fix(EX): corex ivcore10 build flags + deploy pipeline + topk kernel cleanup

Real machine log (2d5232c dockerrizhi.txt) shows two AST call chain breaks:

1. EVERY layer EVERY token:
   _custom_ops.py:58 'ixformer.functions has no attribute vllm_moe_topk_softmax'
   -> FusedMoE falls to PyTorch loop (2304 calls/token)

2. EVERY GDN layer (4 layers):
   'NaN in prefill GatedDeltaNet layer N (frac=0.9998-1.0000)'
   -> _torch_chunk_gated_delta_rule produces all-NaN

Fixes:
- build.sh: --cuda-gpu-arch=ivcore10, -D__ILUVATAR__ flags from real log
- Dockerfile: add ex_engine build before patch_ops
- patch_ops.sh: deploy .so + python into vllm model dir
- ex_loader.py: search co-located .so paths
- patch_model.py: remove premature auto-apply
- factor_moe_topk_softmax.cu: remove dead parallel branch

Dockerfile

@@ -7,8 +7,17 @@ WORKDIR /workspace/
 COPY ./qwen3_6_scripts /workspace/qwen3_6_scripts
 COPY ./computility-run.yaml /workspace/computility-run.yaml
 
+# Copy EX Engine (algorithm factor replacement system)
+COPY ./ex_engine /workspace/ex_engine
+
+# Build EX Engine .so factors for BI-V100
+# These replace missing ixformer.functions ops (moe_topk_softmax, gdn_chunk_fwd)
+RUN chmod +x /workspace/ex_engine/build.sh && \
+    bash /workspace/ex_engine/build.sh --corex 2>&1 | tee /workspace/ex_build.log ; \
+    echo "[Dockerfile] ex_engine build exit code: $?"
+
 # Make patch script executable and run it
-# Using bash explicitly to avoid shell interpretation issues
+# patch_ops.sh also wires EX Engine into vllm
 RUN chmod +x /workspace/qwen3_6_scripts/patch_ops.sh && \
     bash /workspace/qwen3_6_scripts/patch_ops.sh 2>&1 | tee /workspace/patch_ops.log ; \
     echo "[Dockerfile] patch_ops exit code: $?"