code: def _f3_jax(params, x):
      return _f1_jax(params, _f1_jax(params, x)) + jnp.mean(
          _f2_jax(params, x)
      )
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  import jax
  from jax import numpy
  import neural_tangents
  from neural_tangents import experimental
  import numpy
  import tensorflow
label_desc: Use image node_id 6 for calling a global function with example usage: _f3_jax(params, x) and returns: unknown