code: def validate_batch(self, s, s_length, y):
      (
          bseq_indices,
          bseq_values,
          bseq_shape,
      ) = self.get_sparse_tensor_info(s, True)
  
      loss = self.session.run(
          self.loss,
          feed_dict={
              self.bseq: (bseq_indices, bseq_values, bseq_shape),
              self.bseq_length: s_length,
              self.y: y,
          },
      )
      return loss
  
file_path: cornac/cornac/models/beacon/beacon_tf.py
imports: import numpy
  import warnings
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the BeaconModel obj's underlying member method code with example usage: obj.validate_batch(s, s_length, y) and returns: loss