class_docstr: Transforms the diagonal elements of the LKJCholeskyCov distribution to be on the
  log scale
class_docstr_tok: ["Transforms","the","diagonal","elements","of","the","LKJCholeskyCov","distribution","to","be","on","the","log","scale"]
code: def log_jac_det(self, value, *inputs):
      return pt.sum(value[..., self.diag_idxs], axis=-1)
  
imports: import warnings
  from functools import singledispatch
  import numpy
  import pytensor.tensor
  from numpy.core.numeric import normalize_axis_tuple
  from pytensor.graph import Op
  from pytensor.tensor import TensorVariable
  import pymc
  from pymc.logprob.transforms import ChainedTransform, CircularTransform, IntervalTransform, LogOddsTransform, LogTransform, SimplexTransform, Transform
label_desc: Use image node_id 4 for calling the CholeskyCovPacked obj's underlying member method code with example usage: obj.log_jac_det(value) and returns: pt