Issue with Deploying Trained Model to Akida Hardware (AKD1000)

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#1

Hi all,

I encountered an issue when deploying a trained model to Akida hardware (AKD1000). Here’s a summary of my workflow:

  1. Model Creation and Training: I created and trained the model using TensorFlow.
  2. Profiling: To profile the model, I used device='brainchip-akd1000'.
  3. Deployment: For deployment, I set the target to Zip, and I also applied quantization for hardware compatibility. I used the below code
    deploy_bytes = ei.model.deploy(model=model_keras,
    model_output_type=model_output_type,
    model_input_type=model_input_type,
    representative_data_for_quantization=X_train,
    deploy_target=‘zip’)
    Unfortunately, this returned an error.
    Could not deploy:

get_pretrained_model_info did not return model details.
Has anyone experienced a similar issue or knows how to fix it? Any guidance would be appreciated!

Thanks in advance for the help.

Rashedul