From 4f723edd3baf3823eddfb9d6426548daba17c687 Mon Sep 17 00:00:00 2001 From: Yineng Zhang Date: Tue, 10 Jun 2025 01:56:20 -0700 Subject: [PATCH] chore: bump v0.4.7 (#7038) --- Makefile | 2 +- benchmark/deepseek_v3/README.md | 2 +- docker/Dockerfile | 8 ++++++-- docker/Dockerfile.rocm | 2 +- docs/references/setup_github_runner.md | 4 ++-- docs/start/install.md | 12 ++++++------ python/pyproject.toml | 2 +- python/sglang/version.py | 2 +- 8 files changed, 19 insertions(+), 15 deletions(-) diff --git a/Makefile b/Makefile index d6e05cb13..83bdab8cb 100644 --- a/Makefile +++ b/Makefile @@ -19,7 +19,7 @@ format: check-deps ## Format modified Python files using isort and black FILES_TO_UPDATE = docker/Dockerfile.rocm \ python/pyproject.toml \ python/sglang/version.py \ - docs/developer/setup_github_runner.md \ + docs/references/setup_github_runner.md \ docs/start/install.md \ benchmark/deepseek_v3/README.md diff --git a/benchmark/deepseek_v3/README.md b/benchmark/deepseek_v3/README.md index 271de6736..9fce42af6 100644 --- a/benchmark/deepseek_v3/README.md +++ b/benchmark/deepseek_v3/README.md @@ -33,7 +33,7 @@ Add [performance optimization options](#performance-optimization-options) as nee ```bash # Installation -pip install "sglang[all]>=0.4.6.post5" +pip install "sglang[all]>=0.4.7" # Launch python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-V3 --tp 8 --trust-remote-code diff --git a/docker/Dockerfile b/docker/Dockerfile index ab1b5c664..b60ca59a4 100644 --- a/docker/Dockerfile +++ b/docker/Dockerfile @@ -37,9 +37,13 @@ RUN python3 -m pip install --upgrade pip setuptools wheel html5lib six \ else \ echo "Unsupported CUDA version: $CUDA_VERSION" && exit 1; \ fi \ - && python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX} \ + && if [ "$CUDA_VERSION" = "12.4.1" ]; then \ + python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu126; \ + else \ + python3 -m pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cu${CUINDEX}; \ + fi \ && cd sglang \ - && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" --find-links https://flashinfer.ai/whl/cu${CUINDEX}/torch2.6/flashinfer-python \ + && python3 -m pip --no-cache-dir install -e "python[${BUILD_TYPE}]" \ && if [ "$CUDA_VERSION" = "12.8.1" ]; then \ python3 -m pip install nvidia-nccl-cu12==2.26.2.post1 --force-reinstall --no-deps; \ fi diff --git a/docker/Dockerfile.rocm b/docker/Dockerfile.rocm index ae0ef68ff..c9d233f9c 100644 --- a/docker/Dockerfile.rocm +++ b/docker/Dockerfile.rocm @@ -1,5 +1,5 @@ # Usage (to build SGLang ROCm docker image): -# docker build --build-arg SGL_BRANCH=v0.4.6.post5 -t v0.4.6.post5-rocm630 -f Dockerfile.rocm . +# docker build --build-arg SGL_BRANCH=v0.4.7 -t v0.4.7-rocm630 -f Dockerfile.rocm . # default base image ARG BASE_IMAGE="rocm/sgl-dev:vllm20250114" diff --git a/docs/references/setup_github_runner.md b/docs/references/setup_github_runner.md index ac5f9160b..2f78abe4f 100644 --- a/docs/references/setup_github_runner.md +++ b/docs/references/setup_github_runner.md @@ -11,9 +11,9 @@ docker pull nvidia/cuda:12.1.1-devel-ubuntu22.04 # Nvidia docker run --shm-size 128g -it -v /tmp/huggingface:/hf_home --gpus all nvidia/cuda:12.1.1-devel-ubuntu22.04 /bin/bash # AMD -docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.4.6.post5-rocm630 /bin/bash +docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.4.7-rocm630 /bin/bash # AMD just the last 2 GPUs -docker run --rm --device=/dev/kfd --device=/dev/dri/renderD176 --device=/dev/dri/renderD184 --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.4.6.post5-rocm630 /bin/bash +docker run --rm --device=/dev/kfd --device=/dev/dri/renderD176 --device=/dev/dri/renderD184 --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.4.7-rocm630 /bin/bash ``` ### Step 2: Configure the runner by `config.sh` diff --git a/docs/start/install.md b/docs/start/install.md index 82af7a92c..f01224bf4 100644 --- a/docs/start/install.md +++ b/docs/start/install.md @@ -11,7 +11,7 @@ It is recommended to use uv to install the dependencies for faster installation: ```bash pip install --upgrade pip pip install uv -uv pip install "sglang[all]>=0.4.6.post5" +uv pip install "sglang[all]>=0.4.7" ``` **Quick Fixes to Common Problems** @@ -27,7 +27,7 @@ uv pip install "sglang[all]>=0.4.6.post5" ```bash # Use the last release branch -git clone -b v0.4.6.post5 https://github.com/sgl-project/sglang.git +git clone -b v0.4.7 https://github.com/sgl-project/sglang.git cd sglang pip install --upgrade pip @@ -42,7 +42,7 @@ Note: For AMD ROCm system with Instinct/MI GPUs, do following instead: ```bash # Use the last release branch -git clone -b v0.4.6.post5 https://github.com/sgl-project/sglang.git +git clone -b v0.4.7 https://github.com/sgl-project/sglang.git cd sglang pip install --upgrade pip @@ -71,7 +71,7 @@ docker run --gpus all \ Note: For AMD ROCm system with Instinct/MI GPUs, it is recommended to use `docker/Dockerfile.rocm` to build images, example and usage as below: ```bash -docker build --build-arg SGL_BRANCH=v0.4.6.post5 -t v0.4.6.post5-rocm630 -f Dockerfile.rocm . +docker build --build-arg SGL_BRANCH=v0.4.7 -t v0.4.7-rocm630 -f Dockerfile.rocm . alias drun='docker run -it --rm --network=host --device=/dev/kfd --device=/dev/dri --ipc=host \ --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \ @@ -80,11 +80,11 @@ alias drun='docker run -it --rm --network=host --device=/dev/kfd --device=/dev/d drun -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=" \ - v0.4.6.post5-rocm630 \ + v0.4.7-rocm630 \ python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --host 0.0.0.0 --port 30000 # Till flashinfer backend available, --attention-backend triton --sampling-backend pytorch are set by default -drun v0.4.6.post5-rocm630 python3 -m sglang.bench_one_batch --batch-size 32 --input 1024 --output 128 --model amd/Meta-Llama-3.1-8B-Instruct-FP8-KV --tp 8 --quantization fp8 +drun v0.4.7-rocm630 python3 -m sglang.bench_one_batch --batch-size 32 --input 1024 --output 128 --model amd/Meta-Llama-3.1-8B-Instruct-FP8-KV --tp 8 --quantization fp8 ``` ## Method 4: Using docker compose diff --git a/python/pyproject.toml b/python/pyproject.toml index 380e1defb..b45d75e53 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "sglang" -version = "0.4.6.post5" +version = "0.4.7" description = "SGLang is yet another fast serving framework for large language models and vision language models." readme = "README.md" requires-python = ">=3.8" diff --git a/python/sglang/version.py b/python/sglang/version.py index 42068c7a9..a34b2f6b0 100644 --- a/python/sglang/version.py +++ b/python/sglang/version.py @@ -1 +1 @@ -__version__ = "0.4.6.post5" +__version__ = "0.4.7"