.

Dockerfile

@@ -110,13 +110,12 @@ RUN pip wheel "gradio==5.38.2" requests -w /wheels
 RUN pip wheel pybase64==1.3.2 -w /wheels
 
 
-# >>> ADD: 导出轮子的独立阶段
+# 导出轮子的独立阶段
 FROM scratch AS wheelhouse
 COPY --from=builder-extras /wheels /
-# <<< END ADD
 
 
-# >>> ADD: 从宿主机目录 _wheelhouse/ 安装轮子的 runtime
+# 从宿主机目录 _wheelhouse/ 安装轮子的 runtime
 ARG CUDA_VERSION=12.6.1
 FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04 AS runtime-prebuilt
 
@@ -129,11 +128,7 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
       libnccl2=2.22.3-1+cuda12.6 && \
     rm -rf /var/lib/apt/lists/* && \
     python3 -m pip install --no-cache-dir --upgrade pip
-    # python3 -m pip install --no-cache-dir xgrammar
 
-# 拷贝 cupti 动态库（与 autobuild 相同）
-# COPY --from=builder-extras /usr/local/cuda/lib64/libcupti.so.12 /usr/lib/x86_64-linux-gnu/
-# COPY --from=builder-extras /usr/local/cuda/lib64/libcupti.so /usr/lib/x86_64-linux-gnu/
 RUN ldconfig -p | grep -i cupti || (echo "no cupti"; exit 1)
 RUN ldconfig
 
@@ -168,11 +163,6 @@ RUN apt-get update && apt-get install -y --no-install-recommends gcc g++ build-e
         libopenblas-dev libgomp1 libcupti-dev libnuma1 libopenmpi-dev openmpi-bin libnuma-dev libpng16-16 libjpeg8 libnccl2=2.22.3-1+cuda12.6 && \
     rm -rf /var/lib/apt/lists/* && \
     python3 -m pip install --no-cache-dir --upgrade pip
-    # && python3 -m pip install --no-cache-dir xgrammar
-
-# 👉 拷贝 cupti 动态库（避免写死版本号）
-# COPY --from=builder-extras /usr/local/cuda/lib64/libcupti.so.12 /usr/lib/x86_64-linux-gnu/
-# COPY --from=builder-extras /usr/local/cuda/lib64/libcupti.so /usr/lib/x86_64-linux-gnu/
 
 # 检查 cupti 动态库
 RUN ldconfig -p | grep -i cupti || (echo "no cupti"; exit 1)
@@ -180,8 +170,6 @@ RUN ldconfig -p | grep -i cupti || (echo "no cupti"; exit 1)
 # 👇建议在后面补上
 RUN ldconfig
 
-
-#COPY --from=builder-extras /wheels /tmp/wheels
 COPY _wheelhouse/ /tmp/wheels/
 
 # ✅ 优先装你自编的 torch，避免被 PyPI 上的覆盖