code: def __call__(self, inputs):
      src, pos, negs = self.to_sample(inputs)
      embedding = self.target_embed(src)
      embedding_pos = self.context_embed(pos)
      embedding_negs = self.context_embed(negs)
  
      logits, neg_logits = self.logit_fn(
          embedding, embedding_pos, embedding_negs
      )
      loss = self.loss_fn(logits, neg_logits)
      metric = self.metric_class(logits, neg_logits)
      embedding = self.target_embed(inputs)
      return (embedding, loss, self.metric_name, metric)
  
file_path: euler/tf_euler/python/solution/base_unsupervise.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tf_euler
  from tf_euler.python.solution.logits import PosNegLogits
  from tf_euler.python.solution.losses import xent_loss
label_desc: Use image node_id 5 for calling the UnsuperviseSolution obj's underlying member method code with example usage: obj.__call__(inputs) and returns: embedding,  loss,  self,  metric