add hints for building ctcdecode on unsupported platforms
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@ -327,3 +327,33 @@ much performance gains do you get in your applications, how you had to change
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the model to make it work with a delegate, etc.
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See :ref:`the support / contact details <support>`
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Building CTC Decoder for training on unsupported platforms
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----------------------------------------------------------
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Alongside linux on x86 and arm, macOS and windows there also exists a lot of
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other architectures which are not offically supported by the DeepSpeech team.
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Nevertheless, we offer some hits for other architectures provided by users.
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If you have problems, ask in our `discourse <https://discourse.mozilla.org/>`.
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Feedback on improving this section or usage on other architectures is welcome.
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Since, * `SWIG >= 3.0.12 <http://www.swig.org/>`_ does not include our patches please use
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https://github.com/lissyx/swig/tree/taskcluster for building SWIG from source.
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You can supply your prebuild SWIG using ``SWIG_DIST_URL``
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Moreover you may have to change ``PYTHON_PLATFORM_NAME`` corresponding to your platform.
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.. code-block::
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# PowerPC (ppc64le)
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PYTHON_PLATFORM_NAME="--plat-name linux_ppc64le"
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Complete build command:
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.. code-block::
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SWIG_DIST_URL=[...] PYTHON_PLATFORM_NAME=[...] make bindings
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