class_docstr: Aria activation function described in `this paper <https://arxiv.org/abs/1805.08878/>`_.
class_docstr_tok: ["Aria","activation","function","described","in","`","this","paper","<","https",":","\/\/arxiv.org\/abs\/1805.08878\/",">","`","_","."]
code: def __init__(self, A=0, K=1.0, B=1.0, v=1.0, C=1.0, Q=1.0):
      super(Aria, self).__init__()
      # ARiA parameters
      self.A = A  # lower asymptote, values tested were A = -1, 0, 1
      self.k = K  # upper asymptote, values tested were K = 1, 2
      self.B = B  # exponential rate, values tested were B = [0.5, 2]
      self.v = v  # v > 0 the direction of growth, values tested were v = [0.5, 2]
      self.C = C  # constant set to 1
      self.Q = Q
  
file_path: pywick/pywick/functions/swish.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new Aria object from inherited base classes: nn with example: obj = Aria(A, K, B, v, C, Q)