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Tags: Coderx7/SimpleNet_Pytorch

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v1.0.0

Toggle v1.0.0's commit message
change directory names to lower case

this changes the main directories imagenet and cifar, to lower case form
so the usgae and navigation is a bit easier.

v1.0.0.beta.1

Toggle v1.0.0.beta.1's commit message
make sure dropout_rates are in valid form

v1.0.0-alpha.3

Toggle v1.0.0-alpha.3's commit message
make sure dropout_rates are in valid form

v1.0.0-alpha.2

Toggle v1.0.0-alpha.2's commit message
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

Toggle v1.0.0-alpha.1's commit message
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