diff --git a/docs/cn/build_and_install/download_prebuilt_libraries.md b/docs/cn/build_and_install/download_prebuilt_libraries.md index c3c733467da..30ad094f977 100755 --- a/docs/cn/build_and_install/download_prebuilt_libraries.md +++ b/docs/cn/build_and_install/download_prebuilt_libraries.md @@ -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 ``` @@ -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） @@ -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 ``` @@ -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 diff --git a/docs/en/build_and_install/download_prebuilt_libraries.md b/docs/en/build_and_install/download_prebuilt_libraries.md index 19da3ae1018..dc340009523 100644 --- a/docs/en/build_and_install/download_prebuilt_libraries.md +++ b/docs/en/build_and_install/download_prebuilt_libraries.md @@ -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 @@ -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） @@ -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 @@ -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 diff --git a/serving/README.md b/serving/README.md index 51b136045c1..4f7a74da956 100644 --- a/serving/README.md +++ b/serving/README.md @@ -20,7 +20,7 @@ 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 @@ -28,7 +28,7 @@ docker pull registry.baidubce.com/paddlepaddle/fastdeploy:1.0.1-cpu-only-21.10 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: diff --git a/serving/README_CN.md b/serving/README_CN.md index 801be56ea7f..f3f436f641c 100644 --- a/serving/README_CN.md +++ b/serving/README_CN.md @@ -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