class_docstr: Rectified Linear Unit.
class_docstr_tok: ["Rectified","Linear","Unit","."]
code: def forward_ideep(self, inputs):
      (x,) = inputs
      y = intel64.ideep.relu.Forward(intel64.ideep.array(x))
      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 4 for calling the ReLU obj's underlying member method code with example usage: obj.forward_ideep(inputs) and returns: y