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@ -1605,8 +1605,9 @@ def run_adapter(rank, world_size, args, wb=None):
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lora_modules = []
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lora_modules = []
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for modules in model.modules():
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for modules in model.modules():
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if isinstance(modules, fairseq.modules.multihead_attention.MultiheadAttention):
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if isinstance(modules, fairseq.modules.multihead_attention.MultiheadAttention):
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for module in modules.modules():
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lora_modules.append(modules)
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if rank == 0: logging.info(module)
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#for module in modules.modules():
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# if rank == 0: logging.info(module)
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#print(module)
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#print(module)
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#if isinstance(module, torch.nn.Linear):
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#if isinstance(module, torch.nn.Linear):
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# lora_modules.append(LoRAHook(module))
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# lora_modules.append(LoRAHook(module))
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