Adding Raw ONNX support to SurrealML #48
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* adding build using binary downloads (#8) * adding build using binary downloads * sorting out the build.rs * updating build.rs for surrealml package * prepping version for release * now has target tracking (#10) * adding check in build.rs for docs.rs * removing build.rs for main surrealml to ensure that libraries using the core do not need to do anything in their build.rs * adding machine learning pipelines for bioengineering projects at Kings College London * Remove integrated_training_runner/run_env/ from tracking * adding machine learning pipelines for bioengineering projects at Kings College London * Update FFmpeg data access module and README (#29) * adding run_env to the gitignore --------- Co-authored-by: Yang Li <[email protected]>
* Develop (#35) * adding glue module to enable error handling (#27) * added batching runner (#28) * Kings college london integration (#30) * adding build using binary downloads (#8) * adding build using binary downloads * sorting out the build.rs * updating build.rs for surrealml package * prepping version for release * now has target tracking (#10) * adding check in build.rs for docs.rs * removing build.rs for main surrealml to ensure that libraries using the core do not need to do anything in their build.rs * adding machine learning pipelines for bioengineering projects at Kings College London * Remove integrated_training_runner/run_env/ from tracking * adding machine learning pipelines for bioengineering projects at Kings College London * Update FFmpeg data access module and README (#29) * adding run_env to the gitignore --------- Co-authored-by: Yang Li <[email protected]> * bumping the version * updating the README and module * updating the surrealml-core deployment workflow * updating the surrealml-core deployment workflow * updating cargo --------- Co-authored-by: Sam Hillman <[email protected]> Co-authored-by: Yang Li <[email protected]> * merging error modules into the core * merging error modules into the core * merging error modules into the core --------- Co-authored-by: Sam Hillman <[email protected]> Co-authored-by: Yang Li <[email protected]>
* adding buffer out of index check * adding buffer out of index check
* updating the naming and increasing tests around the meta data of the stored ML models * updating the naming and increasing tests around the meta data of the stored ML models * updating the naming and increasing tests around the meta data of the stored ML models
* stashing for branch switch * adding tests for tensorflow * adding tests for tensorflow * fixing requirement conflicts * fixing requirement conflicts * fixing requirement conflicts * fixing requirement conflicts * fixing requirement conflicts
adding support for raw ONNX models
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This pull request enables users to directly import raw ONNX models into SurrealML and package them as surml files using the following code: file = SurMlFile(model=raw_onnx_model, name="linear", inputs=HOUSE_LINEAR["inputs"], engine=Engine.ONNX) |
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This pull request enables users to directly import raw ONNX models into SurrealML and package them as
surmlfiles using the following code: