code: def _skip_if_tensor_float_32_unsupported(self):
      if not test_util.is_gpu_available(
          cuda_only=True, min_cuda_compute_capability=(8, 0)
      ):
          self.skipTest(
              "TensorFloat-32 requires an NVIDIA GPU with compute "
              "capability of at least 8.0"
          )
  
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 3 for calling the TensorFloat32Test obj's underlying member method code with example usage: obj._skip_if_tensor_float_32_unsupported() without return types