bartekkuncer commented on issue #20826:
URL: 
https://github.com/apache/incubator-mxnet/issues/20826#issuecomment-1073960486


   After further investigation found out that the real problem was reading from 
neither updated nor cleared register during convolution with weights stored in 
blocked format. This problem does not occur when the amount of input channels 
is 4 and higher as full register is being overwritten. Fix for this issue is 
coming in v2.6 of oneDNN.
   
   Original shapes have been restored in the test. There was a temporary fix in 
place: https://github.com/apache/incubator-mxnet/pull/20847 forcing blocking 
the weights by 8 instead of 16, but it turned out only to make the problem 
occur less often. Therefore until v2.6 of oneDNN arrives there will be no 
blocking the weights for convolutions with the amount of input channels lower 
than 4: https://github.com/apache/incubator-mxnet/pull/20970.


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