opto.trace.containers

Module Contents

Classes

NodeContainer	An identifier for a container of nodes.
ParameterContainer	A container of parameter nodes.
Seq	Seq is defined as having a length and an index. Python’s list/tuple will be converted to Seq
Map	Map is defined as key and value Python’s dict will be converted to Map

Functions

trainable_method

API

class NodeContainer

An identifier for a container of nodes.

trainable_method(method)

class ParameterContainer

Bases: opto.trace.containers.NodeContainer

A container of parameter nodes.

parameters()

Return a flattned list of all the parameters in the model’s parameters_dict, useful for optimization.

parameters_dict()

Return a dictionary of all the parameters in the model, including both trainable and non-trainable parameters. The dict contains ParameterNodes or ParameterContainers.

class Seq(*args)

Bases: collections.UserList, opto.trace.containers.ParameterContainer

Seq is defined as having a length and an index. Python’s list/tuple will be converted to Seq

Initialization

parameters_dict()

Return a dictionary of all the parameters in the model, including both trainable and non-trainable parameters. The dict contains ParameterNodes or ParameterContainers.

class Map(mapping)

Bases: collections.UserDict, opto.trace.containers.ParameterContainer

Map is defined as key and value Python’s dict will be converted to Map

Initialization

parameters_dict()

Return a dictionary of all the parameters in the model, including both trainable and non-trainable parameters. The dict contains ParameterNodes or ParameterContainers.