class_docstr: Create a graph containing single segment with no quantization ranges.
docstr: Return the expected engines to build.
docstr_tok: ["Return","the","expected","engines","to","build","."]
code: def ExpectedEnginesToBuild(self, run_params):
      """Return the expected engines to build."""
      # In static engine mode with calibration, it should build a calibration
      # engine.
      # In static engine mode without calibration, the engine building will
      # succeed but fall back to non-quantized ops.
      return ["TRTEngineOp_000"]
  
imports: import numpy
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the QuantizationMissingAllRangesTest obj's underlying member method code with example usage: obj.ExpectedEnginesToBuild(run_params) and returns: list