AttributeError: 'CRF' object has no attribute '_inbound_nodes

[zhmfan]

2018-04-17 14:11:48.703574: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
WARNING:tensorflow:From /usr/local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:1188: calling reduce_sum (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
bilstm_cnn_crf.py:59: UserWarning: Update your Conv1D call to the Keras 2 API: Conv1D(padding="valid", kernel_size=5, filters=50)
conv=Conv1D(nb_filter=50,filter_length=2*half_window_size+1,padding='valid')(padding_layer)
WARNING:tensorflow:From /usr/local/lib/python3.5/site-packages/tensorflow/python/util/deprecation.py:497: calling conv1d (from tensorflow.python.ops.nn_ops) with data_format=NHWC is deprecated and will be removed in a future version.
Instructions for updating:
NHWC for data_format is deprecated, use NWC instead
bilstm_cnn_crf.py:64: UserWarning: The merge function is deprecated and will be removed after 08/2017. Use instead layers from keras.layers.merge, e.g. add, concatenate, etc.
rnn_cnn_merge=merge([bilstm_d,dense_conv],mode='concat',concat_axis=2)
/usr/local/lib/python3.5/site-packages/keras/legacy/layers.py:458: UserWarning: The Merge layer is deprecated and will be removed after 08/2017. Use instead layers from keras.layers.merge, e.g. add, concatenate, etc.
name=name)
WARNING:tensorflow:From /usr/local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py:1171: calling reduce_min (from tensorflow.python.ops.math_ops) with keep_dims is deprecated and will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
bilstm_cnn_crf.py:72: UserWarning: Update your Model call to the Keras 2 API: Model(inputs=[<tf.Tenso..., outputs=[<tf.Tenso...)
model = Model(output=[crf_output], input=[word_input])
Traceback (most recent call last):
File "bilstm_cnn_crf.py", line 458, in
main()
File "bilstm_cnn_crf.py", line 436, in main
process_train(corpus_path,nb_epoch,base_model_weight)
File "bilstm_cnn_crf.py", line 248, in process_train
model=Bilstm_CNN_Crf(max_len,len(lexicon),len(label_2_index),embedding_weights)
File "bilstm_cnn_crf.py", line 74, in Bilstm_CNN_Crf
model.compile(loss=crf.loss_function,optimizer='adam',metrics=[crf.accuracy])
File "/usr/local/lib/python3.5/site-packages/keras/engine/training.py", line 850, in compile
sample_weight, mask)
File "/usr/local/lib/python3.5/site-packages/keras/engine/training.py", line 450, in weighted
score_array = fn(y_true, y_pred)
File "/usr/local/lib/python3.5/site-packages/keras_contrib/layers/crf.py", line 287, in loss
assert self._inbound_nodes, 'CRF has not connected to any layer.'

[zhmfan]

执行python bilstm_cnn_crf.py 的时候，一直报这个错误，不知道该怎么解决

[FanhuaandLuomu]

@zhmfan 这是因为keras版本和keras_contrib版本不匹配，可以pip install keras==2.0.6 试试

[eagle-star]

我也是这样的问题，版本都对啊

[FanhuaandLuomu]

@liueagle 试试windows系统下

[XL2248]

是后端tensorflow版本和keras版本不匹配的原因，比如keras==2.1.3 tensorflow==1.2.1没有问题，无关系统