mirror of
https://github.com/deepseek-ai/DeepInfer.git
synced 2026-10-28 23:07:09 +08:00
- Decode runs eagerly and compiles per-layer regions (attention half, MoE) with stage boundaries (neuron_ops/regions.py, DEEPINFER_NEURON_GRAPH_MODE=regions); layer KV views are sliced from the roots inside the graph (_LazyKVCache). - vllm-neuron#71 NKI kernels (Apache-2.0, vendored under neuron_ops/nki/ with attribution), called via torch_neuronx.nki_hop.wrap_nki: blockquant (fp8/fp4 GEMMs incl. grouped einsum, MoE and shared expert on bf16 activations), sparse_attn / index_score / compress_pool (nki_attention.py), hc_mixes / hc_expand / hc_collapse / hc_attn_out / rmsnorm / swiglu (nki_hc.py, nki_norm.py). - Compile-safe formulations: row-major scales, no dtype bitcasts of graph inputs (uint8 weight tensors), whole-row KV stores, byte assembly in int32 narrowed once at the store, arithmetic int16 scale packing, plain fma/rsqrt and bf16 F.linear under compile; default backend deepinfer_neuron (torch fp8 carried as uint8, avoiding NCC_EOCP001 with the kernels' OCP fp8). - Host: tiny model 9/9 vs golden on all prompts; device: kernel tests pass (13 attention, 88 hc/norm); region decode graph compiles except the attention projection stage (being reduced). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> |
||
|---|---|---|
| .. | ||
| _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 | ||