class_docstr: This is the quantized equivalent of :class:`~torch.nn.LeakyReLU`.
  
  Args:
      scale: quantization scale of the output tensor
      zero_point: quantization zero point of the output tensor
      negative_slope: Controls the angle of the negative slope. Default: 1e-2
class_docstr_tok: ["This","is","the","quantized","equivalent","of",":","class",":","`","~torch.nn.LeakyReLU","`",".","Args",":","scale",":","quantization","scale","of","the","output","tensor","zero_point",":","quantization","zero","point","of","the","output","tensor","negative_slope",":","Controls","the","angle","of","the","negative","slope",".","Default",":","1e-2"]
code: def forward(self, input):
      return torch.ops.quantized.leaky_relu(
          input,
          self.negative_slope,
          self.inplace,
          self.scale,
          self.zero_point,
      )
  
imports: import torch
  from warnings import warn
label_desc: Use image node_id 2 for calling the LeakyReLU obj's underlying member method code with example usage: obj.forward(input) and returns: torch