class_docstr: Class that defines the canonical metric for Stiefel manifolds.
docstr: Compute the Riemannian logarithm of a point.
  
  Parameters
  ----------
  point : array-like, shape=[..., n, p]
      Point in the Stiefel manifold.
  base_point : array-like, shape=[..., n, p]
      Point in the Stiefel manifold.
  
  Returns
  -------
  log : array-like, shape=[..., n, p]
      Tangent vector at the base point equal to the Riemannian logarithm
      of point at the base point.
code: def log(self, point, base_point):
      """Compute the Riemannian logarithm of a point.
  
      Parameters
      ----------
      point : array-like, shape=[..., n, p]
          Point in the Stiefel manifold.
      base_point : array-like, shape=[..., n, p]
          Point in the Stiefel manifold.
  
      Returns
      -------
      log : array-like, shape=[..., n, p]
          Tangent vector at the base point equal to the Riemannian logarithm
          of point at the base point.
      """
      return self._log_solver.log(self._space, point, base_point)
  
imports: import warnings
  import geomstats.backend
  import geomstats.errors
  from geomstats import algebra_utils
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.hermitian_matrices import powermh
  from geomstats.geometry.matrices import Matrices
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 4 for calling the StiefelCanonicalMetric obj's underlying member method code with example usage: obj.log(point, base_point) and returns: self