class_docstr: SDE abstract class. Functions are designed for a mini-batch of inputs.
docstr: Compute log-density of the prior distribution.
  
  Useful for computing the log-likelihood via probability flow ODE.
  
  Args:
      z: latent code
  Returns:
      log probability density
code: def prior_logp(self, z):
      """Compute log-density of the prior distribution.
  
      Useful for computing the log-likelihood via probability flow ODE.
  
      Args:
          z: latent code
      Returns:
          log probability density
      """
      pass
  
imports: import abc
  import warnings
  import numpy
  import torch
label_desc: Use image node_id 6 for calling the SDE obj's underlying member method code with example usage: obj.prior_logp(z) without return types