loadLiteRTModel

Load pretrained LiteRT model file

Since R2026a

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    Syntax

    model = loadLiteRTModel(modelFileName)
    model = loadLiteRTModel(modelFileName,ExecutionMode=ExecutionMode)

    Description

    Add-On Required: This feature requires the MATLAB Coder Support Package for PyTorch and LiteRT Models add-on.

    model = loadLiteRTModel(modelFileName) loads a pretrained LiteRT model file.

    example

    model = loadLiteRTModel(modelFileName,ExecutionMode=ExecutionMode) loads a pretrained LiteRT model file using the specified execution mode.

    example

    Examples

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    This example uses:

    Open Live Script

    Suppose that you have a LiteRT model named siso.tflite that takes one input and returns one output. Create a LiteRTModel object.

    myModel = loadLiteRTModel("siso.tflite")
    Loading the model. This may take a few minutes.

    myModel = 
  LiteRTModel contained in siso.tflite: 

                          Input Specifications                       
    _________________________________________________________________

    Input     Name                    Size                     Type  
    _____    _______    _________________________________    ________
                                                                     
      1      "image"    "<variable-size> x 128 x 128 x 3"    "single"


                      Output Specifications                  
    _________________________________________________________

    Output       Name               Size               Type  
    ______    __________    _____________________    ________
                                                             
      1       "output_0"    "<variable-size> x 1"    "single"


    properties: 
        ModelPath                         -      Path to the model file
        FcnNames                          -      Names of the functions in the model
    methods: 
        invoke                            -      Performs forward inference by invoking a function in the model
        inputSpecifications               -      Returns the input specifications of the model or of a specific function in the model
        outputSpecifications              -      Returns the output specifications of the model or of a specific function in the model
        summary                           -      Displays the input and output specifications of the model or of a specific function in the model

    This example uses:

    Open Live Script

    Suppose that you have a LiteRT model named mimo.tflite that takes multiple inputs and returns multiple outputs.

    Create a LiteRTModel object by using the MEX execution mode. To use the MEX execution mode, you must install a supported C compiler. For more information about setting up the C/C++ compiler, see Installing and Configuring Prerequisite Products.

    myModel = loadLiteRTModel("mimo.tflite",ExecutionMode="MEX")
    Loading the model. This may take a few minutes.

    myModel = 
  LiteRTModel contained in mimo.tflite: 

                       Input Specifications                    
    ___________________________________________________________

    Input        Name                 Size               Type  
    _____    ____________    ______________________    ________
                                                               
      1      "features_a"    "<variable-size> x 16"    "single"
      2      "features_b"    "<variable-size> x 8"     "single"


                      Output Specifications                  
    _________________________________________________________

    Output       Name               Size               Type  
    ______    __________    _____________________    ________
                                                             
      1       "output_1"    "<variable-size> x 2"    "single"
      2       "output_0"    "<variable-size> x 4"    "single"


    properties: 
        ModelPath                         -      Path to the model file
        FcnNames                          -      Names of the functions in the model
    methods: 
        invoke                            -      Performs forward inference by invoking a function in the model
        inputSpecifications               -      Returns the input specifications of the model or of a specific function in the model
        outputSpecifications              -      Returns the output specifications of the model or of a specific function in the model
        summary                           -      Displays the input and output specifications of the model or of a specific function in the model

    Input Arguments

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    Name of the LiteRT model file, specified as a character vector or a scalar string.

    Example: "myModelName"

    Example: "myfolder/myModelName"

    Execution mode to use for MATLAB simulation behavior, specified as "JIT" or "MEX".

    JIT code is incompatible with the OpenMP application interface. JIT execution mode does not support multi-threading. If you want to parallelize for-loops, use MEX execution mode. You must install a supported C compiler to use the MEX execution mode. For more information about setting up the C/C++ compiler, see Installing and Configuring Prerequisite Products.

    Output Arguments

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    LiteRT model, returned as a LiteRTModel object.

    Limitations

    You must train the model using TensorFlow 2 or Keras 3, and convert it to LiteRT format. loadLiteRTModel does not support loading:

    Extended Capabilities

    expand all

    C/C++ Code Generation
    Generate C and C++ code using MATLAB® Coder™.

    GPU Code Generation
    Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

    Version History

    Introduced in R2026a

    See Also

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