class_docstr: SDE abstract class. Functions are designed for a mini-batch of inputs.
docstr: Construct an SDE.
  
  Args:
      N: number of discretization time steps.
code: def __init__(self, N):
      """Construct an SDE.
  
      Args:
          N: number of discretization time steps.
      """
      super().__init__()
      self.N = N
  
imports: import abc
  import warnings
  import numpy
  import torch
label_desc: Use image node_id 1 to create a new SDE object from inherited base classes: abc with example: obj = SDE(N)