update rsts

docs/source/_tutorial.rst

@@ -9,10 +9,10 @@ Getting started with PINA
    :maxdepth: 3
    :titlesonly:
 
-   Introduction to PINA for Physics Informed Neural Networks training <tutorials/tutorial1/tutorial.rst>
-   Introduction to PINA Equation class <tutorials/tutorial12/tutorial.rst>
-   PINA and PyTorch Lightning, training tips and visualizations <tutorials/tutorial11/tutorial.rst>
-   Building custom geometries with PINA Location class <tutorials/tutorial6/tutorial.rst>
+   `Introduction to PINA for Physics Informed Neural Networks training <tutorials/tutorial1/tutorial.html>`_
+   `Introduction to PINA Equation class <tutorials/tutorial12/tutorial.html>`_
+   `PINA and PyTorch Lightning, training tips and visualizations <tutorials/tutorial11/tutorial.html>`_
+   `Building custom geometries with PINA Location class <tutorials/tutorial6/tutorial.html>`_
 
 
 Physics Informed Neural Networks
@@ -21,11 +21,11 @@ Physics Informed Neural Networks
    :maxdepth: 3
    :titlesonly:
 
-   Two dimensional Poisson problem using Extra Features Learning<tutorials/tutorial2/tutorial.rst>
-   Two dimensional Wave problem with hard constraint<tutorials/tutorial3/tutorial.rst>
-   Resolution of a 2D Poisson inverse problem<tutorials/tutorial7/tutorial.rst>
-   Periodic Boundary Conditions for Helmotz Equation<tutorials/tutorial9/tutorial.rst>
-   Multiscale PDE learning with Fourier Feature Network<tutorials/tutorial13/tutorial.rst>
+   `Two dimensional Poisson problem using Extra Features Learning <tutorials/tutorial2/tutorial.html>`_
+   `Two dimensional Wave problem with hard constraint <tutorials/tutorial3/tutorial.html>`_
+   `Resolution of a 2D Poisson inverse problem <tutorials/tutorial7/tutorial.html>`_
+   `Periodic Boundary Conditions for Helmotz Equation <tutorials/tutorial9/tutorial.html>`_
+   `Multiscale PDE learning with Fourier Feature Network <tutorials/tutorial13/tutorial.html>`_
 
 Neural Operator Learning
 ------------------------
@@ -33,8 +33,8 @@ Neural Operator Learning
    :maxdepth: 3
    :titlesonly:
 
-   Two dimensional Darcy flow using the Fourier Neural Operator<tutorials/tutorial5/tutorial.rst>
-   Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator<tutorials/tutorial10/tutorial.rst>
+   `Two dimensional Darcy flow using the Fourier Neural Operator <tutorials/tutorial5/tutorial.html>`_
+   `Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator <tutorials/tutorial10/tutorial.html>`_
 
 Supervised Learning
 -------------------
@@ -42,5 +42,5 @@ Supervised Learning
    :maxdepth: 3
    :titlesonly:
 
-   Unstructured convolutional autoencoder via continuous convolution<tutorials/tutorial4/tutorial.rst>
-   POD-RBF and POD-NN for reduced order modeling<tutorials/tutorial8/tutorial.rst>
+   `Unstructured convolutional autoencoder via continuous convolution <tutorials/tutorial4/tutorial.html>`_
+   `POD-RBF and POD-NN for reduced order modeling <tutorials/tutorial8/tutorial.html>`_