code: def _hpsd_logdet_custom_gradient(matrix, cholesky_matrix):
      return _hpsd_logdet_fwd(matrix, cholesky_matrix)[0]
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.math import generic
label_desc: Use image node_id 23 for calling a global function with example usage: _hpsd_logdet_custom_gradient(matrix, cholesky_matrix) and returns: _hpsd_logdet_fwd