View Source API Reference tflite_elixir v0.4.0-rc6
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.
TfLite delegates: graph accelerators an interpreter builder can be given.
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.
An interpreter that lives inside a process, so that feeding it, running it and reading the result back is one step that nothing can interleave with.
Build an interpreter capable of interpreting model.
Experimental object detection module.
This built-in op resolver provides a list of TfLite delegates that could be applied by TfLite interpreter by default.
A runner for one of a model's signatures.
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