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I noticed that InstanceNorm was not implemented. I tried to follow the same pattern as BatchNorm with a few exceptions.
For BatchNorm, the current implementation always uses weights and biases and always keeps track of running stats.
In the PyTorch implementation this is optional. For InstanceNorm I do need to be able to enable/disable this so I added flags for
like the PyTorch implementation has.
Let me know if I missed anything.