Tencent/TurboTransformers

Release conda packages

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#19 opened on Apr 28, 2020

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enhancementhelp wanted

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Description

Using the docker image is not easy for all developers. It is better to release coda packages. The possible packages are:

Device\CPU AVX2 AVX SSE4 ARMv7
CPU
CUDA

Contributor guide

Research direction
Investigate how to create conda packages for TurboTransformers, supporting CPU and CUDA builds with different instruction sets (AVX2, AVX, SSE4, ARMv7). Explore existing conda recipes for similar projects and adapt the CMake build system.
Tech stack
python
Domain
devops
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
condaCMake
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
50