class_docstr: Same as `LabelSmoothingCrossEntropy`, but flattens input and target.
docstr: `LabelSmoothingCrossEntropy`'s fused activation function applied to model output
docstr_tok: ["`","LabelSmoothingCrossEntropy","`","'s","fused","activation","function","applied","to","model","output"]
code: def activation(self, out: Tensor) -> Tensor:
      "`LabelSmoothingCrossEntropy`'s fused activation function applied to model output"
      return F.softmax(out, dim=-1)
  
imports: from __future__ import annotations
  from .imports import *
  from .torch_imports import *
  from .torch_core import *
  from .layers import *
label_desc: Use image node_id 2 for calling the LabelSmoothingCrossEntropyFlat obj's underlying member method code with example usage: obj.activation(out) and returns: F