code: def test_debatchify_params3(self):
      out = training_util.debatchify_params(
          {
              "params": {
                  "noise_scale": jnp.ones(10),
                  "amplitude": jnp.ones(10),
                  "length_scale": jnp.zeros(10),
              }
          }
      )
      self.assertLen(out, 10)
      self.assertEqual(
          out[0],
          {
              "params": {
                  "noise_scale": jnp.ones(1),
                  "amplitude": jnp.ones(1),
                  "length_scale": jnp.zeros(1),
              }
          },
      )
      self.assertEqual(
          out[1],
          {
              "params": {
                  "noise_scale": jnp.ones(1),
                  "amplitude": jnp.ones(1),
                  "length_scale": jnp.zeros(1),
              }
          },
      )
  
imports: import chex
  import jax
  import jax.numpy
  import numpy
  from tensorflow_probability.python.experimental.autobnn import kernels
  from tensorflow_probability.python.experimental.autobnn import operators
  from tensorflow_probability.python.experimental.autobnn import training_util
  from tensorflow_probability.python.experimental.autobnn import util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the TrainingUtilTest obj's underlying member method code with example usage: obj.test_debatchify_params3() without return types