version 1.35.0

What's New

• PyTorch
  • Added support for W16A16 in Autoquant.
• Deprecation Notice
  • Support for Pytorch 1.13 is deprecated. It will be removed in next release.
• ONNX
  • Optimized Memory and Speed utilization (for CPU).

Documentation

• Release main page: https://github.com/quic/aimet/releases/tag/1.35.0
• Installation guide: https://quic.github.io/aimet-pages/releases/1.35.0/install/index.html
• User guide: https://quic.github.io/aimet-pages/releases/1.35.0/user_guide/index.html
• API documentation: https://quic.github.io/aimet-pages/releases/1.35.0/api_docs/index.html

Packages

• aimet_torch-1.35.0.cu121-cp310-cp310-manylinux_2_34_x86_64.whl
  • PyTorch 2.1 GPU package with Python 3.10 and CUDA 12.x
• aimet_torch-1.35.0.cu117-cp310-cp310-manylinux_2_34_x86_64.whl
  • PyTorch 1.13 GPU package with Python 3.10 and CUDA 11.x
• aimet_torch-1.35.0.cpu-cp310-cp310-manylinux_2_34_x86_64.whl
  • PyTorch 2.1 CPU package with Python 3.10 - If installing on a machine without CUDA
• aimet_onnx-1.35.0.cu117-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-1.35.0.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-1.35.0.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-1.35.0.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