“OverflowError: Python int too large to convert to C long” on 64-bit windows

[WandiX]

Hi,

I tried to run the image analysis on 64-bit Windows. When the process goes to decode(), the overflow error arises. I changed map_negative_range = np.vectorize(lambda element: float(element) if element <= Q/2 else element - Q) to map_negative_range = np.vectorize(lambda element: float(element) if element <= Q/2 else element - Q, otypes=[np.float64]) The error goes away, but two warnings arise: tensor.py:102: RuntimeWarning: overflow encountered in exp tensor.py:81: RuntimeWarning: invalid value encountered in true_divide I tried to ignore the warnings, but the prediction results are not good (50% - 60% I guess). Any idea how to deal with?

Thanks!

[zerotas]

Hi,

I tried to run the image analysis on 64-bit Windows. When the process goes to decode(), the overflow error arises. I changed map_negative_range = np.vectorize(lambda element: float(element) if element <= Q/2 else element - Q) to map_negative_range = np.vectorize(lambda element: float(element) if element <= Q/2 else element - Q, otypes=[np.float64]) The error goes away, but two warnings arise: tensor.py:102: RuntimeWarning: overflow encountered in exp tensor.py:81: RuntimeWarning: invalid value encountered in true_divide I tried to ignore the warnings, but the prediction results are not good (50% - 60% I guess). Any idea how to deal with?

Thanks!

Excuse me, have you fixed the problem?

[WandiX]

Hi, I tried to run the image analysis on 64-bit Windows. When the process goes to decode(), the overflow error arises. I changed map_negative_range = np.vectorize(lambda element: float(element) if element <= Q/2 else element - Q) to map_negative_range = np.vectorize(lambda element: float(element) if element <= Q/2 else element - Q, otypes=[np.float64]) The error goes away, but two warnings arise: tensor.py:102: RuntimeWarning: overflow encountered in exp tensor.py:81: RuntimeWarning: invalid value encountered in true_divide I tried to ignore the warnings, but the prediction results are not good (50% - 60% I guess). Any idea how to deal with? Thanks!

Excuse me, have you fixed the problem?

No. I tried but I couldn't fix.