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Ajout simplification pour entrainment
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@ -187,6 +187,7 @@ if __name__ == "__main__":
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#aug_model = Augmented_model(RandAug(TF_dict=tf_dict, N_TF=2), 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_simple_smartaug(model=aug_model, opt_param=optim_param)
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log= run_dist_dataugV3(model=aug_model,
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epochs=epochs,
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inner_it=n_inner_iter,
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