未验证 提交 8122763b 编写于 作者: T tianshuo78520a 提交者: GitHub

update install doc for 1.8.3 (#2294)

上级 05bc97a1
......@@ -5,106 +5,106 @@
<p align="center">
<table>
<thead>
<tr>
<th> 依赖包名称 </th>
<th> 版本 </th>
<th> 说明 </th>
<th> 安装命令 </th>
</tr>
</thead>
<tbody>
<tr>
<td> CMake </td>
<td> 3.4 </td>
<td> </td>
<td> </td>
</tr>
<tr>
<td> GCC (Linux Only) </td>
<td> 4.8 / 5.4 </td>
<td> 推荐使用CentOS的devtools2 </td>
<td> </td>
</tr>
<tr>
<td> Clang (MacOS Only) </td>
<td> 9.0及以上 </td>
<td> 通常使用MacOS 10.11及以上的系统对应的Clang版本即可 </td>
<td> </td>
</tr>
<tr>
<td> Python(64 bit) </td>
<td> 2.7.x. 或 3.5+.x </td>
<td> 依赖libpython2.7.so 或 libpython3.5+.so </td>
<td> <code> apt install python-dev </code><code> yum install python-devel </code> 如果安装python3请访问<a href="https://www.python.org">Python 官网</a></td>
</tr>
<tr>
<td> SWIG </td>
<td> 最低 2.0 </td>
<td> </td>
<td> <code>apt install swig </code><code> yum install swig </code> </td>
</tr>
<tr>
<td> wget </td>
<td> any </td>
<td> </td>
<td> <code> apt install wget </code><code> yum install wget </code> </td>
</tr>
<tr>
<td> openblas </td>
<td> any </td>
<td> 可选 </td>
<td> </td>
</tr>
<tr>
<td> pip </td>
<td> >=9.0.1 </td>
<td> </td>
<td> <code> apt install python-pip </code><code> yum install python-pip </code> </td>
</tr>
<tr>
<td> numpy </td>
<td> >=1.12.0 </td>
<td> </td>
<td> <code> pip install numpy </code> </td>
</tr>
<tr>
<td> protobuf </td>
<td> >=3.1.0 </td>
<td> </td>
<td> <code> pip install protobuf </code> </td>
</tr>
<tr>
<td> wheel </td>
<td> any </td>
<td> </td>
<td> <code> pip install wheel </code> </td>
</tr>
<tr>
<td> patchELF </td>
<td> any </td>
<td> </td>
<td> <code> apt install patchelf </code> 或参见github <a href="https://gist.github.com/ruario/80fefd174b3395d34c14">patchELF 官方文档</a></td>
</tr>
<tr>
<td> go </td>
<td> >=1.8 </td>
<td> 可选 </td>
<td> </td>
</tr>
<tr>
<td> setuptools </td>
<td> >= 28.0.0 </td>
<td> </td>
<td> </td>
</tr>
<tr>
<td> unrar </td>
<td> </td>
<td> </td>
<td> brew install unrar (For MacOS), apt-get install unrar (For Ubuntu) </td>
</tr>
</tbody>
<thead>
<tr>
<th> 依赖包名称 </th>
<th> 版本 </th>
<th> 说明 </th>
<th> 安装命令 </th>
</tr>
</thead>
<tbody>
<tr>
<td> CMake </td>
<td> 3.4 </td>
<td> </td>
<td> </td>
</tr>
<tr>
<td> GCC (Linux Only) </td>
<td> 4.8 / 5.4 </td>
<td> 推荐使用CentOS的devtools2 </td>
<td> </td>
</tr>
<tr>
<td> Clang (MacOS Only) </td>
<td> 9.0及以上 </td>
<td> 通常使用MacOS 10.11及以上的系统对应的Clang版本即可 </td>
<td> </td>
</tr>
<tr>
<td> Python(64 bit) </td>
<td> 2.7.x. 或 3.5+.x </td>
<td> 依赖libpython2.7.so 或 libpython3.5+.so </td>
<td> <code> apt install python-dev </code><code> yum install python-devel </code> 如果安装python3请访问<a href="https://www.python.org">Python 官网</a></td>
</tr>
<tr>
<td> SWIG </td>
<td> 最低 2.0 </td>
<td> </td>
<td> <code>apt install swig </code><code> yum install swig </code> </td>
</tr>
<tr>
<td> wget </td>
<td> any </td>
<td> </td>
<td> <code> apt install wget </code><code> yum install wget </code> </td>
</tr>
<tr>
<td> openblas </td>
<td> any </td>
<td> 可选 </td>
<td> </td>
</tr>
<tr>
<td> pip </td>
<td> >=9.0.1 </td>
<td> </td>
<td> <code> apt install python-pip </code><code> yum install python-pip </code> </td>
</tr>
<tr>
<td> numpy </td>
<td> >=1.12.0 </td>
<td> </td>
<td> <code> pip install numpy </code> </td>
</tr>
<tr>
<td> protobuf </td>
<td> >=3.1.0 </td>
<td> </td>
<td> <code> pip install protobuf </code> </td>
</tr>
<tr>
<td> wheel </td>
<td> any </td>
<td> </td>
<td> <code> pip install wheel </code> </td>
</tr>
<tr>
<td> patchELF </td>
<td> any </td>
<td> </td>
<td> <code> apt install patchelf </code> 或参见github <a href="https://gist.github.com/ruario/80fefd174b3395d34c14">patchELF 官方文档</a></td>
</tr>
<tr>
<td> go </td>
<td> >=1.8 </td>
<td> 可选 </td>
<td> </td>
</tr>
<tr>
<td> setuptools </td>
<td> >= 28.0.0 </td>
<td> </td>
<td> </td>
</tr>
<tr>
<td> unrar </td>
<td> </td>
<td> </td>
<td> brew install unrar (For MacOS), apt-get install unrar (For Ubuntu) </td>
</tr>
</tbody>
</table>
</p>
......@@ -115,76 +115,76 @@
<p align="center">
<table>
<thead>
<tr>
<th> 选项 </th>
<th> 说明 </th>
<th> 默认值 </th>
</tr>
</thead>
<tbody>
<tr>
<td> WITH_GPU </td>
<td> 是否支持GPU </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_DSO </td>
<td> 是否运行时动态加载CUDA动态库,而非静态加载CUDA动态库 </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_AVX </td>
<td> 是否编译含有AVX指令集的PaddlePaddle二进制文件 </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_PYTHON </td>
<td> 是否内嵌PYTHON解释器 </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_TESTING </td>
<td> 是否开启单元测试 </td>
<td> OFF </td>
</tr>
<tr>
<td> WITH_MKL </td>
<td> 是否使用MKL数学库,如果为否则是用OpenBLAS </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_SYSTEM_BLAS </td>
<td> 是否使用系统自带的BLAS </td>
<td> OFF </td>
</tr>
<tr>
<td> WITH_DISTRIBUTE </td>
<td> 是否编译带有分布式的版本 </td>
<td> OFF </td>
</tr>
<tr>
<td> WITH_BRPC_RDMA </td>
<td> 是否使用BRPC RDMA作为RPC协议 </td>
<td> OFF </td>
</tr>
<tr>
<td> ON_INFER </td>
<td> 是否打开预测优化 </td>
<td> OFF </td>
</tr>
<tr>
<tr>
<td> CUDA_ARCH_NAME </td>
<td> 是否只针对当前CUDA架构编译 </td>
<td> All:编译所有可支持的CUDA架构 可选:Auto 自动识别当前环境的架构编译 </td>
</tr>
<tr>
<tr>
<td> TENSORRT_ROOT </td>
<td> 指定TensorRT路径 </td>
<td> Windows下默认值为'/',Linux下默认值为 '/usr/' </td>
</tr>
<thead>
<tr>
<th> 选项 </th>
<th> 说明 </th>
<th> 默认值 </th>
</tr>
</thead>
<tbody>
<tr>
<td> WITH_GPU </td>
<td> 是否支持GPU </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_DSO </td>
<td> 是否运行时动态加载CUDA动态库,而非静态加载CUDA动态库 </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_AVX </td>
<td> 是否编译含有AVX指令集的PaddlePaddle二进制文件 </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_PYTHON </td>
<td> 是否内嵌PYTHON解释器 </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_TESTING </td>
<td> 是否开启单元测试 </td>
<td> OFF </td>
</tr>
<tr>
<td> WITH_MKL </td>
<td> 是否使用MKL数学库,如果为否则是用OpenBLAS </td>
<td> ON </td>
</tr>
<tr>
<td> WITH_SYSTEM_BLAS </td>
<td> 是否使用系统自带的BLAS </td>
<td> OFF </td>
</tr>
<tr>
<td> WITH_DISTRIBUTE </td>
<td> 是否编译带有分布式的版本 </td>
<td> OFF </td>
</tr>
<tr>
<td> WITH_BRPC_RDMA </td>
<td> 是否使用BRPC RDMA作为RPC协议 </td>
<td> OFF </td>
</tr>
<tr>
<td> ON_INFER </td>
<td> 是否打开预测优化 </td>
<td> OFF </td>
</tr>
<tr>
<tr>
<td> CUDA_ARCH_NAME </td>
<td> 是否只针对当前CUDA架构编译 </td>
<td> All:编译所有可支持的CUDA架构 可选:Auto 自动识别当前环境的架构编译 </td>
</tr>
<tr>
<tr>
<td> TENSORRT_ROOT </td>
<td> 指定TensorRT路径 </td>
<td> Windows下默认值为'/',Linux下默认值为 '/usr/' </td>
</tr>
</tbody>
</table>
</p>
......@@ -220,25 +220,25 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
<p align="center">
<table>
<thead>
<tr>
<th> 版本号 </th>
<th> 版本说明 </th>
</tr>
</thead>
<tbody>
<tr>
<td> paddlepaddle==[版本号] 例如 paddlepaddle==1.8.2 </td>
<td> 只支持CPU对应版本的PaddlePaddle,具体版本请参见<a href=https://pypi.org/project/paddlepaddle/#history>Pypi</a> </td>
</tr>
<tr>
<td> paddlepaddle-gpu==[版本号] 例如 paddlepaddle-gpu==1.8.2 </td>
<td> 默认安装支持CUDA 10.0和cuDNN 7的对应[版本号]的PaddlePaddle安装包 </td>
</tr>
<tr>
<td> paddlepaddle-gpu==[版本号].postXX 例如 paddlepaddle-gpu==1.8.2.post97 </td>
<td> 支持CUDA 9.0和cuDNN 7的对应PaddlePaddle版本的安装包</td>
</tr>
<thead>
<tr>
<th> 版本号 </th>
<th> 版本说明 </th>
</tr>
</thead>
<tbody>
<tr>
<td> paddlepaddle==[版本号] 例如 paddlepaddle==1.8.3 </td>
<td> 只支持CPU对应版本的PaddlePaddle,具体版本请参见<a href=https://pypi.org/project/paddlepaddle/#history>Pypi</a> </td>
</tr>
<tr>
<td> paddlepaddle-gpu==[版本号] 例如 paddlepaddle-gpu==1.8.3 </td>
<td> 默认安装支持CUDA 10.0和cuDNN 7的对应[版本号]的PaddlePaddle安装包 </td>
</tr>
<tr>
<td> paddlepaddle-gpu==[版本号].postXX 例如 paddlepaddle-gpu==1.8.3.post97 </td>
<td> 支持CUDA 9.0和cuDNN 7的对应PaddlePaddle版本的安装包</td>
</tr>
</tbody>
</table>
</p>
......@@ -255,140 +255,140 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
<p align="center">
<table>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10_cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> win_cpu_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda10_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cpu_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> mac_cpu </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp37-cp37m-macosx_10_6_intel.whl</a></td>
</tr>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10_cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> win_cpu_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda10_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cpu_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> mac_cpu </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp37-cp37m-macosx_10_6_intel.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -437,68 +437,68 @@ platform tag: 类似 'linux_x86_64', 'any'
## **多版本whl包列表-dev**
<p align="center">
<table>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -509,30 +509,30 @@ platform tag: 类似 'linux_x86_64', 'any'
## **多版本whl包列表(gcc8.2)-develop**
<p align="center">
<table>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -543,30 +543,30 @@ platform tag: 类似 'linux_x86_64', 'any'
## **多版本whl包列表(gcc8.2)-release**
<p align="center">
<table>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -638,4 +638,3 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note
export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
docker run ${CUDA_SO} \
${DEVICES} -it hub.baidubce.com/paddlepaddle/paddle:latest-gpu
......@@ -28,10 +28,10 @@
<td> </td>
</tr>
<tr>
<td> Clang (MacOS Only) </td>
<td> 9.0 and above </td>
<td> Usually use the clang version of MacOS 10.11 and above </td>
<td> </td>
<td> Clang (MacOS Only) </td>
<td> 9.0 and above </td>
<td> Usually use the clang version of MacOS 10.11 and above </td>
<td> </td>
</tr>
<tr>
<td> Python(64 bit) </td>
......@@ -94,17 +94,17 @@
<td> </td>
</tr>
<tr>
<td> setuptools </td>
<td> >= 28.0.0 </td>
<td> </td>
<td> </td>
<td> setuptools </td>
<td> >= 28.0.0 </td>
<td> </td>
<td> </td>
</tr>
<tr>
<td> unrar </td>
<td> </td>
<td> </td>
<td> brew install unrar (For MacOS), apt-get install unrar (For Ubuntu) </td>
</tr>
<td> unrar </td>
<td> </td>
<td> </td>
<td> brew install unrar (For MacOS), apt-get install unrar (For Ubuntu) </td>
</tr>
</tbody>
</table>
</p>
......@@ -225,15 +225,15 @@ PaddePaddle implements references to various BLAS/CUDA/cuDNN libraries by specif
</thead>
<tbody>
<tr>
<td> paddlepaddle==[version code] such as paddlepaddle==1.8.2 </td>
<td> paddlepaddle==[version code] such as paddlepaddle==1.8.3 </td>
<td> Only support the corresponding version of the CPU PaddlePaddle, please refer to <a href=https://pypi.org/project/paddlepaddle/#history>Pypi</a> for the specific version. </td>
</tr>
<tr>
<td> paddlepaddle-gpu==[version code], such as paddlepaddle-gpu==1.8.2 </td>
<td> paddlepaddle-gpu==[version code], such as paddlepaddle-gpu==1.8.3 </td>
<td> The default installation supports the PaddlePaddle installation package corresponding to [version number] of CUDA 10.0 and cuDNN 7 </td>
</tr>
<tr>
<td> paddlepaddle-gpu==[version code].postXX, such as paddlepaddle-gpu==1.8.2.post97 </td>
<td> paddlepaddle-gpu==[version code].postXX, such as paddlepaddle-gpu==1.8.3.post97 </td>
<td> Installation package supporting the corresponding PaddlePaddle version of CUDA 9.0 and cuDNN 7 </td>
</tr>
</tbody>
......@@ -266,128 +266,128 @@ Please note that: in the commands, <code> paddlepaddle-gpu </code> will install
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mkl/paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-openblas/paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10_cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.2.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> win_cpu_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda10_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-mkl/paddlepaddle_gpu-1.8.2.post107-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cpu_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2/win-open/paddlepaddle_gpu-1.8.2.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> mac_cpu </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-cpu-mac/paddlepaddle-1.8.2-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.8.2-cp37-cp37m-macosx_10_6_intel.whl</a></td>
</tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mkl/paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-openblas/paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post97-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10_cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-1.8.3.post107-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> win_cpu_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda10_cudnn7_mkl </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-mkl/paddlepaddle_gpu-1.8.3.post107-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cpu_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl">
paddlepaddle-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl">
paddlepaddle-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl">
paddlepaddle-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl">
paddlepaddle-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> win_cuda9_cudnn7_openblas </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp27-cp27m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp35-cp35m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp36-cp36m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-win_amd64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3/win-open/paddlepaddle_gpu-1.8.3.post97-cp37-cp37m-win_amd64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-win_amd64.whl</a></td>
</tr>
<tr>
<td> mac_cpu </td>
<td> - </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp27-cp27m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp27-cp27m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp35-cp35m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp35-cp35m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp36-cp36m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp36-cp36m-macosx_10_6_intel.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-cpu-mac/paddlepaddle-1.8.3-cp37-cp37m-macosx_10_6_intel.whl">
paddlepaddle-1.8.3-cp37-cp37m-macosx_10_6_intel.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -440,68 +440,68 @@ platform tag: similar to 'linux_x86_64', 'any'
## **Multi-version whl package list - dev**
<p align="center">
<table>
<thead>
<tr>
<th> version number </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<thead>
<tr>
<th> version number </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cpu-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-mkl/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cpu-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-cpu-openblas/paddlepaddle-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-openblas </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-openblas/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda9-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda9-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<tr>
<td> cuda10-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10-cudnn7-mkl/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-latest-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -512,30 +512,30 @@ platform tag: similar to 'linux_x86_64', 'any'
## **Multi-version whl package list(gcc8.2)-develop**
<p align="center">
<table>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<thead>
<tr>
<th> 版本说明 </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/0.0.0-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-0.0.0-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -546,30 +546,30 @@ platform tag: similar to 'linux_x86_64', 'any'
## **Multi-version whl package list(gcc8.2)-release**
<p align="center">
<table>
<thead>
<tr>
<th> version instruction </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.2-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.2-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
<thead>
<tr>
<th> version instruction </th>
<th> cp27-cp27mu </th>
<th> cp27-cp27m </th>
<th> cp35-cp35m </th>
<th> cp36-cp36m </th>
<th> cp37-cp37m </th>
</tr>
</thead>
<tbody>
<tr>
<td> cuda10.1-cudnn7-mkl </td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp35-cp35m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp36-cp36m-linux_x86_64.whl</a></td>
<td> <a href="https://paddle-wheel.bj.bcebos.com/1.8.3-gpu-cuda10.1-cudnn7-mkl_gcc8.2/paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl">
paddlepaddle_gpu-1.8.3-cp37-cp37m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
</p>
......@@ -639,5 +639,3 @@ In order to ensure that the GPU driver works properly in the image, we recommend
export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
docker run ${CUDA_SO} \
${DEVICES} -it hub.baidubce.com/paddlepaddle/paddle:latest-gpu
......@@ -214,20 +214,20 @@
如果您是使用 Python 2,CUDA 9,cuDNN 7.3+,安装GPU版本的命令为:
::
python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://mirror.baidu.com/pypi/simple
python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://mirror.baidu.com/pypi/simple
python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple
python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple
如果您是使用 Python 2,CUDA 10.0,cuDNN 7.3+,安装GPU版本的命令为:
::
python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://mirror.baidu.com/pypi/simple
python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://mirror.baidu.com/pypi/simple
python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple
python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple
如果您是使用 Python 3,请将上述命令中的 **python** 更换为 **python3** 进行安装。
......@@ -430,12 +430,12 @@
(2). 拉取预安装 PaddlePaddle 的镜像:
::
docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2
docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3
(3). 用镜像构建并进入Docker容器:
::
docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2 /bin/bash
docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3 /bin/bash
> --name [Name of container] 设定Docker的名称;
......@@ -443,7 +443,7 @@
> -v 参数用于宿主机与容器里文件共享;其中dir1为宿主机目录,dir2为挂载到容器内部的目录,用户可以通过设定dir1和dir2自定义自己的挂载目录;例如:$PWD:/paddle 指定将宿主机的当前路径(Linux中PWD变量会展开为当前路径的绝对路径)挂载到容器内部的 /paddle 目录;
> hub.baidubce.com/paddlepaddle/paddle:1.8.2 是需要使用的image名称;/bin/bash是在Docker中要执行的命令
> hub.baidubce.com/paddlepaddle/paddle:1.8.3 是需要使用的image名称;/bin/bash是在Docker中要执行的命令
2. **GPU 版本**
......@@ -471,12 +471,12 @@
(2). 拉取支持 CUDA 10.0 , cuDNN 7.3+ 预安装 PaddlePaddle 的镜像:
::
nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7
nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7
(3). 用镜像构建并进入Docker容器:
::
nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 /bin/bash
nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 /bin/bash
> --name [Name of container] 设定Docker的名称;
......@@ -484,7 +484,7 @@
> -v 参数用于宿主机与容器里文件共享;其中dir1为宿主机目录,dir2为挂载到容器内部的目录,用户可以通过设定dir1和dir2自定义自己的挂载目录;例如:$PWD:/paddle 指定将宿主机的当前路径(Linux中PWD变量会展开为当前路径的绝对路径)挂载到容器内部的 /paddle 目录;
> hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 是需要使用的image名称;/bin/bash是在Docker中要执行的命令
> hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 是需要使用的image名称;/bin/bash是在Docker中要执行的命令
或如果您需要支持 **CUDA 9** 的版本,将上述命令的 **cuda10.0** 替换成 **cuda9.0** 即可
......@@ -492,7 +492,7 @@
::
docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.2 /bin/bash
docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.3 /bin/bash
> --name [Name of container] 设定Docker的名称;
......@@ -500,7 +500,7 @@
> -v 参数用于宿主机与容器里文件共享;其中dir1为宿主机目录,dir2为挂载到容器内部的目录,用户可以通过设定dir1和dir2自定义自己的挂载目录;例如:$PWD:/paddle 指定将宿主机的当前路径(Linux中PWD变量会展开为当前路径的绝对路径)挂载到容器内部的 /paddle 目录;
> paddlepaddle/paddle:1.8.2 是需要使用的image名称;/bin/bash是在Docker中要执行的命令
> paddlepaddle/paddle:1.8.3 是需要使用的image名称;/bin/bash是在Docker中要执行的命令
4. 验证安装
......
......@@ -216,20 +216,20 @@ This section describes how to use pip to install.
If you are using Python 2, CUDA 9, cuDNN 7.3+, command to install GPU version:
::
python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://mirror.baidu.com/pypi/simple
python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://mirror.baidu.com/pypi/simple
or
python -m pip install paddlepaddle-gpu==1.8.2.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple
python -m pip install paddlepaddle-gpu==1.8.3.post97 -i https://pypi.tuna.tsinghua.edu.cn/simple
If you are using Python 2, CUDA 10.0, cuDNN 7.3+, command to install GPU version:
::
python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://mirror.baidu.com/pypi/simple
python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://mirror.baidu.com/pypi/simple
or
python -m pip install paddlepaddle-gpu==1.8.2.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple
python -m pip install paddlepaddle-gpu==1.8.3.post107 -i https://pypi.tuna.tsinghua.edu.cn/simple
If you are using Python 3, please change **python** in the above command to **python3** and install.
......@@ -437,12 +437,12 @@ If you want to use `docker <https://www.docker.com>`_ to install PaddlePaddle, y
(2). Pull the image of the preinstalled PaddlePaddle:
::
docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2
docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3
(3). Use the image to build and enter the Docker container:
::
docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2 /bin/bash
docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3 /bin/bash
> --name [Name of container] set the name of Docker;
......@@ -450,7 +450,7 @@ If you want to use `docker <https://www.docker.com>`_ to install PaddlePaddle, y
> -v Parameter is used to share files between the host and the container. dir1 is the host directory and dir2 is the directory mounted inside the container. Users can customize their own mounting directory by setting dir1 and dir2.For example, $PWD:/paddle specifies to mount the current path of the host (PWD variable in Linux will expand to the absolute path of the current path) to the /paddle directory inside the container;
> hub.baidubce.com/paddlepaddle/paddle:1.8.2 is the image name you need to use;/bin/bash is the command to be executed in Docker
> hub.baidubce.com/paddlepaddle/paddle:1.8.3 is the image name you need to use;/bin/bash is the command to be executed in Docker
2. **GPU version**
......@@ -478,12 +478,12 @@ If you want to use `docker <https://www.docker.com>`_ to install PaddlePaddle, y
(2). Pull the image that supports CUDA 10.0, cuDNN 7.3 + pre installed PaddlePaddle:
::
nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7
nvidia-docker pull hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7
(3). Use the image to build and enter the docker container:
::
nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.2-gpu-cuda10.0-cudnn7 /bin/bash
nvidia-docker run --name paddle -it -v dir1:dir2 hub.baidubce.com/paddlepaddle/paddle:1.8.3-gpu-cuda10.0-cudnn7 /bin/bash
> --name [Name of container] set name of Docker;
......@@ -491,7 +491,7 @@ If you want to use `docker <https://www.docker.com>`_ to install PaddlePaddle, y
> -v Parameter is used to share files between the host and the container. dir1 is the host directory and dir2 is the directory mounted inside the container. Users can customize their own mounting directory by setting dir1 and dir2.For example, $PWD:/paddle specifies to mount the current path of the host (PWD variable in Linux will expand to the absolute path of the current path) to the /paddle directory inside the container;
> hub.baidubce.com/paddlepaddle/paddle:1.8.2 is the image name you need to use;/bin/bash is the command to be executed in Docker
> hub.baidubce.com/paddlepaddle/paddle:1.8.3 is the image name you need to use;/bin/bash is the command to be executed in Docker
Or if you need the version supporting **CUDA 9**, replace **cuda10.0** of the above command with **cuda9.0**
......@@ -499,7 +499,7 @@ If you want to use `docker <https://www.docker.com>`_ to install PaddlePaddle, y
::
docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.2 /bin/bash
docker run --name paddle -it -v dir1:dir2 paddlepaddle/paddle:1.8.3 /bin/bash
> --name [Name of container] set name of Docker;
......@@ -507,7 +507,7 @@ If you want to use `docker <https://www.docker.com>`_ to install PaddlePaddle, y
> -v Parameter is used to share files between the host and the container. dir1 is the host directory and dir2 is the directory mounted inside the container. Users can customize their own mounting directory by setting dir1 and dir2.For example, $PWD:/paddle specifies to mount the current path of the host (PWD variable in Linux will expand to the absolute path of the current path) to the /paddle directory inside the container;
> paddlepaddle/paddle:1.8.2 is the image name you need to use;/bin/bash is the command to be executed in docker
> paddlepaddle/paddle:1.8.3 is the image name you need to use;/bin/bash is the command to be executed in docker
4. Verify installation
......
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