I put the code in https://stackoverflow.com/questions/59024502/convert-from-tensorflow-coreml-3-0-for-slot-intent-detection but basically I took a Keras model, converted it to CoreML 3.0 and put it into my application.
I get back an array similar to this truncated one:
******** intents 540 ********
[0.0028914143331348896, 0.0057610333897173405, 4.1651015635579824e-05, 0.15935245156288147, 5.6665314332349226e-05, 5.7797817134996876e-05, 0.0044302307069301605, 0.00012486864579841495, 0.0004683282459154725, 0.003053907072171569, 3.806956738117151e-05, 0.012112349271774292, 5.861848694621585e-05, 0.0031344725284725428,
when I try to look at what was returned.
This is my code, as the only thing missing is that I use text from a textfield to call the predict function.
So, how do I get back the correct intent and slot values?
Also, is there any book/tutorial that can help with doing deep learning for language? All of them seem to be for images.
func tokenizeSentences(instr: String) -> [Int] {
let s = instr.lowercased().split(separator: " ")
var ret = [Int]()
if let filepath = Bundle.main.path(forResource: "atis.dict.vocab", ofType: "csv") {
do {
let contents = try String(contentsOfFile: filepath)
print(contents)
var lines = contents.split { $0.isNewline }
var pos = 0
for word in s {
if let index = lines.firstIndex(of: word) {
print(index.description + " " + word)
ret.append(index)
}
}
return ret
} catch {
// contents could not be loaded
}
} else {
// example.txt not found!
}
return ret
}
func predictText(instr:String) {
let model = lstm_nopooling300()
guard let mlMultiArray = try? MLMultiArray(shape:[20,1,1],
dataType:MLMultiArrayDataType.int32) else {
fatalError("Unexpected runtime error. MLMultiArray")
}
let tokens = tokenizeSentences(instr: instr)
for (index, element) in tokens.enumerated() {
mlMultiArray[index] = NSNumber(integerLiteral: element)
}
guard let m = try? model.prediction(input: lstm_nopooling300Input.init(main_input: mlMultiArray))
else {
fatalError("Unexpected runtime error. MLMultiArray")
}
let mm = m.intent_output
let length = mm.count
let doublePtr = mm.dataPointer.bindMemory(to: Double.self, capacity: length)
let doubleBuffer = UnsafeBufferPointer(start: doublePtr, count: length)
let output = Array(doubleBuffer)
print("******** intents \(mm.count) ********")
print(output)
let mn = m.slot_output
let length2 = mn.count
let doublePtr2 = mm.dataPointer.bindMemory(to: Double.self, capacity: length2)
let doubleBuffer2 = UnsafeBufferPointer(start: doublePtr2, count: length2)
let output2 = Array(doubleBuffer2)
print("******** slots \(mn.count) ********")
print(output2)
}
}
