This is the Beta Update release for oneDNN Graph API based on oneDNN v2.7 release.

Functionality

• Added operations Select, LogicalAnd, LogicalOr, LogicalXor, LogicalNot, Greater, GreaterEqual, Equal, NoeEqual, Less, and LessEqual.
• Added boolean data type to support logical operations.
• Added support for passing compilation context to the compile API. This feature allows passing additional information, like tensor shape context, for the backend to generate better kernel code.
• Introduced convolution block fusion via oneDNN Graph Compiler.
• Experimental: Introduced dynamic shapes support for multi-level perceptron (MLP) block 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.