def METHOD_NAME(self, path):
    if os.path.isfile(os.path.join(self.output_dir, "model_final.pth")):
        print("found the trained model at: " + os.path.join(self.output_dir, "model_final.pth"))
        if path != self.output_dir:
            print("copying the trained model to your desired directory at: ")
            print(path)
            shutil.copyfile(os.path.join(self.output_dir, "model_final.pth"), os.path.join(path, "model_final.pth"))
        else:
            print("model is already saved at: " + os.path.join(self.output_dir, "model_final.pth"))
    else:
        print("no trained model was found...")