code: def hinge_loss(config, predictions):
      """doc"""
      log.info("use hinge loss")
      logits = predictions["logits"]
      log.info("using hinge loss")
      pos = logits[:, 0:1]
      neg = logits[:, 1:]
      loss = paddle.sum(
          paddle.nn.functional.relu(neg - pos + config.margin)
      )
  
      return loss
  
file_path: PGL/apps/PGLBox/src/models/loss.py
imports: import os
  import sys
  import math
  import time
  import numpy
  import pickle
  import paddle
  import paddle.static
  import paddle.fluid
  import pgl
  from pgl.utils.logger import log
label_desc: Use image node_id 1 for calling a global function with example usage: hinge_loss(config, predictions) and returns: loss