test3.py,scale=1.8, cuDnn False, training on windows ---> https://github.com/muhendis/sil/blob/master/result_linux_10000.txt

test3.py,scale=1.5, cuDnn False, training on windows ---> https://github.com/muhendis/sil/blob/master/result_scale_1.5__linux_10000_with_windows_train.txt

test4.py,scale=1.5, cuDnn False, training on linux (optimzed training) ---> https://github.com/muhendis/sil/blob/master/result_scale_1.5__linux_10000_with_linux_train_cuDnn_False.txt

test4.py,scale=1.4, cuDnn True, training on linux (optimzed training) ---> https://github.com/muhendis/sil/blob/master/result_linux_10000_with_linux_train_pt.txt

test4.py,scale=1.4, cuDnn False, pinMemory, numWorker4 ,training on linux (optimzed training) -----> https://github.com/muhendis/sil/blob/master/result_scale_1.5__linux_10000_with_linux_train_cuDnn_False_numWorker4_pinMemoryTrue.txt

test5.py,scale=1.4, cuDnn False,training on linux (not optimzed training) -----> https://github.com/muhendis/sil/blob/master/result_scale_1.5__linux_10000_with_no_opt_linux_train_cuDnn_False.txt

######################### dfertfd

scale=1.5, cuDnn False, training on windows ---> Elapsed time: 3099.2997484207153 scale=1.5, cuDnn False, training on linux (optimzed training) ----> 5877.893645763397