code: def testIntTypes(self):
      for t in [np.int8, np.int16, np.int32, np.int64]:
          self._testAll(
              np.array([[10, 20, 30], [40, 50, 60]]).astype(t),
              np.array([1, 2, 3]).astype(t),
          )
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  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 13 for calling the BiasAddTestBase obj's underlying member method code with example usage: obj.testIntTypes() without return types