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_dense_attention matches gathered_attn_idx to ~1 bf16 ulp (same error vs an fp64 reference). It only applies to tables <= DEEPINFER_NEURON_DENSE_ATTN_MAX_KV rows, which a prefill chunk's whole-pool table exceeds; bounding that table (DEEPINFER_NEURON_PREFILL_TABLE_BOUNDS) went through the compacting gather and doubled TTFT, so it is off. 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 | ||