Update compile_paddle_lib_en.md #9795
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abhinavarora
suggested changes
Apr 9, 2018
| TBD | ||
| ### Download & Install | ||
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| Download the latest C-API development package from CI system and install, you can find the required version in the table below: |
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install, you -> install. You
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| ### From source | ||
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| User also can compile the C-API library from PaddlePaddle source code, just compiling with the following compilation options: |
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This sentence should be:
Users can also compile the C-API library from PaddlePaddle source code by compiling with the following compilation options:
| <td>ON/OFF</td> | ||
| </tr></tbody></table> | ||
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| It is best to set up with recommended values to avoid link with unnecessary libraries. Set other compilation options as you need. |
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| ``` | ||
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| After run the above code to generate Makefile , run: `make && make install`. After successfully compiled, the dependencies are required by C-API(includes: (1)PaddlePaddle inference library and header files; (2) Third-party libraries and header files) will be stored in the `PADDLE_ROOT` directory. |
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compiled -> compilation
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the dependencies are required by -> the dependencies required by
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| ### Linking Description: | ||
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| There are three kinds of link methods: |
| There are three kinds of link methods: | ||
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| 1. Linking with dynamic library `libpaddle_capi_shared.so`（This way is much more convenient and easier, **Without special requirements, it is recommended**）, refer to the following： | ||
| 1. Compiling with CPU version and using `OpenBLAS`; only need link one library named `libpaddle_capi_shared.so` to develop prediction program through C-API. |
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need link -> need to link
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| 1. Linking with dynamic library `libpaddle_capi_shared.so`（This way is much more convenient and easier, **Without special requirements, it is recommended**）, refer to the following： | ||
| 1. Compiling with CPU version and using `OpenBLAS`; only need link one library named `libpaddle_capi_shared.so` to develop prediction program through C-API. | ||
| 1. Compiling with CPU version and using `MKL` lib, you need link MKL library directly to develop prediction program through PaddlePaddle C-API, due to `MKL` has its own dynamic library. |
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need link -> need to link
| 1. Linking with dynamic library `libpaddle_capi_shared.so`（This way is much more convenient and easier, **Without special requirements, it is recommended**）, refer to the following： | ||
| 1. Compiling with CPU version and using `OpenBLAS`; only need link one library named `libpaddle_capi_shared.so` to develop prediction program through C-API. | ||
| 1. Compiling with CPU version and using `MKL` lib, you need link MKL library directly to develop prediction program through PaddlePaddle C-API, due to `MKL` has its own dynamic library. | ||
| 1. Compiling with GPU version, CUDA library will be loaded dynamic on prediction program run-time, and also set CUDA library to `LD_LIBRARY_PATH` environment variable. |
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dynamic -> dynamically
| 1. This linking methods is mainly used for mobile prediction. | ||
| 1. Split `libpaddle_capi_whole.a` into two static linking library at least to reduce the size of linking libraries. | ||
| 1. Specify `-Wl,--whole-archive -lpaddle_capi_layers` and `-Wl,--no-whole-archive -lpaddle_capi_engine` for linking. | ||
| 1. The dependencies of third-party need explicitly link same as method 2 above. |
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dependencies of third-party -> third-party dependencies
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Fix #8916