neuralop.layers.skip_connections.skip_connection
- neuralop.layers.skip_connections.skip_connection(in_features, out_features, n_dim=2, bias=False, skip_type='soft-gating')[source]
A wrapper for several types of skip connections. Returns an nn.Module skip connections, one of {‘identity’, ‘linear’, soft-gating’}
- Parameters:
- in_featuresint
Number of input features
- out_featuresint
Number of output features
- n_dimint, optional
Dimensionality of the input (excluding batch-size and channels). n_dim=2 corresponds to having Module2D, by default 2
- biasbool, optional
Whether to use a bias, by default False
- skip_type{‘identity’, ‘linear’, ‘soft-gating’}, optional
Kind of skip connection to use. Options: ‘identity’, ‘linear’, ‘soft-gating’, by default “soft-gating”
- Returns:
- nn.Module
module that takes in x and returns skip(x)