ModuleDict¶
- class torch.nn.ModuleDict(modules=None)[source]¶
Holds submodules in a dictionary.
ModuleDict
can be indexed like a regular Python dictionary, but modules it contains are properly registered, and will be visible by allModule
methods.ModuleDict
is an ordered dictionary that respectsthe order of insertion, and
in
update()
, the order of the mergedOrderedDict
,dict
(started from Python 3.6) or anotherModuleDict
(the argument toupdate()
).
Note that
update()
with other unordered mapping types (e.g., Python’s plaindict
before Python version 3.6) does not preserve the order of the merged mapping.- Parameters:
modules (iterable, optional) – a mapping (dictionary) of (string: module) or an iterable of key-value pairs of type (string, module)
Example:
class MyModule(nn.Module): def __init__(self): super().__init__() self.choices = nn.ModuleDict({ 'conv': nn.Conv2d(10, 10, 3), 'pool': nn.MaxPool2d(3) }) self.activations = nn.ModuleDict([ ['lrelu', nn.LeakyReLU()], ['prelu', nn.PReLU()] ]) def forward(self, x, choice, act): x = self.choices[choice](x) x = self.activations[act](x) return x
- update(modules)[source]¶
Update the
ModuleDict
with the key-value pairs from a mapping or an iterable, overwriting existing keys.Note
If
modules
is anOrderedDict
, aModuleDict
, or an iterable of key-value pairs, the order of new elements in it is preserved.