def make_node(self, x, y):
        x, y = as_sparse_variable(x), tensor.as_tensor_variable(y)

        assert x.format in ["csr", "csc"]

        # upcast the tensor. Is the cast of sparse done implemented?
        dtype = scalar.upcast(x.type.dtype, y.type.dtype)

        # The magic number two here arises because L{scipy.sparse}
        # objects must be matrices (have dimension 2)
        # Broadcasting of the sparse matrix is not supported.
        # We support nd == 0 used by grad of SpSum()
        assert y.type.ndim in [0, 2]
        out = SparseType(dtype=dtype,
                         format=x.type.format)()
        return gof.Apply(self, [x, y], [out])
dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/sparse/basic.py/MulSD.make_node/original