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ImageNetTraining80.0-frac-1over4 / pytorch-image-models /results

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README.md

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benchmark-infer-amp-nchw-pt113-cu117-rtx3090.csv

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benchmark-infer-amp-nchw-pt210-cu121-rtx3090.csv

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benchmark-infer-amp-nchw-pt240-cu124-rtx3090.csv

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benchmark-infer-amp-nchw-pt240-cu124-rtx4090-dynamo.csv

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benchmark-infer-amp-nchw-pt240-cu124-rtx4090.csv

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benchmark-infer-amp-nhwc-pt113-cu117-rtx3090.csv

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benchmark-infer-amp-nhwc-pt210-cu121-rtx3090.csv

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benchmark-infer-amp-nhwc-pt240-cu124-rtx3090.csv

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benchmark-infer-amp-nhwc-pt240-cu124-rtx4090.csv

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benchmark-infer-fp32-nchw-pt221-cpu-i9_10940x-dynamo.csv

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benchmark-infer-fp32-nchw-pt240-cpu-i7_12700h-dynamo.csv

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benchmark-infer-fp32-nchw-pt240-cpu-i9_10940x-dynamo.csv

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benchmark-train-amp-nchw-pt112-cu113-rtx3090.csv

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benchmark-train-amp-nhwc-pt112-cu113-rtx3090.csv

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generate_csv_results.py

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model_metadata-in1k.csv

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results-imagenet-a-clean.csv

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results-imagenet-a.csv

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results-imagenet-r-clean.csv

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results-imagenet-r.csv

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results-imagenet-real.csv

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results-imagenet.csv

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results-imagenetv2-matched-frequency.csv

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results-sketch.csv

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