code: def testErrors(self):
      x = np.zeros([1, 1], np.int8)
      datatype = dtypes.int32
      # When eager_op_as_function is enabled shape inference will raise
      # a different more informative error message.
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError),
          "Cannot bitcast from 6 to 3|convert from s8.* to S32",
      ):
          array_ops.bitcast(x, datatype, None)
  
file_path: tensorflow-upstream/tensorflow/python/kernel_tests/array_ops/bitcast_op_test.py
imports: import sys
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the BitcastTest obj's underlying member method code with example usage: obj.testErrors() without return types