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Tensor.QuantizationParams

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)

Summary

Public constructors
`QuantizationParams(scale: Float, zeroPoint: Int)` Creates a `QuantizationParams` with `scale` and `zero_point`.

Public properties
`Float`	`scale` The scale value used in quantization.
`Int`	`zeroPoint` The zero point value used in quantization.

QuantizationParams(scale: Float, zeroPoint: Int)

Creates a QuantizationParams with scale and zero_point.

Parameters
`scale: Float`	The scale value used in quantization.
`zeroPoint: Int`	The zero point value used in quantization.

val scale: Float

The scale value used in quantization.

val zeroPoint: Int

The zero point value used in quantization.