AntoineH/smart_augmentation
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Harle, Antoine (Contracteur) 2020-01-31 10:34:44 -05:00
parent bf29d4fb6d
commit cd6e159b77
6 changed files with 59 additions and 95 deletions
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12
higher/smart_aug/benchmark.py
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@ -1,4 +1,3 @@
from model import *
from dataug import *
#from utils import *
from train_utils import *
@ -19,9 +18,9 @@ optim_param={
}
}
res_folder="../res/benchmark/CIFAR10"
epochs= 200
dataug_epoch_starts=0
res_folder="../res/benchmark/CIFAR10/"
epochs= 150
dataug_epoch_start=0
# Use available TF (see transformations.py)
tf_names = [
@ -131,7 +130,6 @@ if __name__ == "__main__":
### HP Search ###
inner_its = [1]
dist_mix = [0.0, 0.5, 0.8, 1.0]
dataug_epoch_starts= [0]
N_seq_TF= [2, 3, 4]
mag_setup = [(True,True), (False, False)] #(FxSh, Independant)
#prob_setup = [True, False]
@ -154,7 +152,7 @@ if __name__ == "__main__":
t0 = time.process_time()
model = getattr(model_list.keys()[0], 'resnet18')(pretrained=False)
model = getattr(models.resnet, 'resnet18')(pretrained=False)
model = Higher_model(model) #run_dist_dataugV3
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)
@ -177,7 +175,7 @@ if __name__ == "__main__":
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, run)
with open("../res/log/%s.json" % filename, "w+") as f:
with open(res_folder+"log/%s.json" % filename, "w+") as f:
try:
json.dump(out, f, indent=True)
print('Log :\"',f.name, '\" saved !')