code: def __call__(self, user_feat, pos_item_feat, neg_item_feat):
      pos = L.reduce_sum(
          user_feat * pos_item_feat, -1, keep_dim=True
      )  # [B, 1]
      neg = L.matmul(
          user_feat, neg_item_feat, transpose_y=True
      )  # [B, B]
      loss = L.reduce_mean(L.relu(neg - pos + self.config.margin))
      return loss
  
file_path: PGL/legacy/examples/erniesage/models/loss.py
imports: import time
  import glob
  import os
  import numpy
  import pgl
  import paddle.fluid
  import paddle.fluid.layers
label_desc: Use image node_id 1 for calling the HingeLoss obj's underlying member method code with example usage: obj.__call__(user_feat, pos_item_feat, neg_item_feat) and returns: loss