nn.combinators.Sequential

class nn.combinators.Sequential(*args, **kwargs)[source]

Bases:

Build a sequential stack of modules by connecting them end-to-end

Sequential accepts any number of modules. The shapes of the modules must be compatible – the output size size_out of each module must match the input size size_in of the following module.

Examples

Build a Sequential stack will be returned a Module, containing mod0, mod1 and mod2. When evolving this stack, signals will be passed through mod0, then mod1, then mod2:

>>> Sequential(mod0, mod1, mod2)

Index into a Sequential stack using Python indexing:

>>> mod = Sequential(mod0, mod1, mod2)
>>> mod[0]
A module with shape (xx, xx)

Parameters: *mods – Any number of modules to connect. The size_out attribute of one module must match the size_in attribute of the following module.
Returns: A Module subclass object that encapsulates the provided modules

__init__ = <method-wrapper '__init__' of function object>