1.22.1

What's Changed

• Added support for QuantizableMultiHeadAttention for PyTorch nn.transformer layers by @quic-kyuykim
• Support functional conv2d in model preparer by @quic-kyuykim
• Enable qat with multi gpu by @quic-mangal
• Optimize forward pass logic of PyTorch QAT 2.0 by @quic-geunlee
• Fix functional depthwise conv support on model preparer by @quic-kyuykim
• Fix bug in model validator to correctly identify functional ops in leaf module by @quic-klhsieh
• Support dynamic functional conv2d in model preparer by @quic-kyuykim
• Added updated default runtime config, also a per-channel one. Fixed n… by @quic-akhobare
• Include residing module info in model validator by @quic-klhsieh
• Support for Keras MultiHeadAttention Layer by @quic-ashvkuma

Documentation

• User guide: https://quic.github.io/aimet-pages/releases/1.22.1/user_guide/index.html
• API documentation: https://quic.github.io/aimet-pages/releases/1.22.1/api_docs/index.html
• Documentation main page: https://quic.github.io/aimet-pages/index.html