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Add a note about Android cross compilation #1503

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Mar 19, 2017
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Add a note about Android cross compilation #1503

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23 changes: 14 additions & 9 deletions README.md
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Expand Up @@ -40,25 +40,30 @@ Development pattern for contributors
------------------------------------

1. [Create a personal fork](https://help.github.com/articles/fork-a-repo/)
of the [main Kaldi repository] (https://github.com/kaldi-asr/kaldi) in GitHub.
of the [main Kaldi repository](https://github.com/kaldi-asr/kaldi) in GitHub.
2. Make your changes in a named branch different from `master`, e.g. you create
a branch `my-awesome-feature`.
3. [Generate a pull request](https://help.github.com/articles/creating-a-pull-request/)
through the Web interface of GitHub.
4. As a general rule, please follow [Google C++ Style Guide]
(https://google.github.io/styleguide/cppguide.html).
4. As a general rule, please follow [Google C++ Style Guide](https://google.github.io/styleguide/cppguide.html).
There are a [few exceptions in Kaldi](http://kaldi-asr.org/doc/style.html).
You can use the [Google's cpplint.py]
(https://raw.githubusercontent.com/google/styleguide/gh-pages/cpplint/cpplint.py)
You can use the [Google's cpplint.py](https://raw.githubusercontent.com/google/styleguide/gh-pages/cpplint/cpplint.py)
to verify that your code is free of basic mistakes.

Platform specific notes
-----------------------

PowerPC 64bits little-endian (ppc64le):
### PowerPC 64bits little-endian (ppc64le)

- Kaldi is expected to work out of the box in RHEL >= 7 and Ubuntu >= 16.04 with
OpenBLAS, ATLAS, or CUDA.
- CUDA drivers for ppc64le can be found at [https://developer.nvidia.com/cuda-downloads]
(https://developer.nvidia.com/cuda-downloads).
- An [IBM Redbook] (https://www.redbooks.ibm.com/abstracts/redp5169.html) is
- CUDA drivers for ppc64le can be found at [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads).
- An [IBM Redbook](https://www.redbooks.ibm.com/abstracts/redp5169.html) is
available as a guide to install and configure CUDA.

### Android

- Kaldi supports cross compiling for Android using Android NDK, clang++ and
OpenBLAS.
- See [this blog post](http://jcsilva.github.io/2017/03/18/compile-kaldi-android/)
for details.