Jean-Francis Roy created SYSTEMML-2138:
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Summary: mllearn/keras2caffe does not support Python 3
Key: SYSTEMML-2138
URL: https://issues.apache.org/jira/browse/SYSTEMML-2138
Project: SystemML
Issue Type: Bug
Reporter: Jean-Francis Roy
I am a new user of SystemML and I am not sure if this is supposed to work or
not, but I am surprised to see that I cannot follow the documentation's
examples using Python 3.
When using `estimators.Keras2DML` function, it fails to import the
`keras2caffe` module, as it is compatible with Python 2 only.
Here are the parts of the code that aren't compatible with Python 3:
* `imap` doesn't exist in itertools anymore, Python 3's `map` returns an
iterator already. Fix: use `future` package and import `map` from `builtins`.
* Dictionary `keys()` now return an iterator that does not support indexing.
Instead of `my_dict.keys()[0]`, use `list(my_dict)[0]`.
With these changes I can get further using Python 3. I get an exception while
converting a model (that works using Keras directly), but this is likely to be
unrelated with Python 2/3 support.
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