Error while using CRF with LSTM

Here is my model

input = Input(shape=(19,)) word_embedding_size = 100 n_words=len(word2idx) n_tags=len(tag2idx) model = Embedding(input_dim=n_words, output_dim=word_embedding_size, input_length=19)(input) model = Bidirectional(LSTM(units=word_embedding_size, return_sequences=True, dropout=0.5, recurrent_dropout=0.5, kernel_initializer=keras.initializers.he_normal()))(model) model = LSTM(units=word_embedding_size * 2, return_sequences=True, dropout=0.5, recurrent_dropout=0.5, kernel_initializer=keras.initializers.he_normal())(model) model = TimeDistributed(Dense(n_tags, activation="relu"))(model) # previously softmax output layer

crf = CRF(n_tags) # CRF layer out = crf(model) # output model = Model(input, out)

I am getting these errors, Is this repo not compatible with python3.8 or newer tensorflow versions

TypeError: in user code:

/home/himanshu/.local/lib/python3.8/site-packages/tensorflow/python/keras/engine/training.py:571 train_function  *
    outputs = self.distribute_strategy.run(
/home/himanshu/.local/lib/python3.8/site-packages/keras_contrib/layers/crf.py:292 call  *
    test_output = self.viterbi_decoding(X, mask)
/home/himanshu/.local/lib/python3.8/site-packages/keras_contrib/layers/crf.py:564 viterbi_decoding  *
    argmin_tables = self.recursion(input_energy, mask, return_logZ=False)
/home/himanshu/.local/lib/python3.8/site-packages/keras_contrib/layers/crf.py:523 recursion  *
    target_val_last, target_val_seq, _ = K.rnn(_step, input_energy,
/home/himanshu/.local/lib/python3.8/site-packages/keras/backend/tensorflow_backend.py:3104 rnn  *
    reachable = tf_utils.get_reachable_from_inputs([learning_phase()],
/home/himanshu/.local/lib/python3.8/site-packages/tensorflow/python/keras/utils/tf_utils.py:140 get_reachable_from_inputs  **
    raise TypeError('Expected Operation, Variable, or Tensor, got ' + str(x))

TypeError: Expected Operation, Variable, or Tensor, got

keras-team / keras-contrib

Error while using CRF with LSTM #541