

def __init__(self, ds, stride, start=0, outputs=0, seed=1234):
    self.ds = ds
    self.stride = stride
    self.start = outputs
    self.copy_non_contiguous = 0
    self.seed_state = shared(numpy.asarray(seed).astype('float32'))
    self.seed_state.default_update = (self.seed_state + 1)
    assert ((stride > 0) and (stride <= ds)), (stride, ds)
    assert (ds > 0), ds

dataset/ETHPy150Open lisa-lab/pylearn2/pylearn2/sandbox/cuda_convnet/stochastic_pool.py StochasticMaxPool.__init__/VarMisuse@42/44 `start`->`outputs`