ott.neural.models.MLP.setup

Contents

ott.neural.models.MLP.setup#

MLP.setup()#

Initializes a Module lazily (similar to a lazy __init__).

setup is called once lazily on a module instance when a module is bound, immediately before any other methods like __call__ are invoked, or before a setup-defined attribute on self is accessed.

This can happen in three cases: :rtype: None

  1. Immediately when invoking apply(), init() or init_and_output().

  2. Once the module is given a name by being assigned to an attribute of another module inside the other module’s setup method (see __setattr__()):

    >>> class MyModule(nn.Module):
    ...   def setup(self):
    ...     submodule = nn.Conv(...)
    
    ...     # Accessing `submodule` attributes does not yet work here.
    
    ...     # The following line invokes `self.__setattr__`, which gives
    ...     # `submodule` the name "conv1".
    ...     self.conv1 = submodule
    
    ...     # Accessing `submodule` attributes or methods is now safe and
    ...     # either causes setup() to be called once.
    
  3. Once a module is constructed inside a method wrapped with compact(), immediately before another method is called or setup defined attribute is accessed.

Return type:

None