code: def test_bincount_determinism_error(self):
      arr = np.random.randint(0, 1000, size=1000)
      with test_util.deterministic_ops(), self.assertRaisesRegex(
          errors_impl.UnimplementedError,
          "Determinism is not yet supported in GPU implementation of "
          "(Dense)?Bincount.",
      ):
          self.evaluate(bincount_ops.bincount(arr, None, axis=None))
      arr = np.random.randint(0, 1000, size=(100, 100))
      with test_util.deterministic_ops(), self.assertRaisesRegex(
          errors_impl.UnimplementedError,
          "Determinism is not yet supported in GPU implementation of "
          "(Dense)?Bincount.",
      ):
          self.evaluate(bincount_ops.bincount(arr, None, axis=-1))
  
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 6 for calling the BincountTest obj's underlying member method code with example usage: obj.test_bincount_determinism_error() without return types