Insert parameters from server properly in iOS example

examples/ios/FLiOS.xcodeproj/project.pbxproj

@@ -11,7 +11,8 @@
  19764EED297D3ABE009F3E5D /* BenchmarkModel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 19764EEC297D3ABE009F3E5D /* BenchmarkModel.swift */; };
  19764EEF297D3AC9009F3E5D /* BenchmarkSuite.swift in Sources */ = {isa = PBXBuildFile; fileRef = 19764EEE297D3AC9009F3E5D /* BenchmarkSuite.swift */; };
  21075DC929788ED400311461 /* FLiOSModel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 21075DC829788ED400311461 /* FLiOSModel.swift */; };
- 216A90382A0CBE5400E0B532 /* flwr in Frameworks */ = {isa = PBXBuildFile; productRef = 216A90372A0CBE5400E0B532 /* flwr */; };
+ 210BBB812AA5D10C00B283AC /* MLFlwrClientModel.swift in Sources */ = {isa = PBXBuildFile; fileRef = 210BBB802AA5D10C00B283AC /* MLFlwrClientModel.swift */; };
+ 210BBB822AA5D10C00B283AC /* MLFlwrClient.swift in Sources */ = {isa = PBXBuildFile; fileRef = 210BBB7F2AA5D10C00B283AC /* MLFlwrClient.swift */; };
  21A77AC32865B22B0062EBD8 /* Array+Extensions.swift in Sources */ = {isa = PBXBuildFile; fileRef = 21A77A6F2865B22A0062EBD8 /* Array+Extensions.swift */; };
  21A77AC42865B22B0062EBD8 /* Math.swift in Sources */ = {isa = PBXBuildFile; fileRef = 21A77A702865B22A0062EBD8 /* Math.swift */; };
  21A77AC52865B22B0062EBD8 /* UIImage+CVPixelBuffer.swift in Sources */ = {isa = PBXBuildFile; fileRef = 21A77A712865B22A0062EBD8 /* UIImage+CVPixelBuffer.swift */; };
@@ -127,6 +128,9 @@
  19764EEC297D3ABE009F3E5D /* BenchmarkModel.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = BenchmarkModel.swift; sourceTree = "<group>"; };
  19764EEE297D3AC9009F3E5D /* BenchmarkSuite.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = BenchmarkSuite.swift; sourceTree = "<group>"; };
  21075DC829788ED400311461 /* FLiOSModel.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = FLiOSModel.swift; sourceTree = "<group>"; };
+ 210BBB7E2AA5D04500B283AC /* flwr */ = {isa = PBXFileReference; lastKnownFileType = wrapper; name = flwr; path = ../../src/swift/flwr; sourceTree = "<group>"; };
+ 210BBB7F2AA5D10C00B283AC /* MLFlwrClient.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = MLFlwrClient.swift; sourceTree = "<group>"; };
+ 210BBB802AA5D10C00B283AC /* MLFlwrClientModel.swift */ = {isa = PBXFileReference; lastKnownFileType = sourcecode.swift; path = MLFlwrClientModel.swift; sourceTree = "<group>"; };
  21A77A6F2865B22A0062EBD8 /* Array+Extensions.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = "Array+Extensions.swift"; sourceTree = "<group>"; };
  21A77A702865B22A0062EBD8 /* Math.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = Math.swift; sourceTree = "<group>"; };
  21A77A712865B22A0062EBD8 /* UIImage+CVPixelBuffer.swift */ = {isa = PBXFileReference; fileEncoding = 4; lastKnownFileType = sourcecode.swift; path = "UIImage+CVPixelBuffer.swift"; sourceTree = "<group>"; };
@@ -229,7 +233,6 @@
  buildActionMask = 2147483647;
  files = (
  50B5A2C6294C848000B0ABC6 /* flwr in Frameworks */,
- 216A90382A0CBE5400E0B532 /* flwr in Frameworks */,
  );
  runOnlyForDeploymentPostprocessing = 0;
  };
@@ -246,6 +249,14 @@
  path = Benchmark;
  sourceTree = "<group>";
  };
+ 210BBB7D2AA5D04500B283AC /* Packages */ = {
+ isa = PBXGroup;
+ children = (
+ 210BBB7E2AA5D04500B283AC /* flwr */,
+ );
+ name = Packages;
+ sourceTree = "<group>";
+ };
  21A77A6E2865B22A0062EBD8 /* CoreMLHelpers */ = {
  isa = PBXGroup;
  children = (
@@ -346,6 +357,8 @@
  21A77B162865B23D0062EBD8 /* CoreMLClient */ = {
  isa = PBXGroup;
  children = (
+ 210BBB7F2AA5D10C00B283AC /* MLFlwrClient.swift */,
+ 210BBB802AA5D10C00B283AC /* MLFlwrClientModel.swift */,
  50CDF0E0299D807300AEBD55 /* DataLoader.swift */,
  21A77B202865B3B10062EBD8 /* MLModelInspect.swift */,
  50EB97C929AC9C94000AC771 /* Constants.swift */,
@@ -363,6 +376,7 @@
  21B540642865B14000185DEE = {
  isa = PBXGroup;
  children = (
+ 210BBB7D2AA5D04500B283AC /* Packages */,
  21B5406F2865B14000185DEE /* FLiOS */,
  21B5406E2865B14000185DEE /* Products */,
  21A77B2E2865B5420062EBD8 /* Frameworks */,
@@ -440,7 +454,6 @@
  name = FLiOS;
  packageProductDependencies = (
  50B5A2C5294C848000B0ABC6 /* flwr */,
- 216A90372A0CBE5400E0B532 /* flwr */,
  );
  productName = FlowerCoreML;
  productReference = 21B5406D2865B14000185DEE /* FLiOS.app */;
@@ -471,7 +484,6 @@
  );
  mainGroup = 21B540642865B14000185DEE;
  packageReferences = (
- 216A90362A0CBE5400E0B532 /* XCRemoteSwiftPackageReference "flower-swift" */,
  );
  productRefGroup = 21B5406E2865B14000185DEE /* Products */;
  projectDirPath = "";
@@ -522,6 +534,7 @@
  21A77ADC2865B22B0062EBD8 /* BayesianProbitRegressor.proto in Sources */,
  21A77ADE2865B22B0062EBD8 /* Gazetteer.proto in Sources */,
  21A77ADB2865B22B0062EBD8 /* SoundAnalysisPreprocessing.pb.swift in Sources */,
+ 210BBB822AA5D10C00B283AC /* MLFlwrClient.swift in Sources */,
  21A77AC32865B22B0062EBD8 /* Array+Extensions.swift in Sources */,
  21A77B152865B22B0062EBD8 /* Scaler.pb.swift in Sources */,
  21A77B092865B22B0062EBD8 /* Parameters.pb.swift in Sources */,
@@ -585,6 +598,7 @@
  21A77AF72865B22B0062EBD8 /* ItemSimilarityRecommender.pb.swift in Sources */,
  21A77AD92865B22B0062EBD8 /* FeatureVectorizer.proto in Sources */,
  21A77B012865B22B0062EBD8 /* TextClassifier.proto in Sources */,
+ 210BBB812AA5D10C00B283AC /* MLFlwrClientModel.swift in Sources */,
  21A77B0F2865B22B0062EBD8 /* LinkedModel.proto in Sources */,
  21A77ADF2865B22B0062EBD8 /* MIL.pb.swift in Sources */,
  21A77AE52865B22B0062EBD8 /* GLMRegressor.pb.swift in Sources */,
@@ -804,23 +818,7 @@
  };
 /* End XCConfigurationList section */
 
-/* Begin XCRemoteSwiftPackageReference section */
- 216A90362A0CBE5400E0B532 /* XCRemoteSwiftPackageReference "flower-swift" */ = {
- isa = XCRemoteSwiftPackageReference;
- repositoryURL = "https:/adap/flower-swift.git";
- requirement = {
- branch = main;
- kind = branch;
- };
- };
-/* End XCRemoteSwiftPackageReference section */
-
 /* Begin XCSwiftPackageProductDependency section */
- 216A90372A0CBE5400E0B532 /* flwr */ = {
- isa = XCSwiftPackageProductDependency;
- package = 216A90362A0CBE5400E0B532 /* XCRemoteSwiftPackageReference "flower-swift" */;
- productName = flwr;
- };
  21A77B312865B55D0062EBD8 /* Flower */ = {
  isa = XCSwiftPackageProductDependency;
  productName = Flower;

src/swift/flwr/Sources/Flower/CoreML/MLFlwrClient.swift → examples/ios/FLiOS/CoreMLClient/MLFlwrClient.swift

@@ -10,6 +10,7 @@ import NIOCore
 import NIOPosix
 import CoreML
 import os
+import flwr
 
 /// Set of CoreML machine learning task options.
 public enum MLTask {
@@ -55,6 +56,7 @@ public class MLFlwrClient: Client {
 
  private var compiledModelUrl: URL
  private var tempModelUrl: URL
+ private var modelUrl: URL
 
  private let log = Logger(subsystem: Bundle.main.bundleIdentifier ?? "flwr.Flower",
  category: String(describing: MLFlwrClient.self))
@@ -65,8 +67,9 @@ public class MLFlwrClient: Client {
  /// - layerWrappers: A MLLayerWrapper struct that contains layer information.
  /// - dataLoader: A MLDataLoader struct that contains train- and testdata batches.
  /// - compiledModelUrl: An URL specifying the location or path of the compiled model.
- public init(layerWrappers: [MLLayerWrapper], dataLoader: MLDataLoader, compiledModelUrl: URL) {
- self.parameters = MLParameter(layerWrappers: layerWrappers)
+ public init(layerWrappers: [MLLayerWrapper], dataLoader: MLDataLoader, compiledModelUrl: URL, modelUrl: URL) {
+ self.modelUrl = modelUrl
+ self.parameters = MLParameter(layerWrappers: layerWrappers, modelUrl: modelUrl, compiledModelUrl: compiledModelUrl)
  self.eventLoopGroup = MultiThreadedEventLoopGroup(numberOfThreads: 1)
  self.dataLoader = dataLoader
  self.compiledModelUrl = compiledModelUrl
@@ -85,6 +88,7 @@ public class MLFlwrClient: Client {
  ///
  /// - Returns: Parameters from the local model
  public func getParameters() -> GetParametersRes {
+ parameters.initializeParameters()
  let parameters = parameters.weightsToParameters()
  let status = Status(code: .ok, message: String())
 
@@ -128,7 +132,7 @@ public class MLFlwrClient: Client {
  }
 
  let progressHandler: (MLUpdateContext) -> Void = { contextProgress in
- let loss = String(format: "%.4f", contextProgress.metrics[.lossValue] as! Double)
+ let loss = String(format: "%.20f", contextProgress.metrics[.lossValue] as! Float)
  switch task {
  case .train:
  self.log.info("Epoch \(contextProgress.metrics[.epochIndex] as! Int + 1) finished with loss \(loss)")
@@ -143,8 +147,8 @@ public class MLFlwrClient: Client {
  self.saveModel(finalContext)
  }
 
- let loss = finalContext.metrics[.lossValue] as! Double
- let result = MLResult(loss: loss, numSamples: dataset.count, accuracy: (1.0 - loss) * 100)
+ let loss = String(format: "%.20f", finalContext.metrics[.lossValue] as! Double)
+ let result = MLResult(loss: Double(loss)!, numSamples: dataset.count, accuracy: (1.0 - Double(loss)!) * 100)
  promise?.succeed(result)
  }
 

src/swift/flwr/Sources/Flower/CoreML/MLFlwrClientModel.swift → examples/ios/FLiOS/CoreMLClient/MLFlwrClientModel.swift

@@ -8,6 +8,11 @@
 import Foundation
 import CoreML
 import os
+import flwr
+
+typealias Model = CoreML_Specification_Model
+typealias NeuralNetwork = CoreML_Specification_NeuralNetwork
+typealias NeuralNetworkLayer = CoreML_Specification_NeuralNetworkLayer
 
 /// Container for train and test dataset.
 public struct MLDataLoader {
@@ -47,15 +52,22 @@ public class MLParameter {
  private var parameterConverter = ParameterConverter.shared
 
  var layerWrappers: [MLLayerWrapper]
+ var model: Model?
+ let modelUrl: URL
+ let compiledModelUrl: URL
+
  private let log = Logger(subsystem: Bundle.main.bundleIdentifier ?? "flwr.Flower",
  category: String(describing: MLParameter.self))
 
  /// Inits MLParameter class that contains information about the model parameters and implements routines for their update and transformation.
  ///
  /// - Parameters:
  /// - layerWrappers: Information about the layer provided with primitive data types.
- public init(layerWrappers: [MLLayerWrapper]) {
+ public init(layerWrappers: [MLLayerWrapper], modelUrl: URL, compiledModelUrl: URL) {
  self.layerWrappers = layerWrappers
+ self.modelUrl = modelUrl
+ self.compiledModelUrl = compiledModelUrl
+ self.model = try? Model(serializedData: try Data(contentsOf: modelUrl))
  }
 
  /// Converts the Parameters structure to MLModelConfiguration to interface with CoreML.
@@ -81,19 +93,28 @@ public class MLParameter {
 
  layerWrappers[index].weights = weightsArray
  if layerWrappers[index].isUpdatable {
- if let weightsMultiArray = parameterConverter.dataToMultiArray(data: data) {
- let weightsShape = weightsMultiArray.shape.map { Int16(truncating: $0) }
- guard weightsShape == layerWrappers[index].shape else {
- log.info("shape not the same")
+ guard model?.neuralNetwork.layers != nil else {
+ continue
+ }
+ for (indexB, neuralNetworkLayer) in model!.neuralNetwork.layers.enumerated() {
+ guard layerWrappers[index].name == neuralNetworkLayer.name else {
+ continue
+ }
+ switch neuralNetworkLayer.layer! {
+ case .convolution:
+ model!.neuralNetwork.layers[indexB].convolution.weights.floatValue = layerWrappers[index].weights
+ case .innerProduct:
+ model!.neuralNetwork.layers[indexB].innerProduct.weights.floatValue = layerWrappers[index].weights
+ default:
+ log.info("unexpected layer \(neuralNetworkLayer.name)")
  continue
  }
- let paramKey = MLParameterKey.weights.scoped(to: layerWrappers[index].name)
- config.parameters?[paramKey] = weightsMultiArray
  }
  }
  }
  }
 
+ exportModel()
  return config
  }
 
@@ -108,6 +129,47 @@ public class MLParameter {
  return Parameters(tensors: dataArray, tensorType: "ndarray")
  }
 
+ private func exportModel() {
+ let modelFileName = modelUrl.deletingPathExtension().lastPathComponent
+ let fileManager = FileManager.default
+ let tempModelUrl = appDirectory.appendingPathComponent("temp\(modelFileName).mlmodel")
+ try? model?.serializedData().write(to: tempModelUrl)
+ if let compiledTempModelUrl = try? MLModel.compileModel(at: tempModelUrl) {
+ _ = try? fileManager.replaceItemAt(compiledModelUrl, withItemAt: compiledTempModelUrl)
+ }
+ }
+
+ func initializeParameters() {
+ guard ((model?.neuralNetwork.layers) != nil) else {
+ return
+ }
+ for (indexA, neuralNetworkLayer) in model!.neuralNetwork.layers.enumerated() {
+ for (indexB, layer) in layerWrappers.enumerated() {
+ if layer.name != neuralNetworkLayer.name { continue }
+ switch neuralNetworkLayer.layer! {
+ case .convolution:
+ let convolution = neuralNetworkLayer.convolution
+ //shape definition = [outputChannels, kernelChannels, kernelHeight, kernelWidth]
+ let upperLower = Float(6.0 / Float(Int16(convolution.outputChannels) + Int16(convolution.kernelChannels) + Int16(convolution.kernelSize[0]) + Int16(convolution.kernelSize[1]))).squareRoot()
+ let initialise = (0..<(neuralNetworkLayer.convolution.weights.floatValue.count)).map { _ in Float.random(in: -upperLower...upperLower) }
+ model?.neuralNetwork.layers[indexA].convolution.weights.floatValue = initialise
+ layerWrappers[indexB].weights = initialise
+ case .innerProduct:
+ let innerProduct = neuralNetworkLayer.innerProduct
+ //shape definition = [C_out, C_in].
+ let upperLower = Float(6.0 / Float(Int16(innerProduct.outputChannels) + Int16(innerProduct.inputChannels))).squareRoot()
+ let initialise = (0..<(neuralNetworkLayer.innerProduct.weights.floatValue.count)).map { _ in Float.random(in: -upperLower...upperLower) }
+ model?.neuralNetwork.layers[indexA].innerProduct.weights.floatValue = initialise
+ layerWrappers[indexB].weights = initialise
+ default:
+ log.info("unexpected layer \(neuralNetworkLayer.name)")
+ continue
+ }
+ }
+ }
+ exportModel()
+ }
+
  /// Updates the layers given the CoreML update context
  ///
  /// - Parameters:

examples/ios/FLiOS/FLiOSModel.swift

@@ -131,7 +131,8 @@ public class FLiOSModel: ObservableObject {
  let layerWrappers = modelInspect.getLayerWrappers()
  self.mlFlwrClient = MLFlwrClient(layerWrappers: layerWrappers,
  dataLoader: dataLoader,
- compiledModelUrl: compiledModelUrl)
+ compiledModelUrl: compiledModelUrl,
+ modelUrl: url)
  case .local:
  self.localClient = LocalClient(dataLoader: dataLoader, compiledModelUrl: compiledModelUrl)
  }
@@ -203,7 +204,7 @@ class LocalClient {
 
  func runMLTask(statusHandler: @escaping (Constants.TaskStatus) -> Void,
  numEpochs: Int,
- task: flwr.MLTask
+ task: MLTask
  ) {
  let dataset: MLBatchProvider
  let configuration = MLModelConfiguration()