docstr: Checks that the expected maximum batch sizes for the generated engines.
  
  Args:
    run_params: the run parameters.
  
  Returns:
    the expected maximum batch sizes for the generated engines.
  
  There shall be engines generated for each maximum batch size.
docstr_tok: ["Checks","that","the","expected","maximum","batch","sizes","for","the","generated","engines",".","Args",":","run_params",":","the","run","parameters",".","Returns",":","the","expected","maximum","batch","sizes","for","the","generated","engines",".","There","shall","be","engines","generated","for","each","maximum","batch","size","."]
code: def ExpectedMaxBatchSizes(self, run_params):
      """Checks that the expected maximum batch sizes for the generated engines.
  
      Args:
        run_params: the run parameters.
  
      Returns:
        the expected maximum batch sizes for the generated engines.
  
      There shall be engines generated for each maximum batch size.
      """
      return self.max_batch_sizes
  
imports: import unittest
  from tensorflow.core.framework import attr_value_pb2
  from tensorflow.python.compiler.tensorrt.test import tf_trt_integration_test_base
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the MaxBatchSizesTestBase obj's underlying member method code with example usage: obj.ExpectedMaxBatchSizes(run_params) and returns: self