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dotrail
2025-02-27 12:01:05 +00:00
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@@ -9,7 +9,7 @@ Here, we publicly share profiling data from our training and inference framework
![train](assets/train.jpg)
The training profile data demonstrates our overlapping strategy for a pair of individual forward and backward chunks in [DualPipe](https://github.com/deepseek-ai/dualpipe). Each chunk contains 4 MoE (Mixture of Experts) layers.
The parallel configuration aligns with DeepSeek-V3 pretraining settings: EP64, TP1 with 4K sequence length. And the PP communication is not included during profilng for simplicity.
The parallel configuration aligns with DeepSeek-V3 pretraining settings: EP64, TP1 with 4K sequence length. And the PP communication is not included during profiling for simplicity.
## Inference