build: add MoE topk kernel precompile to patch_ops.sh + Dockerfile pipeline
patch_ops.sh: step 7 precompiles moe_topk_softmax_v3.cu during Docker build corex_moe.py: expanded .so/.cu search paths for both pre-compiled and JIT scenarios Docker build flow: 1. COPY ex_engine/ → /workspace/ex_engine/ 2. patch_ops.sh deploys corex_moe.py + corex_gdn.py to vllm models dir 3. patch_ops.sh runs precompile_moe_topk.py → .so cached 4. At runtime, corex_moe.py loads cached .so (no JIT delay) Competition submission ready.
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@@ -241,7 +241,21 @@ if [ -d "$EX_ENGINE_SRC/python" ]; then
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echo "[patch_ops] EX Engine Python package deployed to $EX_PY_DST"
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fi
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echo "[patch_ops] DONE — EX Engine + SM70 GDN kernel + serving layer deployed"
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# 7. Precompile MoE topk_softmax CUDA kernel (.cu → .so)
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# This replaces the missing ixf_F.vllm_moe_topk_softmax with our own CUDA kernel
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MOE_TOPK_CU="/workspace/ex_engine/csrc/moe_topk_softmax_v3.cu"
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if [ -f "$MOE_TOPK_CU" ]; then
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echo "[patch_ops] Precompiling moe_topk_softmax_v3.cu ..."
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python3 /workspace/ex_engine/precompile_moe_topk.py 2>&1 || \
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echo "[patch_ops] WARNING: MoE topk precompile failed — will JIT at runtime"
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# Also deploy .cu source to vllm for JIT fallback
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cp "$MOE_TOPK_CU" "$VLLM/model_executor/models/" 2>/dev/null || true
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if [ -n "$VLLM2" ]; then
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cp "$MOE_TOPK_CU" "$VLLM2/model_executor/models/" 2>/dev/null || true
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fi
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fi
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echo "[patch_ops] DONE — EX Engine + SM70 GDN kernel + MoE topk kernel + serving layer deployed"
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echo "[patch_ops] Deployed: qwen3_5.py, flash_qla_sm70, ex_engine factors, paged_attn.py, mamba_cache.py, sequence.py, scheduler.py, xformers patches, serving layer"
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echo "[patch_ops] EX factors replace: vllm_moe_topk_softmax (2304 calls/token), gdn_chunk_fwd (NaN fix)"
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echo "[patch_ops] NOT deployed (base image native): model_runner.py, _custom_ops.py, sampler.py, logits_processor.py, arg_utils.py"
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