Is it possible to convert keras model to coreml model if theano is used as backend?

I am trying to convert a `keras` model to `coreml`. It seems that my `theano` backend is creating a problem with the conversion. I have posted the problem here. I also tried upgrading `theano`. I read here that I might require to change the ordering of data as `(height, width, channels)`. However my problem seems to be that `cormltools` is not able to identify my backend. Does this conversion work with `theano` backend or does it require `tensorflow`?

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syamprasadkr
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Currently, the Keras conversion of coremltools requires you to have the tensorflow backend. We are working hard to get theano backend working too. Stay tuned for updates.

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srikris
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Currently, the Keras conversion of coremltools requires you to have the tensorflow backend. We are working hard to get theano backend working too. Stay tuned for updates.

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srikris
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Thank You for the reply.

Posted by
syamprasadkr
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I know that `keras 1.2.2` is required to use `coremltools`. Is it necessary to use any particular version of `tensorflow` and `python`?

Posted by
syamprasadkr
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Tensorflow version 1.0.x and 1.1.x are supported and the latest version of coremltools (0.4.0) supports Keras 2.0.0+. Currently only python 2.7 is supported but we are working on support for Python 3 and plan to have it in an upcoming update

Posted by
sohaibqureshi
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Okay, I'm confused.... What is supported, as of today; July 31, 2017? I'm running keras 2.0.6 with Theano backend, but I can't seem to convert to coreml (AttributeError: 'module' object has no attribute 'convert'). I'm guessing this is because of the Theano backend?

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jbmaxwell
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just lending my voice to the crowd that really wants theano to be supported by coremltools

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KittyMac
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