tensorflow/inference/docker/build_artifacts/sagemaker/serve.py [461:491]:
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            p = subprocess.Popen(cmd.split())
            log.info("started tensorflow serving (pid: {})".format(p.pid))

        return p

    def _monitor(self):
        while True:
            pid, status = os.wait()

            if self._state != "started":
                break

            if pid == self._nginx.pid:
                log.warning("unexpected nginx exit (status: {}). restarting.".format(status))
                self._start_nginx()

            elif self._is_tfs_process(pid):
                log.warning(
                    "unexpected tensorflow serving exit (status: {}). restarting.".format(status)
                )
                try:
                    self._restart_single_tfs(pid)
                except (ValueError, OSError) as error:
                    log.error("Failed to restart tensorflow serving. {}".format(error))

            elif self._gunicorn and pid == self._gunicorn.pid:
                log.warning("unexpected gunicorn exit (status: {}). restarting.".format(status))
                self._start_gunicorn()

    def start(self):
        log.info("starting services")
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tensorflow/inference/docker/build_artifacts/sagemaker_neuron/serve.py [428:458]:
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        p = subprocess.Popen(cmd.split())
        log.info("started tensorflow serving (pid: {})".format(p.pid))

        return p

    def _monitor(self):
        while True:
            pid, status = os.wait()

            if self._state != "started":
                break

            if pid == self._nginx.pid:
                log.warning("unexpected nginx exit (status: {}). restarting.".format(status))
                self._start_nginx()

            elif self._is_tfs_process(pid):
                log.warning(
                    "unexpected tensorflow serving exit (status: {}). restarting.".format(status)
                )
                try:
                    self._restart_single_tfs(pid)
                except (ValueError, OSError) as error:
                    log.error("Failed to restart tensorflow serving. {}".format(error))

            elif self._gunicorn and pid == self._gunicorn.pid:
                log.warning("unexpected gunicorn exit (status: {}). restarting.".format(status))
                self._start_gunicorn()

    def start(self):
        log.info("starting services")
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