class_docstr: SDE abstract class. Functions are designed for a mini-batch of inputs.
docstr: Generate one sample from the prior distribution,
  $p_T(x|args)$ with shape `shape`.
code: def prior_sampling(self, shape, *args):
      """Generate one sample from the prior distribution,
      $p_T(x|args)$ with shape `shape`."""
      pass
  
imports: import abc
  import warnings
  import numpy
  import torch
label_desc: Use image node_id 5 for calling the SDE obj's underlying member method code with example usage: obj.prior_sampling(shape) without return types