[Intel GPU] Upgrade pytorch xpu version to 2.10 (#20254)

Signed-off-by: P V R K Jyothendra Varma <polisetty.v.r.k.jyothendra.varma@intel.com>
This commit is contained in:
Polisetty V R K Jyothendra Varma
2026-03-11 07:17:25 +05:30
committed by GitHub
parent 16ec4f3a4a
commit b2dd104ade
3 changed files with 19 additions and 10 deletions

View File

@@ -3,7 +3,7 @@
# Usage: docker build --build-arg UBUNTU_VERSION=24.04 --build-arg PYTHON_VERSION=3.10 -t sglang:xpu_kernel -f xpu.Dockerfile --no-cache .
# Use Intel deep learning essentials base image with Ubuntu 24.04
FROM intel/deep-learning-essentials:2025.2.2-0-devel-ubuntu24.04
FROM intel/deep-learning-essentials:2025.3.2-0-devel-ubuntu24.04
# Avoid interactive prompts during package install
ENV DEBIAN_FRONTEND=noninteractive
@@ -48,7 +48,7 @@ RUN --mount=type=secret,id=github_token \
cd /home/sdp && \
. /home/sdp/miniforge3/bin/activate && \
conda activate py${PYTHON_VERSION} && \
pip3 install torch==2.9.0+xpu torchao torchvision torchaudio pytorch-triton-xpu==3.5.0 --index-url https://download.pytorch.org/whl/xpu
pip3 install torch==2.10.0+xpu torchao torchvision torchaudio triton-xpu==3.6.0 --index-url https://download.pytorch.org/whl/xpu
RUN --mount=type=secret,id=github_token \
cd /home/sdp && \

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@@ -30,7 +30,7 @@ conda create -n sgl-xpu python=3.12 -y
conda activate sgl-xpu
# Set PyTorch XPU as primary pip install channel to avoid installing the larger CUDA-enabled version and prevent potential runtime issues.
pip3 install torch==2.9.0+xpu torchao torchvision torchaudio pytorch-triton-xpu==3.5.0 --index-url https://download.pytorch.org/whl/xpu
pip3 install torch==2.10.0+xpu torchao torchvision torchaudio triton-xpu==3.6.0 --index-url https://download.pytorch.org/whl/xpu
pip3 install xgrammar --no-deps # xgrammar will introduce CUDA-enabled triton which might conflict with XPU
# Clone the SGLang code
@@ -43,7 +43,7 @@ cd python
cp pyproject_xpu.toml pyproject.toml
# Install SGLang dependent libs, and build SGLang main package
pip install --upgrade pip setuptools
pip install -v .
pip install -v . --extra-index-url https://download.pytorch.org/whl/xpu
```
### Install Using Docker

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@@ -15,10 +15,10 @@ classifiers = [
]
dependencies = [
"torch==2.9.0",
"torchcodec==0.9.1 ; sys_platform != 'linux' or (sys_platform == 'linux' and platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')", # torchcodec does not exist in those systems. torch==2.9.0 on XPU uses 0.9.1
"torch==2.10.0+xpu",
"torchcodec==0.10.0 ; sys_platform != 'linux' or (sys_platform == 'linux' and platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')", # torchcodec does not exist in those systems. torch==2.10.0 on XPU uses 0.10.0
"av ; sys_platform == 'linux' and (platform_machine == 'aarch64' or platform_machine == 'arm64' or platform_machine == 'armv7l')",
"torchaudio==2.9.0",
"torchaudio==2.10.0+xpu",
"torchvision",
"sgl-kernel @ git+https://github.com/sgl-project/sgl-kernel-xpu.git",
"IPython",
@@ -73,25 +73,32 @@ dependencies = [
[project.optional-dependencies]
tracing = [
"opentelemetry-sdk",
"opentelemetry-api",
"opentelemetry-exporter-otlp",
"opentelemetry-exporter-otlp-proto-grpc",
"opentelemetry-sdk",
]
test = [
"accelerate",
"bitsandbytes",
"expecttest",
"jsonlines",
"lm-eval[api]>=0.4.9.2",
"matplotlib",
"pandas",
"parameterized",
"peft",
"pytest",
"sentence_transformers",
"tabulate",
]
all = []
dev = ["sglang[test]"]
all = [
"sglang[tracing]",
]
[project.urls]
"Homepage" = "https://github.com/sgl-project/sglang"
"Bug Tracker" = "https://github.com/sgl-project/sglang/issues"
@@ -130,4 +137,6 @@ exclude = [
[tool.setuptools_scm]
root = ".."
version_file = "sglang/_version.py"
git_describe_command = ["git", "describe", "--tags", "--long", "--match", "v*"]
git_describe_command = ["bash", "-c", "git tag --list --sort=-version:refname 'v*.*.*' | head -1 | xargs git describe --tags --long"]
# Allow editable installs even when .git metadata is not available.
fallback_version = "0.0.0.dev0"