deeplay.module Module

Functions

after_build(func)	Decorator for methods that will be run after build instead of immediately.
after_init(func)	Decorator for methods that will be run after init _and_ immediately.
builder(cls, args, kwargs)
not_top_level(cls, obj)
stateful(func)	Decorator for methods modify the object state.
warn(message[, category, stacklevel, source])	Issue a warning, or maybe ignore it or raise an exception.

Classes

Config(*args, **kwargs)
ConfigItem(source, value)
ConfigItemList([iterable])
Data([x, edge_index, edge_attr, y, pos, time])	A data object describing a homogeneous graph. The data object can hold node-level, link-level and graph-level attributes. In general, Data tries to mimic the behavior of a regular :python:`Python` dictionary. In addition, it provides useful functionality for analyzing graph structures, and provides basic PyTorch tensor functionalities. See here for the accompanying tutorial.
DeeplayModule(*args, **kwargs)	A base class for creating configurable, extensible modules with dynamic initialization and argument management.
DetachedConfigItem(source, value)
ExtendedConstructorMeta(name, bases, attrs)
Selection(*args, **kwargs)
partial	partial(func, *args, **keywords) - new function with partial application of the given arguments and keywords.