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jiangjiajun merged 1 commit into from
Jan 3, 2023
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fresh doc version release/1.0.2 #1023

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18 changes: 9 additions & 9 deletions docs/cn/build_and_install/download_prebuilt_libraries.md
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Expand Up @@ -22,7 +22,7 @@ FastDeploy提供各平台预编译库，供开发者直接下载安装使用。

### Python安装

Release版本（当前最新1.0.1）安装
Release版本（当前最新1.0.2）安装
```bash
pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
Expand All @@ -43,8 +43,8 @@ Release版本

| 平台 | 文件 | 说明 |
| :--- | :--- | :---- |
| Linux x64 | [fastdeploy-linux-x64-gpu-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-1.0.1.tgz) | g++ 8.2, CUDA 11.2, cuDNN 8.2编译产出 |
| Windows x64 | [fastdeploy-win-x64-gpu-1.0.1.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-1.0.1.zip) | Visual Studio 16 2019, CUDA 11.2, cuDNN 8.2编译产出 |
| Linux x64 | [fastdeploy-linux-x64-gpu-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-1.0.2.tgz) | g++ 8.2, CUDA 11.2, cuDNN 8.2编译产出 |
| Windows x64 | [fastdeploy-win-x64-gpu-1.0.2.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-1.0.2.zip) | Visual Studio 16 2019, CUDA 11.2, cuDNN 8.2编译产出 |

Develop版本（Nightly build）

Expand All @@ -65,7 +65,7 @@ Develop版本（Nightly build）

### Python安装

Release版本（当前最新1.0.1）安装
Release版本（当前最新1.0.2）安装
```bash
pip install fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
```
Expand All @@ -81,11 +81,11 @@ Release版本

| 平台 | 文件 | 说明 |
| :--- | :--- | :---- |
| Linux x64 | [fastdeploy-linux-x64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-1.0.1.tgz) | g++ 8.2编译产出 |
| Windows x64 | [fastdeploy-win-x64-1.0.1.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-1.0.1.zip) | Visual Studio 16 2019编译产出 |
| Mac OSX x64 | [fastdeploy-osx-x86_64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-1.0.1.tgz) | clang++ 10.0.0编译产出|
| Mac OSX arm64 | [fastdeploy-osx-arm64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-1.0.1.tgz) | clang++ 13.0.0编译产出 |
| Linux aarch64 | [fastdeploy-linux-aarch64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-aarch64-1.0.1.tgz) | gcc 6.3编译产出 |
| Linux x64 | [fastdeploy-linux-x64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-1.0.2.tgz) | g++ 8.2编译产出 |
| Windows x64 | [fastdeploy-win-x64-1.0.2.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-1.0.2.zip) | Visual Studio 16 2019编译产出 |
| Mac OSX x64 | [fastdeploy-osx-x86_64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-1.0.2.tgz) | clang++ 10.0.0编译产出|
| Mac OSX arm64 | [fastdeploy-osx-arm64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-1.0.2.tgz) | clang++ 13.0.0编译产出 |
| Linux aarch64 | [fastdeploy-linux-aarch64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-aarch64-1.0.2.tgz) | gcc 6.3编译产出 |
| Android armv7&v8 | [fastdeploy-android-1.0.0-shared.tgz](https://bj.bcebos.com/fastdeploy/release/android/fastdeploy-android-1.0.0-shared.tgz) | NDK 25及clang++编译产出, 支持arm64-v8a及armeabi-v7a |

## Java SDK安装
Expand Down
22 changes: 11 additions & 11 deletions docs/en/build_and_install/download_prebuilt_libraries.md
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Expand Up @@ -23,7 +23,7 @@ FastDeploy supports Computer Vision, Text and NLP model deployment on CPU and Nv

### Python SDK

Install the released version（the newest 1.0.1 for now）
Install the released version（the newest 1.0.2 for now）

```
pip install fastdeploy-gpu-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
Expand All @@ -43,12 +43,12 @@ conda config --add channels conda-forge && conda install cudatoolkit=11.2 cudnn=

### C++ SDK

Install the released version（Latest 1.0.1）
Install the released version（Latest 1.0.2）

| Platform | File | Description |
|:----------- |:--------------------------------------------------------------------------------------------------------------------- |:--------------------------------------------------------- |
| Linux x64 | [fastdeploy-linux-x64-gpu-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-1.0.1.tgz) | g++ 8.2, CUDA 11.2, cuDNN 8.2 |
| Windows x64 | [fastdeploy-win-x64-gpu-1.0.1.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-1.0.1.zip) | Visual Studio 16 2019, CUDA 11.2, cuDNN 8.2 |
| Linux x64 | [fastdeploy-linux-x64-gpu-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-gpu-1.0.2.tgz) | g++ 8.2, CUDA 11.2, cuDNN 8.2 |
| Windows x64 | [fastdeploy-win-x64-gpu-1.0.2.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-gpu-1.0.2.zip) | Visual Studio 16 2019, CUDA 11.2, cuDNN 8.2 |

Install the Develop version（Nightly build）

Expand All @@ -70,7 +70,7 @@ FastDeploy supports computer vision, text and NLP model deployment on CPU with P

### Python SDK

Install the released version（Latest 1.0.1 for now）
Install the released version（Latest 1.0.2 for now）

```
pip install fastdeploy-python -f https://www.paddlepaddle.org.cn/whl/fastdeploy.html
Expand All @@ -84,15 +84,15 @@ pip install fastdeploy-python==0.0.0 -f https://www.paddlepaddle.org.cn/whl/fast

### C++ SDK

Install the released version（Latest 1.0.1 for now, Android is 1.0.1）
Install the released version（Latest 1.0.2 for now, Android is 1.0.0）

| Platform | File | Description |
|:------------- |:--------------------------------------------------------------------------------------------------------------------- |:------------------------------ |
| Linux x64 | [fastdeploy-linux-x64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-1.0.1.tgz) | g++ 8.2 |
| Windows x64 | [fastdeploy-win-x64-1.0.1.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-1.0.1.zip) | Visual Studio 16 2019 |
| Mac OSX x64 | [fastdeploy-osx-x86_64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-1.0.1.tgz) | clang++ 10.0.0|
| Mac OSX arm64 | [fastdeploy-osx-arm64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-1.0.1.tgz) | clang++ 13.0.0 |
| Linux aarch64 | [fastdeploy-osx-arm64-1.0.1.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-aarch64-1.0.1.tgz) | gcc 6.3 |
| Linux x64 | [fastdeploy-linux-x64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-1.0.2.tgz) | g++ 8.2 |
| Windows x64 | [fastdeploy-win-x64-1.0.2.zip](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-win-x64-1.0.2.zip) | Visual Studio 16 2019 |
| Mac OSX x64 | [fastdeploy-osx-x86_64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-x86_64-1.0.2.tgz) | clang++ 10.0.0|
| Mac OSX arm64 | [fastdeploy-osx-arm64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-osx-arm64-1.0.2.tgz) | clang++ 13.0.0 |
| Linux aarch64 | [fastdeploy-osx-arm64-1.0.2.tgz](https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-aarch64-1.0.2.tgz) | gcc 6.3 |
| Android armv7&v8 | [fastdeploy-android-1.0.0-shared.tgz](https://bj.bcebos.com/fastdeploy/release/android/fastdeploy-android-1.0.0-shared.tgz)| NDK 25, clang++, support arm64-v8a and armeabi-v7a |

## Java SDK
Expand Down
4 changes: 2 additions & 2 deletions serving/README.md
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Expand Up @@ -20,15 +20,15 @@ FastDeploy builds an end-to-end serving deployment based on [Triton Inference Se
CPU images only support Paddle/ONNX models for serving deployment on CPUs, and supported inference backends include OpenVINO, Paddle Inference, and ONNX Runtime

```shell
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.1-cpu-only-21.10
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.2-cpu-only-21.10
```

#### GPU Image

GPU images support Paddle/ONNX models for serving deployment on GPU and CPU, and supported inference backends including OpenVINO, TensorRT, Paddle Inference, and ONNX Runtime

```
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.1-gpu-cuda11.4-trt8.4-21.10
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.2-gpu-cuda11.4-trt8.4-21.10
```

Users can also compile the image by themselves according to their own needs, referring to the following documents:
Expand Down
4 changes: 2 additions & 2 deletions serving/README_CN.md
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Expand Up @@ -17,13 +17,13 @@ FastDeploy基于[Triton Inference Server](https://github.com/triton-inference-se
#### CPU镜像
CPU镜像仅支持Paddle/ONNX模型在CPU上进行服务化部署，支持的推理后端包括OpenVINO、Paddle Inference和ONNX Runtime
``` shell
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.1-cpu-only-21.10
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.2-cpu-only-21.10
```

#### GPU镜像
GPU镜像支持Paddle/ONNX模型在GPU/CPU上进行服务化部署，支持的推理后端包括OpenVINO、TensorRT、Paddle Inference和ONNX Runtime
```
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.1-gpu-cuda11.4-trt8.4-21.10
docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.2-gpu-cuda11.4-trt8.4-21.10
```

用户也可根据自身需求，参考如下文档自行编译镜像
Expand Down