ParameterList#

classtorch.nn.modules.container.ParameterList(values=None)[source]#

Holds parameters in a list.

ParameterList can be used like a regular Pythonlist, but Tensors that areParameter are properly registered,and will be visible by allModule methods.

Note that the constructor, assigning an element of the list, theappend() method and theextend()method will convert anyTensor intoParameter.

Parameters

parameters (iterable,optional) – an iterable of elements to add to the list.

Example:

classMyModule(nn.Module):def__init__(self)->None:super().__init__()self.params=nn.ParameterList([nn.Parameter(torch.randn(10,10))foriinrange(10)])defforward(self,x):# ParameterList can act as an iterable, or be indexed using intsfori,pinenumerate(self.params):x=self.params[i//2].mm(x)+p.mm(x)returnx

append(value)[source]#

Append a given value at the end of the list.

Parameters

value (Any) – value to append

Return type

Self

extend(values)[source]#

Append values from a Python iterable to the end of the list.

Parameters

values (iterable) – iterable of values to append

Return type

Self

extra_repr()[source]#

Return the extra representation of the module.

Return type

str