can we say quantization as value

Quantization

Quantization is the process of discretizing an input from a rep-resentation that holds more information to a representation with less information. It often meanstaking a data type with more bits and converting it to fewer bits, for example from 32-bit floats to8-bit Integers. To ensure that the entire range of the low-bit data type is used, the input data type iscommonly rescaled into the target data type range through normalization by the absolute maximumof the input elements, which are usually structured as a tensor. For example, quantizing a 32-bitFloating Point (FP32) tensor into a Int8 tensor with range [−127, 127]:XInt8 = round 127absmax(XFP32) XFP32= round(cFP32 · XFP32), (1)where c is the quantization constant or quantization scale. Dequantization is the inverse:dequant(cFP32, XInt8) = XInt8cFP32 = XFP32 (2)The problem with this approach is that if a large magnitude value (i.e., an outlier) occurs in the inputtensor, then the quantization bins—certain bit combinations—are not utilized well with few or nonumbers quantized in some bins. To prevent the outlier issue, a common approach is to chunk theinput tensor into blocks that are independently quantized, each with their own quantization constant c.This can be formalized as follows: We chunk the input tensor X ∈ Rb×h into n contiguous blocks ofsize B by flattening the input tensor and slicing the linear segment into n = (b × h)/B blocks. Wequantize these blocks independently with Equation 1 to create a quantized tensor and n quantizationconstants ci

Quantization Levels&Number of Bits

What is QUANTA?

What is quantization? Describe types of quantization in detail.. Explain envelope detector with its error