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chore: bump v0.4.2.post1 (#3233)

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This commit is contained in:
Yineng Zhang
2025-01-31 20:35:55 +08:00
committed by GitHub
parent b49d6d0fee
commit cf0f7eafe6
5 changed files with 10 additions and 10 deletions
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2
docker/Dockerfile.rocm
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@@ -1,5 +1,5 @@
# Usage (to build SGLang ROCm docker image): # Usage (to build SGLang ROCm docker image):
# docker build --build-arg SGL_BRANCH=v0.4.2 -t v0.4.2-rocm620 -f Dockerfile.rocm . # docker build --build-arg SGL_BRANCH=v0.4.2.post1 -t v0.4.2.post1-rocm620 -f Dockerfile.rocm .
# default base image # default base image
ARG BASE_IMAGE="rocmshared/vllm-rocm:20250114-tuned-elementwise-layernorm" ARG BASE_IMAGE="rocmshared/vllm-rocm:20250114-tuned-elementwise-layernorm"

4
docs/developer/setup_github_runner.md
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@@ -11,9 +11,9 @@ docker pull nvidia/cuda:12.1.1-devel-ubuntu22.04
# Nvidia # Nvidia
docker run --shm-size 128g -it -v /tmp/huggingface:/hf_home --gpus all nvidia/cuda:12.1.1-devel-ubuntu22.04 /bin/bash docker run --shm-size 128g -it -v /tmp/huggingface:/hf_home --gpus all nvidia/cuda:12.1.1-devel-ubuntu22.04 /bin/bash
# AMD # AMD
docker run --rm --device=/dev/kfd --device=/dev/dri --group-add video --shm-size 128g -it -v /tmp/huggingface:/hf_home lmsysorg/sglang:v0.4.2-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:v0.4.2.post1-rocm620 /bin/bash
# AMD just the last 2 GPUs # 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:v0.4.2-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:v0.4.2.post1-rocm620 /bin/bash
``` ```
### Step 2: Configure the runner by `config.sh` ### Step 2: Configure the runner by `config.sh`

10
docs/start/install.md
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@@ -14,7 +14,7 @@ Note: Please check the [FlashInfer installation doc](https://docs.flashinfer.ai/
## Method 2: From source ## Method 2: From source
``` ```
# Use the last release branch # Use the last release branch
git clone -b v0.4.2 https://github.com/sgl-project/sglang.git git clone -b v0.4.2.post1 https://github.com/sgl-project/sglang.git
cd sglang cd sglang
pip install --upgrade pip pip install --upgrade pip
@@ -28,7 +28,7 @@ Note: To AMD ROCm system with Instinct/MI GPUs, do following instead:
``` ```
# Use the last release branch # Use the last release branch
git clone -b v0.4.2 https://github.com/sgl-project/sglang.git git clone -b v0.4.2.post1 https://github.com/sgl-project/sglang.git
cd sglang cd sglang
pip install --upgrade pip pip install --upgrade pip
@@ -54,7 +54,7 @@ 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: 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 ```bash
docker build --build-arg SGL_BRANCH=v0.4.2 -t v0.4.2-rocm620 -f Dockerfile.rocm . docker build --build-arg SGL_BRANCH=v0.4.2.post1 -t v0.4.2.post1-rocm620 -f Dockerfile.rocm .
alias drun='docker run -it --rm --network=host --device=/dev/kfd --device=/dev/dri --ipc=host \ 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 \ --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined \
@@ -63,11 +63,11 @@ alias drun='docker run -it --rm --network=host --device=/dev/kfd --device=/dev/d
drun -p 30000:30000 \ drun -p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \ -v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \ --env "HF_TOKEN=<secret>" \
v0.4.2-rocm620 \ v0.4.2.post1-rocm620 \
python3 -m sglang.launch_server --model-path meta-llama/Llama-3.1-8B-Instruct --host 0.0.0.0 --port 30000 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 # Till flashinfer backend available, --attention-backend triton --sampling-backend pytorch are set by default
drun v0.4.2-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 v0.4.2.post1-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 ## Method 4: Using docker compose

2
python/pyproject.toml
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@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
[project] [project]
name = "sglang" name = "sglang"
version = "0.4.2" version = "0.4.2.post1"
description = "SGLang is yet another fast serving framework for large language models and vision language models." description = "SGLang is yet another fast serving framework for large language models and vision language models."
readme = "README.md" readme = "README.md"
requires-python = ">=3.8" requires-python = ">=3.8"

2
python/sglang/version.py
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@@ -1 +1 @@
__version__ = "0.4.2" __version__ = "0.4.2.post1"