OH_NN_QuantParam

typedef struct OH_NN_QuantParam {...} OH_NN_QuantParam

Overview

Defines the quantization information.

In quantization scenarios, the 32-bit floating-point data type is quantized into the fixed-point data type according to the following formula:

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where, s and z are quantization parameters, which are stored by scale and zeroPoint in OH_NN_QuantParam. r is a floating point number, q is the quantization result, q_min is the lower bound of the quantization result, and q_max is the upper bound of the quantization result. The calculation method is as follows:

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The clamp function is defined as follows:

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Since: 9

Deprecated from: 11

Substitute: NN_QuantParam

Related module: NeuralNetworkRuntime

Header file: neural_network_runtime_type.h

Summary

Member Variables

Name	Description
uint32_t quantCount	Length of the numBits, scale, and zeroPoint arrays. In the per-layer quantization scenario, quantCount is usually set to 1. That is, all channels of a tensor share a set of quantization parameters. In the per-channel quantization scenario, quantCount is usually the same as the number of tensor channels, and each channel uses its own quantization parameters.
const uint32_t *numBits	Number of quantization bits.
const double *scale	Pointer to the scale data in the quantization formula.
const int32_t *zeroPoint	Pointer to the zero point data in the quantization formula.