phlower.nn.Proportional

class phlower.nn.Proportional(nodes)

Bases: IPhlowerCoreModule, Module

Proportional, i.e., strictly linear, layer

Parameters:

nodes (list[int]) – List of feature dimension sizes (The last value of tensor shape).

Examples

>>> proportional = Proportional(nodes=[10, 20, 30])
>>> proportional(data)

Methods

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

Attributes

T_destination
call_super_init
dump_patches
training

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

forward function which overloads torch.nn.Module

Parameters:

• data (IPhlowerTensorCollections) – IPhlowerTensorCollections data which receives from predecessors

• field_data (ISimulationField | None) – ISimulationField | None Constant information through training or prediction

Returns:

Tensor object

Return type:

PhlowerTensor

classmethod from_setting(setting)

Generate model from setting object

Parameters:

setting (ProportionalSetting) – ProportionalSetting setting object

Returns:

Proportional object

Return type:

Self

classmethod get_nn_name()

Return neural network name

Returns:

name

Return type:

str