class_docstr: Tests the correctness of the Y = g(X) = X / (1 + |X|) transformation.
class_docstr_tok: ["Tests","the","correctness","of","the","Y","=","g","(","X",")","=","X","\/","(","1","+","|X|",")","transformation","."]
code: def testScalarCongruency(self):
      bijector = softsign.Softsign(validate_args=True)
      bijector_test_util.assert_scalar_congruency(
          bijector,
          lower_x=-20.0,
          upper_x=20.0,
          eval_func=self.evaluate,
          rtol=0.05,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/softsign_test.py
imports: import numpy
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import softsign
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the SoftsignBijectorTest obj's underlying member method code with example usage: obj.testScalarCongruency() without return types