提交 0e18bc88 编写于 作者: L Luo Tao

update paddledev to paddlepaddle

上级 79f0ab55
...@@ -14,7 +14,7 @@ ...@@ -14,7 +14,7 @@
$ export CUDA_SO="$(\ls usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')" $ 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 {}:{}') $ 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 <http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html>`_ 。 更多关于Docker的安装与使用, 请参考 `PaddlePaddle Docker 文档 <http://www.paddlepaddle.org/doc_cn/build_and_install/install/docker_install.html>`_ 。
......
...@@ -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 ...@@ -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 .. code-block:: bash
nvidia-docker run -it -v $PWD:/work paddledev/paddle:latest-gpu /bin/bash nvidia-docker run -it -v $PWD:/work paddlepaddle/paddle:latest-gpu /bin/bash
**注: 如果没有安装nvidia-docker,可以尝试以下的方法,将CUDA库和Linux设备挂载到Docker容器内:** **注: 如果没有安装nvidia-docker,可以尝试以下的方法,将CUDA库和Linux设备挂载到Docker容器内:**
...@@ -122,7 +122,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note ...@@ -122,7 +122,7 @@ PaddlePaddle Book是为用户和开发者制作的一个交互式的Jupyter Note
export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')" export CUDA_SO="$(\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 {}:{}') 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:** **关于AVX:**
......
...@@ -122,7 +122,7 @@ GPU driver installed before move on. ...@@ -122,7 +122,7 @@ GPU driver installed before move on.
.. code-block:: bash .. code-block:: bash
nvidia-docker run -it -v $PWD:/work paddledev/paddle:latest-gpu /bin/bash nvidia-docker run -it -v $PWD:/work paddlepaddle/paddle:latest-gpu /bin/bash
**NOTE: If you don't have nvidia-docker installed, try the following method to mount CUDA libs and devices into the container.** **NOTE: If you don't have nvidia-docker installed, try the following method to mount CUDA libs and devices into the container.**
...@@ -130,7 +130,7 @@ GPU driver installed before move on. ...@@ -130,7 +130,7 @@ GPU driver installed before move on.
export CUDA_SO="$(\ls /usr/lib64/libcuda* | xargs -I{} echo '-v {}:{}') $(\ls /usr/lib64/libnvidia* | xargs -I{} echo '-v {}:{}')" export CUDA_SO="$(\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 {}:{}') 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:** **About AVX:**
......
# Build this image: docker build -t mpi . # Build this image: docker build -t mpi .
# #
FROM paddledev/paddle:0.10.0rc3 FROM paddlepaddle/paddle:0.10.0rc3
ENV DEBIAN_FRONTEND noninteractive ENV DEBIAN_FRONTEND noninteractive
......
...@@ -5,4 +5,4 @@ docker run --rm \ ...@@ -5,4 +5,4 @@ docker run --rm \
-e "WITH_AVX=ON" \ -e "WITH_AVX=ON" \
-e "WITH_DOC=ON" \ -e "WITH_DOC=ON" \
-e "WOBOQ=ON" \ -e "WOBOQ=ON" \
${1:-"paddledev/paddle:dev"} ${1:-"paddlepaddle/paddle:latest-dev"}
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册