code: def get_default_output_activation_post_process_map(
      is_training,
  ) -> Dict[Pattern, ObserverBase]:
      if is_training:
          return copy.copy(_DEFAULT_OUTPUT_FAKE_QUANTIZE_MAP)
      else:
          return copy.copy(_DEFAULT_OUTPUT_OBSERVER_MAP)
  
file_path: pytorch/torch/ao/quantization/fx/pattern_utils.py
imports: from collections import OrderedDict
  from typing import Dict, Any
  from torch.ao.quantization.utils import Pattern
  from ..fake_quantize import FixedQParamsFakeQuantize
  from ..observer import ObserverBase
  import copy
label_desc: Use image node_id 5 for calling a global function with example usage: get_default_output_activation_post_process_map(is_training) and returns: copy, copy