code: def __init__(self, module: flash.Task, inference_iteration: int):
      super().__init__()
      self.parent_module = module
      self.trainer = module.trainer
      changed = _patch_dropout_layers(self.parent_module)
      if not changed:
          raise TypeError(
              "The model should contain at least 1 dropout layer."
          )
      self.inference_iteration = inference_iteration
  
imports: import torch
  import flash
  from flash.core.utilities.imports import _BAAL_AVAILABLE, _BAAL_GREATER_EQUAL_1_5_2
label_desc: Use image node_id 1 to create a new InferenceMCDropoutTask object from inherited base classes: flash with example: obj = InferenceMCDropoutTask(module, inference_iteration)