class_docstr: Args:
      transform: list of transformation functions to apply
class_docstr_tok: ["Args",":","transform",":","list","of","transformation","functions","to","apply"]
code: def forward(self, x):
      record = to_icevision_record(x)
      record = self.transform(record)
      return from_icevision_record(record)
  
imports: from dataclasses import dataclass
  from typing import Any, Callable, Dict, List, Optional, Tuple
  import numpy
  from torch import Tensor, nn
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.utilities.imports import _ICEVISION_AVAILABLE, _ICEVISION_GREATER_EQUAL_0_11_0, _TOPIC_IMAGE_AVAILABLE, requires
label_desc: Use image node_id 2 for calling the IceVisionTransformAdapter obj's underlying member method code with example usage: obj.forward(x) and returns: from_icevision_record