MLP Mojo

Structs

struct MLP

A Mojo wrapper for a PyTorch MLP model using Python interop.

For example usage, see TorchMlp.mojo in the Examples folder.

Traits: AnyType, Copyable, Movable, UnknownDestructibility

MLP Parameters

Name	Type	Default	Description
input_size	Int	2	The size of the input vector.
output_size	Int	16	The size of the output vector.

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MLP Functions

struct MLP . fn init

Initialize the MLP struct.

fn init Signature

__init__(out self, world: UnsafePointer[MMMWorld], file_name: String, namespace: Optional[String] = None, trig_rate: Float64 = 25)

fn init Arguments

Name	Type	Default	Description
world	UnsafePointer	—	Pointer to the MMMWorld.
file_name	String	—	The path to the model file.
namespace	Optional	None	Optional namespace for the Messenger.
trig_rate	Float64	25	The rate in Hz at which to trigger inference.

fn init Returns : Self

Static Method

This is a static method.

struct MLP . fn reload_model

Reload the MLP model from a specified file.

fn reload_model Signature

reload_model(mut self: MLP[input_size, output_size], var file_name: String)

fn reload_model Arguments

Name	Type	Default	Description
file_name	String	—	The path to the model file.

struct MLP . fn next

Function for Audio Thread. Call this function every sample in the audio thread. The MLP will only perform inference at the rate specified by trig_rate (and if inference_gate is True).

The model input is taken from model_input, and the output is written to model_output. fn next Signature

next(mut self: MLP[input_size, output_size])

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Documentation generated with mojo doc from Mojo version 0.25.6.1