mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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Change Log
All notable changes to this project will be documented in this file.
🚩 We have moved the change log to the GitHub release page
v0.0.2 | 2022-02
Added
- Unified distributed layers
- MoE support
- DevOps tools such as github action, code review automation, etc.
- New project official website
Changes
- refactored the APIs for usability, flexibility and modularity
- adapted PyTorch AMP for tensor parallel
- refactored utilities for tensor parallel and pipeline parallel
- Separated benchmarks and examples as independent repositories
- Updated pipeline parallelism to support non-interleaved and interleaved versions
- refactored installation scripts for convenience
Fixed
- zero level 3 runtime error
- incorrect calculation in gradient clipping
v0.0.1 beta | 2021-10
The first beta version of Colossal-AI. Thanks to all contributors for the effort to implement the system.
Added
- Initial architecture of the system
- Features such as tensor parallelism, gradient clipping, gradient accumulation