base module

Full Documentation for hippynn.graphs.nodes.base.base module. Click here for a summary page.

Base nodes for sublcassing.

class AddNode(left, right)[source]

Bases: BinNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(add)

class AtLeast2D(parents, *args, **kwargs)[source]

Bases: SingleNode

index_state: IdxType | None = 'Unlabeled'

torch_module: torch.nn.Module = AtLeast2D()

class DivNode(left, right)[source]

Bases: BinNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(truediv)

class InputNode(name=None, db_name=None, index_state=None)[source]

Bases: SingleNode

input_names = (): Node for getting information for the database.

input_type_str = 'Input'

requires_grad = False

class InvNode(in_node)[source]

Bases: UnaryNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(invert)

class LossInputNode(name, origin_node, db_name)[source]

Bases: InputNode

Node for getting information from the model (predicted) or database (true) into the loss.

class LossPredNode(name, origin_node, db_name)[source]: Bases: LossInputNode

class LossTrueNode(name, origin_node, db_name)[source]

Bases: LossInputNode

property main_output

class MulNode(left, right)[source]

Bases: BinNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(mul)

class NegNode(in_node)[source]

Bases: UnaryNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(neg)

class Node(name, parents, db_name=None, module=None)[source]: Bases: _NodeFunctions, _NodeAlgebra

class PowNode(left, right)[source]

Bases: BinNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(pow)

class SingleNode(name, parents, db_name=None, module=None)[source]

Bases: Node, _DeprecatedNamesMixin

property db_name

index_state: IdxType | None = 'Unlabeled'

property main_output

property pred

property true

class SubNode(left, right)[source]

Bases: BinNode, SingleNode, _AlgebraicOperation

torch_module: torch.nn.Module = LambdaModule(sub)

class ValueNode(value, convert=True)[source]

Bases: SingleNode

index_state: IdxType | None = 'Scalar'