[TRTLLM-14880][feat] qualify Qwen3 dense for MX - #17142
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Signed-off-by: Chien-Chun Hung <2679986+chienchunhung@users.noreply.github.com>
Signed-off-by: Michal Guzek <mguzek@nvidia.com>
Signed-off-by: Michal Guzek <mguzek@nvidia.com>
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Inline comments:
In `@tensorrt_llm/_torch/weight_sharing/__init__.py`:
- Line 50: Sort the complete __all__ list in the weight-sharing module according
to the configured isort-style ordering, including
QWEN3_DENSE_POST_TRANSFORM_LAYOUT_ABI_V1, and verify the RUF022 warning is
resolved by rerunning Ruff.
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docs/source/features/model-express.mdtensorrt_llm/_torch/pyexecutor/model_loader.pytensorrt_llm/_torch/weight_sharing/__init__.pytensorrt_llm/_torch/weight_sharing/post_transform_profiles.pytests/integration/defs/model_express/test_model_express.pytests/integration/test_lists/test-db/l0_model_express.ymltests/unittest/_torch/executor/test_model_loader_mx.pytests/unittest/_torch/weight_sharing/test_source_identity.py
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- tests/integration/test_lists/test-db/l0_model_express.yml
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- docs/source/features/model-express.md
- tests/unittest/_torch/weight_sharing/test_source_identity.py
- tensorrt_llm/_torch/weight_sharing/post_transform_profiles.py
- tests/unittest/_torch/executor/test_model_loader_mx.py
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Summary
mainafter [TRTLLM-14879][feat] qualify Qwen2 dense for MX #16974 and [TRTLLM-14727][test] Create MX donor-receiver qualification test harness #17222 merged, so this PR now contains only its Qwen3 and shared CI-coverage delta.Qualified Scope
Qwen3ForCausalLM/qwen3The dense root does not consume MoE-only backend or partition settings, so the profile does not constrain them;
SourceIdentitystill requires donor and receiver configurations to match. Unsupported combinations fail closed, including FP16, quantization, alternate attention backends, TP greater than 2, PP/CP expansion, LoRA, sparse attention, attention data parallelism, multi-node execution, tied embeddings, YaRN, disabling the default fused QK-norm/RoPE path, and speculative decoding.Validation
DGX_H100-2_GPUs-PyTorch-ModelExpress-1and TP2 cases toDGX_H100-4_GPUs-PyTorch-ModelExpress-OnDemand-1.Dev Engineer Review
QWEN3_DENSE_POST_TRANSFORM_LAYOUT_ABI_V1.QA Engineer Review
Added or modified test functions
tests/unittest/_torch/executor/test_model_loader_mx.pytest_qwen3_dense_profile_qualifies_full_staged_lifecycle.test_qwen3_dense_profile_qualifies_tp2_rank_lifecycle.test_bf16_dense_profiles_reject_unqualified_runtime_variants.test_bf16_dense_profiles_reject_wrong_realized_rope_fusion.tests/unittest/_torch/weight_sharing/test_source_identity.pytest_from_model_config_binds_transform_abito include the Qwen3 ABI.tests/integration/defs/model_express/test_model_express.pytest_mx_donor_receiverwith Qwen2 and Qwen3 TP1/TP2 variants.Test-list coverage
tests/integration/test_lists/test-db/l0_model_express.ymlcovers:test_mx_donor_receiver[qwen2-bf16-tp1]test_mx_donor_receiver[qwen3-bf16-tp1]test_mx_donor_receiver[qwen2-bf16-tp2]test_mx_donor_receiver[qwen3-bf16-tp2]