- Increase conversion support coverage for models produced by torch.export
- All common ops have been covered, that is 83% parity with our mature torch.jit.trace converter
- A new model supported: torchaudio wav2vec
- A new transformers graph pass "common::scaled_dot_product_attention_sliced_q" for improved performance of sdpa calculation with long sequence lengths (e.g. Depth-Anything model, with sequence length 1814, transformed by the graph pass was 34% faster and used 45% less memory on ANE)
- New torch ops supported
- native_group_norm
- bool type triu
- Bug fixes
- Incorrect behaviour of torch.linspace
- Wrong power 2 - sqrt fusion when power exponent is a tensor
Special thanks to our open source community contributors for this release: @RGooBS24 @fukatani @twoertwein @kasper0406
Contributors
kasper0406, twoertwein, and 2 other contributors