version 2.0.0

What's New

• New Features
  • Common
    • Reorganized the documentation to more clearly explain AIMET procedures
    • Redesigned the documentation using the Furo theme
    • Added post-AIMET procedures on how to take AIMET quantized model to Qualcomm® AI Engine Direct and Qualcomm® AI Hub
  • PyTorch
    • BREAKING CHANGE: aimet_torch.v2 has become the default API. All the legacy APIs are migrated to aimet_torch.v1 subpackage, for example from aimet_torch.qc_quantize_op to aimet_torch.v1.qc_quantize_op
    • Added Manual Mixed Precision Configurator (Beta) to make it easy to configure a model in Mixed Precision.
  • ONNX
    • Optimized QuantizationSimModel.init() latency
    • Align ConnectedGraph representation with onnx graph
• Bug Fixes
  • ONNX
    • Bug fixes for Adaround
    • Bug fixes for BN fold
• Upgrading
  • PyTorch
    • aimet_torch 2 is fully backward compatible with all the public APIs of aimet_torch 1.x. If you are using low-level components of QuantizationSimModel, please see Migrate to aimet_torch 2.

Documentation

• Release main page: https://github.com/quic/aimet/releases/tag/2.0.0
• Installation guide: https://quic.github.io/aimet-pages/releases/2.0.0/install/index.html
• User guide: https://quic.github.io/aimet-pages/releases/2.0.0/userguide/index.html
• API documentation: https://quic.github.io/aimet-pages/releases/2.0.0/apiref/index.html

Packages

• aimet_torch-2.0.0+cu121-cp310-none-any.whl
  • PyTorch 2.1 GPU package with Python 3.10 and CUDA 12.x
• aimet_torch-2.0.0+cpu-cp310-none-any.whl
  • PyTorch 2.1 CPU package with Python 3.10 - If installing on a machine without CUDA
• aimet_onnx-2.0.0+cu118-cp310-cp310-manylinux_2_34_x86_64.whl
  • ONNX 1.16 GPU package with Python 3.10 - Recommended for use with ONNX models
• aimet_onnx-2.0.0+cpu-cp310-cp310-manylinux_2_34_x86_64.whl
  • ONNX 1.16 CPU package with Python 3.10 - If installing on a machine without CUDA
• aimet_tensorflow-2.0.0+cu118-cp310-cp310-manylinux_2_34_x86_64.whl
  • TensorFlow 2.10 GPU package with Python 3.10 - Recommended for use with TensorFlow models
• aimet_tensorflow-2.0.0+cpu-cp310-cp310-manylinux_2_34_x86_64.whl
  • TensorFlow 2.10 CPU package with Python 3.10 - If installing on a machine without CUDA