code: def check_sequence_concat_combiner_requirements(
      config: "ModelConfig",
  ) -> None:  # noqa: F821
      """Checks that sequence concat combiner has at least one input feature that's sequential."""
      if config.model_type != MODEL_ECD:
          return
      if config.combiner != "sequence_concat":
          return
      has_sequence_input = False
      for input_feature in config.input_features:
          if input_feature.type in SEQUENCE_OUTPUT_FEATURE_TYPES:
              has_sequence_input = True
              break
      if not has_sequence_input:
          raise ConfigValidationError(
              "Sequence concat combiner should only be used for at least one sequential input feature."
          )
  
imports: from abc import ABC, abstractmethod
  from re import findall
  from typing import Callable, TYPE_CHECKING
  from transformers import AutoConfig
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BINARY, CATEGORY, IMAGE, IN_MEMORY, MIN_QUANTIZATION_BITS_FOR_MERGE_AND_UNLOAD, MODEL_ECD, MODEL_GBM, MODEL_LLM, NUMBER, SEQUENCE, SET, TEXT, TIMESERIES, VECTOR
  from ludwig.error import ConfigValidationError
  from ludwig.utils.metric_utils import get_feature_to_metric_names_map_from_feature_collection
  from ludwig.utils.misc_utils import merge_dict
label_desc: Use image node_id 9 for calling a global function with example usage: check_sequence_concat_combiner_requirements(config) without return types