From a129a1407301b41fbf110fc4a38aef10fd2cc1df Mon Sep 17 00:00:00 2001 From: Lyu Han Date: Wed, 7 Aug 2024 11:34:22 +0800 Subject: [PATCH] bump version to v0.5.3 (#2242) --- README.md | 2 +- README_ja.md | 2 +- README_zh-CN.md | 2 +- docs/en/get_started.md | 2 +- docs/en/multi_modal/cogvlm.md | 2 +- docs/zh_cn/get_started.md | 2 +- docs/zh_cn/multi_modal/cogvlm.md | 2 +- lmdeploy/version.py | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index f43d765ed..1feb2bf71 100644 --- a/README.md +++ b/README.md @@ -176,7 +176,7 @@ pip install lmdeploy Since v0.3.0, The default prebuilt package is compiled on **CUDA 12**. However, if CUDA 11+ is required, you can install lmdeploy by: ```shell -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 ``` diff --git a/README_ja.md b/README_ja.md index 4cf67cbd4..9b72b8cde 100644 --- a/README_ja.md +++ b/README_ja.md @@ -177,7 +177,7 @@ pip install lmdeploy v0.3.0以降、デフォルトのプリビルドパッケージは**CUDA 12**でコンパイルされています。ただし、CUDA 11+が必要な場合は、次のコマンドでlmdeployをインストールできます： ```shell -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 ``` diff --git a/README_zh-CN.md b/README_zh-CN.md index c0c3f20f0..5ea1c66ad 100644 --- a/README_zh-CN.md +++ b/README_zh-CN.md @@ -177,7 +177,7 @@ pip install lmdeploy 自 v0.3.0 起，LMDeploy 预编译包默认基于 CUDA 12 编译。如果需要在 CUDA 11+ 下安装 LMDeploy，请执行以下命令： ```shell -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 ``` diff --git a/docs/en/get_started.md b/docs/en/get_started.md index f390cc547..c79a295ea 100644 --- a/docs/en/get_started.md +++ b/docs/en/get_started.md @@ -13,7 +13,7 @@ pip install lmdeploy The default prebuilt package is compiled on **CUDA 12**. However, if CUDA 11+ is required, you can install lmdeploy by: ```shell -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 ``` diff --git a/docs/en/multi_modal/cogvlm.md b/docs/en/multi_modal/cogvlm.md index ad0045da2..256683bcc 100644 --- a/docs/en/multi_modal/cogvlm.md +++ b/docs/en/multi_modal/cogvlm.md @@ -22,7 +22,7 @@ Install LMDeploy with pip (Python 3.8+). Refer to [Installation](https://lmdeplo ```shell # cuda 11.8 # to get the latest version, run: pip index versions lmdeploy -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 # cuda 12.1 diff --git a/docs/zh_cn/get_started.md b/docs/zh_cn/get_started.md index 8577f4834..32e06b6c4 100644 --- a/docs/zh_cn/get_started.md +++ b/docs/zh_cn/get_started.md @@ -13,7 +13,7 @@ pip install lmdeploy LMDeploy的预编译包默认是基于 CUDA 12 编译的。如果需要在 CUDA 11+ 下安装 LMDeploy，请执行以下命令： ```shell -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 ``` diff --git a/docs/zh_cn/multi_modal/cogvlm.md b/docs/zh_cn/multi_modal/cogvlm.md index d932a0831..91ae9a3d4 100644 --- a/docs/zh_cn/multi_modal/cogvlm.md +++ b/docs/zh_cn/multi_modal/cogvlm.md @@ -21,7 +21,7 @@ pip install torch==2.2.2 torchvision==0.17.2 xformers==0.0.26 --index-url https: ```shell # cuda 11.8 -export LMDEPLOY_VERSION=0.5.2 +export LMDEPLOY_VERSION=0.5.3 export PYTHON_VERSION=38 pip install https://github.com/InternLM/lmdeploy/releases/download/v${LMDEPLOY_VERSION}/lmdeploy-${LMDEPLOY_VERSION}+cu118-cp${PYTHON_VERSION}-cp${PYTHON_VERSION}-manylinux2014_x86_64.whl --extra-index-url https://download.pytorch.org/whl/cu118 # cuda 12.1 diff --git a/lmdeploy/version.py b/lmdeploy/version.py index 28e376f14..4315131ff 100644 --- a/lmdeploy/version.py +++ b/lmdeploy/version.py @@ -1,7 +1,7 @@ # Copyright (c) OpenMMLab. All rights reserved. from typing import Tuple -__version__ = '0.5.2.post1' +__version__ = '0.5.3' short_version = __version__