AntoineH/smart_augmentation
1
0
Fork 0
mirror of https://github.com/AntoineHX/smart_augmentation.git synced 2025-05-04 12:10:45 +02:00
Code Issues Projects Releases Packages Wiki Activity

Refactoring de TF_dict

Browse source
This commit is contained in:
Harle, Antoine (Contracteur) 2019-11-14 21:17:54 -05:00
parent fd4dcdb392
commit 103277fadd
8 changed files with 245 additions and 23 deletions
Download patch file Download diff file Expand all files Collapse all files

11
higher/test_dataug.py
View file

@ -64,18 +64,18 @@ if __name__ == "__main__":
print('-'*9)
'''
#### Augmented Model ####
'''
#'''
t0 = time.process_time()
tf_dict = {k: TF.TF_dict[k] for k in tf_names}
#tf_dict = TF.TF_dict
#aug_model = Augmented_model(Data_augV4(TF_dict=tf_dict, N_TF=2, mix_dist=0.0), LeNet(3,10)).to(device)
aug_model = Augmented_model(Data_augV4(TF_dict=tf_dict, N_TF=2, mix_dist=0.0), WideResNet(num_classes=10, wrn_size=160)).to(device)
aug_model = Augmented_model(Data_augV4(TF_dict=tf_dict, N_TF=2, mix_dist=0.5), LeNet(3,10)).to(device)
#aug_model = Augmented_model(Data_augV4(TF_dict=tf_dict, N_TF=2, mix_dist=0.0), WideResNet(num_classes=10, wrn_size=160)).to(device)
print(str(aug_model), 'on', device_name)
#run_simple_dataug(inner_it=n_inner_iter, epochs=epochs)
log= run_dist_dataugV2(model=aug_model, epochs=epochs, inner_it=n_inner_iter, dataug_epoch_start=dataug_epoch_start, print_freq=1, loss_patience=10)
####
plot_res(log, fig_name="res/{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter), param_names=tf_names)
plot_resV2(log, fig_name="res/{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter), param_names=tf_names)
print('-'*9)
times = [x["time"] for x in log]
out = {"Accuracy": max([x["acc"] for x in log]), "Time": (np.mean(times),np.std(times)), "Device": device_name, "Param_names": aug_model.TF_names(), "Log": log}
@ -86,12 +86,13 @@ if __name__ == "__main__":
print('Execution Time : %.00f (s?)'%(time.process_time() - t0))
print('-'*9)
'''
#'''
#### TF number tests ####
#'''
res_folder="res/TF_nb_tests/"
epochs= 100
inner_its = [0, 1, 10]
dist_mix = [0.0, 0.5]
dataug_epoch_starts= [0]
TF_nb = [len(TF.TF_dict)] #range(10,len(TF.TF_dict)+1) #[len(TF.TF_dict)]
N_seq_TF= [2, 3, 4, 6]