PaddlePaddle/PaddleFormers
Oct 2025 – Oct 2025
1 Month active
Languages Used
Python
Technical Skills
Callback ImplementationDeep LearningDistributed TrainingModel Optimization
zhengzhonghui
PROFILE
Zhengzhonghui
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
101
Activity Months1
Your Network
48 people
Work History
October 2025
1 Commits
Oct 1, 2025Month 2025-10 — PaddleFormers performance summary focused on MoE stability in distributed training. Delivered a critical fix to MoE loss computation and gradient synchronization in sequence-parallel mode, improving training correctness and reproducibility across GPUs. Introduced a new gate weight all-reduce callback to ensure consistent gating weight synchronization during distributed aggregation. These changes reduce training divergence risks in MoE models and lay groundwork for further MoE improvements.
1 Commits
Oct 1, 2025Month 2025-10 — PaddleFormers performance summary focused on MoE stability in distributed training. Delivered a critical fix to MoE loss computation and gradient synchronization in sequence-parallel mode, improving training correctness and reproducibility across GPUs. Introduced a new gate weight all-reduce callback to ensure consistent gating weight synchronization during distributed aggregation. These changes reduce training divergence risks in MoE models and lay groundwork for further MoE improvements.
October 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Callback ImplementationDeep LearningDistributed TrainingModel Optimization
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