code: def CrossEntropyLossWithLogSoftmax():
      """Mean prediction-target cross-entropy for multiclass classification."""
      return cb.Serial(
          core.LogSoftmax(),
          _CrossEntropy(),
          _WeightedMean(),
          name="CrossEntropyLossWithLogSoftmax",
          sublayers_to_print=[],
      )
  
imports: from trax import fastmath
  from trax import shapes
  from trax.fastmath import numpy
  from trax.layers import base
  from trax.layers import combinators
  from trax.layers import core
label_desc: Use image node_id 14 for calling a global function with example usage: CrossEntropyLossWithLogSoftmax() and returns: cb