class_docstr: Clipped Rectifier Unit gradient function.
code: def forward_gpu(self, inputs):
      assert chainer.should_use_cudnn("==always")
      return (
          cudnn.activation_backward(
              self.x, self.y, inputs[0], _mode, self.cap
          ),
      )
  
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 4 for calling the ClippedReLUGrad3 obj's underlying member method code with example usage: obj.forward_gpu(inputs) and returns: cudnn