code: def forward_expected(self, inputs):
      x, beta = inputs
      beta = _broadcast_to(
          beta.reshape(self.extended_beta_shape), x.shape
      )
      y = x * _sigmoid(beta * x)
      return (y,)
  
file_path: chainer/tests/chainer_tests/functions_tests/activation_tests/test_swish.py
imports: import numpy
  from chainer import functions
  from chainer import testing
label_desc: Use image node_id 3 for calling the TestSwish obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: y