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Automated KRAI X workflows for reproducing MLPerf Inference submissions on systems withAutomated KRAI X workflows for reproducing MLPerf Inference submissions with KILT ONNXRT CPU/GPU backends

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krai/axs2onnxrt

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axs2onnxrt

Automated KRAI X workflows for the plugin for KILT (KRAI Inference Library Technology).

To import this repository and its dependencies into your work_collection, run:

axs byquery git_repo,collection,repo_name=axs2onnxrt

Recipe for downloading the Onnxruntime SDK, libraries and models.

Download and extract the onnxrt library.

axs byquery extracted,onnxruntime_lib

Download the pre-generated onnxrt resnet50 model.

axs byquery onnx_model,converted,model_name=resnet50

If you want to generate the model yourself use this command with the base resnet50 model:

python -m tf2onnx.convert --graphdef resnet50_v1.pb --output resnet50_v1_modified.onnx --inputs input_tensor:0[-1,224,224,3] --inputs-as-nchw input_tensor:0[-1,224,224,3] --outputs ArgMax:0

License

Unless explicitly stated otherwise, the software in this repository is provided under the permissive MIT license.

Contact

Please contact [email protected] for any queries.

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Automated KRAI X workflows for reproducing MLPerf Inference submissions on systems withAutomated KRAI X workflows for reproducing MLPerf Inference submissions with KILT ONNXRT CPU/GPU backends

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