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徐梓杨

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徐梓杨

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
61
Activity Months1

Work History

November 2025

1 Commits • 1 Features

Nov 1, 2025

2025-11 PaddleFormers monthly summary: Delivered data-parallel training support for Mixture of Experts (dp-moe) within Zero-Cost Checkpointing (ZCC). This enables scalable training for large models by combining expert-parallelism with ZCC while preserving memory efficiency. Updated state_dict loading/handling to accommodate expert parallelism and ensure correct weight management during training. The change is tracked in commit 6f0c3e6e0be41ac33e0478fdd545dd6692ddc175 ([fea] support dp-moe for zcc and global_expert_id (#2812)).

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Deep LearningDistributed SystemsMachine LearningPython

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

PaddlePaddle/PaddleFormers

Nov 2025 Nov 2025
1 Month active

Languages Used

Python

Technical Skills

Deep LearningDistributed SystemsMachine LearningPython

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