What is the best way to change an int32 to a float32 in Deeplearn.js?

In December 2017, this code did the job perfectly. However, after updating Deeplearn.js to the latest version, it no longer functions as expected:

math.scope(function(keep, track) {
  var i = track(dl.Array3D.fromPixels(rawImageData, 4));
  i = math.multiply(i, track(dl.Scalar.new(1/255, "float32")));
  [ . . . ]
}

Now, it throws an error saying:

The dtypes of the first (int32) and second (float32) input must match

Is there a way to convert my image into float32 values ranging from 0.0 to 1.0?

javascriptdeeplearn.js

Answer №1

Utilize the cast functionality:

math.scope(function(keep, track) {
  var img = track(dl.Array3D.fromPixels(rawImageData, 4));
  img = math.cast(img, "float32");
  img = math.multiply(img, track(dl.Scalar.new(1/255, "float32")));
  [ . . . ]
}

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