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It would be useful to specify the exact details of the entire environment. Specifically, the exact version of Python. After trial-and-error, I figured out that Python 3.5 (not 3.6/latest nor 2.7) work properly. Just add it to the requirements file.
The text was updated successfully, but these errors were encountered:
For loading the pretrained model and making predictions, it works for me in python 2.7.12, keras 2.1.3, tensorflow 1.3.0-rc2
Haven't tried for training
`~/miniconda3/lib/python3.6/site-packages/keras/layers/core.py in Interp(x, shape)
16 from .. import initializers
17 from .. import regularizers
---> 18 from .. import constraints
19 from ..engine.base_layer import InputSpec
20 from ..engine.base_layer import Layer
It would be useful to specify the exact details of the entire environment. Specifically, the exact version of Python. After trial-and-error, I figured out that Python 3.5 (not 3.6/latest nor 2.7) work properly. Just add it to the requirements file.
The text was updated successfully, but these errors were encountered: