ObservationType
class torch.ao.quantization.backend_config.ObservationType(value)
An enum that represents different ways of how an operator/operator
   pattern should be observed
OUTPUT_SHARE_OBSERVER_WITH_INPUT = 1
  this means the output will use the same observer instance as
  input, based on qconfig.activation example: torch.cat, maxpool

OUTPUT_USE_DIFFERENT_OBSERVER_AS_INPUT = 0
  this means input and output are observed with different
  observers, based on qconfig.activation example: conv, linear,
  softmax
