AntoineH/smart_augmentation
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+controle mag reg + Tests fonction mag reg

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Harle, Antoine (Contracteur) 2020-02-25 14:05:17 -05:00
parent fc0fb25148
commit 534e244307
6 changed files with 45 additions and 22 deletions
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28
higher/smart_aug/test_dataug.py
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@ -34,13 +34,15 @@ if __name__ == "__main__":
}
#Parameters
n_inner_iter = 1
epochs = 2
epochs = 200
dataug_epoch_start=0
Nb_TF_seq=3
optim_param={
'Meta':{
'optim':'Adam',
'lr':1e-2, #1e-2
'epoch_start': 2, #0 / 2 (Resnet?)
'reg_factor': 0.001,
},
'Inner':{
'optim': 'SGD',
@ -110,7 +112,7 @@ if __name__ == "__main__":
#### Augmented Model ####
if 'aug_model' in tasks:
tf_config='../config/base_tf_config.json'
tf_config='../config/invScale_wide_tf_config.json'#'../config/base_tf_config.json'
tf_dict, tf_ignore_mag =TF_loader.load_TF_dict(tf_config)
torch.cuda.reset_max_memory_allocated() #reset_peak_stats
@ -118,15 +120,17 @@ if __name__ == "__main__":
t0 = time.perf_counter()
model = Higher_model(model, model_name) #run_dist_dataugV3
aug_model = Augmented_model(
Data_augV5(TF_dict=tf_dict,
N_TF=1,
mix_dist=0.5,
fixed_prob=False,
fixed_mag=False,
shared_mag=False,
TF_ignore_mag=tf_ignore_mag), model).to(device)
#aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), model).to(device)
if n_inner_iter !=0:
aug_model = Augmented_model(
Data_augV5(TF_dict=tf_dict,
N_TF=Nb_TF_seq,
mix_dist=0.5,
fixed_prob=False,
fixed_mag=False,
shared_mag=False,
TF_ignore_mag=tf_ignore_mag), model).to(device)
else:
aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=Nb_TF_seq), model).to(device)
print("{} on {} for {} epochs - {} inner_it{}".format(str(aug_model), device_name, epochs, n_inner_iter, postfix))
log= run_dist_dataugV3(model=aug_model,
@ -134,7 +138,7 @@ if __name__ == "__main__":
inner_it=n_inner_iter,
dataug_epoch_start=dataug_epoch_start,
opt_param=optim_param,
print_freq=20,
print_freq=10,
unsup_loss=1,
hp_opt=False,
save_sample_freq=None)