alibaba/GraphScope

[GLE] Explicitly build the training client using the GLE server handle

Open

#2,738 opened on 2023年5月25日

GitHub で見る
 (1 comment) (0 reactions) (1 assignee)HTML (2,401 stars) (301 forks)batch import
component:glegood first issue

説明

A graph object is returned after the GLE servers are launched, which is further used to build the client that the training worker uses to communicate with the GLE servers. While in distributed training（multiple training workers), we need to first get the handle of the graph (including the schema info, service IP and port), and use these information to build client in the training side. This issue is to add APIs and implementations to ease the process of explicitly building the training client using the GLE server handle.

コントリビューターガイド

技術スタック
pythoncpp
領域
backendapimachine learning
Issue 種別
feature
難度新しい貢献者にとっての実装難度です。1 は非常に小さな変更、5 は専門的な作業です。
4
推定時間経験ある貢献者が調査、実装、テスト、pull request 準備にかけるおおよその時間範囲です。
3-5 days
活動状況Issue が今どれだけ取り組みやすいかを示します。新しい、活発、古い、ブロック中、またはメンテナー入力待ちなどです。
blocked
明確さ期待される変更、受け入れ条件、次の手順がどれだけ明確かを示します。
clear
前提条件
Distributed systems understandingPython programmingFamiliarity with GraphScope GLE
初心者向け度初回貢献者にどれだけ取り組みやすいかを 1-100 で推定したスコアです。
20
調査方針
Review the existing GLE server handle object to understand its structure. Look at the current client building process for single worker training. Then design an API to extract handle information (schema, IP, port) and expose it. Check any existing similar APIs in the codebase. Consider the comments in the issue for guidance.
[GLE] Explicitly build the training client using the GLE server handle · alibaba/GraphScope#2738 | Good First Issue