phlower.nn.MLP

class phlower.nn.MLP(nodes, activations=None, dropouts=None, bias=True)

Bases: IPhlowerCoreModule, Module

Multi Layer Perceptron

Methods

forward(data, *[, field_data, supports])	forward function which overloads torch.nn.Module
from_setting(setting)	Generate MLP from setting object
get_nn_name()	Return neural network name

Attributes

T_destination
call_super_init
dump_patches
training

Parameters:

• nodes (list[int])

• activations (list[str] | None)

• dropouts (list[float] | None)

• bias (bool)

forward(data, *, field_data=None, supports=None, **kwards)

forward function which overloads torch.nn.Module

Parameters:

• data (IPhlowerTensorCollections) – data which receives from predecessors

• supports (dict[str, PhlowerTensor], optional) – Graph object. Defaults to None.

• field_data (ISimulationField | None)

Returns:

Tensor object

Return type:

PhlowerTensor

classmethod from_setting(setting)

Generate MLP from setting object

Parameters:

setting (MLPSetting) – setting object

Returns:

MLP object

Return type:

Self

classmethod get_nn_name()

Return neural network name

Returns:

name

Return type:

str