chore: use torch 2.6 for sgl-kernel build (#5898)

sgl-kernel/build.sh

@@ -13,7 +13,7 @@ if [ ${CUDA_VERSION} = "12.8" ]; then
    TORCH_INSTALL="pip install --no-cache-dir --pre torch --index-url https://download.pytorch.org/whl/nightly/cu${CUDA_VERSION//.}"
 else
    DOCKER_IMAGE="pytorch/manylinux-builder:cuda${CUDA_VERSION}"
-   TORCH_INSTALL="pip install --no-cache-dir torch==2.5.1 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.}"
+   TORCH_INSTALL="pip install --no-cache-dir torch==2.6.0 --index-url https://download.pytorch.org/whl/cu${CUDA_VERSION//.}"
 fi
 
 docker run --rm \

sgl-kernel/pyproject.toml

@@ -1,7 +1,7 @@
 [build-system]
 requires = [
   "scikit-build-core>=0.10",
-  "torch>=2.5.1",
+  "torch>=2.6.0",
   "wheel",
 ]
 build-backend = "scikit_build_core.build"

sgl-kernel/pyproject_rocm.toml

@@ -2,7 +2,7 @@
 requires = [
   "setuptools>=75.0",
   "scikit-build-core>=0.10",
-  "torch>=2.5.1",
+  "torch>=2.6.0",
   "wheel",
 ]
 build-backend = "setuptools.build_meta"