code: def _compute_loss_manual(
      self,
      logits,
      targets,
      ignore_index=-100,
      weight=None,
      reduce=True,
      beta=None,
  ):
      return (1.0 - beta) * self._compute_negative_cross_entropy_loss(
          logits,
          targets,
          weight=weight,
          reduce=reduce,
          ignore_index=ignore_index,
      ) - beta * self._compute_negative_kl_divergence(
          logits, targets, reduce=reduce, ignore_index=ignore_index
      )
  
file_path: pytext/pytext/loss/tests/label_smoothing_loss_test.py
imports: import caffe2.python.hypothesis_test_util
  import numpy
  import torch
  from pytext.loss.loss import LabelSmoothedCrossEntropyLoss, SourceType
  from scipy.special import logsumexp
label_desc: Use image node_id 5 for calling the LabelSmoothedCrossEntropyLossTest obj's underlying member method code with example usage: obj._compute_loss_manual(logits, targets, ignore_index, weight, reduce, beta) and returns: unknown