dags/inference/configs/trt_llm_mlperf_v40_config.py [110:130]:
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  docker_cmd = " && ".join(docker_cmds)
  run_model_cmds = (
      "pip install jsonlines",
      f"docker restart {docker_container_name}",
      f'docker exec -i {docker_container_name} /bin/bash -c "{docker_cmd}"',
      make_jsonl_converter_cmd,
      "cat jsonl_converter.py",
      f"python3 jsonl_converter.py {jsonl_output_path}",
      f"cat {jsonl_output_path}",
      f"gsutil cp {jsonl_output_path} {metric_config.SshEnvVars.GCS_OUTPUT.value}",
  )

  job_test_config = test_config.GpuVmTest(
      test_config.Gpu(
          machine_type=machine_type.value,
          image_family=image_family.value,
          count=count,
          accelerator_type=accelerator_type.value,
          runtime_version=RUNTIME_IMAGE,
          network=network,
          subnetwork=subnetwork,
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dags/inference/configs/trt_llm_mlperf_v41_config.py [168:188]:
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  docker_cmd = " && ".join(docker_cmds)
  run_model_cmds = (
      "pip install jsonlines",
      f"docker restart {docker_container_name}",
      f'docker exec -i {docker_container_name} /bin/bash -c "{docker_cmd}"',
      make_jsonl_converter_cmd,
      "cat jsonl_converter.py",
      f"python3 jsonl_converter.py {jsonl_output_path}",
      f"cat {jsonl_output_path}",
      f"gsutil cp {jsonl_output_path} {metric_config.SshEnvVars.GCS_OUTPUT.value}",
  )

  job_test_config = test_config.GpuVmTest(
      test_config.Gpu(
          machine_type=machine_type.value,
          image_family=image_family.value,
          count=count,
          accelerator_type=accelerator_type.value,
          runtime_version=RUNTIME_IMAGE,
          network=network,
          subnetwork=subnetwork,
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