TypeError: __int__ returned non-int (type NoneType)

[SeekPoint]

andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$ python bin/train.py
INFO:gensim.utils:Pattern library is not installed, lemmatization won't be available.
INFO:summa.preprocessing.cleaner:'pattern' package not found; tag filters are not available for English
Using TensorFlow backend.
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
INFO:lib.dialog_processor:Loading corpus data...
INFO:lib.dialog_processor:/var/lib/try_seq2seq/corpora_processed/movie_lines_cleaned_m1.txt and /var/lib/try_seq2seq/words_index/w_idx_movie_lines_cleaned_m1.txt exist, loading files from disk
INFO:main:-----
INFO:lib.w2v_model.w2v:Loading model from /var/lib/try_seq2seq/w2v_models/movie_lines_cleaned_w5_m1_v256.bin
INFO:gensim.utils:loading Word2Vec object from /var/lib/try_seq2seq/w2v_models/movie_lines_cleaned_w5_m1_v256.bin
INFO:gensim.utils:setting ignored attribute syn0norm to None
INFO:gensim.utils:setting ignored attribute cum_table to None
INFO:lib.w2v_model.w2v:Model "movie_lines_cleaned_w5_m1_v256.bin" has been loaded.
INFO:main:-----
INFO:lib.nn_model.model:Initializing NN model with the following params:
INFO:lib.nn_model.model:Input dimension: 256 (token vector size)
INFO:lib.nn_model.model:Hidden dimension: 512
INFO:lib.nn_model.model:Output dimension: 20001 (token dict size)
INFO:lib.nn_model.model:Input seq length: 16
INFO:lib.nn_model.model:Output seq length: 6
INFO:lib.nn_model.model:Batch size: 32
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:925] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties:
name: GeForce GTX 950M
major: 5 minor: 0 memoryClockRate (GHz) 1.124
pciBusID 0000:01:00.0
Total memory: 4.00GiB
Free memory: 3.68GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0: Y
I tensorflow/core/common_runtime/gpu/gpu_device.cc:839] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 950M, pci bus id: 0000:01:00.0)
Traceback (most recent call last):
File "bin/train.py", line 37, in
learn()
File "bin/train.py", line 30, in learn
nn_model = get_nn_model(token_dict_size=len(index_to_token))
File "/media/andy1028/data1t/os_prj/github/debug_seq2seq/lib/nn_model/model.py", line 29, in get_nn_model
depth=1
File "build/bdist.linux-x86_64/egg/seq2seq/models.py", line 77, in SimpleSeq2Seq
File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 308, in add
output_tensor = layer(self.outputs[0])
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 514, in call
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 572, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 149, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "build/bdist.linux-x86_64/egg/recurrentshop/engine.py", line 305, in call
File "build/bdist.linux-x86_64/egg/recurrentshop/engine.py", line 51, in
File "/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py", line 1175, in rnn
state_size = int(states[0].get_shape()[-1])
TypeError: int returned non-int (type NoneType)
andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$

[krywykj]

Same problem here, looking for solutions.

[lekhamohan]

Did you get the solution for this?

  File "alexnet.py", line 120, in <module>
    main()
  File "alexnet.py", line 118, in main
    network()
  File "alexnet.py", line 101, in network
    model_info = model.fit(x =[data1,data2],y=one_hot_labels,epochs = 7000, callbacks = callbacks_list,validation_split = 0.2,batch_size =4, verbose=2 )
  File "/home/lwalajap/local/anaconda2/lib/python2.7/site-packages/keras/models.py", line 867, in fit
    initial_epoch=initial_epoch)
  File "/home/lwalajap/local/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1522, in fit
    batch_size=batch_size)
  File "/home/lwalajap/local/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 1389, in _standardize_user_data
    in zip(y, sample_weights, class_weights, self._feed_sample_weight_modes)]
  File "/home/lwalajap/local/anaconda2/lib/python2.7/site-packages/keras/engine/training.py", line 561, in _standardize_weights
    return np.ones((y.shape[0],), dtype=K.floatx())
  File "/home/lwalajap/local/anaconda2/lib/python2.7/site-packages/numpy/core/numeric.py", line 192, in ones
    a = empty(shape, dtype, order)
TypeError: __index__ returned non-(int,long) (type NoneType)

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