(self, A, B, C, alpha=1.0, beta=0.0, relu=False)
Perform one of the following operations (* is dot product)
        C = alpha * A * B   + beta * C
        C = alpha * A.T * B + beta * C
        C = alpha * A * B.T + beta * C.

        relu: if true, applied before output (and prior to beta addition)

        The operation will be short-circuited to: out <- alpha * left * right
        if beta has value 0 (the default).

        Arguments:
            A (Tensor): left-hand side operand.
            B (Tensor): right-hand side operand.
            C (Tensor): output operand
            alpha (float. optional): scale A*B term
            beta (float, optional): scale C term before sum
            relu (bool, optional): If True apply ReLu non-linearity before
                                   output.  Defaults to False.
Perform one of the following operations (* is dot product)
        C = alpha * A * B   + beta * C
        C = alpha * A.T * B + beta * C
        C = alpha * A * B.T + beta * C.
Perform one of the following operations ( * is dot product ) C = alpha * A * B + beta * C C = alpha * A . T * B + beta * C C = alpha * A * B . T + beta * C .
def compound_dot(self, A, B, C, alpha=1.0, beta=0.0, relu=False):
        """
        Perform one of the following operations (* is dot product)
        C = alpha * A * B   + beta * C
        C = alpha * A.T * B + beta * C
        C = alpha * A * B.T + beta * C.

        relu: if true, applied before output (and prior to beta addition)

        The operation will be short-circuited to: out <- alpha * left * right
        if beta has value 0 (the default).

        Arguments:
            A (Tensor): left-hand side operand.
            B (Tensor): right-hand side operand.
            C (Tensor): output operand
            alpha (float. optional): scale A*B term
            beta (float, optional): scale C term before sum
            relu (bool, optional): If True apply ReLu non-linearity before
                                   output.  Defaults to False.
        """
        raise NotImplementedError()
def compound_dot ( self , A , B , C , alpha = 1.0 , beta = 0.0 , relu = False ) : raise NotImplementedError ( )