[None][fix] Use the single custom-tokenizer alias table in llm_args by moraxu · Pull Request #18680 · NVIDIA/TensorRT-LLM

moraxu · 2026-09-03T20:18:29Z

Description

tensorrt_llm/llmapi/llm_args.py kept its own copy of TOKENIZER_ALIASES next to the canonical table in tensorrt_llm/tokenizer, where built-in custom tokenizers register their aliases. The copy drifted: it lacked mistral_common, so LlmArgs(custom_tokenizer="mistral_common") failed with not enough values to unpack (the unresolved alias was split as if it were a dotted import path), while the identical alias loaded fine through load_custom_tokenizer. The same failure is reachable from trtllm-serve --custom_tokenizer mistral_common, which feeds this field. tensorrt_llm/bench/utils/data.py already imports the table from tensorrt_llm.tokenizer; this makes llm_args do the same.

Fix: import the canonical table instead of duplicating it. llm_args.TOKENIZER_ALIASES stays available as a re-export for existing importers, so no call site changes.

Test Coverage

New tests/unittest/llmapi/test_custom_tokenizer_aliases.py (CPU-only, registered in tests/integration/test_lists/test-db/l0_cpu.yml so pre-merge CI runs it):

the two TOKENIZER_ALIASES names refer to one object;
every registered alias names an importable TokenizerBase subclass with from_pretrained;
TorchLlmArgs(custom_tokenizer=<alias>) resolves every registered alias to its class and calls that class's from_pretrained (stubbed, no checkpoint needed) — this case fails on main today for mistral_common;
an unknown identifier still fails with the existing Failed to load custom tokenizer error.

PR Checklist

Please review the following before submitting your PR:

PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
If PR introduces API changes, an appropriate PR label is added - either api-compatible or api-breaking. For api-breaking, include BREAKING in the PR title.
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
Update tava architecture diagram if there is a significant design change in PR.
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.

Dev Engineer Review

llm_args.py imports the canonical TOKENIZER_ALIASES from tensorrt_llm.tokenizer.
llm_args.TOKENIZER_ALIASES remains available as a compatibility re-export.
The duplicate alias table is removed.
Aliases such as mistral_common now resolve through LlmArgs and trtllm-serve.
Unknown identifier failure behavior remains unchanged.
The CPU test-list entry uses the expected format and targets the intended test path.
No duplicate entry or unintended configuration scope change is present.

QA Engineer Review

Added tests in tests/unittest/llmapi/test_custom_tokenizer_aliases.py.
Tests cover:
- Identity between both TOKENIZER_ALIASES names.
- Resolution of registered aliases to importable TokenizerBase subclasses.
- TorchLlmArgs loading for every alias through from_pretrained.
- Rejection of unknown identifiers.
The test file is registered in tests/integration/test_lists/test-db/l0_cpu.yml.
Verdict: sufficient.

`tensorrt_llm/llmapi/llm_args.py` kept its own copy of `TOKENIZER_ALIASES` next to the canonical table in `tensorrt_llm/tokenizer`, where built-in custom tokenizers register their aliases. The copy had drifted: it lacked `mistral_common`, so `LlmArgs(custom_tokenizer="mistral_common")` failed with "not enough values to unpack" (the unresolved alias was split as if it were a dotted import path) while the same alias loaded fine through `load_custom_tokenizer`. Import the canonical table instead of duplicating it, so every alias that `tensorrt_llm.tokenizer` knows also resolves through `LlmArgs`. The `llm_args.TOKENIZER_ALIASES` name is kept as a re-export for existing importers. Add a unit test that pins the two names to one table, checks every registered alias names an importable `TokenizerBase` subclass, constructs `TorchLlmArgs` with each alias (with the class's `from_pretrained` stubbed) and asserts the alias reaches that loader, and checks that an unknown identifier still fails with the existing error. The test is registered in `tests/integration/test_lists/test-db/l0_cpu.yml` so pre-merge CI runs it. Signed-off-by: Michal Guzek <mguzek@nvidia.com>

coderabbitai · 2026-09-03T20:24:13Z

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tests/unittest/llmapi/test_custom_tokenizer_aliases.py

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tests/unittest/llmapi/test_custom_tokenizer_aliases.py

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Walkthrough

llm_args.py now imports and re-exports the canonical tokenizer alias table. New CPU tests validate alias targets, loader behavior, object identity, and unknown-alias rejection.

Changes

Tokenizer alias integration

Layer / File(s)	Summary
Canonical alias wiring `tensorrt_llm/llmapi/llm_args.py`	`TOKENIZER_ALIASES` is imported from `tensorrt_llm.tokenizer`. The local alias dictionary is removed.
Alias resolution validation `tests/unittest/llmapi/test_custom_tokenizer_aliases.py`, `tests/integration/test_lists/test-db/l0_cpu.yml`	CPU tests validate registered alias classes, loader calls, canonical object identity, and rejection of unknown aliases. The test is added to the CPU pre-merge suite.

Estimated code review effort: 2 (Simple) | ~10 minutes

Merge Risk: ⚪ Minimal · up to 1e4df

This change routes LlmArgs tokenizer aliases through the canonical table while retaining the existing re-export, addressing custom tokenizer alias resolution without an identified merge-blocking risk.

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly identifies the fix: llm_args now uses the single custom-tokenizer alias table. It follows the required [None][fix] format and is concise.
Description check	✅ Passed	The description explains the issue, solution, affected behavior, and test coverage. It includes the required sections and confirms the PR checklist review.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 5 functions across 2 files.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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Inline comments:
In `@tests/unittest/llmapi/test_custom_tokenizer_aliases.py`:
- Line 42: Add return annotations to the new functions: annotate _resolve with
type[TokenizerBase], and annotate each of the four test functions with None,
following the project’s function annotation convention.

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📒 Files selected for processing (3)

tensorrt_llm/llmapi/llm_args.py
tests/integration/test_lists/test-db/l0_cpu.yml
tests/unittest/llmapi/test_custom_tokenizer_aliases.py

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Requested in review: every function carries a return annotation, so the helper returns `type[TokenizerBase]` and the test functions `None`. Signed-off-by: Michal Guzek <mguzek@nvidia.com>

Short docstrings for the helper and the two test functions that had none. Signed-off-by: Michal Guzek <mguzek@nvidia.com>

moraxu · 2026-09-03T21:47:16Z

/bot run --disable-fail-fast

tensorrt-cicd · 2026-09-03T21:54:50Z

PR_Github #71342 [ run ] triggered by Bot. Commit: e68d8ee Link to invocation

Signed-off-by: Michal Guzek <mguzek@nvidia.com>

tensorrt-cicd · 2026-09-04T00:55:32Z

PR_Github #71342 [ run ] completed with state FAILURE. Commit: e68d8ee
/LLM/main/L0_MergeRequest_PR pipeline #58466 completed with status: 'FAILURE'

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moraxu · 2026-09-04T03:13:06Z

/bot run

tensorrt-cicd · 2026-09-04T03:21:06Z

PR_Github #71415 [ run ] triggered by Bot. Commit: 1e4dfbd Link to invocation

moraxu requested review from a team as code owners September 3, 2026 20:18

moraxu requested review from JunyiXu-nv, asfiyab-nvidia, brnguyen2, jieli-matrix, mlefeb01, schetlur-nv and yuanjingx87 September 3, 2026 20:18

github-actions Bot assigned moraxu Sep 3, 2026

coderabbitai Bot reviewed Sep 3, 2026

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Comment thread tests/unittest/llmapi/test_custom_tokenizer_aliases.py Outdated

moraxu added 2 commits September 3, 2026 13:42

Annotate the return types of the alias tests

fff728d

Requested in review: every function carries a return annotation, so the helper returns `type[TokenizerBase]` and the test functions `None`. Signed-off-by: Michal Guzek <mguzek@nvidia.com>

Document the alias test helpers

e68d8ee

Short docstrings for the helper and the two test functions that had none. Signed-off-by: Michal Guzek <mguzek@nvidia.com>

Use single backticks for code names in the alias test docstrings

1e4dfbd

Signed-off-by: Michal Guzek <mguzek@nvidia.com>

BowenFu approved these changes Sep 4, 2026

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[None][fix] Use the single custom-tokenizer alias table in llm_args - #18680

[None][fix] Use the single custom-tokenizer alias table in llm_args#18680
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