class_docstr: The driver to run all sample models in all specified configurations.
class_docstr_tok: ["The","driver","to","run","all","sample","models","in","all","specified","configurations","."]
docstr: Runs all tests available.
docstr_tok: ["Runs","all","tests","available","."]
code: def run_all_tests(self) -> None:
      """Runs all tests available."""
      self.run_trt_precision_tests()
      logging.info("Check analysis result at: %s", self._output_dir)
  
imports: import functools
  import os
  import tempfile
  from typing import Callable, Iterable, Sequence
  from collections import namedtuple
  from absl import app
  from absl import flags
  from tensorflow.python.compiler.tensorrt import trt_convert
  from tensorflow.python.compiler.tensorrt.model_tests import model_handler
  from tensorflow.python.compiler.tensorrt.model_tests import result_analyzer
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import signature_constants
  from tensorflow.python.saved_model import tag_constants
label_desc: Use image node_id 5 for calling the SampleRunner obj's underlying member method code with example usage: obj.run_all_tests() without return types