Version 2.29.0

• New Features

  • ONNX

    • Add support for Qwen 2.5 VL in aimet-onnx (f256686)

  • Torch

    • Support OOTB quantization of nn.MultiHeadAttention (4d19f47)
    • Support OOTB quantization of Qwen 3.5 normalization layers (01b912f)
    • Support OOTB quantization of InternVL GELU (c5f65b7)

• Bug fixes and Improvements

  • Common

    • Make export_int32_bias default to True if encoding_version >= 2.0.0 (22876ca)

  • ONNX

    • Optimize QDQ latency for fp16 models (c817a17)
    • Support pattern matching LayerNormalization without bias (84f880a)
    • Make from_onnx_export ignore unloadable encodings by default (1b50727)
    • Enable loading models with redundant back-to-back QDQ using from_onnx_qdq (0f2be91)
    • Skip folding BatchNormalization when the Conv layer has shared weights (8f552b7)
    • Fix bug in standalone BatchNormalization fold with shared tensors (eb7ae4b)

  • Torch

    • Disable activation quantizers for re-used stateless nn.Modules (8f552b7)