executorch_flutter 0.2.0

ExecuTorch ML inference for Flutter using dart:ffi. Supports Android, iOS, macOS, Linux, Windows, and Web.

Changelog

0.2.0 Unreleased

Added

• Native Assets build system with prebuilt binary support
• Build configuration via pubspec.yaml (debug mode, backends, versions)
• BackendQuery API for runtime backend availability checks
  • BackendQuery.isAvailable(Backend) - Check if a specific backend is compiled in
  • BackendQuery.available - Get list of all available backends
• Backend filtering in example app - only shows models for available backends
• Vulkan backend available as opt-in experimental feature on all native platforms
  • macOS: MoltenVK bundled with prebuilt binaries (Vulkan-to-Metal translation)
  • Known issues documented in README (Android UBO limits, experimental status)
• Integration tests for backend query functionality
• Windows x64 platform support
• Linux x64 and arm64 platform support
• iOS Simulator support (arm64 and x86_64)
• macOS x86_64 (Intel Mac) support
• Android x86_64 architecture for emulator testing
• Windows and Linux CI workflows

Changed

• Migrate from Pigeon to FFI for native communication
• Reduce memory copying during tensor operations with direct FFI access
• Prebuilt binaries now download automatically (faster builds)
• Default build mode is now "prebuilt" for faster development

Removed

• Swift Package Manager dependency (replaced by Native Assets)
• Pigeon-based method channels

0.1.1

Example App Improvements

• Models are now downloaded from remote GitHub repository instead of bundled in assets
• Significantly reduces app size by loading models on-demand
• Added cache-busting for GitHub model requests to ensure fresh downloads
• Updated integration tests to download models from remote URL

Bug Fixes

• Fixed camera provider defaulting to OpenCV on all platforms for better compatibility
• Fixed broken pipe errors in integration test script

Dependencies

• Fixed plugin_platform_interface version constraint

0.1.0

• Web Platform Support: WebAssembly with XNNPACK backend
• Added Docker-based Wasm build system
• Added setup_web CLI tool for web project setup

0.0.6

• Android fix Crash on model reuse

0.0.5

Bug Fixes

• Android: Added ProGuard rules to prevent crashes in release builds when loading models
• iOS: Fixed camera initialization by using bgra8888 image format instead of yuv420

0.0.4

Improvements

• Converted internal Pigeon API to async for better thread safety on iOS/macOS
• Fixed race conditions in example app when disposing models during camera mode
• Fixed UI getting stuck in camera mode when model loading fails

Code Quality

• Fixed 100+ static analysis issues
• Removed 9 deprecated lint rules (Dart 3.0-3.7)
• Migrated to Flutter 3.32+ RadioGroup API
• Added documentation for ProcessorException classes
• Removed dead code in example app renderers and controllers

0.0.3

• Upgraded ExecuTorch to 1.0.1 on all platforms
• No API changes from 0.0.2

0.0.2

• Fixed Swift 6 compilation errors for Xcode 16+

0.0.1

Initial release with Android, iOS, and macOS support.

• Type-safe Pigeon API
• Async model loading and inference
• XNNPACK, CoreML, MPS backends
• Example app with classification and detection demos