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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Support for rolled LSTM #2600

Closed zixiaoli0206 closed 4 months ago

zixiaoli0206 commented 5 months ago

Dear contributors,

I am trying to deploy a LSTM-based network on STM32. However, I noticed that the deployment is only successful when I used unrolled LSTM. When I use the rolled LSTM, the Allocator always complains "failed to get the registration from op code CUSTOM". Is it true the framework cannot support rolled LSTM up to now? The unrolled LSTM taks much more storage than rolled LSTM.

rascani commented 5 months ago

From your description, I do not know what type of LSTM you're trying to deploy, but currently, the only LSTM we support is a unidirectional sequence LSTM.

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github-actions[bot] commented 4 months ago

"This issue is being closed because it has been marked as stale for 5 days with no further activity."