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@@ -201,7 +201,7 @@ class _RemoteMoECall(torch.autograd.Function):
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stacked_alive_outputs = tuple(map(torch.stack, alive_outputs))
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flat_average_outputs = tuple(dot_along_first_axis(alive_expert_probs, stacked_out)
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for stacked_out in stacked_alive_outputs)
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- print(flat_average_outputs)
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+ print('!!!!', flat_average_outputs, flush=True)
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# 3. save individual outputs for backward pass
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ctx.save_for_backward(expert_logits, alive_ix, alive_expert_probs, *stacked_alive_outputs)
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justheuristic