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Augmented Dataset fonctionnel

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Harle, Antoine (Contracteur) 2019-12-04 12:28:32 -05:00
parent 33ef7afd04
commit 2ee8022c2f
26 changed files with 64488 additions and 123 deletions
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12
higher/train_utils.py
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@ -616,10 +616,10 @@ def run_dist_dataugV2(model, epochs=1, inner_it=0, dataug_epoch_start=0, print_f
model_copy(src=fmodel, dst=model)
optim_copy(dopt=diffopt, opt=inner_opt)
#if epoch>50:
meta_opt.step()
model['data_aug'].adjust_param(soft=False) #Contrainte sum(proba)=1
#model['data_aug'].next_TF_set()
if epoch>50:
meta_opt.step()
model['data_aug'].adjust_param(soft=False) #Contrainte sum(proba)=1
#model['data_aug'].next_TF_set()
fmodel = higher.patch.monkeypatch(model, device=None, copy_initial_weights=True)
diffopt = higher.optim.get_diff_optim(inner_opt, model.parameters(),fmodel=fmodel, track_higher_grads=high_grad_track)
@ -683,8 +683,8 @@ def run_dist_dataugV2(model, epochs=1, inner_it=0, dataug_epoch_start=0, print_f
model.augment(mode=True)
if inner_it != 0: high_grad_track = True
#viz_sample_data(imgs=xs, labels=ys, fig_name='samples/data_sample_epoch{}_noTF'.format(epoch))
#viz_sample_data(imgs=model['data_aug'](xs), labels=ys, fig_name='samples/data_sample_epoch{}'.format(epoch))
viz_sample_data(imgs=xs, labels=ys, fig_name='samples/data_sample_epoch{}_noTF'.format(epoch))
viz_sample_data(imgs=model['data_aug'](xs), labels=ys, fig_name='samples/data_sample_epoch{}'.format(epoch))
#print("Copy ", countcopy)
return log