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clean up
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gfursin committed Jul 21, 2023
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Expand Up @@ -32,7 +32,7 @@ across different framework (ONNX, PyTorch, TF, TFLite)
either natively or in a cloud (AWS, Azure, GCP, Alibaba, Oracle, OVHcloud, ...)
and submit results to MLPerf inference v3.1.

However, since some benchmarks may take 1 day to run, we suggest to start in the following order:
However, since some benchmarks may take 1..2 days to run, we suggest to start in the following order (these links describe CM commands to run benchmarks and submit results):
* [CPU: Reference implementation of Image Classification with ResNet50 (open and then closed division)](https://github.com/mlcommons/ck/blob/master/docs/mlperf/inference/resnet50/README_reference.md)
* [CPU: TFLite C++ implementation of Image classification with variations of MobileNets and EfficientNets (open division)](https://github.com/mlcommons/ck/blob/master/cm-mlops/script/run-mlperf-inference-mobilenet-models/README-about.md)
* [Nvidia GPU: Nvidia optimized implementation of Image Classification with ResNet50 (open and then closed division)](https://github.com/mlcommons/ck/blob/master/docs/mlperf/inference/resnet50/README_nvidia.md)
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