def __init__(self, ds, stride, start=0, outputs=0):
        self.ds = ds
        self.stride = stride
        self.start = start
        self.copy_non_contiguous = 0
        assert stride > 0 and stride <= ds, (stride, ds)
        assert ds > 0, ds  # We check in the code if ds <= imgSizeX
dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/sandbox/cuda_convnet/stochastic_pool.py/WeightedMaxPool.__init__/original