JacopoMangiavacchi

public func prepareModel() {
    let coremlModel = Model(version: 4,
                            shortDescription: "MNIST-Trainable",
                            author: "Jacopo Mangiavacchi",
                            license: "MIT",
                            userDefined: ["SwiftCoremltoolsVersion" : "0.0.12"]) {
        Input(name: "image", shape: [1, 28, 28])
        Output(name: "output", shape: [10], featureType: .float)
        TrainingInput(name: "image", shape: [1, 28, 28])
        TrainingInput(name: "output_true", shape: [1], featureType: .int)

JacopoMangiavacchi

func prepareBatchProvider() -> MLBatchProvider {
    var featureProviders = [MLFeatureProvider]()

    var count = 0
    errno = 0
    let trainFilePath = Bundle.main.url(forResource: "mnist_train", withExtension: "csv")!
    if freopen(trainFilePath.path, "r", stdin) == nil {
        print("error opening file")
    }
    while let line = readLine()?.split(separator: ",") {

JacopoMangiavacchi

import Foundation

struct OrderedDict<K: Hashable, V> {
    var _dict = [K : V]()
    var _ordered = [K]()
    
    var keys: [K] {
        _ordered
    }
    

JacopoMangiavacchi

import Foundation
import CoreML

func generateData(sampleSize: Int = 100) -> ([Float], [Float]) {
    let a: Float = 2.0
    let b: Float = 1.5
    
    var X = [Float]()
    var Y = [Float]()

JacopoMangiavacchi

import Foundation
import CoreML

func compileCoreML(path: String) -> (MLModel, URL) {
    let modelUrl = URL(fileURLWithPath: path)
    let compiledUrl = try! MLModel.compileModel(at: modelUrl)
    
    print("Compiled Model Path: \(compiledUrl)")
    return try! (MLModel(contentsOf: compiledUrl), compiledUrl)
}

JacopoMangiavacchi

JacopoMangiavacchi

import Foundation
import TensorFlow
import numsw

var tf = TensorFlow()

let a = tf.constant(NDArray<Float>(shape: [3], elements: [5, 7, 10]))
let b = tf.constant(NDArray<Float>(shape: [3], elements: [2, 3, 21]))
let c = tf.constant(NDArray<Float>(shape: [3], elements: [3, 5, 7]))

JacopoMangiavacchi

  let list = SwiftListWrapper(dataSize: 1)
  list.push_back(value: "1".data(using: .utf8)!)
  list.push_back(value: "2".data(using: .utf8)!)
  list.push_back(value: "3".data(using: .utf8)!)
  list.push_front(value: "0".data(using: .utf8)!)

  XCTAssertEqual(list.size(), 4)

  XCTAssertEqual(String.init(data: list.front()!, encoding: .utf8), "0")

JacopoMangiavacchi

#include <list>

int main(int argc, const char * argv[]) {
    std::list<void*> list;

    list.push_back((void*)"1");
    list.push_back((void*)"2");
    list.push_back((void*)"3");
    list.push_front((void*)"0");

JacopoMangiavacchi

public final class SampleStruct {
  public var key: Int32
  public var value: String
}

public protocol TestService {
  func Hello(HelloString: String) throws -> String
  func GetSampleStruct(key: Int32, value: String) throws -> SampleStruct
}