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[diffusion] chore: revise process title#18446

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mickqian merged 3 commits intomainfrom
diffusion-logging
Feb 8, 2026
Merged

[diffusion] chore: revise process title#18446
mickqian merged 3 commits intomainfrom
diffusion-logging

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@mickqian mickqian commented Feb 8, 2026

after this PR, the setting of --num-gpus=4 --ulysses-degree=2 --enable-cfg-parallel would look like this in nvidia-smi:

|    3   N/A  N/A         3356502      C   sgl_diffusion::scheduler_U0_C0         6148MiB |
|    4   N/A  N/A         3356503      C   sgl_diffusion::scheduler_U1_C0         6148MiB |
|    5   N/A  N/A         3356504      C   sgl_diffusion::scheduler_U0_C1         6148MiB |
|    6   N/A  N/A         3356505      C   sgl_diffusion::scheduler_U1_C1         6148MiB |

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@mickqian mickqian requested a review from yhyang201 as a code owner February 8, 2026 13:47
@github-actions github-actions bot added the diffusion SGLang Diffusion label Feb 8, 2026
@mickqian mickqian changed the title [diffusion] chore: revise process name [diffusion] chore: revise process title Feb 8, 2026
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Summary of Changes

Hello @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 enhances the clarity and debuggability of GPU worker processes within the diffusion module by revising their naming convention. The change ensures that process titles are set after the distributed environment is fully initialized and incorporates detailed information about the active model parallel groups, allowing for easier identification and monitoring of individual processes in a distributed setup.

Highlights

  • Process Title Refactoring: The logic for setting the process title (setproctitle) in gpu_worker.py has been refactored and moved to occur after the distributed environment initialization.
  • Dynamic Process Naming: The process title now dynamically includes suffixes based on various initialized model parallel groups (Tensor Parallel, Ulysses Parallel, Ring Parallel, and Classifier-Free Guidance Parallel) and their respective ranks, providing more descriptive process identification.
  • Distributed State Imports: New imports for distributed parallel state functions (e.g., get_tp_rank, get_ulysses_parallel_rank, get_classifier_free_guidance_rank) have been added to support the dynamic process naming.

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Changelog
  • python/sglang/multimodal_gen/runtime/managers/gpu_worker.py
    • Added imports for distributed parallel state functions such as get_tp_rank, get_tp_world_size, model_parallel_is_initialized, get_classifier_free_guidance_rank, get_classifier_free_guidance_world_size, get_ring_parallel_rank, get_ring_parallel_world_size, get_ulysses_parallel_rank, and get_ulysses_parallel_world_size.
    • Removed the setproctitle call from its original position before distributed environment initialization.
    • Re-inserted the setproctitle call after the maybe_init_distributed_environment_and_model_parallel function call.
    • Modified the setproctitle logic to construct a dynamic suffix for the process name, incorporating ranks from Tensor Parallel (TP), Ulysses Parallel (U), Ring Parallel (R), and Classifier-Free Guidance Parallel (C) if model parallelism is initialized.
    • Implemented a fallback for the process name to sgl_diffusion::scheduler_{self.local_rank} if model parallelism is not initialized.
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mickqian commented Feb 8, 2026

/tag-and-rerun-ci

@github-actions github-actions bot added the run-ci label Feb 8, 2026
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Code Review

This pull request revises how the process title is set for diffusion workers, providing more detailed information about the parallelization strategy being used. The change is a good improvement for observability. I've suggested a small refactoring to make the new title-building logic more concise and maintainable.

Comment on lines +103 to +115
suffix = ""
if get_tp_world_size() != 1:
tp_rank = get_tp_rank()
suffix += f"_TP{tp_rank}"
if get_ulysses_parallel_world_size() != 1:
u_rank = get_ulysses_parallel_rank()
suffix += f"_U{u_rank}"
if get_ring_parallel_world_size() != 1:
r_rank = get_ring_parallel_rank()
suffix += f"_R{r_rank}"
if get_classifier_free_guidance_world_size() != 1:
c_rank = get_classifier_free_guidance_rank()
suffix += f"_C{c_rank}"
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medium

The code for building the process title suffix is a bit repetitive. You can make it more concise and maintainable by using a data-driven approach with a list comprehension. This avoids repeating the if world_size != 1 check and string concatenation logic.

            parallel_info = [
                ("TP", get_tp_world_size, get_tp_rank),
                ("U", get_ulysses_parallel_world_size, get_ulysses_parallel_rank),
                ("R", get_ring_parallel_world_size, get_ring_parallel_rank),
                ("C", get_classifier_free_guidance_world_size, get_classifier_free_guidance_rank),
            ]
            suffix = "".join([
                f"_{prefix}{rank_fn()}"
                for prefix, world_size_fn, rank_fn in parallel_info
                if world_size_fn() != 1
            ])

@mickqian mickqian merged commit 6601bc2 into main Feb 8, 2026
105 of 110 checks passed
@mickqian mickqian deleted the diffusion-logging branch February 8, 2026 16:14
charlesHsuGG pushed a commit to charlesHsuGG/sglang that referenced this pull request Feb 9, 2026
Johnsonms pushed a commit to Johnsonms/sglang that referenced this pull request Feb 14, 2026
1StepForever pushed a commit to 1StepForever/sglang that referenced this pull request Feb 26, 2026
* www/pr/ks: (265 commits)
  [BugFix][PD]Fix metadata_buffer_index leak when aborted in PD (sgl-project#17483)
  Refactoring Mooncake TE as a shared distributed component (sgl-project#17810)
  [ModelOPT] Support Qwen 3 Next Coder NVFP4 (sgl-project#18224)
  Update author information in pyproject.toml (sgl-project#18453)
  [Kimi-K2.5] Fix missing `quant_config` in `KimiK25` (sgl-project#18440)
  Add tensor parallelism support to LFM2 ShortConv layers (sgl-project#17777)
  [diffusion] chore: revise process title (sgl-project#18446)
  Fix TRT-LLM MLA backend applying k_scale to BF16 KV cache in BMM1 (sgl-project#18396)
  [diffusion] refactor: group component loaders under the component_loaders/ directory (sgl-project#18438)
  [ModelOpt] Fix broken Qwen3-235B-A22B-Instruct-2507-NVFP4 launch (sgl-project#18189)
  [diffusion] feat: support efficient sequence shard (sgl-project#18161)
  [CI] fix: notebook ci may not working (sgl-project#18417)
  fix: sync server_args.kv_cache_dtype when detecting FP8 KV cache (sgl-project#18394)
  [Fix] Fix backend selection after flashinfer version update (sgl-project#18364)
  [diffusion] platform: support WAN/FLUX/Qwen-Image/Qwen-Image-edit on Ascend (sgl-project#13662)
  fix: fix NVFP4 Kimi-K2.5 weight mapping and exclude list (sgl-project#18370)
  [diffusion] feat: support saving videos directly on the server to avoid the overhead of tensor transfer (sgl-project#18253)
  [diffusion] fix: respect dist_timeout option (sgl-project#18386)
  [Doc] Fix outdated `--fp4-gemm-backend` documentation (sgl-project#18350)
  [diffusion] fix: remove unnecessary norm_type argument from GLM-Image dits (sgl-project#18382)
  ...
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