class_docstr: Rectified Linear Unit.
class_docstr_tok: ["Rectified","Linear","Unit","."]
code: def forward_cpu(self, inputs):
      if intel64.should_use_ideep(
          ">=auto"
      ) and intel64.inputs_all_ready(inputs):
          return self.forward_ideep(inputs)
  
      (x,) = inputs
      y = numpy.maximum(x, 0, dtype=x.dtype)
      self.retain_outputs((0,))
      return (utils.force_array(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 3 for calling the ReLU obj's underlying member method code with example usage: obj.forward_cpu(inputs) and returns: utils, self