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我的版本：
paddle2onnx 1.2.9 paddlefsl 1.1.0 paddlenlp 2.8.1 paddlepaddle-gpu 2.6.2 paddleslim 2.6.0
问题： 执行模型压缩的时候，会遇到报错：
Traceback (most recent call last): File "/root/workspace/uie_compress/compress_token_cls.py", line 102, in
main()
File "/root/workspace/uie_compress/compress_token_cls.py", line 98, in main
trainer.compress()
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/trainer/trainer_compress.py", line 73, in compress
_dynabert(self, self.model)
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/trainer/trainer_compress.py", line 158, in _dynabert
ofa_model, teacher_model = _dynabert_init(self, model, eval_dataloader)
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/trainer/trainer_compress.py", line 300, in _dynabert_init
head_importance, neuron_importance = compute_neuron_head_importance(
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/transformers/ofa_utils.py", line 307, in compute_neuron_head_importance
logits = model(batch)
File "/opt/conda/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1429, in call
return self.forward(*inputs, *kwargs)
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/transformers/ernie/modeling.py", line 709, in forward
outputs = self.ernie(
File "/opt/conda/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1429, in call
return self.forward(inputs, kwargs)
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/trainer/trainer_compress.py", line 907, in auto_model_dynabert_forward
embedding_output = self.embeddings(embedding_kwargs)
File "/opt/conda/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1429, in call
return self.forward(*inputs, *kwargs)
File "/opt/conda/lib/python3.10/site-packages/paddlenlp/transformers/ernie/modeling.py", line 127, in forward
embeddings = self.layer_norm(embeddings)
File "/opt/conda/lib/python3.10/site-packages/paddle/nn/layer/layers.py", line 1429, in call
return self.forward(inputs, kwargs)
File "/opt/conda/lib/python3.10/site-packages/paddleslim/nas/ofa/layers.py", line 1301, in forward
out, , = paddle._C_ops.layer_norm(
ValueError: too many values to unpack (expected 3)
排查后发现是与paddle库的更改未统一。