This is the Beta Update 2 release of oneDNN Graph API based on oneDNN v2.7.2.

Functionality

• Added HardSigmoid operation.
• Added block tensor layout support to improve performance on Xe architecture-based GPUs.
• Added support of IOX and XOI weight formats for ConvTranspose operation.
• Added query_dynamic_outputs API to support dynamic shapes in the graph. This functionality allows Graph API to infer output tensors shapes based on input tensors.
• Experimental: Introduced dynamic shapes support for MHA via oneDNN Graph Compiler.

Known Issues and Limitations

• The weight’s opaque layout can be queried only from a compiled partition, which requires that input tensor shapes must be known at compilation time.
• MHA and MLP fusion are not activated on machines without Intel AVX-512 support.

Thanks to the Contributors

This release contains contributions from the project core teams as well as Jiong Gong, Chunyuan Wu, Sanchit Jain, Yiqiang Li, Yunfei Mao, Kiefer Kuah and others.