

def infer_shape(self, node, shapes):
    (xshp, yshp) = shapes
    (x, y) = node.inputs
    if ((x.ndim == 2) and (y.ndim == 2)):
        return [(xshp[0], shapes[1])]
    if ((x.ndim == 1) and (y.ndim == 2)):
        return [(yshp[1],)]
    if ((x.ndim == 2) and (y.ndim == 1)):
        return [(xshp[0],)]
    if ((x.ndim == 1) and (y.ndim == 1)):
        return [()]
    raise NotImplementedError()

dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/sparse/basic.py Dot.infer_shape/VarMisuse@61/67 `yshp`->`shapes`