class_docstr: Tests involving multiple threads.
class_docstr_tok: ["Tests","involving","multiple","threads","."]
code: def test_multiple_conversion_jobs_with_calibration(self):
      # Ensure that multiple conversion jobs with calibration won't encounter any
      # concurrency issue.
      with self.pool:
          jobs = []
          for _ in range(10):
              jobs.append(
                  self.pool.submit(self._convert_with_calibration)
              )
  
          for job in jobs:
              self.assertIsNotNone(job.result())
  
file_path: tensorflow-upstream/tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/concurrency_test.py
imports: from concurrent import futures
  import numpy
  import tensorflow
  from tensorflow.compiler.mlir.quantization.tensorflow import quantization_options_pb2
  from tensorflow.compiler.mlir.quantization.tensorflow.python import quantize_model
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.saved_model import save
  from tensorflow.python.saved_model import tag_constants
  from tensorflow.python.trackable import autotrackable
label_desc: Use image node_id 3 for calling the MultiThreadedTest obj's underlying member method code with example usage: obj.test_multiple_conversion_jobs_with_calibration() without return types