ej.microai

Class InputTensor

java.lang.Object

ej.microai.Tensor

ej.microai.InputTensor

public class InputTensor
extends Tensor

The InputTensor class offers services to deal with MicroAI input tensors.

InputTensor is an input 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	setInputData(byte[] inputData) Loads the input data into the input tensor.
void	setInputData(float[] inputData) Loads the input data into the input tensor.
void	setInputData(int[] inputData) Loads the input data into the input 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

setInputData

public void setInputData(byte[] inputData)

Loads the input data into the input tensor.

inputData is an array of signed or unsigned bytes.

Parameters:

inputData - the data to be loaded into the tensor.

setInputData

public void setInputData(float[] inputData)

Loads the input data into the input tensor.

inputData is a float array.

Parameters:

inputData - the data to be loaded into the tensor.

setInputData

public void setInputData(int[] inputData)

Loads the input data into the input tensor.

inputData is an array of signed or unsigned integer.

Parameters:

inputData - the data to be loaded into the tensor.