ej.microai

Class OutputTensor

java.lang.Object

ej.microai.Tensor

ej.microai.OutputTensor

public class OutputTensor
extends Tensor

The OutputTensor class offers services to deal with MicroAI output tensors.

OutputTensor is an output of your MLInferenceEngine.

Nested Class Summary

Nested classes/interfaces inherited from class ej.microai.Tensor

Tensor.DataType, Tensor.QuantizationParameters

Method Summary

Modifier and Type	Method and Description
void	getOutputData(byte[] outputData) Gets the output data of the tensor.
void	getOutputData(float[] outputData) Gets the output data of the tensor.
void	getOutputData(int[] outputData) Gets the output data of the tensor.

Methods inherited from class ej.microai.Tensor

getDataType, getNumberBytes, getNumberDimensions, getNumberElements, getQuantizationParams, getShape, isQuantized

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

getOutputData

public void getOutputData(byte[] outputData)

Gets the output data of the tensor.

outputData is an array of signed or unsigned bytes.

Parameters:

outputData - the inference result as byte array.

getOutputData

public void getOutputData(float[] outputData)

Gets the output data of the tensor.

outputData is a float array.

Parameters:

outputData - the inference result as float array.

getOutputData

public void getOutputData(int[] outputData)

Gets the output data of the tensor.

outputData is an array of signed or unsigned integers.

Parameters:

outputData - the inference result as integer array.