class_docstr: Tests correctness of the Y = g(X) = X / norm(X) transformation.
class_docstr_tok: ["Tests","correctness","of","the","Y","=","g","(","X",")","=","X","\/","norm","(","X",")","transformation","."]
code: def testTheoreticalFldj(self):
      uv = unit_vector.UnitVector()
      x = np.linspace(-15, 15, num=10).reshape(5, 2).astype(np.float64)
  
      fldj = uv.forward_log_det_jacobian(x, event_ndims=1)
      fldj_theoretical = bijector_test_util.get_fldj_theoretical(
          uv, x, event_ndims=1
      )
      self.assertAllClose(
          self.evaluate(fldj_theoretical),
          self.evaluate(fldj),
          atol=1e-5,
          rtol=1e-5,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/unit_vector_test.py
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import unit_vector
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the UnitVectorBijectorTest obj's underlying member method code with example usage: obj.testTheoreticalFldj() without return types