无法在 1200 秒内刷新任务队列答案

【问题标题】：Unable to flush task queue within 1200 seconds无法在 1200 秒内刷新任务队列
【发布时间】：2019-12-07 20:07:04
【问题描述】：

在运行我的 automl 管道时，我在 MetricsAndSaveModel 活动期间不断收到错误，这导致我的模型训练运行失败：

2019-12-06 22:48:01,233 - INFO - 295 : ActivityCompleted: Activity=MetricsAndSaveModel, HowEnded=Failure, Duration=1200977.92[ms]
2019-12-06 22:48:01,235 - CRITICAL - 295 : Type: Unclassified
Class: AzureMLException
Message: AzureMLException:
    Message: Failed to flush task queue within 1200 seconds
    InnerException None
    ErrorResponse 
{
    "error": {
        "message": "Failed to flush task queue within 1200 seconds"
    }
}
Traceback:
  File "fit_pipeline.py", line 222, in fit_pipeline
    automl_run_context.batch_save_artifacts(strs_to_save, models_to_upload)
  File "automl_run_context.py", line 201, in batch_save_artifacts
    timeout_seconds=ARTIFACT_UPLOAD_TIMEOUT_SECONDS)
  File "run.py", line 49, in wrapped
    return func(self, *args, **kwargs)
  File "run.py", line 1824, in upload_files
    timeout_seconds=timeout_seconds)
  File "artifacts_client.py", line 167, in upload_files
    results.append(task)
  File "task_queue.py", line 53, in __exit__
    self.flush(self.identity)
  File "task_queue.py", line 126, in flush
    raise AzureMLException("Failed to flush task queue within {} seconds".format(timeout_seconds))

【问题讨论】：

标签： python azure automl azure-machine-learning-service polynote

【解决方案1】：

AutoML 服务中当前的超时限制设置为 20 分钟，我们的产品团队正在努力在未来的版本中将此设置为可配置设置。目前，要增加此限制，您可以修改脚本 automl_run_context.py 以将 ARTIFACT_UPLOAD_TIMEOUT_SECONDS 更新为更高的值，然后重试运行管道。

【讨论】：