ott.neural.networks.potentials.MLP.clone#
- MLP.clone(*, parent=None, _deep_clone=False, _reset_names=False, **updates)#
Creates a clone of this Module, with optionally updated arguments.
- NOTE: end users are encouraged to use the
copy
method.clone
is used primarily for internal routines, and
copy
offers simpler arguments and better defaults.
- Parameters:
parent (
Union
[Scope
,Module
,_Sentinel
,None
]) – The parent of the clone. The clone will have no parent if no explicit parent is specified._deep_clone (
bool
|WeakValueDictionary
) – A boolean or a weak value dictionary to control deep cloning of submodules. If True, submodules will be cloned recursively. If a weak value dictionary is passed, it will be used to cache cloned submodules. This flag is used by init/apply/bind to avoid scope leakage._reset_names (
bool
) – If True,name=None
is also passed to submodules when cloning. Resetting names in submodules is necessary when calling.unbind
.**updates – Attribute updates.
self (
TypeVar
(M
, bound= Module))
- Return type:
TypeVar
(M
, bound= Module)- Returns:
A clone of the this Module with the updated attributes and parent.
- NOTE: end users are encouraged to use the