[sgl-kernel] Prep for torch 2.11 upgrade and switch PyPI default to cu130 (#24162)

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com>
This commit is contained in:
Kangyan-Zhou
2026-04-30 14:54:39 -07:00
committed by GitHub
co-authored by Claude Opus 4.7 Baizhou Zhang
parent c04b20dc88
commit 340efca244
4 changed files with 40 additions and 44 deletions
+34 -38
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@@ -34,6 +34,9 @@ concurrency:
cancel-in-progress: true
jobs:
# cu130 is the PyPI-released variant; cu129 wheels are published only to the
# sgl-project/whl index (consumed via `pip install ...+cu129` for the legacy
# cuda 12.9 path), not to PyPI.
build-cu129-matrix:
if: |
github.repository == 'sgl-project/sglang' &&
@@ -78,43 +81,6 @@ jobs:
BUILD_JOBS: 64
NVCC_THREADS: 8
# rename_wheels.sh tags the cu129 wheel's METADATA Version with +cu129
# (needed elsewhere — e.g. local install discrimination — see PR #23587),
# but PyPI rejects PEP 440 local version labels with HTTP 400. Repack a
# PyPI-clean copy with the +cu129 segment stripped into dist-pypi/, and
# upload that copy. dist/ is left untouched so the +cu129 wheel still
# flows through the upload-artifact -> sgl-project/whl index path below.
- name: Strip +cu129 local version for PyPI upload
working-directory: sgl-kernel
run: |
set -eux
pip install wheel
mkdir -p dist-pypi
for w in dist/*.whl; do
tmp=$(mktemp -d)
python3 -m wheel unpack "$w" --dest "$tmp"
unpacked=$(find "$tmp" -mindepth 1 -maxdepth 1 -type d | head -1)
info=$(find "$unpacked" -maxdepth 1 -type d -name "*.dist-info" | head -1)
meta="$info/METADATA"
orig=$(grep '^Version:' "$meta" | head -1 | sed 's/^Version:[[:space:]]*//')
new=$(echo "$orig" | sed 's/+cu[0-9]\+$//')
if [ "$orig" != "$new" ]; then
sed -i "s/^Version:.*/Version: ${new}/" "$meta"
old_base=$(basename "$info")
new_base="${old_base/${orig}/${new}}"
mv "$info" "$(dirname "$info")/${new_base}"
fi
python3 -m wheel pack "$unpacked" --dest-dir dist-pypi
rm -rf "$tmp"
done
ls -lh dist-pypi/
- name: Upload to PyPI
working-directory: sgl-kernel
run: |
pip install twine
python3 -m twine upload --skip-existing dist-pypi/* -u __token__ -p ${{ secrets.PYPI_TOKEN_SGLANG_KERNEL }}
- name: Upload artifacts
uses: actions/upload-artifact@v4
with:
@@ -172,7 +138,6 @@ jobs:
git commit -m "update whl index"
git push
# for now we do not release CUDA 13.0 wheels to pypi
build-cu130-matrix:
if: |
github.repository == 'sgl-project/sglang' &&
@@ -217,6 +182,37 @@ jobs:
BUILD_JOBS: 64
NVCC_THREADS: 8
- name: Strip +cu130 local version for PyPI upload
working-directory: sgl-kernel
run: |
set -eux
pip install wheel
mkdir -p dist-pypi
for w in dist/*.whl; do
tmp=$(mktemp -d)
python3 -m wheel unpack "$w" --dest "$tmp"
unpacked=$(find "$tmp" -mindepth 1 -maxdepth 1 -type d | head -1)
info=$(find "$unpacked" -maxdepth 1 -type d -name "*.dist-info" | head -1)
meta="$info/METADATA"
orig=$(grep '^Version:' "$meta" | head -1 | sed 's/^Version:[[:space:]]*//')
new=$(echo "$orig" | sed 's/+cu[0-9]\+$//')
if [ "$orig" != "$new" ]; then
sed -i "s/^Version:.*/Version: ${new}/" "$meta"
old_base=$(basename "$info")
new_base="${old_base/${orig}/${new}}"
mv "$info" "$(dirname "$info")/${new_base}"
fi
python3 -m wheel pack "$unpacked" --dest-dir dist-pypi
rm -rf "$tmp"
done
ls -lh dist-pypi/
- name: Upload to PyPI
working-directory: sgl-kernel
run: |
pip install twine
python3 -m twine upload --skip-existing dist-pypi/* -u __token__ -p ${{ secrets.PYPI_TOKEN_SGLANG_KERNEL }}
- name: Upload artifacts
uses: actions/upload-artifact@v4
with:
+1 -1
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@@ -7,7 +7,7 @@ import re
# All the CUDA versions that the wheels will cover
SUPPORTED_CUDA_VERSIONS = ["129", "130"]
DEFAULT_CUDA_VERSION = "129"
DEFAULT_CUDA_VERSION = "130"
def check_wheel_cuda_version(path_name, target_cuda_version):
+4 -4
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@@ -79,10 +79,10 @@ RUN set -eux; \
RUN --mount=type=cache,id=sgl-kernel-pip,target=/root/.cache/pip \
set -eux; \
case "${CUDA_VERSION}" in \
13.0) TORCH_VER=2.9.1; CU_TAG=cu130 ;; \
12.9) TORCH_VER=2.9.1; CU_TAG=cu128 ;; \
12.8) TORCH_VER=2.9.1; CU_TAG=cu128 ;; \
*) TORCH_VER=2.9.1; CU_TAG=cu126 ;; \
13.0) TORCH_VER=2.11.0; CU_TAG=cu130 ;; \
12.9) TORCH_VER=2.11.0; CU_TAG=cu129 ;; \
12.8) TORCH_VER=2.11.0; CU_TAG=cu128 ;; \
*) TORCH_VER=2.11.0; CU_TAG=cu126 ;; \
esac; \
${PYTHON_ROOT_PATH}/bin/pip install torch==${TORCH_VER} --index-url https://${PYTORCH_MIRROR}/whl/${CU_TAG}; \
${PYTHON_ROOT_PATH}/bin/pip install ninja setuptools==75.0.0 wheel==0.41.0 numpy uv scikit-build-core --index-url ${PIP_DEFAULT_INDEX}
+1 -1
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@@ -12,7 +12,7 @@
`sglang-kernel` provides optimized compute primitives for LLM inference engines, enabling efficient inference for large language models and vision-language models through custom kernel operations. The source tree remains under the `sgl-kernel/` directory and the Python import path remains `sgl_kernel`.
## Installation
Requires torch == 2.9.1
Requires torch == 2.11.0
```bash
# Latest version