class_docstr: A feedforward network for use with IQN.
  
  IQN extends the Q-network of regular DQN which consists of torso and head
  networks. IQN embeds sampled quantile thresholds into the output space of the
  torso network and merges them with the torso output.
  
  Outputs a tuple consisting of (mean) Q-values, Q-value quantiles, and sampled
  quantile thresholds.
code: def _create_embedding(self, size):
      self._embedding = snt.Linear(size)
  
file_path: acme/acme/tf/networks/quantile.py
imports: import numpy
  import sonnet
  import tensorflow
label_desc: Use image node_id 2 for calling the IQNNetwork obj's underlying member method code with example usage: obj._create_embedding(size) without return types