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gluon.data.vision.transforms.RandomRotation does not work when NumPy-array semantics is turned on #20223

Open FLSAlg opened 3 years ago

FLSAlg commented 3 years ago

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
        import mxnet as mx
        from mxnet.gluon.data.vision import transforms

        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

github-actions[bot] commented 3 years ago

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