chore: use torch 2.8 stable (#8880)

docker/Dockerfile

@@ -69,7 +69,7 @@ RUN python3 -m pip install --no-cache-dir --upgrade pip setuptools wheel html5li
       12.9.1) CUINDEX=129 ;; \
       *) echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1 ;; \
     esac \
- && python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/test/cu${CUINDEX} \
+ && python3 -m pip install --no-cache-dir -e "python[${BUILD_TYPE}]" --extra-index-url https://download.pytorch.org/whl/cu${CUINDEX} \
  && python3 -m pip install --no-cache-dir nvidia-nccl-cu12==2.27.6 --force-reinstall --no-deps \
  && if [ "$CUDA_VERSION" = "12.8.1" ]; then \
       python3 -m pip install --no-cache-dir https://github.com/sgl-project/whl/releases/download/v0.3.2/sgl_kernel-0.3.2+cu128-cp39-abi3-manylinux2014_x86_64.whl --force-reinstall --no-deps ; \

scripts/ci_install_dependency.sh

@@ -32,7 +32,7 @@ rm -rf /usr/local/lib/python3.10/dist-packages/flashinfer*
 rm -rf /usr/local/lib/python3.10/dist-packages/sgl_kernel*
 
 # Install the main package
-pip install -e "python[dev]" --extra-index-url https://download.pytorch.org/whl/test/${CU_VERSION} --break-system-packages
+pip install -e "python[dev]" --extra-index-url https://download.pytorch.org/whl/${CU_VERSION} --break-system-packages
 
 # Show current packages
 pip list

sgl-kernel/build.sh

@@ -23,13 +23,13 @@ fi
 
 if [ ${CUDA_VERSION} = "12.9" ]; then
    DOCKER_IMAGE="${BUILDER_NAME}:cuda${CUDA_VERSION}"
-   TORCH_INSTALL="pip install --no-cache-dir torch==2.8.0 --index-url https://download.pytorch.org/whl/test/cu129"
+   TORCH_INSTALL="pip install --no-cache-dir torch==2.8.0 --index-url https://download.pytorch.org/whl/cu129"
 elif [ ${CUDA_VERSION} = "12.8" ]; then
    DOCKER_IMAGE="${BUILDER_NAME}:cuda${CUDA_VERSION}"
-   TORCH_INSTALL="pip install --no-cache-dir torch==2.8.0 --index-url https://download.pytorch.org/whl/test/cu128"
+   TORCH_INSTALL="pip install --no-cache-dir torch==2.8.0 --index-url https://download.pytorch.org/whl/cu128"
 else
    DOCKER_IMAGE="${BUILDER_NAME}:cuda${CUDA_VERSION}"
-   TORCH_INSTALL="pip install --no-cache-dir torch==2.8.0 --index-url https://download.pytorch.org/whl/test/cu126"
+   TORCH_INSTALL="pip install --no-cache-dir torch==2.8.0 --index-url https://download.pytorch.org/whl/cu126"
 fi
 
 docker run --rm \