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https://github.com/AntoineHX/smart_augmentation.git
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Correction test MobileNet Brutus
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commit
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4 changed files with 140 additions and 22 deletions
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@ -35,7 +35,7 @@ if __name__ == "__main__":
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n_inner_iter = 1
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epochs = 150
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epochs = 200
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dataug_epoch_start=0
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#model = LeNet(3,10)
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@ -44,22 +44,6 @@ if __name__ == "__main__":
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tf_dict = {k: TF.TF_dict[k] for k in tf_names}
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t0 = time.process_time()
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aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=3, mix_dist=0.0, fixed_prob=True, fixed_mag=True, shared_mag=True), model).to(device)
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print("{} on {} for {} epochs - {} inner_it".format(str(aug_model), device_name, epochs, n_inner_iter))
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log= run_dist_dataugV2(model=aug_model, epochs=epochs, inner_it=n_inner_iter, dataug_epoch_start=dataug_epoch_start, print_freq=10, KLdiv=True, loss_patience=None)
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exec_time=time.process_time() - t0
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####
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times = [x["time"] for x in log]
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out = {"Accuracy": max([x["acc"] for x in log]), "Time": (np.mean(times),np.std(times), exec_time), "Device": device_name, "Param_names": aug_model.TF_names(), "Log": log}
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filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)
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with open("res/log/%s.json" % filename, "w+") as f:
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json.dump(out, f, indent=True)
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print('Log :\"',f.name, '\" saved !')
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####
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t0 = time.process_time()
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@ -77,6 +61,23 @@ if __name__ == "__main__":
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json.dump(out, f, indent=True)
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print('Log :\"',f.name, '\" saved !')
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####
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t0 = time.process_time()
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aug_model = Augmented_model(Data_augV5(TF_dict=tf_dict, N_TF=3, mix_dist=0.0, fixed_prob=False, fixed_mag=False, shared_mag=False), model).to(device)
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print("{} on {} for {} epochs - {} inner_it".format(str(aug_model), device_name, epochs, n_inner_iter))
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log= run_dist_dataugV2(model=aug_model, epochs=epochs, inner_it=n_inner_iter, dataug_epoch_start=dataug_epoch_start, print_freq=10, KLdiv=True, loss_patience=None)
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exec_time=time.process_time() - t0
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####
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times = [x["time"] for x in log]
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out = {"Accuracy": max([x["acc"] for x in log]), "Time": (np.mean(times),np.std(times), exec_time), "Device": device_name, "Param_names": aug_model.TF_names(), "Log": log}
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filename = "{}-{} epochs (dataug:{})- {} in_it".format(str(aug_model),epochs,dataug_epoch_start,n_inner_iter)
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with open("res/log/%s.json" % filename, "w+") as f:
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json.dump(out, f, indent=True)
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print('Log :\"',f.name, '\" saved !')
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'''
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res_folder="res/brutus-tests/"
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epochs= 150
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