class TensorflowLite::Interpreter

• TensorflowLite::Interpreter
• Reference
• Object

Overview

The Interpreter takes a model, loads it, and allows you to run (or "interpret") the model, i.e., to use it to make predictions based on input data.

Defined in:

Constructors

• .new(model : Model, options : InterpreterOptions)

  provide the model and options required for inference

Instance Method Summary

• #input_tensor(index : Int) : Tensor

  returns the requested input tensor for manipulation and loading of input data

• #input_tensor_count : Int32

  the number of input tensors that are used to feed data into the model

• #inspect(io : IO) : Nil

  Appends a String representation of this object which includes its class name, its object address and the values of all instance variables.

• #invoke : Status

  runs the model and returns the result status

• #invoke!

  run the model, processing the input tensors and updating the output tensors

• #model : Model

  the model this interpreter is running

• #options : InterpreterOptions

  the options used to initialize this interpreter

• #output_tensor(index : Int) : Tensor

  returns the requested output tensor for results extraction

• #output_tensor_count : Int32

  the number of output tensors, used to obtain the results of an invokation

Constructor Detail

Instance Method Detail

class Person
  def initialize(@name : String, @age : Int32)
  end
end

Person.new("John", 32).inspect # => #<Person:0x10fd31f20 @name="John", @age=32>