class_docstr: SDE abstract class. Functions are designed for a mini-batch of inputs.
docstr: Parameters to determine the marginal distribution of
  the SDE, $p_t(x|args)$.
code: def marginal_prob(self, x, t, *args):
      """Parameters to determine the marginal distribution of
      the SDE, $p_t(x|args)$."""
      pass
  
imports: import abc
  import warnings
  import numpy
  import torch
label_desc: Use image node_id 4 for calling the SDE obj's underlying member method code with example usage: obj.marginal_prob(x, t) without return types