code: def get_onednn_backend_config() -> BackendConfig:
      """
      Return the `BackendConfig` for PyTorch's native ONEDNN backend.
      """
      return (
          BackendConfig("onednn")
          .set_backend_pattern_configs(conv_configs)
          .set_backend_pattern_configs(linear_configs)
          .set_backend_pattern_configs(
              _get_binary_op_configs(binary_op_dtype_configs)
          )
          .set_backend_pattern_config(
              _get_cat_config(default_op_dtype_configs)
          )
          .set_backend_pattern_configs(
              _get_default_op_configs(default_op_dtype_configs)
          )
          .set_backend_pattern_configs(
              _get_fixed_qparams_op_configs(
                  fixed_qparams_op_dtype_configs
              )
          )
          .set_backend_pattern_configs(
              _get_share_qparams_op_configs(
                  share_qparams_op_dtype_configs
              )
          )
          .set_backend_pattern_configs(
              _get_bn_configs(default_op_dtype_configs)
          )
          .set_backend_pattern_configs(
              _get_ln_configs(layer_norm_op_dtype_configs)
          )
          .set_backend_pattern_configs(
              _get_rnn_op_configs(rnn_op_dtype_configs)
          )
          .set_backend_pattern_configs(
              _get_embedding_op_configs(embedding_op_dtype_configs)
          )
      )
  
imports: import torch
  import torch.nn
  import torch.ao.nn.intrinsic
  import torch.nn.functional
  import torch.ao.nn.quantized.reference
  from ._common_operator_config_utils import _get_conv_configs, _get_linear_configs, _get_binary_op_configs, _get_bn_configs, _get_cat_config, _get_default_op_configs, _get_embedding_op_configs, _get_fixed_qparams_op_configs, _get_ln_configs, _get_rnn_op_configs, _get_share_qparams_op_configs
  from .backend_config import BackendPatternConfig, BackendConfig, DTypeConfig, ObservationType
  from ..fuser_method_mappings import _sequential_wrapper2
  import operator
  from torch.ao.quantization.utils import MatchAllNode
  import itertools
label_desc: Use image node_id 27 for calling a global function with example usage: get_onednn_backend_config() and returns: BackendConfig