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It will be convenient if we could use the filecheck utility for unit-tests for the translation of ONNX to ONNX-MLIR. This will be easier to do if we have a text-based syntax for ONNX models and a parser to create an ONNX model from text.
I created a PR in the ONNX repo with a proposed syntax and parser for this purpose: please see: onnx/onnx#3194
The text was updated successfully, but these errors were encountered:
One thing I had worked on (and hope to continue pushing forward with in the near future) is end-to-end tests, i.e., tests converting tensorflow/pytorch checkpoints to onnx models using converters and verify they can be parsed correctly by onnx-mlir. I believe these end-to-end conversion tests will complement the unit test suites mentioned here nicely.
Please let me and other collaborators know how best to support your effort; as a starter, I can help with upgrading the onnx submodule version once your patch is merged into the ONNX master branch.
It will be convenient if we could use the filecheck utility for unit-tests for the translation of ONNX to ONNX-MLIR. This will be easier to do if we have a text-based syntax for ONNX models and a parser to create an ONNX model from text.
I created a PR in the ONNX repo with a proposed syntax and parser for this purpose: please see: onnx/onnx#3194
The text was updated successfully, but these errors were encountered: