class_docstr: Sort by the highest acquisition function value.
  References:
      https://arxiv.org/abs/1703.02910
class_docstr_tok: ["Sort","by","the","highest","acquisition","function","value",".","References",":","https",":","\/\/arxiv.org\/abs\/1703.02910"]
code: def __init__(
      self,
      model: ModelWrapper,
      criterion,
      shuffle_prop=0.0,
      threshold=None,
      reduction="none",
  ):
      super().__init__(
          model,
          criterion=criterion,
          shuffle_prop=shuffle_prop,
          threshold=threshold,
          reverse=True,
          reduction=reduction,
      )
  
file_path: baal/baal/active/heuristics/heuristics_gpu.py
imports: from typing import Callable, Optional, Sequence
  import numpy
  import torch
  import torch.nn.functional
  from baal.active.dataset.base import Dataset
  from baal import ModelWrapper
label_desc: Use image node_id 1 to create a new BALDGPUWrapper object from inherited base classes: AbstractGPUHeuristic with example: obj = BALDGPUWrapper(model, criterion, shuffle_prop, threshold, reduction)