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: Initializes Snake1d
  Parameters
  ----------
  channels : int
docstr_tok: ["Initializes","Snake1d","Parameters","--","--","--","--","--","channels",":","int"]
code: def __init__(self, channels):
      """
      Initializes Snake1d
      Parameters
      ----------
      channels : int
      """
      super().__init__()
      self.alpha = nn.Parameter(torch.ones(1, channels, 1))
  
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 1 to create a new Snake1d object from inherited base classes: nn with example: obj = Snake1d(channels)