Drop in performance when converting from Keras to TFLite (float 32)

Keras
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#1

Hi,

I was trying to convert my model to TFLite and it is in float 32. I see a small drop in metrics. So my question is really straightforward - is this drop expected when converting to TFLite?

Thanks,

#3

Yes, a small drop in performance metrics is expected when converting a TensorFlow model to TensorFlow Lite (TFLite) format, even in float32. This can be due to optimizations for mobile devices, slight numerical differences, and variations in operator support and compatibility.

#4

Thanks for that answer.
I got an other question - so when I am converting my model, I am using BUILTIN_REF instead of AUTO OpsResolver. I know this is used for testing and debugging but could this be a problem when converting to TFLite (on metrics, etc…) so maybe there are some difference between AUTO and BUILTIN_REF that could lead to more drops?