Files
project_6/enginex/__init__.py
EngineX b4e055e9a9 feat(enginex): CCCL-style algorithm factor replacement engine — 18 operator dispatch system
EngineX replaces the missing corex_gdn/corex_moe/corex_fa2 operator chain
that Sub168 has but our BI-V100 image lacks.

Architecture (mirrors CCCL dispatch/tuning/kernel three-layer system):
  Registry (policy_selector) → three-tier dispatch:
    Tier 1: Native .so via dlopen (libcorex_gdn.so, libixattn.so)
    Tier 2: ixformer Python ops (vendor-provided)
    Tier 3: PyTorch fallback (always available)

Critical fixes vs comp 168 docker log:
  - moe_topk_softmax: replacement for missing ixformer op
  - gdn_prefill: NaN-stable chunked impl (chunk_size=16)
  - gdn_decode: state clamp prevents NaN accumulation

18 operators, all tests pass.
2026-08-10 02:40:25 +00:00

17 lines
565 B
Python

"""
EngineX — Algorithm Factor Replacement Engine for BI-V100
Architecture modeled after CCCL's dispatch/tuning/kernel three-layer system:
CCCL: tuning_*.cuh → dispatch_*.cuh → kernel_*.cuh
EngineX: tuning/*.py → dispatch/*.py → ops/*.py
The engine dlopen()s native .so when available, falls back to PyTorch/ixformer.
This is NOT an adapter — it's a full algorithm factor replacement layer.
"""
__version__ = "0.1.0"
from enginex.dispatch.registry import OperatorRegistry, get_registry
__all__ = ["OperatorRegistry", "get_registry"]