class_docstr: Sigmoid cross entropy loss.
code: def loss_from_logits(self, logits, full_labels, labels):
      return tf.reduce_mean(
          tf.nn.sigmoid_cross_entropy_with_logits(full_labels, logits)
      )
  
file_path: neural-structured-learning/research/kg_hyp_emb/learning/losses.py
imports: import abc
  import tensorflow
label_desc: Use image node_id 1 for calling the SigmoidCrossEntropy obj's underlying member method code with example usage: obj.loss_from_logits(logits, full_labels, labels) and returns: tf