From 30ece685d9b6ac43d75d3260cef1375c3fb95254 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Thu, 9 Mar 2017 06:06:32 +0000 Subject: [PATCH] Deploy to GitHub Pages: bd689cbbe5a0a315f5a851848d0085423540f479 --- .../docker_install_en.rst.txt | 25 ++++++++++++++++++- .../build_and_install/docker_install_en.html | 21 +++++++++++++++- develop/doc/searchindex.js | 2 +- 3 files changed, 45 insertions(+), 3 deletions(-) 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 5a1056e859a..a92201c618c 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 @@ -42,7 +42,7 @@ Windows -- in a consistent way. .. code-block:: bash - docker run -d -p 2202:22 -v $PWD:/paddle paddle:dev + docker run -d -p 2202:22 -p 8888:8888 -v $PWD:/paddle paddle:dev This runs a container of the development environment Docker image with the local source tree mounted to :code:`/paddle` of the @@ -82,6 +82,29 @@ Windows -- in a consistent way. cd /paddle/build ctest +4. Run PaddlePaddle Book under Docker Container + + The Jupyter Notebook is an open-source web application that allows + you to create and share documents that contain live code, equations, + visualizations and explanatory text in a single browser. + + PaddlePaddle Book is an interactive Jupyter Notebook for users and developers. + We already exposed port 8888 for this book. If you want to + dig deeper into deep learning, PaddlePaddle Book definitely is your best choice. + + Once you are inside the container, simply issue the command: + + .. code-block:: bash + + jupyter notebook + + Then, you would back and paste the address into the local browser: + + .. code-block:: text + + http://localhost:8888/ + + That's all. Enjoy your journey! CPU-only and GPU Images ----------------------- 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 bd91d54645f..877ea9fb037 100644 --- a/develop/doc/getstarted/build_and_install/docker_install_en.html +++ b/develop/doc/getstarted/build_and_install/docker_install_en.html @@ -235,7 +235,7 @@ to set a build arg:

Once we got the image paddle:dev, we can use it to develop Paddle by mounting the local source code tree into a container that runs the image:

-
docker run -d -p 2202:22 -v $PWD:/paddle paddle:dev
+
docker run -d -p 2202:22 -p 8888:8888 -v $PWD:/paddle paddle:dev
 

 

 
This runs a container of the development environment Docker image
@@ -268,6 +268,25 @@ ctest
+

  • Run PaddlePaddle Book under Docker Container

    +
    +

    The Jupyter Notebook is an open-source web application that allows +you to create and share documents that contain live code, equations, +visualizations and explanatory text in a single browser.

    +

    PaddlePaddle Book is an interactive Jupyter Notebook for users and developers. +We already exposed port 8888 for this book. If you want to +dig deeper into deep learning, PaddlePaddle Book definitely is your best choice.

    +

    Once you are inside the container, simply issue the command:

    +
    jupyter notebook
+
    +
    +

    Then, you would back and paste the address into the local browser:

    +
    http://localhost:8888/
+
    +
    +

    That’s all. Enjoy your journey!

    +
    +
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Prediction","Activations","Parameter Attributes","DataSources","Evaluators","Layers","Networks","Optimizers","Poolings","Data Related API","Configuration Related API","Trainer API","PaddlePaddle Design Doc","Python Data Reader Design Doc","Simple Linear Regression","Installing from Sources","PaddlePaddle in Docker Containers","Install and Build","Debian Package installation guide","GET STARTED","RNN Models","RNN Configuration","Contribute Code","Write New Layers","HOW TO","Tune GPU Performance","Run Distributed Training","Argument Outline","Detail Description","Set Command-line Parameters","Use Case","Distributed PaddlePaddle Training on AWS with Kubernetes","Paddle On Kubernetes","<no title>","<no title>","PaddlePaddle Documentation","Chinese Word Embedding Model Tutorial","Generative Adversarial Networks (GAN)","Image Classification Tutorial","Model Zoo - ImageNet","TUTORIALS","Quick Start","MovieLens Dataset","Regression MovieLens Ratting","Semantic Role labeling Tutorial","Sentiment Analysis Tutorial","Text generation 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