code: def LLMTrainerDataclassField(default="none", description=""):
      class LLMTrainerSelection(schema_utils.TypeSelection):
          def __init__(self):
              super().__init__(
                  registry=_llm_trainer_schema_registry,
                  default_value=default,
                  description=description,
              )
  
          def get_schema_from_registry(
              self, key: str
          ) -> Type[schema_utils.BaseMarshmallowConfig]:
              return get_llm_trainer_cls(key)
  
          def _jsonschema_type_mapping(self):
              return {
                  "type": "object",
                  "properties": {
                      "type": {
                          "type": "string",
                          "enum": list(
                              _llm_trainer_schema_registry.keys()
                          ),
                          "default": default,
                          "description": "The type of LLM trainer to use",
                      },
                  },
                  "title": "llm_trainer_options",
                  "allOf": get_llm_trainer_conds(),
                  "required": ["type"],
                  "description": description,
              }
  
      return LLMTrainerSelection().get_default_field()
  
imports: from abc import ABC
  from typing import Optional, Type, Union
  import torch
  from packaging.version import parse
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUTO, EFFECTIVE_BATCH_SIZE, LOSS, MAX_BATCH_SIZE, MAX_POSSIBLE_BATCH_SIZE, MODEL_ECD, MODEL_GBM, MODEL_LLM, TRAINING
  from ludwig.error import ConfigValidationError
  from ludwig.schema import utils
  from ludwig.schema.lr_scheduler import LRSchedulerConfig, LRSchedulerDataclassField
  from ludwig.schema.metadata import TRAINER_METADATA
  from ludwig.schema.optimizers import BaseOptimizerConfig, GradientClippingConfig, GradientClippingDataclassField, OptimizerDataclassField
  from ludwig.schema.profiler import ProfilerConfig, ProfilerDataclassField
  from ludwig.schema.utils import ludwig_dataclass
  from ludwig.utils.registry import Registry
label_desc: Use image node_id 7 for calling a global function with example usage: LLMTrainerDataclassField(default, description) and returns: LLMTrainerSelection, get_llm_trainer_cls, dict