code: def forward_expected(self, inputs):
      (x,) = inputs
      expected = x.astype(numpy.float64, copy=True)
      for i in numpy.ndindex(x.shape):
          if x[i] < 0:
              expected[i] = self.alpha * numpy.expm1(expected[i])
      return (expected.astype(x.dtype),)
  
file_path: chainer/tests/chainer_tests/functions_tests/activation_tests/test_elu.py
imports: import random
  import numpy
  from chainer import functions
  from chainer import testing
label_desc: Use image node_id 4 for calling the TestELU obj's underlying member method code with example usage: obj.forward_expected(inputs) and returns: expected