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… dynamic inference - Add nemo_deploy/llm/inference/nemo_utils.py which vendors standalone NeMo utilities (MCoreTokenizerWrappper, ckpt path helpers, constants) with no dependency on the nemo package, and re-exports the complex NeMo types (GPTConfig, T5Config, io, set_modelopt_spec_if_exists_in_ckpt) under a single HAVE_NEMO guard. - Remove direct from nemo.* imports from inference_base.py and tron_utils.py; both files now import from the local nemo_utils module instead. - Fix AttributeError in create_mcore_engine: GPTInferenceWrapper was called with (model, inference_context) but the deployed Megatron-LM API expects (model, inference_wrapper_config, inference_context). Add InferenceWrapperConfig built from model.config attributes; MCoreEngine then internally creates a DynamicInferenceContext and switches to DynamicInferenceEngine. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Fix import ordering in test_inference_base.py (ruff I001) - Remove direct nemo imports from inference_base.py, nemo_utils.py, tron_utils.py - Add nemo_io.py with standalone load_context implementation - Remove HAVE_NEMO guard checks now that nemo is no longer a static dependency - Update tests to remove HAVE_NEMO patches and use types.SimpleNamespace
- Remove unused StaticInferenceContext import - Use inner model config for hidden_size/params_dtype instead of outer model - Add buffer_size_gb param to create_mcore_engine and MegatronLLMDeployable Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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