# TfLiteAffineQuantization


`#include <common.h>`

Parameters for asymmetric quantization across a dimension (i.e per output channel quantization).

## Summary

quantized_dimension specifies which dimension the scales and zero_points correspond to. For a particular value in quantized_dimension, quantized values can be converted back to float using: `real_value = scale * (quantized_value - zero_point)`

| ### Public attributes ||
|---|---|
| `https://developers.google.com/edge/api/tflite/c/struct/tf-lite-affine-quantization#struct_tf_lite_affine_quantization_1ab59ebe2c790ca6067e9792f2c7eb3a19` | `int32_t` |
| `https://developers.google.com/edge/api/tflite/c/struct/tf-lite-affine-quantization#struct_tf_lite_affine_quantization_1affb59a5c94701600af48d007595e9890` | `https://developers.google.com/edge/api/tflite/c/struct/tf-lite-float-array#struct_tf_lite_float_array *` |
| `https://developers.google.com/edge/api/tflite/c/struct/tf-lite-affine-quantization#struct_tf_lite_affine_quantization_1a7cc2b014f80312b2bb3f766ede8c12b0` | `https://developers.google.com/edge/api/tflite/c/struct/tf-lite-int-array#struct_tf_lite_int_array *` |

## Public attributes

### quantized_dimension

```
int32_t TfLiteAffineQuantization::quantized_dimension
```

### scale

```
TfLiteFloatArray * TfLiteAffineQuantization::scale
```

### zero_point

```
TfLiteIntArray * TfLiteAffineQuantization::zero_point
```