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I noticed that as the training progresses, sometimes most tokens are routed to the same expert. Would be worthy it to add in expert bias handling to avoid this situation.
For instance, on a smaller setup with topk=1, bs=1, seqLen=8, if I print out the topk_idx returned by the router, I see patterns like:
[XXX] layer: 1 topk_idx: [30, 30, 30, 30, 30, 30, 30, 30]
[XXX] layer: 2 topk_idx: [19, 19, 19, 19, 19, 19, 19, 19]
[XXX] layer: 3 topk_idx: [9, 9, 9, 9, 9, 9, 9, 9]
[XXX] layer: 4 topk_idx: [43, 43, 43, 43, 43, 43, 43, 43]
[XXX] layer: 5 topk_idx: [56, 56, 56, 56, 56, 56, 56, 56]
[XXX] layer: 6 topk_idx: [18, 18, 18, 18, 18, 18, 18, 18]
[XXX] layer: 7 topk_idx: [33, 33, 33, 33, 33, 33, 33, 33]
cc: @lessw2020
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enhancementNew feature or requestNew feature or request