code: def get_default_custom_config_dict():
      r"""Defines the default custom config dict."""
      return _DEFAULT_CUSTOM_CONFIG_DICT
  
imports: import copy
  import itertools
  import warnings
  import torch
  import torch.nn
  import torch.ao.nn.quantized
  from torch.ao.nn.intrinsic import _FusedModule
  from torch.ao.quantization.quantization_mappings import get_default_dynamic_quant_module_mappings, get_default_static_quant_module_mappings, get_default_static_quant_reference_module_mappings, get_default_qat_module_mappings, get_default_qconfig_propagation_list, no_observer_set, _has_special_act_post_process, _get_special_act_post_process
  from .utils import get_qparam_dict, has_no_children_ignoring_parametrizations
  from torch.ao.quantization.stubs import DeQuantStub, QuantWrapper
  from torch.ao.quantization.qconfig import _add_module_to_qconfig_obs_ctr, default_dynamic_qconfig, float16_dynamic_qconfig, float_qparams_weight_only_qconfig, float_qparams_weight_only_qconfig_4bit, _activation_is_memoryless
  from torch.nn.utils.parametrize import type_before_parametrizations
  from torch.ao.quantization.observer import _is_activation_post_process
  from torch.ao.quantization.observer import _is_activation_post_process
label_desc: Use image node_id 1 for calling a global function with example usage: get_default_custom_config_dict() and returns: _DEFAULT_CUSTOM_CONFIG_DICT