implement custom optimizer pytorch

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1optimizer = MySOTAOptimizer(my_model.parameters(), lr=0.001)
2for epoch in epochs:
3	for batch in epoch:
4		outputs = my_model(batch)
5		loss  = loss_fn(outputs, true_values)
6		loss.backward()
7		optimizer.step()
8

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