class_docstr: Tests involving multiple threads.
class_docstr_tok: ["Tests","involving","multiple","threads","."]
code: def setUp(self):
      super(MultiThreadedTest, self).setUp()
      self.pool = futures.ThreadPoolExecutor(max_workers=4)
  
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 1 for calling the MultiThreadedTest obj's underlying member method code with example usage: obj.setUp() without return types