Trajectory log results are different on different computers

[bozhikovstanislav]

Describe the bug A clear and concise description of what the bug is.

The calculation are different on different computers .

There is problem in core directory file image.py

change it with float32 to float64 fixed it

the numpy array must be of type np.float64 !! . .

40 img = load(path, dtype=np.float64)

. . . 624 img_x = spf.sobel(ref_img.as_type(np.float64), 1) 625 img_y = spf.sobel(ref_img.as_type(np.float64), 0)

this fixed it

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[jrkerns]

Can you give me some more context here? What exactly is different and why is float64 consistent but float32 isn't?

[bozhikovstanislav]

https://stackoverflow.com/questions/13421159/different-result-of-same-numpy-mean-calculation-on-two-computers?fbclid=IwAR2UJkbKazO4RSA8pE-aA4ZrCwwYN3annKmJOi47qbkVvNC9J8g4VjyEo4E

here is explained

On Thu, Aug 22, 2019 at 4:50 AM James Kerns [email protected] wrote:

Can you give me some more context here? What exactly is different and why is float64 consistent but float32 isn't?

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/jrkerns/pylinac/issues/189?email_source=notifications&email_token=ABTLNLWV3FKZM7BHA554GGDQFXWETA5CNFSM4II33P72YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD43TXKA#issuecomment-523713448, or mute the thread https://github.com/notifications/unsubscribe-auth/ABTLNLRMR5NI52IE4WM7OXTQFXWETANCNFSM4II33P7Q .

[bozhikovstanislav]

I found that when my professor is doing the same calculation on his computer . the results were differed than that of my computer . after changing np.float32 to np.float64 . everything go the same ... as it was mention in the link above . it is related on how numpy library is manipulating big set of array .... this is what I can say ..