class_docstr: A class containing all of the functions supporting generation, to be used as a mixin in [`TFPreTrainedModel`].
class_docstr_tok: ["A","class","containing","all","of","the","functions","supporting","generation",",","to","be","used","as","a","mixin","in","[","`","TFPreTrainedModel","`","]","."]
docstr: Confirms that the model class is compatible with generation. If not, raises an exception that points to the
  right class to use.
code: def _validate_model_class(self):
      """
      Confirms that the model class is compatible with generation. If not, raises an exception that points to the
      right class to use.
      """
      if not hasattr(self, "prepare_inputs_for_generation"):
          generate_compatible_mappings = [
              TF_MODEL_FOR_CAUSAL_LM_MAPPING,
              TF_MODEL_FOR_VISION_2_SEQ_MAPPING,
              TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING,
              TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING,
          ]
          generate_compatible_classes = set()
          for model_mapping in generate_compatible_mappings:
              supported_models = model_mapping.get(
                  type(self.config), default=None
              )
              if supported_models is not None:
                  generate_compatible_classes.add(
                      supported_models.__name__
                  )
          exception_message = (
              f"The current model class ({self.__class__.__name__}) is not compatible with `.generate()`, as "
              "it doesn't have a language model head."
          )
          if generate_compatible_classes:
              exception_message += f" Please use one of the following classes instead: {generate_compatible_classes}"
          raise TypeError(exception_message)
  
imports: import inspect
  import warnings
  from dataclasses import dataclass
  from typing import Any, Dict, List, Optional, Tuple, Union
  import numpy
  import tensorflow
  from tensorflow.compiler.tf2xla.python.xla import dynamic_update_slice
  from .generation_tf_logits_process import TFForcedBOSTokenLogitsProcessor, TFForcedEOSTokenLogitsProcessor, TFForceTokensLogitsProcessor, TFLogitsProcessorList, TFMinLengthLogitsProcessor, TFNoBadWordsLogitsProcessor, TFNoRepeatNGramLogitsProcessor, TFRepetitionPenaltyLogitsProcessor, TFSuppressTokensAtBeginLogitsProcessor, TFSuppressTokensLogitsProcessor, TFTemperatureLogitsWarper, TFTopKLogitsWarper, TFTopPLogitsWarper
  from .models.auto import TF_MODEL_FOR_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SEQ_TO_SEQ_CAUSAL_LM_MAPPING, TF_MODEL_FOR_SPEECH_SEQ_2_SEQ_MAPPING, TF_MODEL_FOR_VISION_2_SEQ_MAPPING
  from .tf_utils import shape_list, stable_softmax
  from .utils import ModelOutput, logging
label_desc: Use image node_id 7 for calling the TFGenerationMixin obj's underlying member method code with example usage: obj._validate_model_class() without return types