code: def _get_cat_config(
      dtype_configs: List[DTypeConfig],
  ) -> BackendPatternConfig:
      return (
          BackendPatternConfig(torch.cat)
          .set_observation_type(
              ObservationType.OUTPUT_SHARE_OBSERVER_WITH_INPUT
          )
          .set_dtype_configs(dtype_configs)
      )
  
imports: import copy
  import operator
  import torch
  import torch.nn.functional
  import torch.nn
  import torch.ao.nn.intrinsic
  import torch.ao.nn.intrinsic.qat
  import torch.ao.nn.qat
  import torch.ao.nn.quantized.reference
  from collections import namedtuple
  from typing import Callable, Dict, List, Union
  from .backend_config import BackendPatternConfig, DTypeConfig, DTypeWithConstraints, ObservationType
  from ..fuser_method_mappings import _sequential_wrapper2, fuse_conv_bn, fuse_conv_bn_relu, fuse_linear_bn, fuse_convtranspose_bn
label_desc: Use image node_id 4 for calling a global function with example usage: _get_cat_config(dtype_configs) and returns: BackendPatternConfig