We are experiencing a very similar issue:

  
    
    
    Inference non-deterministic on Windows CPU vision
  
  
    Hello, 
I have observed non-determinism on the Windows CPU build of torch==1.6.0, related to fully-convolutional models’ ability to “tile”. 
By “tiling”, I am referring to the property of translation equivariance, whereby translating the input to a function results in an output that is translated by the same amount. This of course is the basic logic behind convolution, and it can be straightforwardly generalized to models which consist only of convolutional layers (including transpose conv, near…