diff --git a/doc/Install_CN.md b/doc/Install_CN.md index 3be6bee69e50f68f6f72857e8a6d902da8e6ce25..8648d26d42a88859e5744badc74629b92f395da1 100644 --- a/doc/Install_CN.md +++ b/doc/Install_CN.md @@ -63,7 +63,7 @@ pip3 install -r python/requirements.txt pip3 install paddle-serving-client==0.7.0 pip3 install paddle-serving-server==0.7.0 # CPU pip3 install paddle-serving-app==0.7.0 -pip3 install paddle-serving-server-gpu==0.7.0.post102 #GPU with CUDA10.2 + TensorRT6 +pip3 install paddle-serving-server-gpu==0.7.0.post102 #GPU with CUDA10.2 + Cudnn7 + TensorRT6 # 其他GPU环境需要确认环境再选择执行哪一条 pip3 install paddle-serving-server-gpu==0.7.0.post101 # GPU with CUDA10.1 + TensorRT6 pip3 install paddle-serving-server-gpu==0.7.0.post112 # GPU with CUDA11.2 + TensorRT8 @@ -88,7 +88,21 @@ pip3 install paddlepaddle==2.2.0 # GPU Cuda10.2环境请执行 pip3 install paddlepaddle-gpu==2.2.0 ``` -**注意**： 如果您的Cuda版本不是10.2，请勿直接执行上述命令，需要参考[Paddle-Inference官方文档-下载安装Linux预测库](https://paddleinference.paddlepaddle.org.cn/master/user_guides/download_lib.html#python)选择相应的GPU环境的url链接并进行安装。 +**注意**： 如果您的Cuda版本不是10.2，或者您需要在GPU环境上使用TensorRT，请勿直接执行上述命令，需要参考[Paddle-Inference官方文档-下载安装Linux预测库](https://paddleinference.paddlepaddle.org.cn/master/user_guides/download_lib.html#python)选择相应的GPU环境的url链接并进行安装。举例假设您使用python3.6，请执行如下命令。 + +``` +# Cuda10.1 + Cudnn7 + TensorRT6 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddlepaddle_gpu-2.2.0.post101-cp36-cp36m-linux_x86_64.whl + +# Cuda10.2 + Cudnn7 + TensorRT6, 需要注意的是此环境和Cuda10.1+Cudnn7+TensorRT6使用同一个paddle whl包 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddlepaddle_gpu-2.2.0.post101-cp36-cp36m-linux_x86_64.whl + +# Cuda10.2 + Cudnn8 + TensorRT7 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.2_cudnn8.1.1_trt7.2.3.4/paddlepaddle_gpu-2.2.0-cp36-cp36m-linux_x86_64.whl + +# Cuda11.2 + Cudnn8 + TensorRT8 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda11.2_cudnn8.2.1_trt8.0.3.4/paddlepaddle_gpu-2.2.0.post112-cp36-cp36m-linux_x86_64.whl +``` 例如Cuda 10.1的Python3.6用户，请选择表格当中的`cp36-cp36m`和`linux-cuda10.1-cudnn7.6-trt6-gcc8.2`对应的url，复制下来并执行 ``` diff --git a/doc/Install_EN.md b/doc/Install_EN.md index 1dbf63b8460fe4cc1f19c0262675afb37b9dc3ca..db4fbe211a50c9a4219d4d4e36c51f54c869fc0b 100644 --- a/doc/Install_EN.md +++ b/doc/Install_EN.md @@ -64,7 +64,7 @@ pip3 install -r python/requirements.txt pip3 install paddle-serving-client==0.7.0 pip3 install paddle-serving-server==0.7.0 # CPU pip3 install paddle-serving-app==0.7.0 -pip3 install paddle-serving-server-gpu==0.7.0.post102 #GPU with CUDA10.2 + TensorRT6 +pip3 install paddle-serving-server-gpu==0.7.0.post102 #GPU with CUDA10.2 + Cudnn7 + TensorRT6 # Other GPU environments need to confirm the environment before choosing which one to execute pip3 install paddle-serving-server-gpu==0.7.0.post101 # GPU with CUDA10.1 + TensorRT6 pip3 install paddle-serving-server-gpu==0.7.0.post112 # GPU with CUDA11.2 + TensorRT8 @@ -89,12 +89,22 @@ pip3 install paddlepaddle==2.2.0 # GPU Cuda10.2 environment please execute pip3 install paddlepaddle-gpu==2.2.0 ``` -**Note**: If your Cuda version is not 10.2, please do not execute the above commands directly, you need to refer to [Paddle-Inference official document-download and install the Linux prediction library](https://paddleinference.paddlepaddle.org.cn/master/user_guides/download_lib.html#python) Select the URL link of the corresponding GPU environment and install it. +**Note**: If your Cuda version is not 10.2 or if you want to use TensorRT(Cuda10.2 included), please do not execute the above commands directly, you need to refer to [Paddle-Inference official document-download and install the Linux prediction library](https://paddleinference.paddlepaddle.org.cn/master/user_guides/download_lib.html#python) Select the URL link of the corresponding GPU environment and install it. Assuming that you use Python3.6, please follow the codeblock. -For example, for Python3.6 users of Cuda 10.1, please select the URL corresponding to `cp36-cp36m` and `linux-cuda10.1-cudnn7.6-trt6-gcc8.2` in the table, copy it and execute ``` -pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddlepaddle_gpu-2.2.0.post101 -cp36-cp36m-linux_x86_64.whl +# Cuda10.1 + Cudnn7 + TensorRT6 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddlepaddle_gpu-2.2.0.post101-cp36-cp36m-linux_x86_64.whl + +# Cuda10.2 + Cudnn7 + TensorRT6, Attenton that the paddle whl for this env is same to that of Cuda10.1 + Cudnn7 + TensorRT6 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.1_cudnn7.6.5_trt6.0.1.5/paddlepaddle_gpu-2.2.0.post101-cp36-cp36m-linux_x86_64.whl + +# Cuda10.2 + Cudnn8 + TensorRT7 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda10.2_cudnn8.1.1_trt7.2.3.4/paddlepaddle_gpu-2.2.0-cp36-cp36m-linux_x86_64.whl + +# Cuda11.2 + Cudnn8 + TensorRT8 +pip3 install https://paddle-inference-lib.bj.bcebos.com/2.2.0/python/Linux/GPU/x86-64_gcc8.2_avx_mkl_cuda11.2_cudnn8.2.1_trt8.0.3.4/paddlepaddle_gpu-2.2.0.post112-cp36-cp36m-linux_x86_64.whl ``` + ## 4. Supported Docker Images and Instruction