Fourier argument question & comparison of shallow vs. deep complex models

[austinmw]

In the readme examples, why is --fourier only used for the deep models, both real and complex, but not in either shallow model?

I think there's an error somewhere. Trying the shallow complex model both with and without --fourier both error out, but the deep complex model trains fine.

bad:
train.py shallow_complex_model --in-memory --model=complex_shallow_convnet --complex --local-data /home/data/musicnet_11khz.npz -> division by zero error
train.py shallow_complex_model --in-memory --model=complex_shallow_convnet --fourier --complex --local-data /home/data/musicnet_11khz.npz -> too many arguments error

good:
train.py deep_complex_model --in-memory --model=complex_deep_convnet --fourier --complex --local-data /home/neuro/data/musicnet_11khz.npz