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- DFlash forward_drafts per layer and update_main_cache (projection, then each layer's cache write) run as region graphs: eagerly the fp8 cast of the projection norm does not compile. - neuronx-cc rejects the sparse decode attention at 6 rows (a DSpark step with 5 drafts; ISA validation 'same_element_count_t2d'), 4 and 8 rows compile: multi-row decode steps pad to a power of two with empty rows. - bench_neuron.py --nextn: DSpark drafts, reports tokens per decode step. - Tiny checkpoint on device, cp=2, free-running greedy with drafts: nextn=3, 5, 7 all 9/9 golden tokens (short), nextn=5 long 9/9. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> |
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| .. | ||
| _C | ||
| distributed | ||
| engine | ||
| entrypoints | ||
| hugging_face | ||
| model_executor | ||
| neuron_ops | ||
| npu_ops | ||
| structure_output | ||
| ve | ||
| worker | ||
| __init__.py | ||
| attrdict.py | ||
| config.py | ||
| environ.py | ||
| load_class.py | ||
| logger.py | ||
| model_config_loader.py | ||
| multimodal_tokens.py | ||
| platform.py | ||
| py.typed | ||
| sampling_params.py | ||
| sequence.py | ||
| shared_memory.py | ||
| testing.py | ||
| timer.py | ||
| utils.py | ||