flutter_litert 0.1.6

LiteRT (formerly TensorFlow Lite) Flutter plugin. Drop-in on-device ML inference with bundled native libraries for all platforms.

0.1.6

• Upgrade macOS TFLite native library from 2.17.1 to 2.20.0 (latest stable, universal binary: arm64 + x86_64)
• Update all C API headers to TFLite 2.20.0
• Regenerate FFI bindings (TfLiteOperatorCreate now takes 4 params, TfLiteOperatorCreateWithData removed, new kTfLiteOutputShapeNotKnown status, new builtin ops)
• Rebuild macOS custom ops dylib against 2.20.0

0.1.5

• Upgrade macOS TFLite native library from 2.11.0 to 2.17.1 (universal binary: arm64 + x86_64)
• Update all C API headers to TFLite 2.17.1 (including new TfLiteOperator API replacing TfLiteRegistrationExternal)
• Regenerate FFI bindings with new APIs (SignatureRunner, TfLiteInterpreterCancel, and more)
• Rebuild macOS custom ops dylib as universal binary (arm64 + x86_64)

0.1.4

• Bundle libtensorflowlite_c-win.dll from flutter_litert Windows plugin instead of downstream packages

0.1.3

• Fix Windows: build and bundle custom ops DLL (tflite_custom_ops.dll) for MediaPipe models
• Fix heap corruption crash when switching between segmentation models (custom op name string was freed prematurely)

0.1.2

• Fix Linux: build and bundle custom ops library (libtflite_custom_ops.so) so MediaPipe models with custom ops (e.g. selfie segmentation) work on Linux

0.1.1

• Update AndroidManifest.xml

0.1.0

• Fix IsolateInterpreter thread-safety bug causing intermittent native crashes when hardware delegates are active

0.0.1

• Initial release, forked from tflite_flutter_custom v1.2.5
• Rebranded to flutter_litert for LiteRT ecosystem
• All native libraries bundled automatically
• Custom ops support (MediaPipe models)
• Full platform support: Android, iOS, macOS, Windows, Linux