rCNN.py

tokens_input = Input(name='input', shape=(None, max_doc_len, max_sent_len), dtype="int32")
x = Embedding(p.max_features, p.embedding_dims)(tokens_input)
model = Model(input=tokens_input, output=x)
model.summary()
'''
Layer (type)                       Output Shape        Param #     Connected to                     
====================================================================================================
input (InputLayer)                 (None, None, 500, 500                                            
____________________________________________________________________________________________________
embedding_11 (Embedding)           (None, None, 200)   2000000     input[0][0]                      
====================================================================================================
Total params: 2000000
____________________________________________________________________________________________________
'''
r = Reshape((max_doc_len, p.max_sent_len*embedding_dims))(x)
# TypeError: long() argument must be a string or a number, not 'NoneType'