random data generation using mean and identity matrix

i want to create a random variable X~N(mu,A), mu is mean = 0 and A is a 10*10 identity matrix. what I want to do is to generate a data with normal distribution with 10*1000 size using the above information. the dimension 10*1000 is very important. please check out my code below: (i keep getting x with 1000*10 even though i want a size of 10*1000)

sigma = eye(10); mu = repelem(zeros,10); xTrain = mvnrnd(mu,sigma,1000);

please help if you can, i know this is very elementary. thanks

[KSSV]

Cant you transpose the result?

[fafz1203]

yeah, i but i was not supposed to do that

Answer 1

[Massimo Zanetti]

Just transpose the solution:

MU=zeros(1,10);
SIGMA=eye(10);
xTrain = mvnrnd(MU,SIGMA,1000)';

[fafz1203]

i can but i was not supposed to do that