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The PR handles pretrained .onnx models which are traversed to generate a computational graph, each layer converted to the associated TrainLib kernel. The weights are saved by the Golden Model generator. The biases are a placeholder, ready to be integrated.

The PR adds argument parsing in order to indicate the path to the pretrained model, additionally replacing hardcoded directory namings.

@ccioflan ccioflan requested a review from dnadalini July 3, 2024 16:49
@ccioflan ccioflan marked this pull request as ready for review July 3, 2024 16:49
@ccioflan ccioflan changed the title DRAFT: ONNX Parsing OPEN: ONNX Parsing Jul 3, 2024
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ccioflan commented Jul 3, 2024

@dnadalini Have a look particularly at how start_at and update_layer_list are treated. These two flags should be merged in the "Sparse Update" PR.

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