Pytorch pruning issue in low accuracy and prunned model usage

Could anyone help with this issue ?

When I use my own modified pytorch-pruning for python 3 , I have quite low accuracy value. May I know why ?

Besides, how do we use the output model_prunned ? Do we have to write our own pytorch code to test any random input images not in the test and training set ?