version 1.33.5

What's New

• PyTorch
  • Various bugfixes/QoL updates for LoRA
  • Updated minimum scale value and registered additional custom quantized ops with QuantSim 2.0

Documentation

• Release main page: https://github.com/quic/aimet/releases/tag/1.33.5
• Installation guide: https://quic.github.io/aimet-pages/releases/1.33.5/install/index.html
• User guide: https://quic.github.io/aimet-pages/releases/1.33.5/user_guide/index.html
• API documentation: https://quic.github.io/aimet-pages/releases/1.33.5/api_docs/index.html

Packages

• aimet_torch-1.33.5.cu118-cp310-cp310-manylinux_2_34_x86_64.whl
  • PyTorch 2.1 GPU package with Python 3.10 and CUDA 11
• aimet_torch-1.33.5.cu117-cp310-cp310-manylinux_2_34_x86_64.whl
  • PyTorch 1.13 GPU package with Python 3.10 and CUDA 11.x
• aimet_torch-1.33.5.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-1.33.5.cu117-cp310-cp310-manylinux_2_34_x86_64.whl
  • ONNX 1.14 GPU package with Python 3.10 - Recommended for use with ONNX models
• aimet_onnx-1.33.5.cpu-cp310-cp310-manylinux_2_34_x86_64.whl
  • ONNX 1.14 CPU package with Python 3.10 - If installing on a machine without CUDA
• aimet_tensorflow-1.33.5.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-1.33.5.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