code: def snake(x, alpha):
      """
      Applies the 'snake' activation function on the input tensor.
  
      This function reshapes the input tensor, applies a modified sine function to it, and then reshapes it back
      to its original shape.
  
      Parameters
      ----------
      x : torch.Tensor
          The input tensor to which the snake activation function will be applied.
      alpha : float
          A scalar value that modifies the sine function within the snake activation.
  
      Returns
      -------
      torch.Tensor
          The transformed tensor after applying the snake activation function.
      """
      shape = x.shape
      x = x.reshape(shape[0], shape[1], -1)
      x = x + (alpha + 1e-9).reciprocal() * torch.sin(alpha * x).pow(2)
      x = x.reshape(shape)
      return x
  
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 5 for calling a global function with example usage: snake(x, alpha) and returns: x