AI Model Efficiency Toolkit Logo
1.35.1

Getting Started

  • Installation
    • Install in Host Machine
    • Install in Docker Container
  • Quickstart Guide

Examples

  • Post-Training Quantization

Feature Descriptions

  • Adaptive Rounding (AdaRound)

AIMET PyTorch API

  • Quantized Modules
  • Quantizers
  • QuantizationMixin
  • quantization.affine
  • quantization.float
  • Encoding Analyzers
AI Model Efficiency Toolkit
  • Overview: module code

All modules for which code is available

  • aimet_torch.gptvq.defs
  • aimet_torch.v2.nn.true_quant
  • aimet_torch.v2.quantization.affine.backends
  • aimet_torch.v2.quantization.affine.quantizer
  • aimet_torch.v2.quantization.base.quantizer
  • aimet_torch.v2.quantization.encoding_analyzer
  • aimet_torch.v2.quantization.float.quantizer
  • aimet_torch.v2.quantization.tensor
  • aimet_torch.v2.quantsim.config_utils
  • aimet_torch.v2.visualization_tools.quant_stats_visualization

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