Tensor.QuantizationParams

public static class Tensor.QuantizationParams

Quantization parameters that corresponds to the table, `QuantizationParameters`, in the TFLite Model schema file.

Since per-channel quantization does not apply to input and output tensors, `scale` and `zero_point` are both single values instead of arrays.

For tensor that are not quantized, the values of scale and zero_point are both 0.

Given a quantized value q, the corresponding float value f should be:
f = scale * (q - zero_point)

### Public Constructors

| QuantizationParams(float scale, int zeroPoint) Creates a `Tensor.QuantizationParams` with `scale` and `zero_point`.

### Public Methods

float | getScale() Returns the scale value.
int | getZeroPoint() Returns the zero point value.

### Inherited Methods

From class java.lang.Object

boolean | equals(Object arg0)
final Class<?> | getClass()
int | hashCode()
final void | notify()
final void | notifyAll()
String | toString()
final void | wait(long arg0, int arg1)
final void | wait(long arg0)
final void | wait()

## Public Constructors

#### public QuantizationParams (float scale, int zeroPoint)

Creates a `Tensor.QuantizationParams` with `scale` and `zero_point`.

##### Parameters

scale | The scale value used in quantization.
zeroPoint | The zero point value used in quantization.

## Public Methods

#### public float getScale ()

Returns the scale value.

#### public int getZeroPoint ()

Returns the zero point value.