Tencent/TurboTransformers

Developing CPU INT8 quantization

Open

#103 opened on Jun 28, 2020

View on GitHub
 (5 comments) (0 reactions) (1 assignee)C++ (206 forks)github user discovery
documentationenhancementhelp wanted

Repository metrics

Stars
 (1,546 stars)
PR merge metrics
 (PR metrics pending)

Description

Using FBGEMM to support CPU quantization.

Contributor guide

Research direction
Study FBGEMM library for INT8 quantization and integrate it into the CPU backend of TurboTransformers. Identify the key components (e.g., packing, kernel) and implement them following existing patterns.
Tech stack
cpp
Domain
machine learning
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
C++Quantization knowledge
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30