class_docstr: Mixup for labels. Should be initialized in exactly the same way as
  :cla:`ffcv.transforms.ImageMixup`.
class_docstr_tok: ["Mixup","for","labels",".","Should","be","initialized","in","exactly","the","same","way","as",":","cla",":","`","ffcv.transforms.ImageMixup","`","."]
code: def __init__(self, alpha: float, same_lambda: bool):
      super().__init__()
      self.alpha = alpha
      self.same_lambda = same_lambda
  
imports: from typing import Tuple
  from numba import objmode
  import numpy
  import torch
  import torch.nn.functional
  from dataclasses import replace
  from typing import Callable, Optional, Tuple
  from ..pipeline.allocation_query import AllocationQuery
  from ..pipeline.operation import Operation
  from ..pipeline.state import State
  from ..pipeline.compiler import Compiler
label_desc: Use image node_id 1 to create a new LabelMixup object from inherited base classes: Operation with example: obj = LabelMixup(alpha, same_lambda)