Struct ModelQuantizer 

pub struct ModelQuantizer { /* private fields */ }

Model quantizer (placeholder for actual quantization logic)

Implementations

impl ModelQuantizer

pub fn new(config: QuantizationConfig) -> Result<Self, String>

Create a new quantizer with the given configuration

pub fn int8_cpu() -> Result<Self, String>

Create a quantizer for INT8 CPU inference

pub fn fp16_gpu() -> Result<Self, String>

Create a quantizer for FP16 GPU inference

pub fn quantize<P: AsRef<Path>>( &self, model_path: P, output_path: P, ) -> Result<QuantizedModelInfo, String>

Quantize a model

Note: This is a placeholder. Actual quantization would require:

1. Loading the ONNX model
2. Converting weights to lower precision
3. Optionally calibrating with sample data
4. Saving the quantized model

pub fn config(&self) -> &QuantizationConfig

Get the configuration

pub fn is_quantized<P: AsRef<Path>>(model_path: P) -> bool

Check if a model is already quantized

pub fn estimate_benefits(&self, model_size_bytes: u64) -> QuantizationBenefits

Estimate the benefits of quantization