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TfLiteAffineQuantization

tensorflow/lite/g3doc/api_docs/c/struct/tf-lite-affine-quantization.html

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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)

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Public attributes

| | --- | | quantized_dimension | int32_t | | scale | TfLiteFloatArray * | | zero_point | TfLiteIntArray * |

Public attributes

quantized_dimension

int32_t TfLiteAffineQuantization::quantized_dimension

scale

[TfLiteFloatArray](/lite/api_docs/c/struct/tf-lite-float-array.html#struct_tf_lite_float_array)* TfLiteAffineQuantization::scale

zero_point

[TfLiteIntArray](/lite/api_docs/c/struct/tf-lite-int-array.html#struct_tf_lite_int_array)* TfLiteAffineQuantization::zero_point