class_docstr: Test the Polynomial kernel.
class_docstr_tok: ["Test","the","Polynomial","kernel","."]
code: def testFloat32Fallback(self):
      # Should be OK (float32 fallback).
      self.polynomial = polynomial.Polynomial(
          bias_amplitude=0, slope_amplitude=1, shift=0, exponent=1
      )
      # Should be OK.
      polynomial.Polynomial(
          bias_amplitude=np.float32(1.0),
          slope_amplitude=1.0,
          shift=0.0,
          exponent=1.0,
      )
  
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 2 for calling the PolynomialTest obj's underlying member method code with example usage: obj.testFloat32Fallback() without return types