code: def __call__(self, inputs):
      return self.amplitude * jnp.sum(self.dense(inputs))
  
file_path: probability/tensorflow_probability/python/experimental/autobnn/bnn_test.py
imports: from flax import linen
  import jax
  import jax.numpy
  from tensorflow_probability.python.experimental.autobnn import bnn
  from tensorflow_probability.substrates.jax.distributions import lognormal
  from tensorflow_probability.substrates.jax.distributions import normal
  from absl.testing import absltest
label_desc: Use image node_id 3 for calling the MyBNN obj's underlying member method code with example usage: obj.__call__(inputs) and returns: unknown