SyNAP
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  • SyNAP Manual
  • SyNAP Tutorials
    • SyNAP Heterogeneous Inference
    • SyNAP Model Import and Quantization
  • SyNAP Release Notes
SyNAP
  • SyNAP Tutorials
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This document covers SyNAP's development version, which may differ significantly from previous releases. For older versions, use the version selector in the bottom left corner.

SyNAP Tutorials

  • SyNAP Heterogeneous Inference
    • Introduction
    • Use case
    • Analysis
    • Model Cutting
    • Heterogeneous Inference
    • Automatic Heterogeneous Inference
  • SyNAP Model Import and Quantization
    • Introduction
      • Online Model Conversion
      • Offline Model Conversion
    • Import Workflow Example
      • Use case
      • Preliminary Evaluation
      • Use an Appropriate Input Size
      • Quantize Model
      • Remove Un-necessary Layers
      • Improve Quantization Dataset
      • Per-Channel and KL_divergence Quantization
      • 16-bits Quantization
      • Mixed Quantization
      • Remove Un-Needed Outputs
      • Perform Input Preprocessing with the NPU
      • I Still Can’t Meet My Requirements
    • Conclusions
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SyNAP version: git-main
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