sui-hs opened a new issue #14710: BatchNorm gets inconsistent result between Module API and NDArray API URL: https://github.com/apache/incubator-mxnet/issues/14710 ## Description when using BatchNorm layer in NN, I found that the results differ in Module(Symbol) API and NDArray API. ## Environment info (Required) MxNet version: 1.3.0 ## Build info (Required if built from source) ## Error Message: 1. [with this script](https://gist.github.com/sui-hs/ec86ef6622e8363908ebe4202a335567) the BatchNorm result is: [[-1.1049458 0.45291406] [ 1.3138113 -1.3863459 ] [-0.20886569 0.9334318 ]] 2. [with this script](https://gist.github.com/sui-hs/b36ee22028324b8a6fef6416033e48ed), I got: [[-34.330654 31.538832 ] [ 8.9485655 -47.63322 ] [-18.296946 52.223007 ]] ## Minimum reproducible example ## Steps to reproduce (Paste the commands you ran that produced the error.) 1. run the first script 2. run the second script ## What have you tried to solve it? 1. I tried Executor API directly with the first model, and got the second result. 2. I tried with TensorFlow, and got the second result
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