text: /*
  * EDDL Library - European Distributed Deep Learning Library.
  * Version: 0.7
  * copyright (c) 2020, Universidad Politécnica de Valencia (UPV), PRHLT Research Centre
  * Date: April 2020
  * Author: PRHLT Research Centre, UPV, (rparedes@prhlt.upv.es), (jon@prhlt.upv.es)
  * All rights reserved
  */
  
  
  #include <cstdio>
  #include <cstdlib>
  #include <iostream>
  
  #include "eddl/losses/loss.h"
  
  using namespace std;
  
  LHinge::LHinge() : Loss("hinge"){}
  
  void LHinge::delta(Tensor *T, Tensor *Y, Tensor *D) {
  }
  
  float LHinge::value(Tensor *T, Tensor *Y) {
      return 0;
  }
  Loss* LHinge::clone()
  {
    return new LHinge();
  }
  