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@ -1604,7 +1604,6 @@ def run_adapter(rank, world_size, args, wb=None):
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prompt = torch.randn((50, 512), requires_grad=True).to(device)
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print(prompt)
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exit()
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optimizer_adapter = ScaledAdam(
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[prompt],
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lr=params.adapter_lr,
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