class_docstr: Bijective transform via the mapping :math:`y = \text{LeakyReLU}(x)`.
class_docstr_tok: ["Bijective","transform","via","the","mapping",":","math",":","`","y","=","\\text","{","LeakyReLU","}","(","x",")","`","."]
code: def __eq__(self, other):
      return isinstance(other, LeakyReLUTransform)
  
imports: import math
  import torch
  import torch.nn.functional
  from torch.distributions.transforms import TanhTransform, Transform
  from ..None import constraints
label_desc: Use image node_id 1 for calling the LeakyReLUTransform obj's underlying member method code with example usage: obj.__eq__(other) and returns: isinstance