If in the v1 I had some code like below
lr = 1.2e-3
learn.fit(lr,15)
lr_lst=np.array([lr/100,lr/10,lr])
# differential
learn.fit(lr_lst/4, 3, cycle_len=1, cycle_mult=2)
# fine tune
learn.fit(lr_lst/10,1,cycle_len=5,use_clr=(10,32))
what would be the v2 equivalent of the above ?

The old fastai codebase does not contain many of the above options and looks like it has been superseeded by calls such as fit_one_cycle. The fit_one_cycle() call also does not contain some of the above options such as cycle_mult and use_clr.

I was wondering how I would reproduce the above code using the new fit_one_cycle and fit calls.