from fastai.gen_doc.nbdoc import *
from fastai.train import *
from fastai.vision import *
from fastai import *

show_doc(fit_one_cycle)

show_doc(lr_find)

show_doc(to_fp16)

show_doc(mixup)

show_doc(Learner.TTA, full_name='TTA')

path = untar_data(URLs.MNIST_SAMPLE)
data = ImageDataBunch.from_folder(path)

show_doc(ShowGraph)

show_doc(ShowGraph.on_epoch_end, doc_string=False)

show_doc(GradientClipping)

learn = create_cnn(data, models.resnet18, metrics=accuracy,
    callback_fns=partial(GradientClipping, clip=0.1))
learn.fit(1)

show_doc(GradientClipping.on_backward_end, doc_string=False)

show_doc(BnFreeze)

learn = create_cnn(data, models.resnet18, metrics=accuracy, callback_fns=BnFreeze)
learn.fit(1)

show_doc(BnFreeze.on_epoch_begin, doc_string=False)

show_doc(one_cycle_scheduler)