class_docstr: The ``IceVisionAdapter`` is an :class:`~flash.core.adapter.Adapter` for integrating with IceVision.
code: def forward(self, batch: Any) -> Any:
      if isinstance(batch, Tensor):
          batch = (
              (batch,),
              [
                  to_icevision_record(
                      {DataKeys.INPUT: batch[0].cpu().numpy()}
                  )
              ]
              * len(batch),
          )
      return from_icevision_predictions(
          import_module(self.model_type).predict_from_dl(
              self.model,
              [batch],
              show_pbar=False,
              **self.predict_kwargs,
          )
      )
  
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 13 for calling the IceVisionAdapter obj's underlying member method code with example usage: obj.forward(batch) and returns: from_icevision_predictions