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update_1.2 (#464)
* add_api_cn (#437) * add gpu benchmark page (#436) * add gpu benchmark * fix comments * add chinese link in gen_doc.py (#439) * modified gen_doc.py * Update gen_doc.py * update gen_doc.py * Update mobile doc (#440) * update_en_structure * update_Paddle_commitid * delete_DS * update_mobile_doc * Update book commit (#438) * update_en_structure * update_Paddle_commitid * delete_DS * update_book_commit_id * update_api_rst * Adjust structure of advanced usage (#442) * adjust_structure_of_advanced_usage * Update paddle_gpu_benchmark.md * adjust_toctree_hidden * fix_api_guide * Update index.rst * fix deadlinkes (#443) * add_toctree (#445) * adjust_beginners_structure (#446) * adjust_beginners_structure * Update index.rst * update install_doc for python3 (#418) * update install_doc for python3 * update python3.5+ info,test=develop * fix review, test=develop * fix_pic (#447) * delete en2zn link * update lod_tensor * 1207 1.english api reference links removed 2. formatted * update transpiler * update profilse_cn * Update docker-image instroduce, test=develop (#459) * fix_bug (#460) * [cp2dev]Add avx info 1.1 (#279) (#451) * Add avx info 1.1 (#279) * refine avx info representation * refine avx info representation * refine avx info representation * updatetoavx * fix_AVX * update_en_api (#461) * update api guides for cn (#462) * Update commit_id of Paddle (#463) * update_en_api * update_again * Fix bug (#465) * update_en_api * update_again * bug_fix * fix_2nd
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‎doc/fluid/advanced_usage/deploy/inference/index_cn.rst‎

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PaddlePaddle Fluid 提供了 C++ API 来支持模型的部署上线
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.. toctree::
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build_and_install_lib_cn.rst
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native_infer.md

‎doc/fluid/advanced_usage/development/profiling/index_cn.rst‎

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性能调优
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##########
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.. toctree::
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:hidden:
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benchmark.rst
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cpu_profiling_cn.md
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gpu_profiling_cn.rst
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host_memory_profiling_cn.md
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timeline_cn.md
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本模块介绍 Fluid 使用过程中的调优方法，包括：
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- `如何进行基准测试 <benchmark.html>`_：介绍如何选择基准模型，从而验证模型的精度和性能
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- `Timeline工具简介 <timeline_cn.html>`_ ：介绍如何使用 Timeline 工具进行性能分析和调优
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benchmark.rst
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cpu_profiling_cn.md
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gpu_profiling_cn.rst
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host_memory_profiling_cn.md
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‎doc/fluid/api/api_guides/high_low_level_api.md‎

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## High/Low-level API简介
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Paddle目前有2套API接口：
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PaddlePaddle Fluid目前有2套API接口：
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- Low-level（底层） API：
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- 灵活性强并且已经相对成熟，使用它训练的模型，能直接支持C++预测上线。
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- 提供了大量的模型作为使用示例，包括[Book](https://github.com/PaddlePaddle/book)中的第7和8章，以及[models](https://github.com/PaddlePaddle/models)中的所有章节。
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- 提供了大量的模型作为使用示例，包括[Book](https://github.com/PaddlePaddle/book)中的全部章节，以及[models](https://github.com/PaddlePaddle/models)中的所有章节。
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- 适用人群：对深度学习有一定了解，需要自定义网络进行训练/预测/上线部署的用户。
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- High-level（高层）API：
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- 使用简单，[Book](https://github.com/PaddlePaddle/book)中前六章提供了示例。
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- 使用简单
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- 尚未成熟，接口暂时在[paddle.fluid.contrib](https://github.com/PaddlePaddle/Paddle/tree/develop/python/paddle/fluid/contrib)下面。
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- 适用人群：想通过Book课程进行深度学习基础知识学习的初级用户。

‎doc/fluid/api/average.rst‎

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‎doc/fluid/api/backward.rst‎

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‎doc/fluid/api/clip.rst‎

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‎doc/fluid/api/data_feeder.rst‎

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‎doc/fluid/api/executor.rst‎

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‎doc/fluid/api/fluid.rst‎

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