From efc52f85e2d5c9b31545d4092f2b361b6ff04d67 Mon Sep 17 00:00:00 2001 From: Yineng Zhang Date: Thu, 26 Dec 2024 07:14:51 +0800 Subject: [PATCH] chore: bump v0.4.1 (#2582) --- docker/Dockerfile.rocm | 2 +- docs/developer/setup_github_runner.md | 4 ++-- docs/start/install.md | 10 +++++----- python/pyproject.toml | 4 ++-- python/sglang/version.py | 2 +- 5 files changed, 11 insertions(+), 11 deletions(-) diff --git a/docker/Dockerfile.rocm b/docker/Dockerfile.rocm index c478aeb046..b7bee5eb21 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=v0.4.0.post2 -t v0.4.0.post2-rocm620 -f Dockerfile.rocm . +# docker build --build-arg SGL_BRANCH=v0.4.1 -t v0.4.1-rocm620 -f Dockerfile.rocm . # default base image ARG BASE_IMAGE="rocm/vllm-dev:20241022" diff --git a/docs/developer/setup_github_runner.md b/docs/developer/setup_github_runner.md index 52f995928a..50831ece43 100644 --- a/docs/developer/setup_github_runner.md +++ b/docs/developer/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:v0.4.0.post2-rocm620 /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:v0.4.1-rocm620 /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:v0.4.0.post2-rocm620 /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:v0.4.1-rocm620 /bin/bash ``` ### Step 2: Configure the runner by `config.sh` diff --git a/docs/start/install.md b/docs/start/install.md index 4b329b5e4a..4a3f0bdc38 100644 --- a/docs/start/install.md +++ b/docs/start/install.md @@ -13,7 +13,7 @@ Note: Please check the [FlashInfer installation doc](https://docs.flashinfer.ai/ ## Method 2: From source ``` # Use the last release branch -git clone -b v0.4.0.post2 https://github.com/sgl-project/sglang.git +git clone -b v0.4.1 https://github.com/sgl-project/sglang.git cd sglang pip install --upgrade pip @@ -26,7 +26,7 @@ Note: To AMD ROCm system with Instinct/MI GPUs, do following instead: ``` # Use the last release branch -git clone -b v0.4.0.post2 https://github.com/sgl-project/sglang.git +git clone -b v0.4.1 https://github.com/sgl-project/sglang.git cd sglang pip install --upgrade pip @@ -51,7 +51,7 @@ docker run --gpus all \ Note: To 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=v0.4.0.post2 -t v0.4.0.post2-rocm620 -f Dockerfile.rocm . +docker build --build-arg SGL_BRANCH=v0.4.1 -t v0.4.1-rocm620 -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 \ @@ -60,11 +60,11 @@ 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=" \ - v0.4.0.post2-rocm620 \ + v0.4.1-rocm620 \ 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 v0.4.0.post2-rocm620 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 v0.4.1-rocm620 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 c8ac5cb441..dc7e2eb21d 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "sglang" -version = "0.4.0.post2" +version = "0.4.1" description = "SGLang is yet another fast serving framework for large language models and vision language models." readme = "README.md" requires-python = ">=3.8" @@ -23,7 +23,7 @@ runtime_common = ["aiohttp", "decord", "fastapi", "psutil", "pydantic", "python-multipart", "pyzmq>=25.1.2", "torchao>=0.7.0", "uvicorn", "uvloop", "xgrammar>=0.1.6"] -srt = ["sglang[runtime_common]", "torch", "vllm>=0.6.3.post1,<=0.6.4.post1", "cuda-python", "flashinfer==0.1.6", "sgl-kernel"] +srt = ["sglang[runtime_common]", "torch", "vllm>=0.6.3.post1,<=0.6.4.post1", "cuda-python", "flashinfer==0.1.6", "sgl-kernel>=0.0.2.post8"] # HIP (Heterogeneous-computing Interface for Portability) for AMD # => base docker rocm/vllm-dev:20241022, not from public vllm whl diff --git a/python/sglang/version.py b/python/sglang/version.py index 280f781b38..3d26edf777 100644 --- a/python/sglang/version.py +++ b/python/sglang/version.py @@ -1 +1 @@ -__version__ = "0.4.0.post2" +__version__ = "0.4.1"