code: def _get_inputs(batch_size, num_input_dims):
      return tf.random.uniform([batch_size, num_input_dims])
  
file_path: agents/tf_agents/networks/normal_projection_network_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.networks import normal_projection_network
  from tf_agents.specs import tensor_spec
  from tf_agents.utils import common
label_desc: Use image node_id 1 for calling a global function with example usage: _get_inputs(batch_size, num_input_dims) and returns: tf