(self, a, b, out=None)
Performs element-wise minimum value assignment based on corresponding
        elements of left and right, storing the result in out. Each operand is
        assumed to be the same shape (or broadcastable as such).

        Arguments:
            a (Tensor, numeric): left-hand side operand.
            b (Tensor, numeric): right-hand side operand.
            out (Tensor, optional): where the result will be stored. If out is
                                    None, only the op-tree will be returned.

        Returns:
            OpTreeNode: the resulting op-tree
Performs element-wise minimum value assignment based on corresponding
        elements of left and right, storing the result in out. Each operand is
        assumed to be the same shape (or broadcastable as such).
Performs element - wise minimum value assignment based on corresponding elements of left and right storing the result in out . Each operand is assumed to be the same shape ( or broadcastable as such ) .
def minimum(self, a, b, out=None):
        """
        Performs element-wise minimum value assignment based on corresponding
        elements of left and right, storing the result in out. Each operand is
        assumed to be the same shape (or broadcastable as such).

        Arguments:
            a (Tensor, numeric): left-hand side operand.
            b (Tensor, numeric): right-hand side operand.
            out (Tensor, optional): where the result will be stored. If out is
                                    None, only the op-tree will be returned.

        Returns:
            OpTreeNode: the resulting op-tree
        """
        raise NotImplementedError()
def minimum ( self , a , b , out = None ) : raise NotImplementedError ( )