class_docstr: A PositiveSemidefiniteKernel implementation just for testing purposes.
  
  k(x, y) = m * sum(x + y)
  
  Not at all positive semidefinite, but we don't care about this here.
class_docstr_tok: ["A","PositiveSemidefiniteKernel","implementation","just","for","testing","purposes",".","k","(","x",",","y",")","=","m","*","sum","(","x","+","y",")","Not","at","all","positive","semidefinite",",","but","we","do","n't","care","about","this","here","."]
code: def multiplier(self):
      return self._multiplier
  
imports: import functools
  import operator
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import parameter_properties
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import positive_semidefinite_kernel
  from tensorflow_probability.python.math.psd_kernels.internal import test_util
  from tensorflow_probability.python.math.psd_kernels.internal import util
label_desc: Use image node_id 3 for calling the TestKernel obj's underlying member method code with example usage: obj.multiplier() and returns: self