reduction functions failed when reduction_indices is numpy.int32

[ugtony]

When running the tfdeploy model, I got this error

File "/home/sutony/git/facenet/src/align/tfdeploy.py", line 1838, in Max
axis=tuple(reduction_indices)
TypeError: 'numpy.int32' object is not iterable

It happens when the reduction_indices is an integer

#does not work when reduction_indices is an numpy integer (e.g., np.int32)
tuple(reduction_indices)  

I changed the code in Max() and Sum() to make the program runnable, but the code is not neat and I'm not sure if it works for other cases.

if not isinstance(reduction_indices, np.ndarray):
    return np.amax(a, axis=reduction_indices, keepdims=keep_dims),
else:
    return np.amax(a, axis=tuple(reduction_indices), keepdims=keep_dims),

The other reduction functions might cause the same error.

[riga]

Thanks for reporting this.

The isinstance query cannot be avoided imho to ensure the interface between tf and np is working in all situations.