code: def test_invalid_rank(self):
      with self.assertRaisesRegex(
          (ValueError, errors.InvalidArgumentError), "at most rank 2"
      ):
          with test_util.use_gpu():
              self.evaluate(
                  gen_math_ops.dense_bincount(
                      input=[[[1, 2, 3], [0, 3, 2]]],
                      weights=[],
                      size=10,
                  )
              )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import bincount_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import sparse_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 14 for calling the BincountOpTest obj's underlying member method code with example usage: obj.test_invalid_rank() without return types