code: def forward_cpu(self, inputs):
      self.retain_inputs((0, 1))
      x, beta = inputs
      beta = beta.reshape(_get_extended_shape(beta, x))
  
      y = x * _sigmoid(beta * x)
      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
label_desc: Use image node_id 2 for calling the Swish obj's underlying member method code with example usage: obj.forward_cpu(inputs) and returns: y