code: def test_tensor_float_32_enabled(self):
      self._skip_if_tensor_float_32_unsupported()
      self.assertTrue(config.tensor_float_32_execution_enabled())
  
      x = array_ops.fill((self.DIM, self.DIM), 1 + 2**-12)
      y = array_ops.ones((self.DIM, self.DIM))
      out = math_ops.matmul(x, y)
      # In TensorFloat-32, each element of x is rounded to 1, so each output
      # element should be self.DIM.
      expected = array_ops.fill((self.DIM, self.DIM), float(self.DIM))
      self.assertAllEqual(out, expected)
  
imports: from absl.testing import parameterized
  from tensorflow.core.protobuf import cluster_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.core.protobuf import tensorflow_server_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.util import compat
label_desc: Use image node_id 4 for calling the TensorFloat32Test obj's underlying member method code with example usage: obj.test_tensor_float_32_enabled() without return types