d86b39d1aee32f73701e1fee05daf814c3792e5c
corex_moe.py: - Tier 0: ix_bridge.fused_moe_forward (all 7 ixformer::infer steps in C++) - Tier 1: ix_bridge step-by-step (topk→gen_idx→expand→gemm→silu→gemm→combine) - Tier 2: Python topk + ixf_F.silu_and_mul + torch.matmul expert loop corex_gdn.py: - Gate clamping [-5, 0] (decay only) from real machine logs - State clamping ±100 prevents inf propagation corex_fa2.py: - Tier 0: ix_bridge C++ paged_attention/flash_attn - Tier 1: ixformer.contrib.vllm_flash_attn Python - Tier 2: ixf_F.vllm_single_query_cached_kv_attention (V1) All modules now use: ix_full_bridge.cpp → ixformer::infer → libixattn.so Matches comp 168 actual dispatch chain from docker log.
project_6
Description
Languages
C++
41.8%
Cuda
31.6%
Python
22.2%
C
2.1%
CMake
1.1%
Other
1.1%