revert: undo 2 premature pushes (ee516bd2, 9ea0a1d4) — code needs review first

Dockerfile

@@ -4,8 +4,12 @@ WORKDIR /workspace/
 # Copy all our engine patches
 COPY ./qwen3_6_scripts /workspace/qwen3_6_scripts
 COPY ./computility-run.yaml /workspace/computility-run.yaml
-# Copy entire ex_engine — python dispatch, csrc, build scripts, headers
+# Copy ex_engine source for MoE bridge compilation
-COPY ./ex_engine /workspace/ex_engine
+COPY ./ex_engine/csrc/moe_ops_impl.cu /workspace/qwen3_6_scripts/ex_engine_src/csrc/moe_ops_impl.cu
+COPY ./ex_engine/csrc/ix_full_bridge_v2.cpp /workspace/qwen3_6_scripts/ex_engine_src/csrc/ix_full_bridge_v2.cpp
+COPY ./ex_engine/build_moe_bridge.sh /workspace/qwen3_6_scripts/ex_engine_src/build_moe_bridge.sh
+COPY ./ex_engine/python/moe_dispatch.py /workspace/qwen3_6_scripts/ex_engine_src/python/moe_dispatch.py
+COPY ./ex_engine/python/patch_moe_hot_path.py /workspace/qwen3_6_scripts/ex_engine_src/python/patch_moe_hot_path.py
 # Make patch script executable and run it
 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 ; \

EX_ENGINE_INFRA_AUDIT.md

@@ -1,172 +0,0 @@
-# EX_ENGINE 基建盘点
-
-日期: 2026-08-17
-基于: commit 512f384a (CUTLASS Cu10 grouped GEMM 真机验证) + 后续 revert
-
----
-
-## 一、Docker容器里实际运行的状态
-
-### 进了Docker且工作正常的 (prebuilt .so)
-
-| .so 文件 | qwen3_5.py flag | 状态 |
-|---|---|---|
-| corex_gdn_causal_conv.so | _USE_COREX_GDN_CAUSAL_CONV | ✓ 工作 |
-| corex_gdn_gated_norm.so | _USE_COREX_GDN_GATED_NORM | ✓ 工作 |
-| corex_gdn_beta_decay.so | _USE_COREX_GDN_BETA_DECAY | ✓ 工作 |
-| corex_gdn_qk_map.so | _USE_COREX_GDN_QK_MAP | ✓ 工作 |
-| corex_gdn_packed_decode.so | _USE_COREX_GDN_PACKED_DECODE | ✓ 工作 |
-| corex_gdn_chunk_recurrent.so | _HAS_COREX_GDN_CHUNK | ✓ 工作 |
-| corex_moe_topk_softmax.so | _USE_COREX_MOE_TOPK_SOFTMAX | ✓ 工作 |
-| corex_moe_direct_routed.so | _USE_COREX_MOE_DIRECT_ROUTED | ✓ 工作 |
-| corex_moe_weight_gather.so | _USE_COREX_MOE_WEIGHT_GATHER | ✓ 工作 |
-| corex_moe_exact_reduce.so | _USE_COREX_MOE_EXACT_REDUCE | ✓ 工作 |
-| corex_moe_index_combine.so | _USE_COREX_MOE_INDEX_COMBINE | ✓ 工作 |
-| corex_attn_head_rms_norm.so | _USE_COREX_ATTN_HEAD_RMS_NORM | ✓ 工作 |
-| corex_block_major_kv_transfer.so | (block_major_kv_cache.py用) | ✓ 工作 |
-| corex_paged_kv_gather.so | (paged_attn.py用) | ✓ 工作 |
-| corex_fused_paged_prefill.so | (corex_fa2用) | ✓ 工作 |
-| xllm_moe.so | _USE_XLLM_MOE | ✓ 工作 |
-| xllm_activation.so | (patch_vllm_ops用) | ? 见下 |
-| xllm_norm.so | (patch_vllm_ops用) | ? 见下 |
-| xllm_rope.so | (patch_vllm_ops用) | ? 见下 |
-| xllm_cache.so | (patch_vllm_ops用) | ? 见下 |
-| ix_full_bridge.so | (ix_ops.py用) | ? 见下 |
-
-### 进了Docker但断裂的
-
-| 文件 | 问题 |
-|---|---|
-| ix_full_bridge.so (v1) | 已cp到$VLLM_ROOT/, 但python wrapper ix_ops.py没部署 |
-| xllm_activation/norm/rope/cache.so | 已cp到$VLLM_ROOT/, 但patch_vllm_ops.py没部署，没hook |
-| ix_fused_moe.py | 已cp到models/, 但找不到ix_moe_bridge.so → _HAS_IX_FUSED_MOE=False |
-
-### 没进Docker的关键文件
-
-| 文件 | 功能 | 行数 |
-|---|---|---|
-| ex_engine/python/ix_ops.py | ix_full_bridge.so的Python wrapper | 343 |
-| ex_engine/python/ix_ops_dispatch.py | 统一op dispatch (bridge→ixformer→raise) | 407 |
-| ex_engine/python/patch_vllm_ops.py | monkey-patch vllm的silu/rms_norm/rope/cache | 201 |
-| ex_engine/python/corex_moe.py | corex MoE pipeline wrapper | 237 |
-| ex_engine/python/corex_gdn.py | corex GDN ops wrapper | 256 |
-| ex_engine/python/corex_fa2.py | corex FlashAttn dispatch | 279 |
-| ex_engine/python/corex_fa2_dispatch.py | FA2 3-mode dispatch | 231 |
-| ex_engine/python/fused_moe_ilu.py | 7-step MoE pipeline (Python) | 205 |
-| ex_engine/python/gemm_dispatch.py | GEMM dispatch (cutlass/cuinfer/torch) | 180 |
-| ex_engine/csrc/gemm_grouped.cu | ✓ 真机验证的CUTLASS grouped GEMM | 188 |
-| ex_engine/csrc/gemm_grouped_bind.cpp | pybind11 binding | 182 |
-| ex_engine/build_gemm_grouped.sh | 编译脚本 | — |
-| ex_engine/xllm_kernels/cuda/corex_batched_gemm_kernel.cu | CUTLASS batched GEMM | 67 |
-| ex_engine/xllm_kernels/cuda/bindings/corex_batched_gemm_bind.cpp | binding | 129 |
-
----
-
-## 二、两个路径断裂的根因
-
-### 断裂1: patch_ops.sh 找不到 ex_engine/python/
-
-patch_ops.sh 第204行:
-```bash
-EX_ENGINE_DIR="$(cd "$(dirname "$0")/../ex_engine" 2>/dev/null && pwd || echo "")"
-```
-
-Docker容器里的目录结构:
-```
-/workspace/
-├── qwen3_6_scripts/          ← patch_ops.sh 在这里
-│   ├── patch_ops.sh
-│   ├── ex_engine_src/        ← Dockerfile COPY进来的（只有5个文件）
-│   │   ├── csrc/moe_ops_impl.cu
-│   │   ├── csrc/ix_full_bridge_v2.cpp
-│   │   ├── build_moe_bridge.sh
-│   │   └── python/moe_dispatch.py, patch_moe_hot_path.py
-│   └── prebuilt/corex-3.2.3-ivcore10/*.so
-└── (没有 ex_engine/ 目录)
-```
-
-`$(dirname "$0")/../ex_engine` = `/workspace/ex_engine` → **不存在**
-
-结果: ix_ops.py, patch_vllm_ops.py, ix_startup_patch.py 全部没部署。
-xllm_activation/norm/rope/cache.so 虽然被cp到$VLLM_ROOT/但没有Python层调用它们。
-
-### 断裂2: build_moe_bridge.sh 内部路径错误
-
-build_moe_bridge.sh 第18-19行:
-```bash
-MOE_CU="${SCRIPT_DIR}/ex_engine/csrc/moe_ops_impl.cu"
-BRIDGE_CPP="${SCRIPT_DIR}/ex_engine/csrc/ix_full_bridge_v2.cpp"
-```
-
-SCRIPT_DIR = `/workspace/qwen3_6_scripts/ex_engine_src`
-实际路径 = `${SCRIPT_DIR}/csrc/moe_ops_impl.cu`（少了 `ex_engine/` 一层）
-
-结果: ix_moe_bridge.so 编译失败 → _HAS_IX_FUSED_MOE=False → 7-step fused MoE pipeline 未启用
-
----
-
-## 三、ex_engine/ 文件去重审计
-
-### 重复实现的功能（同一功能多个文件）
-
-**MoE topk softmax (5个文件做同一件事)**:
-1. `xllm_kernels/cuda/moe/moe_topk_softmax_kernels.cuh` (866行) ← xllm上游原版
-2. `csrc/moe/moe_topk_softmax_kernels.cuh` (855行) ← 几乎相同的拷贝
-3. `csrc/factor_moe_topk_softmax.cu` (260行) ← 独立提取版
-4. `csrc/moe/moe_topk_softmax_ext.cu` (55行) ← 另一个入口
-5. `csrc/moe_topk_softmax_v3.cu` (143行) ← 又一个版本
-6. prebuilt `corex_moe_topk_softmax.so` ← 已编译可用
-7. prebuilt `xllm_moe.so` ← 也包含此功能
-
-**MoE combine (3个文件)**:
-1. `xllm_kernels/cuda/moe/moe_combine.cu` (105行) ← xllm上游原版
-2. files_5 的 `factor_moe_combine.cu` ← 重写
-3. prebuilt `xllm_moe.so` ← 已编译可用
-
-**MoE compute_index (2个文件)**:
-1. `xllm_kernels/cuda/moe/moe_compute_index.cu` (156行) ← xllm上游原版
-2. files_5 的 `factor_moe_compute_index.cu` ← 重写
-
-**MoE Python pipeline (3个文件)**:
-1. `python/fused_moe_ilu.py` (205行)
-2. `python/moe_dispatch.py` (171行)
-3. files_5 的 `moe_pipeline.py` ← 重写
-
-**Attention dispatch (2个文件)**:
-1. `python/corex_fa2_dispatch.py` (231行)
-2. files_5 的 `attn_dispatch.py` ← 重写
-
-**C++ bridge (3个文件)**:
-1. `csrc/ix_full_bridge.cpp` (90行) ← v1, 对应prebuilt ix_full_bridge.so
-2. `csrc/ix_full_bridge_v2.cpp` (387行) ← v2, 没编译
-3. `csrc/ix_moe_bridge.cpp` (261行) ← MoE专用, 没编译
-
-**ILU层 fused_moe (2处)**:
-1. `xllm_layers/ilu/fused_moe.cpp` (797行) ← xllm上游
-2. `csrc/ilu_layer_fused_moe.cpp` (797行) ← 拷贝
-
-### 上游cat但未修改的文件
-
-| 目录 | 文件数 | 来源 |
-|---|---|---|
-| xllm_kernels/ilu/*.cpp | 7 | xllm上游ILU kernel接口 |
-| xllm_layers/ilu/*.cpp | 2 | xllm上游ILU layer |
-| xllm_layers/common/*.cpp | 5 | xllm上游common layer |
-| xllm_layers/npu_torch/*.cpp | 10 | xllm上游NPU实现（不适用BI-V100） |
-| xllm_layers/mlu/*.cpp | 4 | xllm上游MLU实现（不适用BI-V100） |
-| xllm_models/*.h | 6 | xllm上游model定义 |
-| moe/*.py | 14 | ds_vllm上游MoE模块 |
-| fla_kernels/ | 6 | FLA库GDN kernel（Triton，BI-V100不能跑） |
-
----
-
-## 四、真机验证状态
-
-| 组件 | commit | 真机结果 |
-|---|---|---|
-| gemm_grouped.cu (CUTLASS Cu10 TN) | cdcf1150 | ✓ err=0.000015 PASS, 1.97x vs torch.mm |
-| corex_batched_gemm_kernel.cu | (sub 655用过) | ✓ decode单token 2.462ms |
-| 16个prebuilt .so | (sub 694在用) | ✓ 正常加载 |
-| ix_moe_bridge.so | 未编译 | ✗ 路径断裂 |
-| ix_full_bridge_v2.so | 未编译 | ✗ 未进Docker |
-| xllm_moe.so 的 fused_topk | (sub 694在用) | ✓ 正常工作 |

build_moe_bridge.sh

@@ -18,26 +18,17 @@ echo "[moe_bridge] Building ix_moe_bridge.so"
 echo "[moe_bridge] Script dir: ${SCRIPT_DIR}"
 
 # --- Locate sources ---
-# Support both layouts:
+MOE_CU="${SCRIPT_DIR}/ex_engine/csrc/moe_ops_impl.cu"
-#   1. SCRIPT_DIR=/workspace/ex_engine → csrc/ is direct child
+BRIDGE_CPP="${SCRIPT_DIR}/ex_engine/csrc/ix_full_bridge_v2.cpp"
-#   2. SCRIPT_DIR=/workspace/qwen3_6_scripts/ex_engine_src → csrc/ is direct child
-MOE_CU=""
-BRIDGE_CPP=""
-for base in "${SCRIPT_DIR}" "${SCRIPT_DIR}/ex_engine"; do
-    [[ -f "${base}/csrc/moe_ops_impl.cu" ]] && MOE_CU="${base}/csrc/moe_ops_impl.cu"
-    [[ -f "${base}/csrc/ix_full_bridge_v2.cpp" ]] && BRIDGE_CPP="${base}/csrc/ix_full_bridge_v2.cpp"
-done
 
-if [[ -z "$MOE_CU" ]]; then
+if [[ ! -f "$MOE_CU" ]]; then
-    echo "[moe_bridge] ERROR: moe_ops_impl.cu not found under ${SCRIPT_DIR}" >&2
+    echo "[moe_bridge] ERROR: $MOE_CU not found" >&2
     exit 1
 fi
-if [[ -z "$BRIDGE_CPP" ]]; then
+if [[ ! -f "$BRIDGE_CPP" ]]; then
-    echo "[moe_bridge] ERROR: ix_full_bridge_v2.cpp not found under ${SCRIPT_DIR}" >&2
+    echo "[moe_bridge] ERROR: $BRIDGE_CPP not found" >&2
     exit 1
 fi
-echo "[moe_bridge] MOE_CU: ${MOE_CU}"
-echo "[moe_bridge] BRIDGE_CPP: ${BRIDGE_CPP}"
 
 # --- Locate libraries ---
 COREX_ROOT="${COREX_ROOT:-/usr/local/corex}"
@@ -75,28 +66,14 @@ echo "[moe_bridge] ixformer .so count: ${#IX_SO_FILES[@]}"
 # --- Build via torch.utils.cpp_extension ---
 mkdir -p "${SCRIPT_DIR}/prebuilt"
 
-export SCRIPT_DIR VLLM_ROOT
 python3 << 'PYEOF'
 import os, sys, glob, shutil
 
 script_dir = os.environ.get("SCRIPT_DIR", ".")
 vllm_root = os.environ.get("VLLM_ROOT", "")
 
-# Find source files — try direct csrc/ first, then ex_engine/csrc/
+moe_cu = os.path.join(script_dir, "ex_engine", "csrc", "moe_ops_impl.cu")
-moe_cu = ""
+bridge_cpp = os.path.join(script_dir, "ex_engine", "csrc", "ix_full_bridge_v2.cpp")
-bridge_cpp = ""
-for base in [script_dir, os.path.join(script_dir, "ex_engine")]:
-    candidate_cu = os.path.join(base, "csrc", "moe_ops_impl.cu")
-    candidate_cpp = os.path.join(base, "csrc", "ix_full_bridge_v2.cpp")
-    if os.path.isfile(candidate_cu):
-        moe_cu = candidate_cu
-    if os.path.isfile(candidate_cpp):
-        bridge_cpp = candidate_cpp
-if not moe_cu or not bridge_cpp:
-    print(f"[moe_bridge] ERROR: sources not found under {script_dir}")
-    sys.exit(1)
-print(f"[moe_bridge] MOE_CU: {moe_cu}")
-print(f"[moe_bridge] BRIDGE_CPP: {bridge_cpp}")
 
 # Collect linker flags
 extra_ldflags = []

ex_engine/build_moe_bridge.sh

@@ -1,179 +0,0 @@
-#!/usr/bin/env bash
-# build_moe_bridge.sh — Compile MoE ops + bridge into ix_moe_bridge.so
-#
-# Links against:
-#   libcuinfer.so   (cuinferCustomGemm, cuinferTopK — confirmed in symbol dump)
-#   libixformer.so  (silu_and_mul, rms_norm, flash_attn, etc — confirmed)
-#
-# Real device compiler: corex clang/16, NOT nvcc
-# Reference: ex_engine/build_ix_bridge.sh
-
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-REPO_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)"
-VLLM_ROOT="${1:-}"
-
-echo "[moe_bridge] Building ix_moe_bridge.so"
-echo "[moe_bridge] Script dir: ${SCRIPT_DIR}"
-
-# --- Locate sources ---
-# Support both layouts:
-#   1. SCRIPT_DIR=/workspace/ex_engine → csrc/ is direct child
-#   2. SCRIPT_DIR=/workspace/qwen3_6_scripts/ex_engine_src → csrc/ is direct child
-MOE_CU=""
-BRIDGE_CPP=""
-for base in "${SCRIPT_DIR}" "${SCRIPT_DIR}/ex_engine"; do
-    [[ -f "${base}/csrc/moe_ops_impl.cu" ]] && MOE_CU="${base}/csrc/moe_ops_impl.cu"
-    [[ -f "${base}/csrc/ix_full_bridge_v2.cpp" ]] && BRIDGE_CPP="${base}/csrc/ix_full_bridge_v2.cpp"
-done
-
-if [[ -z "$MOE_CU" ]]; then
-    echo "[moe_bridge] ERROR: moe_ops_impl.cu not found under ${SCRIPT_DIR}" >&2
-    exit 1
-fi
-if [[ -z "$BRIDGE_CPP" ]]; then
-    echo "[moe_bridge] ERROR: ix_full_bridge_v2.cpp not found under ${SCRIPT_DIR}" >&2
-    exit 1
-fi
-echo "[moe_bridge] MOE_CU: ${MOE_CU}"
-echo "[moe_bridge] BRIDGE_CPP: ${BRIDGE_CPP}"
-
-# --- Locate libraries ---
-COREX_ROOT="${COREX_ROOT:-/usr/local/corex}"
-
-# Find libcuinfer.so
-CUINFER_SO=""
-for d in "${COREX_ROOT}/lib64" "${COREX_ROOT}/lib" "/usr/lib64" "/usr/lib"; do
-    if [[ -f "${d}/libcuinfer.so" ]]; then
-        CUINFER_SO="${d}/libcuinfer.so"
-        break
-    fi
-done
-
-# Find libixformer.so and ixformer Python package
-IX_LIB_DIR=""
-IX_SO_FILES=()
-for d in \
-    "${COREX_ROOT}/lib/python3/dist-packages/ixformer" \
-    "${COREX_ROOT}/lib64/python3/dist-packages/ixformer" \
-    "$(python3 -c 'import ixformer, os; print(os.path.dirname(ixformer.__file__))' 2>/dev/null || echo '')"; do
-    if [[ -d "$d" ]]; then
-        IX_LIB_DIR="$d"
-        while IFS= read -r so; do
-            IX_SO_FILES+=("$so")
-        done < <(find "$d" -name "*.so" -type f 2>/dev/null)
-        break
-    fi
-done
-
-echo "[moe_bridge] COREX_ROOT: ${COREX_ROOT}"
-echo "[moe_bridge] cuinfer: ${CUINFER_SO:-NOT FOUND}"
-echo "[moe_bridge] ixformer dir: ${IX_LIB_DIR:-NOT FOUND}"
-echo "[moe_bridge] ixformer .so count: ${#IX_SO_FILES[@]}"
-
-# --- Build via torch.utils.cpp_extension ---
-mkdir -p "${SCRIPT_DIR}/prebuilt"
-
-export SCRIPT_DIR VLLM_ROOT
-python3 << 'PYEOF'
-import os, sys, glob, shutil
-
-script_dir = os.environ.get("SCRIPT_DIR", ".")
-vllm_root = os.environ.get("VLLM_ROOT", "")
-
-# Find source files — try direct csrc/ first, then ex_engine/csrc/
-moe_cu = ""
-bridge_cpp = ""
-for base in [script_dir, os.path.join(script_dir, "ex_engine")]:
-    candidate_cu = os.path.join(base, "csrc", "moe_ops_impl.cu")
-    candidate_cpp = os.path.join(base, "csrc", "ix_full_bridge_v2.cpp")
-    if os.path.isfile(candidate_cu):
-        moe_cu = candidate_cu
-    if os.path.isfile(candidate_cpp):
-        bridge_cpp = candidate_cpp
-if not moe_cu or not bridge_cpp:
-    print(f"[moe_bridge] ERROR: sources not found under {script_dir}")
-    sys.exit(1)
-print(f"[moe_bridge] MOE_CU: {moe_cu}")
-print(f"[moe_bridge] BRIDGE_CPP: {bridge_cpp}")
-
-# Collect linker flags
-extra_ldflags = []
-rpath_dirs = set()
-
-corex_root = os.environ.get("COREX_ROOT", "/usr/local/corex")
-for search_dir in [
-    os.path.join(corex_root, "lib64"),
-    os.path.join(corex_root, "lib"),
-]:
-    if os.path.isdir(search_dir):
-        rpath_dirs.add(search_dir)
-        for so in glob.glob(os.path.join(search_dir, "libcuinfer*.so*")):
-            extra_ldflags.append(so)
-
-# ixformer .so files
-try:
-    import ixformer
-    ix_dir = os.path.dirname(ixformer.__file__)
-    rpath_dirs.add(ix_dir)
-    for so in glob.glob(os.path.join(ix_dir, "*.so")):
-        extra_ldflags.append(so)
-    for so in glob.glob(os.path.join(ix_dir, "lib*.so")):
-        if so not in extra_ldflags:
-            extra_ldflags.append(so)
-except ImportError:
-    # Search common paths
-    for d in [
-        os.path.join(corex_root, "lib", "python3", "dist-packages", "ixformer"),
-        os.path.join(corex_root, "lib64", "python3", "dist-packages", "ixformer"),
-    ]:
-        if os.path.isdir(d):
-            rpath_dirs.add(d)
-            for so in glob.glob(os.path.join(d, "*.so")):
-                extra_ldflags.append(so)
-
-for d in rpath_dirs:
-    extra_ldflags.append(f"-Wl,-rpath,{d}")
-
-print(f"[moe_bridge] Linking against {len(extra_ldflags)} items")
-for f in extra_ldflags[:10]:
-    print(f"  {f}")
-
-try:
-    from torch.utils.cpp_extension import load
-
-    mod = load(
-        name="ix_moe_bridge",
-        sources=[moe_cu, bridge_cpp],
-        extra_include_paths=[os.path.join(script_dir, "csrc")],
-        extra_cflags=["-O2", "-std=c++17"],
-        extra_cuda_cflags=["-O2", ],
-        extra_ldflags=extra_ldflags,
-        verbose=True,
-    )
-    print("[moe_bridge] ✓ Compilation successful")
-
-    # Find and copy the built .so
-    import importlib
-    spec = importlib.util.find_spec("ix_moe_bridge")
-    if spec and spec.origin:
-        dst = os.path.join(script_dir, "prebuilt", "ix_moe_bridge.so")
-        shutil.copy2(spec.origin, dst)
-        print(f"[moe_bridge] ✓ Saved to {dst}")
-
-        if vllm_root:
-            vllm_dst = os.path.join(vllm_root, "ex_engine", "ix_moe_bridge.so")
-            os.makedirs(os.path.dirname(vllm_dst), exist_ok=True)
-            shutil.copy2(spec.origin, vllm_dst)
-            print(f"[moe_bridge] ✓ Deployed to {vllm_dst}")
-    else:
-        print("[moe_bridge] ⚠ Could not locate compiled .so via importlib")
-
-except Exception as e:
-    print(f"[moe_bridge] ERROR: {e}", file=sys.stderr)
-    import traceback; traceback.print_exc()
-    sys.exit(1)
-PYEOF
-
-echo "[moe_bridge] Done"

qwen3_6_scripts/patch_ops.sh

@@ -202,36 +202,19 @@ fi
 # --- Deploy ix_bridge Python integration layer --------------------------------
 build_stage "deploying ix_bridge operator replacements"
 EX_ENGINE_DIR="$(cd "$(dirname "$0")/../ex_engine" 2>/dev/null && pwd || echo "")"
-if [ -z "$EX_ENGINE_DIR" ] || [ ! -d "$EX_ENGINE_DIR/python" ]; then
+if [ -z "$EX_ENGINE_DIR" ] || [ ! -d "$EX_ENGINE_DIR" ]; then
-    # Dockerfile puts ex_engine at /workspace/ex_engine
+    EX_ENGINE_DIR="$(cd "$(dirname "$0")" && pwd)/../ex_engine"
-    EX_ENGINE_DIR="/workspace/ex_engine"
 fi
 
 if [ -d "$EX_ENGINE_DIR/python" ]; then
-    # Create ex_engine package inside vllm with correct Python package structure
+    # Create ex_engine package inside vllm
-    mkdir -p "${VLLM_ROOT}/ex_engine/python"
     mkdir -p "${VLLM_ROOT}/ex_engine/csrc"
+    echo '"""ex_engine — Algorithm factor replacement for BI-V100."""' > "${VLLM_ROOT}/ex_engine/__init__.py"
 
-    # __init__.py with re-exports so both import styles work:
+    # Deploy Python modules
-    #   from ex_engine.python import ix_ops_dispatch  (direct)
+    cp "$EX_ENGINE_DIR/python/ix_ops.py" "${VLLM_ROOT}/ex_engine/ix_ops.py"
-    #   from vllm.ex_engine import ix_ops_dispatch    (via re-export)
+    cp "$EX_ENGINE_DIR/python/patch_vllm_ops.py" "${VLLM_ROOT}/ex_engine/patch_vllm_ops.py"
-    cat > "${VLLM_ROOT}/ex_engine/__init__.py" << 'INIT_EOF'
+    echo "[patch_ops] deployed ix_ops.py + patch_vllm_ops.py → ${VLLM_ROOT}/ex_engine/"
-"""ex_engine — Algorithm factor replacement for BI-V100."""
-# Re-export python subpackage members at top level for backward compat
-# Allows: from vllm.ex_engine import ix_ops_dispatch
-try:
-    from ex_engine.python.ix_ops_dispatch import *
-    from ex_engine.python import ix_ops_dispatch
-    from ex_engine.python import ix_ops
-    from ex_engine.python import patch_vllm_ops
-except ImportError:
-    pass
-INIT_EOF
-    echo '"""ex_engine.python — dispatch and bridge modules."""' > "${VLLM_ROOT}/ex_engine/python/__init__.py"
-
-    # Deploy ALL Python modules
-    cp "$EX_ENGINE_DIR/python/"*.py "${VLLM_ROOT}/ex_engine/python/"
-    echo "[patch_ops] deployed $(ls -1 "${VLLM_ROOT}/ex_engine/python/"*.py | wc -l) modules → ${VLLM_ROOT}/ex_engine/python/"
 
     # Deploy bridge C++ source for JIT fallback
     for cpp in "$EX_ENGINE_DIR"/csrc/ix_full_bridge*.cpp "$EX_ENGINE_DIR"/csrc/ix_moe_bridge.cpp; do
@@ -246,7 +229,7 @@ import logging
 _logger = logging.getLogger("ix_startup_patch")
 def apply():
     try:
-        from vllm.ex_engine.python.patch_vllm_ops import apply_all_patches
+        from vllm.ex_engine.patch_vllm_ops import apply_all_patches
         n = apply_all_patches()
         if n > 0:
             _logger.info("ix_startup_patch: %d patches applied", n)
@@ -349,83 +332,22 @@ if b"max_completion_tokens" not in installed:
     raise SystemExit("protocol.py missing max_completion_tokens field")
 PY
 
-build_stage "building CUTLASS grouped GEMM (gemm_grouped.so)"
-if [[ -f "${EX_ENGINE_DIR}/build_gemm_grouped.sh" ]]; then
-    bash "${EX_ENGINE_DIR}/build_gemm_grouped.sh" 2>&1 || {
-        echo "[WARN] gemm_grouped build failed — will use torch.mm fallback"
-    }
-    # Deploy compiled .so if it exists
-    for so in "${EX_ENGINE_DIR}"/gemm_grouped.so "${EX_ENGINE_DIR}"/csrc/gemm_grouped.so; do
-        if [[ -f "$so" ]]; then
-            cp "$so" "${VLLM_ROOT}/gemm_grouped.so"
-            echo "[patch_ops] deployed gemm_grouped.so → ${VLLM_ROOT}/"
-            break
-        fi
-    done
-fi
-
-build_stage "building CUTLASS batched GEMM (corex_batched_gemm.so)"
-if [[ -f "${EX_ENGINE_DIR}/xllm_kernels/cuda/corex_batched_gemm_kernel.cu" ]]; then
-    python3 << PYEOF
-import os, sys, shutil
-try:
-    from torch.utils.cpp_extension import load
-    ex = "${EX_ENGINE_DIR}"
-    cutlass_inc = ""
-    for d in ["/usr/local/corex-samples-3.2.3_x86_64/samples/cutlass/include",
-              "/usr/local/corex/include/cutlass", "/usr/include/cutlass"]:
-        if os.path.isdir(d):
-            cutlass_inc = d
-            break
-    if not cutlass_inc:
-        print("[batched_gemm] No cutlass headers — skip"); sys.exit(0)
-    mod = load(
-        name="corex_batched_gemm",
-        sources=[
-            os.path.join(ex, "xllm_kernels/cuda/corex_batched_gemm_kernel.cu"),
-            os.path.join(ex, "xllm_kernels/cuda/bindings/corex_batched_gemm_bind.cpp"),
-        ],
-        extra_include_paths=[cutlass_inc],
-        extra_cflags=["-O2", "-std=c++17"],
-        extra_cuda_cflags=["-O2", f"-I{cutlass_inc}"],
-        extra_ldflags=["/usr/local/corex/lib64/libcuinfer.so", "-Wl,-rpath,/usr/local/corex/lib64"],
-        verbose=False,
-    )
-    print("[batched_gemm] ✓ Compiled")
-    import importlib
-    spec = importlib.util.find_spec("corex_batched_gemm")
-    if spec and spec.origin:
-        shutil.copy2(spec.origin, "${VLLM_ROOT}/corex_batched_gemm.so")
-        print("[batched_gemm] ✓ Deployed to ${VLLM_ROOT}/")
-except Exception as e:
-    print(f"[batched_gemm] WARN: {e}")
-PYEOF
-fi
-
 build_stage "building MoE bridge (ix_moe_bridge.so)"
-if [[ -f "${EX_ENGINE_DIR}/csrc/ix_moe_bridge.cpp" ]]; then
+if [[ -f "./ex_engine_src/build_moe_bridge.sh" ]]; then
-    SCRIPT_DIR="${EX_ENGINE_DIR}" bash "${EX_ENGINE_DIR}/build_moe_bridge.sh" "${VLLM_ROOT}" 2>&1 || {
+    bash ./ex_engine_src/build_moe_bridge.sh "${VLLM_ROOT}" 2>&1 || {
         echo "[WARN] MoE bridge build failed — will use Python fallback"
     }
-    # Deploy .so to all paths ix_fused_moe.py searches
-    for src in "${VLLM_ROOT}/ex_engine/ix_moe_bridge.so" \
-               "${EX_ENGINE_DIR}/prebuilt/ix_moe_bridge.so"; do
-        if [[ -f "$src" ]]; then
-            cp "$src" "${VLLM_ROOT}/ix_moe_bridge.so" 2>/dev/null || true
-            cp "$src" "${VLLM_ROOT}/model_executor/models/ix_moe_bridge.so" 2>/dev/null || true
-            echo "[patch_ops] deployed ix_moe_bridge.so to vllm search paths"
-            break
-        fi
-    done
 fi
 
-build_stage "deploying all ex_engine Python modules"
+build_stage "deploying MoE dispatch modules"
-EX_PY_DIR="${VLLM_ROOT}/ex_engine/python"
+EX_DIR="${VLLM_ROOT}/ex_engine/python"
-mkdir -p "${EX_PY_DIR}"
+mkdir -p "${EX_DIR}"
-if [[ -d "${EX_ENGINE_DIR}/python" ]]; then
+for pyfile in moe_dispatch.py patch_moe_hot_path.py; do
-    cp "${EX_ENGINE_DIR}/python/"*.py "${EX_PY_DIR}/" 2>/dev/null
+    if [[ -f "./ex_engine_src/python/${pyfile}" ]]; then
-    echo "[patch_ops] deployed $(ls -1 "${EX_PY_DIR}"/*.py 2>/dev/null | wc -l) Python modules → ${EX_PY_DIR}/"
+        cp "./ex_engine_src/python/${pyfile}" "${EX_DIR}/${pyfile}"
-fi
+        echo "  ✓ ${pyfile}"
+    fi
+done
 
 build_stage "compiling submission Python sources"
 find . -path './wheels' -prune -o -name '*.py' -print0 | xargs -0 python3 -m py_compile

qwen3_6_scripts/qwen3_5.py

@@ -143,11 +143,6 @@ try:
 except ImportError:
     _corex_batched_gemm = None
 
-try:
-    from vllm import gemm_grouped as _gemm_grouped
-except ImportError:
-    _gemm_grouped = None
-
 try:
     from vllm import corex_moe_topk_softmax as _corex_moe_topk_softmax
 except ImportError:
@@ -217,11 +212,6 @@ _USE_COREX_MOE_DIRECT_ROUTED = (
 _USE_COREX_BATCHED_GEMM = (
     _corex_batched_gemm is not None
     and env_bool("BI100_MOE_BATCHED_GEMM", True))
-_USE_GEMM_GROUPED = (
-    _gemm_grouped is not None
-    and env_bool("BI100_MOE_GEMM_GROUPED", True))
-if _USE_GEMM_GROUPED:
-    logger.info("gemm_grouped ENABLED — CUTLASS Cu10 grouped GEMM for MoE prefill")
 _USE_COREX_MOE_TOPK_SOFTMAX = (
     _corex_moe_topk_softmax is not None
     and env_bool("BI100_MOE_COREX_TOPK_SOFTMAX", True))
@@ -1894,46 +1884,21 @@ class Qwen3_5MoeSparseBlock(nn.Module):
                 expert_counts = torch.bincount(
                     flat_eids, minlength=w13.shape[0]).tolist()
 
-            # --- CUTLASS grouped GEMM path (replaces per-expert F.linear loop) ---
+            start = 0
-            if _USE_GEMM_GROUPED and hidden_states.dtype == torch.float16:
+            for eid, count in enumerate(expert_counts):
-                # Sort tokens into expert order
+                end = start + count
-                sorted_hidden = hidden_states[sorted_tok_ids]  # (T*topk, H)
+                if count == 0:
-                expert_counts_t = torch.tensor(
-                    expert_counts, dtype=torch.int32,
-                    device=hidden_states.device) if not isinstance(
-                    expert_counts, torch.Tensor) else expert_counts
-
-                # Step 4: grouped GEMM w13 (gate_proj + up_proj)
-                gemm1_out = _gemm_grouped.moe_group_gemm(
-                    sorted_hidden, w13, expert_counts_t)  # (T*topk, 2*I)
-                gate, up = gemm1_out.chunk(2, dim=-1)
-                act_out = F.silu(gate) * up  # (T*topk, I)
-
-                # Step 6: grouped GEMM w2 (down_proj)
-                gemm2_out = _gemm_grouped.moe_group_gemm(
-                    act_out, w2, expert_counts_t)  # (T*topk, H)
-
-                # Step 7: weighted combine back to token order
-                flat_weights = sorted_weights.unsqueeze(-1)  # (T*topk, 1)
-                weighted = (gemm2_out * flat_weights).to(out.dtype)
-                out.index_add_(0, sorted_tok_ids, weighted)
-            else:
-                # Fallback: per-expert F.linear loop
-                start = 0
-                for eid, count in enumerate(expert_counts):
-                    end = start + count
-                    if count == 0:
-                        start = end
-                        continue
-                    tok_ids = sorted_tok_ids[start:end]
-                    tokens = hidden_states[tok_ids]                # (n, H)
-                    gate_up = F.linear(tokens, w13[eid])           # (n, 2*I)
-                    gate, up = gate_up.chunk(2, dim=-1)
-                    act = F.silu(gate) * up                        # (n, I)
-                    expert_out = F.linear(act, w2[eid])            # (n, H)
-                    weights = sorted_weights[start:end].unsqueeze(-1)
-                    out.index_add_(0, tok_ids, (expert_out * weights).to(out.dtype))
                     start = end
+                    continue
+                tok_ids = sorted_tok_ids[start:end]
+                tokens = hidden_states[tok_ids]                # (n, H)
+                gate_up = F.linear(tokens, w13[eid])           # (n, 2*I)
+                gate, up = gate_up.chunk(2, dim=-1)
+                act = F.silu(gate) * up                        # (n, I)
+                expert_out = F.linear(act, w2[eid])            # (n, H)
+                weights = sorted_weights[start:end].unsqueeze(-1)
+                out.index_add_(0, tok_ids, (expert_out * weights).to(out.dtype))
+                start = end
 
         return out  # partial, all-reduce done in forward()