AttributeError: 'module' object has no attribute 'n_entities'

[SeekPoint]

rzai@rzai00:~/prj/DeepMind-Teaching-Machines-to-Read-and-Comprehend$ export DATAPATH=~/prj/DeepMind-Teaching-Machines-to-Read-and-Comprehend/

rzai@rzai00:~/prj/DeepMind-Teaching-Machines-to-Read-and-Comprehend$ python train.py deepmind_deep_lstm Using gpu device 0: GeForce GTX 1080 (CNMeM is disabled, cuDNN 5005) No plotting extension available. Traceback (most recent call last): File "train.py", line 46, in ds, train_stream = data.setup_datastream(path, vocab_path, config) File "/home/rzai/prj/DeepMind-Teaching-Machines-to-Read-and-Comprehend/data.py", line 137, in setup_datastream ds = QADataset(path, vocab_file, config.n_entities, need_sep_token=config.concat_ctx_and_question) AttributeError: 'module' object has no attribute 'n_entities' rzai@rzai00:~/prj/DeepMind-Teaching-Machines-to-Read-and-Comprehend$

[SeekPoint]

this can be fix by

rzai@rzai00:~/prj/DeepMind-Teaching-Machines-to-Read-and-Comprehend$ git diff diff --git a/config/deepmind_deep_lstm.py b/config/deepmind_deep_lstm.py index 10b5c9b..8fd05f3 100644 --- a/config/deepmind_deep_lstm.py +++ b/config/deepmind_deep_lstm.py @@ -3,7 +3,6 @@ from blocks.initialization import IsotropicGaussian, Constant

from model.deep_lstm import Model

batch_size = 32 sort_batch_count = 20

@@ -12,6 +11,7 @@ shuffle_questions = True concat_ctx_and_question = True concat_question_before = True

+n_entities = 550 embed_size = 200

lstm_size = [256, 256]