

def perform(self, node, inputs, out):
    (x, y) = inputs
    out = out[0]
    x_is_sparse = _is_sparse(x)
    y_is_sparse = _is_sparse(y)
    if ((not x_is_sparse) and (not y_is_sparse)):
        raise TypeError(x)
    rval = (x * y)
    if (x_is_sparse and y_is_sparse):
        rval = rval.toarray()
    out[0] = theano._asarray(rval, dtype=node.outputs[0].dtype)

dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/sparse/basic.py Dot.perform/original