Disambiguating Command is not Compelete

[talatccan]

Hi, i have 2 quesitons.

I was trying all commands in order of them. I've run Disambiguating command. Process didnt complete even if i waited a lot for it. And there was no error or something like this. Is it normal? What should i do?

The comman i've run:

python train.py --command disambiguate --train_filepath data/train.merge.utf8 --test_filepath data/test.merge.utf8 --model_path ./models/ntd-5_haziran-final.hdf5 --label2ids_path ./models/ntd-5_haziran-final.hdf5.label2ids --run_name testing

Unfinished Output:

Tensor("sentences_word_root_input:0", shape=(?, 66, 24, 41), dtype=int32)
Tensor("char_embedding_layer/Gather:0", shape=(?, 64944, 100), dtype=float32)
lstm_layer_output_relu Tensor("activation_1/Relu:0", shape=(?, 1584, 200), dtype=float32)
lstm_layer_output_relu_reshaped Tensor("reshape_2/Reshape:0", shape=(?, 66, 24, 200), dtype=float32)
Tensor("tag_embedding_layer/Gather:0", shape=(?, 36432, 100), dtype=float32)
lstm_layer_output_relu Tensor("activation_2/Relu:0", shape=(?, 1584, 200), dtype=float32)
lstm_layer_output_relu_reshaped Tensor("reshape_4/Reshape:0", shape=(?, 66, 24, 200), dtype=float32)
char_lstm_layer_output Tensor("reshape_2/Reshape:0", shape=(?, 66, 24, 200), dtype=float32)
R_matrix Tensor("activation_3/Tanh:0", shape=(?, 66, 24, 200), dtype=float32)
Tensor("char_embedding_layer_1/Gather:0", shape=(?, 2706, 100), dtype=float32)
char_bi_lstm_outputs Tensor("time_distributed_3/Reshape_17:0", shape=(?, 66, 200), dtype=float32)
sentence_level_bi_lstm_outputs Tensor("bidirectional_4/add_16:0", shape=(?, ?, 200), dtype=float32)
sentence_level_bi_lstm_outputs_tanh Tensor("activation_4/Tanh:0", shape=(?, ?, 200), dtype=float32)
h Tensor("activation_4/Tanh:0", shape=(?, ?, 200), dtype=float32)
INPUTS TO LAMBDA: [<tf.Tensor 'activation_3/Tanh:0' shape=(?, 66, 24, 200) dtype=float32>, <tf.Tensor 'activation_4/Tanh:0' shape=(?, ?, 200) dtype=float32>]
p Tensor("p/truediv:0", shape=(?, 66, 24), dtype=float32)
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

[faraday]

@talatccan disambiguate expects its input from sys.stdin. When you see tensorflow waiting, it's time to write a sentence and hit Enter.