class_docstr: Test the Polynomial kernel.
class_docstr_tok: ["Test","the","Polynomial","kernel","."]
code: def testFloat64(self):
      # No exception expected
      k = polynomial.Polynomial(
          bias_amplitude=np.float64(0.0),
          slope_amplitude=np.float64(1.0),
          shift=np.float64(0.0),
          exponent=np.float64(1.0),
          feature_ndims=1,
      )
      x = np.ones([5, 3], np.float64)
      y = np.ones([5, 3], np.float64)
      k.apply(x, y)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.psd_kernels import polynomial
label_desc: Use image node_id 10 for calling the PolynomialTest obj's underlying member method code with example usage: obj.testFloat64() without return types