svm negative(positive) semidefinite matrix in Rmosek

I tried to set up the svm by using Rmosek package, and I got a problem about

using Rmosek.

## SET UP THE "negative semidefinite matrix"
## K is the kernel
## m=nrow(X)
qy1=t(matrix(Y,m,m))
qy2=matrix(Y,m,m)
Q=qy1*qy2*K*-1


At this stage, I have already checked that Q is the negative

semidefinite matrix.

## qobj i
funi=function(a,m)
op=a:m
return(op)


mi=mapply(funi, a=1:m,m=m)
i=as.numeric(unlist(mi[1:m]))
j=rep(1:m,m:1)

library(MCMCpack)
v=vech(Q)

ql$qobj=list(i=i,
j=j,
v=v)

r =mosek(ql,list( soldetail = 1 ))


However, "sometimes" I still get the error : **"The quadratic coefficient matrix

in the objective is not negative semidefinite"**

Optimizer started.
Quadratic to conic reformulation started.
MOSEK error 1296: The quadratic coefficient matrix in the objective is not negative semidefinite as expected for a maximization problem.
Quadratic to conic reformulation terminated. Time: 0.00
Optimizer terminated. Time: 0.00

Optimization interrupted.
ERROR: MSK_RES_ERR_OBJ_Q_NOT_NSD: The quadratic coefficient matrix in the objective is not NSD.


I don't know which part I am missing or doing wrong.
(I have already checked it so many time, and I am still no idea.)

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