fix(mimo): adapt training layer for MCore submodule bump#2979
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yaoyu-33 merged 1 commit intoNVIDIA-NeMo:mimo/phase5-checkpointing-rebuildfrom Mar 25, 2026
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yaoyu-33
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cross_entropy_loss_fusion=True — Is this required by the new MCore, or is it an independent improvement? It's only added in the checkpoint resume test's _make_language_config(), not in the other e2e tests (test_mimo_training_e2e.py, test_mimo_training_llava.py). Should those tests also get this flag for consistency? |
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Summary
module_output_ndimtoMultiModulePipelineCommunicatorfor correct 2D/3D tensor routing (vision encoders produce 2D[S, H], LLM produces 3D[S, B, H])MIMO_LANGUAGE_MODULE_KEYinstead of removedrole.language_module_nameattribute inmimo_step.pyandtrain_mimo.pylanguage_module_keyassertion frompretrain_mimo.py(removed fromMimoModelConfig)language_module_key/language_module_namereferences in test mocksDepends on: #2978 (phase 4 model layer fixes)
Test plan
torchrun --nproc_per_node=8 tests/e2e/mimo/test_mimo_training_e2e.py)🤖 Generated with Claude Code