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
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
