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Harle, Antoine (Contracteur) 2019-11-11 17:12:16 -05:00
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"time": 36.28376844499985,
"param": [
0.28879451751708984,
0.08727214485406876,
0.286702036857605,
0.33723127841949463
]
},
{
"epoch": 39,
"train_loss": 0.6537986397743225,
"val_loss": 0.9573734402656555,
"acc": 67.33,
"time": 35.01064654900006,
"param": [
0.2870996594429016,
0.07876010239124298,
0.29405638575553894,
0.3400838375091553
]
},
{
"epoch": 40,
"train_loss": 0.7367203831672668,
"val_loss": 0.9820258617401123,
"acc": 65.42999999999999,
"time": 37.31447572100001,
"param": [
0.28837651014328003,
0.08026732504367828,
0.29411906003952026,
0.3372371196746826
]
},
{
"epoch": 41,
"train_loss": 0.5657103061676025,
"val_loss": 1.121062994003296,
"acc": 66.07,
"time": 37.08227882899996,
"param": [
0.30046236515045166,
0.07346618175506592,
0.28356873989105225,
0.34250277280807495
]
}
]
}

2
higher/test_dataug.py
View file

@ -671,7 +671,7 @@ def run_dist_dataugV2(model, epochs=1, inner_it=0, dataug_epoch_start=0, print_f
optim_copy(dopt=diffopt, opt=inner_opt) optim_copy(dopt=diffopt, opt=inner_opt)
meta_opt.step() meta_opt.step()
model['data_aug'].adjust_prob(soft=True) #Contrainte sum(proba)=1 model['data_aug'].adjust_prob(soft=False) #Contrainte sum(proba)=1
fmodel = higher.patch.monkeypatch(model, device=None, copy_initial_weights=True) 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) diffopt = higher.optim.get_diff_optim(inner_opt, model.parameters(),fmodel=fmodel, track_higher_grads=high_grad_track)