class_docstr: The ``IceVisionAdapter`` is an :class:`~flash.core.adapter.Adapter` for integrating with IceVision.
code: def training_step(self, batch, batch_idx) -> Any:
      return self.icevision_adapter.training_step(
          batch[DataKeys.INPUT], batch_idx
      )
  
imports: import functools
  from importlib import import_module
  from typing import Any, Dict, Optional
  from torch import Tensor
  from torch.utils.data import DataLoader, Sampler
  import flash
  from flash.core.adapter import Adapter
  from flash.core.data.io.input import DataKeys, InputBase
  from flash.core.data.io.input_transform import InputTransform, create_worker_input_transform_processor
  from flash.core.integrations.icevision.transforms import from_icevision_predictions, from_icevision_record, to_icevision_record
  from flash.core.integrations.icevision.wrappers import wrap_icevision_adapter
  from flash.core.model import Task
  from flash.core.utilities.imports import _ICEVISION_AVAILABLE
  from flash.core.utilities.stages import RunningStage
  from flash.core.utilities.url_error import catch_url_error
label_desc: Use image node_id 9 for calling the IceVisionAdapter obj's underlying member method code with example usage: obj.training_step(batch, batch_idx) and returns: self