0.1.1
Almost full parity with onnx (onnx.hub is not supported as deprecated). It is fully implemented in C++ included the backend test (+2000) and the reference evaluator (used to produce the backend test). The first release includes the wheels and C++ binaries. The reduced wheels are the package (only linux) without the backend tests and the kernels (~12Mb on linux).
- documentation
- wheel and binary sizes: onnx-light can be released with or with the backend test and kernels.
- number of backend test per operator
- onnx-light backend test coverage: evaluation of onnxruntime, onnx reference evaluation and onnx-light reference evaluation on onnx-light backend test
- onnx backend test coverage: same evaluation on the original backend tests
- backend tests on shape inference: evaluate shape inference algorithme on two dozens of examples, it compares the inferred shapes for the intermediates results
The results are generated for the current main branch not necessarily this release. ir-py unit tests are passing with branch https://github.com/onnx/ir-py/tree/xadupre/ol