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In the test case, I am using |
It's not guaranteed that the random number is the same across all systems, the only workaround I can see is to check all possible solutions, if that makes sense? |
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This looks alright. I'll merge it if you don't have anything else to add (take care of the conflicts as well). |
zoq
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Can you update the https://github.com/mlpack/mlpack/blob/master/HISTORY.md as well?
Spatial Dropout Layer
To compare PyTorch/numpy implementation with mlpack/armadillo implementation of the functionality, check this Google Colab notebook.