AntoineH/smart_augmentation
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Brutus

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Harle, Antoine (Contracteur) 2020-01-13 18:02:36 -05:00
parent 53bd421670
commit e291bc2e44
9 changed files with 55 additions and 44 deletions
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18
higher/test_brutus.py
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@ -93,15 +93,15 @@ if __name__ == "__main__":
json.dump(out, f, indent=True)
print('Log :\"',f.name, '\" saved !')
'''
res_folder="res/brutus-tests/"
res_folder="res/brutus-tests2/"
epochs= 150
inner_its = [1]
dist_mix = [0.0, 0.5, 0.8, 1.0]
dataug_epoch_starts= [0]
tf_dict = {k: TF.TF_dict[k] for k in tf_names}
TF_nb = [len(tf_dict)] #range(10,len(TF.TF_dict)+1) #[len(TF.TF_dict)]
N_seq_TF= [2, 3]
mag_setup = [(True,True), (False, False)]
N_seq_TF= [2, 3, 4]
mag_setup = [(True,True), (False, False)] #(Fixed, Shared)
#prob_setup = [True, False]
nb_run= 3
@ -118,12 +118,14 @@ if __name__ == "__main__":
#for i in TF_nb:
for m_setup in mag_setup:
#for p_setup in prob_setup:
p_setup=True
p_setup=False
for run in range(nb_run):
if n_inner_iter == 0 and (m_setup!=(True,True) and p_setup!=True): continue #Autres setup inutiles sans meta-opti
if (n_inner_iter == 0 and (m_setup!=(True,True) and p_setup!=True)) or (p_setup and dist!=0.0): continue #Autres setup inutiles sans meta-opti
#keys = list(TF.TF_dict.keys())[0:i]
#ntf_dict = {k: TF.TF_dict[k] for k in keys}
t0 = time.process_time()
aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=n_tf, mix_dist=dist, fixed_prob=p_setup, fixed_mag=m_setup[0], shared_mag=m_setup[1]), model).to(device)
#aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), model).to(device)
@ -143,9 +145,9 @@ if __name__ == "__main__":
times = [x["time"] for x in log]
out = {"Accuracy": max([x["acc"] for x in log]), "Time": (np.mean(times),np.std(times), exec_time), 'Optimizer': optim_param, "Device": device_name, "Param_names": aug_model.TF_names(), "Log": log}
print(str(aug_model),": acc", out["Accuracy"], "in:", out["Time"][0], "+/-", out["Time"][1])
filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)
with open("res/log/%s.json" % filename, "w+") as f:
filename = "{}-{} epochs (dataug:{})- {} in_it-{}".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter, run)
with open(res_folder+"log/%s.json" % filename, "w+") as f:
json.dump(out, f, indent=True)
print('Log :\"',f.name, '\" saved !')
print('-'*9)
'''
#'''