ndOpXNdvnbgqXzca/7teHkIW3nd4/X6FrfHPFZtvaxdlfM85edVukbZPXrL9rs9VdfNa1BWk7fsGlRfr3Rd8xpV18vPP75374n4gmQaapBs5ZOd6f4u4rRVD2QrQk/fUBBlwzLYLFWHdLBVGjqiYttSsW0xsForeiOXD0Vh9W1bjtuu6P1c8d3lYa2l0vrxxyrqrOl4+bAUdqsFm9WC3VI2vIXVwF5p2Ar1DhYREfG/NWvW8N1331UJ7spt376d9u3bs3XrVu677z6WLl3K4cOH8Xg8AOzevbtKgNm7d+9q1+jcuTNWa8V/C8XHx7Nu3Trf9sqVK3nggQdYs2YNR48erXLtTp06+dr179/ftx4dHU1KSgqbNm064T0tXryYRx991LfP7XZTXFxMYWEhwcE1h78pKSl89tlnvu3AwEDf9dauXcvbb7/tO+b1evF4PGRkZJCSkkJaWhr/+Mc/WLt27Unv42wd/7M91T1eccUVPPvss7Ru3ZqRI0cyevRoxo4de9JX6H8OBZhyQqW2MLzWAAx3KRzLhKjzGyK2imjF/w3/P77Z9Q2vrX2NLUe38J+N/+E/G/9Dv7h+TE6ZzKWJl2K31q2BZEXk/LJYDCwY2BtmPluneWsIUGtad5cHp5VD1BMEsJUD1OMDWK+3IhCuHLpWXKsiZK4c5rqrrFcNYn3XPb7N8XVWCqPLA2uPF1xuN3v27iM+PgGvQZWAuXL7KrVVq7lSmxPeF77799Xvq7OintPh8YLH3ZAD5dNXEXKWfVbaLl+3Hx98+gLRinVfUGo1Q1W7tTxELV+vmEitfF+AzUKgrXziNav5WTYJW4DNqLrPVjFesUJXERGpzGFzsPTqpX753nMlPz+fsWPH8sQTT1Q7Fh8fD8DYsWNp2bIlr732GgkJCXg8Hrp06UJpaWmV9uXjQVZ2/NtqhmH4wr2CggJGjBjBiBEjePvtt2nSpAm7d+9mxIgR1a59pvf04IMPVusNChAUFHTC8wICAmjbtm2N17v55pu54447qh1LSkqioKCAyy+//Kzuw2Kx4D2uZ4LT6azW7vif7anuMTExkfT0dObNm8fcuXO57bbbePLJJ/n+++/PywRACjDlxAwDQuMgd3etBJjmVxqMTB7JiJYjWLhvIf/b/D8W71vM0sylLM1cSnRQNJe1vowxrcfQMbqj/iVfROQ88r2mTeP9s9YcymEPo0d38/tMjF7v8cHs8SFt1Z61lYPear2SK/UoLh/OobxXcsV21eNub9kwEGXDS3h82xXBq6vad3iqfN/x33982/Le0adq7/KYQ2K43B6cHvOzpoDXHNLCDdX/Hb3OCrBZCLRasPvCzsrBp6UiGK08MVulNoF2C4E2Kw67lSC7haDyT5uVILuVwPJ9NnO/I8Baccxm0TAEIiJ1jGEY5+xVbn/p2bMnH330EcnJyTX2zjty5Ajp6em89tprXHzxxYA5oc25sHnzZo4cOcLjjz9OYmIiACtWrKix7U8//URSUhIAR48eZcuWLXTs2LHGtj179iQ9Pb3GMPJs9OzZk40bN57wemvWrCE7O5u//e1vtGxpZjPH30dAgDmUmdtddS6EJk2acOBAxdCAeXl5ZGRknFZNp7pHh8PB2LFjGTt2LLfffjsdOnRg3bp19OzZ85TXP1MKMOWkvGHxGLm7q0/kk7ke9q2E7ledl1fLDcPgkhaXcEmLS9iXv4+PtnzEJ9s+4XDRYf678b/8d+N/aR3RmmEth9E/oT/dYrupZ6aIiDRoRvmkT+qRXCOPx4uzfLxdt7nudJvbzrLQtXy7IgD1+sYOrvl42djBvutWBKZOd8V4vqXHnVcxGVvZhGtl6yXHbZd/b2Xlxyjxz88xwGYhyFYefFYOQcsWmxl6BgfYCAmwEhx43GeAjZDAis+QABvBAVZCAm0E2iz6y2cRkQYsNzeXtLS0KvtiYmK4/fbbee211/jFL37Bn/70J6Kjo9m2bZtvVu2oqChiYmJ49dVXiY+PZ/fu3dx9993npKakpCQCAgL45z//yS233ML69et5+OGHa2z70EMPERMTQ7Nmzbj33nuJjY1lwoQJNba97777GDNmDElJSUyePBmLxcKaNWtYv349jzzyyBnXedddd3HBBRcwffp0brzxRkJCQti4cSNz587lhRde8N3HCy+8wK233lrjfbRs2RLDMPjiiy8YPXo0DoeD0NBQhgwZwsyZMxk7diyRkZHcd999VV65P5FT3ePMmTNxu93069eP4OBg3nrrLRwOhy9gPdcUYMrJhcWZn5Un8snbDzNHQ3EurHgDrv0EgqPPWwnNQ5tzR887uDX1VhbtXcSXGV/y3e7v2JG7g1fWvsIra1/BbrHTMrwlLcNbEhkYSVhAGGEBYYTaQwkNCDU/7aGEB4YTHxJPeEC4/gVaRESkAbFYDAItVgLr2b/dlk+CVlJD4Gluuyktm5it6r6aQ9FSl4dil5tip4dip/lZ4nJTVOquvt9p7nO6K0LU8mvkFbvO+b1aDMxAsyzgDA6w+rbDguyEBdkIC7IRXmndYTPYlgebDhwjKjSIcIed0EAbVvUUFRGpcxYsWECPHj2q7Pv1r3/N66+/zuLFi7nrrrsYPnw4JSUltGzZkpEjR2KxmH+59e6773LHHXfQpUsXUlJSeP755xk0aNDPrqlJkybMnDmTP//5zzz//PP07NmTf/zjH4wbN65a28cff5zf/va3bN26ldTUVD7//HNfr8bjjRgxgi+++IKHHnqIJ554ArvdTocOHbjxxhvPqs5u3brx/fffc++993LxxRfj9Xpp06YNU6ZM8d3Hiy++yKOPPso///nPGu+jefPmvsmFrr/+en71q18xc+ZM7rnnHjIyMhgzZgwRERE8/PDDp9UD81T3GBkZyeOPP86MGTNwu9107dqVzz//nJiYmLP6GZyK4T3+RXg5LXl5eURERJCbm0t4eLi/yznnymc/HmNfgnXZyzDgNzC87G8R3pkCW2ZXNL5oBgw98Sxb58Ox0mPM3z2fxfsWsyxzGdnF2Wd0fqg9lITQBJqHNicpLInkiGRaRbSiVUQrogKjFG5KnVAxC/lov7+6KtJY6TmUxsBVFqAWO90UOStCzpLjAs/issCzqNRNYambglIXhSXHfZa6KSgxPwtLXRSUmNc810IDbb6QsyL8ND8jHXYiHHYig+1EOAKIDDbXI8vWg9SFWeSM6J+Ftae4uJiMjAxatWp10nEUpfHxeDzk5eX5ZiGvb072u326+Vo9+ztqqXXlPTCPZZmfxbmw5RtzffBf4LtHYPV/YdA9YKv5bybOS1kBYUxoO4EJbSfg8XrYn7+fjNwM9hzbQ15pHsdKj3Gs9Bj5znwKnAXkl+aT78wnpySH7OJs8p35bDm6hS1Ht1S7dnhAuC/MTA6vCDZbhLXAbtE/sEVERKRhsZVNUhRynrqvuj1eipxuCktcFFQKOH3BZ4mLvGInx4pdZUvZeomTvCInmUdy8VgDOVbiMl+vB/JLXOSXuDiQe+b1BNgsRDoqQs2IYLtvO8JhJyI4oMrxyGA7EcF2wgJt+ktuERERP1GAKSflDY41VwoPm5/7VgFeiGwJF90Jy1+H/EzY/AV0qT4zVW2wGBZahLWgRViL02pf5CriQP4B9uXvY1/+Pnbl7SIjL4OduTvZn7+fvNI81hxaw5pDa6qcZzNstAhr4Qs020a2pV1UO1pFtCLQeu7HARURERFpCKwWg9BAG6FnEZBW9PwahN1up8TlrhJ05hVVBJ7lIWhukZPcIic5haXklK3nFjrJKXLi9ngpdXk4eKyEg8fObKBRq8Xw9eyMdNiJCi4PPwOIKuvlGRFctl6p52eogk8REZGfTQGmnFxw2dgFBeUBZtksVy16g9VuTuKz+FnzlXI/BZhnymFz0DqyNa0jW1c7Vuwq9gWaGblmqJmRm8HOvJ0UuYrYmbeTnXk7+W7Pd75zLIaFpLAk2kW1o11kO9pGtaVtZFuSwpKwWvSKkoiIiMi5EmizEhhqJTb0zP/y2Ov1kl/iIqfQWSnkdJJTVFqx77jt8uPFTg9uj5fsglKyC0rP6HttFsPXuzMqOMD3avvJQs/I4ABCAqwKPkVERMoowJSTKw8wC4+Yn/tWmZ/Ne5ufbQabAWbGQvB6oZ7/S1aQLYiU6BRSolOq7Pd6vWQVZvnCzO0529mWs42tR7eSV5rnCzbn7prrOyfQGkjriNa0iWxDm8g2vvUWoS0UbIqIiIjUMsMwysbJtJN4hucWO93kFjk5WmiGm+Zi9vA8WlhqBp+FZetl+44WOil1mTPNH84v5XB+KVBw2t9ptxpVg85K65FlQWh578+Isn1RwXYcdgWfIiLS8CjAlJPyhjQxVwoOmQHl3rIemM17mZ+J/cAaAMf2Q/YOiGnjn0LPM8MwiAuJIy4kjv4J/X37vV4vh4sOs/XoVrbmbPWFmttztlPsLmZT9iY2ZW+qcq0ASwDJEcm0iWhD68iKgDMxLFFjbIqIiIjUQUF2K0F2K83Cz2xSjWKn2xd6+oLOSqGnLxAtf+W9LAgtdXtwur0czi/hcP6ZveoeYLUQEWz39eqMCLb7Zncvn/wotHzSo+O2y1/11yzvIiJS1yjAlJMr74HpLoUj26HgIBgWiO9m7rc7oEUf2LUYdi5ssAHmiRiGQZPgJjQJbsKA5gN8+z1eD/uO7WNLzhYycjPYnrOd7Tnb2ZG7gxJ3SY0TCNksNpLDk309NVtHtqZNRBtahrckwFp7EySJiIiIyLkRZLcSH+EgPsJx2ud4veakR5VDz6OVXm3PqSH0PFroJLeoFKfbS6nbw6FjJRw6wzE+KwsJsPpmda8cdgYHWAkJtOEIsBISYMURYCMkwEpwoI1gu5XgQCshAWa74EBbWRsrAVaLeoWKnAGv1+vvEkTOqXPxO60AU07OHmwuzkLYv9rcF5ZgBpflki82A8xdS6DXdX4ps66xGBYSwxNJDK/6gpLb42Z/wX525Oxge25ZqFm2XuQqYlvONrblbINdFedYDSuJYYlVXkNvE9mG5PBkgmxn1gtAREREROo2wzAIDrARHGAjIfLMgs/CUnfV19zLQs9jxS7yS5zkl0+AVGJOfpRfYm6X7y91m7O8F5S6KSh1k5l3bu7JZjHKQk8bwYFWM+AMsOGwW3HYrQTZLTgCrATazMAzyGbFEWDx9XwNqtyu8r4AK0E2i+8ci3qOSj1nt5tv5BUWFuJwnP7zL1LXFRYWAhW/42dDAaacWnAs5O6uCDAjjxs1KKGH+Zm5rnbrqoesFjOMTAxLZGDiQN9+j9dDVkFWRaiZu8PXazPfme8bY3M+833nGBi0CGthBpoRbXy9NluFtyLYHuyP2xMRERERPzEMg5BAGyGBNlpEnd01SlxuX5iZX2LO7F55u6DURVGpm4ISN4WlLgpLzc+CEjeFTjeFJZX2lbopdZmBqMvj9c0efz4F2CwVgWZZ6Blot+KwWyqFoOVL5TC0LCy1WQkqC0VrahdYqZ3daqhXqZxzVquVyMhIDh48CEBwcLB+zwQAj8dDaWkpxcXFWCwWf5dz2rxeL4WFhRw8eJDIyEis1rOfD0QBppxaSIwZYB5IM7cjWlQ9HtfF/Dy8BVwlYDvzWSEbO4thIT40nvjQeC5qfpFvv9fr5VDRoWqh5vbc7eSW5LLn2B72HNvDgj0LqlyveWjzilfRI1rTPro9bSLaqMemiIiIiJxQ+SzvMWcxy3tNXG5PWbDprhR+miFnQamLYqeHIqebEqebolI3RU531X1ON8XOiv3Fx20XOStCUoBSl4dSl4e88xyUAlgtRpWgM/D4QNRWNSytvN8RYAarlc93HNfO1xu1rJ3NWn8CC/l54uLiAHwhpgiUDS9SVITD4aiXoXZkZKTvd/tsKcCUUwuONT/Le2BGHNcDM7w5BEVCcQ4c2gzx3WuzugbNMAyaBjelaXDTapMHHSk+UvVV9LKAM7s4m335+9iXv4+F+xb6zrEYFlqGt6R9VPsqS3xIfL38A1BERERE6jab1UK41UJ40PmbqNLt8VLiqgg0i8vC0GLncfuqhKIV+4udniphabHTQ7GramBaeX/5MG5uj9f3qn1tsFmMGgNRX+9QW8X+qmGolcBKr9kHHXesyrpex68TDMMgPj6epk2b4nQ6/V2O1BFOp5MffviBSy655Ge9hu0Pdrv9Z/W8LKcAU04tpCzAdJpjFlR7hdwwIK6rOYlP5joFmLXAMAxiHbHEOmLpG9+3yrGjxUd9YeaO3B1sO7qNLUe3cLTkKBm5GWTkZvDNzm987UPtobSPak+7qHa+ULNdVDtC7CG1fVsiIiIiImfEaikfM/T8f5fX66XE5aHEF3JW7x1aLfh0eSoFqFXbFVVqU1JDb9OSSr1LXR4v+SXmq/y1IcBqqfTKvAVnsZXXd/+Ew26r3tv0uFfzKwelNb1+b/YsrWgXaLMoMK2B1Wo9J6GPNAxWqxWXy0VQUFC9CzDPFQWYcmrlAWa543tgAjTrUhZgrq/5GgfWwsKnwBpgTvSTfOE5L1NMUUFR9ArqRa9mvXz7yntsbsne4psBfcvRLWzPNcfYXHVwFasOrqpynRahLcxAM7qit2aL0BZYLfqHqIiIiIg0PoZR0QsygvMfIHg85qzyRaXuar1CqwSi5T1QK7WrKRAtD1NrDls9vkmcAErd5nbFuKUGmfvO0axONQi0WaoGotXGI606jmlgpdfxjx+ztKZAtbxnaaDdQqDNojfQROohBZhyasGnEWCWj4OZVUOAuXMRvH1FRQ/ODZ/AVe9A++Hntk45IV+PzeaxDGg+wLff6XayM29nlVBzy9EtHCw8yN78vezN38u3e771tXfYHLSNbEu7qHakRKXQMaYjKVEpmjRIREREROQcs1gMgixmEFcbKr+OXxF+uikoKuX7xT/SvWdvnB6jSmhaYyDqMsPUElcNvU3Lw1WXG6fb6/vuEpeHEpeH3KLzf5+GYQamlSd1Kg9Qj3/9vlqoardUCUOrTg5VOXzVhE8i55oCTDm1aj0wW1Rv06wswMxcB16v+U8FAI8bvvy9GV62Hgx2B6R/BR/dCL9Ng+Do81q6nJzdaqddVDvaRbXjMi7z7c8pzmFrztaKUDN7C9tytlHkKmLd4XWsO1wx47yBQVJ4Eh2iO9AhugMdozvSIboDMY4Yf9ySiIiIiIichRO9ju90Ojmw3svglCbn9NVVl9tzXK/QGtZdZWOaVnrN/vhAtNhVdXzTGq/n8uD2mIGp10vZMQ9w/seYtBhUDUsr9wo9wwmfqr+6f1zYqgmfpAFTgCmn1npQ1e3A0OptmnQAi82cyCdvX0XIufZ9c2KfoEi4YiYEhMBrg82g84d/wMjHzm/tclYigyLpE9eHPnF9fPvcHjd7ju1hy9EtpB9NJz07nU3ZmzhYeJBdebvYlberytiaTR1N6RDTwddTs0N0B1qEttDfPoqIiIiICDarhVCrhdDA2oklnO6axiP1VISkJ33N3uObCOq0XtmvNOGTx0utTvhktxplPURrntgpsNqr9yd57b5svfxajhraafxSqS0KMOXUIlrALYvhk1ug7ZCa29iDILY9HNxojoNZHmAuf938vPC34Ig014c+CG9NguWvwUW/g9Am5/0W5OezWqwkRySTHJHM8OSK1/+zi7PZfGQzm7I3sTl7M5uzN7MrbxcHiw5ycO9Bftj7g69tmD2MlOgUs6dmWajZKqIVdkvjHIRYRERERERqh91qwW61EBZ0/v/bw+s1xy8tLq2Y8On4V/OLnR5KagxPq4eoZzLhk9Ptxel2cay2JnyyWSp6iPpmu7eUhZ5WHMe9gh/ka1M9YA08wURPFeGrxi9tzBRgyumJ6wK3Ljp5m2ZdzAAzax2kjIScPbBvBWBA6jUV7dpeCgk9YP9qWPc+9L/9vJYu51d0UDQDmg+oMrZmobOQLUe3+ELNTUc2sS1nG8ecx1iRtYIVWSt8bQMsAbSPak+nmE50ju1M55jOtI5srVBTRERERETqJcMwCLSZvR1ra8KnElfVSZ0qh6UlVbart6spLC2p3Du1UtuS4yd8cnkodXnIKz7/gWn5+KVVJnSq1JO0Wg9R36v1VcPSwErHqox7elzIqvFL6xYFmHLuxHUxA8nymcg3zjI/W14IYc2qtu3xSzPAXP02XHBbxZiZ0iAE24NJbZpKatNU3z6nx8mOnB2+XpqbsjeRnp1OvjOf9UfWs/7Iethitg20BpISnUKn6IpQs1VEK2wW/ZElIiIiIiJSmcVi4Agwey7WBrfHW2V80fJepNUngTrRRE/HvZZ/gt6p5W1qGr80p5bGL60Slvp6hVoq9TY19zuOe7X++PFLq08SpfFLz5TSADl3fBP5rDU/ywPMTuOrt+0yGWb/GQ5uMGcuj+taOzWK39gtdlKiU0iJTmE85u+Ex+th37F9bMjewMYjG9l4eCMbj2zkmPMYaw+tZe2htZBunu+wOUiJSvEFmp1jOtMyvCVWS+38Q1pERERERETMCZ9CAm2E1PL4pdUmaSp7Pb98oqdiZ00TOpW1O64naXmbkuOD2OPGLy0sdVNYS+OX2ixGWQ/R6hM6XdQ2hla1UkXdpQBTzp3mPcGwQPYO2LMM9i4DDOg0rnpbR6T5Knn6V5A+WwFmI2UxLCSGJ5IYnsjI5JGAGWruObaHDYfNUHPDEfOz0FVI2qE00g6l+c4PtgXTIbpDlVAzKTwJi6G/uRIREREREWkIKsYvPf/f5Ru/tIYZ7av3EK0antbY49RV0eZU45e6PF6OldQ8fmlitINWtXD/dZkCTDl3HFHQvBfsXQ6f32nuS+oPYXE1t28/0gwwt3wNA/9Ya2VK3WYxLLQMb0nL8JaMbj0aMEPNnXk7zUCzLNjclL2JQlchqw6uYtXBVb7zQ+2hdIzpSNfYrnSL7UbXJl1pGtzUX7cjIiIiIiIi9USV8UsdtTN+aanbU22sUd9YpGXBZ2yInX1rd5/3euqyRhtg5uTkMHToUFwuFy6Xi9/+9rdMmzbN32XVf22GmAHmwQ3mdk2vj5drP8L83LcSjmVVHydTpIzFsNA6ojWtI1ozpvUYANweNzvzdrLhyAY2HN7AhiMb2Jy9mXxnPsszl7M8c7nv/KbBTX1hZtfYrnSO6UywPdhftyMiIiIiIiKCxWIQZDHHwTwZp9PJvrW1VFQd1WgDzLCwMH744QeCg4MpKCigS5cuTJo0iZiYGH+XVr+1GQLfP2GuB4RC5wknbhsWVzEb+dZvoOevaqVEaRisFittItvQJrIN49qYwxS4PC525O5g/eH1rD20lnWH17EtZxsHCw8yb/c85u2eB5iBaNvItnSNNQPNrk260iaijcbTFBEREREREamDGm2AabVaCQ42e2CVlJTg9Xrxlo/UKmeveW9I6AmuYpjwrxO/Pl6u/SgzwEyfXXOAmbEQ1n8IXg/0/w00aX9+6pYGwWax0T6qPe2j2jOp3SQACp2FbDiygfWH17Pu8DrWHlpLVmEWW45uYcvRLXy09SPAHE+zc2xnvXouIiIiIiIiUsfU2QDzhx9+4Mknn2TlypUcOHCATz75hAkTJlRp8+KLL/Lkk0+SmZlJ9+7d+ec//0nfvn1P+ztycnIYOHAgW7du5cknnyQ2NvYc30UjZLXBtG/NdcM4dfuUkbDgMdjxHTiLwV5pVNrVb8Nn083wEmDNu3Dlf81zRE5TsD2YPnF96BPXx7fvYOFB1h1ax9rDZi/NDYc3UOgqrPHV8+5NuvuWTjGdCLAG+OM2RERERERERBqtOhtgFhQU0L17d2644QYmTZpU7fh7773HjBkzePnll+nXrx/PPvssI0aMID09naZNzV5TqampuFzVZ2+aM2cOCQkJREZGsmbNGrKyspg0aRKTJ0+mWTONw/iznU5wWS6uG4QlwLH9kPEDtB9u7s/aCJ/9xgwvO42HknzYPh8+uQluXghRLc9P7dIoNA1uyqUtL+XSlpcC5niaO3J3+HpoVn71fO6uuczdNRcAu8VO55jOdG/SndSmqaQ2TSXWob/4EBERERERETmf6myAOWrUKEaNGnXC408//TTTpk3j+uuvB+Dll1/myy+/5I033uDuu+8GIC0t7bS+q1mzZnTv3p2FCxcyefLkGtuUlJRQUlLi287LywPMgVSdTudpfU99Un5PtXFvlvYjsa58A8/a93G3GgxeD9YvfofF68bTbiTuCa+Dx4n1P2Ox7F+J5+u7cF/x3/NelzQuyaHJJIcmMzZ5LGC+er4pexPrjpg9NdccWsPRkqOkHUoj7VAab258E4DmIc3p1qQb3WO70y22G20j22KznJs/WmvzORSRmuk5FPEvPYMi/qfnUMT/GvJzeLr3ZHjrwcCPhmFUeYW8tLSU4OBgPvzwwyqvlU+dOpWcnBxmzZp1ymtmZWURHBxMWFgYubm5XHjhhfzvf/+ja9euNbZ/4IEHePDBB6vtf+edd3xjacrZiSrYxiVbHsJlBPBN138Sn7OCnrtfw2UJ4NuOj1MUYPZwCy3ex5BNf8bAy/cpD5AT3NrPlUtj4vV6yfZks9u9mz2uPex27SbLk4WXqn+EBhBAC1sLkqxJJNmSSLQm4rA4/FS1iIiIiIiISN1VWFjI1VdfTW5uLuHh4SdsV2d7YJ7M4cOHcbvd1V73btasGZs3bz6ta+zatYubbrrJN3nPb37zmxOGlwD33HMPM2bM8G3n5eWRmJjI8OHDT/oDrq+cTidz585l2LBh2O328/tlXi/eV97BdmQbI0M3Ytn2MQDGoHsY3L/qxD7ez1ZjrHufiz0/4h49/fzWJXIK+c58c8bzw2tZc3gN6w6vI9+Zzw7XDna4dkBZp+1W4a3o3sTsoZnaJJWWYS0xTmOohVp9DkWkRnoORfxLz6CI/+k5FPG/hvwclr/hfCr1MsA8F/r27Xvar5gDBAYGEhgYWG2/3W5vcL88ldXa/fW+Ab75M9Ylz5nbTTthvfA3WK3HfffAP8G697FsnYMlbzfEtDn/tYmcQJQ9iouTLubipIsB8Hg9bM/ZTtqhNNYcXMOaQ2vYmbeTjLwMMvIy+HT7pwBEB0XTs2lPejYzl5SolJO+dt7Q/5wRqQ/0HIr4l55BEf/Tcyjifw3xOTzd+6mXAWZsbCxWq5WsrKwq+7OysoiLi/NTVfKz9LsFjmyDFW9A005wzQdwfHgJENsO2g2HrXNg2asw6onar1XkBCyGhXZR7WgX1Y4r2l8BQHZxNmsPrSXtYBqrD65m/eH1ZBdnM2/3PObtngdAsC2Y1KapvlCza2xXgmxB/rwVERERERERkTqjXgaYAQEB9OrVi/nz5/vGwPR4PMyfP5/p0/Vacb1kscJlT0OfGyG6DdhPEt70u8UMMFe/DYPvhaCG9wq/NBzRQdEMShzEoMRBAJS6S9lwZAMrs1ayKmsVaQfTOOY8xpL9S1iyfwkANouNLjFd6B7bHbfTzUWlFxFjj/HjXYiIiIiIiIj4T50NMPPz89m2bZtvOyMjg7S0NKKjo0lKSmLGjBlMnTqV3r1707dvX5599lkKCgp8s5JLPWQY0Kzzqdu1GQKxKXA4HVa/Bf1vq97mWCZ43BAWDxbLua9V5CwFWAPo0bQHPZr2gK7g9rjZlrPNDDQPrmJV1ioOFR3yzXYO8PaHb9M2qi09m/akV7Ne9Gzak2YhzU7+RSIiIiIiIiINRJ0NMFesWMHgwYN92+UT6EydOpWZM2cyZcoUDh06xH333UdmZiapqanMnj272sQ+0gAZBvS7Gb6cAUv/BX1+Dbay8UmzNsLXf4KdC83t2PYw+kloPchv5YqcjNViJSU6hZToFK7ueDVer5e9x/ay6uAqVmSuYFHGIg57DrP16Fa2Ht3Ke+nvAdA8tDm9m/WmT1wf+sT1ISE0wc93IiIiIiIiInJ+1NkAc9CgQXi93pO2mT59ul4Zb6y6XwXfPwE5u2HJ83DJH2H9RzBrOjgLAQMMCxzeAv+dBFfMhE7j/F21yCkZhkFieCKJ4YmMbjmar458Rb/B/Vh3dB2rslaxMmsl6UfT2Ze/j335+5i1fRagQFNEREREREQarjobYIqcVEAIDH8UPr4RFjwO276F3eb4gbQeBONeMMfG/PL3sO4D+PAGuHEeJKT6s2qRsxLjiGFY+DCGtRwGQH5pPmsOrWFF1gqWZy5nw+ENCjRFRERERESkwVKAKfVX18mwfT6s+V9FeHnR72DIX81JgQAmvgKlBZD+FXx0I9z8vRl+itRjoQGhXNj8Qi5sfiEAhc5CVh9czfLM5SzPUqApIiIiIiIiDYsCTKm/DAMmvgzdroRD6ebkPk1SqraxWGH8i/CvAXBkK3z7CIz8m3/qFTlPgu3BCjRFRERERESkwVKAKfVfmyHmciLB0eYr5W9fDj/9CzqOg5b9a68+kVp2fKBZ4Cwg7WDaKQPNC+IvoF98P/rG9SXGEePPWxARERERERHxUYApjUO7oZD6S0h7C2bdDrcsgoBgf1clUitC7CGnFWh+tPUjPtr6EQDto9rTL74fF8RfQK9mvQixa+gFERERERER8Q8FmNJ4jHjUHDMzezt8egtc/gZYbeAqhd0/wtEMCAyHtkPNCYBEGqiaAs2VWStZemApPx34iS1Ht/iW/278LzbDRpfYLvSL70e/+H50b9KdAGuAn+9CREREREREGgsFmNJ4OCLNMTPfmgwbZ0HWBRCZCHuWQ+mxinY2Bwz5C1xwG1gsfitXpLaE2EO4pMUlXNLiEgCOFB1heeZyfjrwE0sPLGVv/l7SDqWRdiiNV9a+gsPmoGfTnr5As0N0ByyGnhURERERERE5PxRgSuPSehBMeQs+nmZO6nNkq7k/pCk07wlHtpv75twLWRvMCYAUYkojE+OIYWSrkYxsNRKAffn7fL0zlx5YSnZxNov3L2bx/sUARARG0DeuL/3i+nFBwgUkhSVhGIY/b0FEREREREQaEAWY0vikjITfbYD0r8HjhKadID7VDCq9XljxBnz1R1jzDtiD4LKnzRnPRRqp5qHNmdRuEpPaTcLr9bI1ZytLDyxl6YGlrMhaQW5JLnN3zWXurrkAxIfEMyBhAP0T+nNB/AVEBEb4+Q5ERERERESkPlOAKY1TUDh0n1J9v2FAn19DUAR8dKMZZtqCYMRjCjFFAMMwaB/VnvZR7bm207U4PU42HN7g66G55tAaDhQc8E0IZGDQJbYLAxIGMCBhAF2bdMVusfv7NkRERERERKQeUYApUpOuk8FVbM5Y/tNLYFhg2ENgsfq7MpE6xW6xk9o0ldSmqdzc/WaKXEWsylrF4v2L+XH/j2zL2ca6w+tYd3gdr6x9hVB7KH3j+voCzcTwRH/fgoiIiIiIiNRxCjBFTqTHL80Q88vfw48vwL6V0O9miGkH1gCwBUB4C3MmcxEBwGFzVJnhPKsgix8P/MiSfUv48cCP5JTk8O2eb/l2z7cAtAhtwYXNL6R/Qn/6xvUlLCDMn+WLiIiIiIhIHaTkReRk+twIgRHw+R2w+0dzqczmgPbDYcBvoUUv/9QoUoc1C2nGhLYTmNB2Ah6vh03Zm1iybwlL9i8h7WAae/P38l76e7yX/h5Ww0r3Jt3pn9CfAQkD6BzTGat6PYuIiIiIiDR6CjBFTqXbFZDYF5a9Chk/QN5+8LjAWQSuItg4CzZ+Zo6dOfxRc+IfEanGYljoHNOZzjGdmdZtGgXOAlZkrvC9br4zbyerDq5i1cFVvJj2IuEB4VwQfwEXNb+Ii5pfRJPgJv6+BREREREREfEDBZgipyOqJYx4tOo+jwey1sGPL8Had2H567BnGVz5JkS39k+dIvVIiD2EgYkDGZg4EIB9+fv4cf+PLNm/hJ8O/EReaR5zds1hzq45AHSI7sDFzS/mouYX0a1JN2wW/SNMRERERESkMdB//YmcLYsF4rvDpFeg25Xw8TTIXAuvDIIJL0LHsf6uUKReaR7anMntJzO5/WRcHhcbjmxg8b7FLNq3iPWH17M5ezObszfz2rrXCAsIY0DCAF/vzFhHrL/LFxERERERkfNEAabIudD2Urh5IXx4PexZCu/9EjqMgb7TIKk/2AL9XaFIvWKz2OjepDvdm3TnttTbyC7OZvG+xSzct5Al+5eQW5LLNzu/4Zud3wDQMbojF7e4mIubX0zX2K4aO1NERERERKQBUYApcq5ENIfrvoT5D8KPL8LmL8zFYodmnSChB7S8CFJGQWCov6sVqVeig6IZ22YsY9uMxe1xs+7wOhbtW8TCfQvZeGQjm7I3sSl7E6+ufZWIwAgGxA/gohYXcWHChcQ4YvxdvoiIiIiIiPwMCjBFziWrHYY/Aqm/hJ9egs1fQuFhOLDGXFbONGc1v/h30O8WsDv8XbFIvWO1WEltmkpq01Sm95jO4aLDLNm/hIV7K3pnfr3za77e+TUAnWM6c1Hzi7i4xcV0iemi3pkiIiIiIiL1jAJMkfOhaQcY9zyMfQ5y98D+1bBvpTlb+dEMmPcALH3VnBio80QwDH9XLFJvxTpiGddmHOPajMPlcbHu8DoW7l3Ion2L2JS9iQ1HNrDhyAZeWfsK0UHRXNT8IgYlDqJ/fH9CA9QbWkREREREpK5TgClyPhkGRCaZS6fxcOn9sO4D+PYRM9j88HpY/V8Y+Tg0SfF3tSL1ns1io0fTHvRo2oM7et7BocJDLN6/mIV7F/Lj/h/JLs7ms+2f8dn2z7BZbPRp1secCb3FQFqEtfB3+SIiIiIiIlIDBZgitclihe5XQacJsPhZWPgUbP8WXuwHbYdC18mQMhqCwv1dqUiD0CS4CRPaTmBC2wk4PU5WZ63m+73f8/3e79mVt4sfD/zIjwd+5PFlj9Mmoo0vzOzepLteNRcREREREakjFGCK+IM9CAbdDV0mw7z7zcl+ts01F4vNnLm8/QjodhWENvF3tSINgt1ip298X/rG9+WPff7IztydvjBzVdYqtuduZ3vudt5Y/waRgZFc1PwiBiYO5MKECwkLCPN3+SIiIiIiIo2WAkwRf4ptC1e9DYe3wfoPYf1HcHgL7FxoLvMfMl89H3AHxHfzd7UiDUpyRDLJEclM7TyV3JJcluxfwoI9C1i0bxE5JTl8seMLvtjxBTbDRq9mvXy9M5PCk/xduoiIiIiISKOiAFOkLohta/bIHHQ3ZO+ArfNg7bvmxD/rPjCXlMtg0F0Q393f1Yo0OBGBEYxqNYpRrUbh8rhIO5jm652ZkZvB0sylLM1cyt+X/51WEa0Y2GIggxMH61VzERERERGRWqAAU6SuiW4N/W4yl32r4McXYP3HkP6lubQfBRfPgBZ9NHu5yHlgs9joHdeb3nG9+X3v37M7b7cZZu75npVZK8nIzSAjN4OZG2YSHRTtCzP7J/QnyBbk7/JFREREREQaHAWYInVZ854w+Q0YeBf88A/zNfMtX5tLZEvoMgm6XA7NuijMFDlPksKTuLbTtVzb6VqOlR5j8f7FfL/ne37Y+wPZxdl8su0TPtn2CQ6bgwEJAxicOJiBLQYSGRTp79JFREREREQaBAWYIvVBkxS4/DUY+CdY9Axs+ARydpnri54xA8zUq81Jf0Ji/F2tSIMVFhDGyOSRjEweidPjZFXWKr7b8x3f7v6WAwUHmL97PvN3z8dqWOnZrCeDEwczOHEwLcJa+Lt0ERERERGReksBpkh9EtsOJrwEo5+ELd/Aho9hyxzIWg/f/BnmPQhdJ0PfmyAh1d/VijRodoudfvH96Bffj7v63MXm7M2+MDP9aDrLM5ezPHM5f1/+d1KiUhicNJghiUPoEN0BQz2mRURERERETpsCTJH6KCCk7PXxSVB01Bwjc9V/4EAapL1tLon9zCCz03iw2v1dsUiDZhgGHWM60jGmI7el3sbeY3tZsGcB3+75lpVZK0k/mk760XReXvMy8SHxDE4czJCkIfRs1hO7Rc+niIiIiIjIySjAFKnvHFHQ59fQ+wbYuxyWvgIbP4U9S83lm3vNY6lXQ2Siv6sVaRRahLXgl51+yS87/ZKc4hx+2PcD3+7+liX7l3Cg4ADvbH6Hdza/Q3hAOJe0uIRLky7lwuYX4rA5/F26iIiIiIhInaMAU6ShMAxI7Gsuxx6FFf+GFW9AfiYseMxcWl4E3aeYvTKDIvxdsUijEBkUybg24xjXZhzFrmJ+OvAT3+7+lu/3fk92cTZf7PiCL3Z8QZA1iIuaX8TQlkMZ2GIgoQGh/i5dRERERESkTlCAKdIQhcXB4Hvg4t/DxlmwcibsWlSxfH0XdJ4Iva6DFn00g7lILQmyBTEocRCDEgfh9rhZc2iNb+Kfffn7mLd7HvN2z8NusdM/oT9Dk4YyOHGwZjQXEREREZFGTQGmSENmC4BuV5hLzh5Y9wGseRcOp1eMldmkI/SaCt2mQHC0vysWaTSsFnOm8p7NevKH3n9gc/Zm5u6ay7zd88jIzeCHvT/ww94fsBpWesf1ZljSMIYkDaFJcBN/ly4iIiIiIlKrFGCKNBaRiXDxDLjod7Bnmdkrc8MncGgTzL4b5t5vvlreayq0vFC9MkVqUeVJgO7oeQfbc7Yzd9dc5u+ez+bszSw9sJSlB5by6NJHSW2aytCkoQxtOZSE0AR/ly4iIiIiInLeKcAUaWwMA5L6mcvIv5m9Mle+CVnrYN375hLdxpz0p/svIKK5vysWaXTaRLahTWQbbul+C3vy9pivlu+ax9rDa1l9cDWrD67myRVP0jmmM0NbDmVo0lCSI5L9XbaIiIiIiMh5oQBTpDFzRELfadDnRti/ygwy138E2dvh24fhu0eh9WDocQ2kXAb2IH9XLNLoJIYncn2X67m+y/VkFmQyf/d85u2ax6qDq9hwZAMbjmzguVXP0TayLcNaDmNoy6G0i2yHoV7UIiIiIiLSQCjAFBGzV2bzXuYy4jFz4p+0t2HXYtg+31yCIqHrFWaYGZ+qV8xF/CAuJI5rOl7DNR2v4UjREb7d8y3zd81n6YGlbMvZxracbfxrzb9oFdGKEckjGNFyBG2j2vq7bBERERERkZ9FAaaIVBUYaoaUPa6B7B2Q9g6k/Q/y9sLy18ylaWfzFfOuV0BYM39XLNIoxThiuKL9FVzR/gpyS3L5fu/3zN01lyX7lpCRm8HLa17m5TUv0yaijRlmJo+gdWRrf5ctIiIiIiJyxhRgisiJRbeGIX+BQfdAxvew+i3Y9AUc3ABz7oW5f4U2Q6DbVdDhMggI9nfFIo1SRGAE49qMY1ybceSX5rNg7wK+2fkNi/ctZnvudl5a8xIvrXmJtpFtGZE8guHJw2kdoTBTRERERETqh0YdYCYnJxMeHo7FYiEqKorvvvvO3yWJ1E0WqxlUthkCRUfNcTLXvAd7l8G2eeYSEGrOYt79Kmh5EVgs/q5apFEKDQhlTOsxjGk9hmOlx1iwpyzM3L/YfM08bRsvpr1I+6j2ZpjZcrgmABIRERERkTqtUQeYAEuWLCE0NNTfZYjUH44oc9KfPjfCke2w9j1Y8y7k7DLHzUx7G8JbQLcrzJ6ZTTv4u2KRRissIIyxbcYyts1Y8krz+G73d3yz8xt+3P8jW45uYcvRLfxz9T9JiUrxvWaeFJ7k77JFRERERESqaPQBpoj8DDFtYPCfzVfMd/8Ea/4HGz41x8tc9Iy5xKdC919Al8shtIm/KxZptMIDwhnfdjzj244ntySXb3d/yze7vmHp/qWkH00n/Wg6z69+no7RHRmePJwRLUeQGJ7o77JFRERERESos+94/vDDD4wdO5aEhAQMw+DTTz+t1ubFF18kOTmZoKAg+vXrx7Jly87oOwzDYODAgfTp04e33377HFUu0ggZBrTsD+Oehz9sgSvehPajwGKDA2kw+y54KgXevgLWfgClBf6uWKRRiwiMYGK7ibw89GW+u/I7HhzwIAMSBmA1rGzK3sRzq55j9CejmfLFFGaun0lmQaa/SxYRERERkUaszvbALCgooHv37txwww1MmjSp2vH33nuPGTNm8PLLL9OvXz+effZZRowYQXp6Ok2bNgUgNTUVl8tV7dw5c+aQkJDAokWLaN68OQcOHGDo0KF07dqVbt26nfd7E2nQ7EHQeYK5FBwuGy/zXdi/CrbOMRd7CHQcA12vhNaDwFpn/ygSafAigyKZ1G4Sk9pN4mjxUebvns83O79hWeYyNh7ZyMYjG3lq5VP0bNqT0a1GMzx5OFFBUf4uW0REREREGpE6mxqMGjWKUaNGnfD4008/zbRp07j++usBePnll/nyyy954403uPvuuwFIS0s76Xc0b94cgPj4eEaPHs2qVatOGGCWlJRQUlLi287LywPA6XTidDpP+77qi/J7aoj3JrUoIAJ63mAuR7ZiWf8hlvUfYeTsNMfOXPse3pAmeDpNxNt5Mt6EHmZvTgH0HErtC7WGMr7VeMa3Gs/R4qPM2zOP2Ttns/rQalYdXMWqg6v427K/0S+uHyOTRzK4xWBC7CH+Lvu80nMo4l96BkX8T8+hiP815OfwdO/J8Hq93vNcy89mGAaffPIJEyZMAKC0tJTg4GA+/PBD3z6AqVOnkpOTw6xZs055zYKCAjweD2FhYeTn5zNw4EBefvll+vTpU2P7Bx54gAcffLDa/nfeeYfg4OCzui+RRsnrJapwGy2yf6R5zlICXcd8h/IDm7E3agB7owdQENjMj0WKSGU5nhzWl65nrXMt+937fftt2Eixp9DN3o329vbYDbsfqxQRERERkfqmsLCQq6++mtzcXMLDw0/Yrs72wDyZw4cP43a7adasasDRrFkzNm/efFrXyMrKYuLEiQC43W6mTZt2wvAS4J577mHGjBm+7by8PBITExk+fPhJf8D1ldPpZO7cuQwbNgy7Xf9BKufDb8HtxJWxAMv6DzDSvya0JIsOmZ/QIfMTPAm98HaZjKfTBAhpnJP/6DmUumhn3k6+2fUN3+z6hp15O9ng3MAG5wZC7aEMbjGYES1H0DeuLzZLvfxXjGr0HIr4l55BEf/Tcyjifw35OSx/w/lUGsZ/XZyF1q1bs2bNmtNuHxgYSGBgYLX9dru9wf3yVNbQ70/8zG6HjqPNpeQYbP4S1r4PO77Dsn8l7F+Jde5foM0Q6HYldLgMAhr266o10XModUm7mHa0i2nH7T1uZ3P2Zr7O+Jqvd35NZkEmn2d8zucZnxMdFM2wlsMY3Wo0qU1TsRh1ds7A06bnUMS/9AyK+J+eQxH/a4jP4eneT70MMGNjY7FarWRlZVXZn5WVRVxcnJ+qEpGfJTAMul9lLseyYMPHZpi5fxVsm2su9hAzxOxWPvlPw/qDW6Q+MQyDjjEd6RjTkTt73cnqg6v5OuNr5uycQ3ZxNu+lv8d76e8RFxLHqORRjGo1ig7RHTA0zq2IiIiIiJyhetklIiAggF69ejF//nzfPo/Hw/z58+nfv78fKxORcyKsGVxwK9z0HUxfCQPvgqhW4CyAde/D25PhqRT44newczF4PP6uWKRRsxgWejXrxV8u+Avzr5zPv4b+i3FtxhFiDyGzIJN/b/g3V35xJRNnTeT1da+zP3//qS8qIiIiIiJSps72wMzPz2fbtm2+7YyMDNLS0oiOjiYpKYkZM2YwdepUevfuTd++fXn22WcpKCjwzUouIg1EbFsY/GcYdA/sW2nOXr7+Yyg8DCveMJfw5tB5InSdDPGpmslcxI/sFjsXNb+Ii5pfxF9df2XhvoV8nfE13+/5nu2523lu1XM8t+o5ejfrzZjWYxiWPIzwgIY3lrSIiIiIiJw7dTbAXLFiBYMHD/Ztl0+gM3XqVGbOnMmUKVM4dOgQ9913H5mZmaSmpjJ79uxqE/uISANhGNCit7mM+BtkfA/rP4JNn0PePvjxBXOJbgNdLjfDzCYp/q5apFELsgUxrOUwhrUcxrHSY8zbNY8vdnzB8szlrMhawYqsFTy69FEGJQ7istaXcXHziwmwBvi7bBERERERqWPqbIA5aNAgvF7vSdtMnz6d6dOn11JFIlJnWG3Q9lJzuexp2DYP1n8I6bMhezv88HdzadYVul5uBpqRSf6uWqRRCwsIY2K7iUxsN5HMgky+3PElX+z4gm0525i7ay5zd80lPCCckckjGdNmDKlNUjVepoiIiIiIAHU4wBQROS32IOg4xlxKjkH617DuQ9g+H7LWmcu8ByCxH3SZDJ0nQGhTf1ct0qjFhcTx666/5oYuN7Dl6Ba+2PEFX+34ioNFB3l/y/u8v+V9moc257LWlzGm9RhaRbTyd8kiIiIiIuJHCjBFpOEIDDNnKO92JRRmw8ZZ5mvmOxfBnqXmMvsuaHWJGWZ2HAuOSH9XLdJoGYZBSnQKKdEp3NnzTpZlLuOLHV8wb9c89uXv49W1r/Lq2lfpEtOFMW3GMDJ5JDGOGH+XLSIiIiIitUwBpog0TMHR0Pt6c8k7ABs+MV8z37cSdiwwly9nQNth0GUSpIyCgBB/Vy3SaFktVvon9Kd/Qn/+csFfWLBnAZ9v/5wl+5ew/sh61h9Zz5PLn2RAwgDGtB7D4KTBOGwOf5ctIiIiIiK1QAGmiDR84fHQ/zZzyd5h9spc9xEc2gTpX5qLzQHtR5ivmLcbrjBTxI8cNgejWo1iVKtRHCk6wuyds/lyx5esO7yOhfsWsnDfQkLsIYxIHsG4NuPo2bSnxssUEREREWnAFGCKSOMS3Rou+aO5ZG00e2Wu/wiO7oSNn5qLPdgMMTtPLAszg/1ctEjjFeOI4ZqO13BNx2vYmbuTL3Z8wRc7vmBf/j4+3voxH2/9mBahLRjXdhzj2oyjeWhzf5csIiIiIiLnmAJMEWm8mnWCZvfBkL/CgTTY8Kn5qnnOrqphZvsR0GmCwkwRP0uOSGZ6j+nclnobq7JWMWv7LObsnMPe/L28lPYSL6W9RO9mvRnfdjzDWw4n2K7nVURERESkIVCAKSJiGJDQw1yGPgD7V5vh5YZPzTBzwyfmUh5mdp5ojp2pMFPELyyGhd5xvekd15t7+t7D/N3zmbV9FssOLGNF1gpWZK3gsaWPMazlMMa1GUefuD5YDIu/yxYRERERkbOkAFNEpDLDgOY9zWXog5XCzE8gZ3elMDOkYsxMhZkifhNsD2Zsm7GMbTOWA/kH+GLHF8zaPotdebv4bPtnfLb9M+JD4hnbZizj2oyjZXhLf5csIiIiIiJnSAGmiMiJVAszV5W9Zv4p5O6GDR+biz0E2g2FDmOh/XAIivB35SKNUnxoPNO6TePGrjey5tAaPtv+GbMzZnOg4ACvrn2VV9e+SmqTVMa3Hc+I5BGEBYT5u2QRERERETkNCjBFRE6HYUDzXuYy7KGyMPMT2DDLDDM3zjIXix1aXQwdxkCHyyAszt+VizQ6hmGQ2jSV1Kap/KnPn1iwZwGzts9iyf4lpB1KI+1QGo8ve5whiUMY13Yc/eP7Y7VY/V22iIiIiIicgAJMEZEzVSXMfNh8zXzzF7DpCzicDtu/NZcvfw8t+kDHMWagGdPG35WLNDpBtiBGthrJyFYjOVh4kC93fMmsbbPYnrudr3d+zdc7v6ZpcFPGtxnPxLYTSQxP9HfJIiIiIiJyHAWYIiI/R+XXzC+9Dw5vhU2fm4HmvpWwd5m5zL0PmnYye2V2GAPx3c1zRaTWNA1uyvVdrue6ztex8chGZm2fxVcZX3Gw8CCvrXuN19a9Rp+4PkxsO5GhLYfisDn8XbKIiIiIiKAAU0Tk3IptBxfPMJe8/bD5SzPM3LkIDm40lx+ehPAW0G6YORFQq4GaBEikFhmGQefYznSO7cwfev+B7/Z8xydbP2HJ/iUsz1zO8szlPLb0MUa3Gs3YVmPxer3+LllEREREpFFTgCkicr6EJ0DfaeZSdBS2fGP2ztw2H/L2wsp/m4s10Bw3s90IcxKgqGR/Vy7SaARYAxiRPIIRySM4kH+AWdtn8em2T9mXv4/3t7zP+1vep5mlGTmbcxjfbjxRQVH+LllEREREpNFRgCkiUhscUdD9KnNxFkHGQtj6DWyZY04CtG2euXz9R4hNgfYjMFpfiuF1+btykUYjPjSeW7rfwk3dbmJ55nI+3vox83bNI8uTxVOrnuK5tOcYnDiYSe0maeIfEREREZFapABTRKS22R1mT8v2w2G0Fw5thi2zzTBzz1JzIqDD6diWPM8oiwNrwfvQ9lJoMxhi2mrsTJHzzGJY6Bffj37x/ThScISnvnyKrUFb2Xx0M3N3zWXurrk0C27G+LbjmdB2AolhmvhHREREROR8UoApIuJPhgFNO5rLRb8zXzXfNh+2zsG7dS72omzYOttcwBw7s/WgiiW0iR+LF2n4wgPC6RfYjwdHPcj2Y9v5ZOsnfLHjC7IKs3h17au8uvZV+sX1Y0K7CQxNGkqQLcjfJYuIiIiINDgKMEVE6hJHFHSdDF0n4yopZsnH/+KiBDfWnd/D7p/MsTPT3jIXgGZdofVAaDkAkvpDcLR/6xdpwDpEd+Cefvcwo/cMvtv9HR9v/ZifDvzE0sylLM1cymP2xxjdejRXtL+ClOgUf5crIiIiItJgKMAUEamrLFZyglvjGTAa68A/QGkh7P4RdnwH2xdA1rqK5ccXzHOadDTDzPIlPMGvtyDSEAVaAxnZaiQjW41kf/5+Zm0zJ/7ZX7Cf99Lf47309+ga25XL213OqFajCLYH+7tkEREREZF6TQGmiEh9ERBsjoXZ9lJzO/8QZHwPOxfBriXm2JmHNpnLiv8z20QlQ+IF0KI3NO8FzbqALcBvtyDS0CSEJnBr6q3c3P1mlh5YykdbP2L+7vmsO7yOdYfX8fflf+ey1pcxuf1kOsV08ne5IiIiIiL1kgJMEZH6KrSJ73VzAAoOmz00dy2BXYshcx0c3Wkua98121gDIb4bNO9dFmr2hKhWmhhI5GeyGBb6J/Snf0J/jhQd4bPtn/Hhlg/ZfWw3H2z5gA+2fEDH6I5Mbj+Z0a1GExoQ6u+SRURERETqDQWYIiINRUgsdBxrLgDFebBnGexdDvtWwL6V5iRBe5eby9Ky84IizLE047qYPTTjupivots1GYnI2YhxxHB9l+u5rvN1rMhawQdbPmDernlsyt7Ewz89zD9W/IPRrUYzuf1kOsd0xtBfIIiIiIiInJQCTBGRhiooHNoNNRcArxeyd5hB5t4VZqiZuQ6Kc2HXInMpZ1ghtp0ZaDbtCLHtzSW6FdgC/XM/IvWMYRj0ietDn7g+HC0+6uuVuTNvJx9t/YiPtn5ESlQKk9tP5rLWlxEWEObvkkVERERE6iQFmCIijYVhQEwbc+l2pbnPVQKH0iFrPWSuNycEylwPRdlwaLO5VLmGxRxXM7a9GXDGtDNDzciWEN4crPrHikhNooKimNp5Kr/q9CtWZq3ko60fMWfnHNKPpvPo0kd5euXTjEgeweT2k+kW2029MkVEREREKtF/aYqINGa2sjEx47tV7PN6IW+/GWpmrYdDW+DIVvOz9JjZizN7B2yZXfVaFpsZYka1NAPNqJYQmWzOhB4WB2Hx5kREIo2YYRj0jutN77je3N33bj7f/jkfbvmQ7bnb+XTbp3y67VPaRrZlcvvJjGk9hojACH+XLCIiIiLidwowRUSkKsOAiObm0n5ExX6vF/Kz4PCWsmWruRzdCbl7wF0KObvM5USCIswg07eUBZshsRAcU2mJ1qvq0uBFBEbwy06/5JqO15B2KI0Pt3zINzu/YVvONh5f9jjPrHyGkckjuarDVXSJ7eLvckVERERE/EYBpoiInB7DKAsc46DVJVWPeTxw7IAZXh7dVelzNxzbD3kHwFVkjrdZnFv91fSaBISZQWblYDMowhzbMzAMAsPL1iPM7aDwin32ELBYzs/PQeQcMwyDHk170KNpD/7U5098ueNLPtjyAdtytjFr+yxmbZ9Fp5hOTEmZwsjkkQTb1ZNZRERERBoXBZgiIvLzWSwVvTZbDqh+3OuFkjwzyDx2AI5lln2WLYXZUHikbMkGr9t8Xb302Ml7dJ6QAQGhYHeYr63byxeH+Rlw3HbldVsgWAPAFgDWwErblT8DKx2v1M5i/dk/SmncIgIjuLrj1fyiwy9IO5TGe+nvMWfnHDYe2cj9S+7nH8v/wbi247iy/ZW0jmzt73JFRERERGqFAkwRETn/DKOs92QENO1w8rYeD5TkHhdqli3FuVByDIrzzEC05FjZvryK/R4n4K0IQAtq5Q5NhqUi1LTYwWo3Py3WE6zbzImPqqzbKp1rrbReduxE64albN1qziLvW7eUXcdWtt9aqU3l/Zbj2thOcO4J9hsW8/9nOSeO75U5a9ss3k9/n735e3l709u8velt+sT14cqUK7k08VLsVru/SxYREREROW8UYIqISN1isYAjylxi2pzZuV4vuIrNILM0H5xFZUuB+VlacOp9rlJwl1T6LDHH93SX1nwMb6Xv95ivyruKzumPpN44VShaLUCtHLJWCkYNS8X5vvVK+w2j4honO8d3rPI5NVzvJOdYvNDy8AaMtKNgDzjzGqrUbSk7diZ1W4i2WLi+7SSmtr2cH7NW8N62j/l+30KWZy5neeZyYoJimNRuEle0v4L40Hh//xaIiIiIiJxzCjBFRKThMIyyV8EdQLPz/31eL3hcFSGnq6Qi4PS4zN6gblfFusdVtl2+XvbpW3eCx11p/fj2NZzrdpqv3HvcZoDqcZWtu8vWPZXW3RVtq7QpP7dsu1qbSvtP+vNwg9tt/iwaCCuQCrDHv3UAWIALy5ZMq5UPw0L5KCyUw8VHeG3da/zf2le5pLiUKwtKubDUjcUwykJRC1Bpvcpyov21dfx8X8M4R9c5w2v4ft7GcT//ytvl65xB2/L1021rqWgvIiIiUo8pwBQRETlbhmG+xt2YXt/1eI4LOV0nCD9PtL+GUNR3zbKwtfw8r+e4dXfV/b5j7uPWvefsHI/bRVbmAZo1jcWC9wS1/dyavce1K1uv3Lv3OHFuN9Nzcrk5J5dvgx28Hx7GMkcQCxyBLHAE0tzp4opjx5h47BjRHk/t/X5IHXaSULVa2OnvthXBrhXof/gI1v/NLOuZXNsh8JkGxlQ9Vu0ejZq/A86w/fHHzqR95etzhu1P8Z11/n4rfb+IiNQrCjBFRETk9FksYAnwdxW1xu10suyrrxg9ejQWey0H1V7vKYNSu8fNCK+HEV43O/J28cHOr5i1Zz77KODZ6ChejG3CsGYXMCVpGD0i2mFQ6ZqVr3/C5Ty24fh9p7rOuajldI+frN1p1sFx16px23v6bX/+L1TZ79A5uFQtsgBNAY75uRBpeGotsOUM2/srXOaE7a1eLz33H8A667OK4U9qrFXh+1nd71n9Hp3JfXMadZ2Pmit9v8g5oABTREREpC4yDDCsgPW0evm2jmjBXYkXcofrL8zOmM176e+x4cgGvjqwiK8OLKJDdAd+0eEXjGo1CofNcf7rl3OrPOw8PuA8afh5ouMnCko5zdD1uAD2hG2Pr5FTtz3u2i63kzVpaXTv1g2bxTjN+z2Nms7lz+aU4fRx+6nh+337OMP2lc87wbGTXoszbF++zmm0r+kYJ7+PE13rfPD9/3p+Lt+QWIBEgKN+LkTqsbMJm6nF0PVE7U+nZs6grjMMwysdMxJ6A03O2/9D9YECTBEREZEGxGFzMLHdRCa2m8iGwxt4f8v7fLXjKzZnb+b+Jffz1IqnmNRuElNSptAirIW/y5XT5fsPLIu/K6lVXqeTvbtD6NZtNNR2L2ipO44PhM82GD6b8PRnfTenef1z/d2cYfuTB+Jut4uNGzfSqWMHrIZxkmtxFrUe9/9Rvfg51fbv05n8XCsfO/6806z1vKj8XXI2LB4P2C7zdxl+pQBTREREpIHqHNuZB2MfZEavGXyy9RPeTX+Xffn7mLlhJm9ueJOBLQbyiw6/4IKEC7AYjSsYE5F6RK+i+pXH6WTH4a/o0G80Vv1FQuPgPYPA81TB8BkHvZzld3MG7Ws6xlnUerah9JkH4p7odrDVdW7/f65nFGCKiIiINHARgRFc1+U6ru10LYv2LeKdze+wZP8SFuxdwIK9C0gOT+aqDlcxvs14QgNC/V2uiIiI+JNvGBupK7xOJ2z9yt9l+JX+ql1ERESkkbBarAxMHMgrw17hswmfcU3Hawixh7AzbyePL3ucSz+4lEd+eoQdOTv8XaqIiIiIiI8CTBEREZFGqFVEK+7uezfzr5jPvf3upXVEawpdhbyX/h7jZ43nxjk3Mn/3fNwet79LFREREZFGTq+Qi4iIiDRiIfYQrupwFVNSprA0cyn/2/Q/FuxdwNIDS1l6YCnxIfFMSZnCpHaTiAqK8ne5IiIiItIINdoemOnp6aSmpvoWh8PBp59+6u+yRERERPzCMAwuiL+A54Y8x9eTvubXXX5NZGAkBwoO8OyqZxn6wVD+sugvbDyy0d+lioiIiEgj02h7YKakpJCWlgZAfn4+ycnJDBs2zL9FiYiIiNQBCaEJ3NnrTm7pfguzd87mnU3vsCl7E7O2z2LW9ln0aNqDX3b8JUOShmCzNNp/nRQRERGRWqJ/4wQ+++wzLr30UkJCQvxdioiIiEidEWQLYkLbCYxvM541h9bwv83/Y86uOaw+uJrVB1cTHxLPLzr8gkntJhERGOHvckVERESkgTonr5Dn5eXx6aefsmnTpnNxOQB++OEHxo4dS0JCAoZh1Ph694svvkhycjJBQUH069ePZcuWndV3vf/++0yZMuVnViwiIiLSMBmGQWrTVJ645Am+ufwbbup2E1GBURwoOMDTK59m2IfDeOSnR8jIzfB3qSIiIiLSAJ1VgHnllVfywgsvAFBUVETv3r258sor6datGx999NE5KaygoIDu3bvz4osv1nj8vffeY8aMGdx///2sWrWK7t27M2LECA4ePOhrk5qaSpcuXaot+/fv97XJy8tjyZIljB49+pzULSIiItKQNQ1uym96/Ia5V8zloQEP0T6qPUWuIt5Lf49xn47j1nm3smTfErxer79LFREREZEG4qxeIf/hhx+49957Afjkk0/wer3k5OTw5ptv8sgjj3D55Zf/7MJGjRrFqFGjTnj86aefZtq0aVx//fUAvPzyy3z55Ze88cYb3H333QC+MS5PZtasWQwfPpygoKCTtispKaGkpMS3nZeXB4DT6cTpdJ7ye+qb8ntqiPcmUl/oORTxPz2HJ2bBwpjkMVzW8jJWHFzBO5vf4Yd9P7Bo3yIW7VtEq/BW/CLlF1zW6jIcNoe/y5V6Ss+giP/pORTxv4b8HJ7uPRnes/jrcYfDwZYtW0hMTORXv/oVCQkJPP744+zevZtOnTqRn59/xgWftEjD4JNPPmHChAkAlJaWEhwczIcffujbBzB16lRycnKYNWvWaV977Nix3HTTTYwdO/ak7R544AEefPDBavvfeecdgoODT/v7RERERBqqI+4j/FTyE6tKV1GC+Re/DsNB74De9AvsR6Ql0r8FioiIiEidUlhYyNVXX01ubi7h4eEnbHdWPTATExP58ccfiY6OZvbs2bz77rsAHD169JQ9Gc+Fw4cP43a7adasWZX9zZo1Y/Pmzad9ndzcXJYtW3Zar73fc889zJgxw7edl5dHYmIiw4cPP+kPuL5yOp3MnTuXYcOGYbfb/V2OSKOk51DE//QcnrlruZZ8Zz6fbf+Md7e8y978vSwsWciS0iUMSRzC1SlX0y22G4Zh+LtUqQf0DIr4n55DEf9ryM9h+RvOp3JWAeadd97JNddcQ2hoKC1btmTQoEGA+Wp5165dz+aSfhEREUFWVtZptQ0MDCQwMLDafrvd3uB+eSpr6PcnUh/oORTxPz2HZybKHsXUrlP5Zedf8v3e73lr01ssz1zO3N1zmbt7Ll1ju3JNx2sY3nI4dqt+rnJqegZF/E/PoYj/NcTn8HTv56wCzNtuu42+ffuyZ88ehg0bhsVizgXUunVrHnnkkbO55BmJjY3FarVWCx+zsrKIi4s7798vIiIiIqdmtVgZkjSEIUlDSM9O561Nb/Hlji9Zd3gddy+8m6dXPM0vOv6CK9pfQURghL/LFREREZE66qxmIQfo3bs3EydOJDQ0FLfbTVpaGgMGDODCCy88l/XVKCAggF69ejF//nzfPo/Hw/z58+nfv/95/34REREROTMp0Sk8fOHDzJ08l9tTbyfWEcvBooM8t+o5hn04jMeWPsaevD3+LlNERERE6qCzCjDvvPNO/u///g8At9vNwIED6dmzJ4mJiSxYsOCcFJafn09aWppvJvGMjAzS0tLYvXs3ADNmzOC1117jzTffZNOmTdx6660UFBT4ZiUXERERkbonxhHDLd1vYc7lc3j0okdpH9WeIlcR/9v8Py775DJ+993vSDuY5u8yRURERKQOOatXyD/88EN++ctfAvD555+TkZHB5s2b+e9//8u9997L4sWLf3ZhK1asYPDgwb7t8gl0pk6dysyZM5kyZQqHDh3ivvvuIzMzk9TUVGbPnl1tYh8RERERqXvsVjvj2oxjbOux/HTgJ97c+CaL9y1m3u55zNs9j25NujG101QuTboUq8Xq73JFRERExI/OKsA8fPiwb6zJr776iiuuuIL27dtzww038Nxzz52TwgYNGoTX6z1pm+nTpzN9+vRz8n0iIiIiUvsMw6B/Qn/6J/Rn29Ft/Gfjf/hixxesPbSW33//e5qHNufaTtcyse1Egu3B/i5XRERERPzgrF4hb9asGRs3bsTtdjN79myGDRsGQGFhIVar/oZcRERERM5c26i2PHThQ8yZPIebut1EZGAk+/L38fiyxxn64VCeWfkMWQVZp76QiIiIiDQoZxVgXn/99Vx55ZV06dIFwzAYOnQoAEuXLqVDhw7ntEARERERaVxiHbH8psdvmDN5Dn/p9xdahrfkWOkx3lj/BiM/HsmfF/6Z9Ox0f5cpIiIiIrXkrF4hf+CBB+jSpQt79uzhiiuuIDAwEACr1crdd999TgsUERERkcbJYXMwpcMUrki5ggV7FvDmhjdZdXAVn+/4nM93fE6/+H5M7TSVi5pfhGEY/i5XRERERM6TswowASZPnlxt39SpU39WMSIiIiIix7MYFoYkDWFI0hDWH17PmxveZO6uuSw9sJSlB5bSJqINv+r8Ky5rfRmB1kB/lysiIiIi59hZvUIO8P333zN27Fjatm1L27ZtGTduHAsXLjyXtYmIiIiIVNEltgtPDnySryZ9xbWdriXEHsL23O3cv+R+Rn40ktfXvU5eaZ6/yxQRERGRc+isAsy33nqLoUOHEhwczB133MEdd9yBw+Hg0ksv5Z133jnXNYqIiIiIVJEQmsCf+vyJuZPn8vtev6dZcDMOFx3muVXPMfzD4Ty14ilN+CMiIiLSQJzVK+SPPvoof//73/nd737n23fHHXfw9NNP8/DDD3P11VefswJFRERERE4kLCCM67pcxzWdrmF2xmzeWP8G23K2MXPDTN7a9BZjWo/hus7X0Sayjb9LFREREZGzdFY9MHfs2MHYsWOr7R83bhwZGRk/uygRERERkTNht9gZ22YsH4/7mBcvfZFezXrh8rj4dNunTJg1gd/M/w2rD672d5kiIiIichbOKsBMTExk/vz51fbPmzePxMTEn12UiIiIiMjZMAyDS1pcwsyRM3lr9FsMTRqKgcGCvQv41de/4tqvruW73d/h8Xr8XaqIiIiInKazeoX897//PXfccQdpaWkMGDAAgMWLFzNz5kyee+65c1qgiIiIiMjZ6N6kO88MfoaM3Aze3PAmn23/jLRDadzx3R20jmjNdZ2vY0zrMditdn+XKiIiIiIncVYB5q233kpcXBxPPfUU77//PgAdO3bkvffeY/z48ee0QBERERGRn6NVRCseGPAAt6feztub3ub99PfZkbuD+5bcxwurX+DaTtcyuf1kQgNC/V2qiIiIiNTgrAJMgIkTJzJx4sRzWYuIiIiIyHnTJLgJd/a6kxu73siHWz7kvxv/y8Gigzy18ileXfsqV6ZcyS87/ZJYR6y/SxURERGRSs5qDEwRERERkfoqNCCU67pcx+zLZ/PQgIdoFdGKY85j/N/6/2P4h8N5YMkD7Mzd6e8yRURERKTMaffAjIqKwjCM02qbnZ191gWJiIiIiNQGu9XOxHYTGd92PN/v+Z5/b/g3qw+u5qOtH/Hx1o8Z1nIYN3a9kY4xHf1dqoiIiEijdtoB5rPPPnseyxARERER8Q+LYWFw0mAGJw1m9cHVvLH+DRbsWcCcXXOYs2sOFzW/iGldp9GzWU9/lyoiIiLSKJ12gDl16tQzvvjjjz/OLbfcQmRk5BmfKyIiIiJS23o07cE/h/yTrUe38n/r/4+vM75m0b5FLNq3iJ5Ne3Jj1xu5qPlFp/1mkoiIiIj8fOd1DMzHHntMr5OLiIiISL3TLqodj1/8OF9M+IIr2l+B3WJn1cFV3Db/Nq784kq+2fkNbo/b32WKiIiINArnNcD0er3n8/IiIiIiIudVYngi9/W/j9mXz2Zqp6k4bA42Z2/mD9//gQmzJvDJ1k9wup3+LlNERESkQdMs5CIiIiIip9A0uCl/6PMH5lw+h1u730p4QDg783Zy35L7GPXxKN7e9DZFriJ/lykiIiLSICnAFBERERE5TZFBkdyWehtzJs/hD73/QBNHE7IKs3h82eOM+HAEr619jbzS/2/vzuOyqPf3j1/3zY6CGwouKG65i2uKWmpumfuSa+XJUjMti1YzrfSkbXo6mWlZZptruUsqWmqau+KKW6K4ISoCCsh2z+8Pf9xfOVgBoXMDr+d58DgwM/fnvqZ8H/U6c8/Emx0TAACgQKHABAAAAHKoiEsRDakzRD/3+Vnjm49X+aLldS35mj7Z94k6/dhJH+/5WFeSrpgdEwAAoECgwAQAAAByyc3JTf1q9NOqXqs05YEpqla8mm6k3tBXh77Swz89rMk7JisqIcrsmAAAAPnaXS0wH3jgAXl4eNzNtwAAAABM52x1VtcqXfVT95/037b/VT2fekpOT9b8o/PVeUlnvf372zp3/ZzZMQEAAPIl59y+0Gaz6eTJk4qOjpbNZsu078EHH5QkhYSE/LN0AAAAQD5itVj1UMWH1Na/rXZE7dAXB77Qrqhd+unET1p2cpm6VumqYfWHqZJ3JbOjAgAA5Bu5KjC3b9+uQYMG6cyZMzIMI9M+i8Wi9PT0PAkHAAAA5EcWi0XNyzZX87LNtefSHn2+/3Ntu7hNy/9YrpWnVurhgIc1vP5wVS1e1eyoAAAADi9XHyF/5pln1KRJEx06dEgxMTG6du2a/SsmJiavMwIAAAD5VmPfxvqi4xf64ZEf9GCFB2UzbAqJCFGv5b300saXdCzmmNkRAQAAHFqursA8ceKEfvzxR1WrVi2v8wAAAAAFUv3S9TWj3QwduXpEXxz4QhsiN2jdmXVad2ad2vq31YjAEapTqo7ZMQEAABxOrq7AbNasmU6ePJnXWQAAAIACr3ap2vq47cf6qftP6hTQSRZZ9OvZXzVg1QCNXD9SYdFhZkcEAABwKLm6AvO5557TSy+9pKioKNWrV08uLi6Z9tevXz9PwgEAAAAF1X0l7tNHrT/SqcBTmn1wtkIiQrTl/BZtOb9Fzco204j6I9TUr6nZMQEAAEyXqwKzT58+kqShQ4fat1ksFhmGwUN8AAAAgByoUryKpjwwRSMDR+rLg19q5R8rtePiDu24uEONfRtrRP0Ral62uSwWi9lRAQAATJGrAjMiIiKvcwAAAACFWkXviprYcqJGBI7QnINztPTkUu25tEfDQ4crsHSgRgaOVItyLSgyAQBAoZOrArNSpUp5nQMAAACApPJFy2t80HgNqz9MXx/6Wj+d+En7L+/XM+ufUWDpQD0b+KyCygVRZAIAgEIjVwVmhiNHjigyMlIpKSmZtnfv3v0fhQIAAAAKO78ifhrbbKyG1R+mOYfmaNGxRdp/eb9GrB+hBqUbaGSDkQoqS5EJAAAKvlwVmKdOnVKvXr108OBB+70vJdn/8MQ9MAEAAIC84ePho1ebvqon6zypOYfmaPHxxQq7HKYRoSPUsExDjQwcyT0yAQBAgWbNzYvGjBmjypUrKzo6Wp6enjp8+LA2b96sJk2aaOPGjXkcEQAAAEBpz9J67f7X9HPvn/VYrcfkanXVvuh9Gh46XP9a8y9tv7jdfmEBAABAQZKrAnPbtm2aOHGifHx8ZLVaZbVa1apVK02ZMkXPP/98XmcEAAAA8P/Zi8w+P2twrcFytbpqb/ReDVs3TP9a8y/tuLiDIhMAABQouSow09PT5eXlJUny8fHRhQsXJN16uM+xY8fyLh0AAACAOyrjWUav3/+6QnqHaFDNQfYi8+l1T+vJtU9qV9QusyMCAADkiVwVmHXr1tX+/fslSc2aNdMHH3ygrVu3auLEiapSpUqeBgQAAADw53yL+Gpss7EK6R2igTUHysXqoj2X9mjo2qEaunYoRSYAAMj3clVgvvnmm7LZbJKkiRMnKiIiQg888IBCQkL0ySef5GlAAAAAAH/Pt4iv3mj2hkJ6h2hAjQFysbpoV9QuDV07VE+tfUq7o3abHREAACBXcvUU8k6dOtm/r1atmo4ePaqYmBiVKFGCpx8CAAAAJvIr4qdxzcfpqXpP6cuDX2rJiSXaGbVTO6N2qplfM41qOEoNyzQ0OyYAAEC25eoKzAwnT57U2rVrlZSUpJIlS+ZVpnvmo48+Up06dVS3bl19//33ZscBAAAA8oxfET+92fxNhfQOUf8a/eVsddaOqB164ucnNHL9SB2+etjsiAAAANmSqwLz6tWrateune677z498sgjunjxoiTpqaee0ksvvZSnAe+WgwcPat68edqzZ4927dqlTz/9VLGxsWbHAgAAAPKUvcjsFaI+1fvIyeKkLee3aMCqAXrh1xd0/NpxsyMCAAD8pVwVmC+++KJcXFwUGRkpT09P+/b+/ftrzZo1eRbubgoPD1dQUJDc3d3l4eGhwMDAfJMdAAAAyKmyRcvq7RZva0XPFepWpZsssmhD5Ab1XdFXr25+VafjTpsdEQAA4I5yVWCuW7dO77//vipUqJBpe/Xq1XXmzJk8CbZ582Z169ZN5cqVk8Vi0bJly7IcM2PGDAUEBMjd3V3NmjXTzp07s71+3bp1tXHjRsXGxuratWvauHGjzp8/nyfZAQAAAEdV0buiJj8wWUt7LFXHSh1lyNDPET+rx/IeGr91vM7f4M/EAADAseTqIT4JCQmZrrzMEBMTIzc3t38cKuM9AgMDNXToUPXu3TvL/oULFyo4OFizZs1Ss2bN9PHHH6tTp046duyYypQpI0lq0KCB0tLSsrx23bp1ql27tp5//nk99NBDKlasmJo3by4nJ6c8yQ4AAAA4uqrFq2pqm6k6GnNUM/bN0MZzG7Xs5DKtOrVKfar30bB6w+RbxNfsmAAAALkrMB944AF9++23mjRpkiTJYrHIZrPpgw8+UNu2bfMkWOfOndW5c+c/3T9t2jQNGzZMTz75pCRp1qxZWr16tebMmaPXX39dkhQWFvaX7zFixAiNGDFCkvT000+revXqf3pscnKykpOT7T/Hx8dLklJTU5Wampqtc8pPMs6pIJ4bkF8wh4D5mEMUBlW9qmrag9N08MpBzTwwU9ujtmvhsYVaemKpHq3+qJ6s86RKupvzwE5mEDAfcwiYryDPYXbPyWIYhpHTxQ8dOqR27dqpUaNG+uWXX9S9e3cdPnxYMTEx2rp1q6pWrZrjwH8Z0mLR0qVL1bNnT0lSSkqKPD099eOPP9q3SdKQIUMUGxur5cuXZ2vd6OholSlTRseOHdOjjz6qvXv3ytn5zp3u22+/rXfeeSfL9nnz5t3xalQAAAAgP4pIi9D6pPU6k37r1lAuclGQW5BaubWSp5U/9wIAgLyTmJioQYMGKS4uTt7e3n96XK6uwKxbt66OHTumGTNmyMvLSzdu3FDv3r01atQolS1bNtehs+vKlStKT0+Xr2/mj7T4+vrq6NGj2V6nR48eiouLU5EiRfT111//aXkpSWPHjlVwcLD95/j4ePn7+6tjx45/+Q84v0pNTVVoaKg6dOggFxcXs+MAhRJzCJiPOURh9azxrLZHbddn+z/T4ZjD2py8WXtte/VYzcc0qOYgFXUpek9yMIOA+ZhDwHwFeQ4zPuH8d3JVYEqSu7u7OnTooMDAQNlsNknSrl27JEndu3fP7bL31LZt27J9rJub2x3v7+ni4lLgfvHcrqCfH5AfMIeA+ZhDFEYPVnxQD/g/oI1nN+rTsE91/NpxzTo4S/OPz9eTdZ7UoFqD5OHscU+yMIOA+ZhDwHwFcQ6zez65KjDXrFmjxx9/XDExMfrfT6BbLBalp6fnZtls8/HxkZOTky5dupRp+6VLl+Tn53dX3xsAAAAoLCwWi9pWbKvW/q217sw6zdg3Q6fjT+vjvR/rh/Af9EzgM+pVvZdcrAXrL1MAAMCxWHPzoueee079+vXThQsXZLPZMn3d7fJSklxdXdW4cWNt2LDBvs1ms2nDhg0KCgq66+8PAAAAFCZWi1UPBzyspT2W6t8t/63yRcvrctJlTdo+ST2W9dDqU6tlM2xmxwQAAAVUrgrMS5cuKTg4OMs9KPPSjRs3FBYWZn+SeEREhMLCwhQZGSlJCg4O1uzZs/XNN98oPDxcI0eOVEJCgv2p5AAAAADylrPVWT2q9dCKnis09v6xKuleUmevn9Xrv72ufiv7afO5zVk+oQUAAPBP5eoj5H379tXGjRvz/Gnjt9u9e7fatm1r/znjATpDhgzR3Llz1b9/f12+fFkTJkxQVFSUGjRooDVr1tzVUhUAAACA5OrkqkG1BqlntZ767sh3mnt4ro5dO6ZRG0apUZlGGtNojBr5NjI7JgAAKCByVWB++umnevTRR/Xbb7+pXr16WW64+fzzz//jYG3atPnb//d29OjRGj169D9+LwAAAAA55+niqRGBI9S/Rn/NOTRH847O097ovRqyZogerPCgnm/4vGqUrGF2TAAAkM/lqsCcP3++1q1bJ3d3d23cuFEWi8W+z2Kx5EmBCQAAACB/KO5eXMFNgjW41mDNOjBLS08s1eZzm/Xbud/UuXJnjW4wWv7e/mbHBAAA+VSu7oE5btw4vfPOO4qLi9Pp06cVERFh/zp16lReZwQAAACQD/gW8dVbQW9pWY9l6hTQSYYMhUSEqPuy7vr39n/rcuJlsyMCAIB8KFcFZkpKivr37y+rNVcvBwAAAFCABRQL0EetP9LCrgvVsnxLpRlpWnhsoR5Z8og+3vOx4pLjzI4IAADykVw1kEOGDNHChQvzOgsAAACAAqR2qdqa1X6W5nSao8DSgbqZflNfHfpKnZd01pcHv1RSWpLZEQEAQD6Qq3tgpqen64MPPtDatWtVv379LA/xmTZtWp6EAwAAAJD/NfVrqu86f6eNZzfqk32f6GTsSf137381L3yengl8Rr2r95azNVd/NQEAAIVArv6UcPDgQTVs2FCSdOjQoUz7bn+gDwAAAABIt/6e0LZiWz1Y4UGFRIRoRtgMnb9xXpO2T9J3R77TC41e0EMVH+LvEwAAIItcFZi//vprXucAAAAAUAg4WZ3UrWo3PRzwsBYdX6TP93+u0/Gn9cLGF9SgdAMFNwlWwzINzY4JAAAcCE/hAQAAAHDPuTi5aHCtwVrde7WG1Rsmdyd3hV0O0xM/P6Exv4zRqbhTZkcEAAAOggITAAAAgGm8XL30fKPntarXKvWp3kdWi1W/nP1FvZf31r93/lvXbdfNjggAAExGgQkAAADAdL5FfPV2i7e1pPsStfFvo3QjXUtOLtG0+Gn6bP9nupFyw+yIAADAJBSYAAAAABxG1eJVNf2h6frm4W9Ur1Q9pSpVXx7+Ul2WdtEP4T8oNT3V7IgAAOAeo8AEAAAA4HAa+TbS3I5zNdBzoCp5VVLMzRi9t/M99VjeQ2si1sgwDLMjAgCAe4QCEwAAAIBDslgsquNaR4u6LNL45uNVyr2Uzl4/q1c2v6KBqwdq58WdZkcEAAD3AAUmAAAAAIfmYnVRvxr9FNI7RM82eFaezp46fPWwnlr3lJ5d/6yOXztudkQAAHAXUWACAAAAyBc8XTw1MnCkVvderQE1BsjZ4qzfzv+mviv6asLWCYpOjDY7IgAAuAsoMAEAAADkKz4ePhrXfJyW9VymjpU6ypChpSeXquvSrpoZNlOJqYlmRwQAAHmIAhMAAABAvlTJu5Kmtpmq7x/5XoGlA5WUlqTP9n+mrku7aumJpUq3pZsdEQAA5AEKTAAAAAD5WmDpQH3X+Tt91PojlS9aXpeTLmvC7xPUb1U/bbuwzex4AADgH6LABAAAAJDvWSwWdQropBU9V+jlJi/Ly9VLx68d1/DQ4Rq5fqROXjtpdkQAAJBLFJgAAAAACgxXJ1cNqTNEIb1C9Fitx+RscdaW81vUZ2UfTdw2UVeSrpgdEQAA5BAFJgAAAIACp7h7cb12/2ta1nOZ2ldsL5th0+Lji9VlSRd9ceALJaUlmR0RAABkEwUmAAAAgAKrkncl/aftfzT34bmqW6quEtMSNX3fdHVb2k0r/1gpm2EzOyIAAPgbFJgAAAAACrzGvo31Q5cf9N4D76lskbK6lHhJb2x5QwNWDdCuqF1mxwMAAH+BAhMAAABAoWC1WNWlShet7LVSLzR6QUVdiio8JlxD1w7Vc788p4i4CLMjAgCAO6DABAAAAFCouDm56al6T2l179XqX6O/nCxO2nh2o3ot76UpO6YoLjnO7IgAAOA2FJgAAAAACqWS7iX1ZvM3taTHErWp0EbpRrrmHZ2nLku7aF74PKXaUs2OCAAARIEJAAAAoJCrUqyKprebri86fKFqxaspLjlOU3ZOUd8VfbX1/Faz4wEAUOhRYAIAAACApKByQVrcbbHGNx+vEm4ldCrulJ5Z/4yeXf+sTsWdMjseAACFFgUmAAAAAPx/zlZn9avRT6t6r9ITtZ+Qs8VZv53/TX2W99H7O9/n/pgAAJiAAhMAAAAA/oe3q7deafqKlvZYqjYV2ijNSNP34d+ry9Iumn90vtJsaWZHBACg0KDABAAAAIA/EVAsQNPbTdfn7T+33x9z8o7J6ruir34//7vZ8QAAKBQoMAEAAADgb7Qo30KLuy3WuGbjVNytuP6I+0Mj1o/Q6A2jFREXYXY8AAAKNApMAAAAAMgGZ6uzBtQcoFW9VumxWo/J2eKsTec2qffy3vpg1wfcHxMAgLuEAhMAAAAAcqCYWzG9dv9rWtJjiR6s8KDSjDR9d+Q7dV3aVQuOLuD+mAAA5DEKTAAAAADIhcrFKmtGuxma1X6WqharqtjkWL274109uvJRbb+43ex4AAAUGBSYAAAAAPAPtCzfUj92/1FvNHtDxdyK6WTsSQ1bN0zBG4N1/sZ5s+MBAJDvUWACAAAAwD/kbHXWwJoDtbrXag2qOUhOFieFnglVj2U99FnYZ0pKSzI7IgAA+RYFJgAAAADkkWJuxTS22Vgt6rZITf2aKjk9WTP3z1SPZT0UeiZUhmGYHREAgHyHAhMAAAAA8th9Je7TVx2/0ketP5JfET9dTLio4I3BGrZumE5eO2l2PAAA8hUKTAAAAAC4CywWizoFdNKKniv0TOAzcrW6akfUDvVd2Vfv7XxP8SnxZkcEACBfKBQFZq9evVSiRAn17ds3R/sAAAAA4J/ycPbQqAajtLzncrWr2E7pRrp+CP9BXZd01U/Hf1K6Ld3siAAAOLRCUWCOGTNG3377bY73AQAAAEBeqeBVQR+3/Vifd/hcVYpV0bXka3p729saFDJIYdFhZscDAMBhFYoCs02bNvLy8srxPgAAAADIay3KtdCP3X/Uq01fVVGXojpy9Yge//lxjdsyTpcTL5sdDwAAh2N6gbl582Z169ZN5cqVk8Vi0bJly7IcM2PGDAUEBMjd3V3NmjXTzp07731QAAAAAMgjLlYXPV77ca3stVK9qvWSJK34Y4W6Lu2qrw99rdT0VJMTAgDgOEwvMBMSEhQYGKgZM2bccf/ChQsVHByst956S3v37lVgYKA6deqk6Oho+zENGjRQ3bp1s3xduHDhXp0GAAAAAOSYj4ePJracqHmPzFM9n3pKTEvUtD3T1HtFb209v9XseAAAOARnswN07txZnTt3/tP906ZN07Bhw/Tkk09KkmbNmqXVq1drzpw5ev311yVJYWFhdz1ncnKykpOT7T/Hx996YmBqaqpSUwve/zuacU4F8dyA/II5BMzHHALmKkwzWLN4TX3d4Wutilil6WHTdTr+tJ5Z/4za+bdTcKNglS1S1uyIKKQK0xwCjqogz2F2z8n0AvOvpKSkaM+ePRo7dqx9m9VqVfv27bVt27Z7mmXKlCl65513smxft26dPD0972mWeyk0NNTsCEChxxwC5mMOAXMVphl0lrNGuo3UL8Yv2p68XRvObtDms5vVxr2NWrq1lLPFof8KhwKsMM0h4KgK4hwmJiZm6ziH/t3vypUrSk9Pl6+vb6btvr6+Onr0aLbXad++vfbv36+EhARVqFBBixcvVlBQ0N/uu93YsWMVHBxs/zk+Pl7+/v7q2LGjvL29c3mGjis1NVWhoaHq0KGDXFxczI4DFErMIWA+5hAwV2Gewd7qrROxJ/Terve07/I+hd4M1QnXE3q10atqXra52fFQiBTmOQQcRUGew4xPOP8dhy4w88r69etzte92bm5ucnNzy7LdxcWlwP3iuV1BPz8gP2AOAfMxh4C5CusM1i5dW990/karTq3S1N1TdTr+tJ799Vl1rNRRrzR9RX5F/MyOiEKksM4h4EgK4hxm93xMf4jPX/Hx8ZGTk5MuXbqUafulS5fk58dv1gAAAAAKNovFom5Vu2llr5V6rNZjslqsWndmnbov6645h+bwtHIAQKHg0AWmq6urGjdurA0bNti32Ww2bdiw4Y4f8wYAAACAgsjL1Uuv3f+aFnVdpEZlGikpLUn/2fMf9VnZR9svbjc7HgAAd5XpBeaNGzcUFhZmf5J4RESEwsLCFBkZKUkKDg7W7Nmz9c033yg8PFwjR45UQkKC/ankAAAAAFBY1ChZQ3Mfnqt3W72rku4lFREXoWHrhunlTS/rUsKlv18AAIB8yPR7YO7evVtt27a1/5zxoJwhQ4Zo7ty56t+/vy5fvqwJEyYoKipKDRo00Jo1a7I82AcAAAAACgOLxaLuVburjX8bzdg3QwuOLdDa02u1+dxmjQwcqcdqPSYXp4J1jzQAQOFm+hWYbdq0kWEYWb7mzp1rP2b06NE6c+aMkpOTtWPHDjVr1sy8wAAAAADgALxdvTW22Vgt7LpQDUo3UFJakqbtmaa+K/tqx8UdZscDACDPmF5gAgAAAAByr2bJmvqm8zf6d8t/q6R7SZ2KO6Wn1z2tVze9qujEaLPjAQDwj1FgAgAAAEA+Z7VY1aNaD63stVIDaw6U1WLVz6d/Vvdl3fVD+A9Kt6WbHREAgFyjwAQAAACAAsLb1VtvNHtDC7osUH2f+kpITdB7O9/ToJBBOnzlsNnxAADIFQpMAAAAAChgapWqpe8e+U7jm4+Xl6uXjlw9ooGrB+rd7e/qesp1s+MBAJAjFJgAAAAAUABZLVb1q9FPK3quUNcqXWXI0IJjC9R9WXeFnAqRYRhmRwQAIFsoMAEAAACgAPPx8NGUB6boy45fKsA7QFeSrui1317T8NDhOhN/xux4AAD8LQpMAAAAACgEmpVtpp+6/6TRDUbL1eqq7Re3q/fy3poZNlPJ6clmxwMA4E9RYAIAAABAIeHq5KoRgSO0tMdStSjXQim2FH22/zP1Xt5bv1/43ex4AADcEQUmAAAAABQyFb0ralb7Wfqw9Ycq7VFakdcjNSJ0hF7d/KquJF0xOx4AAJlQYAIAAABAIWSxWPRwwMNa3nO5BtUcJKvFqp8jfla3pd00/+h8pdvSzY4IAIAkCkwAAAAAKNS8XL00ttlYzesyT3VK1dGN1BuavGOyBocM1uGrh82OBwAABSYAAAAAQKpTqo5+eOQHvdHsDRV1KarDVw9r0OpBen/n+0pMTTQ7HgCgEKPABAAAAABIkpysThpYc6BW9FyhzgGdZTNs+j78e/Vc3lObzm4yOx4AoJCiwAQAAAAAZFLas7Q+aP2BZrafqfJFy+tiwkWN/mW0Xtr4ki4nXjY7HgCgkKHABAAAAADcUavyrbSk+xL9q86/5GRx0roz69RjWQ8tPr5YNsNmdjwAQCFBgQkAAAAA+FOeLp56qclLmt9lvmqXqq3rqdc1cdtE/WvNv/RH7B9mxwMAFAIUmAAAAACAv1WrVC3Ne2SeXmv6mjycPbQvep/6ruyrT/d9quT0ZLPjAQAKMApMAAAAAEC2OFmd9Fjtx7S8x3K1rtBaabY0fX7gc/Vd0Ve7onaZHQ8AUEBRYAIAAAAAcqRs0bKa/tB0TW09VT4ePjodf1pD1w7VhK0TFJccZ3Y8AEABQ4EJAAAAAMgxi8WijgEdtbzncvW7r58kaenJpeq+rLtCToXIMAyTEwIACgoKTAAAAABArnm7emt80Hh98/A3qlqsqmJuxui1317TyA0jde76ObPjAQAKAApMAAAAAMA/1si3kRZ3W6zRDUbLxeqiree3qtfyXpp7aK7SbGlmxwMA5GMUmAAAAACAPOHi5KIRgSO0pPsSNfVrqpvpNzV1z1QNDhmsYzHHzI4HAMinKDABAAAAAHkqoFiAvur4lSa2mCgvVy8duXpEA1YN0Cd7P1FyerLZ8QAA+QwFJgAAAAAgz1ksFvWq3ksreq5Qh0odlGakafbB2eq7oq/2XtprdjwAQD5CgQkAAAAAuGt8PHw0rc00/afNf+Tj4aPT8ac1ZM0Qvbv9XSWkJpgdDwCQD1BgAgAAAADuuvaV2mtZj2XqXb23JGnBsQXqubynfjv3m8nJAACOjgITAAAAAHBPFHMrpndavKPZHWerQtEKikqI0rMbntXY38bq2s1rZscDADgoCkwAAAAAwD3VvGxz/dT9Jz1R+wlZLVatOrVKPZf31M8RP8swDLPjAQAcDAUmAAAAAOCe83Tx1CtNX9H3nb9XteLVFHMzRq9uflXP/fKcohKizI4HAHAgFJgAAAAAANPUK11Pi7ou0rMNnpWz1Vmbzm1Sz+U9tejYItkMm9nxAAAOgAITAAAAAGAqFycXjQwcqcVdF6t+6fpKSE3QpO2TNHTtUJ2OO212PACAySgwAQAAAAAOoVqJavr24W/1+v2vy8PZQ3su7VGfFX301cGvlGZLMzseAMAkFJgAAAAAAIfhZHXS4FqDtbTHUrUo10IpthR9vPdjPR7yuE5eO2l2PACACSgwAQAAAAAOp3zR8prVfpYmtZwkL1cvHbp6SP1W9dMXB75Qqi3V7HgAgHuIAhMAAAAA4JAsFot6VuupZT2WqXWF1kq1pWr6vukavHqwjsUcMzseAOAeocAEAAAAADi0Mp5lNP2h6ZrcarK8Xb0VHhOuAasHaNb+WVyNCQCFAAUmAAAAAMDhWSwWdavaTct6LFNb/7ZKs6VpRtgMDVo9SEdjjpodDwBwF1FgAgAAAADyjdKepfXftv/V+w+8r2JuxXQ05qgGrhqoz8I+U2o6V2MCQEFEgQkAAAAAyFcsFoseqfKIlvVYpvYV2yvNSNPM/TM1YPUAHbl6xOx4AIA8VigKzF69eqlEiRLq27dvpu2xsbFq0qSJGjRooLp162r27NkmJQQAAAAA5JSPh4+mtZmmD1t/qBJuJXT82nENWj1I0/dNV0p6itnxAAB5pFAUmGPGjNG3336bZbuXl5c2b96ssLAw7dixQ5MnT9bVq1dNSAgAAAAAyA2LxaKHAx7Wsp7L1Cmgk9KNdH1x4Av1X9Vfh68cNjseACAPFIoCs02bNvLy8sqy3cnJSZ6enpKk5ORkGYYhwzDudTwAAAAAwD9U0r2kPmr9kaa2nqqS7iV1MvakBocM1n/3/perMQEgnzO9wNy8ebO6deumcuXKyWKxaNmyZVmOmTFjhgICAuTu7q5mzZpp586defb+sbGxCgwMVIUKFfTKK6/Ix8cnz9YGAAAAANxbHQM6almPZeoc0FnpRrq+PPil+q3sx9WYAJCPmV5gJiQkKDAwUDNmzLjj/oULFyo4OFhvvfWW9u7dq8DAQHXq1EnR0dH2YzLuYfm/XxcuXPjb9y9evLj279+viIgIzZs3T5cuXcqzcwMAAAAA3Hsl3Evog9Yf6OM2H6uUeyn9EfeHBocM1oywGTypHADyIWezA3Tu3FmdO3f+0/3Tpk3TsGHD9OSTT0qSZs2apdWrV2vOnDl6/fXXJUlhYWH/OIevr68CAwP122+/ZXnYj3TrI+bJycn2n+Pj4yVJqampSk0teL8BZpxTQTw3IL9gDgHzMYeAuZhB/FMPlntQix5ZpPd3v691kes0a/8s/Rr5qyYGTVT14tXNjpcvMIeA+QryHGb3nEwvMP9KSkqK9uzZo7Fjx9q3Wa1WtW/fXtu2bfvH61+6dEmenp7y8vJSXFycNm/erJEjR97x2ClTpuidd97Jsn3dunX2+2gWRKGhoWZHAAo95hAwH3MImIsZxD/1oB5UCc8SWpG0QseuHdOgkEF6yP0htXJrJSeLk9nx8gXmEDBfQZzDxMTEbB3n0AXmlStXlJ6eLl9f30zbfX19dfTo0Wyv0759e+3fv18JCQmqUKGCFi9erKCgIJ05c0bDhw+3P7znueeeU7169e64xtixYxUcHGz/OT4+Xv7+/urYsaO8vb1zd4IOLDU1VaGhoerQoYNcXFzMjgMUSswhYD7mEDAXM4i89Ige0VNJT+ndne9q0/lNCr0ZqotFLmpi0EQFeAeYHc9hMYeA+QryHGZ8wvnvOHSBmVfWr19/x+33339/tj9+7ubmJjc3tyzbXVxcCtwvntsV9PMD8gPmEDAfcwiYixlEXinrUlbT203Xij9W6P2d7+vQ1UMa+PNAjWk0RoNrDZbVYvpjIhwWcwiYryDOYXbPx6H/19nHx0dOTk5ZHqxz6dIl+fn5mZQKAAAAAJBfWSwW9ajWQ0t6LFFQ2SAlpyfrg10faOjaoTp7/azZ8QAAd+DQBaarq6saN26sDRs22LfZbDZt2LBBQUFBJiYDAAAAAORnfkX89HmHzzW++Xh5OHtoz6U96rOijxYdWyTDMMyOBwC4jekF5o0bNxQWFmb/KHdERITCwsIUGRkpSQoODtbs2bP1zTffKDw8XCNHjlRCQoL9qeQAAAAAAOSGxWJRvxr99FP3n9TYt7GS0pI0afskPbP+GUUlRJkdDwDw/5leYO7evVsNGzZUw4YNJd0qLBs2bKgJEyZIkvr376+PPvpIEyZMUIMGDRQWFqY1a9ZkebAPAAAAAAC54e/lrzmd5ujVpq/KzclNv1/4Xb2W99Lyk8u5GhMAHIDpD/Fp06bN3/6GMHr0aI0ePfoeJQIAAAAAFDZWi1WP135crcq30ptb3tSBKwf05tY3tf7Mer3V4i35ePiYHREACi3Tr8AEAAAAAMBRVC5WWd90/kZjGo2Rs9VZG89tVM/lPbXm9BqzowFAoUWBCQAAAADAbZytznq63tNa2HWhapasqbjkOL2y6RW9tvk1xSXHmR0PAAodCkwAAAAAAO7gvhL3ad4j8zS8/nBZLVaFRISo94re2nZhm9nRAKBQocAEAAAAAOBPuDi56LmGz+nbzt+qoldFRSdGa3jocL2/833dTLtpdjwAKBQoMAEAAAAA+BuBpQO1uNti9buvnyTp+/Dv1X9Vfx2+etjkZABQ8FFgAgAAAACQDZ4unhofNF4z2s2Qj4ePTsWd0mOrH9Pn+z9Xmi3N7HgAUGBRYAIAAAAAkAMPVnhQS7ovUYdKHZRmpOnTsE81ZM0QnYk/Y3Y0ACiQKDABAAAAAMihEu4lNLX1VE1uNVlFXYrqwOUDenTlo1p0bJEMwzA7HgAUKBSYAAAAAADkgsViUbeq3bSk+xI19WuqpLQkTdo+SaM2jNLlxMtmxwOAAoMCEwAAAACAf6Bs0bL6suOXeqXJK3K1uuq387+p94reCj0TanY0ACgQKDABAAAAAPiHrBarnqjzhBZ0XaAaJWooNjlWwRuDNW7LOF1PuW52PADI1ygwAQAAAADII9VLVNf8LvP1dL2nZbVYteKPFeqzoo92Re0yOxoA5FsUmAAAAAAA5CEXJxeNaTRGcx+eqwpFK+hiwkU9tfYpfbjrQyWnJ5sdDwDyHQpMAAAAAADugoZlGurH7j+qT/U+MmTo2yPfasCqAToWc8zsaACQr1BgAgAAAABwlxRxKaK3W7yt6Q9NV0n3kjoZe1IDVw/UN4e/kc2wmR0PAPIFCkwAAAAAAO6yNv5ttKT7ErWp0EaptlR9tPsjDV83XFEJUWZHAwCHR4EJAAAAAMA9UMqjlD556BONbz5e7k7u2hG1Q31W9NHa02vNjgYADo0CEwAAAACAe8RisahfjX5a1G2R6pSqo/iUeL286WWN2zJON1JumB0PABwSBSYAAAAAAPdY5WKV9d0j32lYvWGyWqxa8ccK9V3ZV3sv7TU7GgA4HApMAAAAAABM4GJ10fONntfXnb5W+aLldf7GeT259kl9svcTpdpSzY4HAA6DAhMAAAAAABM18m2kH7v9qO5Vu8tm2DT74Gw9HvK4TsedNjsaADgECkwAAAAAAExW1LWo3m31rj5s/aG8Xb11+Oph9VvVT4uPL5ZhGGbHAwBTUWACAAAAAOAgHg54WD91/0nNyjZTUlqSJm6bqOd/eV4XblwwOxoAmIYCEwAAAAAAB+JXxE9fdPhCrzR5RS5WF208t1Fdlna5dW/MdO6NCaDwocAEAAAAAMDBWC1WPVHnCc3vMl/NyjZTmi1Nsw/O1uCQwfoj9g+z4wHAPUWBCQAAAACAg6pRsoa+7PilpraeqmJuxRQeE65+K/vp28PfymbYzI4HAPcEBSYAAAAAAA6uY0BHLe2+VK3Kt1KKLUUf7v5Qw9YN08UbF82OBgB3HQUmAAAAAAD5QGnP0vqs3Wca33y8PJw9tDNqp/qs6KN90fvMjgYAdxUFJgAAAAAA+YTFYlG/Gv20uNti1fOpp+up1zUidITWnl5rdjQAuGsoMAEAAAAAyGcqeVfSV52+UvOyzZWUlqSXN72scVvG6XrKdbOjAUCeo8AEAAAAACAf8nD20GftPtOwesNktVi14o8V6ruir/Zc2mN2NADIUxSYAAAAAADkUy5OLnq+0fOa+/BclS9aXhcSLujJNU/qv3v/q9T0VLPjAUCeoMAEAAAAACCfa1imoX7s9qN6VO0hQ4a+PPilBocM1qnYU2ZHA4B/jAITAAAAAIACoKhrUf271b81rc00FXMrpvCYcPVb1U/zj86XYRhmxwOAXKPABAAAAACgAOlQqYOWdF+iFuVaKDk9WZN3TNbIDSN1OfGy2dEAIFcoMAEAAAAAKGDKeJbRzPYz9fr9r8vNyU1bz29V7xW9teHMBrOjAUCOUWACAAAAAFAAWS1WDa41WAu7LlTNkjUVmxyrFza+oAlbJyghNcHseACQbRSYAAAAAAAUYFWLV9W8R+bpqbpPySKLlp5cqr4r+iosOszsaACQLc5mBwAAAAAAAHeXi5OLXmj8glqVb6VxW8bp3I1zGrJmiB4s/6DKFi2rp+s9rTKeZcyOCQB3xBWYAAAAAAAUEk38mujH7j+qW5Vushk2bTy3UfOPzlePZT00/+h8pdvSzY4IAFkUigKzV69eKlGihPr27ZtlX0BAgOrXr68GDRqobdu2JqQDAAAAAODe8XL10uQHJmt2x9l6temrqudTTzdSb2jyjsl6/OfHdTTmqNkRASCTQlFgjhkzRt9+++2f7v/9998VFhamX3/99R6mAgAAAADAPM3LNtfjtR/Xd52/07hm41TUpagOXjmoAasGaOruqUpMTTQ7IgBIKiQFZps2beTl5WV2DAAAAAAAHI6T1UkDag7Q8p7L1bFSR6Ub6Zp7eK5GbRglwzDMjgcA5heYmzdvVrdu3VSuXDlZLBYtW7YsyzEzZsxQQECA3N3d1axZM+3cuTPP3t9isah169Zq2rSpfvjhhzxbFwAAAACA/KSMZxlNbTNVM9rNkIezh3Zf2q2Q0yFmxwIA8wvMhIQEBQYGasaMGXfcv3DhQgUHB+utt97S3r17FRgYqE6dOik6Otp+TIMGDVS3bt0sXxcuXPjb99+yZYv27NmjFStWaPLkyTpw4ECenRsAAAAAAPnNgxUe1PD6wyVJk3dN1vbk7bIZNpNTASjMnM0O0LlzZ3Xu3PlP90+bNk3Dhg3Tk08+KUmaNWuWVq9erTlz5uj111+XJIWFheX6/cuXLy9JKlu2rB555BHt3btX9evXz3JccnKykpOT7T/Hx8dLklJTU5Wamprr93dUGedUEM8NyC+YQ8B8zCFgLmYQMM/A6gP1+/nftevSLq1KW6XIdZF6q/lbqlysstnRgEKnIP9+mN1zMr3A/CspKSnas2ePxo4da99mtVrVvn17bdu27R+vn5CQIJvNJi8vL924cUO//PKL+vXrd8djp0yZonfeeSfL9nXr1snT0/MfZ3FUoaGhZkcACj3mEDAfcwiYixkEzNHN6CY/Dz+tTVqrA1cPqN/qfmrr3lYPuD0gJ4uT2fGAQqcg/n6YmJi9h4U5dIF55coVpaeny9fXN9N2X19fHT16NNvrtG/fXvv371dCQoIqVKigxYsXKygoSJcuXVKvXr0kSenp6Ro2bJiaNm16xzXGjh2r4OBg+8/x8fHy9/dXx44d5e3tnYuzc2ypqak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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(16, 6))\n", - "plotter.plot_loss(trainer, label='Standard')\n", - "plotter.plot_loss(trainer_feat, label='Static Features')\n", - "plotter.plot_loss(trainer_learn, label='Learnable Features')\n", - "\n", - "plt.grid()\n", - "plt.legend()\n", - "plt.show()" - ] } ], "metadata": { @@ -580,7 +586,8 @@ "hash": "56be7540488f3dc66429ddf54a0fa9de50124d45fcfccfaf04c4c3886d735a3a" }, "kernelspec": { - "display_name": "Python 3.9.16 64-bit ('dl': conda)", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -593,7 +600,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/tutorials/tutorial2/tutorial.py b/tutorials/tutorial2/tutorial.py index c3aee33..fd56b3a 100644 --- a/tutorials/tutorial2/tutorial.py +++ b/tutorials/tutorial2/tutorial.py @@ -98,7 +98,7 @@ trainer = Trainer(pinn, max_epochs=1000, callbacks=[MetricTracker()]) trainer.train() -# Now the *Plotter* class is used to plot the results. +# Now the `Plotter` class is used to plot the results. # The solution predicted by the neural network is plotted on the left, the exact one is represented at the center and on the right the error between the exact and the predicted solutions is showed. # In[4]: @@ -238,18 +238,3 @@ trainer_learn.train() plotter.plot(trainer_learn) - -# In[10]: - - -import matplotlib.pyplot as plt - -plt.figure(figsize=(16, 6)) -plotter.plot_loss(trainer, label='Standard') -plotter.plot_loss(trainer_feat, label='Static Features') -plotter.plot_loss(trainer_learn, label='Learnable Features') - -plt.grid() -plt.legend() -plt.show() - diff --git a/tutorials/tutorial3/tutorial.ipynb b/tutorials/tutorial3/tutorial.ipynb index efd03c4..e638feb 100644 --- a/tutorials/tutorial3/tutorial.ipynb +++ b/tutorials/tutorial3/tutorial.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "6a739a84", "metadata": {}, "source": [ "# Tutorial 3: resolution of wave equation with hard constraint PINNs." @@ -9,13 +10,15 @@ }, { "cell_type": "markdown", + "id": "2316f24e", "metadata": {}, "source": [ - "### The problem solution " + "## The problem definition " ] }, { "cell_type": "markdown", + "id": "bc2bbf62", "metadata": {}, "source": [ "In this tutorial we present how to solve the wave equation using hard constraint PINNs. For doing so we will build a costum torch model and pass it to the `PINN` solver.\n", @@ -35,6 +38,7 @@ }, { "cell_type": "markdown", + "id": "0a733b62", "metadata": {}, "source": [ "First of all, some useful imports." @@ -43,6 +47,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "d93daba0", "metadata": {}, "outputs": [], "source": [ @@ -60,6 +65,7 @@ }, { "cell_type": "markdown", + "id": "cbc50741", "metadata": {}, "source": [ "Now, the wave problem is written in PINA code as a class, inheriting from `SpatialProblem` and `TimeDependentProblem` since we deal with spatial, and time dependent variables. The equations are written as `conditions` that should be satisfied in the corresponding domains. `truth_solution` is the exact solution which will be compared with the predicted one." @@ -68,6 +74,7 @@ { "cell_type": "code", "execution_count": 2, + "id": "b60176c4", "metadata": {}, "outputs": [], "source": [ @@ -108,18 +115,28 @@ }, { "cell_type": "markdown", + "id": "03557e0c-1f82-4dad-b611-5d33fddfd0ef", "metadata": {}, "source": [ - "After the problem, a **torch** model is needed to solve the PINN. Usually many models are already implemented in `PINA`, but the user has the possibility to build his/her own model in `pyTorch`. The hard constraint we impose are on the boundary of the spatial domain. Specificly our solution is written as:\n", + "## Hard Constraint Model" + ] + }, + { + "cell_type": "markdown", + "id": "356fe363", + "metadata": {}, + "source": [ + "After the problem, a **torch** model is needed to solve the PINN. Usually, many models are already implemented in `PINA`, but the user has the possibility to build his/her own model in `PyTorch`. The hard constraint we impose is on the boundary of the spatial domain. Specifically, our solution is written as:\n", "\n", "$$ u_{\\rm{pinn}} = xy(1-x)(1-y)\\cdot NN(x, y, t), $$\n", "\n", - "where $NN$ is the neural net output. This neural network takes as input the coordinates (in this case $x$, $y$ and $t$) and provides the unkwown field of the Wave problem. By construction it is zero on the boundaries. The residual of the equations are evaluated at several sampling points (which the user can manipulate using the method `discretise_domain`) and the loss minimized by the neural network is the sum of the residuals." + "where $NN$ is the neural net output. This neural network takes as input the coordinates (in this case $x$, $y$ and $t$) and provides the unknown field $u$. By construction, it is zero on the boundaries. The residuals of the equations are evaluated at several sampling points (which the user can manipulate using the method `discretise_domain`) and the loss minimized by the neural network is the sum of the residuals." ] }, { "cell_type": "code", "execution_count": 3, + "id": "9fbbb74f", "metadata": {}, "outputs": [], "source": [ @@ -142,6 +159,15 @@ }, { "cell_type": "markdown", + "id": "f79fc901-4720-4fac-8b72-84ac5f7d2ec3", + "metadata": {}, + "source": [ + "## Train and Inference" + ] + }, + { + "cell_type": "markdown", + "id": "b465bebd", "metadata": {}, "source": [ "In this tutorial, the neural network is trained for 3000 epochs with a learning rate of 0.001 (default in `PINN`). Training takes approximately 1 minute." @@ -149,17 +175,28 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, + "id": "0be8e7f5", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:546: UserWarning: Can't initialize NVML\n", + " warnings.warn(\"Can't initialize NVML\")\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", + "Missing logger folder: /u/n/ndemo/PINA/tutorials/tutorial3/lightning_logs\n", + "2023-10-17 10:24:02.163746: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2023-10-17 10:24:02.218849: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-10-17 10:24:07.063047: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "/opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0)\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -173,11 +210,18 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 2999: : 1it [00:00, 79.33it/s, v_num=5, mean_loss=0.00119, D_loss=0.00542, t0_loss=0.0017, gamma1_loss=0.000, gamma2_loss=0.000, gamma3_loss=0.000, gamma4_loss=0.000] " - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "4ce601ec7f9f4661be3c4d4fe789baa1", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", @@ -185,13 +229,6 @@ "text": [ "`Trainer.fit` stopped: `max_epochs=3000` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 2999: : 1it [00:00, 68.62it/s, v_num=5, mean_loss=0.00119, D_loss=0.00542, t0_loss=0.0017, gamma1_loss=0.000, gamma2_loss=0.000, gamma3_loss=0.000, gamma4_loss=0.000]\n" - ] } ], "source": [ @@ -203,6 +240,7 @@ }, { "cell_type": "markdown", + "id": "c2a5c405", "metadata": {}, "source": [ "Notice that the loss on the boundaries of the spatial domain is exactly zero, as expected! After the training is completed one can now plot some results using the `Plotter` class of **PINA**." @@ -210,12 +248,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 5, + "id": "c086c05f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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hYeGXC0hOVmFhoaqqqqI+59xzz9XGjRvDRe69997TqlWrdPnll3ej2fbgGnYEXV5n2rZz+ksin2HEy+91zW5uhzRuh1RwF9sfiERNM5tp39NhPS9vY9PDfQRDajwzHzhwQC0tLcrOzo6Ynp2drW3btkV9zre+9S0dOHBA559/vkKhkI4eParvfve7nZ420NTUpKampvC/Gxoa4mmmZ5h2EPDyARVfOjS8Vb13cP8rIBZO1LWg1DSnEU5B+mI/SK9x5/vUoVOS1Pv9kO2vUz88XVk7mrqeEYEX9L6aaX2rY9HPCo62bU1/DIif7Z+aNWvW6OGHH9YvfvELbdq0SS+++KJefvllPfjggx0+Z/78+crKygo/Bg8ebHczA4+i6S8mbU+TvywCiYi3rvm1prk5epJwEsdifwASR1/NfiZ9L4dzvLjd6bfBbXGNoOzXr59SUlJUV1cXMb2urk45OTlRn3P//ffrxhtv1Le//W1J0pgxY9TY2KhbbrlF9913n5KT22eks2bNUllZWfjfDQ0Nvit8Jn34vXjwRNcYSQl0zYm65nRN8/v1J4McRuV9ZX+nf9+1p79DLTGPWyMpnRpFCcSCvpp56GcFG/0xID5xBZRpaWmaMGGCKisrVVxcLElqbW1VZWWlSktLoz7n008/bVfYUlJSJEmhUPQvdOnp6UpPd7aDFdRr11E0/c2UUww+GZGmvtudCRU+Gz1IPbZ84MhrwfucqGtu1DS7uTV60s/hZFfho5XL8GuQ6ebp3oAJ/NxX64pJgz/a0M+C5L2Q0sl+G3C8uAJKSSorK9NNN92kiRMnatKkSVq4cKEaGxtVUlIiSZo2bZoGDRqk+fPnS5KuvPJKLViwQF/96leVn5+vd999V/fff7+uvPLKcPELGlMKKEUzOLxWGAEnUde8wU/hpBVhpJWv76fA0o2Q0olRlFyHErGippmBfhaORV8MiE3cAeWUKVO0f/9+zZkzR7W1tRo/frwqKirCF2OuqamJ+BVu9uzZSkpK0uzZs/XBBx+of//+uvLKK/Uf//Ef1q0F4kLBDCa3CyO/xsFU1LX4uDF60uvhpNuBZFf8FlgykhJBRk1zH30tRON2Xywe9NvglqRQR2P3DdLQ0KCsrCwV5n5Hqcn2fOF06hRvt0dPUjDhZmF0qtDZdYr30dZm/Xnvr1RfX6/MzMxuLavtuFa69hql9zrBohZ+oenw53ry/D9a0k5Yr23bf+38OUpNzbB8+XZfg9LpgNKr4aTpoWSsvBpWuhFQ2j2K0o4RlEePHtHf187rdr1oO67Nfu0yZVhc044c/lwPnfMqNc1gbdv/vEvm2lLXuuJ2/+p49LfQGa+ElF4NKI8ePaJ/VM61rK7RV3OWNz4dNgvq9ScRTG5+aTLtCyTgN4ST7sr7yv7wwy+8uk5e23cA+APhJLrilX2EfhvcQEDpILc/5F45GALdxY8OgPd5KWDyYoCXCK+FlU7vQ27dPAqAGehrIVbsK0B0BJQBwUEQx2IUJYB4Eb6056WwzmpeWXcvBd1dsXuENOBFpnyvpK+FeHlhnzHl84XgIKB0iJsfbi8c/OA89gsApjI9VPJKOOcEL7wXpu9PAIBgoj8GRIr7Lt7wliAd9HoNrbd0eYd3Zlm6PBO5dTc57gwHoCMmh0mmB3FuantvvHpTHascOiXJ9pvlADBLUPpbVve1jhWEfldHTL+7N/02OCnwAaUT16pza/SkX4ulncUxltfxWwE1vSgCiI2dp386dXq3qeEkwWTs8r6y38iQsmlIsyt39gbgb37tb0nO9bk6ei2/9bk6Q38M+ELgA0q/8lOxdLI4xuLY9vilcPqxKH42epB6bPnA7WYA8DCCycSYOprSqZCSUZSAM7g+nrVM7nNJ/ul3dcSP/TEgXgSUMJJpBbIjQSucVuJ0AcAbgjp6knCy+0wNKgHACn4YEOKVPpfkz0EiXkG/DU4hoLSZG7/sebVYeqlAdqRtHbxYNPnVDoBbTAonCSatZ9Jp314/1bt+eLqydjS53Qwg8Lza32rj9X6XX8NK+mMIOvZ+n/Fisew1tN7zRfJ4bevktfVyev/h1BwAJiGctI9Jd/t2IhB3auQxAMTDi/2TrvhtnUztz9NvgxMIKG3k9IfY1INZR/xWTDoSlPUE4D9OhCymjJ40JTzzO95nAFZwMyzxWp9LCkZ/xE/r6MV9DLBCoE/xduIO3mjPL4UjXl45/ZtTCwDvsfMO3n5HYOY8E0759vqp3gAQiyD2u7zS5wLQHimET3jhVxY//arVHV54H5zcn+z8BZwfIQCzuT16knDSPUF47znN212LFi1SXl6eMjIylJ+frw0bNnQ470UXXaSkpKR2jyuuuCI8z80339zu75MnT3ZiVWAQL/S5JG/0N+zm9ffAxH2N07xhNwJKmzj54TXx4HUsrxcHu/CeADCZ3eEK4STc3gZu74Owz/Lly1VWVqby8nJt2rRJ48aNU1FRkfbt2xd1/hdffFF79+4NP7Zs2aKUlBRdd911EfNNnjw5Yr7f/e53TqwODGF6n0ui3xWNl98TL+xzgJUIKGErrxYDp5hcMCmIAPzK7WAMX3L75jmElP60YMECzZgxQyUlJTrjjDO0ePFi9ezZU0uXLo06/0knnaScnJzwY/Xq1erZs2e7gDI9PT1ivr59+zqxOjgOo7iiM7VPYQqT+12doU+GICGg9DhTD1heLQBuMfW9cmr/4osmECxuhkKEk2by63axYyQy15ztXHNzszZu3KjCwsLwtOTkZBUWFqqqqiqmZTz99NO6/vrrdeKJJ0ZMX7NmjQYMGKARI0bo1ltv1UcffWRp22EuU/tcbUztS5iIfmr30G+DnQgobRD0Dy0H/MRQLAHAXn4NwfzCre3DKEpvaGhoiHg0NTVFne/AgQNqaWlRdnZ2xPTs7GzV1tZ2+TobNmzQli1b9O1vfzti+uTJk/Wb3/xGlZWV+vGPf6y//e1v+vrXv66WlpbEVwroJvoPifPS+2Z6QA5YJdB38fY60w5UXjrIm6zX0Hqj7jrHXb2B4LHz+pNuhUGEk95gwh2+kbi/1p2u1MPWjvA82tgk6VUNHjw4Ynp5ebnmzp1r6WtJX4yeHDNmjCZNmhQx/frrrw///5gxYzR27FgNHz5ca9as0SWXXGJ5O2AO0/pcbeh7dZ+X7vhtUp/skxFp6rudH/dgPTP2cBd4/e6+phVKCqS1gvh+Bn3kMZAoTvfsGuGkt7ixvewMzrmbtzV2796t+vr68GPWrFlR5+vXr59SUlJUV1cXMb2urk45OTmdvkZjY6OWLVum6dOnd9meYcOGqV+/fnr33XdjXwl0G98XvxDEvoKdeD8BMwQ2oLRLEIsmB3R7mHTKhmmBeDy8/mME4CdujJ4knPQmthuOl5mZGfFIT4/+40xaWpomTJigysrK8LTW1lZVVlaqoKCg09dYsWKFmpqa9G//9m9dtmfPnj366KOPlJubG9+KwFNM/A5sSv/Ab7zwvpq4PwJWIqD0IJMOTF44kHsd7zEAJ/lptBchF+LBtSj9o6ysTEuWLNGzzz6rrVu36tZbb1VjY6NKSkokSdOmTYs6AvPpp59WcXGxTj755Ijphw8f1l133aXXXntNu3btUmVlpa6++mqdeuqpKioqcmSdAJMGL/iVF95jU7KAIA7Mgv24BiUSZvrB209MuC6lSdc9AeA9Toc/hJPex/UokagpU6Zo//79mjNnjmprazV+/HhVVFSEb5xTU1Oj5OTI7zTbt2/X2rVr9eqrr7ZbXkpKit544w09++yzOnjwoAYOHKjLLrtMDz74YIcjOQEr0e9ylgl9LyCICCg9xoRfTCiQ7ghCoeSCywCsQDjpH06HlE1DmpVeY/2okEOnJKn3+yHLllc/PF1ZO6LfxRpfKC0tVWlpadS/rVmzpt20ESNGKBSKvo169OihV155xcrmwQNM6HdJ9L3cYnLfi4Ej8Cv2agsFYZgzBdJdbr//pnxRAwAEB4EzACkYfa3juf3dP+h4/wFnEVB6iNvhEAdoM7AdANjFrutPOnl6N2GWP7FdATjJ7X4XzGFq38uEfTSIPxrAXoEMKLmrb/xMPTAHlZvbw4RiCADREGLBCtwsB4AJ6H+Zw9Sb59Avg99wDUqP4OCD45l8XZTu4DqUQOzqh5t/cwanwh4/hZOX5myzfJmra0davkynef2mOVZfhxKAPUzod5kYhsG//S/AFASUFvHz8GYKpLncKpJeuzDzZ6MHqceWD9xuBgBEZUcg2dVreDWwdCqktOtmOQDQFfpeZjMtpHS7X8bgEliJgBKdokACQDDYcf1JRk92zIlQMtbX91pY6fWRlADQEfpe3mBaSAn4hXeGQAWYW6cZUCC9wa3tZMLpL7DOokWLlJeXp4yMDOXn52vDhg0dznvRRRcpKSmp3eOKK64Iz3PzzTe3+/vkyZOdWBUEjJfCyUtztoUfJjG1XQDQxqmz1dz8fkvfy1tM2l70y4Ihnv6aJK1YsUIjR45URkaGxowZo1WrVrWbZ+vWrbrqqquUlZWlE088UWeffbZqamrCfz9y5Ihuu+02nXzyyerVq5euvfZa1dXVWb5ubQgoEZVJB1x0zW/by8+XTDDR8uXLVVZWpvLycm3atEnjxo1TUVGR9u3bF3X+F198UXv37g0/tmzZopSUFF133XUR802ePDlivt/97ndOrA5gHC+Ff15pqxPBtB0jgO0YqQwAcIff+mCJou9mv3j7a+vWrdPUqVM1ffp0bd68WcXFxSouLtaWLVvC8+zYsUPnn3++Ro4cqTVr1uiNN97Q/fffr4yMjPA8M2fO1P/8z/9oxYoV+tvf/qYPP/xQ3/jGN2xbTwJKC9j5gXTj1xAOtN7EdkOiFixYoBkzZqikpERnnHGGFi9erJ49e2rp0qVR5z/ppJOUk5MTfqxevVo9e/ZsF1Cmp6dHzNe3b18nVgeGcOL0btNHT3ol7IvGC203ffvbzQs3yQIQG77Ho7sYRelv8fbXnnjiCU2ePFl33XWXRo0apQcffFBnnXWWnnzyyfA89913ny6//HI9+uij+upXv6rhw4frqquu0oABAyRJ9fX1evrpp7VgwQL9y7/8iyZMmKD//M//1Lp16/Taa6/Zsp4ElAASRiE0W0NDQ8Sjqamp3TzNzc3auHGjCgsLw9OSk5NVWFioqqqqmF7n6aef1vXXX68TTzwxYvqaNWs0YMAAjRgxQrfeeqs++uij7q0QcAyTwykvhHux8tO6JMKp66gCcB+X1UIi2H5IVCx9NSmx/lpVVVXE/JJUVFQUnr+1tVUvv/yyTj/9dBUVFWnAgAHKz8/XypUrw/Nv3LhRn3/+ecRyRo4cqSFDhsTcT4wXN8kxGKMnES8u2Ow9f9lzmlJ6WjsKpuXTL4rb4MGDI6aXl5dr7ty5EdMOHDiglpYWZWdnR0zPzs7Wtm1dhxIbNmzQli1b9PTTT0dMnzx5sr7xjW9o6NCh2rFjh+699159/etfV1VVlVJSUhJYK9iJ006t4ecg79KcbUbeTIcb5gDwMvpe/mBKH8ztO3r7kdt9NSmx/lptbW3U+WtrayVJ+/bt0+HDh/XII4/ooYce0o9//GNVVFToG9/4hv7617/qwgsvVG1trdLS0tSnT58Ol2O1wAWUn40e5HYTjEWB9AenC6RdhfCTEWnqu52RK92xe/duZWZmhv+dnm796YBPP/20xowZo0mTJkVMv/7668P/P2bMGI0dO1bDhw/XmjVrdMkll1jeDpjF7lFnJo6e9HM42aZtHU0MKgEAcJMpIaVb6LvFz4m+WkdaW78YDHf11Vdr5syZkqTx48dr3bp1Wrx4sS688ELH2nIs4vVu8ssFYQkn/YXtCUnKzMyMeEQrev369VNKSkq7u7HV1dUpJyen0+U3NjZq2bJlmj59epdtGTZsmPr166d33303vpUADBfEU6BNW1+7A2urA3dGLAPxcaK/xZlrsIIJ25RLcHlHLH01KbH+Wk5OTqfz9+vXT6mpqTrjjDMi5hk1alT4Lt45OTlqbm7WwYMHY37d7iKgNBQHFgBOSEtL04QJE1RZWRme1traqsrKShUUFHT63BUrVqipqUn/9m//1uXr7NmzRx999JFyc3O73WZ8Iag3yDBp9KRpQZ2TghjMAoBVTAiyYA+2LayWSH+toKAgYn5JWr16dXj+tLQ0nX322dq+fXvEPG+//bZOOeUUSdKECRN0wgknRCxn+/btqqmp6bKfmKjAneKN9jiI+pOTpxl44Xonn40epB5bPnC7GUYqKyvTTTfdpIkTJ2rSpElauHChGhsbVVJSIkmaNm2aBg0apPnz50c87+mnn1ZxcbFOPvnkiOmHDx/WAw88oGuvvVY5OTnasWOH7r77bp166qkqKipybL3gjiDcVIRg7kumXJuSa1ECAEzh9uneXuibIT7x9tfuuOMOXXjhhXr88cd1xRVXaNmyZXr99df11FNPhZd51113acqUKfra176miy++WBUVFfqf//kfrVmzRpKUlZWl6dOnq6ysTCeddJIyMzN1++23q6CgQOecc44t60lACQABN2XKFO3fv19z5sxRbW2txo8fr4qKivCFlWtqapScHPklZ/v27Vq7dq1effXVdstLSUnRG2+8oWeffVYHDx7UwIEDddlll+nBBx909NoqiI2XTjc1YfQk4WR7QQgpm4Y0K73GH5f1ARDJ6TPXGBwCv+I6lPaJt7927rnn6vnnn9fs2bN177336rTTTtPKlSs1evTo8DzXXHONFi9erPnz5+v73/++RowYoT/84Q86//zzw/P89Kc/VXJysq699lo1NTWpqKhIv/jFL2xbTwJKAzlZJCmQ/ub2r3fdRZFzTmlpqUpLS6P+re1XtGONGDFCoVAo6vw9evTQK6+8YmXzAMJJw5kSUgIAnHfZkO1dz3ScV2tG2NASc7jdD2MUpf/E21+77rrrdN1113W6zH//93/Xv//7v3f494yMDC1atEiLFi2Kq62JIqDsBq/fIMdv4WQihbEjfiqYThVHiiAAP5/eTTjZNRPu8u2VU70PnZKk3u9H/5EHgH/5of9lVZ8r2nL81AeT3A8pAa8hoISnWRlKdrZcvxVLAPASt0dPEk7Gh9GUALyCM9diY1efq6vX8UMfjJASiB0BpWGcKpIUyMRf04uFksIIAIkhnEyMH0NKE69DWT88XVk7mtxuBmAbr5+x5mVu9Lk6a4MX+2Buc+MMNy7Rhe4goIQnmFAg27S1hSLZHqd5A95i5Q1y/Hh6N+Fk97gVUnrlNG8AweGlwSEm9buO5eU+GINFgNiQJASQ1wqkyUXS1LZF46XtDgBt3Dq9m3DSGryPAOANXunbeKWdx3OrL+b0XeqB7gjUCMrPRg+ybFl2nG7AweNLXio6Xv41zws4TQCA0wjVvM+uUZQmnuYNIDFcWusLXup3HYs+GOA/jKAMGNMLpOTtIml6272w/QGgjRujJwknrcd7Gp2Vl1gAgESY3neJhRf6YG0YRQl0joASxvBScemMH9ahOyiAQPD45fqTBGn2ceO9dfvu7wBg6uAAv/S7juWVdTJ1n7ASN7dCoggoDeFEqGPywdALxSQeJq+PyfsBgNjUD093uwm2I1zyHwJgAKYI8g/qJvdTrOD39QP8jIASrvNrEfHKr3hBYuV1aAH4C+GZM5x+n+0Iuv0yYhiAvUwcFBCUvonp/TA39o0gh/LwDgLKgDC1QJpcOKxi4jqauD8AcBbXv/sS4SQAmIfTRK0TlH7X8UxeZ/pjQHsElAmgWHafycXCDkFbX6t/oeMzB5jLjtFkTp7eTTjpPN5zAHBO0PohxwtqOAt4EQGlAewebm3arzNBLRCmrbdp+wUAIDicDCm5nimAYwXp2v+m9T/cZOJ74fR+4uRp3gwwQSIIKOEoEwuDk4K+/gDQFUZPwgusGjnMpRYA2IV+R3u8J4DZCCh9zpRf7yQKQhveBwBwH+Gk+9gGAPzIhP4X/Y2Omfbe+HkUJRAvAko4wrRC4DZT3g87CyLFD/A/7maM7nIqpOQ0bwBBYUo/w2S8R4CZCChdFoQQhwIQHe8LAERyKkRi5B78pH54uttNAPD/c3v0JP2L2Jn0Xrm93wCmIKD0MRMOdCYd+E3E+wPADVz3DiYhMAbgFD8PDqFfEb+gvmdOfQ64UQ7iFZiA8rPRgyxZDh+y2AX1gB8vt98nE4LsWPDZA2AFwjAzObFdrB6hyyUOAMD73O6LtfFKnwywU2ACyqDhAAcT+PlXagDWcuL0bsJJAIBd3Ox/mRKyeRXvH2AGAkrYgoN8fNx+vwi0AcSL0WOwGgEygDacORM7t/sRfmHC++hkn4yBJDARAaWL/HpQMOHg7kW8bwBgH8IvSGbezZtrwgJIFP0Ha/F+Au4ioPQhTi/wLt4/AECQESQDsIudg0Pc6H/Rb7CH2++r385sYzQ04kFACUCS/4ohAO+we1QboRfswqUOAMB/3A4pgaAioIRlOJBbw2/vo18vZQC4pX54uttNAGxld6Bs4mneABAPv/UXTOTme+zUwBH6aTANAaXPuDUKjiJpLd5P+3w2epDbTQBcFbTr3fl19OQ3MzeFHwAA9zjd/6KfAMCvUt1ugJdYef0Efq0A4vfJiDT13c7pdIDbrDytldFsHYs1fOxovhcazrKyOY66NGebVteOdLsZAIAAu2zIdr1aM8KV1+41tF6Hd2a58tqAWwgo0W38imcPNwoihRCAn3hx9KSVIyKPXZaXw0oA6C6/DA6h3+U8N0NKJxwa3qreOzixFmZgTwQAAHCZ3adrc0p4JEbuArACN5kMBreCYb/sX9zJG7EioPQRNw5g/IpnL95fAPA3N0JDr4SUXhkBy528ATiBfgEAvyOgBBDBjqDbL6fVALCWnaPYTA+33B7N6PbrI1LQbl7lhEWLFikvL08ZGRnKz8/Xhg0bOp3/4MGDuu2225Sbm6v09HSdfvrpWrVqVbeWCcA/GEUJ2I+A0gV+CWv4Fc8ZvM8A4C8mBYOmB5WmB80w0/Lly1VWVqby8nJt2rRJ48aNU1FRkfbt2xd1/ubmZl166aXatWuXXnjhBW3fvl1LlizRoEGDEl4mEsfpoO3RHzCDX7eDX/IJeB8BpU/wywoAwAleOJ3V5FDL1DDQ1HbZietQ+teCBQs0Y8YMlZSU6IwzztDixYvVs2dPLV26NOr8S5cu1ccff6yVK1fqvPPOU15eni688EKNGzcu4WXC/5zqf/k1FPMqtgdgHwJKJIQDs7N4vwHA20wfqSgFM6SE/zQ3N2vjxo0qLCwMT0tOTlZhYaGqqqqiPudPf/qTCgoKdNtttyk7O1ujR4/Www8/rJaWloSXCXMwOgxex2AkBAUBJYB2KIIA7Bak0WteCv5MbKvJI2LhnIaGhohHU1NT1PkOHDiglpYWZWdnR0zPzs5WbW1t1Oe89957euGFF9TS0qJVq1bp/vvv1+OPP66HHnoo4WUCVmCQgpn8uF0I8mGCVLcbAO/x4wHZCy4bsl2v1oxwuxkAPCwIN+IwLcwyMfDryjczN+mFhrPcboanNA1pVnqNe9fNqx+erqwd0QM7J9V82E/JPTIsXWbrZ0ckSYMHD46YXl5errlz51rzGq2tGjBggJ566imlpKRowoQJ+uCDD/STn/xE5eXllrwG/IUf8+G0XkPrdXhnltvNSNgnI9LUd7v5lwmCuwgoY2TyxZopkPCCQ8Nb1XsHg7YBBIcXw8k2hJQwze7du5WZmRn+d3p6etT5+vXrp5SUFNXV1UVMr6urU05OTtTn5Obm6oQTTlBKSkp42qhRo1RbW6vm5uaElgnA3xg8AliPtMBhXh86zehJd/H+m/1jAQC08XI42cakdbBrZGyQLjXgdZmZmRGPjgLKtLQ0TZgwQZWVleFpra2tqqysVEFBQdTnnHfeeXr33XfV2vrl9/S3335bubm5SktLS2iZQHfxvd98bCPAWoEIKD8bPcjtJgCew8hcAF5jyundJgV73eWndUFwlJWVacmSJXr22We1detW3XrrrWpsbFRJSYkkadq0aZo1a1Z4/ltvvVUff/yx7rjjDr399tt6+eWX9fDDD+u2226LeZkAYDe7+2deH0wF7+MUb8SMX4gAINiahlhz7SA/j1rzY6DH6d7wmilTpmj//v2aM2eOamtrNX78eFVUVIRvclNTU6Pk5C/HaQwePFivvPKKZs6cqbFjx2rQoEG644479KMf/SjmZSI4nPgRn36Xd3CqN2AdAkrAYyiCAACnmRBSXpqzTatrR7raBnhHaWmpSktLo/5tzZo17aYVFBTotddeS3iZMBMjwgDAOwJxirefcRouAABmnN7tx9GTx/L7+rnt0ClJbjcBgAEYPek9Tm4z+v/ws4QCykWLFikvL08ZGRnKz8/Xhg0bOp3/4MGDuu2225Sbm6v09HSdfvrpWrVqVUINhjsolGZhewDWoq6huwjvvMvPlxxAMFHT4JYb+65L6AFz2DnqmJudoitxn+K9fPlylZWVafHixcrPz9fChQtVVFSk7du3a8CAAe3mb25u1qWXXqoBAwbohRde0KBBg/T++++rT58+VrQfgI16Da3X4Z1ZbjcDsBV1DYid26d6m3yad9OQZqXX0PmCu6hpcJoVAeOxy3juk3O7vTw3cBkuoPviDigXLFigGTNmhO9Yt3jxYr388staunSp7rnnnnbzL126VB9//LHWrVunE044QZKUl5fXvVYD8KRDw1vVewdXloBZqGvO8uNotaCNnnQ7pATQMWqavew+vdZLZ0nZNfLRD2Gl3RhEAr+KKylobm7Wxo0bVVhY+OUCkpNVWFioqqqqqM/505/+pIKCAt12223Kzs7W6NGj9fDDD6ulpaXD12lqalJDQ0PEww+8epFmLxXKIGG7AN3nRF3za00ziZvXnwxaOAnAXPTV4AQnT8v22ing9M+A7okroDxw4IBaWlqUnZ0dMT07O1u1tbVRn/Pee+/phRdeUEtLi1atWqX7779fjz/+uB566KEOX2f+/PnKysoKPwYPHhxPMwODC+QCQPc4UdeoafAjglnAPH7oq3GNOnO5GRZ6LagEkBjbz7VsbW3VgAED9NRTT2nChAmaMmWK7rvvPi1evLjD58yaNUv19fXhx+7du+1uJgAAMYm3rvmlpjUNaXa7CcYhpHOHHSNm/XjpASAW9NXMYfLoO1PCQVPa0RmntqOdg5W8euYnvC+ua1D269dPKSkpqquri5heV1ennJycqM/Jzc3VCSecoJSUlPC0UaNGqba2Vs3NzUpLa/8rWXp6utLT0+Npmq2C/EueyYUSALrLibpmZU2rH25ObQS4FiVglqD21TpCyGIN00LBtvZwfUrAf+IaQZmWlqYJEyaosrIyPK21tVWVlZUqKCiI+pzzzjtP7777rlpbvywQb7/9tnJzc6MWPACxcyJA5lIC8LMg1bVDpyS53QRbuHX9SUZPAjBNkGqaG4L2ndj006pNbhuDfIDExH2Kd1lZmZYsWaJnn31WW7du1a233qrGxsbwneKmTZumWbNmhee/9dZb9fHHH+uOO+7Q22+/rZdfflkPP/ywbrvtNuvWAgDi8NnoQW43AQahrgGJI6gFzEJN8ybTAi2Tw79jeaWddvFiaB7ks1PRtbhO8ZakKVOmaP/+/ZozZ45qa2s1fvx4VVRUhC/GXFNTo+TkL3PPwYMH65VXXtHMmTM1duxYDRo0SHfccYd+9KMfWbcWAeTEwci0Qgm0+WREmvpu53p4sAZ1zTl+uc4foZz7Ls3ZptW1I91uBmAcahq6y2uh34191xl5uvdlQ7br1ZoRbjcD8JS4A0pJKi0tVWlpadS/rVmzpt20goICvfbaa4m8FIAuUPyA7qOuAYnjWpRfahrSrPQaRofAXdQ0JMpr4WQbU0NKLzs0vFW9d9h+T2UgAnscAEdxwXIAVnHj+pOMngQAWImz1qxhYrjKtgXiQ0DpEEIZAADgV34Ibv1yCQIASISJAV+8/LAO8fLidSiBjhBQIip+7QGCZdGiRcrLy1NGRoby8/O1YcOGTuc/ePCgbrvtNuXm5io9PV2nn366Vq1a1a1lAqbzQwgHAIif30MgPwV7floX4Fjx9q1WrFihkSNHKiMjQ2PGjGnXVzvWd7/7XSUlJWnhwoUR0/Py8pSUlBTxeOSRR6xYnagIKAF0ye9fyoJu+fLlKisrU3l5uTZt2qRx48apqKhI+/btizp/c3OzLr30Uu3atUsvvPCCtm/friVLlmjQoEEJLxOA9zkd4Lpxij8AWMmEQSF+DPRMWicTtjG8L96+1bp16zR16lRNnz5dmzdvVnFxsYqLi7Vly5Z28/7xj3/Ua6+9poEDB0Zd1rx587R3797w4/bbb7d03Y5FQAn4AIUP3bFgwQLNmDFDJSUlOuOMM7R48WL17NlTS5cujTr/0qVL9fHHH2vlypU677zzlJeXpwsvvFDjxo1LeJkAAOnQKUluNwFAgJgU5FnNz+t2PLsGk3CZOnPE27d64oknNHnyZN11110aNWqUHnzwQZ111ll68sknI+b74IMPdPvtt+u3v/2tTjjhhKjL6t27t3JycsKPE0880fL1a0NACQA+1dDQEPFoampqN09zc7M2btyowsLC8LTk5GQVFhaqqqoq6nL/9Kc/qaCgQLfddpuys7M1evRoPfzww2ppaUl4mTBb05Dmbi/D6uv7OT16jtO7AcA7CFYgmRNSMpgE0cTSV5MS61tVVVVFzC9JRUVFEfO3trbqxhtv1F133aUzzzyzw3Y+8sgjOvnkk/XVr35VP/nJT3T06NF4VjMuqbYtGbbhdFvAPxrfz1RyRoaly2w9ckSSNHjw4Ijp5eXlmjt3bsS0AwcOqKWlRdnZ2RHTs7OztW1b9ADovffe01/+8hfdcMMNWrVqld59911973vf0+eff67y8vKElgnAH76ZuUkvNJzldjMAAF0wJbyz24191+m5T851uxk4xicj0tR3e/d//HaC2301KbH+Wm1tbdT5a2trw//+8Y9/rNTUVH3/+9/vsK3f//73ddZZZ+mkk07SunXrNGvWLO3du1cLFizodB0TRUCJdviFB/CH3bt3KzMzM/zv9PR0S5bb2tqqAQMG6KmnnlJKSoomTJigDz74QD/5yU9UXl5uyWsAAAD4GX0uINjs6qvFYuPGjXriiSe0adMmJSV1fHmZsrKy8P+PHTtWaWlp+s53vqP58+fb0l5O8QYAn8rMzIx4RCsi/fr1U0pKiurq6iKm19XVKScnJ+pyc3NzdfrppyslJSU8bdSoUaqtrVVzc3NCywRMxund5uJGOQDs5sez14IyerKNCetrdyDtx/3U72Lpq0mJ9ddycnI6nf9///d/tW/fPg0ZMkSpqalKTU3V+++/rx/84AfKy8vrsM35+fk6evSodu3aFfuKxoGAEoFwY9917R5+w6+wSERaWpomTJigysrK8LTW1lZVVlaqoKAg6nPOO+88vfvuu2pt/fL6Tm+//bZyc3OVlpaW0DIB+AeBLgCYy4/9oFgEdb3hfYn0rQoKCiLml6TVq1eH57/xxhv1xhtvqLq6OvwYOHCg7rrrLr3yyisdtqW6ulrJyckaMGCABWvWHqd4w7e6KkLH/p3rkiDIysrKdNNNN2nixImaNGmSFi5cqMbGRpWUlEiSpk2bpkGDBmn+/PmSpFtvvVVPPvmk7rjjDt1+++1655139PDDD0dcv6SrZQKAifK+sl+79vR3uxkAABjh0PBW9d7BuDa3xdtfu+OOO3ThhRfq8ccf1xVXXKFly5bp9ddf11NPPSVJOvnkk3XyySdHvMYJJ5ygnJwcjRgxQtIXN9pZv369Lr74YvXu3VtVVVWaOXOm/u3f/k19+/a1ZT0JKOE7ifw61vYcgkoE0ZQpU7R//37NmTNHtbW1Gj9+vCoqKsIXVq6pqVFy8pdfTAYPHqxXXnlFM2fO1NixYzVo0CDdcccd+tGPfhTzMgGvYDQgAMAvgj6K0O0b5lw2ZLterRnh2uvDu+Ltr5177rl6/vnnNXv2bN1777067bTTtHLlSo0ePTrm10xPT9eyZcs0d+5cNTU1aejQoZo5c2bEdSmtRkCJCF4/Tbi7RdftomWyXkPrdXhnltvNgE1KS0tVWloa9W9r1qxpN62goECvvfZawssEuoPrDsJkTUOalV6T5nYzABjM630uL/Nzf4/+mr/F21+77rrrdN1118W8/OOvK3nWWWd12d+zGmN14RtW/SIY9F8WAQDoLkaeAoBZ6OMAMB0BpQMODW/teiZ0i9UFlwIOAAAAAP7jZl+P0bNAxwgou/DJCLNO0ek1tN7tJhjHrgLjxZDSKwWP0B6AFzAKEAAAAHAGASU8ze4Q0YshJQCYJu8r+91uAnyMa5IC/mDawBDJP4ND6NO0x3sSOzsGl5j4eYf7CCgBAPC5Q6ckud0EBBAjUAGgPa+c8QT72LkP+CVURzARUMKznPrVi1/XAACA6eqHp7vdBMAIXEooEn2ZjvHeAGYhoESYl37No5gAAAAAAAD4AwElEAMCUQAwg1PXG+T0ZAAA/I9+HmAOAkoAAAAAAHyG8M1cXjp7EXAKASU8x61CS4EHAAAAAH/xWz+PG+XAqwgoAQBAh5qGNLvdBHgYp8oDAOB93HwKTvB9QPnZ6EFuNwEW8tuvWwAAwCx5X9nvdhMA+JSTp/XSb4oP7xfgPt8HlICVKFwAAAAAgO7iOpRAJAJKwGcodAAAAAAAwEsIKAEAAI7BdRO959KcbW43AQDgcX46W44b5cCLCCjhGX4qGOi+T0akud0EAAAA+JSXAx76TfAC+nM4HgElAAAAAACAw7g8F/AlAkogTvwiCQAAAAD+Q18PcA8BJQAAAAAAADp0aHir202AzxFQAgAAAAAAAHANASUAAAAAADZy6lqDnKLcfbyHgDsIKAHEzMt3MwQAuOObmZvcbgIAAMayK7ym7wavIaAEAAAA4CuLFi1SXl6eMjIylJ+frw0bNsT0vGXLlikpKUnFxcUR02+++WYlJSVFPCZPnmxDywEACCYCSgAAAAC+sXz5cpWVlam8vFybNm3SuHHjVFRUpH379nX6vF27dumHP/yhLrjggqh/nzx5svbu3Rt+/O53v7Oj+QAABBIBJSQ5d00UAAAAwE4LFizQjBkzVFJSojPOOEOLFy9Wz549tXTp0g6f09LSohtuuEEPPPCAhg0bFnWe9PR05eTkhB99+/a1axUAuIzrUALOI6AEELPDO7PcbgIAAAighoaGiEdTU1PU+Zqbm7Vx40YVFhaGpyUnJ6uwsFBVVVUdLn/evHkaMGCApk+f3uE8a9as0YABAzRixAjdeuut+uijjxJfIQAAECHV7QbADK/WjGAUJQAAABKWtjtNKRlpli6z5UirJGnw4MER08vLyzV37tx28x84cEAtLS3Kzs6OmJ6dna1t27ZFfY21a9fq6aefVnV1dYftmDx5sr7xjW9o6NCh2rFjh+699159/etfV1VVlVJSUuJbKQAA0A4BJQAAAACj7d69W5mZmeF/p6enW7LcQ4cO6cYbb9SSJUvUr1+/Due7/vrrw/8/ZswYjR07VsOHD9eaNWt0ySWXWNIWoLs4Ldm7LhuyXa/WjHC7GV06NLxVvXdwIi7sQUAJAAAAwGiZmZkRAWVH+vXrp5SUFNXV1UVMr6urU05OTrv5d+zYoV27dunKK68MT2tt/WLUZmpqqrZv367hw4e3e96wYcPUr18/vfvuuwSUgE/d2HednvvkXLeb0S29htZzmS54BtE3AE/qu73Z7SYAAADDpKWlacKECaqsrAxPa21tVWVlpQoKCtrNP3LkSL355puqrq4OP6666ipdfPHFqq6ubndqeZs9e/boo48+Um5urm3rAgBAkDCCEgAAAIBvlJWV6aabbtLEiRM1adIkLVy4UI2NjSopKZEkTZs2TYMGDdL8+fOVkZGh0aNHRzy/T58+khSefvjwYT3wwAO69tprlZOTox07dujuu+/WqaeeqqKiIkfXDQAAvyKgBOLk9WH+AAAAfjZlyhTt379fc+bMUW1trcaPH6+KiorwjXNqamqUnBz7iWQpKSl644039Oyzz+rgwYMaOHCgLrvsMj344IOWXQsTAILokxFpnBmHMAJKAAAA2OaFhrPcbgICqLS0VKWlpVH/tmbNmk6f+8wzz0T8u0ePHnrllVcsahkAAIiGa1ACPuOFu78BAAAAgOm4MzrgHAJKeAanVgMAAAAA/OiyIdvdbgLgKgJKAAAAAAAAAK4hoATiwChOAAAAAAAAaxFQwlMICAEAAAAAAPyFgBIAAOAY3HUaAAD4Ra+h9W43AYiJ7wPKHls+cLsJ8AlGbwIAYKbVtSPdbgIAAAC6wfcBJfyHoBAAAAAA4IQb+65zuwlGOTS81e0mwKcIKIEYEIoCABAMu/b0d7sJAAAAgUNACU8iMAQAZ6TXpLndBHgY1/MEAABALAgoEfZqzQi3m2AkwlDr9d7BoQcAAAAAAHyBlACe5URw6LVwkpAZAAAAAAB4DQElPM1rASIAoHu4WzMAAPCry4Zsd7sJgGsIKIEOEH5GOrwzy+0mAIBjuHYiAAAA4BwCSnieHUEi4SQAAPCSrB1NbjcBAAAgYQSUXei7vdntJkRgFFt0VgaKhJMA/Kb3+yG3m4AAYhQqAAAAYkVA6QDuWOyM5z45t9vhIuEkAAAAAACAs0jOEMEPd4FOJGS0ItwEAES3a09/t5uQEEYAegM3TgIAAPC+VLcbANjh2LDxxr7rupzHD/wQLgMAAAAAgOAhoITv+S2IBAAAAAAA8BNO8QYAAIClgnx6fHpNmttNAAAA8BwCSgAA4ClOXnMwyEEbAMBbOHMMHek1tN7tJgBdIqAEAGjRokXKy8tTRkaG8vPztWHDhpiet2zZMiUlJam4uDhi+s0336ykpKSIx+TJk21oOQBYx6s3dAIAwKs+GcGZB7GIt7+2YsUKjRw5UhkZGRozZoxWrVoV8fe5c+dq5MiROvHEE9W3b18VFhZq/fr1EfN8/PHHuuGGG5SZmak+ffpo+vTpOnz4sOXr1oaAEu1wsxXvsXubHd6ZZevy4a7ly5errKxM5eXl2rRpk8aNG6eioiLt27ev0+ft2rVLP/zhD3XBBRdE/fvkyZO1d+/e8ON3v/udHc0HYBhGnQIAAFgn3v7aunXrNHXqVE2fPl2bN29WcXGxiouLtWXLlvA8p59+up588km9+eabWrt2rfLy8nTZZZdp//794XluuOEG/fOf/9Tq1av10ksv6e9//7tuueUW29aTgNKDCIsAWGnBggWaMWOGSkpKdMYZZ2jx4sXq2bOnli5d2uFzWlpadMMNN+iBBx7QsGHDos6Tnp6unJyc8KNv3752rQKAgHLydH8A6A4GgQBIVLz9tSeeeEKTJ0/WXXfdpVGjRunBBx/UWWedpSeffDI8z7e+9S0VFhZq2LBhOvPMM7VgwQI1NDTojTfekCRt3bpVFRUV+vWvf638/Hydf/75+vnPf65ly5bpww8/tGU9CSgBOKr3Dg47TmloaIh4NDU1tZunublZGzduVGFhYXhacnKyCgsLVVVV1eGy582bpwEDBmj69OkdzrNmzRoNGDBAI0aM0K233qqPPvqoeysEuIQRgQAAALBSLH01KbH+WlVVVcT8klRUVNTh/M3NzXrqqaeUlZWlcePGhZfRp08fTZw4MTxfYWGhkpOT250KbpVUW5YKADbqu725W8/vseUDi1rSfb3eS1ZKurWhbUvTF8sbPHhwxPTy8nLNnTs3YtqBAwfU0tKi7OzsiOnZ2dnatm1b1OWvXbtWTz/9tKqrqztsw+TJk/WNb3xDQ4cO1Y4dO3Tvvffq61//uqqqqpSSkhL/SgHwBMJcAH5xeGcWNxYBAs7tvpqUWH+ttrY26vy1tbUR01566SVdf/31+vTTT5Wbm6vVq1erX79+4WUMGDAgYv7U1FSddNJJ7ZZjFQJKRPVqzQhdNmS7281ADDhdBB3ZvXu3MjMzw/9OT0/v9jIPHTqkG2+8UUuWLAkXr2iuv/768P+PGTNGY8eO1fDhw7VmzRpdcskl3W4HnJVek6amId37YWDXnv7K+8r+rmeM0erakbo0J/qXMgAAAMBkdvTV4nXxxRerurpaBw4c0JIlS/Sv//qvWr9+fbtg0imcawkAPpWZmRnxiFb0+vXrp5SUFNXV1UVMr6urU05OTrv5d+zYoV27dunKK69UamqqUlNT9Zvf/EZ/+tOflJqaqh07dkRty7Bhw9SvXz+9++671qwc4DBGBsIJvd8Pud0EAB733Cfnut0EADGIpa8mxd9fk6ScnJyY5j/xxBN16qmn6pxzztHTTz+t1NRUPf300+FlHH8TnqNHj+rjjz/u8HW7i4DSIVx3D4CJ0tLSNGHCBFVWVoantba2qrKyUgUFBe3mHzlypN58801VV1eHH1dddVX417fjT1Vos2fPHn300UfKzc21bV0AuIsQFwCAYDg0vNXtJgRGvP01SSooKIiYX5JWr17d4fzHLrftWpgFBQU6ePCgNm7cGP77X/7yF7W2tio/Pz/R1ekUp3gD6BR3jfe/srIy3XTTTZo4caImTZqkhQsXqrGxUSUlJZKkadOmadCgQZo/f74yMjI0evToiOf36dNHksLTDx8+rAceeEDXXnutcnJytGPHDt1999069dRTVVRU5Oi6AVZ6oeEsfTNzk9vNwP+PO3gDAIAgiKe/Jkl33HGHLrzwQj3++OO64oortGzZMr3++ut66qmnJEmNjY36j//4D1111VXKzc3VgQMHtGjRIn3wwQe67rrrJEmjRo3S5MmTNWPGDC1evFiff/65SktLdf3112vgwIG2rCcBJTrEdSjNx/UnYYUpU6Zo//79mjNnjmprazV+/HhVVFSEL6xcU1Oj5OTYR4GnpKTojTfe0LPPPquDBw9q4MCBuuyyy/Tggw+6cm0VAIjFrj393W4CAMBAnDYPt8XbXzv33HP1/PPPa/bs2br33nt12mmnaeXKleEBJSkpKdq2bZueffZZHThwQCeffLLOPvts/e///q/OPPPM8HJ++9vfqrS0VJdccomSk5N17bXX6mc/+5lt60lA6VHcVQ6AlUpLS1VaWhr1b2vWrOn0uc8880zEv3v06KFXXnnFopYBHeNGOebg9G4AAAD7xNtfu+6668KjIY+XkZGhF198scvXPOmkk/T888/H1c7u4MKIAAAAMSKIQ2fSa9LcbgIAgzl19hMj/gB4EQEl4FGc3g0AMAGhLQCTcHNSAPCmhI7eixYtUl5enjIyMpSfn68NGzbE9Lxly5YpKSlJxcXFibysa/pub3a7Ca4hBIOV+MIIUwWtrrnFL9f4I5BzHzfIATpGTQMAeFHcacHy5ctVVlam8vJybdq0SePGjVNRUZH27dvX6fN27dqlH/7wh7rgggsSbiwAZ3EHbwQBdQ1IHGEtYBYv17QgDwoBACQQUC5YsEAzZsxQSUmJzjjjDC1evFg9e/bU0qVLO3xOS0uLbrjhBj3wwAMaNmxYtxqMLxEeBRcjWwHreKmuZe1oSvi5vd8PWdgSc7g1ko5gDoCJvFTTYC+uQ2kN3kfAOXEFlM3Nzdq4caMKCwu/XEBysgoLC1VVVdXh8+bNm6cBAwZo+vTpMb1OU1OTGhoaIh5wD2EYAL9yoq75paZx8w8cz08hrV8uP4Bgo69mPQaEwGn0vRFkcQWUBw4cUEtLi7KzsyOmZ2dnq7a2Nupz1q5dq6efflpLliyJ+XXmz5+vrKys8GPw4MHxNNNYXH8PAMziRF3za02DvwI6L+H6k0B09NW8gQAKAKKzNTE7dOiQbrzxRi1ZskT9+vWL+XmzZs1SfX19+LF7924bWwl4C19qAPckUteoaf4W1JAyqOsN+Al9Nf/j9GQAXpIaz8z9+vVTSkqK6urqIqbX1dUpJyen3fw7duzQrl27dOWVV4antba2fvHCqanavn27hg8f3u556enpSk9Pj6dpsNmrNSN02ZDtbjcDDjL1lBYuoA4rOVHXqGmRdu3pr7yv7Ld0matrR+rSnG2WLhMdI5wEzERfDQDgZXGNoExLS9OECRNUWVkZntba2qrKykoVFBS0m3/kyJF68803VV1dHX5cddVVuvjii1VdXc3pABYwNUQCjsclDmAi6hqsQGAHwATUNMBajEAFnBXXCEpJKisr00033aSJEydq0qRJWrhwoRobG1VSUiJJmjZtmgYNGqT58+crIyNDo0ePjnh+nz59JKnddJiPUZTu4/RuwHrUNVjhhYaz9M3MTW43w3Zuh7EmX3+SG0nBBNQ0HO+5T87VjX3Xud0MuIyBTfCCuAPKKVOmaP/+/ZozZ45qa2s1fvx4VVRUhC/GXFNTo+RkRkoBALyBuuYPnOZtP7fDSbuYcgfv3u+H3G4CfICaBgDwqrgDSkkqLS1VaWlp1L+tWbOm0+c+88wzibwkEHhOjp7kFzYEDXUNVvDzKEq/hpOAH1HTzMeZaQDQXiB+Puux5QO3mxDm9evwcYoxAKC7TBmxZgeCPPuYfHo3AP/yww/3XEsxfrxngPO8nZZBkj+KJjpHMAzABKZfY8+UAMtvIaXf1gfBsGjRIuXl5SkjI0P5+fnasGFDh/O++OKLmjhxovr06aMTTzxR48eP13PPPRcxTygU0pw5c5Sbm6sePXqosLBQ77zzjt2rAQBAYBBQxqjv9ma3m2AMwjIAADrnl1DPL+uBYFm+fLnKyspUXl6uTZs2ady4cSoqKtK+ffuizn/SSSfpvvvuU1VVld544w2VlJSopKREr7zySnieRx99VD/72c+0ePFirV+/XieeeKKKiop05MgRp1YLcfD6WWt2YESg+ehnI+g4cgOGc7pQ2TEily+JAILI6+GeSe23a3Ssny83EGQLFizQjBkzVFJSojPOOEOLFy9Wz549tXTp0qjzX3TRRbrmmms0atQoDR8+XHfccYfGjh2rtWvXSvpi9OTChQs1e/ZsXX311Ro7dqx+85vf6MMPP9TKlSsdXDP4CWGUuQhzAXeQGiAhFFQA8J4g3CXYlNO825gU8sXDq+12i+mXP/CDhoaGiEdTU1PU+Zqbm7Vx40YVFhaGpyUnJ6uwsFBVVVVdvk4oFFJlZaW2b9+ur33ta5KknTt3qra2NmKZWVlZys/Pj2mZgCkI3mAVBqDADgndxRvmObwzS72G1rvdDFiMIDgSl1oA/GPXnv7K+8p+t5vhCK/d3Ztw0nuydkQP65zWe3dIKWnW/hDS0vzF8gYPHhwxvby8XHPnzm03/4EDB9TS0qLs7OyI6dnZ2dq2bVuHr1NfX69BgwapqalJKSkp+sUvfqFLL71UklRbWxtexvHLbPsbAH8gxAXcQ0Dpgt47knVoeKvbzei2V2tG6LIh291uBhCXHls+cLsJAALIKyGlieGkaaNi4Y7du3crMzMz/O/09HRLl9+7d29VV1fr8OHDqqysVFlZmYYNG6aLLrrI0teBN/lpMMhzn5yrG/uuc7sZANAO43IBQ7kxepI7wgPwA1MDLRPDvzYvNJxldPvswPUnvSUzMzPi0VFA2a9fP6WkpKiuri5iel1dnXJycjpcfnJysk499VSNHz9eP/jBD/TNb35T8+fPl6Tw8+JdJtAVzpYCgC8RUPqIG+ESRRUAgoVr7XWPiUGgae05lqlhM8yVlpamCRMmqLKyMjyttbVVlZWVKigoiHk5ra2t4etcDh06VDk5ORHLbGho0Pr16+NaJmAKTmOOjvcFcBeneKPbONXben4KfrmAMgC0Z8Ip3yYHk0B3lJWV6aabbtLEiRM1adIkLVy4UI2NjSopKZEkTZs2TYMGDQqPkJw/f74mTpyo4cOHq6mpSatWrdJzzz2nX/7yl5KkpKQk3XnnnXrooYd02mmnaejQobr//vs1cOBAFRcXu7WaAHzET/0/IFEElAAkcXo3AOfZeaOc1bUjdWlOxzfEMEFbQOhGUEk4aZbe71t7Y5mgmzJlivbv3685c+aotrZW48ePV0VFRfgmNzU1NUpO/vIH1MbGRn3ve9/Tnj171KNHD40cOVL/9V//pSlTpoTnufvuu9XY2KhbbrlFBw8e1Pnnn6+KigplZGQ4vn6AFbgWZSRGTwLuI6CEJRhFaR1+PQOAYHEyqPRSMOmV07u57IGZSktLVVpaGvVva9asifj3Qw89pIceeqjT5SUlJWnevHmaN2+eVU2EzbxyY1L6UbAbA1HgFZx7GYe+25stW5Zdp71y8PE2wkkAsI5XAq42dl2fsm25Xgon7cYNcgAzWdnfspof+1mMGvwC7wNgBkZQwjL8+uddfvzCBcAb7DzN26uODxLjHVnphyDSa+EyAHgVp3oDMAUBJSxFSJk4P46etHKksMm/qANe0vv9kA6dktStZaTXpKlpiDc+k164FmVX/BA4AgA6Rh/KPSaMnvRjPxBIBKd4+5Dbo+E4wMaP9wxArLJ2NLndBMBWdo+e5PRuAIhkQkjnhqCuN2AqAkrAZW6Hk24H2gBgN04XBgCgc4R1ANxGQOkiu26UYwK3QzcAgHcwog1tvBYmcwdvIFjs/GHfhP5TkELKIK0r4BX+TcgCzoRRcSYUWdP5+T3ycwAPwHu8FnwBAOCGIAR3Jq2jn/uDQLwCkyD02PKB200IJA64HTPhvTEhyAbgTYwcg9WcCJFNHK3b+/2Q200AfIsfzHE8k8JJAJE4YsfJS3cSNiV8MiGIMw3vCQBEciI4YhQlAMBkpvQRCPH8w5RMAIgFAaXLgvKrninF1gSmvBdeKlZe+mEAABA/wmMAXuGl79Dd4ceQ0rR1MqVfCJgiGOkYjMABODjvganBO5d6AEAQFlxWj9LlMgcA7GBSf8G0QK87/LQugF+ZmSLAMqb9wmdSwXVakNcdgFlMveadidcHhP0IjQHAXM99cq7nwz2vtx8ICgJKOC6IQZ1p62xacA3Am7w6goxAzBxsi+7L2tHkdhMABIBXQz6vtttkpp4tB+9jzzKA3R9wE8Mo0wI7OwVpXQHAKwjGgoXRuQCsZHf/ytT+g5fCPtNHfpq6jQE3EVDCNUE4KJu4jnZ/oeIXNQDdQZAUHF4Oib06ehgIIr6bWsvk0K+NF9roBBMHKgGd4WidAC/eUdjUg5OJAZ4VXq0Z4dt1AwC/8HJA5nW8918w9XqwgJu82Neyg8l9CZNHJ5raLgBdI6CE6/wW5pm8LqYG1Z3hSypgNq+PJCMo8z9G5QKAPUwKKk1qS1dM7i+6gf4e2hBQGoJTD7x/oPZb0AoAbiFQ8jdCYQB+4MQP/17pW7gZDnopmATQOVKxAPHC6DmvhnxeaLMT25+gHfAOTi39EoGZc5x+r+0Iu70+ahgA7OJkWOjVYNIL/UbALaluNwCIpu3AfdmQ7S63pHMUGABuyNrRpPrh6W43w1a79vRX3lf2O/Z6q2tH6tKcbY69HgDAOb13JOvQ8Fa3m5GQV2tGGN8nOt6xweGNfdfZslwA/kNAGTCHd2ap19B6t5sRM1ODSq8Fk14YPQvAu9Jr0tQ0xPvXDyKktBcjVQH4jdf6Vm44PlSMJ7AkkEwc/T94UaACyh5bPtBnowdZsqy+25v1yQhrT/Fx6pc9LxZSE4JKr4WSTrPj9G4umAzAaYSU9nAjnDT9WqZcZgFArLw4irIjQQ4d6U8CnQtUQAnvO/ag7kSR9kMR4dczAF7l9GnesIefRk5y/UkAAAB7EFAGlBdHUR7v+PDQqsDSD6Ek2uux5QO3mwDAIxhFaR23wknTR08C8A+n+lV+GkUZRH7pY3JTVNiJgNIwXr6As9v8ctC3klOjJylUgDf1fj+kQ6ckWbIsu65D6dYoSkLK7vPTyEkAALyCM+jgVaQKAcaBy9/YvgDQPQRsiXPzvWP0JIBo/PCDOgMyvIntBsTG+0dpF3EDD8A+fL4AtHEzcCKkjJ9f3zMTrz+ZtaPJ7SYAtvDa90AGBgBA9xFQGsjJX/copv7k5Hb1w6/RANAZvwZudnD7vfLK6Enu4A0gUYzG8xa2FxA7kgUQUgIALGHnCDO3g6fVtSNdD99Mx/sDAM4g9EJH6NvDywgoAZ+hKAGAfQjhojPhfbEzxDbx9G4A8bPzzB++g+N4BMlAfAgoDeX0abMUVH9wejtyerd/LFq0SHl5ecrIyFB+fr42bNjQ4bwvvviiJk6cqD59+ujEE0/U+PHj9dxzz0XMEwqFNGfOHOXm5qpHjx4qLCzUO++8Y/dqIAFeOtXU7VGUbUwI40zC+wEAziP8MhvbB1aLp78mSStWrNDIkSOVkZGhMWPGaNWqVRF/f/HFF3XZZZfp5JNPVlJSkqqrq9st46KLLlJSUlLE47vf/a6VqxWBdKGbvHYB584QUnqbn7afnz5XXrB8+XKVlZWpvLxcmzZt0rhx41RUVKR9+/ZFnf+kk07Sfffdp6qqKr3xxhsqKSlRSUmJXnnllfA8jz76qH72s59p8eLFWr9+vU488UQVFRXpyJEjTq2W75l6c4ygjDQjlDPrtHdTwmsAcBIhGJzE4BT3xNtfW7dunaZOnarp06dr8+bNKi4uVnFxsbZs2RKep7GxUeeff75+/OMfd/raM2bM0N69e8OPRx991NJ1O1bg9rAeWz5wuwkx4wAAk7F/+seCBQs0Y8YMlZSU6IwzztDixYvVs2dPLV26NOr8F110ka655hqNGjVKw4cP1x133KGxY8dq7dq1kr4YPblw4ULNnj1bV199tcaOHavf/OY3+vDDD7Vy5UoH1wx+ZFIQZVJA57QgrbfVobuXRi0DiI8bAwYIKc3j1jbx04AVRIq3v/bEE09o8uTJuuuuuzRq1Cg9+OCDOuuss/Tkk0+G57nxxhs1Z84cFRYWdvraPXv2VE5OTviRmZlp6bodi4QBETioeRPbrXNe+mHCSg0NDRGPpqb2I+6am5u1cePGiMKUnJyswsJCVVVVdfkaoVBIlZWV2r59u772ta9Jknbu3Kna2tqIZWZlZSk/Pz+mZQJeE6SwzsRQ1qTQGoD5+JEdgAli6atJifXXqqqq2gWPRUVFCfXFfvvb36pfv34aPXq0Zs2apU8//TTuZcQq1bYlw7MO78xSr6H1bjcDMSKc9LY+7zYrNdXaL8pHj35xivzgwYMjppeXl2vu3LkR0w4cOKCWlhZlZ2dHTM/Ozta2bds6fI36+noNGjRITU1NSklJ0S9+8QtdeumlkqTa2trwMo5fZtvf4G/pNWlqGmLfpRp27emvvK/st235iWgL7S7N6fhz43WmBZMS4SQA87jRl3q1ZoQuG7Ld0ddEdIxo9Re3+2pSYv212tpaS/pi3/rWt3TKKado4MCBeuONN/SjH/1I27dv14svvhjXcmJFQGmBvtub9ckIe6651XtHsg4Nb7Vl2Z0hpPQGt8JJO3955vqT1tm9e3fEEPz09HTLlt27d29VV1fr8OHDqqysVFlZmYYNG6aLLrrIsteAc3q/H9KhU5LcbkZcTAwpJX8GlSYGk04JyjVVARPZ2cfyI0JK97kZTjJoxXvs7KtZ5ZZbbgn//5gxY5Sbm6tLLrlEO3bs0PDhwy1/Pca3o0Mc5ABvy8zMjHhEK3r9+vVTSkqK6urqIqbX1dUpJyenw2UnJyfr1FNP1fjx4/WDH/xA3/zmNzV//nxJCj8v3mXCX4Ie7Pgh1DPxdO5jMXoSgKnc6kcxes89vPeIVyx9NSmx/lpOTo4tfbH8/HxJ0rvvvtut5XSEgNIDuE4KovHj6Ek4Ly0tTRMmTFBlZWV4WmtrqyorK1VQUBDzclpbW8PXTRk6dKhycnIiltnQ0KD169fHtUygK6YHVG0Bn8khXzRebLNXWHmDnKwd0a9VBaBrfv4+S1AGO9j1meHsua4l0l8rKCiImF+SVq9e3e2+WHV1tSQpNze3W8vpCKd4o1Oc6m0mRrfCSmVlZbrppps0ceJETZo0SQsXLlRjY6NKSkokSdOmTdOgQYPCIyTnz5+viRMnavjw4WpqatKqVav03HPP6Ze//KUkKSkpSXfeeaceeughnXbaaRo6dKjuv/9+DRw4UMXFxW6tJnzK1FO9j2f6qd9eCySdCKeDPgoYABAbt0Nh+ob+F29/7Y477tCFF16oxx9/XFdccYWWLVum119/XU899VR4mR9//LFqamr04YcfSpK2b//iEhFtd+vesWOHnn/+eV1++eU6+eST9cYbb2jmzJn62te+prFjx9qyngSUFrH7GiluXYtSIqQ0jZsFyO5fm/kFzR1TpkzR/v37NWfOHNXW1mr8+PGqqKgIX1i5pqZGyclfbvvGxkZ973vf0549e9SjRw+NHDlS//Vf/6UpU6aE57n77rvV2NioW265RQcPHtT555+viooKZWRkOL5+iI0d16G0+2Y5XnRsEGhCWOm1YFIyf+QsAEju9qG4HqVz3A4nEQzx9tfOPfdcPf/885o9e7buvfdenXbaaVq5cqVGjx4dnudPf/pTOOCUpOuvv17SlzfrSUtL05///OdwGDp48GBde+21mj17tm3rSUCJmBBSmoFfx2CX0tJSlZaWRv3bmjVrIv790EMP6aGHHup0eUlJSZo3b57mzZtnVROBDnllFOXx3AgrvRhIuoHRkwC8jpDSfiaEk/QPgyOe/pokXXfddbruuus6XN7NN9+sm2++ucO/Dx48WH/729/ibWa3BDKg7LHlA302epDbzfAcQkp3uV18vHqtnh5bPnC7CYBtsnY0qX64eXf8c4NXQ8o20YLD7oaWfgwjGT0JwCpOnKHmdv+JkNI+JoSTgN8EMqD0KjdP827jdpENKrfDSQBIFKd5J86PAWN3eD2ctPIGOQAQK0JK6xFOAvbw5pAoQwXl+nmEZc4y4f12YvRkUD4/AOzj9QALHXNy23J6N2AOP3w/NOG7PIGadUx6L53at7x6Jh28hz3NY0w5OJhQaIOA9xmAk+wa4eVk4ENICQCIlSl9Kye8WjPCqHDNi3j/AHsF54jsI6YU0sM7swjQbGLSe2vK/gYAsSKk9BdGT7aXtaPJ7SYAiIMp3+slQrZEmfa+mbRPAVYheUC3cXC0VhDfTz+cvgOgc04HP4SU/uCX7cj1J523aNEi5eXlKSMjQ/n5+dqwYUOH8/7zn//Utddeq7y8PCUlJWnhwoXt5pk7d66SkpIiHiNHcp1YxM6k7/imhW2m4/0CnEFAaTGnghbTRrWZVHC9zLT30bT9DID9CFJgCqfDSa+MnkTXli9frrKyMpWXl2vTpk0aN26cioqKtG/fvqjzf/rppxo2bJgeeeQR5eTkdLjcM888U3v37g0/1q5da9cqALYjdIuNie+Tk31G+oNwUmD3th5bPnC7Cb5jWrjmNbx/APyOUZSIFdsO3bFgwQLNmDFDJSUlOuOMM7R48WL17NlTS5cujTr/2WefrZ/85Ce6/vrrlZ6e3uFyU1NTlZOTE37069fPrlWAg5wMYEz7vs91KTvGewM4L7ABpR+Y+GuGSddO9ApT3zOn9i87Rx3zQwSCgGvRdY6gy3vc2GZ2hueMSnZWc3OzNm7cqMLCwvC05ORkFRYWqqqqqlvLfueddzRw4EANGzZMN9xwg2pqarrbXMSASwHZjyAuksnvh4n9RsAq5iVcPkAR5cAZK94nAEHjxmm0hJTewbZCRxoaGiIeTU3Rf5w5cOCAWlpalJ2dHTE9OztbtbW1Cb9+fn6+nnnmGVVUVOiXv/yldu7cqQsuuECHDh1KeJkwR5BHUbZhxOAXeA+cQ26C46W63QB0T+8dyTo0vNXtZkTVVnx7Da13uSXmMfWLSRsTR+cCcE7v90M6dEqS282w1K49/ZX3lf1uNwOdcCuc5NqT1snc2aTUVGuPHUePfhFEDh48OGJ6eXm55s6da+lrdebrX/96+P/Hjh2r/Px8nXLKKfr973+v6dOnO9YO+MPhnVnG9pFerRmhy4Zsd7sZjvNCMOl0H5I+IZxGQOkDJoeUEkHlsUwPJiVnCxG/mgHBlF6TpqYhzn/+CSnNxchJdGX37t3KzMwM/7uja0X269dPKSkpqquri5heV1fX6Q1w4tWnTx+dfvrpevfddy1bJmCKtrAuCEGlF4JJICiIxG1C8NKeqddadEKQ1x0ATEIQZh43t4ndoyftuP5kUK87m5mZGfHoKKBMS0vThAkTVFlZGZ7W2tqqyspKFRQUWNaew4cPa8eOHcrNzbVsmXCX06PFvNA38PNp315bNy/sL0B3MYLSJ0wfRXmsII2o9FohYRg/gDZ2n+bt1ihK6ctAjNGU7iMwhh3Kysp00003aeLEiZo0aZIWLlyoxsZGlZSUSJKmTZumQYMGaf78+ZK+uLHOW2+9Ff7/Dz74QNXV1erVq5dOPfVUSdIPf/hDXXnllTrllFP04Ycfqry8XCkpKZo6dao7KwlfMPlU72P5aUSll0JJIGgCHVD22PKBPhs9yO1mWMZLIaXk76DSa8Gk5Hw4afcoY+7gDaArnPLtLrfDSa496V9TpkzR/v37NWfOHNXW1mr8+PGqqKgI3zinpqZGyclffu/58MMP9dWvfjX878cee0yPPfaYLrzwQq1Zs0aStGfPHk2dOlUfffSR+vfvr/PPP1+vvfaa+vcnZHdC3+3N+mQEn1m3HRvueS2s9HIw6UbfkoErcEOgA0q7UUhj46eg0ovBJADvy9rRpPrh0U93NJmboyjbEFK6w+1w0gl2nN6N2JWWlqq0tDTq39pCxzZ5eXkKhTrfXsuWLbOqaTCYGwM+vDKK8nheCCu9HEq2oX+JICGg9BmvjaI81rEHXy8VaT8UDX4hAxCNE3fzJqQMFlOCSUZPAjCJV0PKNiaFlX4IJYGgIqC0mRujKL0cUrYxPaz0QyjZxo1wkptIATAN16W0H+EkAC/wQ1/KTccHhHYHln4OJN3qczJ4BW4hoPQpPxXWaAdmJ0NLP4WRx6P4ADCBCaMo2zCa0nqmBJNO4vRuAPHy+ijKjnQVIHYVYPo5gOyMn/ugEgNWEB0BJTypowN2d4q634vA8dwKJ50oRtwgB7COE6d5m4bRlNYxLZz0+ujJrB1NbjcBcE0Qru/v15CyM0ENIAG0F/iA0ok7ebtVTP00ijJWQQsZAcAvTBpF2YbRlIkzLZiUnAsnGT0JeJ+b/agghpSI5GafljPs4Cb2Pp/jAINo2C8AmMjE0W279vQ3MmwzGe8XAHQPgy6Ci22PICOlcIib11ggjMKx3NwfuNYIYB87T/10ckSYiSGlRFAZC5PfI1P3KwDmcrsPRVAVPGxzBB3JVUC4XWBhBvYDAOgek0M4t5j+njgZTnJ6NwArEVjBSfQV4Tb2QAe5PXqMA06wub39ndr/uUEOYA9GUUYyPZRzghfeAy/sS7HiBjmA8/0pt78/S4SUQcF2BggoJQUr0DChyMJ5bHcAXuOVYMkLIZ2V2tY3SOscK0ZPArAL4ZW/BW37uj1wC+YitXCYCR9GwqpgMWF7m7DfA/Aer4SUkv+DOy+um5f2HwDmMuG7tBS8ECsoTNmupuznCDb2woDiABQMbGcgWOw+BZQRYrHxYpgXjZdDV8JJAH5kSpgFa7A9gUikFy4wZTQZ4ZW/mbJ9TdnfAXiTl4OmYwM+r4R8XmtvNG7sM4T3gHPc+G5pyvdqiVDLL0zajibt3wi2hPbERYsWKS8vTxkZGcrPz9eGDRs6nHfJkiW64IIL1LdvX/Xt21eFhYWdzu+WIF2H8lgcjPwpqNs1qJ9jdJ8f65pd3AhivBxSHsu0wPL49pjQpu7yy75yPG6Qg3hQ0/zPpHAL8WP7AdHFnWIsX75cZWVlKi8v16ZNmzRu3DgVFRVp3759Uedfs2aNpk6dqr/+9a+qqqrS4MGDddlll+mDD4IdJJg0qiyoYZZfmbQ9TdrPgY5Q17zBj8FTtIDQjpDQqddxm1v7CKMnYRJqmn1M+o4tEXJ5FdsN6FhqvE9YsGCBZsyYoZKSEknS4sWL9fLLL2vp0qW655572s3/29/+NuLfv/71r/WHP/xBlZWVmjZtWoLNhtV670jWoeGtbjcD3WDalybAK6hr8ev9fkiHTkly/HXTa9LUNMT/P3z4MTy0mx8DbCAR1DR7mdZnOrwzS72G1rvdDMTIxHDS6T4kA1jQmbj2xubmZm3cuFGFhYVfLiA5WYWFhaqqqoppGZ9++qk+//xznXTSSR3O09TUpIaGhoiHH5n24ey9I5mQy6NM3G6m7d9ANE7UNadrmt9PBSWIwvHc3CcYPQmTBKmvxvfMLx3emWVk8IUvsY2A2MSVahw4cEAtLS3Kzs6OmJ6dna3a2tqYlvGjH/1IAwcOjCicx5s/f76ysrLCj8GDB8fTTHSTiWEXOmbi9nLjSyPXn0QinKhrfq1pbgYzhJRow74AfIm+mjNM/O4tmTk6D2ZvF1P3ZQSXo3vkI488omXLlumPf/yjMjIyOpxv1qxZqq+vDz92797tSPvcCDhM/fWPg5X5GPEKuC+WuuZWTfM7gim4vQ84FdL7fVQ0zGF6Xw1dY6SeWdgWQHziugZlv379lJKSorq6uojpdXV1ysnJ6fS5jz32mB555BH9+c9/1tixYzudNz09Xenp6fE0DTZoC79Mus4KvmByMGlq6A5E40Rd83NNc+talG2Cck1KtOd2OAmYiL6ac0y7FuXxuDalu7wQTJrcn0RwxbVXpqWlacKECaqsrAxPa21tVWVlpQoKCjp83qOPPqoHH3xQFRUVmjhxYuKt9SnTAx0OXuYwfdSk6fsycDy/1rUgjbgiqAoeE7Y5156Eifxa0zri9vdOk7+TS4ymdIsX3nPT910EV9x38S4rK9NNN92kiRMnatKkSVq4cKEaGxvDd4qbNm2aBg0apPnz50uSfvzjH2vOnDl6/vnnlZeXF77+Sa9evdSrVy8LV8UaPbZ8oM9GD3L8dftub9YnI9z/wt0RRlO6j0LSMa4/ie7we12zm9ujKKUvAytGU/qfCeEkYDJqGo7HaEpneCGYdJvbPyrAfHEHlFOmTNH+/fs1Z84c1dbWavz48aqoqAhfjLmmpkbJyV8GKb/85S/V3Nysb37zmxHLKS8v19y5c7vXejiOoNJ5XgkmKTjwKupa95kQUkqc8u13poSTTo6eDNJoaFiDmuYs00/1btMWnhFUWs9rwaRX+pYIprgDSkkqLS1VaWlp1L+tWbMm4t+7du1K5CUCyfRRlMciqLSfl4oH4SS8jrrmH4SU/mNKMClxaje8IUg1zYT+k1dCSomg0mpeCycB03knAQkIrwU9XgrRvML060yahtO7geicHnllUnBjUqCF7mFbAvACr3135/qU3ePV989r+ymCJ6ERlH7n1nUo25jwS2A8jj3QeeXXQxN5tWB4LVQHEAxcl9L7TAsnTQrhAcAKjKiMnRcDyWO53dekz4hYEFDCUpz6HT+3i0V3UGgAHMuUa1Eei1O+vce0YFJyJ5zk+pNAbEwZ3OGlU72Pd2z4RlgZyevBJOAl3k1GfM7rwQ+nKXeu7f3x8ntkwj7K6d1A59wIOEwcZZZek2Zk6IX22E4AvMzL3+3bePX0Zav56X3ww36JYGAEZQfcPs1bMufXwO7g9O8vURgAwF2c9m0uk4NJE0N3AOby8kjKYwVxVKVfAslj0QeFlxBQGs4PIWWbIIaVfi0IJoyeBGAuE0/1PhanfZvD5GBSci+c5PRuID6m9Zn8ElK2OT6480tg6cdA0kT0HRErAkoPMK3gWuH44M5PBdyvoWQbUwoMp3cDZvNCSCkxmtItpgeTANBdfgspj+XVwDJogaTf+6XwHwLKTphwmncbP4aUx/JyYBmkA78p4SSA2GXtaFL98HRXXtv0kFIiqHSal4JJTu0GvMXE/pKfQ8pjRQv+3A4tgxZGHi9IfVT4BwEljBTtgOp2cQ/6QZ5wEoCfEVTay0vBpORuOMnp3YC/BCWkPF5XAWF3A8ygB5CdCXq/Fd5FQOkhJv4q6KRYD7SJfAHgIN4508JJTu8GvMMLoyiPdWyQRljZfV4LJiVGTgKwXlBDys4QMNrDtH6taf1ImI2AsgsmneYtEVLGwrSDstdRVADvc/M0b8l7IWUbRlUmxouhZBvCScDbTO4rEVLCbvSD4XXswR5EYASnmLivMXoS8CYvBz/pNWnhBzrm9ffIhH2U07sBfyNAgl3Yt+AH7MUxMDEQ6bu92cjwCP7B/gX4iwnBhwkBUHcRVn7p2PeC9wOAKUz/DkuQBKuZuk+Z/lmEeczckxEzPvSwg6n7lYk/FgCIjx9CyjZBDOf8us5+2i8BmM/UQAnew74EP2FvjpHJwYipYRK8if0JgN38GAYdP5rQLwGeH9fpeKbsjyaMcgb8wgvfZwmW0F3sQ/Ab9mif8EIRhtm4bECwLVq0SHl5ecrIyFB+fr42bNjQ4bz//Oc/de211yovL09JSUlauHBhu3nmzp2rpKSkiMfIkSNtXAPEwqQAxJRQyE5eCy291l4rBGE/BGCu3juSCZmQENP3G/qV1ounvyZJK1as0MiRI5WRkaExY8Zo1apVEX8PhUKaM2eOcnNz1aNHDxUWFuqdd96JmOfjjz/WDTfcoMzMTPXp00fTp0/X4cOHLV+3Nmbv1YYxeRSlxEEAifPCvmP658/Lli9frrKyMpWXl2vTpk0aN26cioqKtG/fvqjzf/rppxo2bJgeeeQR5eTkdLjcM888U3v37g0/1q5da9cqwKOCGA5FCwGdDAPdfn1T9H4/ZNT+Z9KPB4BfeOH7bRvTwyaYhf0leOLtr61bt05Tp07V9OnTtXnzZhUXF6u4uFhbtmwJz/Poo4/qZz/7mRYvXqz169frxBNPVFFRkY4cORKe54YbbtA///lPrV69Wi+99JL+/ve/65ZbbrFtPVNtWzJc0VaIPxkRrI4GEuelL2+wx4IFCzRjxgyVlJRIkhYvXqyXX35ZS5cu1T333NNu/rPPPltnn322JEX9e5vU1NROA0y4I2tHk+qHp7vdjLDe74d06JQkt5thhKCFhG4xKZgEgDZtodOh4a0utwSm8kowSf/SevH215544glNnjxZd911lyTpwQcf1OrVq/Xkk09q8eLFCoVCWrhwoWbPnq2rr75akvSb3/xG2dnZWrlypa6//npt3bpVFRUV+r//+z9NnDhRkvTzn/9cl19+uR577DENHDjQ8vX0xh5uEK+M4uKggK546ZRur3zuTNPQ0BDxaGpqP0KnublZGzduVGFhYXhacnKyCgsLVVVV1a3Xf+eddzRw4EANGzZMN9xwg2pqarq1PPgXgRGcYuK+xuhJwD5e+a57LK+EUHAW+4X/xNJXkxLrr1VVVUXML0lFRUXh+Xfu3Kna2tqIebKyspSfnx+ep6qqSn369AmHk5JUWFio5ORkrV+/PrGV7gIjKH2M0ZToiJe+rPk9nOzx1l6lJlv7GT3a+sX2HTx4cMT08vJyzZ07N2LagQMH1NLSouzs7Ijp2dnZ2rZtW8JtyM/P1zPPPKMRI0Zo7969euCBB3TBBRdoy5Yt6t27d8LLhTVMG0UpfRkcMZoSdjExnASAaBhNiWMRTrrH7b6alFh/rba2Nur8tbW14b+3TetsngEDBkT8PTU1VSeddFJ4HqsRUCagx5YP9NnoQW43I2Z9tzcTUkKSt4JJdN/u3buVmZkZ/nd6unOB1Ne//vXw/48dO1b5+fk65ZRT9Pvf/17Tp093rB3wHk75hh1MDScZPQnYz8t9od47kgkpA8yLwST9zdi52Vczlff2eCTES6fzwh5e3P5+Hz1pt8zMzIhHtKLXr18/paSkqK6uLmJ6XV2dpdeP7NOnj04//XS9++67li0T3WNyMGJqmATvMe1mOADc4cXvwW2403cwsc39L5a+mpRYfy0nJ6fT+dv+29U8x9+E5+jRo/r4449tu88Ae32CvBqceLk4IzGE0+hMWlqaJkyYoMrKyvC01tZWVVZWqqCgwLLXOXz4sHbs2KHc3FzLlgl/I1hCd5m+/5j8IwEA8xBUBoOXtzN9Tnsk0l8rKCiImF+SVq9eHZ5/6NChysnJiZinoaFB69evD89TUFCggwcPauPGjeF5/vKXv6i1tVX5+fmWrd+xvLnno1sIrILB69vZqz8CeFFZWZmWLFmiZ599Vlu3btWtt96qxsbG8F3ipk2bplmzZoXnb25uVnV1taqrq9Xc3KwPPvhA1dXVEaMjf/jDH+pvf/ubdu3apXXr1umaa65RSkqKpk6d6vj6oWNeCEhMD5lgJvYbLFq0SHl5ecrIyFB+fr42bNjQ6fwrVqzQyJEjlZGRoTFjxmjVqlURfw+FQpozZ45yc3PVo0cPFRYW6p133rFzFWAxL38vPpaXAyx0jO2KzsTbX7vjjjtUUVGhxx9/XNu2bdPcuXP1+uuvq7S0VJKUlJSkO++8Uw899JD+9Kc/6c0339S0adM0cOBAFRcXS5JGjRqlyZMna8aMGdqwYYP+8Y9/qLS0VNdff70td/CWuAZlt3jtWpTH4yY6/uSXL19wzpQpU7R//37NmTNHtbW1Gj9+vCoqKsIXTa6pqVFy8pdfmD788EN99atfDf/7scce02OPPaYLL7xQa9askSTt2bNHU6dO1UcffaT+/fvr/PPP12uvvab+/fs7um7wB26gg1h5JZj0wo8DXrZ8+XKVlZVp8eLFys/P18KFC1VUVKTt27e3u+C/JK1bt05Tp07V/Pnz9f/+3//T888/r+LiYm3atEmjR4+WJD366KP62c9+pmeffVZDhw7V/fffr6KiIr311lvKyMhwehWRIC9fj/J43EjHH/wSStIHtVe8/bVzzz1Xzz//vGbPnq17771Xp512mlauXBmuaZJ09913q7GxUbfccosOHjyo888/XxUVFRE17be//a1KS0t1ySWXKDk5Wddee61+9rOf2baeSaFQyPhvcg0NDcrKylJh7ncsv4OSFbwcUh7LL8U6qPxUFEwdPXm0tVl/3vsr1dfXR1zQOBF2HtesbCes17btv3b+HKWmmtGpNe2O3p0hpEQ0Xgkm25gSUB49ekR/Xzuv2/XCzuNaIm3Mz8/X2WefrSeffFLSF6fCDR48WLfffrvuueeedvNPmTJFjY2Neumll8LTzjnnHI0fP16LFy9WKBTSwIED9YMf/EA//OEPJUn19fXKzs7WM888o+uvv96CNfWutu1/3iVzjalrnfFrn4eg0lv8Eky2MaUvevToEf2jcq5ldY2+mrP89alAt7SdEmzKwQWx8ds2MzWcBGAGrk2J43ltfzAlnPSr5uZmbdy4UYWFheFpycnJKiwsVFVVVdTnVFVVRcwvSUVFReH5d+7cqdra2oh5srKylJ+f3+EyYS4/fW8+FqcIe4Mft5NfP1NwHqd4W8Drp3pHw+nfZvNrESCcBNyRtaPJU6MoJU77hveCSYlwsjsaGhoi/p2enh71jqcHDhxQS0tL+LS3NtnZ2dq2bVvUZdfW1kadv7a2Nvz3tmkdzQNv8dOp3sc7NvxiVKUZ/BZIAnYhoLSIH0NKiaDSNH4NJgG4z4shpURQGUReDCaDIu3tDy0/FS659YvvPoMHD46YXl5errlz51r6WggWP4eUbQgr3RWEYJL+KaxEQImYHHvg8XshN01QDvqMngTQHQSV/uf1YJLRk92ze/fuiGt1RRs9KUn9+vVTSkqK6urqIqbX1dUpJycn6nNycnI6nb/tv3V1dcrNzY2YZ/z48XGvC+AGwkpnBCGUbBOUfiqcE5xPjwOCErBwrUr7Be09DspnBzCdHwIUrlHpP37Ypn74bLktMzMz4tFRQJmWlqYJEyaosrIyPK21tVWVlZUqKCiI+pyCgoKI+SVp9erV4fmHDh2qnJyciHkaGhq0fv36DpcJbwjKd+3jtV0HMUhhml2OfS95P4HuYQSlxfx6qndHji/qjK5MTFC/HEmEk4BpvHqq9/EYUeltXg8k4a6ysjLddNNNmjhxoiZNmqSFCxeqsbFRJSUlkqRp06Zp0KBBmj9/viTpjjvu0IUXXqjHH39cV1xxhZYtW6bXX39dTz31lCQpKSlJd955px566CGddtppGjp0qO6//34NHDhQxcXFbq0mLBKEU707c3yoxujKrhFEBrv/CvsQUNogaCHlsQgsY8MB/QuEk4CZ/BJSSpFBF2Gl+fwYTDJ60nlTpkzR/v37NWfOHNXW1mr8+PGqqKgI3+SmpqZGyclfBgznnnuunn/+ec2ePVv33nuvTjvtNK1cuVKjR48Oz3P33XersbFRt9xyiw4ePKjzzz9fFRUVysjIcHz9YL2gh5THIrBsj0AyEn1Z2IWA0iZBDimPRWD5BQ7iAOA+wkoz+TGUbEM46Z7S0lKVlpZG/duaNWvaTbvuuut03XXXdbi8pKQkzZs3T/PmzbOqiTAMIWV00cI5v4aWBJFdo18LOxFQ2oiQsr2ODmh++TLAATt2jJ4EzOanUZTREFa6y8+hZBvCScB7CClj01mQ54XwkiASMBMBpc0IKWPTVbBnyhcFAkhrEE4C3uD3kLINYaUzghBKtiGcBLyLkLJ74gn/rAozCRydQV8YdiOgdAAhZfdxMPQPwknAW4ISUrY5PkQjsExckAJJAP5CSOkMgkXvoD8OJxBQOoSQEkFHMAl4V9BCymMRWMaGMPJLjJ4E/IGQEvgC4SScQkDpIEJKBBXhJOB9QQ4pjxUtiAtaaEkY2THCScBf2oIZgkoEFeEknERA6TBCSgQN4STgH4SU0XUW2Hk5vCSIjA/hJOBfjKZEEBFOwmkElC4gpERQEE4C/kNIGZ9YQz4ng0yCR2sRTALBQEiJICGchBsIKF3SFtwQVMKPCCYBfyOktB6hoTcRTgLBwinf8DuCSbiJ22a5jCAHfsM+DQQDwQyCjs8AEFyEOPAj9mu4jYDSAD22fECoA19gPwaCJWtHEyENAon9HkDf7c0EOvAN9mWYgIDSIIQ78CpCdiDYCGsQFITyAI5HsAMvI2iHSbgGpWG4NiW8hFASQJu20IZrU8KvCCYBdIRrU8KLCCZhGgJKQxFUwmQEkwA6wg104DcEkwBiRVAJLyCYhKk4xdtwBEEwDfskgK5wGiz8gv0YQCI4bRYmYr+E6RhB6QGMpoTbCCUBJILTvuFVBJMArMCISpiAUBJeQUDpIceGRISVcALBJAArcNo3vIJgEoAdjg2ICCvhFIJJeA0BpUcxqhJ2IpgEYDVGU8JkBJMAnMKoStiNYBJeRUDpcYyqhFUIJQE44dggiLASbiOYBOAWRlXCSoSS8AMCSh9hVCXiRSgJwE2MqoQbCCUBmIawEokimISfEFD60PGhE4EljkUoCcA0jKqEEwgmAXgBYSW6QigJvyKgDABOAwehJACvYFQlrEQoCcDLjg+iCCyDiUASQUFAGTCMrgwGAkkAXnd8sERgiVgRSgLwKwLLYCCQRFARUAYcgaU/EEgC8DtOA0dnCCUBBFG0IIvQ0nsIJIEvEFAiQrSgi9DSHASRAMDoShBIAkBHOgq7CC7dRxAJdI6AEl3qKBQjuLQPQSQAxI7A0t8IIwGg+wgunUMQCSSGgBIJ6ypEI8DsHCEkANgjWqBFaOkNhJEA4KxYwjRCzC8RPgL2IaCEbWIN4PwUZBI6AoCZOgq+CC7dQRAJAN6RSCjnhVCTsBEwCwElXEeoBwBwS1dBGQFm4gghASC4CP8AxIuAEgAAoAOxhmxBCTIJHQEAAGAHAkoAAIBusjK4szrsJFQEAACA6QgoAQAADEKgCAAAgKBJdrsBAAAAAAAAAIKLgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAawgoAQAAAAAAALiGgBIAAAAAAACAaxIKKBctWqS8vDxlZGQoPz9fGzZs6HT+FStWaOTIkcrIyNCYMWO0atWqhBoLALCH1cf1UCikOXPmKDc3Vz169FBhYaHeeecdO1ehW6hrABBMH3/8sW644QZlZmaqT58+mj59ug4fPtzpc5566ilddNFFyszMVFJSkg4ePNhunry8PCUlJUU8HnnkEZvWIhI1DQCCKZGaduTIEd122206+eST1atXL1177bWqq6uLmOf73/++JkyYoPT0dI0fP77dMnbt2tWu5iUlJem1116Lq/1xB5TLly9XWVmZysvLtWnTJo0bN05FRUXat29f1PnXrVunqVOnavr06dq8ebOKi4tVXFysLVu2xPvSAAAb2HFcf/TRR/Wzn/1Mixcv1vr163XiiSeqqKhIR44ccWq1YkZdA4DguuGGG/TPf/5Tq1ev1ksvvaS///3vuuWWWzp9zqeffqrJkyfr3nvv7XS+efPmae/eveHH7bffbmXTo6KmAUBwJVLTZs6cqf/5n//RihUr9Le//U0ffvihvvGNb7Sb79///d81ZcqUTpf15z//OaLuTZgwIa72J4VCoVA8T8jPz9fZZ5+tJ598UpLU2tqqwYMH6/bbb9c999zTbv4pU6aosbFRL730UnjaOeeco/Hjx2vx4sUxvWZDQ4OysrJUmPsdpSanxdNcALDM0dZm/Xnvr1RfX6/MzMxuLcvO41q87bT6uB4KhTRw4ED94Ac/0A9/+ENJUn19vbKzs/XMM8/o+uuvt2hNreF0XWvb9l87f45SUzOsWxEAiNPRo0f097Xzul3XwjVtwLftqWn7fm1J7T3e1q1bdcYZZ+j//u//NHHiRElSRUWFLr/8cu3Zs0cDBw7s9Plr1qzRxRdfrE8++UR9+vSJ+FteXp7uvPNO3XnnnZa2uStu9tXOu2QudQ2Aq44ePaJ/VM61rq4Z0FeLVSI1rb6+Xv3799fzzz+vb37zm5Kkbdu2adSoUaqqqtI555wTMf/cuXO1cuVKVVdXR0zftWuXhg4dqs2bN0cdYRmr1Hhmbm5u1saNGzVr1qzwtOTkZBUWFqqqqirqc6qqqlRWVhYxraioSCtXruzwdZqamtTU1BT+d319vaQvNiQAuKXtGBTn7zqdLzPULLVatrgvl6kvCuux0tPTlZ6eHjHNjuP6zp07VVtbq8LCwvDfs7KylJ+fr6qqKqMCSifqWoc17WhT1PkBwCltxyGr6prbNS1eVVVV6tOnT7gjJ0mFhYVKTk7W+vXrdc0113Rr+Y888ogefPBBDRkyRN/61rc0c+ZMpabG1f2Ki+t9taPmnSUBIFjajkNBrGuJ1LSNGzfq888/j+i3jRw5UkOGDIkaUHblqquu0pEjR3T66afr7rvv1lVXXRXX8+OqkAcOHFBLS4uys7MjpmdnZ2vbtm1Rn1NbWxt1/tra2g5fZ/78+XrggQfaTV9T95/xNBcAbPHRRx8pKyurW8tIS0tTTk6O1tTac1zr1auXBg8eHDGtvLxcc+fOjZhmx3G97b/xHvvd4ERd66imrXvtxwm2GgCs1d269mVN+42FrfpSrDUtXrW1tRowYEDEtNTUVJ100kndrlff//73ddZZZ+mkk07SunXrNGvWLO3du1cLFizo1nI743Zfbf3fnLnGJgB0xbq65m5fLR6J1LTa2lqlpaW1Owsg3n5br1699Pjjj+u8885TcnKy/vCHP6i4uFgrV66MK6S07ye8bpg1a1bEL3kHDx7UKaecopqamm6HAiZraGjQ4MGDtXv3bstPYTFJUNZTCs66BmU96+vrNWTIEJ100kndXlZGRoZ27typ5mZ7RoaHQiElJSVFTOvuSBMkJqg1TQrOsYH19J+grKtVdc20mnbPPffoxz/u/EegrVu3WtK2jhx73B87dqzS0tL0ne98R/Pnz/d8PQ5qXQvKcUEKzrqynv7jx7pmQk3rSr9+/SLqwtlnn60PP/xQP/nJT+wLKPv166eUlJR2d/Spq6tTTk5O1Ofk5OTENb/U8dDWrKws33+gJCkzM5P19JmgrGtQ1jM5Oe77i0WVkZGhjAx3r9Vkx3G97b91dXXKzc2NmKc71ySxgxN1Leg1TQrOsYH19J+grKsVdc2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", 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" ] @@ -254,7 +293,7 @@ "plotter.plot(trainer, fixed_variables={'t': 0.5})\n", "\n", "# plotting at fixed time t = 1.\n", - "plotter.plot(trainer, fixed_variables={'t': 1.0})\n" + "plotter.plot(trainer, fixed_variables={'t': 1.0})" ] } ], @@ -263,7 +302,8 @@ "hash": "56be7540488f3dc66429ddf54a0fa9de50124d45fcfccfaf04c4c3886d735a3a" }, "kernelspec": { - "display_name": "Python 3.9.16 64-bit ('dl': conda)", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -276,7 +316,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/tutorials/tutorial3/tutorial.py b/tutorials/tutorial3/tutorial.py index 4d86b46..3c99a79 100644 --- a/tutorials/tutorial3/tutorial.py +++ b/tutorials/tutorial3/tutorial.py @@ -3,7 +3,7 @@ # # Tutorial 3: resolution of wave equation with hard constraint PINNs. -# ### The problem solution +# ## The problem definition # In this tutorial we present how to solve the wave equation using hard constraint PINNs. For doing so we will build a costum torch model and pass it to the `PINN` solver. # @@ -76,11 +76,13 @@ class Wave(TimeDependentProblem, SpatialProblem): problem = Wave() -# After the problem, a **torch** model is needed to solve the PINN. Usually many models are already implemented in `PINA`, but the user has the possibility to build his/her own model in `pyTorch`. The hard constraint we impose are on the boundary of the spatial domain. Specificly our solution is written as: +# ## Hard Constraint Model + +# After the problem, a **torch** model is needed to solve the PINN. Usually, many models are already implemented in `PINA`, but the user has the possibility to build his/her own model in `PyTorch`. The hard constraint we impose is on the boundary of the spatial domain. Specifically, our solution is written as: # # $$ u_{\rm{pinn}} = xy(1-x)(1-y)\cdot NN(x, y, t), $$ # -# where $NN$ is the neural net output. This neural network takes as input the coordinates (in this case $x$, $y$ and $t$) and provides the unkwown field of the Wave problem. By construction it is zero on the boundaries. The residual of the equations are evaluated at several sampling points (which the user can manipulate using the method `discretise_domain`) and the loss minimized by the neural network is the sum of the residuals. +# where $NN$ is the neural net output. This neural network takes as input the coordinates (in this case $x$, $y$ and $t$) and provides the unknown field $u$. By construction, it is zero on the boundaries. The residuals of the equations are evaluated at several sampling points (which the user can manipulate using the method `discretise_domain`) and the loss minimized by the neural network is the sum of the residuals. # In[3]: @@ -102,9 +104,11 @@ class HardMLP(torch.nn.Module): return hard*self.layers(x) +# ## Train and Inference + # In this tutorial, the neural network is trained for 3000 epochs with a learning rate of 0.001 (default in `PINN`). Training takes approximately 1 minute. -# In[7]: +# In[4]: pinn = PINN(problem, HardMLP(len(problem.input_variables), len(problem.output_variables))) @@ -115,7 +119,7 @@ trainer.train() # Notice that the loss on the boundaries of the spatial domain is exactly zero, as expected! After the training is completed one can now plot some results using the `Plotter` class of **PINA**. -# In[11]: +# In[5]: plotter = Plotter() diff --git a/tutorials/tutorial4/tutorial.ipynb b/tutorials/tutorial4/tutorial.ipynb index 5e4034e..ca43815 100644 --- a/tutorials/tutorial4/tutorial.ipynb +++ b/tutorials/tutorial4/tutorial.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "48dd2795", "metadata": {}, "source": [ "# Tutorial 4: continuous convolutional filter" @@ -9,13 +10,15 @@ }, { "cell_type": "markdown", + "id": "25770254", "metadata": {}, "source": [ - "In this tutorial we will show how to use the Continouous 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) of Coscia Dario, Laura Meneghetti, Nicola Demo, Giovanni Stabile, and Gianluigi Rozza." + "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)." ] }, { "cell_type": "markdown", + "id": "80e8bfac", "metadata": {}, "source": [ "First of all we import the modules needed for the tutorial, which include:\n", @@ -27,6 +30,7 @@ { "cell_type": "code", "execution_count": 1, + "id": "5ae7c0e8", "metadata": {}, "outputs": [], "source": [ @@ -39,6 +43,7 @@ }, { "cell_type": "markdown", + "id": "4094758f", "metadata": {}, "source": [ "The tutorial is structured as follow: \n", @@ -49,6 +54,7 @@ }, { "cell_type": "markdown", + "id": "87327478", "metadata": {}, "source": [ "## Continuous filter background" @@ -56,6 +62,7 @@ }, { "cell_type": "markdown", + "id": "7f1aa4ef", "metadata": {}, "source": [ "As reported by the authors in the original paper: in contrast to discrete convolution, continuous convolution is mathematically defined as:\n", @@ -72,6 +79,7 @@ }, { "cell_type": "markdown", + "id": "a2ea9c78", "metadata": {}, "source": [ "We will now try to pratically see how to work with the filter. From the above definition we see that what is needed is:\n", @@ -82,6 +90,7 @@ }, { "cell_type": "markdown", + "id": "ac896875", "metadata": {}, "source": [ "### Input function\n", @@ -100,7 +109,8 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, + "id": "447bb133", "metadata": {}, "outputs": [ { @@ -144,6 +154,7 @@ }, { "cell_type": "markdown", + "id": "e93d6afd", "metadata": {}, "source": [ "### Stride\n", @@ -171,6 +182,7 @@ }, { "cell_type": "markdown", + "id": "71c13ef2", "metadata": {}, "source": [ "### Filter definition\n", @@ -182,14 +194,15 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, + "id": "b78c08b8", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/dariocoscia/anaconda3/envs/pina/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /Users/runner/work/_temp/anaconda/conda-bld/pytorch_1682343673238/work/aten/src/ATen/native/TensorShape.cpp:3484.)\n", + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3526.)\n", " return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]\n" ] } @@ -214,6 +227,7 @@ }, { "cell_type": "markdown", + "id": "49ccc992", "metadata": {}, "source": [ "That's it! In just one line of code we have created the continuous convolutional filter. By default the `pina.model.FeedForward` neural network is intitialised, more on the [documentation](https://mathlab.github.io/PINA/_rst/fnn.html). In case the mesh doesn't change during training we can set the `optimize` flag equals to `True`, to exploit optimizations for finding the points to convolve." @@ -221,7 +235,8 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, + "id": "0fbe67dc", "metadata": {}, "outputs": [], "source": [ @@ -235,6 +250,7 @@ }, { "cell_type": "markdown", + "id": "f99c290e", "metadata": {}, "source": [ "Let's try to do a forward pass" @@ -242,7 +258,8 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, + "id": "07580a3c", "metadata": {}, "outputs": [ { @@ -265,6 +282,7 @@ }, { "cell_type": "markdown", + "id": "886cf50f", "metadata": {}, "source": [ "If we don't want to use the default `FeedForward` neural network, we can pass a specified torch model in the `model` keyword as follow: \n" @@ -272,7 +290,8 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, + "id": "0e234c69", "metadata": {}, "outputs": [], "source": [ @@ -300,6 +319,7 @@ }, { "cell_type": "markdown", + "id": "2d4318ab", "metadata": {}, "source": [ "Notice that we pass the class and not an already built object!" @@ -307,6 +327,7 @@ }, { "cell_type": "markdown", + "id": "254e8c8d", "metadata": {}, "source": [ "## Building a MNIST Classifier\n", @@ -316,7 +337,8 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, + "id": "6d816e7a", "metadata": {}, "outputs": [ { @@ -331,7 +353,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 9912422/9912422 [00:00<00:00, 26842487.33it/s]\n" + "100%|█████████████████████████████████| 9912422/9912422 [00:00<00:00, 59926793.62it/s]\n" ] }, { @@ -348,7 +370,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 28881/28881 [00:00<00:00, 93758276.95it/s]" + "100%|██████████████████████████████████████| 28881/28881 [00:00<00:00, 2463209.03it/s]\n" ] }, { @@ -365,8 +387,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "\n", - "100%|██████████| 1648877/1648877 [00:00<00:00, 21185082.59it/s]\n" + "100%|█████████████████████████████████| 1648877/1648877 [00:00<00:00, 46499639.59it/s]\n" ] }, { @@ -383,7 +404,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 4542/4542 [00:00<00:00, 10560160.07it/s]" + "100%|███████████████████████████████████████| 4542/4542 [00:00<00:00, 19761959.30it/s]" ] }, { @@ -437,6 +458,7 @@ }, { "cell_type": "markdown", + "id": "7f076010", "metadata": {}, "source": [ "Let's now build a simple classifier. The MNIST dataset is composed by vectors of shape `[batch, 1, 28, 28]`, but we can image them as one field functions where the pixels $ij$ are the coordinate $x=i, y=j$ in a $[0, 27]\\times[0,27]$ domain, and the pixels value are the field values. We just need a function to transform the regular tensor in a tensor compatible for the continuous filter:" @@ -444,7 +466,8 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, + "id": "a872fb2d", "metadata": {}, "outputs": [ { @@ -481,6 +504,7 @@ }, { "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" @@ -488,7 +512,8 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, + "id": "889c1592", "metadata": {}, "outputs": [], "source": [ @@ -531,6 +556,7 @@ }, { "cell_type": "markdown", + "id": "4374c15c", "metadata": {}, "source": [ "Let's try to train it using a simple pytorch training loop. We train for juts 1 epoch using Adam optimizer with a $0.001$ learning rate." @@ -538,28 +564,37 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 10, + "id": "0446afe0", "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:611: UserWarning: Can't initialize NVML\n", + " warnings.warn(\"Can't initialize NVML\")\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "batch [50/750] loss[0.039]\n", - "batch [100/750] loss[0.031]\n", - "batch [150/750] loss[0.030]\n", - "batch [200/750] loss[0.028]\n", - "batch [250/750] loss[0.023]\n", - "batch [300/750] loss[0.026]\n", - "batch [350/750] loss[0.029]\n", - "batch [400/750] loss[0.031]\n", - "batch [450/750] loss[0.030]\n", - "batch [500/750] loss[0.023]\n", - "batch [550/750] loss[0.019]\n", - "batch [600/750] loss[0.025]\n", - "batch [650/750] loss[0.020]\n", - "batch [700/750] loss[0.028]\n", - "batch [750/750] loss[0.028]\n" + "batch [50/750] loss[0.161]\n", + "batch [100/750] loss[0.073]\n", + "batch [150/750] loss[0.063]\n", + "batch [200/750] loss[0.051]\n", + "batch [250/750] loss[0.044]\n", + "batch [300/750] loss[0.050]\n", + "batch [350/750] loss[0.053]\n", + "batch [400/750] loss[0.049]\n", + "batch [450/750] loss[0.046]\n", + "batch [500/750] loss[0.034]\n", + "batch [550/750] loss[0.036]\n", + "batch [600/750] loss[0.040]\n", + "batch [650/750] loss[0.028]\n", + "batch [700/750] loss[0.040]\n", + "batch [750/750] loss[0.040]\n" ] } ], @@ -597,6 +632,7 @@ }, { "cell_type": "markdown", + "id": "47fa3d0e", "metadata": {}, "source": [ "Let's see the performance on the train set!" @@ -604,14 +640,15 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 11, + "id": "b54638c1", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Accuracy of the network on the 1000 test images: 94.767%\n" + "Accuracy of the network on the 1000 test images: 92.733%\n" ] } ], @@ -634,6 +671,7 @@ }, { "cell_type": "markdown", + "id": "25cf2878", "metadata": {}, "source": [ "As we can see we have very good performance for having traing only for 1 epoch! Nevertheless, we are still using structured data... Let's see how we can build an autoencoder for unstructured data now." @@ -641,6 +679,7 @@ }, { "cell_type": "markdown", + "id": "3ce758e9", "metadata": {}, "source": [ "## Building a Continuous Convolutional Autoencoder\n", @@ -650,12 +689,13 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 12, + "id": "6ca0e929", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -705,6 +745,7 @@ }, { "cell_type": "markdown", + "id": "ab6f5987", "metadata": {}, "source": [ "Let's now build a simple autoencoder using the continuous convolutional filter. The data is clearly unstructured and a simple convolutional filter might not work without projecting or interpolating first. Let's first build and `Encoder` and `Decoder` class, and then a `Autoencoder` class that contains both." @@ -712,7 +753,8 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 13, + "id": "13e8ae0e", "metadata": {}, "outputs": [], "source": [ @@ -770,6 +812,7 @@ }, { "cell_type": "markdown", + "id": "eb097e34", "metadata": {}, "source": [ "Very good! Notice that in the `Decoder` class in the `forward` pass we have used the `.transpose()` method of the `ContinuousConvolution` class. This method accepts the `weights` for upsampling and the `grid` on where to upsample. Let's now build the autoencoder! We set the hidden dimension in the `hidden_dimension` variable. We apply the sigmoid on the output since the field value is between $[0, 1]$. " @@ -777,7 +820,8 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 14, + "id": "a4db89a7", "metadata": {}, "outputs": [], "source": [ @@ -803,6 +847,7 @@ }, { "cell_type": "markdown", + "id": "2df482a7", "metadata": {}, "source": [ "Let's now train the autoencoder, minimizing the mean square error loss and optimizing using Adam." @@ -810,28 +855,29 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 15, + "id": "8e2f20e7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "epoch [10/150] loss [0.0058]\n", - "epoch [20/150] loss [0.0031]\n", - "epoch [30/150] loss [0.0016]\n", - "epoch [40/150] loss [0.0013]\n", - "epoch [50/150] loss [0.001]\n", - "epoch [60/150] loss [0.00089]\n", - "epoch [70/150] loss [0.00078]\n", - "epoch [80/150] loss [0.00071]\n", - "epoch [90/150] loss [0.00066]\n", - "epoch [100/150] loss [0.00062]\n", - "epoch [110/150] loss [0.0006]\n", - "epoch [120/150] loss [0.00058]\n", - "epoch [130/150] loss [0.00056]\n", - "epoch [140/150] loss [0.00055]\n", - "epoch [150/150] loss [0.00054]\n" + "epoch [10/150] loss [0.012]\n", + "epoch [20/150] loss [0.0036]\n", + "epoch [30/150] loss [0.0018]\n", + "epoch [40/150] loss [0.0014]\n", + "epoch [50/150] loss [0.0012]\n", + "epoch [60/150] loss [0.001]\n", + "epoch [70/150] loss [0.0009]\n", + "epoch [80/150] loss [0.00082]\n", + "epoch [90/150] loss [0.00075]\n", + "epoch [100/150] loss [0.0007]\n", + "epoch [110/150] loss [0.00066]\n", + "epoch [120/150] loss [0.00063]\n", + "epoch [130/150] loss [0.00061]\n", + "epoch [140/150] loss [0.00059]\n", + "epoch [150/150] loss [0.00058]\n" ] } ], @@ -862,6 +908,7 @@ }, { "cell_type": "markdown", + "id": "a98ffb20", "metadata": {}, "source": [ "Let's visualize the two solutions side by side!" @@ -869,12 +916,13 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 16, + "id": "0269fedf", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -904,6 +952,7 @@ }, { "cell_type": "markdown", + "id": "206141f9", "metadata": {}, "source": [ "As we can see the two are really similar! We can compute the $l_2$ error quite easily as well:" @@ -911,14 +960,15 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 17, + "id": "ded8f91b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "l2 error: 4.09%\n" + "l2 error: 4.22%\n" ] } ], @@ -932,6 +982,7 @@ }, { "cell_type": "markdown", + "id": "c30996c4", "metadata": {}, "source": [ "More or less $4\\%$ in $l_2$ error, which is really low considering the fact that we use just **one** convolutional layer and a simple feedforward to decrease the dimension. Let's see now some peculiarity of the filter." @@ -939,6 +990,7 @@ }, { "cell_type": "markdown", + "id": "f76db3b5", "metadata": {}, "source": [ "### Filter for upsampling\n", @@ -948,12 +1000,13 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 18, + "id": "fcbbaec6", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -993,6 +1046,7 @@ }, { "cell_type": "markdown", + "id": "2cbf14b5", "metadata": {}, "source": [ "As we can see we have a very good approximation of the original function, even thought some noise is present. Let's calculate the error now:" @@ -1000,14 +1054,15 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 19, + "id": "ab505b75", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "l2 error: 8.41%\n" + "l2 error: 8.37%\n" ] } ], @@ -1017,6 +1072,7 @@ }, { "cell_type": "markdown", + "id": "465cbd16", "metadata": {}, "source": [ "### Autoencoding at different resolution\n", @@ -1025,12 +1081,13 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 20, + "id": "75ed28f5", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -1042,7 +1099,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "l2 error: 8.63%\n" + "l2 error: 8.50%\n" ] } ], @@ -1081,6 +1138,7 @@ }, { "cell_type": "markdown", + "id": "8e720e55", "metadata": {}, "source": [ "## What's next?\n", @@ -1094,7 +1152,8 @@ "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" }, "kernelspec": { - "display_name": "Python 3.9.0 64-bit", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -1107,7 +1166,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/tutorials/tutorial4/tutorial.py b/tutorials/tutorial4/tutorial.py index b927a10..bc5556c 100644 --- a/tutorials/tutorial4/tutorial.py +++ b/tutorials/tutorial4/tutorial.py @@ -3,7 +3,7 @@ # # Tutorial 4: continuous convolutional filter -# In this tutorial we will show how to use the Continouous 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) of Coscia Dario, Laura Meneghetti, Nicola Demo, Giovanni Stabile, and Gianluigi Rozza. +# 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). # First of all we import the modules needed for the tutorial, which include: # @@ -116,7 +116,7 @@ print(f"Filter input data has shape: {data.shape}") # # Suppose we would like to get an ouput with only one field, and let us fix the filter dimension to be $[0.1, 0.1]$. -# In[4]: +# In[3]: # filter dim @@ -138,7 +138,7 @@ cConv = ContinuousConvBlock(input_numb_field=number_input_fileds, # That's it! In just one line of code we have created the continuous convolutional filter. By default the `pina.model.FeedForward` neural network is intitialised, more on the [documentation](https://mathlab.github.io/PINA/_rst/fnn.html). In case the mesh doesn't change during training we can set the `optimize` flag equals to `True`, to exploit optimizations for finding the points to convolve. -# In[5]: +# In[4]: # creating the filter + optimization @@ -151,7 +151,7 @@ cConv = ContinuousConvBlock(input_numb_field=number_input_fileds, # Let's try to do a forward pass -# In[6]: +# In[5]: print(f"Filter input data has shape: {data.shape}") @@ -165,7 +165,7 @@ print(f"Filter output data has shape: {output.shape}") # If we don't want to use the default `FeedForward` neural network, we can pass a specified torch model in the `model` keyword as follow: # -# In[7]: +# In[6]: class SimpleKernel(torch.nn.Module): @@ -196,7 +196,7 @@ cConv = ContinuousConvBlock(input_numb_field=number_input_fileds, # # 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. -# In[8]: +# In[7]: from torch.utils.data import DataLoader, SubsetRandomSampler @@ -233,7 +233,7 @@ test_loader = DataLoader(train_data, batch_size=batch_size, # Let's now build a simple classifier. The MNIST dataset is composed by vectors of shape `[batch, 1, 28, 28]`, but we can image them as one field functions where the pixels $ij$ are the coordinate $x=i, y=j$ in a $[0, 27]\times[0,27]$ domain, and the pixels value are the field values. We just need a function to transform the regular tensor in a tensor compatible for the continuous filter: -# In[9]: +# In[8]: def transform_input(x): @@ -260,7 +260,7 @@ print(f"Transformed MNIST image shape: {image_transformed.shape}") # We can now build a simple classifier! We will use just one convolutional filter followed by a feedforward neural network -# In[11]: +# In[9]: # setting the seed @@ -302,7 +302,7 @@ net = ContinuousClassifier() # Let's try to train it using a simple pytorch training loop. We train for juts 1 epoch using Adam optimizer with a $0.001$ learning rate. -# In[14]: +# In[10]: # setting the seed @@ -338,7 +338,7 @@ for epoch in range(1): # loop over the dataset multiple times # Let's see the performance on the train set! -# In[15]: +# In[11]: correct = 0 @@ -363,7 +363,7 @@ print( # # Just as toy problem, we will now build an autoencoder for the following function $f(x,y)=\sin(\pi x)\sin(\pi y)$ on the unit circle domain centered in $(0.5, 0.5)$. We will also see the ability to up-sample (once trained) the results without retraining. Let's first create the input and visualize it, we will use firstly a mesh of $100$ points. -# In[16]: +# In[12]: # create inputs @@ -406,7 +406,7 @@ plt.show() # Let's now build a simple autoencoder using the continuous convolutional filter. The data is clearly unstructured and a simple convolutional filter might not work without projecting or interpolating first. Let's first build and `Encoder` and `Decoder` class, and then a `Autoencoder` class that contains both. -# In[19]: +# In[13]: class Encoder(torch.nn.Module): @@ -463,7 +463,7 @@ class Decoder(torch.nn.Module): # Very good! Notice that in the `Decoder` class in the `forward` pass we have used the `.transpose()` method of the `ContinuousConvolution` class. This method accepts the `weights` for upsampling and the `grid` on where to upsample. Let's now build the autoencoder! We set the hidden dimension in the `hidden_dimension` variable. We apply the sigmoid on the output since the field value is between $[0, 1]$. -# In[20]: +# In[14]: class Autoencoder(torch.nn.Module): @@ -488,7 +488,7 @@ net = Autoencoder() # Let's now train the autoencoder, minimizing the mean square error loss and optimizing using Adam. -# In[21]: +# In[15]: # setting the seed @@ -517,7 +517,7 @@ for epoch in range(max_epochs): # loop over the dataset multiple times # Let's visualize the two solutions side by side! -# In[22]: +# In[16]: net.eval() @@ -540,7 +540,7 @@ plt.show() # As we can see the two are really similar! We can compute the $l_2$ error quite easily as well: -# In[23]: +# In[17]: def l2_error(input_, target): @@ -556,7 +556,7 @@ print(f'l2 error: {l2_error(input_data[0, 0, :, -1], output[0, 0, :, -1]):.2%}') # # Suppose we have already the hidden dimension and we want to upsample on a differen grid with more points. Let's see how to do it: -# In[24]: +# In[18]: # setting the seed @@ -589,7 +589,7 @@ plt.show() # As we can see we have a very good approximation of the original function, even thought some noise is present. Let's calculate the error now: -# In[25]: +# In[19]: print(f'l2 error: {l2_error(input_data2[0, 0, :, -1], output[0, 0, :, -1]):.2%}') @@ -598,7 +598,7 @@ print(f'l2 error: {l2_error(input_data2[0, 0, :, -1], output[0, 0, :, -1]):.2%}' # ### Autoencoding at different resolution # In the previous example we already had the hidden dimension (of original input) and we used it to upsample. Sometimes however we have a more fine mesh solution and we simply want to encode it. This can be done without retraining! This procedure can be useful in case we have many points in the mesh and just a smaller part of them are needed for training. Let's see the results of this: -# In[26]: +# In[20]: # setting the seed diff --git a/tutorials/tutorial5/tutorial.ipynb b/tutorials/tutorial5/tutorial.ipynb index 60fbfce..b11276b 100644 --- a/tutorials/tutorial5/tutorial.ipynb +++ b/tutorials/tutorial5/tutorial.ipynb @@ -2,6 +2,7 @@ "cells": [ { "cell_type": "markdown", + "id": "e80567a6", "metadata": {}, "source": [ "# Tutorial 5: Fourier Neural Operator Learning" @@ -18,9 +19,19 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 1, + "id": "5f2744dc", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/sissa/apps/intelpython/2022.0.2/intelpython/latest/lib/python3.9/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.26.0)\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n" + ] + } + ], "source": [ "\n", "from scipy import io\n", @@ -36,6 +47,7 @@ }, { "cell_type": "markdown", + "id": "4cf5b181", "metadata": {}, "source": [ "## Data Generation\n", @@ -51,7 +63,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 2, "id": "2ffb8a4c", "metadata": {}, "outputs": [], @@ -78,13 +90,13 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 3, "id": "c8501b6f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -113,7 +125,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 4, "id": "8b27d283", "metadata": {}, "outputs": [], @@ -140,7 +152,7 @@ }, { "cell_type": "code", - "execution_count": 78, + "execution_count": 5, "id": "e34f18b0", "metadata": {}, "outputs": [ @@ -148,16 +160,19 @@ "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/cuda/__init__.py:611: UserWarning: Can't initialize NVML\n", + " warnings.warn(\"Can't initialize NVML\")\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", - "HPU available: False, using: 0 HPUs\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ + "HPU available: False, using: 0 HPUs\n", + "Missing logger folder: /u/n/ndemo/PINA/tutorials/tutorial5/lightning_logs\n", + "2023-10-17 10:41:03.316644: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", + "2023-10-17 10:41:03.333768: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n", + "2023-10-17 10:41:03.383188: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n", + "To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", + "2023-10-17 10:41:07.712785: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -171,25 +186,27 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 99: : 1it [00:00, 15.95it/s, v_num=85, mean_loss=0.105]" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "eb573678e5d94f0490ce09817a06f5cb", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", "output_type": "stream", "text": [ + "/u/n/ndemo/.local/lib/python3.9/site-packages/torch/_tensor.py:1386: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matrices or `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3614.)\n", + " ret = func(*args, **kwargs)\n", "`Trainer.fit` stopped: `max_epochs=100` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 99: : 1it [00:00, 15.53it/s, v_num=85, mean_loss=0.105]\n" - ] } ], "source": [ @@ -215,7 +232,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": 6, "id": "0e2a6aa4", "metadata": {}, "outputs": [ @@ -223,8 +240,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Final error training 56.06%\n", - "Final error testing 55.95%\n" + "Final error training 56.86%\n", + "Final error testing 56.82%\n" ] } ], @@ -254,7 +271,7 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 7, "id": "9af523a5", "metadata": {}, "outputs": [ @@ -262,10 +279,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "GPU available: False, used: False\n", + "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "IPU available: False, using: 0 IPUs\n", "HPU available: False, using: 0 HPUs\n", + "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n", "\n", " | Name | Type | Params\n", "----------------------------------------\n", @@ -279,11 +297,18 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 19: : 1it [00:02, 2.65s/it, v_num=84, mean_loss=0.0294]" - ] + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "0f7225d39f7241e692c6027c72adfd5f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Training: 0it [00:00, ?it/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" }, { "name": "stderr", @@ -291,13 +316,6 @@ "text": [ "`Trainer.fit` stopped: `max_epochs=20` reached.\n" ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Epoch 19: : 1it [00:02, 2.67s/it, v_num=84, mean_loss=0.0294]\n" - ] } ], "source": [ @@ -330,7 +348,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 8, "id": "58e2db89", "metadata": {}, "outputs": [ @@ -338,8 +356,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Final error training 26.05%\n", - "Final error testing 25.58%\n" + "Final error training 26.19%\n", + "Final error testing 25.89%\n" ] } ], @@ -361,6 +379,7 @@ }, { "cell_type": "markdown", + "id": "ba1dfa4b", "metadata": {}, "source": [ "## What's next?\n", @@ -374,7 +393,8 @@ "hash": "aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49" }, "kernelspec": { - "display_name": "Python 3.9.0 64-bit", + "display_name": "Python 3 (ipykernel)", + "language": "python", "name": "python3" }, "language_info": { @@ -387,7 +407,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.7" } }, "nbformat": 4, diff --git a/tutorials/tutorial5/tutorial.py b/tutorials/tutorial5/tutorial.py index 9abc516..12a8a12 100644 --- a/tutorials/tutorial5/tutorial.py +++ b/tutorials/tutorial5/tutorial.py @@ -6,8 +6,7 @@ # In this tutorial we are going to solve the Darcy flow 2d problem, presented in [Fourier Neural Operator for # Parametric Partial Differential Equation](https://openreview.net/pdf?id=c8P9NQVtmnO). First of all we import the modules needed for the tutorial. Importing `scipy` is needed for input output operation, run `pip install scipy` for installing it. -# In[29]: - +# In[1]: from scipy import io @@ -32,7 +31,7 @@ import matplotlib.pyplot as plt # Specifically, $u$ is the flow pressure, $k$ is the permeability field and $f$ is the forcing function. The Darcy flow can parameterize a variety of systems including flow through porous media, elastic materials and heat conduction. Here you will define the domain as a 2D unit square Dirichlet boundary conditions. The dataset is taken from the authors original reference. # -# In[36]: +# In[2]: # download the dataset @@ -49,7 +48,7 @@ y = torch.tensor(data['y'], dtype=torch.float)[0] # Let's visualize some data -# In[88]: +# In[3]: plt.subplot(1, 2, 1) @@ -63,7 +62,7 @@ plt.show() # We now create the neural operator class. It is a very simple class, inheriting from `AbstractProblem`. -# In[69]: +# In[4]: class NeuralOperatorSolver(AbstractProblem): @@ -80,7 +79,7 @@ problem = NeuralOperatorSolver() # # We will first solve the problem using a Feedforward neural network. We will use the `SupervisedSolver` for solving the problem, since we are training using supervised learning. -# In[78]: +# In[5]: # make model @@ -97,7 +96,7 @@ trainer.train() # The final loss is pretty high... We can calculate the error by importing `LpLoss`. -# In[79]: +# In[6]: from pina.loss import LpLoss @@ -117,7 +116,7 @@ print(f'Final error testing {err:.2f}%') # # We will now move to solve the problem using a FNO. Since we are learning operator this approach is better suited, as we shall see. -# In[70]: +# In[7]: # make model @@ -141,7 +140,7 @@ trainer.train() # We can clearly see that with 1/3 of the total epochs the loss is lower. Let's see in testing.. Notice that the number of parameters is way higher than a `FeedForward` network. We suggest to use GPU or TPU for a speed up in training. -# In[77]: +# In[8]: err = float(metric_err(u_train.squeeze(-1), solver.models[0](k_train).squeeze(-1)).mean())*100