class_docstr: PReLU activiation layer.
  
  Applies PReLU (w/ dummy inplace arg).Described in: https://arxiv.org/abs/1502.01852.
  
  Args:
      inplace(`Bool`):
          whether use inplace version.
  Returns:
      (`torch.Tensor`)
          output tensor after activation.
code: def __init__(
      self,
      num_parameters: int = 1,
      init: float = 0.25,
      inplace: bool = False,
  ) -> None:
      super().__init__(num_parameters=num_parameters, init=init)
      self.inplace = inplace
  
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new PReLU object from inherited base classes: nn with example: obj = PReLU(num_parameters, init, inplace)