bump version to v0.5.3 (#2242)

InternLM · Aug 7, 2024 · a129a14 · a129a14
1 parent 40fdc77
commit a129a14
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diff --git 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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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
@@ -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__