code: def _kl_independent_independent(p, q):
      shared_ndims = min(
          p.reinterpreted_batch_ndims, q.reinterpreted_batch_ndims
      )
      p_ndims = p.reinterpreted_batch_ndims - shared_ndims
      q_ndims = q.reinterpreted_batch_ndims - shared_ndims
      p = Independent(p.base_dist, p_ndims) if p_ndims else p.base_dist
      q = Independent(q.base_dist, q_ndims) if q_ndims else q.base_dist
      kl = kl_divergence(p, q)
      if shared_ndims:
          kl = sum_rightmost(kl, shared_ndims)
      return kl
  
file_path: pyro/pyro/distributions/kl.py
imports: import math
  from torch.distributions import Independent, MultivariateNormal, Normal, kl_divergence, register_kl
  from pyro.distributions.delta import Delta
  from pyro.distributions.distribution import Distribution
  from pyro.distributions.util import sum_rightmost
label_desc: Use image node_id 2 for calling a global function with example usage: _kl_independent_independent(p, q) and returns: kl