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nicolas-ivanov / debug_seq2seq

[unmaintained] Make seq2seq for keras work
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TypeError: can only concatenate tuple (not "list") to tuple #15

Closed SeekPoint closed 7 years ago

SeekPoint commented 7 years ago

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: 3.75GiB 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 "/usr/local/lib/python2.7/dist-packages/seq2seq/models.py", line 76, in SimpleSeq2Seq model.add(encoder) File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 276, in add layer.create_input_layer(batch_input_shape, input_dtype) File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 370, in create_input_layer self(x) 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 296, in call File "build/bdist.linux-x86_64/egg/recurrentshop/engine.py", line 51, in TypeError: can only concatenate tuple (not "list") to tuple andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$ git pull Already up-to-date. andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$

farizrahman4u commented 7 years ago

fixed.

SeekPoint commented 7 years ago

@farizrahman4u are you commited to the main branch?

andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$ git remote -v origin https://github.com/nicolas-ivanov/debug_seq2seq (fetch) origin https://github.com/nicolas-ivanov/debug_seq2seq (push) andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$ git pull Already up-to-date. 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: 3.69GiB 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 "/usr/local/lib/python2.7/dist-packages/seq2seq/models.py", line 76, in SimpleSeq2Seq model.add(encoder) File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 276, in add layer.create_input_layer(batch_input_shape, input_dtype) File "/usr/local/lib/python2.7/dist-packages/keras/engine/topology.py", line 370, in create_input_layer self(x) 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 296, in call File "build/bdist.linux-x86_64/egg/recurrentshop/engine.py", line 51, in TypeError: can only concatenate tuple (not "list") to tuple andy1028@andy1028-Envy:/media/andy1028/data1t/os_prj/github/debug_seq2seq$

farizrahman4u commented 7 years ago

Update recurrentshop and Seq2seq.

SeekPoint commented 7 years ago

new error occured.

close this