Routines.py 文件源码

def load_data(self, dataset_path, share = False):
        """Load the data set.


        """
        f = gzip.open(dataset_path, 'rb')
        train_set, valid_set, test_set = pickle.load(f)
        f.close()

        # share the data
        train_set_x, train_set_y = self.shared_dataset(train_set, train=True)
        valid_set_x, valid_set_y = self.shared_dataset(valid_set)
        test_set_x, test_set_y   = self.shared_dataset(test_set)
        if share:
            reval = [(train_set_x, train_set_y), (valid_set_x, valid_set_y), (test_set_x, test_set_y)]
        else:
            reval = [train_set, valid_set, test_set] # NON-shared data (they didn't share the data in the code Crino!!!!!)
        return reval