class_docstr: Tests the correctness of the Y = X @ X.T transformation.
class_docstr_tok: ["Tests","the","correctness","of","the","Y","=","X","@","X.T","transformation","."]
code: def testNoBatchStaticJacobian(self):
      x = np.eye(2)
      bijector = cholesky_outer_product.CholeskyOuterProduct()
  
      # The Jacobian matrix is 2 * tf.eye(2), which has jacobian determinant 4.
      self.assertAllClose(
          np.log(4),
          self.evaluate(
              bijector.forward_log_det_jacobian(x, event_ndims=2)
          ),
      )
  
file_path: probability/tensorflow_probability/python/bijectors/cholesky_outer_product_test.py
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import cholesky_outer_product
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the CholeskyOuterProductBijectorTest obj's underlying member method code with example usage: obj.testNoBatchStaticJacobian() without return types