Fix CP in-seq-split method for DeepSeek V32 and update related tests#21192
Fix CP in-seq-split method for DeepSeek V32 and update related tests#21192Fridge003 merged 3 commits intosgl-project:mainfrom
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Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request addresses a critical bug in the context parallel (CP) implementation for DeepSeek V3.2 models by fixing an incorrect calculation of the attention context parallel size. Additionally, it streamlines the continuous integration (CI) environment by updating all test configurations to reference the official DeepSeek V3.2 model, removing dependencies on the previously used experimental version. These changes ensure more accurate model behavior and a more robust testing pipeline. Highlights
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Code Review
This pull request correctly fixes the context parallelism size calculation for DeepSeek V32 when data parallelism is active. It also standardizes the test suite by replacing the experimental DeepSeek-V3.2-Exp model with the official DeepSeek-V3.2 version across multiple test files. The logic change is sound, and the updates to the tests are appropriate. I have added one minor suggestion to improve code clarity in a test file.
| register_cuda_ci(est_time=5400, suite="nightly-8-gpu-common", nightly=True) | ||
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| DEEPSEEK_V32_EXP_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2-Exp" | ||
| DEEPSEEK_V32_EXP_MODEL_PATH = "deepseek-ai/DeepSeek-V3.2" |
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/rerun-stage stage-c-test-8-gpu-h200 |
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✅ Triggered |
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/rerun-stage stage-c-test-deepep-8-gpu-h200 |
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✅ Triggered |
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/rerun-stage stage-c-test-8-gpu-h200 |
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✅ Triggered |
Motivation
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist
Review Process
/tag-run-ci-label,/rerun-failed-ci,/tag-and-rerun-ci