class_docstr: Implements "DeepZ" for relu.
  
  | Paper link:  https://papers.nips.cc/paper/2018/file/f2f446980d8e971ef3da97af089481c3-Paper.pdf
class_docstr_tok: ["Implements","``","DeepZ","''","for","relu",".","|","Paper","link",":","https",":","\/\/papers.nips.cc\/paper\/2018\/file\/f2f446980d8e971ef3da97af089481c3-Paper.pdf"]
code: def __init__(self, device="cpu"):
      super().__init__()
      self.device = device
      self.concrete_activation = torch.nn.ReLU()
  
imports: from typing import Tuple, Union
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new ZonoReLU object from inherited base classes: torch.nn, ZonoBounds with example: obj = ZonoReLU(device)