Tflite input data type (int8) conversion in javascript

I have a tflite model which expects the input to be in int8 datatype

var tf = require("tensorflow").create(2048, model);
tf.getInput()[0] = input_array;
tf.invoke();
print(tf.getOutput()[0]);

I have loaded my data in the same shape as my model expects but when i print (tf.getInput()[0] ) it always shows zero even when input_array has values. I have encoded my model with base64. Can anyone help me out @Gordon please help me out here

Also tflite has standard get_tensor and set_tensor functions in interpreter to set the input data in proper format. I cannot see those functions in banglejs after loading the tflite model.

Hi - tf.getInput() actually gives you a 1D array, so what you'd be doing with tf.getInput()[0] = input_array is casting input_array to a single integer and writing it to the first element.

Probably what you want is just: tf.getInput().set(input_array)

Also tflite has standard get_tensor and set_tensor functions in interpreter to set the input data in proper format. I cannot see those functions in banglejs after loading the tflite model.

They don't exist in Espruino - you just get tf.getInput/Output that do the formatting for you. Right now there's no support for multiple tensors of different types - you just get access to the first input and output one

Hi @Gordon thanks for the reply
so you mean my model input should be always a flat 1D array and then internal conversion should be made while creating model. Currently the my input_array is 4D array so can i directly input this to the model or should i recreate my model to take only 1D array inputs.

I'm not entirely sure it matters. Even if you specify a 4D array, I believe internally Tensorflow flattens it into a 1D array which is what you see in Espruino, so it shouldn't matter too much.

However, if you used a 1D array from the start, it might be less confusing as then it's very explicit what each part of the input represents

var tf = require("tensorflow").create(3072, model);

function get_data(a){

var d = [Math.round(a.x*100),Math.round(a.y*100),Math.round(a.z*100)];
  
input_array.push(d);


if (input_array.length > SAMPLE_SIZE-1){


var row_array = [];
var time_step_array = [];
var final_input = [];
var depth_array = [];

for (i=0; i<input_array.length;i++){
    row_array = [];
    depth_array = [];

for (j=0;j<input_array[0].length;j++){
    depth_array.push(input_array[i][j]);  
}
row_array.push(depth_array);
time_step_array.push(row_array);
}

final_input.push(time_step_array);


tf.getInput().set(final_input);

//Terminal.println(tf.getInput());

tf.invoke();

Terminal.println(tf.getOutput());

input_array = [];

}


}


Bangle.on('accel', get_data);

This is my code and my model takes input as array i am always getting the same output when printed. I am pretty sure there is no problem in model as i loaded the tflite model and tested the output in my desktop and it is working fine.

Maybe you could print the contents of final_input?

The way you're doing final_input.push(time_step_array); makes me think you might be ending up with an array of arrays, rather than just a single flat 1D array. You probably need to use concat for that - or ideally to use tf.getInput().set(sub_array, offset);