How to reduce add op_resolver memory

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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How to reduce add op_resolver memory #2611

Closed d28081439 closed 4 months ago

d28081439 commented 5 months ago

I try to add one MicroMutableOpResolver<1> micro_op_resolver; micro_op_resolver.AddFullyConnected()

But the memory has increased by about 150k Is the increased memory size correct? Is there a list of how many memories will be generated for each OP added?

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