class_docstr: Hermitian metric on complex matrices given by Frobenius inner-product.
docstr: Compute Frobenius inner-product of two tangent vectors.
  
  Parameters
  ----------
  tangent_vec_a : array-like, shape=[..., m, n]
      Tangent vector.
  tangent_vec_b : array-like, shape=[..., m, n]
      Tangent vector.
  base_point : array-like, shape=[..., m, n]
      Base point.
      Optional, default: None.
  
  Returns
  -------
  inner_prod : array-like, shape=[...,]
      Frobenius inner-product of tangent_vec_a and tangent_vec_b.
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code: def inner_product(tangent_vec_a, tangent_vec_b, base_point=None):
      """Compute Frobenius inner-product of two tangent vectors.
  
      Parameters
      ----------
      tangent_vec_a : array-like, shape=[..., m, n]
          Tangent vector.
      tangent_vec_b : array-like, shape=[..., m, n]
          Tangent vector.
      base_point : array-like, shape=[..., m, n]
          Base point.
          Optional, default: None.
  
      Returns
      -------
      inner_prod : array-like, shape=[...,]
          Frobenius inner-product of tangent_vec_a and tangent_vec_b.
      """
      return ComplexMatrices.frobenius_product(
          tangent_vec_a, tangent_vec_b
      )
  
imports: import geomstats.backend
  import geomstats.errors
  from geomstats.geometry.base import ComplexMatrixVectorSpace
  from geomstats.geometry.hermitian import HermitianMetric
  from geomstats.geometry.matrices import Matrices
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 1 for calling the ComplexMatricesMetric obj's underlying member method code with example usage: obj.inner_product(tangent_vec_a, tangent_vec_b, base_point) and returns: ComplexMatrices