Thanks for the reply
Solved the issue,
But the point i was pointing to was instead of using epochs i am using iterations
According to Deep learning nomenclature
number of iterations = number of passes, each pass using [batch size] number of examples. To be clear, one pass = one forward pass + one backward pass (we do not count the forward pass and backward pass as two different passes).
i was asking weather iterations , epochs wouldn’t cause any issue while using shuffle=True