code: def testNumbers(self):
      for t in [
          np.float16,
          np.float32,
          np.float64,
          dtypes.bfloat16.as_numpy_dtype,
      ]:
          self._testSoftsign(
              np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(
                  t
              ),
              use_gpu=False,
          )
          self._testSoftsign(
              np.array([[-9, 7, -5, 3, -1], [1, -3, 5, -7, 9]]).astype(
                  t
              ),
              use_gpu=True,
          )
  
file_path: tensorflow/tensorflow/python/kernel_tests/nn_ops/softsign_op_test.py
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import nn_ops
  import tensorflow.python.ops.nn_grad
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the SoftsignTest obj's underlying member method code with example usage: obj.testNumbers() without return types