code: def generate_inputs(self):
      if self.shape is None:
          # For checking numerical stability
          value = -5 if self.dtype == numpy.float16 else -1000
          x = numpy.array([[value, 1]], dtype=self.dtype)
      else:
          x = numpy.random.uniform(-1, 1, self.shape).astype(self.dtype)
      return (x,)
  
file_path: chainer/tests/chainer_tests/functions_tests/activation_tests/test_log_softmax.py
imports: import unittest
  import numpy
  import chainer
  from chainer.backends import cuda
  from chainer import functions
  from chainer import testing
  from chainer.testing import attr
label_desc: Use image node_id 2 for calling the TestLogSoftmax obj's underlying member method code with example usage: obj.generate_inputs() and returns: x