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Posted to issues@mxnet.apache.org by GitBox <gi...@apache.org> on 2021/04/27 10:44:52 UTC
[GitHub] [incubator-mxnet] FLSAlg opened a new issue #20223: gluon.data.vision.transforms.RandomRotation does not work when NumPy-array semantics is turned on
FLSAlg opened a new issue #20223:
URL: https://github.com/apache/incubator-mxnet/issues/20223
## Description
if npx.set_np() sets numpy-array semantics on then RandomRotation will not work
### Error Message
File "C:\Users\.....\venv\lib\site-packages\mxnet\gluon\block.py", line 682, in __call__
out = self.forward(*args)
File "C:\Users\.......\venv\lib\site-packages\mxnet\gluon\data\vision\transforms.py", line 269, in forward
raise TypeError("This transformation only supports float32. "
TypeError: This transformation only supports float32. Consider calling it after ToTensor
## To Reproduce
from mxnet import npx
npx.set_np() # without this (or with npx.reset_np()) there is no problem
img = mx.image.imread("image.png")
img_t = transforms.ToTensor()(img)
rotation = transforms.RandomRotation((5, 6), True, False)
img_rt = rotation(img_t) # this generates the error
### Steps to reproduce
1. Run the code snippet above
## What have you tried to solve it?
I suspect there are more transforms with this problem - dont have time to search and catalog all appearnces.
My work around is to deactivate np semantics with npx.reset_np() before calling functions from transforms and then reactivate with npx.set_np() afterwards (the problem appears in a large project)
## Environment
mxnet 1.7.0.post2
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[GitHub] [incubator-mxnet] github-actions[bot] commented on issue #20223: gluon.data.vision.transforms.RandomRotation does not work when NumPy-array semantics is turned on
Posted by GitBox <gi...@apache.org>.
github-actions[bot] commented on issue #20223:
URL: https://github.com/apache/incubator-mxnet/issues/20223#issuecomment-827507458
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