Recently I reimplemented a model which I have ever written in tensorflow, however, although with the same hyper-parameters, the model implemented in pytorch is not as good as that on tensorflow(90% on pytorch, 92% on tensorflow).
The same phenomenon occurs when I reimplemented the code written in tensorflow by one of my friend, with the same hyper-parameters and model architechture.(95% on pytorch, 98% on tensorflow)
Hope anyone can give some advice, thanks.