class_docstr: Clipped Rectifier Unit function.
  
  Clipped ReLU is written as
  :math:`ClippedReLU(x, z) = \min(\max(0, x), z)`,
  where :math:`z(>0)` is a parameter to cap return value of ReLU.
code: def forward_gpu(self, inputs):
      self.retain_inputs((0,))
      (x,) = inputs
      if chainer.should_use_cudnn("==always") and x.flags.c_contiguous:
          self._use_cudnn = True
          y = cudnn.activation_forward(x, _mode, self.cap)
          self.retain_outputs((0,))
      else:
          return (
              cuda.elementwise(
                  "T x, T cap",
                  "T y",
                  "y = min(max(x, (T)0), cap)",
                  "clipped_relu_fwd",
              )(x, self.cap),
          )
      return (y,)
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import function_node
  from chainer import utils
  from chainer.utils import type_check
  import chainerx
label_desc: Use image node_id 5 for calling the ClippedReLU obj's underlying member method code with example usage: obj.forward_gpu(inputs) and returns: y, cuda