pytorch/serve

Having two different endpoints for a single model

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#2,058 创建于 2023年1月5日

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 (2 评论) (0 反应) (0 负责人)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

贡献者指南

技术栈
pythonpytorchjava
领域
backendapi
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
TorchServe basicsModel serving conceptsPython/Java knowledge
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
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.