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ARM ML Zoo : TensorFlowLite for Microcontrollers Deployment code for Zoo models

Arvindh_S

Hi,
In the ARM ML Zoo, https://github.com/ARM-software/ML-zoo only KWS models have an example TensorFlowLite for Microcontrollers code at https://github.com/ARM-software/ML-examples/tree/main/tflu-kws-cortex-m/kws_cortex_m

For noise suppression https://github.com/ARM-software/ML-zoo/tree/master/models/noise_suppression/RNNoise/tflite_int8 there is no TensorFlowLite for Microcontrollers example code.

Same for the speech recognition using wav2letter, github.com/.../tflite_pruned_int8

How did ARM benchmark the performance on ARM Cortex M, A etc ?

Are the inferencing codes on microcontrollers using TensorFlowLite Micro available for public access ?

Thanks,

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  • 0 in reply to tepalia02

    Thanks . Yes, Running the TF/python codes in Raspberry Pi would be much straightforward and suitable for Cortex A.

    But I am intending to deploy the models (speech recognition or noise suppression) to ARM Cortex M series (M4 or M7) microcontrollers, hence this approach would not work.
    That is why I was checking if the inferencing codes using TFLite-Micro would be available for public access, similar to the KWS code that ARM has provided in the github.

Reply
  • 0 in reply to tepalia02

    Thanks . Yes, Running the TF/python codes in Raspberry Pi would be much straightforward and suitable for Cortex A.

    But I am intending to deploy the models (speech recognition or noise suppression) to ARM Cortex M series (M4 or M7) microcontrollers, hence this approach would not work.
    That is why I was checking if the inferencing codes using TFLite-Micro would be available for public access, similar to the KWS code that ARM has provided in the github.

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