espnet2.enh.layers.complexnn.ComplexConv2d

source

class espnet2.enh.layers.complexnn.ComplexConv2d(in_channels, out_channels, kernel_size=(1, 1), stride=(1, 1), padding=(0, 0), dilation=1, groups=1, causal=True, complex_axis=1)

Bases: Module

ComplexConv2d.

in_channels: real+imag out_channels: real+imag kernel_size : input [B,C,D,T] kernel size in [D,T] padding : input [B,C,D,T] padding in [D,T] causal: if causal, will padding time dimension’s left side,

otherwise both

forward(inputs)

Defines the computation performed at every call.

Should be overridden by all subclasses.

NOTE

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.