"Last year, I upgraded to an M2 Max laptop, expecting that tensorflow-metal would facilitate effective local prototyping utilizing the Apple Silicon's capabilities. It has been quite some time since tensorflow-metal was last updated, and there appear to be several unresolved issues noted by the community here. I've personally observed the following behavior with my setup: Without tensorflow-metal: import tensorflow as tf for _ in range(10): print(tf.random.normal((3,)).numpy()) [-1.4213976 0.08230731 -1.1260201 ] [ 1.2913705 -0.47693467 -1.2886043 ] [ 0.09144169 -1.0892165 0.9313669 ] [ 1.1081179 0.9865657 -1.0298151] [ 0.03328908 -0.00655857 -0.02662632] [-1.002391 -1.1873596 -1.1168724] [-1.2135247 -1.2823236 -1.0396363] [-0.03492929 -0.9228362 0.19147137] [-0.59353966 0.502279 0.80000925] [-0.82247525 -0.13076428 0.99579334] With tensorflow-metal: import tensorflow as tf for _ in range(10): print(tf.random.normal((3,)).numpy()) [ 1.0031303 0.8095635 -0.0610961] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] [-1.3544159 0.7045493 0.03666191] Given these observations, it seems there may be an issue with the randomness of tf.random.normal when using tensorflow-metal. My current setup includes MacOS 14.5, tensorflow 2.14.1, and tensorflow-macos 2.14.1. I am interested in understanding if there are known solutions or workarounds for this behavior. Furthermore, could anyone provide an update on whether tensorflow-metal is still being actively developed, or if alternative approaches are recommended for utilizing the GPU capabilities of this hardware?

We're using App Intents to launch are control our app via Siri. Siri's responses have been fairly random, some with a "Done" popup, others with a verbal confirmation, others saying "I'm sorry, there's been a problem". The latter is bogus and doesn't look good to potential investors when the app is actually working fine. There appears to be no way in code that I've been able to find so far that would have been tell Siri to STFU. Let us handle our own errors. Otherwise is there a means to supply Siri with a dictionary of restored messages that could be triggered inside the app?

Hi, I have a AppEnum and I try to use a custom SF Symbol as DisplayRepresentation.Image but it's not working. I get a blank image when AppEnum picker appears. The custom SF Symbol is stored in the target's asset catalog and it works in the target (eg: Image(named: "custom_sfsymbol"). The issue occurs when I try to use it in a DisplayRepresentation static var caseDisplayRepresentations: [Self: DisplayRepresentation] = [ .sample : DisplayRepresentation(title: "sample_title", image: DisplayRepresentation.Image(named: "custom_sfsymbol")), Can we use a custom SF Symbol in a DisplayRepresentation.Image?

I have followed the SoupChef example in migrating Custom Intents from SiriKit to AppIntents. However, we only require one iOS release back, so we can require iOS 17. Thus, I eliminated everything that was strictly for backwards compatibility, most notably the SiriKit Extension that required enormous amounts of code to try to coordinate with the real app which worked poorly anyway. I tested for example that an NFC tag Automation created in Shortcuts works to execute an AppIntent while the app is backgrounded. I am now receiving a beta report that indicates someone trying to execute one of our migrated AppIntents from their HomePod is not working, and they say it used to work sometimes (not all the time). I'm sure most such cases used to require the SiriKit Extension in the old SiriKit world. I am terrified that I may need to rebuild that monster once again when the new (to me) AppIntent API seemed so beautiful without it and seemed to work without it. The AppIntent API documentation seems to indicate that SiriKit Extensions are no longer related or required. What is the truth here? Do I need to re-implement everything twice in the SiriKit Extension like a barbarian, or can we live in the new world with AppIntents? Thank you.

I am very new to App Intents and I am trying to add them to my On Device LLM ChatBot app so my users can get answers to any questions anywhere in iOS. I have the following code and it is working wonderfully in the Shortcuts app. import AppIntents struct AskAi: AppIntent { static var openAppWhenRun: Bool = false static let title: LocalizedStringResource = "Ask Ai About" static let description = "Gets an answer from Ai for your question." @Parameter(title: "Question") var question: String static var parameterSummary: some ParameterSummary { Summary("Ask Ai About \(\.$question)") } @MainActor func perform() async throws -> some IntentResult & ReturnsValue<String> { let bot: Bot = Bot() await bot.respond(to: self.question) return .result( value: bot.output ) } } class AppShortcuts: AppShortcutsProvider { static var appShortcuts: [AppShortcut] { AppShortcut( intent: AskAi(), phrases: [ "Ask \(.applicationName) \(\.$question)", "Get \(.applicationName) answer for \(\.$question)", "Open \(\.$question) using \(.applicationName) ", "Using \(.applicationName) get help with \(\.$question)" ], shortTitle: "Ask Ai", systemImageName: "sparkles" ) } } I can create a shortcut for this AppIntent and that allows me say speak the response. I can call my shortcut via iOS 18 Beta 1 by the Shortcut name I set in the Shortcuts app and that allows it to work. It does not work at all by just Asking Siri any of the phrases I have defined. The info.plist has an app name alias defined just to be sure. I even added the Siri capability in Xcode-beta. I also tried using the ProvidesDialog return type too. Whatever I do the AppIntent is invisible to Siri. Siri tries to search the web, looking for my app name in the contacts or have an error Apple Cash which has nothing to do with what I was talking about. Is there anything else I am missing for setting up iOS AppIntents to work with Siri?

Enhance Dialogue not showing for me as an option anywhere .I’m using an Apple TV 4K 1st Generation running IOS 18 public beta ,JBL soundbar and LG OLED all have eARC.

When I add AppEnity to my model, I receive this error that is still repeated for each attribute in the model. The models are already marked for Widget Extension in Target Membership. I have already cleaned and restarted, nothing works. Will anyone know what I'm doing wrong? Unable to find matching source file for path "@_swiftmacro_21HabitWidgetsExtension0A05ModelfMm.swift" import SwiftData import AppIntents enum FrecuenciaCumplimiento: String, Codable { case diario case semanal case mensual } @Model final class Habit: AppEntity { @Attribute(.unique) var id: UUID var nombre: String var descripcion: String var icono: String var color: String var esHabitoPositivo: Bool var valorObjetivo: Double var unidadObjetivo: String var frecuenciaCumplimiento: FrecuenciaCumplimiento static var typeDisplayRepresentation: TypeDisplayRepresentation = "Hábito" static var defaultQuery = HabitQuery() var displayRepresentation: DisplayRepresentation { DisplayRepresentation(title: "\(nombre)") } static var allHabits: [Habit] = [ Habit(id: UUID(), nombre: "uno", descripcion: "", icono: "circle", color: "#BF0000", esHabitoPositivo: true, valorObjetivo: 1.0, unidadObjetivo: "", frecuenciaCumplimiento: .mensual), Habit(id: UUID(), nombre: "dos", descripcion: "", icono: "circle", color: "#BF0000", esHabitoPositivo: true, valorObjetivo: 1.0, unidadObjetivo: "", frecuenciaCumplimiento: .mensual) ] /* static func loadAllHabits() async throws { do { let modelContainer = try ModelContainer(for: Habit.self) let descriptor = FetchDescriptor<Habit>() allHabits = try await modelContainer.mainContext.fetch(descriptor) } catch { // Manejo de errores si es necesario print("Error al cargar hábitos: \(error)") throw error } } */ init(id: UUID = UUID(), nombre: String, descripcion: String, icono: String, color: String, esHabitoPositivo: Bool, valorObjetivo: Double, unidadObjetivo: String, frecuenciaCumplimiento: FrecuenciaCumplimiento) { self.id = id self.nombre = nombre self.descripcion = descripcion self.icono = icono self.color = color self.esHabitoPositivo = esHabitoPositivo self.valorObjetivo = valorObjetivo self.unidadObjetivo = unidadObjetivo self.frecuenciaCumplimiento = frecuenciaCumplimiento } @Relationship(deleteRule: .cascade) var habitRecords: [HabitRecord] = [] } struct HabitQuery: EntityQuery { func entities(for identifiers: [Habit.ID]) async throws -> [Habit] { //try await Habit.loadAllHabits() return Habit.allHabits.filter { identifiers.contains($0.id) } } func suggestedEntities() async throws -> [Habit] { //try await Habit.loadAllHabits() return Habit.allHabits// .filter { $0.isAvailable } } func defaultResult() async -> Habit? { try? await suggestedEntities().first } }

I create an app that allow user tap on button in widget but when app is running it's got an error when tap: Could not find an intent with identifier AppIntentsIdentifier , mangled TypeName: Optional("Somethings")

I would like to split up my intents into smaller intents with more atomic pieces of functionality that I can then call one intent from another. For example: struct SumValuesIntent: AppIntent { static var title: LocalizedStringResource { "Sum Values" } let a: Int let b: Int init(a: Int, b: Int) { self.a = a self.b = b } init() { self.init(a: 0, b: 0) } func perform() async throws -> some IntentResult { let sum = a + b print("SumValuesIntent:", sum) return .result(value: sum) } } struct PrintValueIntent: AppIntent { static var title: LocalizedStringResource { "Print Value" } let string: String init(string: String) { self.string = string } init() { self.init(string: "") } func perform() async throws -> some IntentResult { print("PrintValueIntent:", string) return .result() } } What is the best way to chain intents like these? I tried .result(opensIntent: PrintValueIntent(string: String(describing: sum))) as the return type of SumValuesIntent.perform but that doesn't seem to work. Then I tried try await PrintValueIntent(string: String(describing: sum)).perform() as the return type and that works but I'm not sure that's the correct way to do it.

I'm trying to use a custom system image for my App Shortcut: AppShortcut( intent: AppOpenIntent(), phrases: ["Open \(.applicationName)"], shortTitle: "Open App", systemImageName: "custom.image" ) I've added custom.image to Images.xcassets for my project, but the shortcuts icon is always blank in the Shortcuts app. Is it possible to use custom system images for app shortcuts?

I'm getting widespread reports from users trialling iOS 17.6 public beta that Siri Shortcuts are failing whenever they enter any text that looks like a URL. It's getting reported to me because my app happens to have an app intent with a string parameter which can contain a URL in some circumstances. However it's easily reproducible outside of my app: just create a 2 line shortcut like the one below. If you change "This is some text" to "https://www.apple.com" the shortcut below will fail: In iOS 17.5 entering "https://www.apple.com" works fine. I've raised feedback on this (FB14206088) but can anyone confirm that this is indeed a bug and not some weird new feature of Shortcuts where the contents of a variable can somehow change the type of a variable? It would be very, very bad if this were so.

I want to implement AppIntent in my Objective-C framework, because we need to design a fast pass to certain function. However, I create a struct inherited from AppIntent, and create a projectName-Bridging-Header.h in my framework just like I did in my project. It seems like framework don't work, I can't find it in shortcuts

I'm looking for a solution to take a picture or point the camera at a piece of clothing and match that image with an image the user has stored in my app. I'm storing the data in a Core Data database as a Binary Data object. Since the user also takes the pictures they store in the database I think I cannot use pre-trained Core ML models. I would like the matching to be done on device if possible instead of going to an external service. That will probably describe the item based on what the AI sees, but then I cannot match the item with the stored images in the app. Does anyone know if this is possible with frameworks as Vision or VisionKit?

I want to implement AppIntent in my framework which is created and choose Objective-C as language, but when I new a swift file and implement AppIntent. then import to my project. the AppIntent didn't work. but I can use AppIntent directly in project.

I am developing an iPhone application. When I start testing in a simulator or on an actual device, I get the following message depending on the model. I don't see any problem with the actual operation of the app, but I don't know how to resolve this error. #FactoryInstall Unable to query results, error: 5 Unable to list voice folder Unable to list voice folder Unable to list voice folder Unable to list voice folder Unable to list voice folder I have tried to resolve the problem by following the steps below, but it hasn’t had any affect on the error. Is it OK to leave this error as it is? If you know how to resolve it, please let me know. Clear the Xcode cache: Go to the path of the DerivedData folder and delete all of its contents. Clean Build folder: Select "Product" -> "Clean Build Folder" from the Xcode menu. Restart: Restart Xcode and the simulator. Software update: Make sure you are using the latest version of Xcode and macOS. Reinstallation: Uninstall Xcode once and reinstall it. Reset the simulator

I just downgraded from iOS 18 to iOS 17.5.1 and Siri not working anymore i cannot even setup i have already make reset the phone and not working:(

I noticed the code snippets are missing from the wwdc2024 10210 video titled Bring your app’s core features to users with App Intents https://developer.apple.com/videos/play/wwdc2024/10210/ It would be useful if those could be added. I also noticed the transcript is missing from the web version but it is in the Developer app, that is odd.

Using App Shortcuts with app intents, Siri only responds to the first shortcut defined in the app shortcut below. struct MementoShortcuts: AppShortcutsProvider { u/AppShortcutsBuilder static var appShortcuts: [AppShortcut] { AppShortcut( intent: SaveLinkIntent(), phrases: ["Add a link to \(.applicationName)", "Add \(\.$url) to \(.applicationName)", "Make a new link in \(.applicationName)", "Create a new link in \(.applicationName) from \(\.$url)"], shortTitle: "Add Link", systemImageName: "link.badge.plus" ) AppShortcut( intent: LinkViewedIntent(), phrases: [ "Mark a link I saved in \(.applicationName) as viewed", "Mark \(\.$link) as viewed in \(.applicationName)", "Set link in \(.applicationName) to viewed", "Change status of \(\.$link) to viewed in \(.applicationName)", ], shortTitle: "Mark Link as Viewed", systemImageName: "book" ) } } I have tried switching the order and she always uses the one that comes first. Both show up in the shortcuts app as an app shortcut, but only one shortcut is recognized by Siri even if I say the other one's phrase.

Hi everyone, I was wondering, on how accurate is the Hand Classification ML? For Example: Is it possible to understand the different letters of the Sign Language Alphabet or is it only capable of recognizing simple poses like a thumbs up?

When in Safari, you can say something like, "Siri, text this link to mom" or "Siri, save this link to reminders" and it will do it with the currently viewed link. Shortcuts also has a "Get what's on screen" action that can be added. How do I expose the user's current context to my App Intent?