class_docstr: Hinge loss.
class_docstr_tok: ["Hinge","loss","."]
code: def forward_gpu(self, inputs):
      x, t = inputs
      num = x.dtype.type(len(x))
      self.bottom_diff = cuda.cupy.maximum(
          0, 1 + _hinge_fwd_kernel()(t, x.copy())
      )
      if self.norm == "L1":
          loss = self.bottom_diff
      elif self.norm == "L2":
          loss = self.bottom_diff**2
      else:
          raise NotImplementedError()
  
      if self.reduce == "mean":
          loss = loss.sum() / num
  
      return (loss,)
  
file_path: chainer/chainer/functions/loss/hinge.py
imports: import numpy
  from chainer import backend
  from chainer.backends import cuda
  from chainer import function
  from chainer.utils import type_check
label_desc: Use image node_id 4 for calling the Hinge obj's underlying member method code with example usage: obj.forward_gpu(inputs) and returns: loss