braindecode.modules.CausalConv1d#

class braindecode.modules.CausalConv1d(in_channels, out_channels, kernel_size, dilation=1, **kwargs)[source]#

Causal 1-dimensional convolution

Code modified from [1] and [2].

Parameters:

  • in_channels (int) – Input channels.

  • out_channels (int) – Output channels (number of filters).

  • kernel_size (int) – Kernel size.

  • dilation (int, optional) – Dilation (number of elements to skip within kernel multiplication). Default to 1.

  • **kwargs – Other keyword arguments to pass to torch.nn.Conv1d, except for padding!!

References

Methods

forward(X)[source]#

Define 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.