code: def test_debatchify_params4(self):
      out = training_util.debatchify_params(
          {
              "params": {
                  "noise_scale": jnp.ones(20),
                  "dense1": {
                      "kernel": jnp.ones((20, 10)),
                      "bias": jnp.ones((20, 10)),
                  },
              }
          }
      )
      self.assertLen(out, 20)
      print(f"{out[0]=}")
      chex.assert_trees_all_close(
          out[0],
          {
              "params": {
                  "noise_scale": jnp.ones(1),
                  "dense1": {
                      "kernel": jnp.ones(10),
                      "bias": jnp.ones(10),
                  },
              }
          },
      )
      chex.assert_trees_all_close(
          out[1],
          {
              "params": {
                  "noise_scale": jnp.ones(1),
                  "dense1": {
                      "kernel": jnp.ones(10),
                      "bias": jnp.ones(10),
                  },
              }
          },
      )
  
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 9 for calling the TrainingUtilTest obj's underlying member method code with example usage: obj.test_debatchify_params4() without return types