Network#

class Network(model, input_variables, output_variables, extra_features=None)[source]#

Bases: Module

Network class with standard forward method and possibility to pass extra features. This class is used internally in PINA to convert any torch.nn.Module s in a PINA module.

Parameters:

  • model (torch.nn.Module) – The torch model to convert in a PINA model.

  • input_variables (list(str)) – The input variables of the AbstractProblem, whose type depends on the type of domain (spatial, temporal, and parameter).

  • output_variables (list(str)) – The output variables of the AbstractProblem, whose type depends on the problem setting.

  • extra_features (list(torch.nn.Module)) – List of torch models to augment the input, defaults to None.

forward(x)[source]#

Forward method for Network class. This class implements the standard forward method, and it adds the possibility to pass extra features. All the PINA models forward s are overriden by this class, to enable pina.label_tensor.LabelTensor labels extraction.

Parameters:

x (torch.Tensor) – Input of the network.

Return torch.Tensor:

Output of the network.

forward_map(x)[source]#

Forward method for Network class when the input is a tuple. This class is simply a forward with the input casted as a tuple or list :class`torch.Tensor`. All the PINA models forward s are overriden by this class, to enable pina.label_tensor.LabelTensor labels extraction.

Parameters:

x (list (torch.Tensor) | tuple(torch.Tensor)) – Input of the network.

Return torch.Tensor:

Output of the network.

Note

This function does not extract the input variables, all the variables are used for both tensors. Output variables are correctly applied.