View Source API Reference tflite_elixir v0.3.7
Modules
This module contains some helper functions from the tflite
namespace in TensorFlow Lite's codebase.
This module contains libcoral C++ API, which provides convenient functions to perform inferencing and on-device transfer learning with TensorFlow Lite models on Coral devices.
ErrorReporter to provide reporting destinations.
An RAII object that represents a read-only tflite model, copied from disk, or mmapped.
Experimental image classification module.
An interpreter for a graph of nodes that input and output from tensors.
Build an interpreter capable of interpreting model.
This built-in op resolver provides a list of TfLite delegates that could be applied by TfLite interpreter by default.
Quantization parameters that corresponds to the table QuantizationParameters in the TFLite Model schema file.
A typed multi-dimensional array used in Tensorflow Lite.
Runs basic tokenization such as punctuation spliting, lower casing.
Runs end-to-end tokenization.
Runs WordPiece tokenziation.
Mix Tasks
Image classification mix task: mix help classify_image
Image detection mix task: mix help detect_image
List all available Edge Tpu mix task: mix help list_edgetpu