加载的预定义模型报错

Failed to load https://file.hankcs.com/hanlp/dep/biaffine_ctb7_20200109_022431.zip. See stack trace below
Traceback (most recent call last):
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/hanlp/utils/component_util.py”, line 48, in load_from_meta_file
obj.load(save_dir, **load_kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/hanlp/common/component.py”, line 244, in load
self.build(**merge_dict(self.config, training=False, logger=logger, **kwargs, overwrite=True, inplace=True))
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/hanlp/common/component.py”, line 269, in build
self.model(sample_inputs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py”, line 822, in call
outputs = self.call(cast_inputs, *args, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/hanlp/components/parsers/biaffine/model.py”, line 92, in call
x = self.lstm(embed, mask=mask)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py”, line 822, in call
outputs = self.call(cast_inputs, *args, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/sequential.py”, line 281, in call
outputs = layer(inputs, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/layers/wrappers.py”, line 543, in call
return super(Bidirectional, self).call(inputs, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py”, line 822, in call
outputs = self.call(cast_inputs, *args, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/layers/wrappers.py”, line 657, in call
initial_state=forward_state, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/layers/recurrent.py”, line 644, in call
return super(RNN, self).call(inputs, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/base_layer.py”, line 822, in call
outputs = self.call(cast_inputs, *args, **kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/layers/recurrent_v2.py”, line 1144, in call
**cudnn_lstm_kwargs)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/keras/layers/recurrent_v2.py”, line 1362, in cudnn_lstm
time_major=time_major)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/ops/gen_cudnn_rnn_ops.py”, line 1906, in cudnn_rnnv3
ctx=_ctx)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/ops/gen_cudnn_rnn_ops.py”, line 2002, in cudnn_rnnv3_eager_fallback
attrs=_attrs, ctx=ctx, name=name)
File “/home/hekai1/anaconda3/lib/python3.6/site-packages/tensorflow_core/python/eager/execute.py”, line 67, in quick_execute
six.raise_from(core._status_to_exception(e.code, message), None)
File “”, line 3, in raise_from
tensorflow.python.framework.errors_impl.UnknownError: Fail to find the dnn implementation. [Op:CudnnRNNV3]
https://file.hankcs.com/hanlp/dep/biaffine_ctb7_20200109_022431.zip was created with hanlp-2.0.0, while you are running 2.0.0-alpha.39. Try to upgrade hanlp with
pip install --upgrade hanlp
If the problem persists, please submit an issue to https://github.com/hankcs/HanLP/issues .

https://www.google.com/search?q=tensorflow.python.framework.errors_impl.UnknownError%3A+Fail+to+find+the+dnn+implementation.+[Op%3ACudnnRNNV3]&oq=tensorflow.python.framework.errors_impl.UnknownError%3A+Fail+to+find+the+dnn+implementation.+[Op%3ACudnnRNNV3]