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tensorflow / tflite-micro

Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

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Usage of NaN and Infinity not supported by default in armclang

AdrianLundell opened this issue · comments

commented

Using these is not supported by the std/fast ffp-mode in armclang, forcing useage of the --ffp-mode=full flag.
This is fixed for all armclang builds with #2517, but it could be worth the effort to look into supporting other ffp-modes, in particular since they may be faster.

See https://developer.arm.com/documentation/101754/0622/armclang-Reference/armclang-Command-line-Options/-ffp-mode

commented

@AdrianLundell - is this fixed now? If so, please close.

commented

It is fixed to the extent that we do not build anything with undefined behaviour anymore since #2517, but the issue has a broader scope to add support for all fpp-modes in the future, so it would be nice to keep around for that if that is ok.