LazyConv1d#

classtorch.nn.LazyConv1d(out_channels,kernel_size,stride=1,padding=0,dilation=1,groups=1,bias=True,padding_mode='zeros',device=None,dtype=None)[source]#

Atorch.nn.Conv1d module with lazy initialization of thein_channels argument.

Thein_channels argument of theConv1d is inferred from theinput.size(1).The attributes that will be lazily initialized areweight andbias.

Check thetorch.nn.modules.lazy.LazyModuleMixin for further documentationon lazy modules and their limitations.

Parameters

• out_channels (int) – Number of channels produced by the convolution

• kernel_size (int ortuple) – Size of the convolving kernel

• stride (int ortuple,optional) – Stride of the convolution. Default: 1

• padding (int ortuple,optional) – Zero-padding added to both sides ofthe input. Default: 0

• dilation (int ortuple,optional) – Spacing between kernelelements. Default: 1

• groups (int,optional) – Number of blocked connections from inputchannels to output channels. Default: 1

• bias (bool,optional) – IfTrue, adds a learnable bias to theoutput. Default:True

• padding_mode (str,optional) –'zeros','reflect','replicate' or'circular'. Default:'zeros'

See also

torch.nn.Conv1d andtorch.nn.modules.lazy.LazyModuleMixin

cls_to_become[source]#

alias ofConv1d