[shihaobai]

Summary

The GLM-5.3 indexer allocates an FP32 logits tensor whose size grows with query count and pooled context length. This PR makes the temporary workspace explicit and bounded:

• the default remains 64 MiB, matching the existing behavior;
• LIGHTLLM_GLM53_PREFILL_LOGITS_MIB accepts an integer budget from 16 to 1024 MiB;
• larger budgets process more queries per chunk, while smaller budgets reduce peak temporary memory;
• each logits chunk is released before the next DeepGEMM allocation;
• English and Chinese FP8 KV documentation explain the setting.

The per-query indexer math and selected top-k results are unchanged. This PR is separate from the GLM precision changes in #1657.

Validation

On NVIDIA H200 with PyTorch 2.11.0+cu130, Triton 3.6.0, vLLM 0.22.1, and sglang-kernel 0.4.5:

• 191 GPU tests passed, including the new budget/lifetime tests and GLM indexer, FP8 KV, and KDA regressions.
• Black 21.12b0, Flake8 6.1.0, Python syntax checks, and git diff --check passed.

Summary by CodeRabbit

• New Features

  • Added a configurable memory budget for GLM-5.3 Flash prefill indexing. The default is 64 MiB per temporary logits chunk; supported values range from 16 to 1024 MiB. Larger budgets can process more queries per chunk while using more temporary GPU memory.
  • The setting applies to both quantized and unquantized KV and affects indexer chunking, not total model memory.

• Documentation

  • Updated the Chinese and English guides with the budget options and memory trade-offs.

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Important

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Commits

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Walkthrough

The GLM-5.3 Flash indexer now uses a configurable memory budget to determine prefill logits chunk sizes. The English and Chinese guides describe the default, valid range, and effect of the setting. Tests cover budget validation, chunk sizing, and CUDA results.

Changes: Prefill logits budget

Layer / File(s)	Summary
Configure and validate prefill chunking lightllm/models/glm5_next/indexer.py, unit_tests/models/glm5_next/test_indexer_workspace.py, docs/EN/source/tutorial/fp8_kv_quantization.rst, docs/CN/source/tutorial/fp8_kv_quantization.rst	The indexer reads LIGHTLLM_GLM53_PREFILL_LOGITS_MIB with a 64 MiB default and validates the 16–1024 MiB range. It calculates chunk sizes from the budget and pool count, then deletes each logits tensor after top-k selection. Tests cover chunk sizes, invalid budgets and pool counts, environment configuration, and CUDA output across budgets. The guides describe the setting and its stated scope.

Estimated code review effort: 2 (Simple) | ~15 minutes

Change: Feature

Suggested reviewers: hiworldwzj, sufubao

Merge Risk: Low · previous review 89990

Temporary GPU memory can exceed the configured logits budget. Account for padding before relying on that limit.

Pre-merge checks: 4 · 1

Failed checks: 1 warning

Check name	Status	Explanation	Resolution
Docstring Coverage		Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documenta…	Write docstrings for the functions missing them to satisfy the coverage threshold.

Passed checks: 4 passed

Check name	Status	Explanation
Description Check		Check skipped - CodeRabbit’s high-level summary is enabled.
Title check		The title "perf(glm): bound prefill indexer logits workspace" matches the main change. The PR adds a configurable, bounded budget for the GLM-5.3 indexer's temporary FP32 logits workspace during prefi…
Linked Issues check		Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check		Check skipped because no linked issues were found for this pull request.

Full details: Title check

Explanation

The title "perf(glm): bound prefill indexer logits workspace" matches the main change. The PR adds a configurable, bounded budget for the GLM-5.3 indexer's temporary FP32 logits workspace during prefill, controlled by LIGHTLLM_GLM53_PREFILL_LOGITS_MIB (16–1024 MiB, default 64 MiB). The changeset adds get_prefill_logits_chunk_size, updates the indexer to use it, adds tests, and updates the English and Chinese FP8 KV docs. The title is short, single-sentence, uses a conventional-commit style, and names the primary change.

Full details: Docstring Coverage

Explanation

Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff with cyclomatic complexity of at least 2. Documentation-only edits and deletions within surviving functions are included; unchanged diff context and fully deleted functions are excluded. Analyzed 4 functions across 2 files. (2 skipped: 2 unsupported.)

Resolution

Write docstrings for the functions missing them to satisfy the coverage threshold.

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Commits

Reviewing files that changed from the base of the PR and between aab72d9 and 89990d8.

Files selected for processing: 4

• docs/CN/source/tutorial/fp8_kv_quantization.rst
• docs/EN/source/tutorial/fp8_kv_quantization.rst
• lightllm/models/glm5_next/indexer.py
• unit_tests/models/glm5_next/test_indexer_workspace.py

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Minor · Stability & Availability · Quick win

Size chunks for the allocated logits tensor.

When max_pools is 640, this calculation budgets 640 FP32 entries per query. The pinned DeepGEMM revision allocates 768 entries per query because it rounds the pool dimension up to 256; it also rounds the query count up to a query block. A large prefill can therefore allocate about 19.2 MiB of logits with a 16 MiB setting, or 76.8 MiB with the 64 MiB default. Use the padded dimensions to calculate the chunk size, and update the bound test to cover an unaligned pool count. (github.com)

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Review comment at @lightllm/models/glm5_next/indexer.py at line 19:
Update the chunk-size calculation so its budget accounts for DeepGEMM’s padded
pool dimension and rounded query-block allocation, keeping the allocated FP32
logits tensor within the configured memory budget. Update the bound test to
cover an unaligned pool count such as 640 and verify the padded allocation stays
within the limit.

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