2 unstable releases
0.2.0 | Apr 11, 2022 |
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0.1.0 | Apr 11, 2022 |
#5 in #bandwidth
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Used in 7 crates
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numquant
Quantize numbers to a smaller range to save bandwidth or memory.
The input floating point value is expected within a given range. Values outside this range will be clamped. The input value will then be quantized into a given integer range.
For example, given the allowed range -1000.0 to 1000.0, and the quantized range 0 to 255 (to fit in a byte), the value -1000.0 would be quantized to 0, and 1000.0 would be quantized to 255, and values in-between are linearly interpolated between 0 and 255.
Example
This example uses the type Quantized<U8<0, 1000>>
that converts any floating point number between 0.0 and 1000.0 to a byte (which has the range 0 to 255). Some precision is lost, but an approximate value can be brought back.
let original = 500.0;
// Quantize the value into a byte.
// Quantization supports inputs between 0 and 1000.
let quantized = Quantized::<U8<0, 1000>>::from_f64(original);
// Convert it back to an f64
let dequantized = quantized.to_f64();
// The conversion isn't lossless, but the dequantized value is close to the original:
approx::assert_abs_diff_eq!(original, dequantized, epsilon = U8::<0, 1000>::max_error());
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~165KB