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    Difficulties in tensorflow Lite model deployment

    Spresense
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    • S
      satish last edited by

      We tried loading a simple custom trained RNN model with 80 neutrons in spresense sdk and the following error popped up, how can we deploy the model succesfully?
      e3573845-2b32-4f93-9843-555de26632d4-image.png

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        greesh @satish last edited by

        @satish same issue someone kindly help

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          KamilTomaszewski DeveloperWorld last edited by

          Hi @satish and @greesh ,

          It looks like the current version of TensorFlow LM from Spresense SDK does not support your models.

          TensorFlow LM will be updated in the next SDK release. I think this will solve this problem. You can try to build the latest TensorFlow LM (https://github.com/tensorflow/tflite-micro) on your computer and see if your model works. If it works, then the next SDK release will solve your problem.

          Best Regards,
          Kamil Tomaszewski

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