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tutorials/tutorial13/tutorial.py
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12
tutorials/tutorial13/tutorial.py
vendored
@@ -2,6 +2,9 @@
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# coding: utf-8
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# # Tutorial: Multiscale PDE learning with Fourier Feature Network
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#
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# [](https://colab.research.google.com/github/mathLab/PINA/blob/master/tutorials/tutorial13/tutorial.ipynb)
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#
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# This tutorial presents how to solve with Physics-Informed Neural Networks (PINNs)
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# a PDE characterized by multiscale behaviour, as
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# presented in [*On the eigenvector bias of Fourier feature networks: From regression to solving
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@@ -13,6 +16,15 @@
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# In[1]:
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## routine needed to run the notebook on Google Colab
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try:
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import google.colab
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IN_COLAB = True
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except:
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IN_COLAB = False
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if IN_COLAB:
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get_ipython().system('pip install "pina-mathlab"')
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import torch
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from pina import Condition, Plotter, Trainer, Plotter
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