diff --git a/develop/doc/_sources/getstarted/build_and_install/docker_install_en.rst.txt b/develop/doc/_sources/getstarted/build_and_install/docker_install_en.rst.txt index d7acc7aeb744b19d83acb520d07c8551168dd096..5a46c598f2248c7912169a9e77b16851230c1d2e 100644 --- a/develop/doc/_sources/getstarted/build_and_install/docker_install_en.rst.txt +++ b/develop/doc/_sources/getstarted/build_and_install/docker_install_en.rst.txt @@ -122,7 +122,7 @@ GPU driver installed before move on. .. code-block:: bash - nvidia-docker run -it -v $PWD:/work paddledev/paddle:latest-gpu /bin/bash + nvidia-docker run -it -v $PWD:/work paddlepaddle/paddle:latest-gpu /bin/bash **NOTE: If you don't have nvidia-docker installed, try the following method to mount CUDA libs and devices into the container.** @@ -130,7 +130,7 @@ GPU driver installed before move on. export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')" export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}') - docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:latest-gpu + docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu **About AVX:** diff --git a/develop/doc/getstarted/build_and_install/docker_install_en.html b/develop/doc/getstarted/build_and_install/docker_install_en.html index f90b10a756fd9692e49eb07bc3547cdf46bbf555..db50f974e6630da9a5a3d508054e16577eab2fdf 100644 --- a/develop/doc/getstarted/build_and_install/docker_install_en.html +++ b/develop/doc/getstarted/build_and_install/docker_install_en.html @@ -310,7 +310,7 @@ dig deeper into deep learning, PaddlePaddle Book definitely is your best choice. to run GPU training jobs. Please ensure you have latest GPU driver installed before move on.

-
nvidia-docker run -it -v $PWD:/work paddledev/paddle:latest-gpu /bin/bash
+
nvidia-docker run -it -v $PWD:/work paddlepaddle/paddle:latest-gpu /bin/bash
@@ -318,7 +318,7 @@ GPU driver installed before move on.

export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')"
 export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
-docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:latest-gpu
+docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu
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\ No newline at end of file diff --git a/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt b/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt index f1677e216f31d79b53ac29a0afbf6fbb886a0dcd..a2bdeead7841393fdfe90c78e5b91d9e61678a24 100644 --- a/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt +++ b/develop/doc_cn/_sources/faq/build_and_install/index_cn.rst.txt @@ -14,7 +14,7 @@ $ export CUDA_SO="$(\ls usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')" $ export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}') - $ docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddlepaddle:latest-gpu + $ docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu 更多关于Docker的安装与使用, 请参考 `PaddlePaddle Docker 文档 `_ 。 diff --git a/develop/doc_cn/_sources/getstarted/build_and_install/docker_install_cn.rst.txt b/develop/doc_cn/_sources/getstarted/build_and_install/docker_install_cn.rst.txt index f78b1fb0e11aa028a4b7abb5270740b97f8039e9..1eb06e4182d40c3be20d71e37b34009905eaf9d6 100644 --- a/develop/doc_cn/_sources/getstarted/build_and_install/docker_install_cn.rst.txt +++ b/develop/doc_cn/_sources/getstarted/build_and_install/docker_install_cn.rst.txt @@ -114,7 +114,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note .. code-block:: bash - nvidia-docker run -it -v $PWD:/work paddledev/paddle:latest-gpu /bin/bash + nvidia-docker run -it -v $PWD:/work paddlepaddle/paddle:latest-gpu /bin/bash **注: 如果没有安装nvidia-docker，可以尝试以下的方法，将CUDA库和Linux设备挂载到Docker容器内：** @@ -122,7 +122,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')" export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}') - docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:latest-gpu + docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu **关于AVX：** diff --git a/develop/doc_cn/faq/build_and_install/index_cn.html b/develop/doc_cn/faq/build_and_install/index_cn.html index 561a9274a0880aeda067f76d69f04e922e300ac3..926767adf1f3e22d1f362572749a3a6652122a1d 100644 --- a/develop/doc_cn/faq/build_and_install/index_cn.html +++ b/develop/doc_cn/faq/build_and_install/index_cn.html @@ -232,7 +232,7 @@ 具体的解决方法是：

$ export CUDA_SO="$(\ls usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')"
 $ export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
-$ docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddlepaddle:latest-gpu
+$ docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu

更多关于Docker的安装与使用, 请参考 PaddlePaddle Docker 文档 。

diff --git a/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html b/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html index a808c5d4a58f62ce7b0d902c1018e08c8c99fef8..be9bee45ba73e7a7e54b9926d58f5b82bd61f598 100644 --- a/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html +++ b/develop/doc_cn/getstarted/build_and_install/docker_install_cn.html @@ -304,7 +304,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note nvidia-docker 来运行镜像。 请不要忘记提前在物理机上安装GPU最新驱动。

-
nvidia-docker run -it -v $PWD:/work paddledev/paddle:latest-gpu /bin/bash
+
nvidia-docker run -it -v $PWD:/work paddlepaddle/paddle:latest-gpu /bin/bash
@@ -312,7 +312,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note 
export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')"
 export DEVICES=$(\ls /dev/nvidia* | xargs -I{} echo '--device {}:{}')
-docker run ${CUDA_SO} ${DEVICES} -it paddledev/paddle:latest-gpu
+docker run ${CUDA_SO} ${DEVICES} -it paddlepaddle/paddle:latest-gpu
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