add nativeapis

Signed-off-by: Nzengyawen <zengyawen1@huawei.com>

en/application-dev/reference/native-apis/_o_h___n_n___quant_param.md

+# OH_NN_QuantParam
+
+
+## Overview
+
+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:
+
+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 an upper bound of a quantization result. The calculation method is as follows:
+
+The clamp function is defined as follows:
+
+**Since:**
+9
+
+**Related Modules:**
+
+[NeuralNeworkRuntime](_neural_nework_runtime.md)
+
+
+## Summary
+
+
+### Member Variables
+
+| Name | Description | 
+| -------- | -------- |
+| [quantCount](#quantcount) | Specifies the 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.  | 
+| [numBits](#numbits) | Number of quantization bits  | 
+| [scale](#scale) | Pointer to the scale data in the quantization formula  | 
+| [zeroPoint](#zeropoint) | Pointer to the zero point data in the quantization formula  | 
+
+
+## Member Variable Description 
+
+
+### numBits
+
+  
+```
+const uint32_t* OH_NN_QuantParam::numBits
+```
+**Description**<br>
+Number of quantization bits
+
+
+### quantCount
+
+  
+```
+uint32_t OH_NN_QuantParam::quantCount
+```
+**Description**<br>
+Specifies the 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.
+
+
+### scale
+
+  
+```
+const double* OH_NN_QuantParam::scale
+```
+**Description**<br>
+Pointer to the scale data in the quantization formula
+
+
+### zeroPoint
+
+  
+```
+const int32_t* OH_NN_QuantParam::zeroPoint
+```
+**Description**<br>
+Pointer to the zero point data in the quantization formula