docstr: Output (gradients) of layers in the backward pass as a :class:`ValueCollection`
docstr_tok: ["Output","(","gradients",")","of","layers","in","the","backward","pass","as","a",":","class",":","`","ValueCollection","`"]
code: def backward_output(self):
      """
      Output (gradients) of layers in the backward pass as a :class:`ValueCollection`
      """
      return ValueCollection(
          self._backward_output,
          sort_keys(list(self._backward_output.keys())),
      )
  
imports: from typing import Callable, Dict, List, TYPE_CHECKING
  from labml.internal.util.strings import is_pattern_match
label_desc: Use image node_id 8 for calling the ModelProbe obj's underlying member method code with example usage: obj.backward_output() and returns: ValueCollection