update rst
This commit is contained in:
Dario Coscia
committed by
Nicola Demo
Nicola Demo
parent
65534c998a
commit
9a26c94e07
@@ -18,12 +18,14 @@ The pipeline to solve differential equations with PINA follows just five steps:
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5. Train the model with the PINA :doc:`Trainer <solvers/solver_interface>`, enhance the train with `Callback`_
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Training and Datamodules
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-------------------------
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Trainer, Dataset and Datamodule
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--------------------------------
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.. toctree::
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:titlesonly:
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Trainer <trainer.rst>
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Dataset <data/dataset.rst>
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DataModule <data/data_module.rst>
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Data Types
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------------
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@@ -71,36 +73,45 @@ Models
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:titlesonly:
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:maxdepth: 5
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Network <models/network.rst>
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KernelNeuralOperator <models/base_no.rst>
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FeedForward <models/fnn.rst>
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MultiFeedForward <models/multifeedforward.rst>
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ResidualFeedForward <models/fnn_residual.rst>
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Spline <models/spline.rst>
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DeepONet <models/deeponet.rst>
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MIONet <models/mionet.rst>
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FourierIntegralKernel <models/fourier_kernel.rst>
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FNO <models/fno.rst>
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AveragingNeuralOperator <models/avno.rst>
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LowRankNeuralOperator <models/lno.rst>
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FeedForward <model/feed_forward.rst>
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MultiFeedForward <model/multi_feed_forward.rst>
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ResidualFeedForward <model/residual_feed_forward.rst>
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Spline <model/spline.rst>
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DeepONet <model/deeponet.rst>
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MIONet <model/mionet.rst>
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KernelNeuralOperator <model/kernel_neural_operator.rst>
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FourierIntegralKernel <model/fourier_integral_kernel.rst>
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FNO <model/fourier_neural_operator.rst>
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AveragingNeuralOperator <model/average_neural_operator.rst>
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LowRankNeuralOperator <model/low_rank_neural_operator.rst>
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GraphNeuralOperator <model/>
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Layers
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Blocks
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-------------
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.. toctree::
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:titlesonly:
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Residual layer <layers/residual.rst>
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EnhancedLinear layer <layers/enhanced_linear.rst>
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Spectral convolution <layers/spectral.rst>
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Fourier layers <layers/fourier.rst>
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Averaging layer <layers/avno_layer.rst>
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Low Rank layer <layers/lowrank_layer.rst>
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Continuous convolution <layers/convolution.rst>
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Proper Orthogonal Decomposition <layers/pod.rst>
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Periodic Boundary Condition Embedding <layers/pbc_embedding.rst>
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Fourier Feature Embedding <layers/fourier_embedding.rst>
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Radial Basis Function Interpolation <layers/rbf_layer.rst>
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Residual Block <model/block/residual.rst>
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EnhancedLinear Block <model/block/enhanced_linear.rst>
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Spectral Convolution Block <model/block/spectral.rst>
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Fourier Block <model/block/fourier_block.rst>
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Averaging Block <model/block/average_neural_operator_block.rst>
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Low Rank Block <model/block/low_rank_block.rst>
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Continuous Convolution Block <model/block/convolution.rst>
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Reduction and Embeddings
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--------------------------
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.. toctree::
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:titlesonly:
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Proper Orthogonal Decomposition <model/block/pod_block.rst>
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Periodic Boundary Condition Embedding <model/block/pbc_embedding.rst>
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Fourier Feature Embedding <model/block/fourier_embedding.rst>
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Radial Basis Function Interpolation <model/block/rbf_block.rst>
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Adaptive Activation Functions
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-------------------------------
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@@ -123,7 +134,19 @@ Adaptive Activation Functions
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Adaptive Exp <adaptive_function/AdaptiveExp.rst>
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Equations and Operators
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Equations
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-------------
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.. toctree::
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:titlesonly:
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EquationInterface <equation.equation_interface.rst>
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Equation <equation.equation.rst>
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SystemEquation <equation.system_equation.rst>
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Equation Factory <equation.equation_factory.rst>
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Differential Operators
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-------------------------
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.. toctree::
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@@ -133,7 +156,7 @@ Equations and Operators
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Differential Operators <operators.rst>
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Problem
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Problems
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--------------
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.. toctree::
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@@ -144,8 +167,8 @@ Problem
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TimeDependentProblem <problem/timedepproblem.rst>
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ParametricProblem <problem/parametricproblem.rst>
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Domains
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-----------------
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Geometrical Domains
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---------------------
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.. toctree::
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:titlesonly:
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@@ -155,8 +178,8 @@ Domains
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EllipsoidDomain <domain/ellipsoid.rst>
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SimplexDomain <domain/simplex.rst>
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domain set operations
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------------------------
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Domain Operations
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------------------
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.. toctree::
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:titlesonly:
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@@ -178,8 +201,8 @@ Callback
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Refinment callback <callback/adaptive_refinment_callback.rst>
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Weighting callback <callback/linear_weight_update_callback.rst>
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Metrics and Losses
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--------------------
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Losses and Weightings
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---------------------
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.. toctree::
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:titlesonly:
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@@ -187,3 +210,5 @@ Metrics and Losses
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LossInterface <loss/loss_interface.rst>
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LpLoss <loss/lploss.rst>
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PowerLoss <loss/powerloss.rst>
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WeightingInterface <loss/weighting_interface.rst>
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ScalarWeighting <loss/scalar_weighting.rst>
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