输入长度未超过512也会报长度错误 about flat-lattice-transformer

[LeeSureman]

句子长度最大是多少？

[qlg-9999]

Traceback (most recent call last): File "flat_main.py", line 787, in trainer.train() File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/core/trainer.py", line 613, in train self.callback_manager.on_exception(e) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/core/callback.py", line 309, in wrapper returns.append(getattr(callback, func.name)(*arg)) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/core/callback.py", line 505, in on_exception raise exception # 抛出陌生Error File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/core/trainer.py", line 609, in train self._train() File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/core/trainer.py", line 664, in _train prediction = self._data_forward(self.model, batch_x) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/core/trainer.py", line 752, in _data_forward y = network(**x) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call result = self.forward(*input, **kwargs) File "../V1/models.py", line 440, in forward bert_embed = self.bert_embedding(char_for_bert) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call result = self.forward(*input, **kwargs) File "../fastNLP_module.py", line 389, in forward outputs = self.model(words) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/torch/nn/modules/module.py", line 541, in call result = self.forward(*input, **kwargs) File "/raid/ztt/anaconda2/envs/p3/lib/python3.6/site-packages/fastNLP/embeddings/bert_embedding.py", line 339, in forward "After split words into word pieces, the lengths of word pieces are longer than the " RuntimeError: After split words into word pieces, the lengths of word pieces are longer than the maximum allowed sequence length:512 of bert. You can set auto_truncate=True for BertEmbedding to automatically truncate overlong input.
我也出现了这样的情况，将auto_truncate = Ture也不太管用，请问您解决了吗

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[LeeSureman]

额，你能把具体送到bert embedd里的序列长度输出给我看一下么