TypeError Expected int32 got tensorflow python ops variables Variable object at 0x117ea3a10 of t

今天在运行别人的demo程序的时候，发现了一个错误，百思不得其解，明明没干啥，运行别人的demo也出错，我的错误信息为

Traceback (most recent call last):
  File "model.py", line 23, in 
    model.add(LSTM(100))
  File "//anaconda/lib/python2.7/site-packages/keras/models.py", line 332, in add
    output_tensor = layer(self.outputs[0])
  File "//anaconda/lib/python2.7/site-packages/keras/engine/topology.py", line 546, in __call__
    self.build(input_shapes[0])
  File "//anaconda/lib/python2.7/site-packages/keras/layers/recurrent.py", line 784, in build
    self.W = K.concatenate([self.W_i, self.W_f, self.W_c, self.W_o])
  File "//anaconda/lib/python2.7/site-packages/keras/backend/tensorflow_backend.py", line 1427, in concatenate
    return tf.concat(axis, [to_dense(x) for x in tensors])
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/ops/array_ops.py", line 1029, in concat
    dtype=dtypes.int32).get_shape(
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 637, in convert_to_tensor
    as_ref=False)
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 702, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 110, in _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/framework/constant_op.py", line 99, in constant
    tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 367, in make_tensor_proto
    _AssertCompatible(values, dtype)
  File "//anaconda/lib/python2.7/site-packages/tensorflow/python/framework/tensor_util.py", line 302, in _AssertCompatible
    (dtype.name, repr(mismatch), type(mismatch).__name__))
TypeError: Expected int32, got Variable object at 0x117ea3a10> of type 'Variable' instead.

我的代码为：

# LSTM for sequence classification in the IMDB dataset
import numpy
from keras.datasets import imdb
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers.embeddings import Embedding
from keras.preprocessing import sequence
# fix random seed for reproducibility
numpy.random.seed(7)
# load the dataset but only keep the top n words, zero the rest
top_words = 5000
(X_train, y_train), (X_test, y_test) = imdb.load_data(nb_words=top_words)
# truncate and pad input sequences
max_review_length = 500
X_train = sequence.pad_sequences(X_train, maxlen=max_review_length)
X_test = sequence.pad_sequences(X_test, maxlen=max_review_length)
# create the model
embedding_vecor_length = 32
model = Sequential()
model.add(Embedding(top_words, embedding_vecor_length, input_length=max_review_length))
model.add(LSTM(100))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
print(model.summary())
model.fit(X_train, y_train, nb_epoch=3, batch_size=64)
# Final evaluation of the model
scores = model.evaluate(X_test, y_test, verbose=0)
print("Accuracy: %.2f%%" % (scores[1]*100))

环境为

mac
keras 1.2.2
tensorflow (1.0.1)

---

解决方法：

pip install keras --upgrade

升级到2.1.2，然后就运行成功了。