How to solve PyTorch UnicodeEncodeError error when using torch.from_numpy?

Question

I am using PyTorch with python3. I tried the following while in ipdb mode:

regions = np.zeros([107,4], dtype='uint8')
torch.from_numpy(regions)

This prints the tensor. However when trying:

regions = np.zeros([107,107,4], dtype='uint8')
torch.from_numpy(regions)

I get the following error:

*** UnicodeEncodeError: 'ascii' codec can't encode character '\u22ee' in position 72: ordinal not in range(128)

I'm am using:

numpy==1.11.3
torch==0.2.0.post4
torchvision==0.1.9

and python3.5.3

I find several solutions and all says the same, try to find what file are you importing on your script that use with open(filename) as and change it for with open(filename, encoding='utf8') as . That worked for me. Check these solutions: stackoverflow.com/questions/30750843/… , stackoverflow.com/questions/42919076/…, stackoverflow.com/questions/18648154/… — titusfx
– titusfx, Commented Mar 12, 2018 at 21:48

ruoho ruotsi · Accepted Answer · 2017-10-31 17:35:27Z

0

I'm able to run both versions of your code with no issues in a jupyter notebook. I'm gonna say that this kind of Unicode codec error is not due to .from_numpy()

I'm running Python 3.5.2 |Anaconda custom (x86_64)

numpy==1.13.0
torch==0.1.12.post2
torchvision==0.1.8

answered Oct 31, 2017 at 17:35

ruoho ruotsi

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Manuel Lagunas · Accepted Answer · 2017-10-31 19:18:42Z

0

From the website http://pytorch.org/ they say:

Please ensure that you are on the latest pip and numpy packages.

I was not able to reproduce your errors with recent versions of numpy and pytorch. I think pip install -U numpy might solve the problem.

answered Oct 31, 2017 at 19:18

Manuel Lagunas

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1 Comment

titusfx Over a year ago

I have a similar problem trying github.com/jojonki/BiDAF I did what you suggest and I'm still having the same problem.

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