code: def testParamTensorFromLogits(self):
      x = tf.constant([-1.0, 0.5, 1.0])
      d = multinomial.Multinomial(
          total_count=1, logits=x, validate_args=True
      )
      self.assertAllClose(
          *self.evaluate([x, d.logits_parameter()]), atol=0, rtol=1e-4
      )
      self.assertAllClose(
          *self.evaluate([tf.math.softmax(x), d.probs_parameter()]),
          atol=0,
          rtol=1e-4,
      )
  
imports: import unittest
  from absl.testing import parameterized
  import hypothesis
  from hypothesis import strategies
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import binomial
  from tensorflow_probability.python.distributions import hypothesis_testlib
  from tensorflow_probability.python.distributions import multinomial
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 30 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testParamTensorFromLogits() without return types