espnet2.legacy.nets.pytorch_backend.transducer.blocks.build_input_layer
Less than 1 minute
espnet2.legacy.nets.pytorch_backend.transducer.blocks.build_input_layer
espnet2.legacy.nets.pytorch_backend.transducer.blocks.build_input_layer(block: Dict[str, Any], pos_enc_class: Module, padding_idx: int) → Tuple[Conv2dSubsampling | VGG2L | Sequential, int]
Build input layer.
- Parameters:
- block – Architecture definition of input layer.
- pos_enc_class – Positional encoding class.
- padding_idx – Padding symbol ID for embedding layer (if provided).
- Returns: Input layer module. subsampling_factor: Subsampling factor.