ctc_loss¶

dragon.vm.torch.nn.functional.ctc_loss(
  input,
  target,
  padding_mask=- 1,
  reduction='mean'
)[source]¶

Compute the ctc loss. [Graves & Gomez, 2006].

Parameters:

• input (dragon.vm.torch.Tensor) – The input tensor.
• target (dragon.vm.torch.Tensor) – The target tensor.
• padding_mask (int, optional, default=-1) – The mask for padding the redundant labels.
• reduction ({'none', 'mean', 'sum'}, optional) – The reduce method.

Returns:

dragon.vm.torch.Tensor – The loss.

See also

torch.nn.CTCLoss(…)