Tensor.QuantizationParameters (central-repository 4.0.0-RC API)

java.lang.Object
- ej.microai.Tensor.QuantizationParameters

Enclosing class:

Tensor
```
public static class Tensor.QuantizationParameters
extends Object
```
The QuantizationParameters class represents the quantization parameters used by a MLInferenceEngine.
scale and zeroPoint values are 0 when the tensor is not quantized.
Real values can be quantized using: quantized_value = real_value/scale + zero_point.
Quantized values can be converted back to float using: real_value = scale * (quantized_value - zero_point).

Constructor Summary

Constructors
Constructor Description

QuantizationParameters(int zeroPoint, float scale)
Creates an instance of QuantizationParameters.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`float`	`getScale()`	Gets the scale value of the quantization parameters.
`int`	`getZeroPoint()`	Gets the zero point value of the quantization parameters.

Methods inherited from class java.lang.Object
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - QuantizationParameters
```
public QuantizationParameters(int zeroPoint,
                              float scale)
```
    Creates an instance of QuantizationParameters.
    
    Parameters:
    
    zeroPoint - zero point of quantization
    
    scale - scale of quantization
- Method Detail
  - getScale
```
public float getScale()
```
    Gets the scale value of the quantization parameters.
    
    Returns:
    
    the scale value of the quantization parameters.
  - getZeroPoint
```
public int getZeroPoint()
```
    Gets the zero point value of the quantization parameters.
    
    Returns:
    
    the zero point value of the quantization parameters.