OutputTensor (microai 2.1.0 API)

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

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