string input on SnapML instead of array

  • Hi Marco,

    One options is to use one-hot encoding for each letter you are trying to feed. However, unfortunately most text processing related features like LSTM and GRU are not supported for now. May I know what specific model you have?


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  • Hi Eric,


     Thanks for the reply. I asked because I was trying to use AutoML Vision from Google Cloud to train a model but their input internally is string not float array. I tried really hard to convert to float but it's tough to understand what they're doing internally.



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  • Here's the link to download the model if you would like to take a look.


    I understand that some operations on AutoML  Vision also wouldn't be supported but for now the main issue is the input is string.

     I belive AutoML uses string input even for images to save space using quantization. Maybe SnapML could benefit from this in the future.



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  • Hi Marco,

    Thanks for uploading the model. We will take a look and get back to you shortly.


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  • Thanks, Eric.


    Google AutoML Vision Edge support would be very interesting since they export the model to be mobile optimized.

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  • Hi Marco, 

    I've looked into the model you exported from Google AutoML. Looks like it is reading image binaries and converts them to floats via tensorflow::ops::DecodeJpeg inside its graph. Unfortunately our internal inference framework does not support these ops. We will update our Tensorflow export guide to provide code example on how to transform graphs from AutoML for Lens Studio import.


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