sparsefeature,以传入vocabulary_path的方式做hash，报错

[LitteleStar]

当我用vocabulary_path的方式做hash，如下：
VarLenSparseFeat(SparseFeat('short_item', vocabulary_size=100, embedding_dim=8,use_hash=True,vocabulary_path=index,dtype='int32',embeddings_initializer='uniform',
embedding_name='item'), 4,'mean',
length_name="short_sess_length")

就会有报错：
File "/root/python_proj/song_matching/models/utils.py", line 342, in check_model
model.fit(x, y, batch_size=10, epochs=2, validation_split=0.5)
File "/root/anaconda3/envs/tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/training_v1.py", line 809, in fit
use_multiprocessing=use_multiprocessing)
File "/root/anaconda3/envs/tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/training_arrays.py", line 666, in fit
steps_name='steps_per_epoch')
File "/root/anaconda3/envs/tf2/lib/python3.7/site-packages/tensorflow/python/keras/engine/training_arrays.py", line 386, in model_iteration
batch_outs = f(ins_batch)
File "/root/anaconda3/envs/tf2/lib/python3.7/site-packages/tensorflow/python/keras/backend.py", line 3825, in call
run_metadata=self.run_metadata)
File "/root/anaconda3/envs/tf2/lib/python3.7/site-packages/tensorflow/python/client/session.py", line 1472, in call
run_metadata_ptr)
tensorflow.python.framework.errors_impl.FailedPreconditionError: Table not initialized.
[[{{node hash/hash_table_Lookup/hash_table_Lookup/LookupTableFindV2}}]]

[zhuchenxi]

同问