pytorch/serve

Having two different endpoints for a single model

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#2,058 建立於 2023年1月5日

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 (2 留言) (0 反應) (0 負責人)Java (3,844 star) (790 fork)batch import
enhancementhelp wantedtriaged

描述

Hello!

Is it possible to create two different endpoints for a single model? So it can work in two separate modes and batch accordingly depending on the input (e.g., it can generate an image or perform upscaling given an input). I can make two different models but then the memory will be double, while actually no extra memory is needed (as the model weights are the same). Ideally, I want to have the same model weights but two different endpoints with different batching settings.

Best, Valentin

貢獻者指南

技術棧
pythonpytorchjava
領域
backendapi
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
4
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-2 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
TorchServe basicsModel serving conceptsPython/Java knowledge
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
30
研究方向
Investigate TorchServe's model registration and endpoint configuration in files like 'frontend/model server.py' or 'backend/...'. Look for how batching is tied to endpoints. The issue may require creating a configuration to allow multiple endpoints per model with separate batching parameters. Links to relevant code should be examined.
Having two different endpoints for a single model · pytorch/serve#2058 | Good First Issue