def __init__(self, input_shape, pool_size=2, rand_state=np.random):
        super(MeanPoolingLayer, self).__init__(input_shape)
        self.output_shape = self.input_shape / np.array([pool_size, pool_size, 1])
        self.pool_size = pool_size
Gets all the data for all the contests
dataset/ETHPy150Open bbabenko/simple_convnet/simple_convnet/convnet.py/MeanPoolingLayer.__init__--crossover with--dataset/ETHPy150Open architv/chcli/challenges/cli.py/get_contests_data