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 log_abs_det_jacobian(self, x, y):
      return torch.where(
          x >= 0.0,
          torch.zeros_like(x),
          torch.ones_like(x) * math.log(0.01),
      )
  
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 4 for calling the LeakyReLUTransform obj's underlying member method code with example usage: obj.log_abs_det_jacobian(x, y) and returns: torch