ej.microai

Class Tensor.QuantizationParameters

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

Method Summary

Modifier and Type	Method and 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.