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Tags: Coderx7/SimpleNet_Pytorch
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v1.0.0.beta.1
make sure dropout_rates are in valid form
v1.0.0-alpha.2
update results and add benchmark artifacts -- updated the results-imagenet.csv to contain latest results of simplenet variants so far -- added the benchmark results for inference with fp32, NHWC for both pytorch 1.10 and 1.11 for better comparison, accuracies have been added to the benchmark results. The hardware and software stack used to run benchmark is as follows: OS: Ubuntu 20.04.4 kernel version: 5.13.0-51-generic Driver version: 515.86.01 Python version: 3.9.7 (anaconda installation) GPU: GTX1080 CPU: 4790K RAM: 32Gig
v1.0.0-alpha.1
update results and add benchmark artifacts -- updated the results-imagenet.csv to contain latest results of simplenet variants so far -- added the benchmark results for inference with fp32, NHWC for both pytorch 1.10 and 1.11 for better comparison, accuracies have been added to the benchmark results. The hardware and software stack used to run benchmark is as follows: OS: Ubuntu 20.04.4 kernel version: 5.13.0-51-generic Driver version: 515.86.01 Python version: 3.9.7 (anaconda installation) GPU: GTX1080 CPU: 4790K RAM: 32Gig
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