[Test] Add coverage for rope/config helpers in transformers_utils/config.py - #50407
[Test] Add coverage for rope/config helpers in transformers_utils/config.py#50407xiaoyuyu6420 wants to merge 1 commit into
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…fig.py is_rope_parameters_nested, thinker_uses_mrope, and uses_xdrope_dim are pure helpers used by the model loading and RoPE setup paths (vllm/config/model.py, vllm/model_executor/models/transformers/utils.py) but previously had no direct test coverage. Add parametrized unit tests that exercise each branch of these helpers (empty dict, nested rope params, missing thinker_config, top-level vs nested xdrope_section, type-mismatched values). Tests use a lightweight FakeConfig stand-in so they run on CPU without downloading Hugging Face models. Co-authored-by: ZCode Assistant <noreply@z.ai> Signed-off-by: xiaoyuyu6420 <93528429+xiaoyuyu6420@users.noreply.github.com>
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Friendly nudge for review. These three helpers ( @hmellor — you've touched |
Purpose
Add unit tests for three pure config-helper functions in
vllm/transformers_utils/config.pythat are used by the model-loading, RoPE-setup, and speculative-decode paths but previously had no direct test coverage.is_rope_parameters_nested— 3 call sites:vllm/transformers_utils/config.py:517(decides whetherpatch_legacy_rope_typewalks nested or flat rope params)vllm/model_executor/models/transformers/utils.py:244(decides whether to re-wrap rope params for the torch.compile compatibility check)vllm/config/model.py:2208(max_model_len validation path)uses_xdrope_dim— called from the inference hot path:vllm/v1/worker/gpu_model_runner.py(12 sites),vllm/v1/spec_decode/llm_base_proposer.py(8 sites),vllm/v1/worker/gpu/mm/rope.py:153. Drives whether xdRoPE position tensors are allocated and how draft/target position dims align under spec decode.thinker_uses_mrope— called byuses_mrope(vllm/transformers_utils/config.py:559), which gates mrope handling.These helpers returning wrong values → incorrect model config → silent load/inference bugs (e.g. spec-decode position misalignment producing garbage output without raising). Zero tests meant no regression net.
What the tests cover
Parametrized cases for each branch of every helper:
is_rope_parameters_nested: empty dict (short-circuits toFalse), all keys inALLOWED_LAYER_TYPES, mixed keys, no valid keys, plus a sanity-check anchored to the live transformers allow-listthinker_uses_mrope: nothinker_config, thinker withouttext_config, thinker with/withoutmrope_sectionuses_xdrope_dim: no config, top-levelxdrope_section(list), nested inrope_scaling, type-mismatched values (None/str), and top-level-wins-over-nested precedenceTests use a lightweight
FakeConfigstand-in (duck-typedget_text_config) so they run on CPU without downloading Hugging Face models.Test Plan
Test Result
All tests run on Apple Silicon (M4) CPU backend — no GPU required.
Not Duplicating Existing Work
Checked before submitting:
gh pr list --state all --search "is_rope_parameters_nested test"— no PR adds tests for these helpers.gh pr list --state all --search "uses_xdrope_dim test"/"thinker_uses_mrope test"— none.tests/transformers_utils/test_config.pyonly coverstry_get_generation_config;test_utils.pyonly covers cloud-storage URL helpers. Neither file touches these helpers.AI Assistance Disclosure
This PR was prepared with AI assistance (ZCode agent). I (the human submitter) have reviewed every line of the test file, validated each assertion against the source in
vllm/transformers_utils/config.py, and run the tests end-to-end on my machine. The commit usesCo-authored-byperAGENTS.md.(Note:
is_interleavedwas originally included but was removed fromvllm/transformers_utils/config.pyby #49803 during the course of this work, so it is not covered here.)