class_docstr: Decorator for preprocessing ops, which adds support for image batches.
  
  Note: Doesn't support decorating ops which add new fields in data.
class_docstr_tok: ["Decorator","for","preprocessing","ops",",","which","adds","support","for","image","batches",".","Note",":","Does","n't","support","decorating","ops","which","add","new","fields","in","data","."]
code: def __init__(self, output_dtype=None):
      self.output_dtype = output_dtype
  
file_path: scenic/scenic/dataset_lib/big_transfer/preprocessing/utils.py
imports: from collections import abc
  import functools
  import tensorflow.compat.v1
label_desc: Use image node_id 1 to create a new BatchedImagePreprocessing object from inherited base classes: object with example: obj = BatchedImagePreprocessing(output_dtype)