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Add to ONNXInferenceModel human-readable model description #368
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ermolenkodev
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…lin#368) * Add interface ModelSummary * Add OnnxModelSummary
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…lin#368) * GraphTrainableModel summary implements common ModelSummary interface * TrainableModel, OnnxInferenceModel and All models from ModelHub implement ModelWithSummary interface * ModelHub models now reveive corresponding ModelType as parameter and this info available in summary
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* Add Kdocs for public interfaces and methods * Rename specificType -> type in base classes * Fix formatting
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* Add test for OnnxModelSummary * Add summary logging to examples
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ermolenkodev
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…lin#368) * Add interface ModelSummary * Add OnnxModelSummary
ermolenkodev
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…lin#368) * GraphTrainableModel summary implements common ModelSummary interface * TrainableModel, OnnxInferenceModel and All models from ModelHub implement ModelWithSummary interface * ModelHub models now reveive corresponding ModelType as parameter and this info available in summary
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* Add Kdocs for public interfaces and methods * Rename specificType -> type in base classes * Fix formatting
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* Add test for OnnxModelSummary * Add summary logging to examples
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ermolenkodev
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* Get rid of code duplication in OnnxModelSummary and TfModelSummary * Introduce table Section interface * Split table creation process and pretty-printing process
ermolenkodev
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Replace ModelType with String in OnnxHighLevelModel and ImageRecognitionModelBase. This will allow users with custom models use this property as well.
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* Introduce Cell to simplify complex TableRow creation * Refactoring alignment of section to not modify internal of Section model * Minor fixes
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* Introduce Cell to simplify complex TableRow creation * Refactoring alignment of section to not modify internal of Section model * Minor fixes Co-authored-by: Julia Beliaeva <[email protected]>
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* Add common ModelSummary interface for TensorFlow and onnx models (#368) * Add interface ModelSummary * Add OnnxModelSummary * Refactor summary functionality to use the new ModelSummary interface (#368) * GraphTrainableModel summary implements common ModelSummary interface * TrainableModel, OnnxInferenceModel, and All models from ModelHub implement the ModelWithSummary interface * ModelHub models now receive the corresponding ModelType as a parameter, and this info available in summary * Add missing KDocs (#368) * Add Kdocs for public interfaces and methods * Rename specificType -> type in base classes * Fix formatting * Update tests and examples (#368) * Add test for OnnxModelSummary * Add summary logging to examples * Minor cleanup (#368) * Refactor summary formatting (#368) * Get rid of code duplication in OnnxModelSummary and TfModelSummary * Introduce table Section interface * Split table creation process and pretty-printing process * Change modelType field type (#368) Replace ModelType with String in OnnxHighLevelModel and ImageRecognitionModelBase. This will allow users with custom models to use this property as well. * Add passing modelKindDescription to the copy functions (#368) * Refactoring of formatting (#368) * Introduce Cell to simplify complex TableRow creation * Refactor alignment of the section not to modify the internals of the Section model * Minor fixes Co-authored-by: Julia Beliaeva <[email protected]>
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The existing toString method just prints some underlying information from the ONNX Java API.
We need to unify the input/output information with the TF module and also add info from modelHub if possible and about the specific type
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