class_docstr: A PyTorch module implementing the Snake activation function in 1D.
  
  Parameters
  ----------
  channels : int
      The number of channels in the input tensor.
class_docstr_tok: ["A","PyTorch","module","implementing","the","Snake","activation","function","in","1D",".","Parameters","--","--","--","--","--","channels",":","int","The","number","of","channels","in","the","input","tensor","."]
docstr: Parameters
  ----------
  x : torch.Tensor
  
  Returns
  -------
  torch.Tensor
docstr_tok: ["Parameters","--","--","--","--","--","x",":","torch.Tensor","Returns","--","--","--","-","torch.Tensor"]
code: def forward(self, x):
      """
  
      Parameters
      ----------
      x : torch.Tensor
  
      Returns
      -------
      torch.Tensor
      """
      return snake(x, self.alpha)
  
imports: import math
  from pathlib import Path
  from typing import List, Union
  import logging
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.nn.utils.parametrizations import weight_norm
label_desc: Use image node_id 2 for calling the Snake1d obj's underlying member method code with example usage: obj.forward(x) and returns: snake