DSE_TIMEOUT tensorflow network_error ai_generated true

DeadlineExceededError: Data service worker timed out after 60000ms

ID: tensorflow/data-service-timeout

Also available as: JSON · Markdown · 中文
82%Fix Rate
88%Confidence
1Evidence
2024-05-10First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
tensorflow==2.16.1 active — — —
tensorflow-data-service==0.10.0 active — — —

Root Cause

The tf.data service dispatcher did not receive a heartbeat from a worker within the deadline, indicating worker unavailability or network partition.

generic

中文

tf.data 服务调度器未在截止时间内收到工作线程的心跳，表明工作线程不可用或网络分区。

Official Documentation

https://www.tensorflow.org/api_docs/python/tf/data/experimental/service

Workarounds

  1. 85% success Verify worker connectivity and restart the worker process with proper gRPC settings. 
    Verify worker connectivity and restart the worker process with proper gRPC settings.
  2. 75% success Reduce the number of parallel calls in the data pipeline to lower worker load. 
    Reduce the number of parallel calls in the data pipeline to lower worker load.

中文步骤

  1. Verify worker connectivity and restart the worker process with proper gRPC settings.
  2. Reduce the number of parallel calls in the data pipeline to lower worker load.

Dead Ends

Common approaches that don't work:

  1. 80% fail

    Restarting the dispatcher without checking worker health does not fix the root cause of worker timeout.

  2. 60% fail

    Increasing the timeout hides the symptom but the underlying network issue remains.