Fabric Error: failed to create deliver client: orderer client failed to connect to orderer.example.c

Error: failed to create deliver client: orderer client failed to connect to orderer.example.com:7050: failed to create new connection: context deadline exceeded可能是时延问题https://blog.csdn.net/weixin_4079

软件工程小施同学

2274人浏览 · 2021-01-08 20:53:43

软件工程小施同学 · 2021-01-08 20:53:43 发布

Error: failed to create deliver client for orderer: orderer client failed to connect to orderer.example.com:7050: failed to create new connection: context deadline exceeded
!!!!!!!!!!!!!!! Fetching config block from orderer has Failed !!!!!!!!!!!!!!!!
========= ERROR !!! FAILED to execute End-2-End Scenario ===========

可能是时延问题

https://blog.csdn.net/weixin_40799076/article/details/102892344?ops_request_misc=%25257B%252522request%25255Fid%252522%25253A%252522161010819716780274133126%252522%25252C%252522scm%252522%25253A%25252220140713.130102334.pc%25255Fall.%252522%25257D&request_id=161010819716780274133126&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_v2~rank_v29-14-102892344.first_rank_v2_pc_rank_v29&utm_term=orderer%20client%20failed%20to%20connect%20to%20orderer.example.com:7050:%20failed%20to%20create%20new%20connection:%20context%20deadline%20exceeded

可能是镜像问题

https://blog.csdn.net/shuizhongmose/article/details/107959814?ops_request_misc=%25257B%252522request%25255Fid%252522%25253A%252522161010925316780255249753%252522%25252C%252522scm%252522%25253A%25252220140713.130102334.pc%25255Fall.%252522%25257D&request_id=161010925316780255249753&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~all~first_rank_v2~rank_v29-10-107959814.first_rank_v2_pc_rank_v29&utm_term=orderer%20client%20failed%20to%20connect%20to%20orderer.example.com:7050:%20failed%20to%20create%20new%20connection:%20context%20deadline%20exceeded

我还没有尝试上面的方法，因为我重启好了

技术共进，成长同行——讯飞AI开发者社区

更多推荐

论文笔记：AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models（AlphaEdit）

论文发表于人工智能顶会ICLR（基于定位和修改的模型编辑方法（针对和等）会破坏LLM中最初保存的知识，特别是在顺序编辑场景。为此，本文提出AlphaEdit：1、在将保留知识应用于参数之前，将扰动投影到保留知识的零空间上。2、从理论上证明，这种预测确保了在查询保留的知识时，编辑后的LLM的输出保持不变，从而减轻中断问题。3、对各种LLM（包括LLaMA3、GPT2XL和GPT-J）的广泛实验表明，