tflite_core library
TensorFlow Lite for Flutter
Classes
- ByteConversionUtils
- Converts values between Dart objects and TensorFlow Lite tensor bytes.
- CoreMlDelegate
- Core ML delegate for accelerating inference on Apple platforms.
- CoreMlDelegateOptions
- Options for configuring a Core ML delegate.
- Delegate
- GpuDelegate
- Metal Delegate for iOS
- GpuDelegateOptions
- Metal Delegate options
- GpuDelegateOptionsV2
- Options for configuring the Android GPU delegate.
- GpuDelegateV2
- GPU delegate for Android
- Interpreter
- TensorFlowLite interpreter for running inference on a model.
- InterpreterOptions
- TensorFlowLite interpreter options.
- IsolateInterpreter
- Runs TensorFlow Lite inference in a background isolate.
- QuantizationParams
- Quantization scale and zero point associated with a tensor.
- Tensor
- A TensorFlow Lite input or output tensor.
- TfLiteType
- Types supported by tensor
- XNNPackDelegate
- XNNPACK delegate for CPU inference.
- XNNPackDelegateOptions
- Options for configuring an XNNPACK delegate.
Enums
- IsolateInterpreterState
- Lifecycle state of an IsolateInterpreter worker.
- TensorType
- Data types supported by TensorFlow Lite tensors.
Exceptions / Errors
- ByteConversionError
- An input value cannot be encoded using the requested tensor data type.