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version 1.21.0

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@aimetci aimetci released this 03 Jun 04:28
· 1401 commits to develop since this release
a433425

This release has the following changes

  • New feature: PyTorch QuantAnalyzer - Visualize per-layer sensitivity and per-quantizer PDF histograms
  • New feature: TensorFlow AutoQuant - Automatically apply various AIMET post-training quantization techniques
  • PyTorch QAT with Range Learning: Added support for Per Channel Quantization
  • PyTorch: Enabled exporting of encodings for multi-output leaf module
  • TensorFlow Adaround
    • Added ability to use configuration file in API to adapt to a specific runtime target
    • Added Per-Channel Quantization support
  • TensorFlow QuantSim: Added support for FP16 inference and QAT
  • TensorFlow Per Channel Quantization
    • Fixed speed and accuracy issues
    • Fixed zero accuracy for 16-bits per channel quantization
    • Added support for DepthWise Conv2d Op
  • Multiple other bug fixes

User guide: https://quic.github.io/aimet-pages/releases/1.21.0/user_guide/index.html
API documentation: https://quic.github.io/aimet-pages/releases/1.21.0/api_docs/index.html
Documentation main page: https://quic.github.io/aimet-pages/index.html