- What is scale and zero point in quantization?
- What is quantization scale?
- What is the concept of quantization?
What is scale and zero point in quantization?
The scale factor and the zero-point are used to to map a floating point value to the integer grid, whose size depends on the bit-width. The scale factor is commonly represented as a floating-point number and specifies the step-size of the quantizer.
What is quantization scale?
Scale Quantization is a symmetric range mapping technique (with no zero point) which is used to map an input of range of a given range (say [A1, A2]) to a quantized range of size B bits. One example is to convert an FP32 data of a given range to INT8 data.
What is the concept of quantization?
Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values. In the context of simulation and embedded computing, it is about approximating real-world values with a digital representation that introduces limits on the precision and range of a value.