InputTensor (microai 2.0.0 API)

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

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	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, finalize, 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(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.
  - 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.