[diffusion] fix: fix video model sp when resolution is not specified#15047
[diffusion] fix: fix video model sp when resolution is not specified#15047
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Summary of ChangesHello @mickqian, 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 robustness issue in the video model's spatial partitioning logic. It introduces a crucial change to handle cases where the video's time dimension is not perfectly divisible by the spatial partitioning degree. By adding strategic padding to the latent representations, the system can now gracefully process such inputs, ensuring stable and correct sharding operations without requiring specific resolution alignments. Highlights
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Code Review
This pull request aims to fix an issue with sequence parallelism (SP) for video models by padding latents when their time dimension is not divisible by the SP world size. While the intent is correct, the implementation introduces two critical bugs: an incorrect shape construction for the padding tensor which would cause a runtime error, and a logical flaw that prevents the sharding operation from executing after padding. My review provides a single, comprehensive code suggestion to fix both issues and ensure the logic is correct.
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…n_eagle3_npu * 'main' of https://github.com/sgl-project/sglang: (89 commits) [model-gateway] Remove legacy RouterMetrics and Rename SmgMetrics to Metrics and smg_labels to metrics_labels (sgl-project#15160) [diffusion] fix: fix video model sp when resolution is not specified (sgl-project#15047) [diffusion] fix: fix pytorch non-writable array warning (sgl-project#15017) [diffusion] fix: cache dit with parallel (sgl-project#15163) chore: change npu pr-test a2 runner (sgl-project#15152) [Feature] Fuse mrope all in 1 kernel (sgl-project#14906) Fix num running requests (load) wrong cleared for ongoing requests (sgl-project#15116) Fused two elementwise kernels for k_nope and k_pe concat (sgl-project#14862) fix: adding date and fixing release name issue (sgl-project#15174) [CPU] Add Gemma3RMSNorm kernel in sgl-kernel and add ut (sgl-project#9324) feature: PR wheel (sgl-project#15170) [diffusion] model: support mutli-image input and qwen-image-edit-2509 (sgl-project#15005) fix CompressedTensorsW8A8Int8 min_capability (sgl-project#13914) Tiny improve summary text in `bench_one_batch_server.py` (sgl-project#15158) [model-gateway] add mcp and discovery metrics (sgl-project#15156) fix: move ci-bot (sgl-project#15154) Fix import warnings (sgl-project#15144) ci: adding errors to Github summary (sgl-project#14778) [model-gateway] Add streaming metrics for harmony gRPC router (sgl-project#15147) [model-gateway] upgrade axum and axum server (sgl-project#15146) ... # Conflicts: # python/sglang/srt/server_args.py
…gl-project#15047) Co-authored-by: Brain97 <Brain97@users.noreply.github.com>
…gl-project#15047) Co-authored-by: Brain97 <Brain97@users.noreply.github.com>
fixes #15045
Motivation
Modifications
Accuracy Tests
Benchmarking and Profiling
Checklist