espnet2.s2st.losses.ctc_loss.S2STCTCLoss

source

class espnet2.s2st.losses.ctc_loss.S2STCTCLoss(weight: float = 1.0)

Bases: AbsS2STLoss

CTC-based loss for S2ST.

This class implements a Connectionist Temporal Classification (CTC) loss for sequence-to-sequence translation tasks. It inherits from the abstract class AbsS2STLoss. The primary purpose of this loss is to calculate the weighted loss for training models in sequence-to-sequence tasks.

weight

A scalar weight to scale the final loss. Default is 1.0.

• Type: float

• Parameters:weight (float) – The weight for the loss calculation. Default is 1.0.

• Returns: The computed loss value scaled by the weight.

• Return type: float

####### Examples

>>> loss_function = S2STCTCLoss(weight=0.5)
>>> loss_value = loss_function.forward(loss=2.0)
>>> print(loss_value)  # Output: 2.0

NOTE

This implementation currently provides a dummy CTC loss that only returns the input loss value scaled by the weight.

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

forward()

Computes the forward pass for the CTC-based loss in S2ST.

This method currently serves as a placeholder for the actual forward computation. It simply returns the input loss value. In future implementations, this method should be expanded to perform the necessary calculations for the CTC loss.

• Parameters:loss (float) – The input loss value to be returned.
• Returns: The input loss value, unchanged.
• Return type: float

####### Examples

>>> loss_value = 0.5
>>> result = forward(loss_value)
>>> print(result)
0.5

NOTE

This is a dummy implementation and should be replaced with the actual computation logic.