提交 85618881 编写于 作者: Y Yancey1989

update

上级 f27ec30e
......@@ -390,13 +390,13 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
<td> <a href="http://paddle-wheel.bj.bcebos.com/latest-cpu-avx-openblas/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl">
paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td> <a href="http://paddle-wheel.bj.bcebos.com/latest-cpu-avx-openblas/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td> <a href="#">None</a></td>
<td> None </td>
</tr>
<tr>
<td> cpu_noavx_openblas </td>
<td> <a href="http://paddle-wheel.bj.bcebos.com/latest-cpu-noavx-openblas/paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a href="http://paddle-wheel.bj.bcebos.com/latest-cpu-noavx-openblas/paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl"> paddlepaddle-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a href="#">None</a></td>
<td> None </td>
</tr>
<tr>
<td> cuda8.0_cudnn5_avx_mkl </td>
......@@ -413,8 +413,8 @@ PaddePaddle通过编译时指定路径来实现引用各种BLAS/CUDA/cuDNN库。
<tr>
<td> cuda9.0_cudnn7_avx_mkl </td>
<td> <a href="http://paddle-wheel.bj.bcebos.com/latest-gpu-cuda9-cudnn7-avx-mkl/paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27mu-linux_x86_64.whl</a></td>
<td><a href="http://paddle-wheel.bj.bcebos.com/latest-gpu-cuda8-cudnn7-avx-mkl/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a href="http://paddle-wheel.bj.bcebos.com/latest-gpu-cuda8-cudnn7-avx-mkl/paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
<td><a href="http://paddle-wheel.bj.bcebos.com/latest-gpu-cuda9-cudnn7-avx-mkl/paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp27-cp27m-linux_x86_64.whl</a></td>
<td><a href="http://paddle-wheel.bj.bcebos.com/latest-gpu-cuda9-cudnn7-avx-mkl/paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl"> paddlepaddle_gpu-latest-cp35-cp35m-linux_x86_64.whl</a></td>
</tr>
</tbody>
</table>
......
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