espnet2.enh.layers.ncsnpp_utils.layers.Dense

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class espnet2.enh.layers.ncsnpp_utils.layers.Dense

Bases: Module

Linear layer with default_init.

This class implements a linear layer that utilizes the default_init initialization method. It is a subclass of PyTorch’s nn.Module and is designed to be used in neural network architectures.

None

__init__()

Initializes the Dense layer.

Examples

>>> dense_layer = Dense()
>>> input_tensor = torch.randn(10, 20)  # Batch size of 10, 20 features
>>> output_tensor = dense_layer(input_tensor)
>>> print(output_tensor.shape)
torch.Size([10, output_features])  # output_features depends on implementation

Initialize internal Module state, shared by both nn.Module and ScriptModule.