[GitHub] [incubator-mxnet] mseth10 commented on issue #14721: Random number generator seed setting does not always work for `mxnet.ndarray.linalg.potrf`

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mseth10 commented on issue #14721: Random number generator seed setting does not always work for `mxnet.ndarray.linalg.potrf`
URL: https://github.com/apache/incubator-mxnet/issues/14721#issuecomment-492876912
 
 
   @iaroslav-ai , I tried reproducing the error, but wasn't able to. I ran the code given by you 10,000 times and it produces the same `L` every iteration. Also, I checked the code for `potrf` and found that the implementation does not involve a random generator, so having the same output is expected.
   
   I am using the same version of MXNet and ran the code on CPU. Are you using GPU?
   
   Code used (with slight modification):
   ```
   import numpy as np
   import mxnet as mx
   from mxnet import nd
   
   K = nd.load("K-1-1")[0]
   L_previous = None
   
   for i in range(10000):
       np.random.seed(0)
       mx.random.seed(0)
   
       L = nd.linalg.potrf(K)
   
       if L_previous is not None:
           # print("Result difference, should be 0:", nd.sum(nd.abs(L-L_previous)))
           is_unequal = nd.sum(1 - nd.equal(L, L_previous)) # 0 if same
           if is_unequal:
               print ('ERROR')
               break
   
       L_previous = L
   
   ```

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