EdgeTPU - ResizeBilinear only for small Models? about edgetpu HOT 8 CLOSED

I feel the main issue was not resolved in the latest update: when using ResizeBilinear in a model, edgetpu_compiler will not map it to TPU if size of input is "too big" (what does it even mean?), and the users don't have a way to prevent this from happening.

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Hi all,

I am also waiting for this fix, any timeframe to the next release? End of the month? Next month? No idea?

Thanks!

from edgetpu.

Hello,

I am glad to see application of egde tpu in image segmetation. Yes, ResizeBilinear operation is mapped to cpu in specific cases. As we cannot disclose how this happeens, i can tell you why. Compiler rejects mapping the ops to edgetpu if loss of precision is higher than threshold. Team is working to resolve this and will be updated in our next release.

The reason for runtime errro could be due diffrent vresion of tensorflow. We recommned to use tf 1.15. Please check it, if you are using tf 2.0 or tf 1.15 nightly try to downgrade and run the model.

Hope this helps

Thanks

Best,
Naveen Dodda

from edgetpu.

Hello Naveen,

im glad to hear that you are working on this problem for the next realese version.
It will be a huge advantage for semantic segmentation models.

Regarding the other problem (RuntimError when mapping to cpu), i am using Tensorflow Version 1.15.0 by installing it with:
pip install tensorflow==1.15.0

But the problem still exists. What else can cause the RuntimeError ?

from edgetpu.

Gently ping

from edgetpu.

Any news with the new compiler?
#45

from edgetpu.

Hi,

We have updated the compiler. https://coral.ai/news/updates-01-2020/

Thanks for your patience

from edgetpu.

Please feel free to open this if you have more questions. I am closing this as there is not activity.

Thanks

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