class_docstr: Rectified Linear Unit.
class_docstr_tok: ["Rectified","Linear","Unit","."]
code: def forward_gpu(self, inputs):
      (x,) = inputs
      if chainer.should_use_cudnn(">=auto") and x.flags.c_contiguous:
          self._use_cudnn = True
          y = cudnn.activation_forward(x, _mode)
      else:
          y = cuda.cupy.maximum(x, 0, dtype=x.dtype)
      self.retain_outputs((0,))
      return (y,)
  
imports: import numpy
  import chainer
  from chainer.backends import cuda
  from chainer.backends import intel64
  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 ReLU obj's underlying member method code with example usage: obj.forward_gpu(inputs) and returns: y